{"meta":{"query_hash":"5fce98ba5c6c","filters":{"venue":"AgEcon Search (University of Minnesota, USA)"},"cohort_total":726,"direct_labels_cover":0,"predictions_cover":726,"exported":726,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5fce98ba5c6c","api":"https://metacan.xera.ac/api/v1/cohort?venue=AgEcon+Search+%28University+of+Minnesota%2C+USA%29"},"results":[{"id":"W109900318","doi":"10.48416/ijsaf.v20i3.176","title":"Searching for the ‘Alternative’, Caring, Reflexive Consumer","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":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sociology; Conversation; Praise; Reflexivity; Politics; Capitalism; Public relations; Marketing; Business; Political science; Law; Social science; Psychology; Social psychology","score_opus":0.06294804016579288,"score_gpt":0.24327501657457276,"score_spread":0.18032697640877987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W109900318","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11151682,0.008471966,0.03443735,0.14129628,0.0030136304,0.000102361904,0.00009011593,0.00020222401,0.7008693],"genre_scores_gemma":[0.7810958,0.004191895,0.029010972,0.01766843,0.0006040322,0.0000710049,0.00012714455,0.00021394154,0.1670168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977315,0.0010903716,0.000062742285,0.00029633357,0.00061769463,0.00020133978],"domain_scores_gemma":[0.9973757,0.0009641015,0.00032061868,0.00027953635,0.0005813378,0.00047871974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003107253,0.0003127437,0.00035172567,0.0006573823,0.0036384317,0.0076097716,0.00088231673,0.0028503868,0.026176201],"category_scores_gemma":[0.006082896,0.00021896177,0.00037393105,0.0006042401,0.0065150876,0.006562782,0.003231598,0.0030522658,0.0056155804],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028355382,0.00024257196,0.005666511,0.0010530687,0.000067026194,0.0027020578,0.13134544,0.00017855423,0.013868811,0.56104064,0.1139099,0.16964185],"study_design_scores_gemma":[0.0000428363,0.00013925604,0.0026197697,0.000621777,0.000054242417,0.002917909,0.11171129,0.00075192994,0.0024927596,0.11547152,0.7631003,0.00007626869],"about_ca_topic_score_codex":0.0009041792,"about_ca_topic_score_gemma":0.0028487812,"teacher_disagreement_score":0.026176201,"about_ca_system_score_codex":0.0011374067,"about_ca_system_score_gemma":0.0022984357,"threshold_uncertainty_score":0.087568164},"labels":[],"label_agreement":null},{"id":"W1137110739","doi":"10.22004/ag.econ.202542","title":"The Economics of Forest Carbon Sequestration Revisited: A Challenge for Emissions Offset Trading","year":2015,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Victoria","keywords":"Carbon offset; Carbon sequestration; Natural resource economics; Additionality; Carbon credit; Carbon tax; Carbon price; Greenhouse gas; Bioenergy; Carbon accounting; Carbon neutrality; Cellulosic ethanol; Subsidy; Business; Emissions trading; Environmental science; Revenue; Climate change mitigation; Renewable energy; Climate change; Environmental economics; Economics; Finance; Ecology; Carbon dioxide; Engineering","score_opus":0.05846924820234777,"score_gpt":0.26509685952369416,"score_spread":0.20662761132134638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1137110739","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065805346,0.20867579,0.052778896,0.4429806,0.0016067601,0.00006768303,0.00022315737,0.000077139084,0.22778465],"genre_scores_gemma":[0.85710144,0.08869372,0.009401359,0.016759641,0.0052968045,0.00009668812,0.000049752274,0.0000875415,0.02251298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986559,0.0005948177,0.000035783825,0.00015083984,0.0003750901,0.00018744645],"domain_scores_gemma":[0.9969189,0.0023720732,0.00019676705,0.00011644284,0.00024304973,0.0001527751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024218755,0.00051416055,0.001341809,0.0010981649,0.0014507365,0.0070267883,0.0013309352,0.0068355994,0.00513654],"category_scores_gemma":[0.0030813168,0.00037279454,0.0010560523,0.0014556763,0.007291469,0.011027453,0.0022107994,0.0097491965,0.0003406498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001828816,0.000021895448,0.00020141152,0.000075277494,0.00001268089,0.00009667472,0.00007285638,0.0058342917,0.0001680667,0.97939014,0.00220036,0.011908068],"study_design_scores_gemma":[0.000013537822,0.000029894773,0.00051694317,0.00022035258,0.000009345807,0.00016536999,0.00034165705,0.006708298,0.000108195054,0.9691952,0.022666723,0.000024514062],"about_ca_topic_score_codex":0.004585126,"about_ca_topic_score_gemma":0.005520857,"teacher_disagreement_score":0.0070267883,"about_ca_system_score_codex":0.004461483,"about_ca_system_score_gemma":0.0027125967,"threshold_uncertainty_score":0.032370448},"labels":[],"label_agreement":null},{"id":"W1481238265","doi":"10.22004/ag.econ.125541","title":"Initial Price Policy of Canadian Wheat Board and Declining Barley Exports","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Revenue; Agricultural economics; Point (geometry); Economics; Government (linguistics); Business; Agricultural science; International economics; Biology; Mathematics; Finance","score_opus":0.03986942536744099,"score_gpt":0.23138391654886853,"score_spread":0.19151449118142755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481238265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8811426,0.0021581107,0.00025774527,0.020474706,0.00006897775,0.000024778434,0.0020798484,0.00004184694,0.09375134],"genre_scores_gemma":[0.98351145,0.0010301371,0.00015981938,0.0010629604,0.00001702985,0.00000510446,0.0005586155,0.000012827252,0.013642089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989924,0.00005151663,0.000018710134,0.00008438375,0.00033014643,0.00052292156],"domain_scores_gemma":[0.9980307,0.00021442493,0.00035348447,0.00003312078,0.0009691134,0.00039910752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074098184,0.00019221925,0.00021753176,0.0009979188,0.0037877816,0.0031408244,0.00076352037,0.0008401285,0.0058779498],"category_scores_gemma":[0.004119324,0.00019380655,0.00026599382,0.0016510803,0.001255213,0.00070582115,0.00072661805,0.0010524532,0.00018644982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010756705,0.000233541,0.60616994,0.0004573518,0.00012695296,0.0028354172,0.009561648,0.010823576,0.0074000396,0.17747769,0.08437322,0.09946496],"study_design_scores_gemma":[0.0000427498,0.000058425976,0.8928539,0.00012910321,0.000053453616,0.00020463447,0.009237878,0.0022404338,0.0013291454,0.0026295152,0.09113449,0.000086260836],"about_ca_topic_score_codex":0.9922616,"about_ca_topic_score_gemma":0.99328136,"teacher_disagreement_score":0.083162,"about_ca_system_score_codex":0.083162,"about_ca_system_score_gemma":0.058105387,"threshold_uncertainty_score":0.6033854},"labels":[],"label_agreement":null},{"id":"W1481503650","doi":"10.22004/ag.econ.19939","title":"ANALYSIS OF PRODUCTION STRUCTURE OF THE CANADIAN PULP AND PAPER INDUSTRY : 1961-1996","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Production (economics); Capital (architecture); Technological change; Technical change; Cobb–Douglas production function; Production function; Economies of scale; Derived demand; Factors of production; Agricultural economics; Econometrics; Microeconomics; Demand curve; Macroeconomics","score_opus":0.04785051164572971,"score_gpt":0.20036637373571906,"score_spread":0.15251586208998935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481503650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940532,0.003751415,0.00299354,0.0007349381,0.000023128388,0.00012447621,0.040151868,0.000101469624,0.011587119],"genre_scores_gemma":[0.9599705,0.0017905834,0.0017851342,0.000029269426,0.000008495619,0.00002670484,0.02651826,0.000021608941,0.009849488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937135,0.000024055875,0.000019604306,0.00010499912,0.00028675626,0.00019318648],"domain_scores_gemma":[0.9987363,0.00012374108,0.0001757312,0.00004546327,0.0008365633,0.00008219125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074306957,0.0007062087,0.00042010078,0.0038939202,0.0010840229,0.0013893156,0.0010718023,0.0004069849,0.0026517326],"category_scores_gemma":[0.0023624485,0.0005022168,0.0008131291,0.007787084,0.0004702028,0.00040166458,0.00040203065,0.00054666714,0.00049307034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006632488,0.00013288281,0.5347734,0.00083665823,0.0006034179,0.0014259663,0.0014941805,0.3178634,0.0037898005,0.017996324,0.016436307,0.10398433],"study_design_scores_gemma":[0.00002135151,0.00003750771,0.9326172,0.000058211037,0.000120754295,0.00015189538,0.0006330444,0.04280002,0.0013456955,0.0006493128,0.021492338,0.00007275756],"about_ca_topic_score_codex":0.9888664,"about_ca_topic_score_gemma":0.9887233,"teacher_disagreement_score":0.05223237,"about_ca_system_score_codex":0.05223237,"about_ca_system_score_gemma":0.015087706,"threshold_uncertainty_score":0.37897414},"labels":[],"label_agreement":null},{"id":"W1481580119","doi":"10.22004/ag.econ.125201","title":"An African Green Revolution Leading to Development","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agribusiness; Business; Green Revolution; Quarter (Canadian coin); Agricultural economics; Natural resource economics; Economic growth; Economics; Geography","score_opus":0.054313905075856025,"score_gpt":0.2566327557399352,"score_spread":0.20231885066407918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481580119","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009564613,0.15300009,0.002246311,0.40877923,0.009769711,0.000052910458,0.0002602058,0.00014053605,0.4161864],"genre_scores_gemma":[0.41974047,0.16770674,0.009351346,0.097670995,0.0033672906,0.00018254691,0.00017545006,0.00016589816,0.30163932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993556,0.00025640675,0.000016033724,0.000054300443,0.0001160921,0.00020152332],"domain_scores_gemma":[0.99935895,0.00015410117,0.0000657319,0.00007058779,0.00008208483,0.00026854023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017682718,0.0005180543,0.00027030977,0.0005823059,0.0028974144,0.0036799826,0.00030745947,0.0022955071,0.01483571],"category_scores_gemma":[0.0022367598,0.000106396496,0.00019655468,0.00093281106,0.0046920883,0.0030900957,0.003626603,0.0033254672,0.0027857705],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049573162,0.000025448182,0.00043814108,0.00034005352,0.000010341648,0.00041670466,0.0028785134,0.00014681545,0.0006452842,0.5873243,0.26415315,0.14357157],"study_design_scores_gemma":[0.0000041171897,0.0000066817624,0.00036579376,0.00017030981,0.0000015813362,0.00004661836,0.00044931806,0.000019279341,0.00006041852,0.016830495,0.98204285,0.0000025326378],"about_ca_topic_score_codex":0.006065175,"about_ca_topic_score_gemma":0.01018565,"teacher_disagreement_score":0.01483571,"about_ca_system_score_codex":0.0033345053,"about_ca_system_score_gemma":0.0061548674,"threshold_uncertainty_score":0.049630404},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.12607338645465352,"score_gpt":0.2822758598520375,"score_spread":0.156202473397384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481945423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07836396,0.018654754,0.8217756,0.0023890114,0.0016444824,0.00091862836,0.014231543,0.005387146,0.056634896],"genre_scores_gemma":[0.7316511,0.004121853,0.23980945,0.0010349178,0.0016692302,0.00270417,0.013101059,0.0018967912,0.0040114173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9843125,0.008070379,0.0011502675,0.0020451879,0.0037255608,0.00069622946],"domain_scores_gemma":[0.64323866,0.32815126,0.0073683765,0.009729049,0.010079727,0.0014329329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015497651,0.0015777661,0.001949417,0.014434503,0.0014094817,0.0024702097,0.0023403831,0.0020574166,0.02523992],"category_scores_gemma":[0.22034088,0.0006664409,0.0012584517,0.007501111,0.0025337515,0.0038907994,0.0014820738,0.0035430691,0.0034532216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016396348,0.00047038746,0.033478666,0.0039299047,0.0009693335,0.0016043992,0.00096614583,0.058865674,0.0031672965,0.3939273,0.14370292,0.3572784],"study_design_scores_gemma":[0.0005609776,0.0007001766,0.019313985,0.0017447766,0.0002818753,0.0020983357,0.0007525655,0.091913044,0.010889006,0.8158073,0.05558452,0.00035347417],"about_ca_topic_score_codex":0.00061198685,"about_ca_topic_score_gemma":0.0003509038,"teacher_disagreement_score":0.02523992,"about_ca_system_score_codex":0.001612477,"about_ca_system_score_gemma":0.0012022181,"threshold_uncertainty_score":0.08443594},"labels":[],"label_agreement":null},{"id":"W1483672955","doi":"10.22004/ag.econ.46362","title":"Water for Life Strategy in Alberta: Changing Priorities in Canadian Water Policy?","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Water resources; Water conservation; Water use; Water resource management; Water trading; Irrigation; Business; Productivity; Groundwater; Farm water; Environmental planning; Natural resource economics; Government (linguistics); Surface water; Environmental science; Economics; Environmental engineering; Economic growth; Engineering; Ecology","score_opus":0.011686464964728917,"score_gpt":0.18680174756898352,"score_spread":0.1751152826042546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483672955","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12831683,0.027616058,0.00267807,0.63943326,0.001199791,0.00022503205,0.0019445412,0.00019909671,0.19838735],"genre_scores_gemma":[0.7733731,0.027124021,0.011797418,0.06323525,0.00025635114,0.00011109658,0.0014764678,0.00012036096,0.12250584],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996148,0.00036775295,0.00008632838,0.00019376464,0.0013705533,0.0018337021],"domain_scores_gemma":[0.9957612,0.00042735413,0.00012703225,0.00005395499,0.0017206921,0.0019096972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030726679,0.00043633065,0.0004353549,0.0015975388,0.009770487,0.009274995,0.002128197,0.0033945488,0.0076520094],"category_scores_gemma":[0.0047717243,0.00040976898,0.00042615624,0.0036613576,0.002951448,0.0024119297,0.0017289204,0.0025381178,0.00032095888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032707793,0.0003491179,0.04121287,0.0011163322,0.00011041375,0.0019754078,0.0072610057,0.01071775,0.0032070929,0.31165516,0.31400234,0.30806547],"study_design_scores_gemma":[0.0001158275,0.00013296759,0.10933951,0.0009120488,0.000107938606,0.00023400543,0.03843542,0.007946354,0.001372754,0.03146984,0.80960494,0.00032846158],"about_ca_topic_score_codex":0.9951303,"about_ca_topic_score_gemma":0.9986099,"teacher_disagreement_score":0.16921492,"about_ca_system_score_codex":0.16921492,"about_ca_system_score_gemma":0.38378915,"threshold_uncertainty_score":0.96359295},"labels":[],"label_agreement":null},{"id":"W1483858286","doi":"10.22004/ag.econ.31781","title":"CONFLICT, CO-OPERATION, AND CULTURE: A STUDY IN MULTIPARTY NEGOTIATIONS","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Context (archaeology); Political science; Constitution; Law and economics; Political economy; Sociology; Law; Geography","score_opus":0.07869433006806584,"score_gpt":0.2515261915545515,"score_spread":0.1728318614864857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483858286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97113234,0.0004152918,0.002299571,0.0012118805,0.000039024348,0.00015125771,0.000028229178,0.000008218309,0.024714278],"genre_scores_gemma":[0.99669635,0.0003240664,0.00061108515,0.00017190451,0.00001558071,0.00011865466,0.00001923069,0.000010711355,0.0020325147],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97960347,0.015944019,0.0002989612,0.00067417644,0.0017021266,0.0017772384],"domain_scores_gemma":[0.97490954,0.019361157,0.0016924106,0.00064150215,0.0013303609,0.0020651422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012207931,0.0004899157,0.00058888097,0.0022425544,0.023305222,0.014059039,0.0028930425,0.0020427327,0.0030103934],"category_scores_gemma":[0.025674336,0.0004637303,0.00043670347,0.0035991678,0.015324051,0.00550348,0.008601666,0.0043571247,0.00031603774],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004740442,0.00020855221,0.008124948,0.000049877035,0.000010716153,0.0005560088,0.96859545,0.00035114086,0.00017619766,0.014487124,0.00040926147,0.0069833966],"study_design_scores_gemma":[0.00000977564,0.000060872444,0.004462302,0.000055577584,0.0000048394404,0.00014203147,0.9835983,0.00074676884,0.00013316385,0.0024676602,0.008300625,0.0000181512],"about_ca_topic_score_codex":0.07353105,"about_ca_topic_score_gemma":0.061981484,"teacher_disagreement_score":0.07353105,"about_ca_system_score_codex":0.011328154,"about_ca_system_score_gemma":0.009059313,"threshold_uncertainty_score":0.14620608},"labels":[],"label_agreement":null},{"id":"W1484690351","doi":"10.22004/ag.econ.55302","title":"A Statistical Profile of the Pork Supply Chain","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Competition (biology); Industrial organization; Agriculture; Agribusiness; Food industry; Marketing; Food science; Geography","score_opus":0.018892210730885886,"score_gpt":0.20346863812904203,"score_spread":0.18457642739815616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484690351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9232604,0.00030336925,0.0069904076,0.00033315545,0.000017621267,0.00020493622,0.051542956,0.00023350968,0.01711366],"genre_scores_gemma":[0.94566655,0.00039309496,0.0027237167,0.000041107716,0.000022668864,0.00015006006,0.041851852,0.00004887485,0.009102134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984999,0.00024320405,0.00017107936,0.0002478391,0.0006273874,0.00021067639],"domain_scores_gemma":[0.99120843,0.0021735688,0.001701466,0.00056416757,0.0038551649,0.00049722084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012298333,0.00014514195,0.00018230072,0.0039931354,0.00040568825,0.0010529216,0.00023277248,0.00022594375,0.0072817253],"category_scores_gemma":[0.007877199,0.00012029788,0.0002773643,0.0077087707,0.00019920839,0.0007856446,0.0005298965,0.00028931885,0.002011749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015105528,0.000032174994,0.95968914,0.000048654107,0.000050942937,0.00014717189,0.00034844616,0.003219771,0.000804467,0.0018550835,0.004209823,0.02944332],"study_design_scores_gemma":[0.000004948853,0.0001549846,0.9653751,0.000023243756,0.000018432234,0.00035319527,0.0016612357,0.012617416,0.00060687924,0.0009034851,0.01826152,0.000019493958],"about_ca_topic_score_codex":0.028680181,"about_ca_topic_score_gemma":0.019946054,"teacher_disagreement_score":0.028680181,"about_ca_system_score_codex":0.0010767402,"about_ca_system_score_gemma":0.0014572255,"threshold_uncertainty_score":0.057026505},"labels":[],"label_agreement":null},{"id":"W1484776355","doi":"10.22004/ag.econ.34105","title":"Systematic Breeding Decisions Made Within A Vertically Integrated Beef Supply Chain","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Sire; Gross margin; Supply chain; Stock (firearms); Revenue; Business; Quality (philosophy); Agricultural science; Econometrics; Economics; Microeconomics; Production (economics); Animal science; Engineering; Biology; Marketing","score_opus":0.038172237437435495,"score_gpt":0.2117822573531455,"score_spread":0.17361001991570998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484776355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9475744,0.000048232763,0.049328912,0.0001322765,0.000005930794,0.00005803818,0.00007526322,0.000033612094,0.0027433105],"genre_scores_gemma":[0.98846835,0.000046320834,0.010085995,0.00002177961,0.00000262656,0.000018963063,0.00006758797,0.0000055840915,0.001282888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993622,0.0003267071,0.000020349813,0.00010378696,0.00008697027,0.00010006456],"domain_scores_gemma":[0.9985097,0.0007772308,0.00034660453,0.000105453764,0.00014964979,0.00011140326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015415752,0.00024485931,0.00031186774,0.0002438619,0.00032477535,0.001036573,0.0004206965,0.00043692166,0.0022812898],"category_scores_gemma":[0.004226162,0.0003844929,0.00019763374,0.0002727388,0.00034303454,0.0010396655,0.0005610746,0.00042481232,0.00014459975],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053898606,0.00018688684,0.06513045,0.000045038785,0.00008453644,0.00038213443,0.00024959902,0.8786671,0.0077340095,0.014220761,0.00039289708,0.032367587],"study_design_scores_gemma":[0.00004403806,0.00031275125,0.013344956,0.000014428821,0.000032366694,0.000047296522,0.00019493105,0.9762942,0.00096604455,0.008215781,0.0005145753,0.000018665658],"about_ca_topic_score_codex":0.006512622,"about_ca_topic_score_gemma":0.010618993,"teacher_disagreement_score":0.006512622,"about_ca_system_score_codex":0.000859744,"about_ca_system_score_gemma":0.0011817665,"threshold_uncertainty_score":0.012949407},"labels":[],"label_agreement":null},{"id":"W1488453459","doi":"10.22004/ag.econ.7992","title":"Poverty and environmental degradation under trade liberalization: searching for second-best policy options.","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Economics; Poverty; Agriculture; Subsidy; Natural resource economics; Geography; Economic growth","score_opus":0.013992149561991374,"score_gpt":0.21435531627874763,"score_spread":0.20036316671675625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488453459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9184806,0.0072980775,0.020260708,0.017065872,0.000090571564,0.000101089136,0.00045186904,0.000047154317,0.036204103],"genre_scores_gemma":[0.99457574,0.0020267207,0.0016574023,0.000208296,0.000024947236,0.00003241867,0.00004109187,0.000006908306,0.0014264386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995726,0.00024989774,0.0000052325568,0.000032640073,0.000024938243,0.00011471832],"domain_scores_gemma":[0.9985856,0.0009878621,0.00022921457,0.000023088665,0.000072330964,0.000101798556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013117302,0.0004897572,0.0006387746,0.00069677725,0.00074949715,0.002699064,0.0005615256,0.0018272827,0.0027119094],"category_scores_gemma":[0.0031252438,0.0003174325,0.0006737949,0.0007029297,0.0011492699,0.0018762453,0.0014402727,0.0011215797,0.00007938104],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071142893,0.00048286107,0.029408516,0.00047708268,0.0005537194,0.0013756966,0.000566231,0.766396,0.0007363773,0.16494162,0.0055380384,0.028812401],"study_design_scores_gemma":[0.00020422107,0.00051821355,0.016626172,0.0001722491,0.0002813409,0.00015256977,0.004509051,0.8043936,0.00041896728,0.16641432,0.0062581254,0.00005114684],"about_ca_topic_score_codex":0.020467656,"about_ca_topic_score_gemma":0.024709038,"teacher_disagreement_score":0.020467656,"about_ca_system_score_codex":0.0030247448,"about_ca_system_score_gemma":0.001989812,"threshold_uncertainty_score":0.04069704},"labels":[],"label_agreement":null},{"id":"W1488810744","doi":"10.22004/ag.econ.100689","title":"Estimations of the price transmission and market power in canola export market: implication to canola import of Japan","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Agriculture, Forestry and Fisheries","keywords":"Canola; Rapeseed; Market power; Economics; Agricultural economics; China; Business; International economics; Market economy; Agronomy; Geography","score_opus":0.0478721548057182,"score_gpt":0.21932169274039426,"score_spread":0.17144953793467604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488810744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99600923,0.00008856381,0.0018499055,0.000046226844,0.000002895036,0.000013492415,0.00010062976,0.000011047859,0.0018780635],"genre_scores_gemma":[0.998809,0.00006898359,0.00052087486,0.00000595875,0.000006262387,0.0000041776843,0.00018191681,0.0000029879354,0.00039977714],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996247,0.00007462121,0.00003032126,0.00007564222,0.0001142438,0.00008039229],"domain_scores_gemma":[0.9976966,0.0011641983,0.00057285046,0.00013898776,0.00030641133,0.00012098404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008490147,0.00033040147,0.00025746186,0.0011591861,0.00021580925,0.00091992045,0.00028872892,0.00028346526,0.001677752],"category_scores_gemma":[0.005324972,0.00016434334,0.00054503605,0.0012078914,0.00032905105,0.0013810529,0.00044373085,0.0004887331,0.0001869791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027553487,0.00014737154,0.9325845,0.0001328346,0.0003662581,0.0010734621,0.0017523008,0.021075744,0.0049379133,0.003917887,0.00052428513,0.033211835],"study_design_scores_gemma":[0.000022022055,0.00014128452,0.88154376,0.000014544367,0.00018813007,0.0001902976,0.0024404665,0.11003071,0.0026244419,0.0015253213,0.0012443138,0.000034782417],"about_ca_topic_score_codex":0.023569366,"about_ca_topic_score_gemma":0.012089914,"teacher_disagreement_score":0.97643065,"about_ca_system_score_codex":0.0004996863,"about_ca_system_score_gemma":0.0004527427,"threshold_uncertainty_score":0.04686439},"labels":[],"label_agreement":null},{"id":"W1488821018","doi":"10.22004/ag.econ.23833","title":"U.S. Canadian Agricultural Trade Conflicts: Time for a New Paradigm","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"International trade; Commodity; Agriculture; Duty; Fur trade; Business; Economics; International economics; Agricultural economics; Political science; Geography; Law; Market economy","score_opus":0.02421903895680132,"score_gpt":0.2439599454374584,"score_spread":0.21974090648065706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488821018","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007778956,0.01913878,0.0011676175,0.86598074,0.001426199,0.000025961459,0.00026810853,0.000026126729,0.104187496],"genre_scores_gemma":[0.6857521,0.054306496,0.010706285,0.1940571,0.0021036286,0.00015705613,0.00042318663,0.00008370793,0.052410357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.993964,0.0011672506,0.00015258061,0.0005966146,0.0022910908,0.0018284346],"domain_scores_gemma":[0.9893917,0.0014850529,0.0004426447,0.00033144906,0.005248113,0.003101059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074548023,0.00057840423,0.00073043583,0.003225506,0.028477402,0.016492337,0.0026436637,0.0074391845,0.012005676],"category_scores_gemma":[0.012348161,0.00038765054,0.0005387022,0.004855945,0.026397157,0.0075729466,0.005260695,0.008809293,0.0005639833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022216844,0.000022860997,0.0020447604,0.00009983465,0.000013905941,0.000110713416,0.0054068705,0.0004799408,0.00008331662,0.7823314,0.17317623,0.036207914],"study_design_scores_gemma":[0.000031360018,0.000017865621,0.008097286,0.00074323616,0.00003584471,0.000079810794,0.024554882,0.00071240833,0.000100987425,0.2748727,0.69067204,0.00008155445],"about_ca_topic_score_codex":0.9793578,"about_ca_topic_score_gemma":0.99139374,"teacher_disagreement_score":0.18977118,"about_ca_system_score_codex":0.18977118,"about_ca_system_score_gemma":0.28733012,"threshold_uncertainty_score":0.9397506},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.052929571823421624,"score_gpt":0.31336342210168794,"score_spread":0.2604338502782663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489903261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99820507,0.000017488603,0.0009755192,0.000058552247,0.0000053254826,0.00019307608,0.00030423896,0.000018653554,0.00022206799],"genre_scores_gemma":[0.99558616,0.00003786177,0.002167428,0.00006464953,0.000016613445,0.00051243237,0.00065171183,0.0000039528077,0.0009591149],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9970003,0.0020664844,0.00008390811,0.00039686015,0.00012643446,0.00032593778],"domain_scores_gemma":[0.96900564,0.021726945,0.0058078067,0.0018561379,0.0006814701,0.0009220699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007199644,0.00071428803,0.00074871193,0.000810816,0.0007598824,0.00095868355,0.0016724278,0.001426895,0.003669124],"category_scores_gemma":[0.013710289,0.00073490443,0.00092911714,0.0008407748,0.0012734358,0.0010272699,0.0011663162,0.0017270754,0.0005942389],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01913671,0.033710945,0.73542213,0.00034370797,0.0014148072,0.0006756774,0.0015978557,0.15941106,0.0035026267,0.0040788283,0.003182882,0.037522748],"study_design_scores_gemma":[0.0022382438,0.015660219,0.2948315,0.000053604268,0.00060716603,0.00014267776,0.0021495984,0.67152226,0.0061875056,0.004206304,0.0022326552,0.00016821317],"about_ca_topic_score_codex":0.02198232,"about_ca_topic_score_gemma":0.024557862,"teacher_disagreement_score":0.02198232,"about_ca_system_score_codex":0.0017626808,"about_ca_system_score_gemma":0.0013818983,"threshold_uncertainty_score":0.04370874},"labels":[],"label_agreement":null},{"id":"W1491458615","doi":"10.22004/ag.econ.18100","title":"PRICE DISCOVERY MECHANISMS AND ALTERNATIVES FOR CANADIAN AGRICULTURE; Part II: A Review of Pricing Mechanisms from the Economic Literature","year":2003,"lang":"en","type":"review","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agricultural Adaptation Council","keywords":"Supply chain; Value (mathematics); Product (mathematics); Mechanism (biology); Economics; Industrial organization; Microeconomics; Investment (military); Price mechanism; Quality (philosophy); Investment theory; Business; Market price; Financial economics; Marketing; Capital asset pricing model","score_opus":0.03474730215887591,"score_gpt":0.22495430373496522,"score_spread":0.1902070015760893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491458615","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096894463,0.98799896,0.0016617446,0.0012511071,0.00012903888,0.000013086454,0.000019447465,0.000008022493,0.007949661],"genre_scores_gemma":[0.012837012,0.983232,0.0017529139,0.00036792285,0.00022250558,0.000018418366,0.000021619056,0.000004045924,0.0015435246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991424,0.00018159214,0.00006245815,0.00012350992,0.00043516682,0.000054892193],"domain_scores_gemma":[0.996727,0.0020286187,0.00051481585,0.0000825509,0.0005896736,0.000057284822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020243407,0.0006727537,0.0010266091,0.0051474385,0.0008589935,0.0030854018,0.0012832921,0.0020884422,0.004383069],"category_scores_gemma":[0.0053994586,0.00052029354,0.0005984266,0.007539202,0.0015769626,0.004229201,0.0005769504,0.0014658155,0.00068346364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086048836,0.00014239756,0.0007910083,0.0096590035,0.00007816223,0.00031001447,0.00024500134,0.0031895938,0.00065649906,0.18150987,0.019361287,0.7839711],"study_design_scores_gemma":[0.00004632887,0.00016318653,0.0054793996,0.010532588,0.0001994427,0.0011623669,0.0005083093,0.0030610638,0.000900413,0.09614954,0.88169163,0.000105840714],"about_ca_topic_score_codex":0.020162998,"about_ca_topic_score_gemma":0.028728645,"teacher_disagreement_score":0.979837,"about_ca_system_score_codex":0.005916401,"about_ca_system_score_gemma":0.0056204866,"threshold_uncertainty_score":0.04292673},"labels":[],"label_agreement":null},{"id":"W1494024711","doi":"10.22004/ag.econ.24181","title":"Single Bid Restriction in Milk Quota Exchanges - Comparing the Danish and the Ontario Exchanges","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Danish; Valuation (finance); Economics; Microeconomics; Business; Econometrics; Finance","score_opus":0.2159643410503805,"score_gpt":0.3128749724065644,"score_spread":0.09691063135618391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494024711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734858,0.0002908551,0.007199876,0.00026646798,0.00001128327,0.00012145001,0.00027524296,0.000020839483,0.01832809],"genre_scores_gemma":[0.9967964,0.000053179447,0.0011778944,0.00002509972,0.00000438311,0.000031965523,0.00014495058,0.0000064005835,0.0017597034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919743,0.0036304998,0.00045783675,0.0007885518,0.0022733856,0.000875346],"domain_scores_gemma":[0.9763498,0.013669348,0.005470321,0.0019850384,0.0018200949,0.0007053809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006567911,0.00028950072,0.0009363163,0.0005676153,0.001412374,0.0031405196,0.00084061257,0.0008034131,0.0032879112],"category_scores_gemma":[0.02972692,0.00042046537,0.00061069155,0.0013880652,0.0017120936,0.0019785282,0.0010416077,0.0005315327,0.00026518657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014149759,0.00090874144,0.49399766,0.00088113436,0.0009036589,0.0011985347,0.009553088,0.18882686,0.018033633,0.17307271,0.0045527243,0.093921505],"study_design_scores_gemma":[0.0011667755,0.0020181723,0.7819762,0.00012599138,0.0005976483,0.00053165946,0.010691915,0.11567951,0.009570113,0.034062948,0.043256853,0.0003220944],"about_ca_topic_score_codex":0.1704254,"about_ca_topic_score_gemma":0.27160224,"teacher_disagreement_score":0.8295746,"about_ca_system_score_codex":0.01028834,"about_ca_system_score_gemma":0.0050683618,"threshold_uncertainty_score":0.33886683},"labels":[],"label_agreement":null},{"id":"W1495076117","doi":"10.22004/ag.econ.14613","title":"ESTABLISHING DOMESTIC SUPPORT COMMITMENTS THROUGH A HARMONIZATION FORMULA","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Undergraduate Neuroscience Education and Research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; U.S. Department of Agriculture","keywords":"Harmonization; Business; Political science; Philosophy","score_opus":0.1368914016569828,"score_gpt":0.34194469493784774,"score_spread":0.20505329328086494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495076117","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15452176,0.0006748743,0.17436934,0.0385537,0.00069305615,0.0012083196,0.00047086013,0.00053253927,0.62897563],"genre_scores_gemma":[0.9503965,0.0002052443,0.02836681,0.0023766232,0.00025250317,0.0009964752,0.00012455464,0.00012940842,0.017151952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98955417,0.0046730433,0.0004948801,0.00154945,0.0020456936,0.001682703],"domain_scores_gemma":[0.9838082,0.00784485,0.001491992,0.0033716175,0.002422339,0.0010610597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017467346,0.000795722,0.0013203174,0.0025746368,0.0043627615,0.0098545775,0.003148295,0.006338372,0.02350821],"category_scores_gemma":[0.041463297,0.0009378216,0.00077231444,0.002981227,0.0053262752,0.009579565,0.011996523,0.006422681,0.001844963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009679387,0.00012768556,0.0007991011,0.000086141496,0.000048949238,0.00010532468,0.00077490025,0.005810979,0.00057954574,0.93970317,0.010624408,0.041243065],"study_design_scores_gemma":[0.00023708493,0.000113218106,0.0021457186,0.00019146607,0.0000700507,0.000086858585,0.0024439434,0.014108428,0.00096562214,0.93541217,0.04418204,0.000043416316],"about_ca_topic_score_codex":0.0020989068,"about_ca_topic_score_gemma":0.00326085,"teacher_disagreement_score":0.02350821,"about_ca_system_score_codex":0.0048351376,"about_ca_system_score_gemma":0.008202056,"threshold_uncertainty_score":0.092377305},"labels":[],"label_agreement":null},{"id":"W1495548193","doi":"10.22004/ag.econ.16778","title":"STRATEGIC ALLIANCES AND JOINT VENTURES UNDER NAFTA: CONCEPTS AND EVIDENCE","year":2000,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Purchasing; Alliance; Agribusiness; Joint venture; Joint (building); Agricultural economics; Commerce; International trade; Marketing; Economy; Agriculture; Economics; Geography; Engineering","score_opus":0.11961342343190766,"score_gpt":0.27380513084852354,"score_spread":0.15419170741661586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495548193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8206439,0.051410098,0.0026324778,0.013449158,0.00017496033,0.0001827591,0.00087020814,0.00003274166,0.11060381],"genre_scores_gemma":[0.9804411,0.016504599,0.0007805527,0.0005557053,0.00008289133,0.00005520753,0.00030718461,0.0000059389918,0.001266782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.987025,0.004983405,0.0008750474,0.0017474507,0.004254041,0.0011150191],"domain_scores_gemma":[0.66879475,0.23570684,0.059233464,0.009124629,0.020316659,0.006823612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02188619,0.00029611148,0.0004892668,0.0045258077,0.0035612297,0.006617104,0.0015248749,0.0029101644,0.007816466],"category_scores_gemma":[0.09567067,0.00037018186,0.00031815664,0.0084452955,0.011732387,0.0074185627,0.003748525,0.002356133,0.0006124551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011222997,0.00090705935,0.4946321,0.0018910412,0.0006176888,0.0012877284,0.024542188,0.00088590663,0.00030363494,0.21040268,0.010874588,0.25253314],"study_design_scores_gemma":[0.00047642837,0.001083675,0.6347519,0.009188381,0.0007713588,0.0019793534,0.09679067,0.002034517,0.0011304473,0.07905041,0.17259264,0.00015020842],"about_ca_topic_score_codex":0.02585653,"about_ca_topic_score_gemma":0.028420353,"teacher_disagreement_score":0.02585653,"about_ca_system_score_codex":0.0027456784,"about_ca_system_score_gemma":0.005155146,"threshold_uncertainty_score":0.11574662},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.14847900448908224,"score_gpt":0.3153641023396641,"score_spread":0.16688509785058186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496341902","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40401566,0.015446646,0.002658377,0.48469585,0.00047663247,0.00004214581,0.0009175687,0.000063365515,0.0916837],"genre_scores_gemma":[0.98241055,0.0067757685,0.00048117092,0.004620774,0.00011522975,0.000017065773,0.000103935934,0.000015570844,0.0054600607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99944836,0.0002355618,0.000012601736,0.000043108477,0.000058088848,0.00020222746],"domain_scores_gemma":[0.9986829,0.0006686888,0.0001968019,0.000050869952,0.00020853277,0.00019216564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013917795,0.0002957856,0.00039992537,0.0006780412,0.000974897,0.0036541808,0.00058400107,0.001331523,0.0082306],"category_scores_gemma":[0.0048423754,0.000121824894,0.00022771716,0.0014172608,0.0014545969,0.002448945,0.0011804192,0.001062318,0.00033272797],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033133806,0.00017121925,0.09092957,0.0006642219,0.00016370122,0.0046786335,0.0050768894,0.016028916,0.001448372,0.66042334,0.06365994,0.1564239],"study_design_scores_gemma":[0.000087029715,0.00020982494,0.09375139,0.0014431535,0.000109209075,0.0011575038,0.03677391,0.021251177,0.0009368335,0.55728674,0.28689533,0.00009795835],"about_ca_topic_score_codex":0.037740525,"about_ca_topic_score_gemma":0.034967426,"teacher_disagreement_score":0.037740525,"about_ca_system_score_codex":0.004261125,"about_ca_system_score_gemma":0.0038642848,"threshold_uncertainty_score":0.07504171},"labels":[],"label_agreement":null},{"id":"W1497950018","doi":"10.22004/ag.econ.18812","title":"DOES PROXIMITY TO A GOLF COURSE MATTER?","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mile; Quarter (Canadian coin); Value (mathematics); Space (punctuation); Course (navigation); Geography; Agricultural economics; Property value; Living space; Statistics; Mathematics; Demographic economics; Business; Engineering; Economics; Archaeology; Computer science","score_opus":0.034944339309138976,"score_gpt":0.2215158665483611,"score_spread":0.18657152723922213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497950018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99017125,0.0017091173,0.000670105,0.0016992236,0.00008024173,0.000021244792,0.000828455,0.000008593714,0.0048117386],"genre_scores_gemma":[0.99765223,0.00032912396,0.000093853196,0.00015448341,0.00006922591,0.0000067130136,0.0003957748,0.0000043793657,0.0012941648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985983,0.00051268406,0.000082666294,0.00033052865,0.00021341756,0.00026245226],"domain_scores_gemma":[0.97714555,0.012499698,0.006234407,0.0006699117,0.0007078803,0.002742607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017918505,0.000283352,0.0007869795,0.00085656275,0.0007911756,0.0019554975,0.0007671045,0.0014163496,0.014395468],"category_scores_gemma":[0.011605876,0.0001906046,0.0010412163,0.0016279342,0.0009849693,0.0015238937,0.0009325209,0.0013071123,0.0014312222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017244718,0.00011658405,0.9920298,0.000050069975,0.0002839128,0.00019993201,0.00019882803,0.00023385411,0.000113089525,0.00038394833,0.0005221851,0.0056954105],"study_design_scores_gemma":[0.000008005166,0.0001935878,0.9968546,0.000020476695,0.00013875609,0.0001025364,0.0007602355,0.00037381754,0.00006227319,0.00043335257,0.0010459071,0.0000065433155],"about_ca_topic_score_codex":0.014826438,"about_ca_topic_score_gemma":0.020562729,"teacher_disagreement_score":0.014826438,"about_ca_system_score_codex":0.00051278016,"about_ca_system_score_gemma":0.0005429364,"threshold_uncertainty_score":0.048157692},"labels":[],"label_agreement":null},{"id":"W1498162090","doi":"10.22004/ag.econ.52727","title":"Environmental and Economic Impact Assessments of Environmental Regulations for the Agriculture Sector: A Case Study of Hog Farming","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Pillar; Business; Environmental impact assessment; Agricultural economics; Natural resource economics; Environmental planning; Environmental protection; Economics; Geography; Engineering","score_opus":0.0321060475442805,"score_gpt":0.2516659640750935,"score_spread":0.219559916530813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498162090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586934,0.000077274264,0.0005071815,0.00017100348,0.0000026133168,0.00009369145,0.0001292465,0.0000030834774,0.0031465169],"genre_scores_gemma":[0.9960653,0.00029080306,0.0019215824,0.000039384675,0.0000052769888,0.00004935815,0.00009726666,0.000002768555,0.0015282774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986249,0.00074843946,0.000045305165,0.00007867967,0.0002704141,0.00023210462],"domain_scores_gemma":[0.996874,0.0021772948,0.00031500004,0.00011787283,0.0003604319,0.0001553149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023442751,0.00035861265,0.0002791582,0.0010885715,0.0020696465,0.0013828323,0.00070248736,0.001518746,0.001287723],"category_scores_gemma":[0.0033275986,0.00027093934,0.00053626613,0.0019748134,0.00086227205,0.0010853218,0.0007079914,0.0007612344,0.00007480042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015477026,0.010533883,0.5301557,0.00077005953,0.0003475445,0.03691176,0.017647358,0.26687568,0.009010995,0.02678988,0.005227184,0.094182245],"study_design_scores_gemma":[0.0002942227,0.005024804,0.6523444,0.00027775325,0.00025433654,0.004207993,0.13304591,0.15553963,0.010518222,0.008874802,0.029342813,0.00027511435],"about_ca_topic_score_codex":0.079618014,"about_ca_topic_score_gemma":0.19758171,"teacher_disagreement_score":0.079618014,"about_ca_system_score_codex":0.0071254456,"about_ca_system_score_gemma":0.0027655396,"threshold_uncertainty_score":0.15830916},"labels":[],"label_agreement":null},{"id":"W1498560441","doi":"10.22004/ag.econ.27141","title":"EFFECTS OF ADVERTISING, FOOD SAFETY AND HEALTH CONCERNS ON MEAT DEMAND IN CANADA","year":2004,"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":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Per capita; Newspaper; Agricultural economics; Consumption (sociology); Population; Food safety; Quarter (Canadian coin); Business; Agricultural science; Advertising; Economics; Food science; Geography; Environmental health; Biology; Medicine","score_opus":0.019042639132986757,"score_gpt":0.19302811488796423,"score_spread":0.17398547575497747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498560441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97452277,0.0015145805,0.0000913462,0.004596844,0.000044530512,0.000041405558,0.009385488,0.0000348169,0.009768246],"genre_scores_gemma":[0.98413855,0.00084338646,0.00010242871,0.0003835683,0.000015934787,0.000010462853,0.0018601338,0.000014503864,0.01263093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989858,0.0000903683,0.00005224702,0.00012198972,0.00032499083,0.00042450632],"domain_scores_gemma":[0.9924143,0.0011766152,0.0007870781,0.00011807664,0.003226303,0.0022776339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081878784,0.00037942434,0.0005580412,0.0017181295,0.0034331002,0.002273468,0.0013197673,0.0012322976,0.012775084],"category_scores_gemma":[0.0040848115,0.00050198106,0.0011012481,0.0033010838,0.0011343041,0.00064471184,0.0010974063,0.0017724035,0.0006344743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012502568,0.00040226636,0.9580095,0.00012938585,0.00023533124,0.00044282505,0.0020260033,0.0025281522,0.00058975525,0.0029686093,0.014831241,0.016586734],"study_design_scores_gemma":[0.00006227344,0.00006391719,0.9870034,0.000042504314,0.000109062144,0.000060445385,0.0032794774,0.0024624832,0.00020204707,0.00025458707,0.0064071054,0.00005289278],"about_ca_topic_score_codex":0.99906474,"about_ca_topic_score_gemma":0.99943715,"teacher_disagreement_score":0.082420655,"about_ca_system_score_codex":0.082420655,"about_ca_system_score_gemma":0.073655464,"threshold_uncertainty_score":0.5980065},"labels":[],"label_agreement":null},{"id":"W1498765559","doi":"10.22004/ag.econ.202606","title":"Agricultural Policy-Making in Sub Saharan Africa: APRM Process in Kenya","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Egerton University; Agence Française de Développement; Deutsches Institut für Entwicklungspolitik; International Fund for Agricultural Development; New Partnership for Africa's Development; International Development Research Centre; Consortium pour la recherche économique en Afrique; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Agriculture; Agricultural economics; Process (computing); Business; Geography; Economic growth; Development economics; Economics; Political science; Computer science; Archaeology","score_opus":0.035978250007353586,"score_gpt":0.24950768029575954,"score_spread":0.21352943028840596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498765559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7511936,0.0045406055,0.0022750276,0.03707273,0.00009578442,0.0005947078,0.0003352566,0.00002376807,0.20386857],"genre_scores_gemma":[0.9814494,0.0009903234,0.0011989383,0.000501647,0.000012588238,0.000108704306,0.00003664702,0.000009541438,0.015692132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960639,0.0022901949,0.00014486244,0.0001633746,0.00034064773,0.0009969708],"domain_scores_gemma":[0.99122775,0.006326248,0.00084797567,0.00017596497,0.00061525387,0.00080682087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009559512,0.0002607785,0.00027704425,0.0010620898,0.0094039235,0.005468997,0.00083074183,0.0022563052,0.009751246],"category_scores_gemma":[0.01655917,0.00035183635,0.00016903221,0.0021052863,0.0041742427,0.0043401397,0.0040311567,0.002208355,0.0005817774],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064503745,0.00038809248,0.024942422,0.00070143805,0.00003900609,0.005986412,0.1855864,0.0035850133,0.002428211,0.63237476,0.018922355,0.12440088],"study_design_scores_gemma":[0.00017958062,0.00030640414,0.08035487,0.0013532212,0.0000650205,0.0007423726,0.3322563,0.004275051,0.004106574,0.19360922,0.38264072,0.000110662055],"about_ca_topic_score_codex":0.029678646,"about_ca_topic_score_gemma":0.06581466,"teacher_disagreement_score":0.029678646,"about_ca_system_score_codex":0.011935799,"about_ca_system_score_gemma":0.02007235,"threshold_uncertainty_score":0.08660072},"labels":[],"label_agreement":null},{"id":"W150410869","doi":"10.22004/ag.econ.199784","title":"Revisiting the Impact of Trade Liberalization and Mergers on the Malting Industry of North America","year":2012,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market power; Oligopoly; Welfare; Economics; International economics; Business; Market economy","score_opus":0.03768457590593414,"score_gpt":0.21869157906725992,"score_spread":0.18100700316132579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W150410869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879667,0.0013390185,0.00020120178,0.0015954974,0.000012430704,0.000013469733,0.00013757982,0.000012002745,0.00872198],"genre_scores_gemma":[0.99678373,0.001094975,0.00015174366,0.00039347998,0.000018606524,0.0000054116476,0.000110796456,0.0000031812647,0.0014380215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992686,0.00016726778,0.000030327865,0.00009538488,0.00019749186,0.00024092557],"domain_scores_gemma":[0.9972235,0.0011283448,0.0009562052,0.00010578762,0.00040181127,0.0001843734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008753493,0.00027848437,0.0004116477,0.0011851263,0.0011535743,0.002174694,0.0005284892,0.0006769084,0.003767681],"category_scores_gemma":[0.0026253187,0.00019299185,0.0006973928,0.0015271062,0.0012864219,0.0014193606,0.0014585687,0.0008117801,0.00017645501],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013259903,0.00075970404,0.78126335,0.00066234637,0.0007779572,0.005547287,0.0097833285,0.023131613,0.02718242,0.0246438,0.0065490836,0.118373126],"study_design_scores_gemma":[0.000029097748,0.00034707825,0.95223516,0.00010194559,0.00020377465,0.00017215537,0.016783178,0.0039528576,0.0027661743,0.0042007146,0.019170338,0.000037593243],"about_ca_topic_score_codex":0.24347173,"about_ca_topic_score_gemma":0.3824693,"teacher_disagreement_score":0.24347173,"about_ca_system_score_codex":0.004676395,"about_ca_system_score_gemma":0.0027385135,"threshold_uncertainty_score":0.48410916},"labels":[],"label_agreement":null},{"id":"W1505685688","doi":"10.22004/ag.econ.18121","title":"PRICE DISCOVERY MECHANISMS AND ALTERNATIVES FOR CANADIAN AGRICULTURE; Part I: A Review of Pricing Mechanisms in Agriculture","year":2003,"lang":"en","type":"review","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agribusiness; Product (mathematics); Business; Economics; Agricultural science; Agricultural economics; Industrial organization; Marketing; Biology; Ecology; Mathematics","score_opus":0.04163900075694544,"score_gpt":0.23197220984044126,"score_spread":0.19033320908349582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505685688","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00070633856,0.9937807,0.0006843908,0.0004538567,0.00007794599,0.000011603427,0.00002536564,0.0000066555776,0.0042531905],"genre_scores_gemma":[0.00629111,0.99134606,0.0010065373,0.00020358154,0.000099493926,0.000013993963,0.000025718373,0.0000021910103,0.0010114148],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944705,0.00012686689,0.000058829915,0.00008586454,0.00023863045,0.00004268627],"domain_scores_gemma":[0.998142,0.0011147382,0.00029791653,0.000045595527,0.00036539143,0.000034302164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012906521,0.00064160285,0.0010594634,0.0047070184,0.00056786265,0.0021201405,0.0008798032,0.0012827965,0.0029926284],"category_scores_gemma":[0.003385028,0.0004645902,0.0006023808,0.0069357017,0.0009869203,0.0029374575,0.0003658796,0.0009578322,0.0005118423],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088776294,0.00008870816,0.0011715733,0.020167908,0.00013719042,0.00030431498,0.00032216654,0.0026174837,0.00097034406,0.09925341,0.028444512,0.8464336],"study_design_scores_gemma":[0.000026609388,0.00013057304,0.007446835,0.010170567,0.00021108951,0.0010153878,0.00038570457,0.0013484185,0.00047019817,0.028092736,0.9506371,0.000064749955],"about_ca_topic_score_codex":0.039774302,"about_ca_topic_score_gemma":0.057797167,"teacher_disagreement_score":0.9602257,"about_ca_system_score_codex":0.005073127,"about_ca_system_score_gemma":0.0050927754,"threshold_uncertainty_score":0.07908559},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.09091036279687685,"score_gpt":0.23033617807806456,"score_spread":0.1394258152811877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506751634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73611647,0.012017904,0.17461929,0.037893757,0.0003324139,0.0000782065,0.0004154631,0.0004142185,0.03811232],"genre_scores_gemma":[0.9926265,0.001590685,0.0031379028,0.00056971057,0.00022228654,0.00002124477,0.000059837595,0.000025024483,0.0017467774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997161,0.0000796562,0.000017162727,0.000044152774,0.000075691714,0.000067288485],"domain_scores_gemma":[0.9924529,0.0050364463,0.0014116492,0.00059592526,0.00029265715,0.00021040562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018612684,0.00029129506,0.0007338134,0.0013312395,0.00032516324,0.0016664483,0.0012788372,0.002168284,0.006103003],"category_scores_gemma":[0.016283548,0.0002793984,0.0007845411,0.0011181069,0.002321574,0.0075476086,0.0009896924,0.0015600348,0.0004607407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002765437,0.00013999858,0.02880116,0.0003170571,0.0001374283,0.0015904036,0.0015143874,0.03668981,0.0018868957,0.84261,0.004126358,0.081909984],"study_design_scores_gemma":[0.000027017704,0.000024400968,0.0042988854,0.000026874875,0.000008650973,0.00023227357,0.0001756868,0.02478611,0.00011182541,0.9676097,0.0026810265,0.000017400742],"about_ca_topic_score_codex":0.00073370326,"about_ca_topic_score_gemma":0.0004078432,"teacher_disagreement_score":0.006103003,"about_ca_system_score_codex":0.00062935473,"about_ca_system_score_gemma":0.00035488638,"threshold_uncertainty_score":0.020416617},"labels":[],"label_agreement":null},{"id":"W1507123548","doi":"10.22004/ag.econ.34163","title":"Determining Poultry Indemnity Values: Examples and Lessons Learned from Poultry Disease Outbreaks in Canada and the United States","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Indemnity; Government (linguistics); Outbreak; Value (mathematics); Business; Legislation; Influenza A virus subtype H5N1; Actuarial science; Law; Political science; Medicine; Virology","score_opus":0.06201939581842777,"score_gpt":0.22434732878843824,"score_spread":0.16232793297001047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507123548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8938838,0.013544589,0.008621839,0.021086458,0.000099101126,0.00011985417,0.00076206954,0.000055297874,0.061826907],"genre_scores_gemma":[0.98514414,0.0071195792,0.0046506533,0.0005488638,0.000025907468,0.000011699336,0.00030188813,0.00002076186,0.0021765297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997124,0.0010080355,0.000120438504,0.00014817227,0.0010977797,0.000501601],"domain_scores_gemma":[0.97706544,0.011283344,0.0008248813,0.00052038435,0.009823545,0.00048245623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005425731,0.00038466262,0.00050439604,0.0026107882,0.003833261,0.0030975183,0.0013209374,0.0013173824,0.0007323791],"category_scores_gemma":[0.021520693,0.0002146369,0.00029350404,0.0045466037,0.003612191,0.0018719416,0.0012835206,0.0019066192,0.000078647754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003111616,0.00040668438,0.5948532,0.0005218336,0.00019788237,0.0056787515,0.05884385,0.015794387,0.00091050804,0.05928333,0.029652275,0.23354608],"study_design_scores_gemma":[0.00012769505,0.0001493436,0.60719424,0.001298237,0.00021257931,0.0015617305,0.1777098,0.04041309,0.0063503548,0.05482143,0.10986436,0.00029715398],"about_ca_topic_score_codex":0.93808347,"about_ca_topic_score_gemma":0.9648586,"teacher_disagreement_score":0.06191653,"about_ca_system_score_codex":0.02504845,"about_ca_system_score_gemma":0.01274286,"threshold_uncertainty_score":0.18174005},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.017060215217804882,"score_gpt":0.2299358007921751,"score_spread":0.21287558557437022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507309526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965154,0.0006395991,0.000034002707,0.0010803167,0.000004142847,0.000020470918,0.00012707598,0.0000017342378,0.0015772604],"genre_scores_gemma":[0.9977265,0.0011162715,0.00013032625,0.00014228423,0.000007971514,0.000026089698,0.000087412416,0.0000014500006,0.0007616787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963295,0.00019161226,0.000017259534,0.00002124346,0.000029859848,0.00010696588],"domain_scores_gemma":[0.9993223,0.00014400919,0.0003146293,0.000020076188,0.000041386294,0.00015768482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005168496,0.00015163966,0.00012834687,0.0006442374,0.0011493207,0.0007662858,0.00023779484,0.00028358633,0.0030577541],"category_scores_gemma":[0.0010646147,0.00017454551,0.000087707165,0.0018939296,0.0008661622,0.00088952977,0.0009967112,0.00039350975,0.00015756002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016303628,0.00031272633,0.85127795,0.000290771,0.000042719374,0.0042639356,0.082340874,0.00048181598,0.0012557354,0.0034359884,0.0036329636,0.05250143],"study_design_scores_gemma":[0.000022138278,0.00013455149,0.87633795,0.00025216767,0.000019627107,0.0009461998,0.10747248,0.00022836048,0.00014367011,0.0006293391,0.013799325,0.000014159785],"about_ca_topic_score_codex":0.057873286,"about_ca_topic_score_gemma":0.09959398,"teacher_disagreement_score":0.057873286,"about_ca_system_score_codex":0.0016132733,"about_ca_system_score_gemma":0.0014202123,"threshold_uncertainty_score":0.11507285},"labels":[],"label_agreement":null},{"id":"W1508546855","doi":"10.22004/ag.econ.23834","title":"State Trading Enterprises: A Canadian Perspective","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; State (computer science); Perspective (graphical); Politics; Government (linguistics); Ideology; Function (biology); Law and economics; Carry (investment); Economics; Control (management); Political science; International trade; Business; Law; Finance; Management","score_opus":0.018103435070139617,"score_gpt":0.24853743501411413,"score_spread":0.2304339999439745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508546855","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017725375,0.01759177,0.00196115,0.18644121,0.0004647113,0.000040076153,0.00045682586,0.000031376767,0.7752876],"genre_scores_gemma":[0.7812983,0.05122746,0.0037261583,0.033790972,0.00064773526,0.000073916606,0.00033288953,0.000058272828,0.12884429],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9962999,0.00041199964,0.000076200784,0.00035210367,0.0016280224,0.0012316777],"domain_scores_gemma":[0.9970396,0.0006500528,0.00017247433,0.000093770606,0.0015061101,0.00053794065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021056812,0.0005141887,0.0005536713,0.0042475043,0.016372548,0.011676572,0.0017551982,0.0053737275,0.009113297],"category_scores_gemma":[0.004146299,0.00037867978,0.0006093029,0.005019804,0.010444076,0.0051995395,0.002435627,0.005276151,0.0003908631],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000054817283,0.0000060949264,0.00040355258,0.00002059674,0.0000033560948,0.000085858235,0.0010532867,0.0003476431,0.000048368267,0.98566324,0.008755753,0.0036067811],"study_design_scores_gemma":[0.000022334143,0.000019550258,0.006551271,0.0005531231,0.000044396205,0.00018753941,0.008262807,0.0034543455,0.00022251326,0.25824463,0.7223185,0.00011895802],"about_ca_topic_score_codex":0.98782176,"about_ca_topic_score_gemma":0.99037457,"teacher_disagreement_score":0.85176826,"about_ca_system_score_codex":0.14823171,"about_ca_system_score_gemma":0.14069147,"threshold_uncertainty_score":0.9879305},"labels":[],"label_agreement":null},{"id":"W1508552102","doi":"10.22004/ag.econ.46380","title":"Who Owns Carbon? Property Rights Issues in a Market for Greenhouse Gases","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Kyoto Protocol; Property rights; Incentive; Emissions trading; Business; Jurisdiction; Carbon credit; Natural resource economics; Environmental economics; Law and economics; Economics; Public economics; Political science; Market economy; Law; Microeconomics","score_opus":0.06536343751253215,"score_gpt":0.23652342122619566,"score_spread":0.1711599837136635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508552102","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10553726,0.010932949,0.017892338,0.3205699,0.00042573706,0.000119113225,0.00037434453,0.000045555833,0.5441028],"genre_scores_gemma":[0.95746267,0.0042676623,0.0022940147,0.009329623,0.00078099506,0.00004384268,0.000048081783,0.000031585205,0.025741372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99741286,0.0006720595,0.00007786162,0.0003869857,0.0006523876,0.00079777144],"domain_scores_gemma":[0.99430966,0.0037983637,0.0005679118,0.0002760517,0.0006201481,0.00042788606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043300116,0.00024672848,0.00089364365,0.0009870022,0.009235176,0.012950738,0.0014251263,0.009790951,0.013077959],"category_scores_gemma":[0.010315945,0.0003331447,0.0005848932,0.0015562181,0.019861825,0.016458085,0.0019236837,0.0062256805,0.0005339251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010992326,0.000013245108,0.0005103888,0.000014417081,0.000003877405,0.00018398071,0.00069092854,0.0002153512,0.000093566465,0.99087125,0.0034487357,0.0039432477],"study_design_scores_gemma":[0.000027960887,0.000010146511,0.0012230985,0.00007335375,0.000013343865,0.00015747744,0.0025370733,0.0014386143,0.00028985617,0.93523157,0.058968667,0.000028750272],"about_ca_topic_score_codex":0.30387822,"about_ca_topic_score_gemma":0.2821748,"teacher_disagreement_score":0.30387822,"about_ca_system_score_codex":0.016342213,"about_ca_system_score_gemma":0.01239131,"threshold_uncertainty_score":0.6042189},"labels":[],"label_agreement":null},{"id":"W1509126298","doi":"10.22004/ag.econ.56454","title":"Effects of Marketing Loans on U.S. Dry Peas and Lentils: Supply Response and World Trade","year":2008,"lang":"en","type":"book","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; National Agricultural Statistics Service; U.S. Department of Agriculture; Economic Research Service; Farm Service Agency; North Dakota State University","keywords":"Agricultural economics; Business; Export marketing; Agricultural science; Economics; Marketing; Biology","score_opus":0.015058676192402042,"score_gpt":0.17396807712868895,"score_spread":0.15890940093628692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509126298","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95635474,0.0016646321,0.00019222261,0.0037629963,0.00006768162,0.000019968698,0.0027491262,0.000043920394,0.035144676],"genre_scores_gemma":[0.9919897,0.0010066809,0.000088356515,0.00038271636,0.000022409653,0.000010454584,0.0013025405,0.000013683143,0.0051834467],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984837,0.00004187043,0.000008021935,0.000023427563,0.000047834314,0.000030532174],"domain_scores_gemma":[0.9990583,0.0002949603,0.00032850017,0.000027615397,0.00017648615,0.00011418048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055325066,0.00021958939,0.00012887531,0.00042829357,0.0002996912,0.0012963198,0.00019237895,0.0003444814,0.005732127],"category_scores_gemma":[0.0016683287,0.00011549126,0.00028733144,0.00092767086,0.00032006597,0.0009353466,0.0004898025,0.000502596,0.00056566834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003159043,0.000738627,0.68089956,0.00032952736,0.0003246392,0.0020408777,0.0017643906,0.04195448,0.0077063944,0.012201216,0.10201352,0.14686772],"study_design_scores_gemma":[0.00018078291,0.00055389624,0.9075318,0.00012299365,0.00013581372,0.0003051007,0.005731361,0.020898275,0.003409554,0.008720205,0.05234832,0.000061879306],"about_ca_topic_score_codex":0.03185382,"about_ca_topic_score_gemma":0.042807814,"teacher_disagreement_score":0.03185382,"about_ca_system_score_codex":0.0012602846,"about_ca_system_score_gemma":0.00053495157,"threshold_uncertainty_score":0.06333685},"labels":[],"label_agreement":null},{"id":"W1509435337","doi":"10.22004/ag.econ.34187","title":"The Canadian Bioproducts Industry Analysis of the Bioproduct Development Survey - 2004","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bioproducts; Revenue; Agriculture; Business; Marketing; Industrial organization; Biotechnology; Accounting; Biology","score_opus":0.023731634586061246,"score_gpt":0.19571390552408546,"score_spread":0.1719822709380242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509435337","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34048256,0.003206446,0.0011189344,0.0028194762,0.00009000933,0.0005157768,0.6169319,0.000191586,0.034643278],"genre_scores_gemma":[0.6281439,0.0053045778,0.0034281032,0.0008522433,0.00003991118,0.00040891426,0.31609845,0.00005779457,0.045666076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982303,0.00006914287,0.00006658803,0.00012989623,0.0011489673,0.00035514007],"domain_scores_gemma":[0.993233,0.00015407863,0.00053904013,0.00008136257,0.0054104305,0.0005819574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090094015,0.000491426,0.00036120968,0.006761359,0.00189336,0.0011432383,0.0010837462,0.0002542662,0.003675019],"category_scores_gemma":[0.0032399585,0.00034331178,0.00043669765,0.018101703,0.00026164393,0.0003246413,0.00065259135,0.0003469935,0.00066797686],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000219293,0.00009820839,0.7273875,0.0007894164,0.00014621735,0.00020461518,0.0015693962,0.0018612772,0.0011022303,0.002368683,0.20930392,0.054949217],"study_design_scores_gemma":[0.000008897319,0.000017248807,0.9527375,0.000061120154,0.000022992763,0.000029145487,0.0007093315,0.0006440703,0.0003761288,0.000040584386,0.045333993,0.00001895875],"about_ca_topic_score_codex":0.99791855,"about_ca_topic_score_gemma":0.9987913,"teacher_disagreement_score":0.9427811,"about_ca_system_score_codex":0.057218917,"about_ca_system_score_gemma":0.08200823,"threshold_uncertainty_score":0.41515422},"labels":[],"label_agreement":null},{"id":"W1510867039","doi":"10.22004/ag.econ.200169","title":"LA COMPETITIVIDAD EN LA EXPORTACIÓN DE ESPÁRRAGOS SONORENSE HACIA ESTADOS UNIDOS EN EL MARCO DEL TLCAN","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.024425945429612326,"score_gpt":0.23867156333039122,"score_spread":0.2142456179007789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510867039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9153895,0.006910825,0.00065490865,0.00077138515,0.00005902644,0.000023236138,0.0009508436,0.000059016416,0.07518135],"genre_scores_gemma":[0.951167,0.008746976,0.0008703855,0.000100632766,0.00007867946,0.000033106866,0.0014292554,0.000025254418,0.03754872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969554,0.000048513175,0.000014335025,0.00006169379,0.00008352457,0.000096390024],"domain_scores_gemma":[0.9994343,0.00015255749,0.00015474534,0.00003602354,0.00018971607,0.000032612414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009976375,0.0004976388,0.00035983836,0.0012467097,0.0007816826,0.0025673723,0.00029249923,0.00061578135,0.0073963245],"category_scores_gemma":[0.0015183375,0.00014611578,0.00056148117,0.002730881,0.00057275203,0.0009858881,0.0009785527,0.000726822,0.0008694623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022876498,0.0005005393,0.52372026,0.00119808,0.00024834464,0.0031363526,0.019002696,0.0041681645,0.006052591,0.054898508,0.011790194,0.3729966],"study_design_scores_gemma":[0.000066313274,0.00033368127,0.79938304,0.00070617755,0.00026442742,0.0007649959,0.021904157,0.0022081963,0.0026421442,0.0026230412,0.16905625,0.00004759106],"about_ca_topic_score_codex":0.07809181,"about_ca_topic_score_gemma":0.08699675,"teacher_disagreement_score":0.9219082,"about_ca_system_score_codex":0.0026777543,"about_ca_system_score_gemma":0.00088392344,"threshold_uncertainty_score":0.15527451},"labels":[],"label_agreement":null},{"id":"W1511247122","doi":"10.22004/ag.econ.45694","title":"Voluntary Cost-Share Programs: Lessons from Economic Theory and Their Application to Rural Water Quality Programs","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Incentive; Best practice; Externality; Cost sharing; Public economics; Environmental economics; Economics","score_opus":0.040615371742426847,"score_gpt":0.25496725986513136,"score_spread":0.2143518881227045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511247122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05702705,0.010044876,0.5367868,0.07467285,0.00067574537,0.0005967261,0.00024870876,0.00017112898,0.31977603],"genre_scores_gemma":[0.89322114,0.012086841,0.067965105,0.004310746,0.0007058083,0.00076723786,0.0000726072,0.0001283043,0.020742184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974184,0.0013143459,0.000098453136,0.00025960678,0.0005755839,0.00033354393],"domain_scores_gemma":[0.989645,0.008442392,0.0006342219,0.0003713719,0.0006591563,0.00024783853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005022253,0.0010984804,0.0012954541,0.0016287046,0.0018917181,0.004828578,0.0020158726,0.0049763257,0.008738715],"category_scores_gemma":[0.014280335,0.00058666524,0.0013234036,0.0020625119,0.0102835335,0.00795686,0.0030280608,0.0056900145,0.00041289278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010017956,0.00007254368,0.0004383537,0.00005439492,0.000010652745,0.00006413892,0.00013382867,0.02231333,0.0000305507,0.96791136,0.0011565852,0.0078041246],"study_design_scores_gemma":[0.000034887224,0.000029464434,0.00032843585,0.0000666999,0.000007335131,0.000023947814,0.0001751581,0.024750961,0.000065788416,0.9673843,0.00711453,0.00001851165],"about_ca_topic_score_codex":0.019198092,"about_ca_topic_score_gemma":0.012226586,"teacher_disagreement_score":0.019198092,"about_ca_system_score_codex":0.008239268,"about_ca_system_score_gemma":0.0051000193,"threshold_uncertainty_score":0.05978036},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0646843340302616,"score_gpt":0.1942614148326028,"score_spread":0.1295770808023412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512579370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97491664,0.0005805068,0.0001336005,0.00064545125,0.000013737732,0.00006194133,0.019503538,0.00003402752,0.0041105375],"genre_scores_gemma":[0.9903245,0.0005746071,0.00021281675,0.00008866379,0.0000060746747,0.000022945467,0.0060492354,0.0000065897602,0.0027146714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996655,0.000018396508,0.000021178976,0.000044713677,0.00014209423,0.00010808536],"domain_scores_gemma":[0.9985122,0.000100869554,0.0002922306,0.000036013927,0.0006950382,0.00036359666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036294144,0.00030097453,0.0002502397,0.0015089615,0.0017946135,0.0010490123,0.0008043599,0.0003111612,0.0031328052],"category_scores_gemma":[0.0020330902,0.00021132386,0.00037434266,0.004124472,0.0004424017,0.00029134034,0.0005948523,0.0005655276,0.00027220236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068214475,0.00006063217,0.9878049,0.000046164016,0.000038965118,0.00008315389,0.00071083556,0.00034884465,0.00012294999,0.00020643296,0.003101214,0.007407688],"study_design_scores_gemma":[0.000003159592,0.0000101240485,0.99732673,0.000015802407,0.000011321659,0.000027706725,0.0010056775,0.00040293005,0.000040430976,0.000016673135,0.0011332001,0.0000062407735],"about_ca_topic_score_codex":0.99642354,"about_ca_topic_score_gemma":0.99686974,"teacher_disagreement_score":0.018593369,"about_ca_system_score_codex":0.018593369,"about_ca_system_score_gemma":0.015612437,"threshold_uncertainty_score":0.13490498},"labels":[],"label_agreement":null},{"id":"W1513101566","doi":"10.22004/ag.econ.7231","title":"AN ECONOMIC EVALUATION OF THE NEW AGRICULTURAL TRADE NEGOTIATIONS: A NONLINEAR IMPERFECTLY COMPETITIVE SPATIAL EQUILIBRIUM APPROACH","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":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Economics; International economics; International trade; Tariff; Free trade; Trade barrier; Commercial policy; Comparative advantage; Liberalization; Partial equilibrium; Market access; Agriculture; General equilibrium theory; Microeconomics; Market economy","score_opus":0.0805484129295207,"score_gpt":0.24325118967626466,"score_spread":0.16270277674674397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513101566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67145795,0.0004296746,0.20039698,0.002216597,0.00008585153,0.00026998157,0.0011305669,0.0001338232,0.123878546],"genre_scores_gemma":[0.9827481,0.00017310695,0.011990895,0.00006933962,0.000014416206,0.000087894565,0.00016330695,0.00001796598,0.0047349595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987042,0.0008406675,0.00003788253,0.00010758599,0.00019008727,0.00011954517],"domain_scores_gemma":[0.99737835,0.0017231365,0.00026826066,0.00015933011,0.00033987442,0.00013106714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00218052,0.0006869671,0.0009362199,0.0007568568,0.0006803838,0.0026382266,0.0017209935,0.001717732,0.006218716],"category_scores_gemma":[0.006041036,0.0004954795,0.0011600024,0.0009902857,0.0014519043,0.0034301942,0.0014080254,0.0013028019,0.00028494414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019926312,0.000016639739,0.00030409754,0.000011916464,0.000007386094,0.000033767097,0.00001711359,0.97969055,0.0000770732,0.0190691,0.0000909042,0.00066145655],"study_design_scores_gemma":[0.000008879576,0.00002333572,0.0001299145,0.0000028830295,0.0000033461847,0.000005149594,0.000036496822,0.99535805,0.00004113545,0.004074218,0.0003120347,0.000004614693],"about_ca_topic_score_codex":0.02947738,"about_ca_topic_score_gemma":0.015025485,"teacher_disagreement_score":0.02947738,"about_ca_system_score_codex":0.0048947614,"about_ca_system_score_gemma":0.00229919,"threshold_uncertainty_score":0.05861163},"labels":[],"label_agreement":null},{"id":"W1513465443","doi":"10.22004/ag.econ.21311","title":"Total Factor Productivity and Canadian Softwood Lumber Imports","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Softwood; Total factor productivity; Productivity; Agricultural economics; Economics; International trade; Pulp and paper industry; Engineering; Macroeconomics","score_opus":0.01544005847872296,"score_gpt":0.2103366681851856,"score_spread":0.19489660970646264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513465443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88231796,0.0035869882,0.00037356428,0.0027798058,0.00004811603,0.00002018672,0.034349933,0.000088784815,0.07643478],"genre_scores_gemma":[0.9726629,0.0017433121,0.0001667694,0.000108595115,0.000017422873,0.000006833666,0.009338537,0.000024502307,0.015931157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995821,0.00001233424,0.000011200825,0.000057943573,0.00017646808,0.0001599257],"domain_scores_gemma":[0.9979442,0.00021224133,0.00030045392,0.00006256037,0.0012117166,0.0002687376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003357372,0.000285911,0.00025702873,0.0020116358,0.0011115072,0.0019728136,0.00043290542,0.00032453114,0.013581972],"category_scores_gemma":[0.0024072793,0.00016788839,0.00059866795,0.004604248,0.00056661776,0.0004674274,0.0005375376,0.00070029957,0.00070740335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052807305,0.00006577443,0.88870007,0.00016264957,0.00023596098,0.0005366522,0.0014914095,0.006983999,0.00056456483,0.022303345,0.037275027,0.041152462],"study_design_scores_gemma":[0.000016714155,0.000012511711,0.9768702,0.000063262305,0.000075707125,0.000087093424,0.0011002976,0.0024858485,0.0003010312,0.0010511411,0.017906351,0.00002980615],"about_ca_topic_score_codex":0.9933843,"about_ca_topic_score_gemma":0.9942662,"teacher_disagreement_score":0.025767598,"about_ca_system_score_codex":0.025767598,"about_ca_system_score_gemma":0.020163527,"threshold_uncertainty_score":0.18695784},"labels":[],"label_agreement":null},{"id":"W1513823607","doi":"10.22004/ag.econ.9977","title":"A Comparative Analysis of US and Canadian Consumers' Perceptions Towards BSE Testing and the use of GM Organisms in Beef Production: Evidence from a Choice Experiment","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Traceability; Variety (cybernetics); Business; Food safety; Production (economics); Quality (philosophy); Perception; Marketing; Economics; Engineering; Food science; Biology","score_opus":0.3068545932314944,"score_gpt":0.28255037356874546,"score_spread":0.024304219662748927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513823607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982145,0.000040859024,0.00005154947,0.000062106505,0.0000018000065,0.000025801182,0.000073118725,0.0000010933669,0.0015292602],"genre_scores_gemma":[0.99786913,0.00012939,0.000278529,0.00008933024,0.0000025238896,0.000023649014,0.00022331272,0.000001912862,0.001382116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862206,0.00033397033,0.00004340213,0.000118129195,0.0006572783,0.00022515646],"domain_scores_gemma":[0.9946613,0.0026282906,0.0007268901,0.00023434142,0.0012519335,0.000497396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024836808,0.00032237935,0.00028045714,0.0005997579,0.0021983897,0.0014062338,0.00044130342,0.00062594895,0.0027892392],"category_scores_gemma":[0.0061888886,0.00020962549,0.00057971117,0.0011410476,0.0015826487,0.0004030081,0.0005265955,0.0006040294,0.00015964516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012389098,0.0049446654,0.83225596,0.00046142496,0.0004993706,0.00072958483,0.059821174,0.0017933497,0.022471273,0.003578102,0.0040077697,0.057048194],"study_design_scores_gemma":[0.00018689022,0.001684542,0.9611593,0.00005284719,0.00014712755,0.00007614845,0.028289318,0.0020028427,0.0017091933,0.0003870816,0.0041448483,0.0001597682],"about_ca_topic_score_codex":0.91076535,"about_ca_topic_score_gemma":0.9234046,"teacher_disagreement_score":0.08923465,"about_ca_system_score_codex":0.009620295,"about_ca_system_score_gemma":0.0060601346,"threshold_uncertainty_score":0.17952031},"labels":[],"label_agreement":null},{"id":"W1514344128","doi":"10.22004/ag.econ.32845","title":"FUTURE OF NORTH AMERICAN MARKET INTEGRATION: A CANADIAN PERSPECTIVE (PowerPoint Presentation)","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Perspective (graphical); Regional science; Economics; Geography; Computer science; Medicine; Artificial intelligence","score_opus":0.017792324313079377,"score_gpt":0.22429060459210273,"score_spread":0.20649828027902337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514344128","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028035982,0.110882,0.0015421523,0.30087346,0.0028371906,0.000038020513,0.0010769418,0.00011911198,0.5545952],"genre_scores_gemma":[0.64236903,0.17462501,0.0039425762,0.022274006,0.0018632001,0.00008617769,0.00082050497,0.0001056417,0.15391389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975448,0.0002685002,0.00004762113,0.00020743639,0.00075339316,0.0011782865],"domain_scores_gemma":[0.9969199,0.00023236733,0.00016617111,0.0000816107,0.0018464787,0.0007536108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033148937,0.00088300125,0.0008150102,0.0065080114,0.013429632,0.019556256,0.0018006329,0.0036798494,0.026604319],"category_scores_gemma":[0.0040790155,0.00042068746,0.00074951106,0.013196189,0.0076513095,0.007748817,0.0032599322,0.0041790064,0.0013390816],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093254224,0.00007123322,0.0030212686,0.00025528093,0.000034265508,0.00029860894,0.0054667084,0.0014823826,0.00022867613,0.668198,0.21460786,0.10624242],"study_design_scores_gemma":[0.00003078929,0.000020242163,0.022239393,0.0011618484,0.000079639954,0.00021491163,0.019574996,0.0014699528,0.00020331732,0.11660481,0.8382827,0.000117331954],"about_ca_topic_score_codex":0.97566706,"about_ca_topic_score_gemma":0.98320043,"teacher_disagreement_score":0.10705911,"about_ca_system_score_codex":0.10705911,"about_ca_system_score_gemma":0.1125623,"threshold_uncertainty_score":0.7767719},"labels":[],"label_agreement":null},{"id":"W1514442006","doi":"10.22004/ag.econ.51095","title":"Results of a Survey of Graduate Courses in Applied Welfare Economics","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Welfare; Economics","score_opus":0.09538930266594495,"score_gpt":0.291144637914614,"score_spread":0.19575533524866903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514442006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905281,0.00021406934,0.00022726318,0.0005350909,0.000023737712,0.00008306059,0.004438893,0.000015134538,0.003934609],"genre_scores_gemma":[0.9798645,0.00067164825,0.00040403815,0.0010128847,0.00006424899,0.00033666572,0.0057522557,0.000024877862,0.011868984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985776,0.00040448556,0.00014194717,0.00020570337,0.00035454927,0.00031579394],"domain_scores_gemma":[0.9914351,0.0023659328,0.0014900933,0.000459936,0.002063799,0.002185078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022315884,0.00024092983,0.0004069832,0.0022058298,0.000584461,0.000694277,0.0002994844,0.0006984204,0.006084626],"category_scores_gemma":[0.0065718694,0.00020268447,0.00030590195,0.0024279994,0.0003383447,0.0005443941,0.0009047437,0.0005912472,0.0028456254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007890698,0.0003436423,0.9773681,0.000059917274,0.000017116794,0.00005183124,0.0032066181,0.00004411371,0.0005586911,0.00016558765,0.0049306923,0.013174822],"study_design_scores_gemma":[0.0000037365346,0.000083865954,0.9938684,0.00001033518,0.0000032865046,0.000033024542,0.002456332,0.000035231365,0.00006925797,0.000024868634,0.0034088294,0.0000028805218],"about_ca_topic_score_codex":0.005054154,"about_ca_topic_score_gemma":0.008041848,"teacher_disagreement_score":0.006084626,"about_ca_system_score_codex":0.00056086626,"about_ca_system_score_gemma":0.0010804983,"threshold_uncertainty_score":0.020355105},"labels":[],"label_agreement":null},{"id":"W1515762551","doi":"10.22004/ag.econ.127996","title":"Scénarios de réforme de politique laitière : impact sur le secteur laitier au niveau mondial","year":2001,"lang":"fr","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02439846811659533,"score_gpt":0.23325389124484142,"score_spread":0.2088554231282461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515762551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7823104,0.006108746,0.006410889,0.017588869,0.00019872769,0.00027696992,0.0009630701,0.000120381985,0.18602191],"genre_scores_gemma":[0.9913446,0.0008247746,0.0011599471,0.0004843477,0.000021387985,0.000075350064,0.00011581847,0.000008839759,0.0059650056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99624866,0.0023166442,0.000065155116,0.00020974345,0.00032098382,0.0008387513],"domain_scores_gemma":[0.9960334,0.0018219156,0.0005433996,0.0002563379,0.0006063798,0.0007385105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042915503,0.00056894234,0.00044227915,0.00071686134,0.0017995276,0.004336187,0.0010149325,0.002133521,0.013947524],"category_scores_gemma":[0.0068977503,0.00027173667,0.0010153784,0.0012564468,0.0016740733,0.002158157,0.0027908445,0.0017013459,0.0004964437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025972137,0.0007365536,0.06468077,0.0011624745,0.0005586543,0.0014948562,0.007558814,0.09156736,0.0053117783,0.7473605,0.010128594,0.06684238],"study_design_scores_gemma":[0.0015259483,0.0042406498,0.28224266,0.0019601565,0.0011056005,0.00091514905,0.035198025,0.08571623,0.0066594635,0.3009381,0.27916485,0.00033321942],"about_ca_topic_score_codex":0.03640852,"about_ca_topic_score_gemma":0.040187582,"teacher_disagreement_score":0.03640852,"about_ca_system_score_codex":0.008368518,"about_ca_system_score_gemma":0.0043385345,"threshold_uncertainty_score":0.07239318},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0316102910534551,"score_gpt":0.18894654555042198,"score_spread":0.15733625449696687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515981955","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028245114,0.02369961,0.00092942634,0.7446958,0.0026060925,0.000091678296,0.0013891951,0.00008337388,0.22368042],"genre_scores_gemma":[0.23618464,0.084895715,0.017738832,0.28024718,0.0024825053,0.00045855972,0.003288357,0.00030614296,0.37439808],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98868483,0.0010509664,0.00019650662,0.00061915664,0.005872927,0.0035756598],"domain_scores_gemma":[0.9901219,0.0013946391,0.00025754693,0.0002523575,0.0052501764,0.0027233323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008172172,0.0008290262,0.0007953645,0.0029872141,0.020053826,0.0156049915,0.0034345489,0.010479909,0.020730415],"category_scores_gemma":[0.015384384,0.00067805673,0.00076664885,0.0063682636,0.0058662947,0.004988176,0.004292023,0.0071863406,0.0014461935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026567042,0.000021709626,0.00078930653,0.00022311322,0.00001715065,0.00011763297,0.0010823384,0.00052685814,0.00014365952,0.41134587,0.5467897,0.0389161],"study_design_scores_gemma":[0.000012144207,0.0000050982194,0.0021960938,0.0002605871,0.000008366619,0.00002454419,0.0016320108,0.00025286636,0.000052069627,0.027508706,0.9680127,0.00003482071],"about_ca_topic_score_codex":0.9910748,"about_ca_topic_score_gemma":0.9952376,"teacher_disagreement_score":0.1484798,"about_ca_system_score_codex":0.1484798,"about_ca_system_score_gemma":0.40022382,"threshold_uncertainty_score":0.9876427},"labels":[],"label_agreement":null},{"id":"W1518803210","doi":"10.22004/ag.econ.94295","title":"Structural Change in Canadian Agriculture and the Impacts on Canadian Farm Income and Farm Households","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural economics; Farm income; Business; Farm workers; Economics; Geography","score_opus":0.02935319828361953,"score_gpt":0.21682962108758913,"score_spread":0.1874764228039696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518803210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8988115,0.0077751754,0.0005045061,0.02534238,0.00017154303,0.00004977687,0.01368224,0.00004338702,0.053619463],"genre_scores_gemma":[0.9866259,0.003553845,0.0001896891,0.00039321271,0.000027457663,0.0000078743105,0.0014060348,0.000008645212,0.007787373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990563,0.000057793586,0.000020722819,0.00007306323,0.00027427537,0.0005179183],"domain_scores_gemma":[0.99810046,0.00019410426,0.00019648671,0.00004935364,0.0011022585,0.00035746003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072112354,0.00028486835,0.00035630495,0.001585959,0.0034146882,0.002516312,0.00086859905,0.00078838493,0.009113478],"category_scores_gemma":[0.0038761254,0.00018783234,0.00059180846,0.0055210846,0.0011718693,0.0006854417,0.0009872678,0.0010291502,0.0002369972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006006261,0.00020382226,0.74022436,0.00035766736,0.00031982095,0.000542967,0.004666751,0.015820742,0.0008499733,0.096666574,0.052995242,0.08675151],"study_design_scores_gemma":[0.000027318958,0.00002531844,0.9539348,0.00011427723,0.00012093574,0.00004938085,0.005352,0.0038573183,0.00027635726,0.0041953754,0.031998165,0.000048648668],"about_ca_topic_score_codex":0.9988237,"about_ca_topic_score_gemma":0.9992304,"teacher_disagreement_score":0.09225947,"about_ca_system_score_codex":0.09225947,"about_ca_system_score_gemma":0.07923015,"threshold_uncertainty_score":0.6693924},"labels":[],"label_agreement":null},{"id":"W1520262974","doi":"10.22004/ag.econ.274022","title":"The Impact of Commodity Price Volatility on Resource Intensive Economies","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Volatility (finance); Monetary economics; Profitability index; Per capita; Econometrics; Finance","score_opus":0.04759995427927255,"score_gpt":0.24533294343862572,"score_spread":0.19773298915935317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520262974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98569506,0.0005164647,0.0021287445,0.0009198575,0.00001302163,0.0000056551544,0.00022255002,0.00002713964,0.01047144],"genre_scores_gemma":[0.9993861,0.00029763655,0.00007022216,0.000019618998,0.0000065925947,0.0000011118873,0.000036029356,0.0000025161387,0.00018029513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975806,0.00007066058,0.000012866518,0.00003252648,0.00006349759,0.0000623898],"domain_scores_gemma":[0.99859124,0.00071876514,0.00046274078,0.00007793726,0.000066426044,0.00008288754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045504599,0.00023257747,0.0002817841,0.00037897372,0.00030952945,0.0017410426,0.00018258236,0.0005029018,0.0010060726],"category_scores_gemma":[0.0032627038,0.0001782295,0.0003008176,0.000794342,0.0009161474,0.0011546715,0.00086380827,0.00059574796,0.000080190104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029630403,0.00016594559,0.3029368,0.00012850507,0.00025593844,0.002005602,0.00039293125,0.51053876,0.005308737,0.14151894,0.0024744563,0.033977095],"study_design_scores_gemma":[0.000044570923,0.00023171445,0.41398814,0.000054058215,0.00014857172,0.000624839,0.0010289098,0.32309029,0.0039115543,0.2509374,0.0058206003,0.000119301185],"about_ca_topic_score_codex":0.010125206,"about_ca_topic_score_gemma":0.008573265,"teacher_disagreement_score":0.010125206,"about_ca_system_score_codex":0.0011098577,"about_ca_system_score_gemma":0.0005917825,"threshold_uncertainty_score":0.020132542},"labels":[],"label_agreement":null},{"id":"W1520714278","doi":"10.22004/ag.econ.53101","title":"Overview of Farms Participating in the Canadian Agricultural Income Stabilization (CAIS) Program, 2004","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Census; Business; Product (mathematics); Agricultural science; Agribusiness; Agricultural economics; Geography; Economics; Environmental science","score_opus":0.08406387198218788,"score_gpt":0.27375657691096517,"score_spread":0.18969270492877727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520714278","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2169517,0.009405709,0.0014979393,0.0073518693,0.00026400076,0.0014915589,0.5544045,0.0015749449,0.2070578],"genre_scores_gemma":[0.38395172,0.019038253,0.011911448,0.002169816,0.00018606341,0.0013678356,0.32744524,0.00034438132,0.25358525],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9985506,0.000069942325,0.00007078804,0.00014453159,0.0007532377,0.0004108003],"domain_scores_gemma":[0.9968195,0.0001916206,0.00032524715,0.000075210875,0.0020143017,0.000574114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007933291,0.00037829747,0.00031081965,0.0076574557,0.0031013654,0.0012600836,0.0009336282,0.0002825503,0.022859795],"category_scores_gemma":[0.001615185,0.0002925893,0.00019145942,0.012664407,0.00028062562,0.0004822235,0.00075158454,0.00029590944,0.0027030136],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019537077,0.000115882474,0.11268094,0.0008884793,0.000028069006,0.00026544096,0.0020448894,0.00040447654,0.0015783729,0.0017851499,0.624395,0.25561798],"study_design_scores_gemma":[0.000012153032,0.000030419356,0.4113605,0.000121321595,0.000015713655,0.00011686326,0.0031587193,0.00022254843,0.00031409692,0.000100970385,0.58451957,0.00002710445],"about_ca_topic_score_codex":0.94589275,"about_ca_topic_score_gemma":0.9731007,"teacher_disagreement_score":0.05410725,"about_ca_system_score_codex":0.01883973,"about_ca_system_score_gemma":0.03673069,"threshold_uncertainty_score":0.13669246},"labels":[],"label_agreement":null},{"id":"W1521279337","doi":"10.22004/ag.econ.50892","title":"EFFECTIVENESS OF BYLAWS IN THE MANAGEMENT OF NATURAL RESOURCES: The West African Experience","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"African history and culture studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Fund for Agricultural Development; Consortium of International Agricultural Research Centers; World Bank Group; World Agroforestry Centre; International Development Research Centre; International Fine Particle Research Institute","keywords":"Decentralization; Negotiation; Delegation; Public administration; Enforcement; Natural resource; Context (archaeology); Political science; Language change; Natural resource management; Law enforcement; Business; Economic growth; Law; Geography; Economics","score_opus":0.03218139752670407,"score_gpt":0.27320154101816263,"score_spread":0.24102014349145856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521279337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370413,0.0044227922,0.001571908,0.010141605,0.00011703043,0.000074917974,0.0000152011135,0.000010912373,0.046604376],"genre_scores_gemma":[0.9927689,0.0023294038,0.00030513445,0.0005745121,0.000016360582,0.000023855822,0.0000035470623,0.00001133018,0.003966966],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99353975,0.004527694,0.0001768165,0.00023636439,0.0004291532,0.0010902509],"domain_scores_gemma":[0.9933715,0.004666967,0.000851644,0.00022562574,0.00034576867,0.00053848786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0097934855,0.00038925713,0.0005426826,0.0012018123,0.018158212,0.0048993924,0.0008879374,0.0018071831,0.0042494168],"category_scores_gemma":[0.01023387,0.00062468013,0.00017051211,0.0021490606,0.0138835,0.007744946,0.0043358803,0.0035768747,0.00028863203],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031304095,0.00006400473,0.0026627684,0.0001887452,0.0000066535627,0.0024943452,0.92673624,0.000072786286,0.0011226983,0.04890062,0.001382876,0.016336998],"study_design_scores_gemma":[0.0000092599885,0.000084525986,0.0059514157,0.0006245821,0.00001362855,0.00092379824,0.8669791,0.00018320997,0.0010140841,0.004652245,0.119537994,0.000026202315],"about_ca_topic_score_codex":0.022702083,"about_ca_topic_score_gemma":0.039106835,"teacher_disagreement_score":0.022702083,"about_ca_system_score_codex":0.0057291165,"about_ca_system_score_gemma":0.0045302184,"threshold_uncertainty_score":0.051793516},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.04522587652624978,"score_gpt":0.2615272616197676,"score_spread":0.21630138509351782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521545449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9186734,0.0054692724,0.00260185,0.0014010292,0.00014500348,0.0008568625,0.0027704304,0.00020069955,0.06788149],"genre_scores_gemma":[0.9939955,0.001979279,0.001510043,0.00010662843,0.00004981609,0.00015758346,0.0006930076,0.000015640342,0.0014926917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98737854,0.004228682,0.0006495923,0.0004859567,0.005694477,0.0015627304],"domain_scores_gemma":[0.9756816,0.009259996,0.005376465,0.0012117397,0.0068799816,0.0015902004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009336332,0.0010373994,0.0008056432,0.0057329745,0.0011378478,0.004101908,0.0016187823,0.00062492903,0.002468637],"category_scores_gemma":[0.014563131,0.00021621211,0.0014224153,0.010270308,0.0020701303,0.002186063,0.003134642,0.0012223456,0.00049144845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015416065,0.0021808215,0.5362195,0.0035098733,0.0013071459,0.00074150757,0.0031634832,0.03753076,0.0019072614,0.0140070785,0.007978589,0.38991243],"study_design_scores_gemma":[0.00005886825,0.0069272756,0.94391495,0.0005994257,0.0008372856,0.00048009373,0.013911735,0.010785959,0.00232032,0.0033254726,0.016649095,0.00018950998],"about_ca_topic_score_codex":0.024594909,"about_ca_topic_score_gemma":0.033477895,"teacher_disagreement_score":0.024594909,"about_ca_system_score_codex":0.0073946654,"about_ca_system_score_gemma":0.005297503,"threshold_uncertainty_score":0.053652346},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.08671140652609147,"score_gpt":0.23621639750598883,"score_spread":0.14950499097989736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522809984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576626,0.002152969,0.0005444469,0.01716243,0.000091268,0.000020620637,0.00053640926,0.000027238508,0.021802034],"genre_scores_gemma":[0.99643207,0.0009963411,0.00005668192,0.00047786327,0.00004791353,0.0000071650716,0.00015803258,0.00000600888,0.0018178625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976844,0.00003563315,0.000005423485,0.000028042334,0.000038342416,0.00012400783],"domain_scores_gemma":[0.99910945,0.00016637416,0.00038692154,0.000030856532,0.00008980692,0.0002165409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089475204,0.00027780494,0.0005605788,0.0005400206,0.0008896747,0.003588356,0.0006022422,0.0014713366,0.0059650596],"category_scores_gemma":[0.0023842223,0.00015632482,0.00040935358,0.0012367518,0.0012855356,0.0023579248,0.0008186853,0.00135992,0.00024555178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006605373,0.00061731116,0.5677186,0.0004139805,0.0003085715,0.0047747735,0.0016092476,0.09909956,0.0027541525,0.21190853,0.03789035,0.072244406],"study_design_scores_gemma":[0.00018873121,0.00029305703,0.71837693,0.00028917167,0.00027148047,0.00034684408,0.006101424,0.16334577,0.0013463382,0.08336038,0.025971055,0.000108930995],"about_ca_topic_score_codex":0.08937868,"about_ca_topic_score_gemma":0.07481884,"teacher_disagreement_score":0.08937868,"about_ca_system_score_codex":0.003749321,"about_ca_system_score_gemma":0.003468938,"threshold_uncertainty_score":0.17771691},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0331218969993812,"score_gpt":0.20901967724520237,"score_spread":0.17589778024582117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524241467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990208,0.0002582157,0.000041945594,0.000050525257,9.2508475e-7,0.0000064709343,0.0003182089,0.0000014449048,0.00030142648],"genre_scores_gemma":[0.9992737,0.0002502625,0.00004497061,0.000008092266,0.0000015048513,0.000004367366,0.0001530647,8.456495e-7,0.00026308425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985325,0.000052864914,0.00000983006,0.000025261204,0.000020796071,0.00003807252],"domain_scores_gemma":[0.9993338,0.00013280216,0.0003517537,0.000015809703,0.000058364592,0.000107341344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016446561,0.00014621865,0.00010089625,0.00048519883,0.0002492903,0.00030532593,0.0001630517,0.0002024946,0.0019127385],"category_scores_gemma":[0.0007716605,0.000116677205,0.000071137205,0.0017153821,0.00035502005,0.0003469058,0.00027189657,0.00013002612,0.00026812294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019575046,0.00010515386,0.9844587,0.000056794674,0.000017372466,0.0010156408,0.0020784854,0.00018649058,0.0018203116,0.00014617082,0.0003165394,0.009602561],"study_design_scores_gemma":[0.0000030454216,0.000092586604,0.99543935,0.000010748313,0.0000034725188,0.00024648375,0.0033699127,0.00009419794,0.000101360885,0.00006352179,0.0005724299,0.0000030002263],"about_ca_topic_score_codex":0.021190567,"about_ca_topic_score_gemma":0.04546675,"teacher_disagreement_score":0.021190567,"about_ca_system_score_codex":0.0008963293,"about_ca_system_score_gemma":0.00036445004,"threshold_uncertainty_score":0.042134404},"labels":[],"label_agreement":null},{"id":"W1524264576","doi":"10.22004/ag.econ.91403","title":"'Pocket and Pot': Hypothetical Bias in a No-Free-Riding Public Contribution Game","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Public good; Free riding; Public goods game; Economics; Sample (material); Investment (military); Dictatorship; Service (business); Microeconomics; Private good; Public economics; Political science","score_opus":0.11367876986588714,"score_gpt":0.3208513001625058,"score_spread":0.20717253029661864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524264576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9345871,0.00006792129,0.045127027,0.0020684728,0.000046270172,0.00025462193,0.000100865574,0.000075363634,0.017672263],"genre_scores_gemma":[0.9905501,0.000030778185,0.007039616,0.00022785374,0.000007118674,0.00007518062,0.000021436857,0.000007870702,0.0020400956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949098,0.0037239937,0.00016524813,0.00029093036,0.00064290984,0.0002671082],"domain_scores_gemma":[0.9770288,0.01798765,0.0021395788,0.0014552784,0.00049378374,0.00089485955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071734344,0.0004003339,0.00072069,0.0003241814,0.0005275365,0.0013675856,0.0006694264,0.0013188991,0.0031336304],"category_scores_gemma":[0.040122125,0.00023862177,0.0003161396,0.00023116656,0.0024421099,0.0018466761,0.00093485706,0.00127013,0.00029087267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01110313,0.0017655309,0.07565963,0.0005487816,0.0004118646,0.0017582066,0.010305266,0.06458632,0.040454704,0.67228746,0.0070220227,0.11409717],"study_design_scores_gemma":[0.0015138504,0.0027151902,0.048202526,0.00014568036,0.00018947535,0.0008371094,0.0029089083,0.39978942,0.00995383,0.52219206,0.01129697,0.00025503602],"about_ca_topic_score_codex":0.0024647699,"about_ca_topic_score_gemma":0.0029782944,"teacher_disagreement_score":0.0071734344,"about_ca_system_score_codex":0.0013822365,"about_ca_system_score_gemma":0.0010102253,"threshold_uncertainty_score":0.037937224},"labels":[],"label_agreement":null},{"id":"W1525295885","doi":"10.22004/ag.econ.125983","title":"Global Effects of US “New Economy” Shocks: the Role of Capital-Skill Complementarity","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Complementarity (molecular biology); Shock (circulatory); Monetary economics; Investment (military); Capital deepening; Stock (firearms); Exchange rate; Labour economics; Human capital; Capital formation; Financial capital; Market economy","score_opus":0.01842238230708916,"score_gpt":0.20126233203595356,"score_spread":0.18283994972886441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525295885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92318946,0.0040045585,0.007599389,0.004676591,0.0001681818,0.00002701211,0.0015792394,0.00013101484,0.058624595],"genre_scores_gemma":[0.99630284,0.0014015806,0.0004100785,0.00034431185,0.000032078744,0.0000052282885,0.0003124298,0.000016051059,0.0011755071],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981695,0.000036464877,0.000010718854,0.000040576135,0.000029882094,0.000065398905],"domain_scores_gemma":[0.9993166,0.00018850817,0.00024536724,0.000052288848,0.00009863628,0.00009855419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044936858,0.0004238807,0.0004318618,0.0009912839,0.00036941547,0.0020899375,0.00018883597,0.000563196,0.003965156],"category_scores_gemma":[0.00162222,0.00019736051,0.000626088,0.0016712148,0.0009518185,0.0015121497,0.0019257034,0.00076948246,0.0001684361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009324051,0.0002110233,0.33303928,0.0004823453,0.0010992307,0.0029122592,0.00089706766,0.27371886,0.0049492847,0.2602457,0.012989058,0.10852353],"study_design_scores_gemma":[0.00011729893,0.0003766726,0.6723404,0.0002597984,0.0010135367,0.00083841797,0.002371284,0.08993786,0.005158558,0.18649985,0.040924296,0.0001620772],"about_ca_topic_score_codex":0.015135532,"about_ca_topic_score_gemma":0.016379293,"teacher_disagreement_score":0.015135532,"about_ca_system_score_codex":0.001380659,"about_ca_system_score_gemma":0.0004886623,"threshold_uncertainty_score":0.030094862},"labels":[],"label_agreement":null},{"id":"W1525794343","doi":"10.22004/ag.econ.102067","title":"Technical Efficiency, Environment Efficiency, Productivity and Beneficial Management Practices","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Profitability index; Production (economics); Index (typography); Econometrics; Agricultural productivity; Environmental science; Environmental economics; Agriculture; Agricultural engineering; Statistics; Economics; Computer science; Mathematics; Engineering; Geography; Microeconomics","score_opus":0.10227368797863695,"score_gpt":0.3296699413549886,"score_spread":0.22739625337635166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525794343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754655,0.00020296172,0.017067995,0.00007967068,0.0000026311877,0.00010522097,0.0014533981,0.000036285248,0.00558644],"genre_scores_gemma":[0.9941665,0.000059964448,0.0039556823,0.000006221224,0.0000022551685,0.00004906638,0.00069937104,0.0000059376125,0.0010549315],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772555,0.0006750062,0.00015009318,0.000300788,0.00083176576,0.0003168283],"domain_scores_gemma":[0.98938656,0.007139398,0.0018331661,0.000671354,0.0007600799,0.00020949544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044965567,0.0005354114,0.0006689114,0.002439741,0.0002534834,0.0013409819,0.0005806941,0.00054271106,0.0023527674],"category_scores_gemma":[0.013156663,0.00015641666,0.0008003913,0.0031449324,0.0011192524,0.0007519804,0.000497164,0.00044006438,0.00028525974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000219257,0.00030578062,0.790156,0.00017904228,0.0005788699,0.00016986777,0.00032736652,0.15374556,0.0019055618,0.0100554675,0.00053293427,0.041824386],"study_design_scores_gemma":[0.000016882965,0.00016166267,0.89539117,0.000022724233,0.000086116794,0.00005170722,0.0003250516,0.097696885,0.0010666777,0.0035403895,0.0016133784,0.00002749651],"about_ca_topic_score_codex":0.05557665,"about_ca_topic_score_gemma":0.058060803,"teacher_disagreement_score":0.05557665,"about_ca_system_score_codex":0.005081517,"about_ca_system_score_gemma":0.0020167304,"threshold_uncertainty_score":0.110506296},"labels":[],"label_agreement":null},{"id":"W1526197734","doi":"10.22004/ag.econ.6840","title":"Strategic Planning - Niche Marketing in the Agriculture Industry","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marketing; Business; Flexibility (engineering); Adaptability; Value (mathematics); Adaptation (eye); Strategic planning; Niche; Resource (disambiguation); Agriculture; Value chain; Process (computing); Critical success factor; Strategic management; Industrial organization; Supply chain; Economics; Geography; Management; Ecology; Computer science","score_opus":0.07337356735756398,"score_gpt":0.24411422264256577,"score_spread":0.1707406552850018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526197734","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47474703,0.0055617727,0.015637748,0.011254522,0.00006557186,0.0003453179,0.000073449744,0.000060376933,0.49225432],"genre_scores_gemma":[0.99234205,0.0011951939,0.0017165985,0.00013692124,0.0000072765943,0.000022483366,0.000012229812,0.0000030557126,0.0045640804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888664,0.00057910406,0.000028132143,0.00007660007,0.00019314104,0.00023637182],"domain_scores_gemma":[0.9976248,0.0013145132,0.00044426764,0.00005765137,0.00016304213,0.00039563866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014477533,0.0002541128,0.00013217008,0.00111876,0.0018957611,0.004570902,0.000380742,0.0009953433,0.008748191],"category_scores_gemma":[0.002172424,0.00015261678,0.00018633838,0.0028821332,0.005151403,0.0026823324,0.0016133931,0.0011533739,0.00044785556],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017072185,0.00033095627,0.0519212,0.0010292694,0.000026999445,0.0037054634,0.03650182,0.016205743,0.0029149188,0.6363248,0.0062047555,0.24466325],"study_design_scores_gemma":[0.000049505066,0.00034085213,0.15979838,0.0016294818,0.00002945392,0.0018411984,0.19221437,0.026533177,0.0013912662,0.3905183,0.22556752,0.00008656824],"about_ca_topic_score_codex":0.03640306,"about_ca_topic_score_gemma":0.057239413,"teacher_disagreement_score":0.03640306,"about_ca_system_score_codex":0.009877989,"about_ca_system_score_gemma":0.010787279,"threshold_uncertainty_score":0.07238233},"labels":[],"label_agreement":null},{"id":"W1527480753","doi":"10.22004/ag.econ.18618","title":"MODELING WORLD PEANUT PRODUCT MARKETS: A TOOL FOR AGRICULTURAL TRADE POLICY ANALYSIS","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":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Iowa State University","keywords":"Partial equilibrium; Agriculture; Agricultural economics; Economics; Revenue; Baseline (sea); Product (mathematics); Welfare; Liberalization; Livestock; Free trade; Consumption (sociology); China; Computable general equilibrium; International trade; General equilibrium theory; Geography; Forestry; Market economy; Macroeconomics","score_opus":0.06428152188211386,"score_gpt":0.21933926262173128,"score_spread":0.15505774073961742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527480753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13057087,0.0009474086,0.8171553,0.0028812855,0.00014750639,0.00016627127,0.0036704608,0.00054261234,0.0439183],"genre_scores_gemma":[0.82647026,0.0016804937,0.15312679,0.00024041985,0.0001305376,0.0005926125,0.0016733467,0.0002230901,0.01586253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997265,0.00015840649,0.000011854704,0.000038696096,0.00003566749,0.00002894541],"domain_scores_gemma":[0.9988944,0.000796026,0.00013932964,0.000050502393,0.00006414224,0.000055653276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092760543,0.00071763265,0.00079442677,0.0008146588,0.0005517322,0.0015451837,0.0012003285,0.0015617298,0.0060483906],"category_scores_gemma":[0.0031464698,0.00058792304,0.00096832507,0.0015695803,0.0006142418,0.0020259453,0.0011196448,0.0013485459,0.00046506675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008239217,0.000011568795,0.0003357695,0.0000135665405,0.000014659865,0.000029122304,0.000017092321,0.9795673,0.00007076521,0.018186955,0.00038255658,0.0013624015],"study_design_scores_gemma":[0.0000092543105,0.00000796249,0.00013389334,0.0000050155136,0.0000061202963,0.000008212277,0.000023423778,0.9835117,0.000041390853,0.014434173,0.0018136763,0.000005182076],"about_ca_topic_score_codex":0.017173868,"about_ca_topic_score_gemma":0.014823359,"teacher_disagreement_score":0.017173868,"about_ca_system_score_codex":0.0015149984,"about_ca_system_score_gemma":0.0012025269,"threshold_uncertainty_score":0.0341478},"labels":[],"label_agreement":null},{"id":"W1527676339","doi":"10.22004/ag.econ.16938","title":"U.S. SECTION 301 INVESTIGATION OF CANADIAN WHEAT TRADING PRACTICES","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ninth; Section (typography); Misinformation; Subject (documents); Political science; Economics; Economic history; Business; Law; Advertising; Computer science; Library science; Physics","score_opus":0.07825741788998544,"score_gpt":0.23148853653062024,"score_spread":0.1532311186406348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527676339","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09140019,0.004104671,0.0008429297,0.013757109,0.00045629515,0.0006610366,0.3815884,0.00042961506,0.50675976],"genre_scores_gemma":[0.24614893,0.004044128,0.0022919402,0.005732365,0.000109609726,0.00036057,0.067367546,0.00014418442,0.6738007],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981229,0.000050695544,0.00005731102,0.000117543,0.0011629214,0.00048850355],"domain_scores_gemma":[0.9927719,0.00059528794,0.00034642647,0.0002467748,0.005580282,0.00045931528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011125443,0.00046536163,0.00027416906,0.00471909,0.0051690424,0.0019852407,0.0010080227,0.0013240643,0.02060625],"category_scores_gemma":[0.0037581262,0.000349358,0.00036844527,0.009294834,0.0003822906,0.0003940302,0.0005741272,0.0007924289,0.0025372657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002401934,0.000101556776,0.060431458,0.00033543908,0.00006118957,0.00036795935,0.0011878135,0.00059319433,0.0016194034,0.02216206,0.8770688,0.03583086],"study_design_scores_gemma":[0.000035952027,0.000035854446,0.37789232,0.00013018088,0.00005940271,0.00007361178,0.000979664,0.00074547384,0.0015061421,0.0006074982,0.6178821,0.000051780302],"about_ca_topic_score_codex":0.9949409,"about_ca_topic_score_gemma":0.99719775,"teacher_disagreement_score":0.0426502,"about_ca_system_score_codex":0.0426502,"about_ca_system_score_gemma":0.06597366,"threshold_uncertainty_score":0.30945033},"labels":[],"label_agreement":null},{"id":"W1528306727","doi":"10.22004/ag.econ.273686","title":"Wages And Seniority When Coworkers Matter: Estimating A Joint Production Economy Using Norwegian Administrative Data","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Seniority; Norwegian; Economics; Bargaining power; Production (economics); Labour economics; Workforce; Joint (building); Power (physics); Econometrics; Microeconomics; Engineering; Economic growth","score_opus":0.1130060957506117,"score_gpt":0.274840746105698,"score_spread":0.16183465035508626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528306727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95626837,0.00041494804,0.038569726,0.0005206454,0.00003502669,0.00008876178,0.0018904837,0.000048721,0.0021634283],"genre_scores_gemma":[0.9893594,0.00015692251,0.0072138254,0.000039842875,0.000022281343,0.00006456538,0.0016550937,0.000013223586,0.0014748715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597883,0.002266437,0.00018013992,0.000729969,0.00028121402,0.00056337204],"domain_scores_gemma":[0.9860676,0.009582634,0.0023749815,0.00093227444,0.00049916765,0.00054351037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009153607,0.00069537095,0.001444643,0.0015347309,0.0009558826,0.0024868774,0.0013375144,0.0013939742,0.0032504422],"category_scores_gemma":[0.019210188,0.0010237698,0.0013541979,0.0020578543,0.001203106,0.0016057144,0.0013928032,0.0012142331,0.0006264649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004992787,0.0005360764,0.64902604,0.00008058992,0.00037681984,0.00059206825,0.0017785837,0.291728,0.00044143104,0.027691586,0.0024187376,0.024830824],"study_design_scores_gemma":[0.00017592224,0.00026833214,0.22813316,0.00009857299,0.00016819788,0.00012614703,0.0018050076,0.7353785,0.0004135831,0.028891813,0.0044373972,0.00010332746],"about_ca_topic_score_codex":0.18717691,"about_ca_topic_score_gemma":0.10713718,"teacher_disagreement_score":0.18717691,"about_ca_system_score_codex":0.0025541296,"about_ca_system_score_gemma":0.0020415937,"threshold_uncertainty_score":0.37217486},"labels":[],"label_agreement":null},{"id":"W1528476704","doi":"10.22004/ag.econ.31084","title":"OPTIMAL ADVERTISING WITH TRADED RAW AND FINAL GOODS: THE CASE OF VARIABLE PROPORTIONS TECHNOLOGY","year":2002,"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":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Economics; Investment (military); Variable (mathematics); Elasticity of substitution; Elasticity (physics); Microeconomics; Production (economics); Raw material; Econometrics; Business; Industrial organization; Advertising; Mathematics","score_opus":0.031032388432194472,"score_gpt":0.1870836378096028,"score_spread":0.15605124937740833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528476704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5860089,0.0017090804,0.31827426,0.0019151748,0.00008705497,0.00021278075,0.00037558808,0.00020183252,0.09121529],"genre_scores_gemma":[0.9655614,0.00059373,0.020895224,0.0000991081,0.00002895692,0.000040366976,0.000068107554,0.000042604483,0.012670554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994217,0.0001554679,0.000029102635,0.000088339475,0.00010639324,0.00019899578],"domain_scores_gemma":[0.997591,0.0016039879,0.00031764896,0.00012223738,0.00022753737,0.0001376065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011728426,0.00062854704,0.0009802426,0.0006190741,0.00037389647,0.0023879213,0.0009838215,0.0014564465,0.0043741385],"category_scores_gemma":[0.0063208994,0.00058602565,0.00091135374,0.00054077955,0.001503525,0.002182378,0.0008137213,0.000999027,0.0005578123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017110357,0.000109900604,0.0012069868,0.000116237796,0.000028463492,0.00031623116,0.00010094206,0.7041868,0.003438294,0.27258286,0.0018540015,0.015888214],"study_design_scores_gemma":[0.00008277208,0.000089729474,0.00077582477,0.000026437712,0.000029904277,0.00011363428,0.000095922376,0.8901007,0.0015678504,0.10544002,0.0016438195,0.000033447377],"about_ca_topic_score_codex":0.008347513,"about_ca_topic_score_gemma":0.0056522195,"teacher_disagreement_score":0.008347513,"about_ca_system_score_codex":0.0025121134,"about_ca_system_score_gemma":0.0011289971,"threshold_uncertainty_score":0.018226743},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Poultry farming; Agricultural science; Agricultural economics; Business; Geography; Economics; Environmental science; Forestry","score_opus":0.05760128321250841,"score_gpt":0.22325311409440493,"score_spread":0.16565183088189653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528655083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588794,0.00034212906,0.026626622,0.0006229632,0.000023791485,0.00011505815,0.0013524357,0.00005932223,0.011978398],"genre_scores_gemma":[0.9925257,0.00023326385,0.0017506767,0.000035216566,0.000007955359,0.000031524338,0.0004657025,0.0000075687844,0.0049423943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994567,0.00023293175,0.000034607554,0.00008631529,0.000067640925,0.000121773526],"domain_scores_gemma":[0.9981055,0.0011850902,0.00033825575,0.00009114994,0.00019366517,0.00008625715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015831159,0.00036882938,0.0004062682,0.000687099,0.00033187796,0.0017655225,0.0004409397,0.0005784908,0.0072797467],"category_scores_gemma":[0.0041435314,0.00044044608,0.00065028796,0.0010884217,0.0004306244,0.0015426684,0.00083458476,0.0008214348,0.00043768744],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002076149,0.00019143206,0.16385391,0.0000628055,0.00023421508,0.00059727154,0.00018062374,0.7497204,0.0016127232,0.0683964,0.0012205058,0.0137220565],"study_design_scores_gemma":[0.000041840285,0.00016331344,0.061869763,0.000019003925,0.00012845492,0.0001730562,0.0003926459,0.91539466,0.0006362878,0.018573964,0.0025788608,0.000028159468],"about_ca_topic_score_codex":0.023493234,"about_ca_topic_score_gemma":0.02263091,"teacher_disagreement_score":0.023493234,"about_ca_system_score_codex":0.0019680078,"about_ca_system_score_gemma":0.0013091629,"threshold_uncertainty_score":0.046712995},"labels":[],"label_agreement":null},{"id":"W1529441814","doi":"10.22004/ag.econ.21083","title":"Food Insecurity, Food Storage, and Obesity","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Overweight; Food security; Food insecurity; Obesity; Environmental health; Variance (accounting); Economics; Food intake; Medicine; Geography; Agriculture","score_opus":0.17053600599911736,"score_gpt":0.3830533144587158,"score_spread":0.21251730845959846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529441814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97368705,0.00077503925,0.0031620453,0.0029592216,0.000021939535,0.00002237283,0.00028387012,0.000019333249,0.019069055],"genre_scores_gemma":[0.9971046,0.00044478718,0.00033697847,0.000042963027,0.000011226103,0.0000065171525,0.00004775088,0.0000015713813,0.0020037293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991024,0.000027255113,0.0000036134734,0.000009532727,0.000017973569,0.000031345207],"domain_scores_gemma":[0.9994716,0.00019029847,0.00015908359,0.00002324593,0.000025005855,0.00013080744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027202387,0.0001773069,0.00015139839,0.00046489498,0.00029491243,0.00084530987,0.00015798108,0.00058601476,0.007912336],"category_scores_gemma":[0.0015233118,0.00016490593,0.00018805564,0.00042418286,0.0006550664,0.00047792602,0.00064776797,0.00035357356,0.00025553774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024040294,0.0005499536,0.8539099,0.000077497,0.00012990627,0.00068273314,0.00043934237,0.022041412,0.00093907147,0.08707784,0.0032223973,0.030689484],"study_design_scores_gemma":[0.00005494352,0.00025439594,0.8531745,0.00011891876,0.00007458329,0.0010029987,0.001361449,0.05974438,0.0002647538,0.07895122,0.004970558,0.000027283448],"about_ca_topic_score_codex":0.007486389,"about_ca_topic_score_gemma":0.008795955,"teacher_disagreement_score":0.007912336,"about_ca_system_score_codex":0.0005256753,"about_ca_system_score_gemma":0.0005209551,"threshold_uncertainty_score":0.02646941},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cyclospora; Outbreak; Environmental health; Geography; Publicity; Food safety; Disease control; Medicine; Business; Ecology; Biology; Virology","score_opus":0.05736238556258817,"score_gpt":0.2441748890713632,"score_spread":0.18681250350877504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531355746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.910183,0.0060674893,0.003113202,0.019798473,0.00088146125,0.0006897202,0.0007140834,0.00012606329,0.058426403],"genre_scores_gemma":[0.98344743,0.0028853577,0.0018633286,0.005101143,0.0004828829,0.00007433856,0.00021176359,0.000030691135,0.0059030307],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.9992694,0.00015979519,0.0000559422,0.00013826694,0.00013399324,0.00024256331],"domain_scores_gemma":[0.9993493,0.00012558924,0.00012530595,0.000033500313,0.00009427187,0.00027210134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023212864,0.0012315044,0.000428276,0.0011849637,0.0055968314,0.0010455283,0.0010968163,0.0037482402,0.00401375],"category_scores_gemma":[0.0021131076,0.0004155649,0.0005708478,0.0014105191,0.001121585,0.0011787169,0.001676766,0.0027377687,0.00077498873],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006420232,0.00027280822,0.019689623,0.00013752817,0.000020718746,0.9645305,0.0034326052,0.00018986815,0.0009346868,0.0014653675,0.004996753,0.0042652884],"study_design_scores_gemma":[0.000018049293,0.00019978205,0.014939829,0.00017161708,0.000034400127,0.9642909,0.0043179044,0.00056479115,0.00078708486,0.00089735107,0.013753434,0.000024763616],"about_ca_topic_score_codex":0.029194877,"about_ca_topic_score_gemma":0.06395594,"teacher_disagreement_score":0.029194877,"about_ca_system_score_codex":0.002827883,"about_ca_system_score_gemma":0.0015121426,"threshold_uncertainty_score":0.058049917},"labels":[],"label_agreement":null},{"id":"W1532486526","doi":"10.22004/ag.econ.204218","title":"VIABILIDAD ECONÓMICA Y FINANCIERA DE UNA MICROEMPRESA DE MIEL DE AGUAMIEL EN MICHOACÁN, MÉXICO","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural and Food Production Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Competition (biology); Agricultural science; Business; Economics; Economy; Agricultural economics; Political science","score_opus":0.013169909608987214,"score_gpt":0.20153457619163437,"score_spread":0.18836466658264717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532486526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954932,0.00032200527,0.0000724875,0.00023375989,0.0000034837628,0.000018786313,0.00010289561,0.0000031515613,0.003750291],"genre_scores_gemma":[0.99534976,0.0005367325,0.00019203272,0.000022160717,0.0000085258835,0.000019666551,0.00016530593,7.939449e-7,0.0037048548],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998795,0.00003522431,0.000004227092,0.00001309017,0.000032298252,0.000035662706],"domain_scores_gemma":[0.99969983,0.00006689478,0.000115958566,0.0000103214625,0.00006011922,0.0000469851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045049182,0.00013949315,0.000060511247,0.00045699233,0.0003597526,0.00071523077,0.00020680604,0.00018080522,0.002163311],"category_scores_gemma":[0.00068013644,0.000056016284,0.00006865424,0.00029113598,0.00019465438,0.00025049443,0.00040486222,0.00017193561,0.00010565904],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011846664,0.0004952217,0.90017873,0.00017731763,0.00006739468,0.0018252371,0.002308141,0.0028088547,0.004307163,0.006841585,0.0040325955,0.075773135],"study_design_scores_gemma":[0.00007394784,0.00041117746,0.9600571,0.00006372916,0.00006043251,0.0002595681,0.0044590496,0.0031344532,0.0008307642,0.000369366,0.030271161,0.000009363617],"about_ca_topic_score_codex":0.07011282,"about_ca_topic_score_gemma":0.113072254,"teacher_disagreement_score":0.07011282,"about_ca_system_score_codex":0.0020455148,"about_ca_system_score_gemma":0.0010549442,"threshold_uncertainty_score":0.13940942},"labels":[],"label_agreement":null},{"id":"W1532773388","doi":"10.22004/ag.econ.56180","title":"Operational guidelines for assessing the impact of agricultural research on livelihoods. Good practices from CIMMYT","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Fund for Agricultural Development; Consortium of International Agricultural Research Centers; Overseas Development Institute; International Development Research Centre; World Bank Group; Department for International Development; International Fine Particle Research Institute","keywords":"Livelihood; Agriculture; Business; Environmental planning; Natural resource economics; Environmental resource management; Agricultural economics; Geography; Environmental science; Economics","score_opus":0.4075923398272492,"score_gpt":0.466592824598504,"score_spread":0.0590004847712548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532773388","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02636063,0.011701223,0.6922361,0.013029418,0.0011972275,0.013070678,0.051432468,0.0072105443,0.18376172],"genre_scores_gemma":[0.063285075,0.0027642706,0.9092725,0.0011012803,0.00014012883,0.007074437,0.010993371,0.00065769925,0.0047111935],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.94475496,0.024999477,0.010822162,0.0018864056,0.01591484,0.0016222356],"domain_scores_gemma":[0.8385057,0.08857203,0.015217868,0.011206745,0.042656384,0.003841377],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06332922,0.0023930045,0.0017730218,0.022973197,0.0014566261,0.010797359,0.003923543,0.0032133851,0.017459286],"category_scores_gemma":[0.1677557,0.0010660448,0.0022051213,0.018647159,0.00351852,0.00577846,0.005257549,0.0033139312,0.004830581],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056854,0.0005738791,0.028534997,0.006493981,0.0005401361,0.00047990406,0.0046585305,0.014402042,0.0037112592,0.21990074,0.20383336,0.51630265],"study_design_scores_gemma":[0.00039574038,0.0010186407,0.07909348,0.008378151,0.0005941883,0.0008270858,0.009684056,0.023705427,0.009023267,0.26476866,0.6021361,0.00037523764],"about_ca_topic_score_codex":0.017242778,"about_ca_topic_score_gemma":0.015403342,"teacher_disagreement_score":0.9366708,"about_ca_system_score_codex":0.006085941,"about_ca_system_score_gemma":0.009697543,"threshold_uncertainty_score":0.33492094},"labels":[],"label_agreement":null},{"id":"W1536074818","doi":"10.22004/ag.econ.120264","title":"Les benefices et les couts economiques de l'exploitation des gaz de shale au Quebec","year":2012,"lang":"fr","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shale gas; Political science; Geology; Oil shale","score_opus":0.038830812583230685,"score_gpt":0.2439812370390809,"score_spread":0.20515042445585022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536074818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7505479,0.009959153,0.009579656,0.014861342,0.000055267126,0.00009997434,0.00186391,0.000068913025,0.21296391],"genre_scores_gemma":[0.9676435,0.0034051707,0.0015388598,0.00019415062,0.000010400308,0.000020399879,0.00019462594,0.000009738139,0.026983192],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992994,0.00016279674,0.000013494374,0.000036717,0.00025061404,0.00023699757],"domain_scores_gemma":[0.9990792,0.00026106279,0.00008807034,0.000034680335,0.0004405565,0.00009648313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060717075,0.00028659357,0.0001528358,0.0008551376,0.0014024997,0.0021562858,0.00035647955,0.0005390368,0.0066521605],"category_scores_gemma":[0.0016280256,0.000102632555,0.000317788,0.0014521581,0.0011127897,0.0007611347,0.0006544726,0.00049780105,0.00024766958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001227492,0.00020076455,0.20288974,0.0010996134,0.00039141442,0.0027708905,0.004465902,0.06395005,0.02851269,0.29172876,0.013163127,0.3895995],"study_design_scores_gemma":[0.00008528408,0.00040562474,0.6038149,0.0012296072,0.0003581562,0.0007659276,0.014890505,0.019326784,0.01770052,0.03456091,0.30665556,0.0002062186],"about_ca_topic_score_codex":0.8421598,"about_ca_topic_score_gemma":0.9373801,"teacher_disagreement_score":0.15784019,"about_ca_system_score_codex":0.02098805,"about_ca_system_score_gemma":0.011860853,"threshold_uncertainty_score":0.31753945},"labels":[],"label_agreement":null},{"id":"W1536309028","doi":"10.22004/ag.econ.10249","title":"An Economic Evaluation of Beneficial Management Practices for Crop Nutrients in Canadian Agriculture","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Business; Agriculture; Nutrient management; Revenue; Agricultural science; Tillage; Prosperity; Agricultural economics; Environmental science; Economics; Agronomy; Geography; Economic growth; Finance","score_opus":0.05066222549365129,"score_gpt":0.28853797926326985,"score_spread":0.23787575376961856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536309028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98540545,0.0003623771,0.0005557357,0.00029650208,0.0000070618003,0.0002727346,0.0007325687,0.000010196697,0.012357453],"genre_scores_gemma":[0.99669456,0.00034400533,0.0013955948,0.000028712187,0.0000031779116,0.00004620715,0.00029865536,0.0000027455806,0.0011862126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99559695,0.0011803609,0.00013259132,0.00019758193,0.0021975366,0.0006949534],"domain_scores_gemma":[0.9953945,0.0015553609,0.00059323234,0.00021569729,0.001868334,0.00037284152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044093933,0.00050789694,0.00037412217,0.0014916295,0.0017616348,0.001337052,0.0009348704,0.00038091172,0.0013594915],"category_scores_gemma":[0.011330926,0.00017513132,0.0006147054,0.0022524742,0.00095154287,0.00070951827,0.0007153773,0.0004510786,0.00006669636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071822936,0.0030852768,0.42120236,0.0012567986,0.0006983193,0.00070946873,0.0013082877,0.23467544,0.011352266,0.024691455,0.0049256077,0.28891245],"study_design_scores_gemma":[0.00031561783,0.004352505,0.8775892,0.00013608241,0.00060194015,0.00010649882,0.0035861745,0.09183654,0.004990576,0.002659182,0.013674778,0.00015084974],"about_ca_topic_score_codex":0.91544104,"about_ca_topic_score_gemma":0.9577421,"teacher_disagreement_score":0.084558964,"about_ca_system_score_codex":0.06606299,"about_ca_system_score_gemma":0.03825262,"threshold_uncertainty_score":0.4793228},"labels":[],"label_agreement":null},{"id":"W1537571225","doi":"10.22004/ag.econ.274618","title":"How Targeted is Targeted Tax Relief? Evidence from the Unemployment Insurance Youth Hires Program","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University","keywords":"Subsidy; Unemployment; Earnings; Youth unemployment; Economics; Demographic economics; Labour economics; Displaced workers; Displacement (psychology); Economic growth; Finance; Psychology","score_opus":0.06091672299873959,"score_gpt":0.24222313845914661,"score_spread":0.18130641546040702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537571225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9543773,0.0058536944,0.00045441292,0.011820638,0.000093331684,0.000059135888,0.0023286974,0.000014074257,0.024998805],"genre_scores_gemma":[0.9938444,0.002650389,0.00008258783,0.0013378815,0.000085274085,0.00002119292,0.0005881393,0.0000077185305,0.0013824431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976562,0.0011107534,0.000098418874,0.00026438443,0.00048740744,0.00038279497],"domain_scores_gemma":[0.9874752,0.005801696,0.0045430935,0.00049114,0.00082804036,0.00086072163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028142945,0.0001436141,0.00041412975,0.00071624055,0.0006368321,0.0013528777,0.0007968955,0.00083160267,0.0054590493],"category_scores_gemma":[0.016518204,0.00016079431,0.00037271014,0.0011255377,0.00077594793,0.0012725409,0.0020387862,0.001238913,0.00064635515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037491054,0.0023057656,0.714649,0.0011613965,0.0010061224,0.00059019966,0.006846296,0.0017916524,0.0007226183,0.017805928,0.030799327,0.21857263],"study_design_scores_gemma":[0.00031225345,0.00057685195,0.9607107,0.0008977586,0.0004705529,0.00012231787,0.006311201,0.0009859559,0.00066891755,0.0031260012,0.025791775,0.000025710546],"about_ca_topic_score_codex":0.023836931,"about_ca_topic_score_gemma":0.027008496,"teacher_disagreement_score":0.023836931,"about_ca_system_score_codex":0.000887728,"about_ca_system_score_gemma":0.00083131593,"threshold_uncertainty_score":0.04739636},"labels":[],"label_agreement":null},{"id":"W1538017102","doi":"10.22004/ag.econ.51913","title":"Cairo Evaluation Clinic: Thoughts on Randomized Trials for Evaluation of Development","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Randomized controlled trial; Psychological intervention; Reliability (semiconductor); Psychology; Randomized experiment; Applied psychology; Medicine; Nursing","score_opus":0.6333388631677977,"score_gpt":0.5610317717884596,"score_spread":0.0723070913793381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538017102","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":"methods","domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035422476,0.07280319,0.097588636,0.8003752,0.016542425,0.002252437,0.00019027162,0.0004772893,0.009416398],"genre_scores_gemma":[0.024680058,0.030727996,0.33927274,0.5553253,0.027547421,0.016184408,0.00011585832,0.0007103446,0.0054359343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.34507233,0.5801498,0.0351014,0.0072760554,0.030237034,0.0021633846],"domain_scores_gemma":[0.17656384,0.7685004,0.016471772,0.013044659,0.021743504,0.0036758725],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.57183725,0.002506841,0.0058253948,0.009099808,0.006576101,0.021536665,0.009622012,0.03409686,0.008803458],"category_scores_gemma":[0.6481854,0.003113395,0.005105277,0.006696551,0.03568723,0.020438815,0.009794868,0.044727605,0.002308389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072322163,0.00012837969,0.00048764187,0.00812165,0.00062480534,0.00040367598,0.005687754,0.0012608988,0.00023447369,0.4555627,0.39598894,0.13077581],"study_design_scores_gemma":[0.0018002354,0.00039519777,0.00037976378,0.018307067,0.00037571453,0.0004815454,0.002058628,0.0019126707,0.0003958896,0.2957423,0.67782015,0.00033083223],"about_ca_topic_score_codex":0.0065258774,"about_ca_topic_score_gemma":0.0055696764,"teacher_disagreement_score":0.57183725,"about_ca_system_score_codex":0.021679351,"about_ca_system_score_gemma":0.027038053,"threshold_uncertainty_score":0.52800095},"labels":[],"label_agreement":null},{"id":"W1538904618","doi":"10.22004/ag.econ.46357","title":"Using Biotechnology to Lower Production Costs of Biofuels in Canada: Will it Hinder the Growth of an Export Industry?","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biofuel; Biosafety; Production (economics); International trade; Business; Energy security; Natural resource economics; Biotechnology; Industrial organization; Economics; Agricultural economics; Commerce; Engineering; Renewable energy","score_opus":0.040455374057552854,"score_gpt":0.23051791909428984,"score_spread":0.19006254503673697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538904618","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3365842,0.024901241,0.0035049524,0.38835123,0.0011430783,0.00016134416,0.0014797881,0.00016437928,0.24370973],"genre_scores_gemma":[0.82549554,0.028992036,0.0084686335,0.026973352,0.00013750812,0.00005385779,0.0008210426,0.00006338426,0.10899466],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989029,0.0000684532,0.000027374112,0.00008416266,0.00059290277,0.00032420427],"domain_scores_gemma":[0.9984465,0.00013769744,0.000108923494,0.00003014496,0.00090138,0.00037539503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012548784,0.0002272006,0.00020634927,0.0006325931,0.0055886344,0.0033050615,0.00079672504,0.0014902956,0.0050407844],"category_scores_gemma":[0.0026812383,0.00014776658,0.00028496614,0.0011557422,0.0018983245,0.0016005299,0.00067651016,0.0014421687,0.00037586442],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007578877,0.00035672486,0.08446934,0.0011678489,0.00008746588,0.0023775569,0.0060502673,0.0031487823,0.045392156,0.237664,0.19528729,0.42324072],"study_design_scores_gemma":[0.00013153368,0.0002592658,0.10700351,0.0006154753,0.0001612293,0.0005227891,0.011792335,0.003168822,0.02279213,0.015302277,0.83806765,0.00018302265],"about_ca_topic_score_codex":0.9859319,"about_ca_topic_score_gemma":0.99388534,"teacher_disagreement_score":0.07242309,"about_ca_system_score_codex":0.07242309,"about_ca_system_score_gemma":0.16502254,"threshold_uncertainty_score":0.52546877},"labels":[],"label_agreement":null},{"id":"W1539415850","doi":"10.22004/ag.econ.18111","title":"PRICE DISCOVERY MECHANISMS AND ALTERNATIVES FOR CANADIAN AGRICULTURE; Part III: Applying Pricing Mechanisms","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Context (archaeology); Agriculture; Computer science; Industrial organization; Economics; Microeconomics; Ecology; Biology","score_opus":0.02543931088037381,"score_gpt":0.20385436386909658,"score_spread":0.1784150529887228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539415850","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11215374,0.0112712,0.15270711,0.03935209,0.00061979954,0.0018910292,0.0009996644,0.00052191556,0.6804834],"genre_scores_gemma":[0.8629471,0.005765717,0.094411075,0.0017471961,0.00016195756,0.00044474765,0.00017305721,0.00005300757,0.034296114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9905772,0.001889203,0.00034783638,0.0006324376,0.0050756903,0.0014775771],"domain_scores_gemma":[0.99357843,0.0022749589,0.0007148144,0.0008199163,0.0021261922,0.00048572227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006758769,0.00074142497,0.00055633567,0.005389557,0.007160517,0.0117608225,0.0034400208,0.0049506957,0.008019945],"category_scores_gemma":[0.012829944,0.00040921997,0.0013043706,0.007184058,0.007683073,0.0053056283,0.0031608786,0.0027185408,0.00036957941],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019214745,0.000029594215,0.0011333815,0.00013016352,0.000009631459,0.00010323379,0.0005170244,0.004164484,0.00035491222,0.9617807,0.0027030117,0.029054748],"study_design_scores_gemma":[0.0001177866,0.0001550223,0.011810444,0.0005805699,0.0000981131,0.0004714493,0.0037131377,0.037325297,0.0020016953,0.6006596,0.34278268,0.00028419658],"about_ca_topic_score_codex":0.65580595,"about_ca_topic_score_gemma":0.7309389,"teacher_disagreement_score":0.34419405,"about_ca_system_score_codex":0.057827275,"about_ca_system_score_gemma":0.05754844,"threshold_uncertainty_score":0.6924422},"labels":[],"label_agreement":null},{"id":"W1539516070","doi":"10.22004/ag.econ.103824","title":"Economic Analysis of Marker-Assisted Selection in Canola","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Canola; Selection (genetic algorithm); Marker-assisted selection; Chemistry; Computer science; Artificial intelligence; Genetic marker; Biochemistry; Food science","score_opus":0.017225895591890632,"score_gpt":0.23944187752563315,"score_spread":0.2222159819337425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539516070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.916131,0.0009095837,0.07478127,0.00060655084,0.000021934948,0.00006764834,0.00029811548,0.000116492025,0.0070672766],"genre_scores_gemma":[0.9841786,0.00019919475,0.012908055,0.00003810384,0.000016906319,0.000035302524,0.00021742277,0.000035034445,0.0023714346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999154,0.00047608852,0.000024210787,0.00007504713,0.00018046827,0.000090298905],"domain_scores_gemma":[0.9910687,0.007946413,0.00025760743,0.0002619933,0.0003056076,0.00015961655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030068576,0.00030240085,0.00057227706,0.0013315185,0.0004138103,0.00079935807,0.00091169286,0.0003604364,0.0026372871],"category_scores_gemma":[0.011100536,0.00021188777,0.0004062988,0.0013078986,0.0006201681,0.000620784,0.00050930673,0.00045646468,0.000091671194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018698678,0.00036209202,0.058696114,0.00024088094,0.00026556838,0.000614829,0.00016286079,0.6383874,0.016294368,0.16411158,0.002232944,0.11676151],"study_design_scores_gemma":[0.000046781606,0.00012553457,0.020214075,0.000010546344,0.00006268746,0.00006904372,0.00005455701,0.9543204,0.002020116,0.021777224,0.0012802962,0.000018799925],"about_ca_topic_score_codex":0.005475885,"about_ca_topic_score_gemma":0.0059081973,"teacher_disagreement_score":0.005475885,"about_ca_system_score_codex":0.0018568434,"about_ca_system_score_gemma":0.0009519291,"threshold_uncertainty_score":0.015901983},"labels":[],"label_agreement":null},{"id":"W1539774986","doi":"10.22004/ag.econ.102490","title":"Consequences of BSE disease outbreaks in the Canadian beef industry","year":2011,"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":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Beef industry; Disease; Geography; Business; Agricultural economics; Medicine; Economics; Virology","score_opus":0.06888872672966487,"score_gpt":0.20110343594663233,"score_spread":0.13221470921696746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539774986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917624,0.0003113998,0.0001068553,0.00055914005,0.000008477762,0.000016163445,0.0005241051,0.00001133214,0.006700016],"genre_scores_gemma":[0.99856657,0.00024828388,0.00007333856,0.00007001825,0.0000043121677,0.0000021184512,0.00026776953,0.0000018113818,0.00076572265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986778,0.000096515665,0.00003596244,0.00008633163,0.0006412879,0.00046201595],"domain_scores_gemma":[0.9972932,0.00036832428,0.0007753422,0.00008332964,0.0009997188,0.00048008084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068881613,0.00028898945,0.00025494906,0.0011696868,0.002061064,0.0016948906,0.0005073916,0.0005921772,0.00296655],"category_scores_gemma":[0.0055525177,0.00017933139,0.00028809014,0.001482906,0.0009434799,0.00048843457,0.0009419077,0.00090394454,0.00018175348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008292168,0.00025529694,0.92884547,0.00007095854,0.00016456838,0.0021903967,0.0016950686,0.015294731,0.0049564927,0.0022877285,0.0041992157,0.039210778],"study_design_scores_gemma":[0.000011723443,0.0000806485,0.9925464,0.0000110222445,0.000024069883,0.00010189143,0.0027389037,0.0023034492,0.00034733012,0.00028463203,0.0015284619,0.00002149174],"about_ca_topic_score_codex":0.9434001,"about_ca_topic_score_gemma":0.96045035,"teacher_disagreement_score":0.056599915,"about_ca_system_score_codex":0.016179167,"about_ca_system_score_gemma":0.008065047,"threshold_uncertainty_score":0.117388606},"labels":[],"label_agreement":null},{"id":"W1539852974","doi":"10.22004/ag.econ.23929","title":"The Prophecies of the Naysayers - Assessing the Vision of the Protectionists in the U.S.-Canada Debate on Agricultural Reciprocity, 1846-1854: Technical Annex","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reciprocity (cultural anthropology); Agriculture; Economics; Political science; Sociology; Social science; Geography; Archaeology","score_opus":0.02204416155242999,"score_gpt":0.23362300335920494,"score_spread":0.21157884180677494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539852974","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16162336,0.021465255,0.0022876747,0.27199116,0.0014808229,0.00018315924,0.003107947,0.000049827668,0.53781086],"genre_scores_gemma":[0.93822145,0.005571494,0.0017839792,0.0065967995,0.0001925206,0.000064111955,0.00033991353,0.00005415569,0.04717556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9867421,0.002702054,0.00023392435,0.00070686144,0.0069886753,0.0026263942],"domain_scores_gemma":[0.98871124,0.0037023649,0.0006495244,0.00032876545,0.005425326,0.0011827212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016866937,0.00035149607,0.00035673133,0.0031567223,0.017939685,0.010845184,0.0011181969,0.0035326653,0.005924884],"category_scores_gemma":[0.0249809,0.00034224923,0.0003083213,0.005594475,0.014842326,0.0039532697,0.0037651276,0.0038561802,0.0003860943],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008493816,0.000013716091,0.009973784,0.00015820652,0.000021597547,0.00015878497,0.111926354,0.0002930677,0.0003386531,0.7078701,0.13718712,0.03197358],"study_design_scores_gemma":[0.000022208917,0.000024053881,0.056864925,0.0008434789,0.000042598702,0.000117737756,0.112333834,0.00037817986,0.0011135705,0.040906146,0.78722817,0.00012501377],"about_ca_topic_score_codex":0.9576866,"about_ca_topic_score_gemma":0.9787411,"teacher_disagreement_score":0.0950851,"about_ca_system_score_codex":0.0950851,"about_ca_system_score_gemma":0.13397752,"threshold_uncertainty_score":0.6898939},"labels":[],"label_agreement":null},{"id":"W1540878306","doi":"10.22004/ag.econ.124653","title":"Complementarities in Production Technologies: An Empirical Analysis of the Dairy Industry","year":2012,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Profitability index; Marginal product; Complementarity (molecular biology); Productivity; Production (economics); Economics; Profit (economics); Milk production; Dairy industry; Marginal cost; Econometrics; Microeconomics; Agricultural science; Animal science","score_opus":0.07691451632011301,"score_gpt":0.25613207877223654,"score_spread":0.17921756245212353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540878306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949905,0.00034391572,0.0020970162,0.00010012192,0.000002199281,0.0000482264,0.00012994173,0.00001100039,0.0022770504],"genre_scores_gemma":[0.998216,0.00018071044,0.00085553905,0.00002408503,0.000008219854,0.000019491876,0.00024402086,0.0000031100778,0.0004488021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965096,0.0012402534,0.00020137416,0.0004907963,0.0009960224,0.00056186307],"domain_scores_gemma":[0.9461191,0.041080117,0.008495122,0.0021575687,0.001169395,0.0009786361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048186625,0.0005213738,0.0010592167,0.004739276,0.0011348007,0.0027818335,0.00095697335,0.0012808943,0.004523854],"category_scores_gemma":[0.022906628,0.00046915177,0.0014270847,0.0051938086,0.0018944291,0.00261515,0.0025066074,0.0016658138,0.0003821864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008478316,0.0009231192,0.91359806,0.0002270715,0.0009068972,0.000984705,0.00090751576,0.03486152,0.002040652,0.012695789,0.00035780962,0.031649053],"study_design_scores_gemma":[0.00012366143,0.0009408147,0.8892377,0.00011820455,0.00046689683,0.00059593277,0.0032159935,0.08761144,0.0013918509,0.012388737,0.003815679,0.00009312413],"about_ca_topic_score_codex":0.014034545,"about_ca_topic_score_gemma":0.009387224,"teacher_disagreement_score":0.014034545,"about_ca_system_score_codex":0.0024948213,"about_ca_system_score_gemma":0.0015614667,"threshold_uncertainty_score":0.027905703},"labels":[],"label_agreement":null},{"id":"W1540943113","doi":"10.22004/ag.econ.61050","title":"The Development of Group Farming in Post-War Japanese Agriculture","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Crisis of the 21st Century","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agriculture; Industrialisation; Government (linguistics); World War II; Business; Economic growth; Agricultural economics; Economy; Political science; Geography; Economics; Market economy; Law","score_opus":0.023670911886424704,"score_gpt":0.200312352775605,"score_spread":0.1766414408891803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540943113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99033314,0.00082147226,0.00010602999,0.0006768653,0.00001006567,0.000009451801,0.000042106694,0.0000015068592,0.007999405],"genre_scores_gemma":[0.9982181,0.0005542089,0.000048392994,0.000068047884,0.00000997324,0.0000044203803,0.0000317104,6.137415e-7,0.0010645328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995652,0.00008925919,0.000018365055,0.000037452744,0.00005183296,0.00023794961],"domain_scores_gemma":[0.99881387,0.00013371214,0.0005805112,0.00003150397,0.00013022899,0.0003101917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000559577,0.00015137355,0.00018228107,0.00092139497,0.0017391151,0.0018425479,0.00021691911,0.0006645135,0.001996366],"category_scores_gemma":[0.001119639,0.00012596643,0.00010134676,0.0015847597,0.0016834169,0.0014795399,0.001581707,0.00061539176,0.00014367916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039618323,0.0003382042,0.8733361,0.00019503055,0.00003752726,0.0042941724,0.048865028,0.0008813527,0.0020488324,0.022107203,0.0034471815,0.044053238],"study_design_scores_gemma":[0.0000073897922,0.000075387165,0.9501855,0.000027982991,0.000009869369,0.00021500314,0.040236756,0.00031875717,0.00012915509,0.0014158752,0.0073679364,0.000010345604],"about_ca_topic_score_codex":0.0313159,"about_ca_topic_score_gemma":0.053426825,"teacher_disagreement_score":0.0313159,"about_ca_system_score_codex":0.0021717586,"about_ca_system_score_gemma":0.0009983168,"threshold_uncertainty_score":0.062267244},"labels":[],"label_agreement":null},{"id":"W1541086539","doi":"10.22004/ag.econ.16619","title":"INNOVATION IN THE CANADIAN AGRI-FOOD SECTOR","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food sector; Presentation (obstetrics); Innovation process; Business; Agribusiness; Food industry; Marketing; Process (computing); Regional science; Industrial organization; Agricultural economics; Geography; Political science; Economics; Agriculture; Computer science; Work in process; Medicine","score_opus":0.0756852424781196,"score_gpt":0.21354174445460242,"score_spread":0.1378565019764828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541086539","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2564679,0.019636348,0.00462801,0.058227237,0.0003677909,0.00020777828,0.0014566974,0.00014969363,0.6588585],"genre_scores_gemma":[0.93128043,0.012019312,0.002747079,0.00085929775,0.000049310525,0.00003635899,0.00035950702,0.000017009601,0.05263169],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.996539,0.00028552226,0.00005257604,0.00020190027,0.0017997045,0.001121273],"domain_scores_gemma":[0.9976973,0.00040235868,0.00013656527,0.00006514428,0.0013566939,0.00034198788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998151,0.00031532327,0.0002890911,0.002775436,0.0065228264,0.004683269,0.00061596395,0.0013329161,0.007145079],"category_scores_gemma":[0.0048271553,0.00017112339,0.00039861206,0.006035851,0.0029848318,0.0015209682,0.0015257893,0.0008325133,0.00035666753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007786287,0.000036844587,0.011608993,0.00038445482,0.00001963587,0.00044570665,0.0050090817,0.0062770164,0.0008776234,0.82112324,0.036823936,0.11731575],"study_design_scores_gemma":[0.000050197457,0.000062928346,0.09748982,0.00059307506,0.00006072376,0.00026944067,0.010986115,0.013700471,0.0018205136,0.10200336,0.77280104,0.00016234627],"about_ca_topic_score_codex":0.9886996,"about_ca_topic_score_gemma":0.98820937,"teacher_disagreement_score":0.13665995,"about_ca_system_score_codex":0.13665995,"about_ca_system_score_gemma":0.12822342,"threshold_uncertainty_score":0.991542},"labels":[],"label_agreement":null},{"id":"W1541613214","doi":"10.22004/ag.econ.273437","title":"Privacy and Endogenous Monitoring Choice When Private Information is a Public Good","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Inefficiency; Government (linguistics); Private information retrieval; Pareto principle; Population; Revelation; Public economics; Business; Economics; Public choice; Politics; Microeconomics; Law and economics; Computer security; Law; Political science; Computer science","score_opus":0.1177400041033312,"score_gpt":0.2223849554959029,"score_spread":0.1046449513925717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541613214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71751827,0.0019181556,0.17285775,0.018504476,0.0001046345,0.00015315828,0.00046535698,0.00011748675,0.08836076],"genre_scores_gemma":[0.99136305,0.0005818095,0.0035372311,0.00025836038,0.000052296982,0.000036844012,0.000032401527,0.00001290866,0.0041250433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943749,0.0032471046,0.00021416455,0.0006235677,0.000503625,0.0010365951],"domain_scores_gemma":[0.9628599,0.025585476,0.006980073,0.0026896328,0.0010324128,0.0008523914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008448223,0.00046584295,0.0009830948,0.00087572844,0.0012837272,0.00489982,0.0008115399,0.002406779,0.0049575386],"category_scores_gemma":[0.025735453,0.0005836088,0.0008074432,0.0014667831,0.0051096166,0.0069102095,0.0020256785,0.0028973334,0.0004317346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027577067,0.00015604658,0.0064128544,0.000090956346,0.000062501036,0.00025014725,0.00050959515,0.028765619,0.0007719921,0.9503897,0.0011472547,0.011167643],"study_design_scores_gemma":[0.00012212433,0.000074338735,0.0034376883,0.000051614374,0.00004134994,0.000116083196,0.00035589322,0.04677564,0.0010162368,0.9449044,0.0030703698,0.000034281155],"about_ca_topic_score_codex":0.00206954,"about_ca_topic_score_gemma":0.0014625974,"teacher_disagreement_score":0.008448223,"about_ca_system_score_codex":0.003524904,"about_ca_system_score_gemma":0.0019932978,"threshold_uncertainty_score":0.044679046},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03506877115224695,"score_gpt":0.2636244186857749,"score_spread":0.22855564753352797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542886241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98714066,0.00018211229,0.00005862809,0.00029222327,0.0000050280078,0.00003670658,0.005533397,0.0000109267985,0.006740209],"genre_scores_gemma":[0.9872766,0.000465262,0.0003347022,0.00014756364,0.0000041180165,0.000028412904,0.0048363633,0.000006731648,0.006900219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995435,0.000035375822,0.000023452738,0.00006781112,0.00023298108,0.000096817545],"domain_scores_gemma":[0.9984193,0.0001790269,0.00028535066,0.00005634084,0.0007716579,0.00028844213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044120202,0.00025868625,0.00022872421,0.001599797,0.0021345478,0.0011213452,0.0005161968,0.00039002433,0.0068486636],"category_scores_gemma":[0.0017219794,0.00028122184,0.00065810606,0.004144435,0.0004443914,0.00043967523,0.00052407786,0.0004454884,0.00074425375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013769623,0.00010937075,0.9730848,0.00006533517,0.000057270252,0.00014063505,0.006883673,0.00026969204,0.0005035278,0.00041776302,0.004686199,0.01364409],"study_design_scores_gemma":[0.000006883861,0.000034072076,0.9911642,0.000024392142,0.000016968594,0.000041353418,0.004963895,0.000508682,0.00007309807,0.000040430965,0.0030975633,0.000028476024],"about_ca_topic_score_codex":0.9916294,"about_ca_topic_score_gemma":0.9953709,"teacher_disagreement_score":0.012040618,"about_ca_system_score_codex":0.012040618,"about_ca_system_score_gemma":0.009461743,"threshold_uncertainty_score":0.08736116},"labels":[],"label_agreement":null},{"id":"W1543979507","doi":"10.22004/ag.econ.51094","title":"Results of a Survey of Graduate Courses in Agricultural Trade","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Agriculture; Agricultural economics; Regional science; Mathematics education; Economics; Psychology; Geography; Archaeology","score_opus":0.09353831207227509,"score_gpt":0.282366361916998,"score_spread":0.1888280498447229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543979507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98965317,0.000317005,0.00021478371,0.00075759913,0.00003596928,0.00007284366,0.0036648992,0.000018478318,0.0052652587],"genre_scores_gemma":[0.9776854,0.0009079183,0.0004323463,0.0015790992,0.00008559991,0.00029134558,0.0047596004,0.000032235534,0.014226587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840146,0.00032022293,0.00016290971,0.00027023244,0.0004818719,0.00036324287],"domain_scores_gemma":[0.98904234,0.002764179,0.0022411447,0.0005108357,0.0027008704,0.0027405762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018283814,0.00021959172,0.00038706005,0.0023673128,0.00074258074,0.0008939625,0.00031834323,0.00078619167,0.0074835587],"category_scores_gemma":[0.0069845375,0.000226683,0.00027924767,0.0027110775,0.00040428236,0.0006799381,0.0010150239,0.0006782218,0.0036860732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007303416,0.00024886415,0.9737802,0.00007931807,0.000014394438,0.000074295865,0.0040591564,0.00003273834,0.0007952314,0.0001667991,0.004770069,0.015905788],"study_design_scores_gemma":[0.0000033914573,0.00009573648,0.9891964,0.000015970421,0.0000036707172,0.00006665299,0.004329979,0.000030432722,0.000096084696,0.000022136499,0.0061360495,0.0000034917734],"about_ca_topic_score_codex":0.004118612,"about_ca_topic_score_gemma":0.0064669964,"teacher_disagreement_score":0.0074835587,"about_ca_system_score_codex":0.0005870862,"about_ca_system_score_gemma":0.0011155896,"threshold_uncertainty_score":0.025035024},"labels":[],"label_agreement":null},{"id":"W1545563920","doi":"10.22004/ag.econ.99796","title":"The Mad Cow Disease Trade Ban and Changes in the U.S. and Canadian Cull Cow Markets: A DAG Analysis","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bovine spongiform encephalopathy; Price discovery; Information flow; Economics; Disease; Financial economics; Medicine","score_opus":0.025136312870754275,"score_gpt":0.21387947056456558,"score_spread":0.1887431576938113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545563920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907968,0.00018513201,0.0012475876,0.00030401905,0.000009703507,0.000043827513,0.005618778,0.000024741656,0.0017694859],"genre_scores_gemma":[0.9963123,0.000091065434,0.00082305766,0.000022398035,0.0000027324934,0.000014021346,0.0021981415,0.0000033781873,0.0005329547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995523,0.00008140589,0.00002024035,0.000088555076,0.00010004781,0.00015737192],"domain_scores_gemma":[0.9979547,0.000843507,0.00034428952,0.00012091083,0.00047119384,0.00026531282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012269199,0.00021329838,0.00024153267,0.0032118903,0.0008661535,0.0008982705,0.0005846513,0.00026960406,0.0025611436],"category_scores_gemma":[0.0062015657,0.00012728786,0.0006104297,0.0054107993,0.00054548326,0.0003847182,0.00050614023,0.00055345346,0.00008595892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038962666,0.0001184522,0.9310038,0.00009143522,0.0003436155,0.00029635325,0.0006791912,0.027260235,0.00075829757,0.008184522,0.003593214,0.027281225],"study_design_scores_gemma":[0.00003738557,0.00007642943,0.89236534,0.000022212173,0.00016811452,0.00006757712,0.0019835983,0.09492448,0.00028189455,0.003813844,0.006222665,0.00003631937],"about_ca_topic_score_codex":0.90111816,"about_ca_topic_score_gemma":0.9118056,"teacher_disagreement_score":0.09888184,"about_ca_system_score_codex":0.006843697,"about_ca_system_score_gemma":0.008586204,"threshold_uncertainty_score":0.1989283},"labels":[],"label_agreement":null},{"id":"W1545692104","doi":"10.22004/ag.econ.53931","title":"Cropland Values in 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":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agricultural economics; Agricultural science; Greenhouse; Geography; Business; Environmental science; Agronomy; Economics; Biology","score_opus":0.017041545386423294,"score_gpt":0.1819705223006233,"score_spread":0.1649289769142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545692104","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29637614,0.025862522,0.0006743692,0.007399554,0.0004136664,0.00016358552,0.32843044,0.00065180036,0.340028],"genre_scores_gemma":[0.75847334,0.027252812,0.0018538273,0.0010664596,0.00006880444,0.00009535575,0.09939995,0.00013217427,0.111657254],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942905,0.000014192446,0.00002188693,0.000043947974,0.00032498466,0.00016582297],"domain_scores_gemma":[0.9985775,0.000046628888,0.00007945818,0.00001774699,0.0009952397,0.00028349864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024027674,0.0002608991,0.00021271,0.003327434,0.0019542044,0.0018570193,0.0003738425,0.00014831514,0.009682203],"category_scores_gemma":[0.0011524563,0.00014128412,0.00020923212,0.009617428,0.00026834285,0.0004379433,0.0004181353,0.00048395144,0.00086784246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016970302,0.000061387465,0.25956523,0.000633109,0.00009893891,0.0003356605,0.0024039955,0.0011824616,0.0007552275,0.010259668,0.46458766,0.25994685],"study_design_scores_gemma":[0.000013938361,0.000020866964,0.62852967,0.00022039919,0.000025083713,0.000102741265,0.0016920241,0.0005440933,0.00023129025,0.00039203756,0.3681908,0.00003702303],"about_ca_topic_score_codex":0.9964929,"about_ca_topic_score_gemma":0.9984101,"teacher_disagreement_score":0.030900374,"about_ca_system_score_codex":0.030900374,"about_ca_system_score_gemma":0.050606888,"threshold_uncertainty_score":0.22419894},"labels":[],"label_agreement":null},{"id":"W1545963841","doi":"10.22004/ag.econ.7717","title":"Perceived Risk is Important for Consumers' Acceptance of Genetically Modified Foods, but Trust in Industry not Really: A Means-End Analysis of German Consumers","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"German; Risk perception; Business; Marketing; Empirical research; Advertising; Psychology; Perception; Mathematics","score_opus":0.05812316797381539,"score_gpt":0.341330310645375,"score_spread":0.2832071426715596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545963841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999403,0.0000070943092,0.00020240677,0.000015518111,5.627573e-7,0.0000023260245,0.000026570102,8.57511e-7,0.00034157024],"genre_scores_gemma":[0.99960595,0.000006744865,0.00012653988,0.00000649104,5.52894e-7,0.000003854358,0.000041434894,5.509738e-7,0.00020783485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996227,0.0001726106,0.000018597053,0.000042938278,0.00007840285,0.00006469632],"domain_scores_gemma":[0.99814045,0.0010481176,0.00033429766,0.00017202392,0.00020589196,0.00009924158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011224792,0.00017984115,0.00018567454,0.0005411336,0.0004467747,0.00090617326,0.00013046565,0.00026460542,0.0029373681],"category_scores_gemma":[0.0029028363,0.00011767051,0.0004198934,0.0004181353,0.0005347989,0.00042314915,0.0004351,0.0004601357,0.00020272119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073539163,0.00034227976,0.9475589,0.00004148497,0.00020737917,0.00015179622,0.012605316,0.0007015805,0.0043788375,0.0024187083,0.0003096194,0.030548776],"study_design_scores_gemma":[0.000008627382,0.0002889891,0.98578995,0.0000106349,0.00006100511,0.00007584096,0.008334657,0.0026880498,0.0011013721,0.0010154641,0.0006106224,0.000014807188],"about_ca_topic_score_codex":0.005766709,"about_ca_topic_score_gemma":0.006287164,"teacher_disagreement_score":0.005766709,"about_ca_system_score_codex":0.000553531,"about_ca_system_score_gemma":0.00025834388,"threshold_uncertainty_score":0.011466324},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01507322262988903,"score_gpt":0.20604840416289488,"score_spread":0.19097518153300586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546105652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7017548,0.008751688,0.0012059391,0.034438524,0.00011687911,0.00009058389,0.0013245856,0.0000617109,0.2522553],"genre_scores_gemma":[0.9796622,0.0029799775,0.00035934235,0.0012360896,0.000014542085,0.000009922829,0.0002332172,0.000009160292,0.015495428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99889636,0.00007792093,0.000019024817,0.000068126275,0.00029924148,0.00063927675],"domain_scores_gemma":[0.99935037,0.000043409895,0.00005962688,0.000012583591,0.0003509269,0.00018303754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047574838,0.00015412232,0.00013674918,0.0012616381,0.006366218,0.0036669876,0.00050184905,0.00070101774,0.004107508],"category_scores_gemma":[0.0013087753,0.00013929019,0.0002054229,0.0039047808,0.0029831466,0.0009008448,0.0011605484,0.0009559314,0.00013583283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040501344,0.00019436947,0.13639413,0.0003660161,0.00008994889,0.0014654576,0.025646947,0.017337415,0.0031758188,0.60613513,0.049885552,0.15890415],"study_design_scores_gemma":[0.00004330322,0.00006114331,0.44198403,0.00029463042,0.000045148405,0.00018382826,0.03714315,0.00520845,0.0008370689,0.024068683,0.49000242,0.00012822698],"about_ca_topic_score_codex":0.99769163,"about_ca_topic_score_gemma":0.99819946,"teacher_disagreement_score":0.14729087,"about_ca_system_score_codex":0.14729087,"about_ca_system_score_gemma":0.10214874,"threshold_uncertainty_score":0.9890217},"labels":[],"label_agreement":null},{"id":"W1546627420","doi":"10.22004/ag.econ.8214","title":"The Role of the Imports for Re-Exports Program in Determining Canadian Demand for Imported Cheese: Implications for U.S. Exports","year":2008,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); International trade; Business; International economics; Agricultural economics; Economics","score_opus":0.035713986719428416,"score_gpt":0.2238487374153869,"score_spread":0.1881347506959585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546627420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984654,0.00051224424,0.00033351444,0.001311893,0.000009718221,0.000025632931,0.0026284805,0.0000143846555,0.010510233],"genre_scores_gemma":[0.99530506,0.00033291752,0.0003064375,0.00008869122,0.0000042255474,0.0000054126144,0.0009686056,0.000011398582,0.0029772918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992939,0.00007256004,0.000023485307,0.00009267887,0.00023981367,0.0002776083],"domain_scores_gemma":[0.99763286,0.00046820863,0.0004319342,0.0000827345,0.000984571,0.0003995965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011290906,0.00031427402,0.00026146416,0.0009485372,0.0010614474,0.0016548258,0.00052468485,0.00031009832,0.0037664173],"category_scores_gemma":[0.004032654,0.00017006347,0.00071118865,0.0016851553,0.0007178981,0.0005359128,0.00063046574,0.0006654822,0.00022291887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034418245,0.000049578885,0.97536975,0.000053330466,0.00012555518,0.00018556132,0.00063369045,0.0023503313,0.00089055765,0.0032895862,0.0012415432,0.015466365],"study_design_scores_gemma":[0.0000071075833,0.000027757234,0.992943,0.000029732939,0.00008743774,0.00004062724,0.0013838466,0.001648364,0.0005015195,0.00020093798,0.0031146558,0.000014974933],"about_ca_topic_score_codex":0.97760665,"about_ca_topic_score_gemma":0.98750955,"teacher_disagreement_score":0.022393346,"about_ca_system_score_codex":0.017374696,"about_ca_system_score_gemma":0.0226618,"threshold_uncertainty_score":0.12606281},"labels":[],"label_agreement":null},{"id":"W1547900267","doi":"10.22004/ag.econ.27239","title":"TRACKING THE EVOLUTION OF E-GROCERS: A QUANTITATIVE ASSESSMENT","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marketing; Business; Quality (philosophy); Product (mathematics); Quarter (Canadian coin); Ranking (information retrieval); The Internet; Tracking (education); Advertising","score_opus":0.04615179141978385,"score_gpt":0.2739237992044814,"score_spread":0.22777200778469756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547900267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929327,0.00010971189,0.0006332698,0.000072311814,0.0000021043966,0.00008253812,0.0012504966,0.000016930724,0.0048999228],"genre_scores_gemma":[0.99582773,0.00009729642,0.0013036549,0.000036582427,0.0000050173708,0.00007655069,0.0011826173,0.000006843873,0.0014637514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971852,0.0008613747,0.00030002676,0.0004201626,0.0009354709,0.0002978558],"domain_scores_gemma":[0.97850055,0.008951983,0.0050547603,0.0009633963,0.0054849703,0.0010443644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038507604,0.00016821206,0.00017069007,0.0050719506,0.0005942584,0.0014891259,0.0007398726,0.00043549543,0.0024465234],"category_scores_gemma":[0.018209383,0.00020064227,0.00022619334,0.0040447856,0.0005703796,0.0018862357,0.00130511,0.00041454405,0.0005037757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072205454,0.00008311573,0.9757639,0.000054544562,0.000024523339,0.00008055331,0.0017497417,0.00037498405,0.00051797664,0.00045052683,0.00031096477,0.020517053],"study_design_scores_gemma":[0.0000034675136,0.00022810645,0.98986673,0.000015964471,0.000010891497,0.00018573951,0.004836688,0.0013868792,0.00043785767,0.00014270168,0.0028716093,0.000013424293],"about_ca_topic_score_codex":0.006108779,"about_ca_topic_score_gemma":0.009964928,"teacher_disagreement_score":0.006108779,"about_ca_system_score_codex":0.00088319567,"about_ca_system_score_gemma":0.0006384389,"threshold_uncertainty_score":0.020365},"labels":[],"label_agreement":null},{"id":"W1548366016","doi":"10.22004/ag.econ.163032","title":"Investment Behavior of Canadian Egg Producers: Analyzing the Impacts of Risk Aversion and Variability of Prices and Costs of Production","year":2014,"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":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Production (economics); Risk aversion (psychology); Investment (military); Business; Variance (accounting); Welfare; Economics; Risk management; Natural resource economics; Agricultural economics; Microeconomics; Expected utility hypothesis; Finance; Financial economics","score_opus":0.017359555640229465,"score_gpt":0.1892978862928022,"score_spread":0.17193833065257275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548366016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977793,0.00008299108,0.00015817683,0.00013530329,0.000001034845,0.000011499848,0.00031743632,0.0000030534309,0.0015110283],"genre_scores_gemma":[0.997329,0.00012680658,0.00036094856,0.000022673588,0.0000010940034,0.0000059080166,0.0003959093,0.0000017779968,0.0017558688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970704,0.000056497713,0.0000071989803,0.000047315043,0.0000902342,0.00009174928],"domain_scores_gemma":[0.99867755,0.0004362135,0.0003236526,0.000061130646,0.0003013729,0.00020007032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008140834,0.0002573961,0.00019377403,0.00047283413,0.0009997783,0.0008155657,0.00047935138,0.0003693441,0.0019874128],"category_scores_gemma":[0.0031920993,0.00017834816,0.00026122967,0.0008246094,0.0004403025,0.00024967824,0.00026999376,0.000366234,0.00013257995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025625026,0.000152569,0.96984977,0.00003749791,0.00007557829,0.0002572171,0.0022071812,0.0065523754,0.0019088769,0.0011167777,0.0012719075,0.016314002],"study_design_scores_gemma":[0.000010098858,0.00007134997,0.9864399,0.0000127613575,0.00002306745,0.00003755854,0.0023136754,0.008877894,0.00024992233,0.0001310442,0.001810611,0.000022218772],"about_ca_topic_score_codex":0.975321,"about_ca_topic_score_gemma":0.9873073,"teacher_disagreement_score":0.024679005,"about_ca_system_score_codex":0.014811241,"about_ca_system_score_gemma":0.0060585155,"threshold_uncertainty_score":0.1074636},"labels":[],"label_agreement":null},{"id":"W1549579500","doi":"10.22004/ag.econ.6321","title":"An Economic Assessment of the BSE Crisis in Canada: Impact of Border Closure and BSE Recovery Programs: Technical Annex","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closure (psychology); Economic impact analysis; Business; International trade; Political science; Economics; Law","score_opus":0.024941377948950624,"score_gpt":0.3074582209563962,"score_spread":0.28251684300744556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549579500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45787427,0.02300222,0.0047464855,0.04642621,0.0008908951,0.0025837864,0.13576192,0.00028398563,0.32843024],"genre_scores_gemma":[0.89755267,0.018415488,0.0055574635,0.0019109405,0.0001829984,0.00043216752,0.020824812,0.000085806845,0.055037696],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99673563,0.0002828295,0.00007948062,0.00008039988,0.0019129775,0.00090862083],"domain_scores_gemma":[0.99689204,0.00024434185,0.00015395963,0.00004136944,0.002328945,0.00033920273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018619726,0.0007383399,0.0007055464,0.0054077925,0.003171618,0.0044669523,0.0010435211,0.0011887493,0.006127838],"category_scores_gemma":[0.004305402,0.0003576816,0.0010191066,0.008779855,0.00068135577,0.0012223498,0.001516303,0.0013157242,0.0002699559],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010495809,0.0007569529,0.14692056,0.0017250042,0.000788013,0.0010809222,0.0021722512,0.14357334,0.0020179944,0.13262297,0.38201067,0.1852818],"study_design_scores_gemma":[0.00024099382,0.0004357775,0.60841167,0.0012902601,0.00044343012,0.00019389752,0.016167384,0.06514693,0.003236366,0.014264347,0.2897622,0.00040675528],"about_ca_topic_score_codex":0.9914363,"about_ca_topic_score_gemma":0.9947418,"teacher_disagreement_score":0.07810278,"about_ca_system_score_codex":0.07810278,"about_ca_system_score_gemma":0.12366718,"threshold_uncertainty_score":0.566678},"labels":[],"label_agreement":null},{"id":"W1550237545","doi":"10.22004/ag.econ.23902","title":"Recent Developments in the US-Canadian Softwood Lumber Disputes: Technical Annex","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Softwood; International trade; Political science; Business; Engineering; Pulp and paper industry","score_opus":0.04818199087343335,"score_gpt":0.2710482463410207,"score_spread":0.22286625546758737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550237545","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026131872,0.028288817,0.0043864823,0.04453325,0.0013950977,0.00035936356,0.0075026727,0.00035655062,0.8870459],"genre_scores_gemma":[0.3915798,0.043510273,0.019133586,0.024686988,0.0009242174,0.0003447418,0.009411191,0.0003778449,0.5100314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9837908,0.00075263286,0.00029941107,0.00060231384,0.011796506,0.0027582764],"domain_scores_gemma":[0.98734957,0.0022644785,0.00049311685,0.00035871268,0.008902006,0.0006320377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073525715,0.00071419816,0.00042085757,0.008147836,0.012065261,0.012916855,0.0033977441,0.004020496,0.028862312],"category_scores_gemma":[0.014357097,0.00069356174,0.0008526194,0.014055939,0.003815152,0.004021792,0.0021517312,0.0033804884,0.0029032915],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000630194,0.000060849503,0.0036589892,0.00057097035,0.000026448222,0.00025802568,0.005109265,0.0013974181,0.0013573128,0.48105046,0.3744477,0.13199966],"study_design_scores_gemma":[0.00001500343,0.000023323575,0.021019597,0.00048696648,0.00003287154,0.00010838504,0.004030487,0.00062001456,0.001468812,0.0122239385,0.9598502,0.000120373326],"about_ca_topic_score_codex":0.98454374,"about_ca_topic_score_gemma":0.9912164,"teacher_disagreement_score":0.10586045,"about_ca_system_score_codex":0.10586045,"about_ca_system_score_gemma":0.1321476,"threshold_uncertainty_score":0.7680749},"labels":[],"label_agreement":null},{"id":"W1550698612","doi":"10.22004/ag.econ.273918","title":"Precautionary Savings and Wealth Inequality: a Global Sensitivity Analysis","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Precautionary savings; Econometrics; Inequality; Depreciation (economics); Robustness (evolution); Index (typography); Consumption (sociology); Ambiguity aversion; Economic inequality; Microeconomics; Monetary economics; Capital formation; Ambiguity; Mathematics; Profit (economics)","score_opus":0.037302577657766324,"score_gpt":0.24615245019433177,"score_spread":0.20884987253656545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550698612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71474814,0.003604661,0.23508902,0.0018773641,0.0002099001,0.0010268737,0.00536843,0.00040517838,0.037670385],"genre_scores_gemma":[0.9819702,0.0009890287,0.013400676,0.00020507627,0.000033111206,0.00031185345,0.0009705611,0.00004789497,0.0020716651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783784,0.0015479903,0.00004974415,0.00018100912,0.00017163507,0.00021176747],"domain_scores_gemma":[0.9879853,0.010342635,0.00047981468,0.00081532093,0.00030717484,0.00006969093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067632967,0.0013329707,0.0016039587,0.0028520338,0.00042678945,0.0014281431,0.0009072605,0.001077887,0.005755268],"category_scores_gemma":[0.014280041,0.0003378048,0.003965601,0.001800021,0.000877758,0.0012606232,0.0024145423,0.0017095064,0.0001812986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000225468,0.000104468076,0.004334608,0.00025559883,0.0008973074,0.00033035115,0.00011871011,0.96015555,0.0009859399,0.021659458,0.001346302,0.0095863575],"study_design_scores_gemma":[0.00016728824,0.0007826258,0.012671829,0.00019969512,0.0011770531,0.0003385228,0.0006393538,0.907781,0.003718841,0.065906376,0.0064558876,0.00016148669],"about_ca_topic_score_codex":0.0056447047,"about_ca_topic_score_gemma":0.0022536598,"teacher_disagreement_score":0.0067632967,"about_ca_system_score_codex":0.0012376744,"about_ca_system_score_gemma":0.0004943016,"threshold_uncertainty_score":0.03576815},"labels":[],"label_agreement":null},{"id":"W1552211922","doi":"10.22004/ag.econ.34143","title":"SHORT-TERM EMPLOYMENT TRANSITIONS OF THE CANADIAN LABOUR FORCE: RURAL-URBAN DIFFERENCES","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Underemployment; Disadvantage; Demographic economics; Labour economics; Economics; Rural area; Unemployment; Economic growth; Political science","score_opus":0.03348601913423856,"score_gpt":0.213845359554172,"score_spread":0.18035934041993346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552211922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907612,0.00056579494,0.00010436756,0.00027106277,0.000006376609,0.00003019127,0.005899681,0.0000074259465,0.0023539125],"genre_scores_gemma":[0.9949319,0.00041530575,0.00011218122,0.00003156585,0.000003246071,0.000014479587,0.0030695794,0.0000034024988,0.0014183841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995043,0.000025914424,0.000024504836,0.00006405629,0.00015404233,0.00022714172],"domain_scores_gemma":[0.99871063,0.00009453472,0.0003184622,0.00004016488,0.0004436527,0.00039253943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057389005,0.00022648124,0.00024399307,0.002132507,0.0020431438,0.00095055613,0.00088927726,0.0003201157,0.0029361635],"category_scores_gemma":[0.002047436,0.00017442854,0.00042199067,0.0048239357,0.00048752542,0.00039291897,0.0011537628,0.000533464,0.00029740873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012890827,0.000038772076,0.98298603,0.000044180524,0.000047046116,0.00007392505,0.0030246205,0.00031382643,0.0002147499,0.00033579726,0.0011104966,0.011681571],"study_design_scores_gemma":[0.0000019192764,0.00000907194,0.99774855,0.0000085103275,0.0000055501896,0.0000138541,0.0011708383,0.00016391255,0.000024974916,0.00002499033,0.00082315423,0.0000045479055],"about_ca_topic_score_codex":0.9907986,"about_ca_topic_score_gemma":0.9961628,"teacher_disagreement_score":0.01056807,"about_ca_system_score_codex":0.01056807,"about_ca_system_score_gemma":0.013220769,"threshold_uncertainty_score":0.076677084},"labels":[],"label_agreement":null},{"id":"W1553095394","doi":"10.22004/ag.econ.28057","title":"Sub-Provincial Income Disparity in Canada: Evidence From 1992 to 1999","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Demographic economics; Econometrics","score_opus":0.04630450178384052,"score_gpt":0.21093169233682785,"score_spread":0.16462719055298733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553095394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96001047,0.0032871012,0.00018365003,0.0017010067,0.00003310974,0.000042874948,0.028510733,0.000027278586,0.0062037837],"genre_scores_gemma":[0.9891228,0.0013733623,0.00019933093,0.00021181404,0.00001122705,0.000023901868,0.0065371497,0.00000956584,0.0025109812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983109,0.00009288841,0.00011193971,0.00020479024,0.0005351367,0.0007442303],"domain_scores_gemma":[0.9894748,0.0005723028,0.0020515816,0.00031824512,0.0061742957,0.0014087008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009843863,0.0003267733,0.000655043,0.0041344943,0.0035498245,0.0018518481,0.0015783664,0.00064384664,0.0033706385],"category_scores_gemma":[0.005293397,0.00035479403,0.0006915132,0.016944222,0.00098232,0.0007018904,0.0017802641,0.0009875331,0.00031414404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015286151,0.000040325933,0.98259544,0.000081879654,0.00011298272,0.00010284947,0.0016862905,0.00025238708,0.000090048474,0.0007863202,0.0048205224,0.00927812],"study_design_scores_gemma":[0.0000052257888,0.000006794466,0.9961837,0.00003678087,0.000032013428,0.000020737934,0.0012565762,0.00016572613,0.000051723426,0.000047585643,0.0021850697,0.000008044747],"about_ca_topic_score_codex":0.9986119,"about_ca_topic_score_gemma":0.99924517,"teacher_disagreement_score":0.040233515,"about_ca_system_score_codex":0.040233515,"about_ca_system_score_gemma":0.056169063,"threshold_uncertainty_score":0.29191595},"labels":[],"label_agreement":null},{"id":"W1554939473","doi":"10.22004/ag.econ.27437","title":"THE IMPACT OF RESPONDENTS' CHARACTERISTICS ON PURCHASING DECISIONS","year":2000,"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":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Quarter (Canadian coin); Per capita; Agricultural economics; Consumption (sociology); Economics; Business; Agribusiness; Marketing; Agriculture; Geography; Social science","score_opus":0.035548547642798516,"score_gpt":0.23563050232303231,"score_spread":0.2000819546802338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554939473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968315,0.00009537364,0.000102796024,0.0002485628,0.000017233713,0.000011316932,0.00069874804,0.0000033129363,0.0019912827],"genre_scores_gemma":[0.9983872,0.000059248337,0.000046176814,0.00007479177,0.000010621639,0.000010469908,0.0005464526,0.0000026544778,0.00086250564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741757,0.0015046649,0.00018507226,0.0002154785,0.0003029599,0.00037424007],"domain_scores_gemma":[0.96032983,0.029294834,0.0047200406,0.0012489759,0.0013677547,0.0030385433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034054127,0.00019730859,0.00029554995,0.0006499512,0.00049531256,0.001651382,0.00037210627,0.0006834845,0.015393733],"category_scores_gemma":[0.021310013,0.00019485531,0.00069935346,0.0011378207,0.00036421767,0.00067811453,0.00066307426,0.0013042693,0.0017374346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003439285,0.00020358295,0.9946845,0.0000118686785,0.00010384414,0.0000671711,0.00039041412,0.00008637353,0.00006433174,0.000084459876,0.00040680045,0.003552638],"study_design_scores_gemma":[0.000014034979,0.00019117256,0.9963342,0.000007895797,0.000044291603,0.000077372955,0.0022039248,0.0004491883,0.0000789355,0.00012752374,0.00046296048,0.000008412002],"about_ca_topic_score_codex":0.0049466738,"about_ca_topic_score_gemma":0.0042799762,"teacher_disagreement_score":0.015393733,"about_ca_system_score_codex":0.0003311785,"about_ca_system_score_gemma":0.0003344,"threshold_uncertainty_score":0.05149716},"labels":[],"label_agreement":null},{"id":"W1556208786","doi":"10.22004/ag.econ.129590","title":"Canadian pork exports surge when Canadian dollar is weak relative to U.S. dollar","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Us dollar; Economics; Monetary economics; International economics; Agricultural economics; Business; International trade; Exchange rate; Finance","score_opus":0.04811005336518224,"score_gpt":0.18981884804003066,"score_spread":0.14170879467484843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556208786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7934703,0.0014902481,0.00034474928,0.03472415,0.0004266927,0.00002752039,0.017357163,0.00018055706,0.15197869],"genre_scores_gemma":[0.97800714,0.0010152459,0.00012162024,0.0016078036,0.000079941594,0.000005053963,0.0039043385,0.000031734467,0.015227046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996239,0.000009390178,0.000008815066,0.000034721917,0.00015525769,0.00016792065],"domain_scores_gemma":[0.998262,0.00010116205,0.0002184717,0.000025668945,0.0011054479,0.00028733833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036704433,0.00022378177,0.00023974446,0.0013310671,0.0030974091,0.0046025105,0.00045407002,0.0008864623,0.012212163],"category_scores_gemma":[0.0025596775,0.00016288033,0.00019755594,0.0019658126,0.00079274114,0.0011677498,0.00077019446,0.0012547176,0.00084169506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009403067,0.000100494115,0.6430122,0.00018857677,0.00011690365,0.0010399832,0.0022327928,0.0021017878,0.002814181,0.022871276,0.28143874,0.043142784],"study_design_scores_gemma":[0.000024708324,0.000038843966,0.8861415,0.00007824436,0.00005416734,0.00012191777,0.010822992,0.0017104563,0.0010406428,0.001763011,0.098160386,0.00004307499],"about_ca_topic_score_codex":0.9701092,"about_ca_topic_score_gemma":0.98598635,"teacher_disagreement_score":0.029890776,"about_ca_system_score_codex":0.021553477,"about_ca_system_score_gemma":0.017901199,"threshold_uncertainty_score":0.15638214},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.06706572938865436,"score_gpt":0.27110278557934936,"score_spread":0.204037056190695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558534152","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0348219,0.6113477,0.01936364,0.11397585,0.0014107684,0.00019213482,0.0003967867,0.0002287562,0.21826246],"genre_scores_gemma":[0.41674837,0.5001919,0.016522594,0.0062857647,0.0011450177,0.00019324273,0.000388913,0.00009176793,0.058432348],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992341,0.0002159352,0.000037501017,0.00007282613,0.00028600954,0.00015360421],"domain_scores_gemma":[0.9996063,0.00016460376,0.000034045643,0.000020204954,0.00011566112,0.000059171292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010489923,0.00037544937,0.00031732448,0.0016879659,0.0018672086,0.005735873,0.0017345431,0.0016257293,0.006294398],"category_scores_gemma":[0.0012057809,0.00022928996,0.00018005563,0.0042912653,0.0027872755,0.0034989482,0.002592905,0.0012565126,0.0006657689],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043402266,0.00015087401,0.0075652422,0.0022837864,0.000034507633,0.0005707648,0.002141104,0.0045742798,0.0011867884,0.3057504,0.04390494,0.6317939],"study_design_scores_gemma":[0.000008592343,0.00006389633,0.0067124804,0.0009116983,0.000019230589,0.00055586756,0.0050377585,0.0025673267,0.00060700614,0.05471158,0.9287736,0.000030821462],"about_ca_topic_score_codex":0.046920054,"about_ca_topic_score_gemma":0.0992827,"teacher_disagreement_score":0.046920054,"about_ca_system_score_codex":0.0050609396,"about_ca_system_score_gemma":0.0070399824,"threshold_uncertainty_score":0.093293905},"labels":[],"label_agreement":null},{"id":"W1558689788","doi":"10.22004/ag.econ.31785","title":"THE ROLE OF SOCIAL COHESION IN THE ADOPTION OF INNOVATION AND THE SELECTION OF ORGANIZATIONAL FORM: AN EXAMINATION OF SASKATCHEWAN'S VALUE-ADDED AGRICULTURAL SECTOR","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Saskatchewan","keywords":"Cohesion (chemistry); Business; Agriculture; Value (mathematics); Selection (genetic algorithm); Industrial organization; Economic system; Economics; Geography","score_opus":0.016472184865234964,"score_gpt":0.20057370781388417,"score_spread":0.1841015229486492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558689788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99699956,0.00005198034,0.000060026116,0.00014952807,8.4422476e-7,0.0000069691873,0.000022428945,0.0000015861916,0.002707134],"genre_scores_gemma":[0.9993699,0.00006240402,0.000050403323,0.000020248879,6.1747073e-7,0.0000037774275,0.000018286291,0.0000012755683,0.00047303867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990621,0.0003339318,0.000031647924,0.00008505167,0.00014980542,0.00033741118],"domain_scores_gemma":[0.9944458,0.0027899586,0.0008606328,0.0003506479,0.0007913089,0.00076157006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017249435,0.00017793183,0.00026652997,0.0021123134,0.0024626884,0.0031987927,0.00094073225,0.0004775169,0.0020867884],"category_scores_gemma":[0.0042324997,0.00022739453,0.0002453489,0.00377598,0.0036924866,0.0010775909,0.0025373562,0.00063308346,0.00018358823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022031204,0.00028397882,0.89549536,0.000058463018,0.00008048185,0.0006312143,0.057425108,0.00077923376,0.0031659578,0.010331578,0.00047524748,0.031053105],"study_design_scores_gemma":[0.000009401241,0.00006224722,0.9470105,0.000022227636,0.000020239537,0.00004196326,0.04960281,0.00044993433,0.00024316169,0.0013320731,0.0011930388,0.000012459683],"about_ca_topic_score_codex":0.43878174,"about_ca_topic_score_gemma":0.7290338,"teacher_disagreement_score":0.56121826,"about_ca_system_score_codex":0.010197324,"about_ca_system_score_gemma":0.010831561,"threshold_uncertainty_score":0.8724555},"labels":[],"label_agreement":null},{"id":"W1559125313","doi":"10.22004/ag.econ.132342","title":"A Demographically Augmented Shift-Share Employment Analysis: An Application to Canadian Employment Patterns","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Labour economics; Demographic economics; Econometrics","score_opus":0.03859675840843941,"score_gpt":0.21684452358837855,"score_spread":0.17824776517993915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559125313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75515825,0.00044773563,0.22283052,0.0012263336,0.000059795264,0.00029123534,0.006544583,0.0005441127,0.012897461],"genre_scores_gemma":[0.9471242,0.00022714083,0.046564538,0.00009022648,0.000023062747,0.0000710594,0.0016150443,0.00003260978,0.0042521255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995447,0.00012375317,0.000013639442,0.00007853944,0.0001683709,0.00007100679],"domain_scores_gemma":[0.9994305,0.00015377204,0.000063030515,0.00011827974,0.00019173759,0.000042700874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154658,0.00026721848,0.00033469376,0.001253048,0.0009644636,0.00050247513,0.00095653173,0.00035690854,0.0026452937],"category_scores_gemma":[0.003987541,0.00014688115,0.0005266728,0.0021274216,0.0004091064,0.00028336985,0.00070921506,0.00038692358,0.00029098723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028284814,0.000121380406,0.35147238,0.00013186278,0.00044042672,0.00045215644,0.002299061,0.3012952,0.003622808,0.0886287,0.009294178,0.241959],"study_design_scores_gemma":[0.000039073973,0.000066373446,0.27002394,0.00003640421,0.00007314669,0.00015046533,0.0011141778,0.6857292,0.00085490575,0.019778965,0.022053095,0.00008028056],"about_ca_topic_score_codex":0.84288454,"about_ca_topic_score_gemma":0.86294836,"teacher_disagreement_score":0.15711546,"about_ca_system_score_codex":0.003064955,"about_ca_system_score_gemma":0.0061877184,"threshold_uncertainty_score":0.31608146},"labels":[],"label_agreement":null},{"id":"W1559805119","doi":"10.22004/ag.econ.57330","title":"Trade Friction, Dispute Settlement and Structural Adjustment, Or, Why Canada-Wheat Doesn’t Matter in North American Trade Relations","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Burman University","funders":"Office of Human Development Services","keywords":"Context (archaeology); International trade; Economics; Panel data; Ambiguity; International economics; Politics; State (computer science); Protectionism; Political science; Economy; Law; Geography","score_opus":0.023717828622649227,"score_gpt":0.19444481697925015,"score_spread":0.1707269883566009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559805119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5036862,0.010348615,0.0027587381,0.15009345,0.0003646749,0.00006984311,0.00029758105,0.00004096142,0.33234],"genre_scores_gemma":[0.9857525,0.0021613557,0.0003024583,0.0054713646,0.00009566146,0.00002073039,0.00005479855,0.000014498583,0.006126714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99524695,0.0007685718,0.00014912579,0.0006857952,0.0013642757,0.0017853469],"domain_scores_gemma":[0.99359715,0.0023442549,0.0014599263,0.00048644765,0.0011046932,0.0010074455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045335526,0.0001840185,0.00048488885,0.0020962209,0.016938854,0.012778898,0.0013819219,0.0038188284,0.009843635],"category_scores_gemma":[0.01632761,0.000278589,0.00036373793,0.0054806494,0.026319748,0.006955748,0.0036896423,0.0045586815,0.000316978],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047043373,0.00004407884,0.0118392585,0.000062073574,0.000019020914,0.00035609482,0.017670887,0.00088082266,0.00015568385,0.93842626,0.012991255,0.017507551],"study_design_scores_gemma":[0.00008392541,0.0000271723,0.08126668,0.0006012543,0.0000673463,0.00028883567,0.06509314,0.0020456265,0.00032717822,0.5975864,0.25246814,0.00014428739],"about_ca_topic_score_codex":0.74812263,"about_ca_topic_score_gemma":0.8067721,"teacher_disagreement_score":0.25187737,"about_ca_system_score_codex":0.041717723,"about_ca_system_score_gemma":0.037889447,"threshold_uncertainty_score":0.5067214},"labels":[],"label_agreement":null},{"id":"W1560378681","doi":"10.22004/ag.econ.45777","title":"Assessing Africa's Food and Nutrition Security Situation","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Malnutrition; Food security; Productivity; Quarter (Canadian coin); Stunted growth; Development economics; Economic growth; Population; Population growth; Agriculture; Economics; Geography; Environmental health; Medicine","score_opus":0.2367708283414002,"score_gpt":0.425727197415295,"score_spread":0.18895636907389482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560378681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7715412,0.0031081482,0.000890922,0.017231144,0.00031294354,0.0002524327,0.03625797,0.000101366866,0.17030394],"genre_scores_gemma":[0.9499967,0.0046953694,0.0023556002,0.00060928374,0.0001397529,0.000106983265,0.0086290175,0.000019959132,0.033447213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985087,0.00003915143,0.000008724392,0.000010748811,0.00005389522,0.000036658414],"domain_scores_gemma":[0.9995486,0.00015805043,0.00004681582,0.00000835944,0.00018292779,0.000055206725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045425812,0.0001725653,0.00011226011,0.0022007464,0.0007069393,0.0011277024,0.00018535843,0.00027406143,0.022257704],"category_scores_gemma":[0.0026637071,0.000039931376,0.000083333216,0.0020172843,0.00012484631,0.00081015413,0.0005047019,0.00025510878,0.002062559],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098820536,0.00013960764,0.4333828,0.0008884053,0.000040429317,0.0012336404,0.011623981,0.001719309,0.00069751247,0.011936741,0.24030335,0.29793546],"study_design_scores_gemma":[0.000014312369,0.000110851746,0.75073904,0.0005485888,0.00002189234,0.0005658879,0.05050515,0.0017469681,0.00073425187,0.0040820003,0.19090383,0.00002727629],"about_ca_topic_score_codex":0.028917938,"about_ca_topic_score_gemma":0.0493028,"teacher_disagreement_score":0.028917938,"about_ca_system_score_codex":0.001082542,"about_ca_system_score_gemma":0.0012790863,"threshold_uncertainty_score":0.07445949},"labels":[],"label_agreement":null},{"id":"W1560419896","doi":"10.22004/ag.econ.24899","title":"Price Discrimination and EU Dairy Policy: An Economic Evaluation of Policy Options","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discrimination; Economics; International economics; Price policy; Public economics; Business; Economic policy; Microeconomics; Agriculture","score_opus":0.084485021711779,"score_gpt":0.2728911877614148,"score_spread":0.18840616604963578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560419896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8647844,0.007616662,0.007995503,0.008283099,0.00027428637,0.00025803802,0.0009072612,0.0000756808,0.10980505],"genre_scores_gemma":[0.995031,0.0012992366,0.00092619745,0.0006677311,0.00005078612,0.000065055385,0.00017461785,0.000009262663,0.001776177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99231213,0.0048386636,0.00022489087,0.00054794294,0.0010029596,0.0010734071],"domain_scores_gemma":[0.990669,0.0068129925,0.0010173416,0.00041291292,0.0007158377,0.00037196395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01184661,0.0007537567,0.0014244688,0.0017385392,0.0011390309,0.007841415,0.0015077515,0.004637127,0.0038791571],"category_scores_gemma":[0.020038595,0.0003860575,0.0017258838,0.0028686724,0.0026617695,0.0040127817,0.0038174978,0.0028952279,0.00017236485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051343343,0.0012060124,0.021213328,0.0005952312,0.000838988,0.00095618394,0.0002942163,0.37226424,0.0013318205,0.55788463,0.005749367,0.032531586],"study_design_scores_gemma":[0.0046360614,0.0057898127,0.047557272,0.0009231192,0.0018012238,0.00047382843,0.005711855,0.44772008,0.0062772916,0.42318818,0.05554116,0.00038006436],"about_ca_topic_score_codex":0.012792765,"about_ca_topic_score_gemma":0.005172977,"teacher_disagreement_score":0.012792765,"about_ca_system_score_codex":0.0058654887,"about_ca_system_score_gemma":0.0029709972,"threshold_uncertainty_score":0.062651634},"labels":[],"label_agreement":null},{"id":"W1560767946","doi":"10.22004/ag.econ.16838","title":"DISCUSSION: MANITOBA GRAIN AND LIVESTOCK FARMER","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Agricultural economics; Geography; Agricultural science; Agroforestry; Economics; Environmental science; Forestry","score_opus":0.03322534462099479,"score_gpt":0.22556311957906408,"score_spread":0.1923377749580693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560767946","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024582747,0.006103059,0.00097342057,0.68377006,0.009551193,0.00030659483,0.0025256714,0.00015091528,0.27203634],"genre_scores_gemma":[0.11037159,0.007971043,0.0010358996,0.25599346,0.0051256013,0.00041954438,0.0011312293,0.00017429769,0.61777735],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988532,0.0002746834,0.000033604483,0.00015366681,0.000257548,0.00042725503],"domain_scores_gemma":[0.99647623,0.0013586896,0.00009759507,0.00015063382,0.0012228044,0.0006939601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035098603,0.00047889785,0.00042977615,0.0007813538,0.014075984,0.004482804,0.0015642651,0.005661215,0.1860289],"category_scores_gemma":[0.0068238485,0.0002447139,0.0003519746,0.0017491499,0.0011986655,0.0018341227,0.0027896145,0.0028773958,0.019792961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008817429,0.000044199864,0.0040949695,0.00018393405,0.000009717795,0.00090957753,0.0067663756,0.00008616886,0.0004011084,0.01662163,0.958804,0.01199009],"study_design_scores_gemma":[0.000019049143,0.000009436847,0.0045755766,0.0002802379,0.000014499469,0.00013190534,0.01786474,0.00008673421,0.00024828766,0.0021539764,0.9746027,0.000012816523],"about_ca_topic_score_codex":0.33711404,"about_ca_topic_score_gemma":0.38303655,"teacher_disagreement_score":0.33711404,"about_ca_system_score_codex":0.011703683,"about_ca_system_score_gemma":0.016304336,"threshold_uncertainty_score":0.67030364},"labels":[],"label_agreement":null},{"id":"W1561966142","doi":"10.22004/ag.econ.116425","title":"Food QUALITY VERIFICATION: WHO DO CONSUMERS TRUST?","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Credence; Quality (philosophy); Credence good; Product (mathematics); Marketing; Business; Government (linguistics); Public economics; Willingness to pay; Economics; Microeconomics; Information asymmetry; Computer science","score_opus":0.04192422621182404,"score_gpt":0.2380319825392557,"score_spread":0.19610775632743166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561966142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630091,0.0012524485,0.0017304786,0.012730311,0.00004360491,0.000036242698,0.0002760429,0.00002153424,0.020900212],"genre_scores_gemma":[0.99791366,0.00028502615,0.00017006061,0.0006772409,0.000012071293,0.0000049982777,0.000045392826,0.0000035592336,0.000887997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987043,0.00043996822,0.00003971419,0.000109016255,0.00045107922,0.00025578504],"domain_scores_gemma":[0.98930013,0.004753209,0.0024598772,0.0007677226,0.0020301486,0.0006889294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002646474,0.00013876773,0.00035294564,0.00039984935,0.0009157111,0.0031019626,0.00025657454,0.0013741087,0.003634676],"category_scores_gemma":[0.016739225,0.00018799306,0.00022107296,0.00070044305,0.0019483272,0.0023573874,0.00045636963,0.0010059371,0.00043704017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060630793,0.00026735658,0.7627304,0.00027629914,0.00020073353,0.0005930281,0.06466579,0.00035270813,0.0028951757,0.012198094,0.010592038,0.14462212],"study_design_scores_gemma":[0.000057663652,0.00029061723,0.80362666,0.00022844248,0.00023088328,0.00062315864,0.13699277,0.0032102494,0.0014291141,0.014171647,0.039003834,0.0001349206],"about_ca_topic_score_codex":0.077858925,"about_ca_topic_score_gemma":0.06482521,"teacher_disagreement_score":0.077858925,"about_ca_system_score_codex":0.0023776735,"about_ca_system_score_gemma":0.0010188635,"threshold_uncertainty_score":0.15481144},"labels":[],"label_agreement":null},{"id":"W1562788856","doi":"10.22004/ag.econ.23871","title":"NAFTA and the Mobility of Highly Skilled Workers: The Case of Canadian Nurses","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Economic shortage; International trade; Business; Trade facilitation; International economics; Trade barrier; Labour economics; Economics; Political science; Demographic economics","score_opus":0.017468877042760858,"score_gpt":0.26054754587286066,"score_spread":0.24307866883009982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562788856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89017576,0.0023180286,0.00038977317,0.030303327,0.00016261882,0.00005970374,0.000071305105,0.000008224699,0.07651126],"genre_scores_gemma":[0.98651683,0.0015924799,0.00023357006,0.0025376638,0.000029995952,0.000021833406,0.000027635935,0.0000063920634,0.009033597],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99559575,0.0007203973,0.0000655733,0.00019227849,0.00052036037,0.002905615],"domain_scores_gemma":[0.99801147,0.00048502468,0.00031039183,0.00007249567,0.00037069517,0.00074990746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022754788,0.00037856516,0.00036711644,0.001672344,0.062108673,0.00479362,0.0017787828,0.0047468324,0.0037633732],"category_scores_gemma":[0.0059699984,0.00026296265,0.0005535466,0.0029786003,0.010972398,0.001650465,0.006487526,0.0040989034,0.00019578238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013277323,0.00011710159,0.07632682,0.00013783734,0.000039357514,0.016978554,0.7115358,0.00089308165,0.00080117345,0.13182203,0.01696761,0.044247817],"study_design_scores_gemma":[0.00001957944,0.000033479308,0.037295934,0.00026209597,0.000029156452,0.001456613,0.8350913,0.00039607062,0.00015504655,0.0034146667,0.12176422,0.00008188],"about_ca_topic_score_codex":0.9874844,"about_ca_topic_score_gemma":0.99348587,"teacher_disagreement_score":0.0741617,"about_ca_system_score_codex":0.0741617,"about_ca_system_score_gemma":0.09086994,"threshold_uncertainty_score":0.5380833},"labels":[],"label_agreement":null},{"id":"W1564096177","doi":"10.22004/ag.econ.36394","title":"AGRICULTURE IN CANADA: WHO WILL GROW THE FOOD?","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Subsidy; Business; Product (mathematics); Agricultural economics; Small farm; Government (linguistics); Economics; Geography; Market economy","score_opus":0.015092748883689269,"score_gpt":0.1654550073378946,"score_spread":0.1503622584542053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564096177","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0155361695,0.38478684,0.000495375,0.4284537,0.0043560667,0.000077983044,0.0033063998,0.00010034252,0.16288713],"genre_scores_gemma":[0.23991063,0.58929056,0.0022857152,0.06566714,0.00076412625,0.0000777781,0.0024447353,0.00009032413,0.09946901],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975969,0.00017680827,0.000066504224,0.00021402638,0.0010269121,0.00091885036],"domain_scores_gemma":[0.9947371,0.00031379168,0.0001952845,0.00004947917,0.0030509266,0.0016534833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019494569,0.00050801825,0.0005190888,0.0017357375,0.008491994,0.008712459,0.0012838274,0.0023625316,0.010889661],"category_scores_gemma":[0.003576559,0.00024798454,0.00040169925,0.006926489,0.0038726323,0.0033208241,0.001480055,0.0031507113,0.0016001116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001049018,0.000044559416,0.017492088,0.0036548842,0.000046978294,0.00096399826,0.006896978,0.0002560469,0.0006633293,0.044273753,0.5768101,0.34879246],"study_design_scores_gemma":[0.000008925637,0.000022914637,0.035757273,0.0027998933,0.000049462586,0.000251916,0.019731272,0.00013058889,0.00014449815,0.004335259,0.9367063,0.00006160399],"about_ca_topic_score_codex":0.99325246,"about_ca_topic_score_gemma":0.996837,"teacher_disagreement_score":0.11655182,"about_ca_system_score_codex":0.11655182,"about_ca_system_score_gemma":0.25252363,"threshold_uncertainty_score":0.84564656},"labels":[],"label_agreement":null},{"id":"W1564318602","doi":"10.22004/ag.econ.273741","title":"Acquisitions as a Response to Deregulation: Evidence from the Cable Television Industry","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"License; Counterfactual thinking; Deregulation; Economies of scale; Industrial organization; Economies of agglomeration; Profit (economics); Business; Mergers and acquisitions; Microeconomics; Economics; Econometrics; Finance; Market economy; Computer science","score_opus":0.05626202605312221,"score_gpt":0.2794544844227581,"score_spread":0.22319245836963592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564318602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964546,0.00032560038,0.00021337454,0.00031408895,0.0000031224947,0.000009919776,0.00018434635,0.00000844138,0.0024865076],"genre_scores_gemma":[0.9986588,0.0002885135,0.00006816848,0.000055272107,0.00000929148,0.0000037960785,0.00024308737,0.0000028987233,0.0006701819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991862,0.00026834966,0.000050042534,0.00014566952,0.0001943799,0.00015538251],"domain_scores_gemma":[0.9802508,0.010324507,0.006694483,0.0008136361,0.00097254344,0.00094395905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014032673,0.00018759715,0.00028145924,0.0009253024,0.0005309848,0.0016004186,0.0006128308,0.0011893671,0.003490609],"category_scores_gemma":[0.013896536,0.00021434015,0.00028649028,0.0010833797,0.0011072651,0.0013290403,0.0008101754,0.0010400807,0.00053515966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007874761,0.0005260475,0.96449697,0.00008536318,0.00012699245,0.0004051183,0.0015540639,0.0076038726,0.0012397511,0.003543512,0.001493411,0.018137434],"study_design_scores_gemma":[0.000060767656,0.0002533882,0.9818424,0.000024305727,0.000072224786,0.00016439173,0.0030199594,0.010128426,0.0008242319,0.0011915189,0.0023876326,0.000030823463],"about_ca_topic_score_codex":0.06104332,"about_ca_topic_score_gemma":0.066827804,"teacher_disagreement_score":0.06104332,"about_ca_system_score_codex":0.001535029,"about_ca_system_score_gemma":0.00065261626,"threshold_uncertainty_score":0.12137604},"labels":[],"label_agreement":null},{"id":"W1566635823","doi":"10.22004/ag.econ.44403","title":"British Columbia Consumers' Preferences for Italian Wines: Reputation and Vintage Effects on Wine Quality and Prices","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vintage; Wine; Hedonic pricing; Reputation; Consumption (sociology); Agricultural economics; Price premium; Quality (philosophy); Population; Economics; Business; Advertising; Geography; Willingness to pay; Food science; Demography; Econometrics; Microeconomics; Political science; Art","score_opus":0.046013645419275065,"score_gpt":0.2577572953399874,"score_spread":0.21174364992071237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566635823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99569404,0.00011032357,0.000037350845,0.00010555709,0.0000032087455,0.0000081093085,0.0003376022,0.000004256873,0.0036994638],"genre_scores_gemma":[0.9929264,0.00016667966,0.00010217015,0.000051251547,0.0000022176644,0.0000062654344,0.0006151916,0.0000059244403,0.0061238315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978846,0.00004207305,0.000005400852,0.000035282457,0.00007497222,0.000053814252],"domain_scores_gemma":[0.99883527,0.00028355504,0.00015488062,0.00009574288,0.00036119614,0.00026941762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005175287,0.0003103642,0.00024414086,0.00047359106,0.001028889,0.0011254878,0.00040506222,0.00028149653,0.006600519],"category_scores_gemma":[0.0021847822,0.0001956941,0.00028611525,0.0010566033,0.00047312945,0.00016459143,0.00033136675,0.00052527036,0.0006193432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001140051,0.00047668334,0.95678884,0.000038873586,0.00013647454,0.00026288826,0.0019350533,0.0008456427,0.0025859617,0.00035710668,0.008804512,0.026627913],"study_design_scores_gemma":[0.000013444578,0.000024598903,0.9975974,0.000008331894,0.000029504894,0.000019423198,0.00068283133,0.00051332905,0.000115281146,0.000033002816,0.0009538109,0.00000903671],"about_ca_topic_score_codex":0.9597685,"about_ca_topic_score_gemma":0.9853775,"teacher_disagreement_score":0.040231526,"about_ca_system_score_codex":0.006791688,"about_ca_system_score_gemma":0.0028711462,"threshold_uncertainty_score":0.08093685},"labels":[],"label_agreement":null},{"id":"W1567381720","doi":"10.22004/ag.econ.18098","title":"A COMPARATIVE ANALYSIS OF PRODUCTIVITY AND COMPETITIVENESS IN AGRI-FOOD PROCESSING IN CANADA AND THE UNITED STATES","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Value (mathematics); Business; Food sector; Food industry; Food processing; Industrial organization; Economics; Economic geography; International trade; Agricultural economics; Agriculture; Geography; Economic growth; Political science; Mathematics","score_opus":0.03327216730649505,"score_gpt":0.22458074519829832,"score_spread":0.19130857789180328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567381720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9548237,0.004025683,0.0005045689,0.00093966,0.00002884482,0.000020900608,0.0025043003,0.0000358052,0.037116654],"genre_scores_gemma":[0.99455935,0.0012595921,0.00024886336,0.000045604724,0.000005273484,0.0000040227587,0.0010114353,0.000007467122,0.0028583638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990945,0.000035494973,0.000014935499,0.000080668426,0.00040236823,0.0003721468],"domain_scores_gemma":[0.9984994,0.00008983344,0.0001064657,0.000019775649,0.0010157842,0.00026874588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005245801,0.0002878266,0.00029633488,0.004536457,0.002214799,0.0026189436,0.0005314284,0.00023355859,0.0021588267],"category_scores_gemma":[0.0018769534,0.00013287483,0.0004745027,0.012031047,0.0008141804,0.00059655134,0.0006772856,0.00043727626,0.00015304842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006106653,0.000112357215,0.8096533,0.000311454,0.0003849977,0.00078262057,0.0036991567,0.008889163,0.0018260045,0.032529406,0.010177411,0.13102339],"study_design_scores_gemma":[0.000007731348,0.000027749593,0.98200524,0.000053253338,0.000059332688,0.000056677774,0.0041978094,0.0016974558,0.0004493827,0.0005637877,0.010856193,0.000025371908],"about_ca_topic_score_codex":0.99293387,"about_ca_topic_score_gemma":0.9954423,"teacher_disagreement_score":0.04499912,"about_ca_system_score_codex":0.04499912,"about_ca_system_score_gemma":0.040495582,"threshold_uncertainty_score":0.32649302},"labels":[],"label_agreement":null},{"id":"W1568162700","doi":"10.22004/ag.econ.169527","title":"Milk Pricing Problems and Solutions: An Essay on the Need for New State Level Milk Price Regulation in the Northeast, with Special Attention to Connecticut Substitute Bill No. 5642","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Economics; Business; Computer science","score_opus":0.08114756165694717,"score_gpt":0.21676815725762344,"score_spread":0.13562059560067627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568162700","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013649691,0.15870897,0.003710958,0.7348003,0.022056859,0.000018275521,0.000121681616,0.00006291393,0.07915506],"genre_scores_gemma":[0.08385693,0.2172416,0.008885146,0.35968825,0.07059363,0.0001704056,0.00026345055,0.00033792946,0.25896263],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984831,0.0005047919,0.00007324003,0.00025596362,0.00052066724,0.00016231432],"domain_scores_gemma":[0.9974099,0.001578458,0.00015585612,0.00014502375,0.000547742,0.00016294296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034881847,0.0009172086,0.0006049665,0.0014617332,0.0026948482,0.0055415076,0.0014533347,0.008082964,0.0066063176],"category_scores_gemma":[0.007045241,0.000585353,0.0005975321,0.002661148,0.008884047,0.0098341545,0.0019492046,0.009089078,0.0014098986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009424233,0.000023994171,0.00023335897,0.00006516503,0.00000883027,0.000062324165,0.0006911607,0.0007222601,0.00007282488,0.38798898,0.5881588,0.021962853],"study_design_scores_gemma":[0.000008686908,0.000008855793,0.000880607,0.00051439623,0.000006564762,0.000054470132,0.0006333771,0.00061396393,0.000046583977,0.18456767,0.8126383,0.000026674656],"about_ca_topic_score_codex":0.042100783,"about_ca_topic_score_gemma":0.05699955,"teacher_disagreement_score":0.042100783,"about_ca_system_score_codex":0.009986322,"about_ca_system_score_gemma":0.0067774532,"threshold_uncertainty_score":0.083711445},"labels":[],"label_agreement":null},{"id":"W1569485042","doi":"10.22004/ag.econ.102014","title":"The Simple Economics of Hog Marketing Reforms in Quebec","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Simple (philosophy); Economics; Marketing; Public economics; Business; Epistemology; Philosophy","score_opus":0.022319526213126717,"score_gpt":0.21585647571908037,"score_spread":0.19353694950595365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569485042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6267148,0.006084955,0.003026138,0.02944691,0.00016989664,0.00026415347,0.0048856046,0.00011761204,0.32928988],"genre_scores_gemma":[0.9683461,0.0008903053,0.00028433758,0.00082266476,0.000038445367,0.000017582997,0.00014354034,0.0000076559045,0.029449318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990165,0.00018724127,0.000018736977,0.00008411214,0.00015894022,0.00053441094],"domain_scores_gemma":[0.99812084,0.0006673168,0.00021085504,0.00008141359,0.00056185666,0.0003577207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000829917,0.00031133005,0.0004959355,0.0009292233,0.0024632365,0.0054931235,0.0008796326,0.0019196102,0.019129],"category_scores_gemma":[0.0033907485,0.00026379383,0.00043685336,0.0019018621,0.0017312841,0.0020447732,0.00064452447,0.0013314285,0.00033828034],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042392296,0.00028676473,0.030629318,0.0001838643,0.00017693493,0.0008052251,0.0006788838,0.04908465,0.0009325119,0.8482052,0.038833123,0.029759472],"study_design_scores_gemma":[0.0007146273,0.00045086045,0.27613974,0.0005012268,0.0005978379,0.00027429467,0.008454844,0.17420869,0.0013499359,0.2685362,0.2684302,0.00034156517],"about_ca_topic_score_codex":0.9725257,"about_ca_topic_score_gemma":0.9845781,"teacher_disagreement_score":0.069682814,"about_ca_system_score_codex":0.069682814,"about_ca_system_score_gemma":0.023922058,"threshold_uncertainty_score":0.50558656},"labels":[],"label_agreement":null},{"id":"W1570192492","doi":"10.22004/ag.econ.28020","title":"THE DYNAMICS OF INCOME AND EMPLOYMENT IN RURAL CANADA: THE RISK OF POVERTY AND EXCLUSION","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poverty; Social exclusion; Economics; Demographic economics; Labour economics; Development economics; Economic growth","score_opus":0.011374208706969717,"score_gpt":0.19785102072975927,"score_spread":0.18647681202278954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570192492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97891927,0.0015521022,0.00022787612,0.009231325,0.00001794245,0.000020319754,0.0020096712,0.000014054921,0.008007448],"genre_scores_gemma":[0.99379647,0.001035084,0.00009566163,0.00014494594,0.000008748681,0.0000054407546,0.0002759508,0.0000071230875,0.0046304986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992889,0.00006145657,0.000015197271,0.000050533326,0.0001242697,0.0004595203],"domain_scores_gemma":[0.9971987,0.00053884805,0.00036825918,0.000059771653,0.0007884868,0.001045902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007644508,0.00023010577,0.00046050578,0.0014341834,0.0051863906,0.0045132423,0.0013121495,0.0012676663,0.005096587],"category_scores_gemma":[0.00549971,0.0002790087,0.00038666968,0.0043863975,0.00223986,0.0012657613,0.0019920461,0.0016725066,0.00026066316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043592654,0.00022365249,0.89115846,0.00007098323,0.000118025746,0.00075595675,0.009548414,0.011886871,0.0005438439,0.038908526,0.012109748,0.034239583],"study_design_scores_gemma":[0.000030469902,0.000048139154,0.92287815,0.00010079239,0.00007758231,0.00023250832,0.02692849,0.020554336,0.00021112802,0.013998591,0.0148465345,0.00009324093],"about_ca_topic_score_codex":0.9963511,"about_ca_topic_score_gemma":0.9974794,"teacher_disagreement_score":0.05067003,"about_ca_system_score_codex":0.05067003,"about_ca_system_score_gemma":0.052661303,"threshold_uncertainty_score":0.36763853},"labels":[],"label_agreement":null},{"id":"W1571185058","doi":"10.22004/ag.econ.45987","title":"Effectiveness of Best Management Cropping Systems to Abate Greenhouse Gas Emissions","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Carbon sequestration; Tillage; Cropping; Agriculture; Carbon dioxide; Agronomy; Ecology","score_opus":0.01450921226291624,"score_gpt":0.21681028365326518,"score_spread":0.20230107139034895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571185058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497717,0.0019301263,0.0027256017,0.0010221772,0.000021681963,0.00016044897,0.0002536906,0.00006349382,0.04405099],"genre_scores_gemma":[0.99433076,0.0007741827,0.003238055,0.00005850019,0.000008125669,0.0000244592,0.000070903334,0.0000052050073,0.0014897665],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999257,0.0002317725,0.000028168215,0.00008361103,0.00030776928,0.00009167807],"domain_scores_gemma":[0.9988475,0.00034177178,0.00034986113,0.000084850486,0.00022744924,0.00014863392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011842089,0.00028060263,0.00017813843,0.00043491565,0.0005273718,0.00072104105,0.00043637765,0.00034783807,0.0015462545],"category_scores_gemma":[0.0031393676,0.0000775373,0.0001296113,0.00041465077,0.00033146123,0.00062416325,0.0003263496,0.00011421699,0.00012002483],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015913609,0.0017768277,0.13300234,0.0011685381,0.00025766663,0.0002845399,0.0008527983,0.041549403,0.040074024,0.009852117,0.0053844084,0.764206],"study_design_scores_gemma":[0.00045292356,0.004200735,0.8111951,0.00046334934,0.00057655544,0.00042195676,0.0024371976,0.06420335,0.029748155,0.011193583,0.07502783,0.00007939793],"about_ca_topic_score_codex":0.053176202,"about_ca_topic_score_gemma":0.20342387,"teacher_disagreement_score":0.053176202,"about_ca_system_score_codex":0.0045260526,"about_ca_system_score_gemma":0.0038220065,"threshold_uncertainty_score":0.105733335},"labels":[],"label_agreement":null},{"id":"W1574823762","doi":"10.22004/ag.econ.23905","title":"The Canadian Wheat Board: Government Guarantees and Hidden Subsidies? Technical Annex","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Government (linguistics); Business; International trade; International economics; Economics; Market economy","score_opus":0.01597852106070288,"score_gpt":0.19049917871524497,"score_spread":0.17452065765454208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574823762","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058226064,0.030701093,0.004115045,0.14408891,0.006932535,0.000950655,0.04018915,0.0006097982,0.7665902],"genre_scores_gemma":[0.12576142,0.038861793,0.012007742,0.04095129,0.002500051,0.0010914011,0.024209134,0.000578018,0.75403917],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9905104,0.00064654025,0.00034124972,0.00049652817,0.006038525,0.0019667328],"domain_scores_gemma":[0.987359,0.0031115147,0.00091147795,0.00057008484,0.007263745,0.0007841438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006207743,0.0009437815,0.00071189593,0.004421003,0.0076967436,0.008949531,0.0024873707,0.00905582,0.07662093],"category_scores_gemma":[0.019811014,0.0011867774,0.0007722394,0.010886112,0.0021420636,0.0042481134,0.0014015556,0.004566233,0.00881048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019175955,0.0000136812705,0.0005399416,0.00015461033,0.0000060020607,0.00006891415,0.00034855833,0.00025072932,0.0000881877,0.09913967,0.8852156,0.014154954],"study_design_scores_gemma":[0.00002360195,0.000008093634,0.0065970025,0.00047439907,0.000012898091,0.000032564072,0.0005550118,0.00025573332,0.00018581729,0.009132616,0.9826629,0.000059321992],"about_ca_topic_score_codex":0.96513945,"about_ca_topic_score_gemma":0.96815956,"teacher_disagreement_score":0.07662093,"about_ca_system_score_codex":0.050722215,"about_ca_system_score_gemma":0.117448084,"threshold_uncertainty_score":0.36801714},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.014431352622379202,"score_gpt":0.19282767439850845,"score_spread":0.17839632177612924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577559855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5277536,0.07148793,0.00081598584,0.020742334,0.0003903488,0.000025207153,0.0035920483,0.00009261885,0.37509987],"genre_scores_gemma":[0.87759715,0.06887079,0.00093575445,0.0039180988,0.0002413324,0.000026903643,0.0017343507,0.000037020145,0.04663854],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99958545,0.00005960275,0.0000125649885,0.000062489715,0.00017298153,0.00010693612],"domain_scores_gemma":[0.9989581,0.0001939334,0.00039707898,0.000028834866,0.00033645934,0.000085670275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005536737,0.00022064739,0.0001408937,0.0013887429,0.0010946816,0.0030991843,0.0002663595,0.0004680625,0.0056217825],"category_scores_gemma":[0.0017774674,0.00011693873,0.00015267426,0.00393591,0.0007327498,0.0009652578,0.00059605093,0.0005571048,0.00038823485],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005166503,0.00043109202,0.1269419,0.00096558704,0.00018424387,0.0007226997,0.0055560824,0.0057232473,0.0024873612,0.3159516,0.12941617,0.41110334],"study_design_scores_gemma":[0.000020221636,0.00004827511,0.38930854,0.00043390374,0.00008136165,0.00016190806,0.0040199673,0.0006618974,0.0014734609,0.012153451,0.5915908,0.000046192446],"about_ca_topic_score_codex":0.27637258,"about_ca_topic_score_gemma":0.39387825,"teacher_disagreement_score":0.27637258,"about_ca_system_score_codex":0.0060664825,"about_ca_system_score_gemma":0.003933927,"threshold_uncertainty_score":0.5495278},"labels":[],"label_agreement":null},{"id":"W1580965705","doi":"10.22004/ag.econ.18105","title":"AN UPDATE ON THE CANADIAN HOME MEAL REPLACEMENT MARKET","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meal; Agribusiness; Business; Agricultural science; Agricultural economics; Food science; Advertising; Economics; Biology; Agriculture; Ecology","score_opus":0.03115084517130432,"score_gpt":0.19084327804934423,"score_spread":0.1596924328780399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580965705","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012870416,0.24641412,0.0021727872,0.10654801,0.043937948,0.0002774134,0.0676951,0.0010308977,0.5190534],"genre_scores_gemma":[0.0720927,0.24591097,0.00581897,0.030142233,0.012396581,0.0001417827,0.049857598,0.00057695166,0.58306223],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99775046,0.00007330923,0.000090574045,0.000105358406,0.0016063432,0.0003739015],"domain_scores_gemma":[0.99004513,0.0004938874,0.00019630877,0.00018623703,0.0082662245,0.00081229716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022593539,0.0011831034,0.00084578164,0.007652378,0.002227639,0.004745675,0.0021309413,0.0019565849,0.03928329],"category_scores_gemma":[0.005876086,0.00031623995,0.0006864183,0.013821651,0.00095171743,0.0028633073,0.00080122263,0.0019416912,0.0067764902],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040412837,0.000021331234,0.0007669335,0.00016967855,0.0000062896934,0.00006894145,0.000064983265,0.00020949685,0.00007540376,0.0028021361,0.9293346,0.0664397],"study_design_scores_gemma":[0.0000052124687,0.0000068683826,0.0031107045,0.00013214072,0.000006476032,0.00003587693,0.000099333345,0.00007405527,0.000043279968,0.00023247575,0.9962386,0.0000149563575],"about_ca_topic_score_codex":0.9492253,"about_ca_topic_score_gemma":0.97670776,"teacher_disagreement_score":0.050774693,"about_ca_system_score_codex":0.030240746,"about_ca_system_score_gemma":0.054200035,"threshold_uncertainty_score":0.21941298},"labels":[],"label_agreement":null},{"id":"W1581878250","doi":"10.22004/ag.econ.44154","title":"Using Retail Scanner Data to Assess the Demand for Value-based Ground Meat Products in Canada","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Consumption (sociology); Value (mathematics); Consumer demand; Agricultural economics; Retail market; Retail sales; Marketing; Agricultural science; Economics; Microeconomics; Environmental science; Mathematics","score_opus":0.18941612663904486,"score_gpt":0.2461315467108922,"score_spread":0.05671542007184735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581878250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9605944,0.00015843715,0.00055267836,0.00009582975,0.000005037658,0.00005942935,0.034510233,0.00006132461,0.003962512],"genre_scores_gemma":[0.96229994,0.00020909478,0.0016771526,0.000042418807,0.0000029997839,0.000041911702,0.032622017,0.000018580637,0.0030859238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991571,0.000048216738,0.00004513795,0.000107019005,0.0004448337,0.00019769502],"domain_scores_gemma":[0.9969324,0.00032368104,0.00038089804,0.00010892325,0.0020660334,0.00018809034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052688597,0.00036571344,0.0003046014,0.0028677448,0.0009245719,0.00089516386,0.00078640337,0.00026150627,0.0025232525],"category_scores_gemma":[0.003039706,0.0003072213,0.0005096195,0.0070262556,0.00029521258,0.00036185625,0.0004927177,0.0003236089,0.00042999946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010404371,0.00006205272,0.9771105,0.000070126975,0.00010549446,0.00010006816,0.0004336205,0.002866464,0.0006158336,0.0003889693,0.0042549535,0.013887857],"study_design_scores_gemma":[0.000011621479,0.000029304823,0.98443085,0.000015055742,0.000035928762,0.000050251754,0.00094250933,0.008609423,0.00052371697,0.00006601489,0.00526003,0.000025400643],"about_ca_topic_score_codex":0.99474204,"about_ca_topic_score_gemma":0.99663335,"teacher_disagreement_score":0.01684084,"about_ca_system_score_codex":0.01684084,"about_ca_system_score_gemma":0.014203511,"threshold_uncertainty_score":0.1221894},"labels":[],"label_agreement":null},{"id":"W1582185868","doi":"10.22004/ag.econ.7711","title":"Promotion and Fast Food Demand: Where's the Beef?","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":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Almost ideal demand system; Economics; Consumer demand; Business; Agricultural economics; Marketing; Microeconomics; Production (economics)","score_opus":0.025701745227363057,"score_gpt":0.1921763150768508,"score_spread":0.16647456984948772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582185868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96323365,0.00768916,0.0027864191,0.018269062,0.00007221857,0.000017932549,0.00080608105,0.0000168998,0.0071086287],"genre_scores_gemma":[0.9956605,0.0017931033,0.00039145965,0.00030416253,0.000058564514,0.0000032557734,0.00022226092,0.000004788814,0.0015619087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970645,0.00009977384,0.000006410319,0.000042162785,0.00004430462,0.00010083852],"domain_scores_gemma":[0.9985336,0.0008099541,0.0002845501,0.000049222454,0.00013196426,0.00019065297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063739746,0.00021709045,0.00041883803,0.00040281995,0.00053940533,0.0023493145,0.00042233974,0.0011514868,0.005895706],"category_scores_gemma":[0.0025848376,0.00023465743,0.0004186324,0.0011197601,0.0013776919,0.0013649155,0.00044316798,0.0013670614,0.00038876463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008433412,0.00041216725,0.89336234,0.00027675397,0.00021790186,0.00029293165,0.0016278973,0.015406853,0.0009732659,0.025311071,0.0051668696,0.056108553],"study_design_scores_gemma":[0.00014756998,0.00045574855,0.84462196,0.0005682522,0.0005848772,0.00028306062,0.013789073,0.06872089,0.0010770026,0.043880306,0.025720866,0.0001504263],"about_ca_topic_score_codex":0.3751964,"about_ca_topic_score_gemma":0.33610296,"teacher_disagreement_score":0.3751964,"about_ca_system_score_codex":0.0029709125,"about_ca_system_score_gemma":0.0018374727,"threshold_uncertainty_score":0.746025},"labels":[],"label_agreement":null},{"id":"W1582404113","doi":"10.22004/ag.econ.121123","title":"Impacts of Trade Liberalization on the New York Horticultural Sector","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Free trade; Liberalization; International economics; International trade; Business; Agricultural economics; Market economy","score_opus":0.046021335873146475,"score_gpt":0.200587644443895,"score_spread":0.15456630857074855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582404113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89911056,0.003049646,0.00034025882,0.009117377,0.00015779516,0.000052575644,0.0012152463,0.000051247553,0.08690521],"genre_scores_gemma":[0.97182167,0.0035095683,0.00021451239,0.0010710584,0.00006797269,0.000033279106,0.0009170111,0.000013068478,0.022351906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993685,0.0000998669,0.000020303089,0.000060529484,0.00016226826,0.00028857068],"domain_scores_gemma":[0.9985077,0.00038790418,0.00037546497,0.000062923755,0.00038491804,0.0002811242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007931432,0.00020256083,0.00022173984,0.0007118878,0.0014502599,0.0030497422,0.00034667572,0.0007932422,0.012095991],"category_scores_gemma":[0.002261172,0.0001715444,0.00030996796,0.0011499455,0.0010977654,0.0013482145,0.0015307873,0.00094949116,0.0005263045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005298955,0.001727686,0.38132364,0.0009171262,0.0002840817,0.008239472,0.005579036,0.04343829,0.028142028,0.18170224,0.11642921,0.22691825],"study_design_scores_gemma":[0.0003338975,0.0005244151,0.7213649,0.00032123932,0.00017211109,0.0003340848,0.017295469,0.011631329,0.0112491185,0.02039416,0.21626286,0.00011633241],"about_ca_topic_score_codex":0.33641076,"about_ca_topic_score_gemma":0.42575777,"teacher_disagreement_score":0.33641076,"about_ca_system_score_codex":0.010475302,"about_ca_system_score_gemma":0.006315577,"threshold_uncertainty_score":0.66890526},"labels":[],"label_agreement":null},{"id":"W1583700862","doi":"10.22004/ag.econ.116847","title":"The New Food Safety Regime in the US: How Will it Affect Canadian Competitiveness","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food safety; Legislation; Business; Disadvantaged; Modernization theory; International trade; Food and drug administration; Economic policy; Public economics; Industrial organization; Economics; Economic growth; Risk analysis (engineering); Political science; Law","score_opus":0.044060472120441486,"score_gpt":0.19877924956123239,"score_spread":0.1547187774407909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583700862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5216095,0.006214435,0.00063889753,0.15828957,0.0007941804,0.000114169576,0.0017527117,0.00007270013,0.3105139],"genre_scores_gemma":[0.9562079,0.0039978614,0.0005528996,0.008164573,0.00009144817,0.000019705905,0.00041950177,0.00003475032,0.030511346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968575,0.0001683859,0.000042275824,0.00018539096,0.00082082296,0.0019256488],"domain_scores_gemma":[0.9969145,0.0001801031,0.00023290273,0.00005792787,0.0016533141,0.0009611844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018419403,0.00033553704,0.00040110614,0.001717073,0.012367215,0.011003448,0.0016917904,0.002736251,0.011145328],"category_scores_gemma":[0.0055257548,0.00021147524,0.00078880164,0.0037556207,0.0039128773,0.003049783,0.0023019502,0.002193832,0.0006180945],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006140811,0.00032237347,0.1871454,0.00044238265,0.0001265302,0.0014973213,0.020304529,0.0033594314,0.003115339,0.44677258,0.15972415,0.17657596],"study_design_scores_gemma":[0.000095016905,0.00021757574,0.33340594,0.00045477535,0.00021902328,0.00026992054,0.099217206,0.0025920477,0.001702421,0.020626573,0.5408349,0.00036461692],"about_ca_topic_score_codex":0.99581486,"about_ca_topic_score_gemma":0.9974808,"teacher_disagreement_score":0.15641552,"about_ca_system_score_codex":0.15641552,"about_ca_system_score_gemma":0.18889832,"threshold_uncertainty_score":0.97843844},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Debt; Restructuring; Liberian dollar; Business; Finance; Agriculture; Stock market; Agricultural economics; Economics; Geography","score_opus":0.013795389485229527,"score_gpt":0.18332900734645158,"score_spread":0.16953361786122206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583982614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97913647,0.00013506411,0.000031827847,0.0010194383,0.000009243866,0.000019505967,0.00020948285,0.0000045954407,0.019434394],"genre_scores_gemma":[0.98133147,0.00027085867,0.00005358178,0.00035712315,0.0000055814485,0.000015346312,0.00030136635,0.0000044306094,0.017660258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992993,0.00007928284,0.000026309486,0.00006866255,0.00019143271,0.0003350358],"domain_scores_gemma":[0.99654347,0.00031031147,0.00096257747,0.000100426914,0.00058517675,0.0014980194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080779643,0.00017169853,0.0001497187,0.0010823512,0.0029756862,0.0043336987,0.00075739436,0.00053028454,0.009082569],"category_scores_gemma":[0.0023436586,0.00020438216,0.00012356625,0.0019629558,0.0013700298,0.0013899124,0.0024362204,0.0010501897,0.0010578214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073847367,0.0006393584,0.8770062,0.000070435475,0.000107542415,0.0028254013,0.017780736,0.0013329256,0.0026234013,0.01111846,0.026728412,0.059028603],"study_design_scores_gemma":[0.000027525377,0.00015047155,0.93887335,0.00006119131,0.000020311585,0.00017706038,0.03857942,0.000745766,0.0005823551,0.0008535499,0.019883629,0.000045413195],"about_ca_topic_score_codex":0.48289943,"about_ca_topic_score_gemma":0.8341112,"teacher_disagreement_score":0.5171006,"about_ca_system_score_codex":0.010329059,"about_ca_system_score_gemma":0.01055117,"threshold_uncertainty_score":0.9601773},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Environmental economics; Agriculture; Environmental resource management; Business; Cash flow; Scale (ratio); Economics; Ecology; Accounting; Geography","score_opus":0.03221604698608414,"score_gpt":0.2649905028318258,"score_spread":0.23277445584574163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584199316","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013404424,0.00040766448,0.9197299,0.0005371228,0.00014428482,0.00043528504,0.0051471707,0.016221397,0.043972775],"genre_scores_gemma":[0.23507978,0.0009670662,0.7400072,0.00038096026,0.00007832448,0.0014818064,0.006661239,0.0017473964,0.013596134],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99786025,0.000889444,0.00017393912,0.00021745438,0.00075087254,0.00010808667],"domain_scores_gemma":[0.99744654,0.0014500543,0.00021984153,0.00032518522,0.00047547987,0.000082931925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034819103,0.00126038,0.00086660136,0.0037956815,0.0005123228,0.0033371479,0.00090553495,0.00092369795,0.015224424],"category_scores_gemma":[0.006715714,0.00042020212,0.0013653965,0.00247331,0.0006737004,0.003563843,0.002551358,0.0011047412,0.0033050303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032853862,0.000307643,0.011553442,0.0020271663,0.00033059463,0.0005292599,0.0011813215,0.18163359,0.014027209,0.16138802,0.057049852,0.5696434],"study_design_scores_gemma":[0.00009754396,0.0007310643,0.011898262,0.0007816928,0.00027773064,0.001000685,0.0016799917,0.39454427,0.017885074,0.21768758,0.3530714,0.00034470749],"about_ca_topic_score_codex":0.0014515242,"about_ca_topic_score_gemma":0.0018209224,"teacher_disagreement_score":0.015224424,"about_ca_system_score_codex":0.00078519405,"about_ca_system_score_gemma":0.001472831,"threshold_uncertainty_score":0.050930798},"labels":[],"label_agreement":null},{"id":"W1585777854","doi":"10.22004/ag.econ.6258","title":"Impact of EPA's Voluntary 33/50 Program on Pollution Prevention Adoption and Toxic Releases","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pollution prevention; Endogeneity; Business; Turnover; Pollution; Program evaluation; Environmental health; Environmental science; Operations management; Engineering; Economics; Waste management; Medicine; Political science; Econometrics","score_opus":0.050516019412023314,"score_gpt":0.2817491980858889,"score_spread":0.23123317867386556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585777854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99113095,0.000060342056,0.00043317076,0.00042084005,0.000007531145,0.0000989377,0.00039651903,0.000030476394,0.0074212444],"genre_scores_gemma":[0.9966086,0.000057865163,0.00042840707,0.00017302649,0.000010588842,0.00010568267,0.00033920136,0.000004213188,0.0022725468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941836,0.0024206697,0.00020139175,0.00043512587,0.0018170967,0.00094221556],"domain_scores_gemma":[0.9739414,0.011588228,0.009277057,0.0016919993,0.0018845013,0.0016167882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048471047,0.00015015191,0.00020028789,0.000606946,0.00064870086,0.00085898896,0.00080241193,0.0005916841,0.0031766423],"category_scores_gemma":[0.014572947,0.00016620479,0.00032857584,0.0009718603,0.0004591232,0.00040675432,0.0011399748,0.00067845715,0.00018843435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001308387,0.00553581,0.8250065,0.00026612537,0.0002906398,0.00031493086,0.0014585912,0.004573117,0.006951475,0.0058615133,0.0053951484,0.14303778],"study_design_scores_gemma":[0.000028437697,0.00090479036,0.99220896,0.000025837808,0.000047407982,0.000044821798,0.00066738215,0.0009952371,0.0012312126,0.00023472784,0.0035993042,0.000012045171],"about_ca_topic_score_codex":0.02916231,"about_ca_topic_score_gemma":0.04348273,"teacher_disagreement_score":0.02916231,"about_ca_system_score_codex":0.0015493097,"about_ca_system_score_gemma":0.003545993,"threshold_uncertainty_score":0.057985127},"labels":[],"label_agreement":null},{"id":"W1589902671","doi":"10.22004/ag.econ.55322","title":"European Union Agricultural Policy Institutions and Decision Making Processes","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Parliament; European union; Agriculture; Agricultural policy; Negotiation; Council of Ministers; Common Agricultural Policy; Economic policy; Commission; International trade; Political science; Business; Public administration; Politics; Finance; Geography; Law","score_opus":0.047769629472376944,"score_gpt":0.25967755478137383,"score_spread":0.21190792530899688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589902671","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015963094,0.014285711,0.045684308,0.028509839,0.0010972021,0.00045036786,0.00083659886,0.00039467964,0.8927783],"genre_scores_gemma":[0.7276386,0.017864596,0.08803509,0.010787152,0.0010057967,0.0011970234,0.0021482015,0.00045711818,0.15086639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.97055805,0.01526805,0.0020007403,0.0035151881,0.0063875555,0.0022704224],"domain_scores_gemma":[0.9768565,0.015109797,0.0018521113,0.002441284,0.0030266966,0.00071356754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03969135,0.0008782265,0.00089394,0.0030697186,0.0033961218,0.019278564,0.002256972,0.006273867,0.015900064],"category_scores_gemma":[0.053456698,0.00067930017,0.0009954429,0.0061711557,0.006250105,0.0064695803,0.0056046573,0.0031012,0.003019811],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027397986,0.00002089121,0.00030296383,0.00006960934,0.000018923234,0.00005557108,0.000601085,0.0019848521,0.000034676934,0.96495396,0.009618254,0.022311877],"study_design_scores_gemma":[0.00005522978,0.00002363551,0.0008364254,0.00059466524,0.000021403283,0.000056704423,0.00064528175,0.0018659197,0.00022528763,0.5599092,0.43573684,0.000029477573],"about_ca_topic_score_codex":0.010246566,"about_ca_topic_score_gemma":0.0033812548,"teacher_disagreement_score":0.03969135,"about_ca_system_score_codex":0.011449238,"about_ca_system_score_gemma":0.015315154,"threshold_uncertainty_score":0.2099104},"labels":[],"label_agreement":null},{"id":"W1590017995","doi":"10.22004/ag.econ.122234","title":"The impact of management skills on farm incomes in Canada","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Banking, Crisis Management, COVID-19 Impact","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hectare; Subsidy; Revenue; Agricultural economics; Net farm income; Business; Farm income; Agriculture; Depreciation (economics); Economics; Stock (firearms); Labour economics; Production (economics); Agricultural science; Finance; Capital formation; Economic growth; Market economy; Financial capital; Human capital; Geography","score_opus":0.015480872954133794,"score_gpt":0.24277871920461697,"score_spread":0.22729784625048316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590017995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879995,0.00032691954,0.000039112423,0.0011510499,0.000010572401,0.000009923103,0.0014576146,0.0000093914505,0.008995772],"genre_scores_gemma":[0.99759775,0.00020813143,0.000033690805,0.00005888369,0.0000028958561,0.0000024291223,0.0003775526,0.0000025331778,0.0017161907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993075,0.00004277856,0.000014769192,0.00004454231,0.00022616655,0.000364201],"domain_scores_gemma":[0.9973308,0.00017470808,0.000421315,0.00003881275,0.0011152686,0.0009190237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038016477,0.00013381218,0.00016899307,0.0009435131,0.0019159702,0.001121825,0.0004912943,0.00017702226,0.0033025197],"category_scores_gemma":[0.0029595064,0.00009100854,0.00012991433,0.0015868474,0.0006719367,0.0003147883,0.00079869037,0.0005288036,0.00016208892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020863068,0.00008571548,0.95205253,0.00002559742,0.000031329044,0.00033399038,0.0018546504,0.00049449963,0.0002745583,0.0010940684,0.006065029,0.03747958],"study_design_scores_gemma":[0.000002730239,0.000010089287,0.9963936,0.000010991369,0.0000033496342,0.000023772418,0.0012110233,0.0001968467,0.000041564985,0.000047388912,0.0020542082,0.0000044243434],"about_ca_topic_score_codex":0.9910815,"about_ca_topic_score_gemma":0.9959955,"teacher_disagreement_score":0.027126815,"about_ca_system_score_codex":0.027126815,"about_ca_system_score_gemma":0.026267715,"threshold_uncertainty_score":0.19681978},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.022265987261954227,"score_gpt":0.171626142039968,"score_spread":0.1493601547780138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590957081","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105930604,0.031435892,0.001536842,0.022249779,0.0012776488,0.00030139892,0.35578993,0.00092257094,0.4805553],"genre_scores_gemma":[0.7213686,0.03635785,0.0029541417,0.0028662742,0.00021819264,0.00019517576,0.08092562,0.00022546861,0.1548887],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9974757,0.00006308326,0.00009321998,0.00018742251,0.0014974474,0.0006832186],"domain_scores_gemma":[0.99560875,0.0000948329,0.00016581714,0.00006122755,0.0032831468,0.0007862152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065892475,0.00050480996,0.0005056286,0.003946672,0.0050811362,0.004194109,0.0011047991,0.00037577964,0.020791303],"category_scores_gemma":[0.0037164649,0.00023579564,0.00048767694,0.014822051,0.0007346503,0.0009783836,0.0013878378,0.0012037543,0.0033391628],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001408937,0.000066319364,0.13981001,0.0009727666,0.00014422252,0.00038876664,0.0028677327,0.0015142488,0.00042486467,0.027636912,0.63121337,0.1948199],"study_design_scores_gemma":[0.000022079765,0.000025244035,0.473603,0.00054316584,0.000046115976,0.00012390866,0.0022973202,0.0009806134,0.00013852662,0.0013208677,0.5208183,0.000080815895],"about_ca_topic_score_codex":0.9982559,"about_ca_topic_score_gemma":0.99876994,"teacher_disagreement_score":0.08833943,"about_ca_system_score_codex":0.08833943,"about_ca_system_score_gemma":0.17813325,"threshold_uncertainty_score":0.64095044},"labels":[],"label_agreement":null},{"id":"W1591282593","doi":"10.22004/ag.econ.45736","title":"Irrigation Management Research Needs in an Era of Changing Water Use Priorities","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Irrigation; Agriculture; Competition (biology); Business; Irrigation management; Natural resource economics; Agricultural economics; Environmental planning; Political science; Economics; Geography","score_opus":0.08373593020301193,"score_gpt":0.27076161187357206,"score_spread":0.18702568167056013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591282593","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034732938,0.07420051,0.0037397726,0.87201416,0.0024248126,0.000059836126,0.00027717542,0.00012224393,0.0124285165],"genre_scores_gemma":[0.47526404,0.25880146,0.052629534,0.18321934,0.010079177,0.00042277927,0.0011586996,0.00013514087,0.018289745],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9937635,0.0028458005,0.00037936805,0.000700952,0.0010405828,0.0012698354],"domain_scores_gemma":[0.9660629,0.011111681,0.0017030974,0.0010686596,0.011051169,0.009002488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014118724,0.0004085388,0.0011289599,0.0014814191,0.0035931652,0.0071872487,0.0023970546,0.008742475,0.006722349],"category_scores_gemma":[0.018423792,0.00036906675,0.0005317141,0.0029163559,0.0045173964,0.007560743,0.0036812972,0.0044820546,0.0008847467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003274842,0.0005806418,0.021917645,0.004433433,0.0000871748,0.0013227691,0.009407838,0.0025301347,0.005316536,0.06673011,0.17675413,0.71059215],"study_design_scores_gemma":[0.00009090951,0.0004615344,0.03672994,0.004462575,0.00012275482,0.001228289,0.08809118,0.0021565736,0.0013156658,0.10326473,0.76186496,0.00021080887],"about_ca_topic_score_codex":0.0357985,"about_ca_topic_score_gemma":0.07481857,"teacher_disagreement_score":0.0357985,"about_ca_system_score_codex":0.007707235,"about_ca_system_score_gemma":0.04671674,"threshold_uncertainty_score":0.07466781},"labels":[],"label_agreement":null},{"id":"W1591535998","doi":"10.22004/ag.econ.24057","title":"ECONOMIC EVALUATION OF MANURE MANAGEMENT AND FARM GATE APPLICATIONS: A LITERATURE REVIEW OF ENVIRONMENTAL AND ECONOMIC ASPECTS OF MANURE MANAGEMENT IN ALBERTA'S LIVESTOCK SECTORS","year":2001,"lang":"en","type":"review","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Manure; Environmental science; Manure management; Nutrient management; Livestock; Fertilizer; Agronomy; Economic impact analysis; Agriculture; Agricultural science; Business; Engineering; Geography","score_opus":0.01693548891176091,"score_gpt":0.25011270217768616,"score_spread":0.23317721326592525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591535998","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015836837,0.9951444,0.00012205828,0.0006720533,0.000070030495,0.000025098156,0.00013817278,0.000004088508,0.0022402117],"genre_scores_gemma":[0.017568214,0.9811205,0.00044102987,0.00029257228,0.00006505871,0.000024713241,0.00013414174,0.0000035955445,0.00035024234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99529403,0.0011593369,0.00049066014,0.00018583014,0.002649441,0.00022079347],"domain_scores_gemma":[0.9804258,0.01296825,0.0022679123,0.00014303741,0.0039306344,0.00026441566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00666333,0.00090603554,0.0020078372,0.010872231,0.0005857928,0.00388434,0.0014843646,0.0013846582,0.0025974766],"category_scores_gemma":[0.013500398,0.00045850978,0.0019802991,0.026143884,0.0010284112,0.0013805354,0.0006577038,0.0010253149,0.00017338089],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003967968,0.0001945589,0.0044194893,0.14485265,0.0010806844,0.00031952694,0.0003264813,0.0052498425,0.0007216032,0.004902944,0.015823053,0.8217123],"study_design_scores_gemma":[0.00017350008,0.0008584525,0.09083107,0.38512042,0.007155723,0.00087699917,0.0027370509,0.0040077083,0.001565249,0.005118897,0.5013534,0.00020149659],"about_ca_topic_score_codex":0.23983565,"about_ca_topic_score_gemma":0.41711816,"teacher_disagreement_score":0.7601644,"about_ca_system_score_codex":0.019318363,"about_ca_system_score_gemma":0.02893089,"threshold_uncertainty_score":0.4768793},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0706482652511597,"score_gpt":0.2478987374201748,"score_spread":0.17725047216901507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591545974","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050775737,0.006190606,0.07520461,0.022490311,0.0015891234,0.00088406715,0.010962578,0.00046477412,0.8314383],"genre_scores_gemma":[0.67120713,0.0117585175,0.11709362,0.025253493,0.0013620412,0.0044385195,0.010677692,0.0008354513,0.15737358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98731637,0.0042783725,0.00048358963,0.0007031716,0.0059543666,0.0012640624],"domain_scores_gemma":[0.99629503,0.00088848814,0.0006627625,0.00043689896,0.001566992,0.00014980038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008349147,0.0015577779,0.0006674366,0.0025469724,0.0017204202,0.0066343057,0.0029186031,0.004984336,0.007573534],"category_scores_gemma":[0.015333062,0.00073906354,0.0013620594,0.0037566074,0.0029091004,0.003398128,0.0027916278,0.00390114,0.001256232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018922263,0.000069269336,0.002971339,0.00021292813,0.00005916919,0.00041224287,0.00082905847,0.026711341,0.0016428514,0.8432849,0.085424274,0.03819334],"study_design_scores_gemma":[0.00008958425,0.000194096,0.008399778,0.00083577645,0.000061335464,0.0003932833,0.00091630145,0.010656901,0.0017568379,0.16415487,0.8123988,0.00014246732],"about_ca_topic_score_codex":0.060466148,"about_ca_topic_score_gemma":0.034002643,"teacher_disagreement_score":0.060466148,"about_ca_system_score_codex":0.009316357,"about_ca_system_score_gemma":0.009930608,"threshold_uncertainty_score":0.12022835},"labels":[],"label_agreement":null},{"id":"W1593875185","doi":"10.22004/ag.econ.61256","title":"Measuring the Efficiency product output: An Application to Food Industry in Canada","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Food industry; Agricultural economics; Business; Industrial organization; Economics; Food science; Mathematics; Chemistry","score_opus":0.04769878499576726,"score_gpt":0.2120123193024532,"score_spread":0.16431353430668594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593875185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94752204,0.001254286,0.019543704,0.00064313674,0.000029236024,0.00021179192,0.0053033438,0.0003527757,0.025139572],"genre_scores_gemma":[0.97936624,0.00061502954,0.013852068,0.000026268886,0.00000818748,0.00003220312,0.0013337797,0.000042236406,0.004723947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990835,0.0001449383,0.000034014603,0.00011347298,0.0004996355,0.00012441039],"domain_scores_gemma":[0.9979255,0.0004984714,0.00013810839,0.000087344764,0.0012171976,0.000133338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283523,0.0006088896,0.0004038298,0.0024402589,0.0013668903,0.0018766479,0.00089328474,0.00049786794,0.0023641323],"category_scores_gemma":[0.005960987,0.00016727734,0.00038548803,0.008941791,0.00047084637,0.00058023323,0.00061680103,0.00047195356,0.00023524974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022732007,0.00024206415,0.69466776,0.00028655957,0.00019752714,0.00021799305,0.0019357636,0.04757272,0.0027414258,0.010244077,0.00826532,0.23340145],"study_design_scores_gemma":[0.000036008067,0.000088838075,0.8607938,0.00006446124,0.0001227244,0.00006147246,0.002583631,0.11700596,0.0049640667,0.002235956,0.0119835315,0.00005948503],"about_ca_topic_score_codex":0.9795355,"about_ca_topic_score_gemma":0.98439085,"teacher_disagreement_score":0.02046448,"about_ca_system_score_codex":0.017484458,"about_ca_system_score_gemma":0.016918546,"threshold_uncertainty_score":0.12685919},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0535339614834505,"score_gpt":0.2695548414531406,"score_spread":0.21602087996969013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593945218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882907,0.000062795305,0.000069005044,0.000030148372,8.416438e-7,0.000012017209,0.0006622697,0.0000010469342,0.00033279185],"genre_scores_gemma":[0.9987871,0.00013293854,0.00012371197,0.000014978681,0.000001919212,0.000016146112,0.0006993704,4.3445377e-7,0.0002233922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969625,0.00012800508,0.00001602662,0.000044435,0.000036120993,0.00007921501],"domain_scores_gemma":[0.99918634,0.0001461917,0.00042423332,0.00003571658,0.00009578173,0.00011165643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005412406,0.00023445346,0.00017821572,0.00050984154,0.0004766017,0.00031761144,0.00029590775,0.00027685123,0.0011967248],"category_scores_gemma":[0.0015115847,0.00020241777,0.00018033365,0.0007481039,0.00023643882,0.00039831956,0.00064505724,0.00030372187,0.00022003477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008151578,0.000036121968,0.9953957,0.000021198046,0.000022941262,0.0000892746,0.0004917036,0.0006229784,0.00037892867,0.00006561367,0.00018413326,0.002609725],"study_design_scores_gemma":[0.0000028637787,0.00008117422,0.9983335,0.000008085285,0.0000081616245,0.000047689697,0.0007309921,0.00040909983,0.000106477055,0.000021872513,0.00024699845,0.000003266414],"about_ca_topic_score_codex":0.028446164,"about_ca_topic_score_gemma":0.07580495,"teacher_disagreement_score":0.028446164,"about_ca_system_score_codex":0.00055990595,"about_ca_system_score_gemma":0.0003118288,"threshold_uncertainty_score":0.056561172},"labels":[],"label_agreement":null},{"id":"W1594293621","doi":"10.22004/ag.econ.51652","title":"NONPARAMETRIC ANALYSIS OF ATTITUDES TOWARD RISKY CROPS: A PLANT MOLECULAR FARMING CASE STUDY","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Agriculture; Food safety; Nonparametric statistics; Survey data collection; Environmental health; Agricultural science; Economics; Environmental science; Geography; Medicine; Statistics; Econometrics; Mathematics","score_opus":0.06752301227666709,"score_gpt":0.28632381893517617,"score_spread":0.2188008066585091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594293621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99234504,0.00005916843,0.004083285,0.00032880675,0.0000035858711,0.000041507177,0.00024758364,0.000013778743,0.0028773649],"genre_scores_gemma":[0.9977163,0.00002875078,0.0016113536,0.000018548722,0.000003590406,0.000026892118,0.00012331434,0.0000042095285,0.00046703027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965449,0.0021589983,0.00008992133,0.00021263452,0.00058478425,0.0004087232],"domain_scores_gemma":[0.97414273,0.019734573,0.0020175898,0.00196187,0.0015975478,0.0005456513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038952944,0.00023143385,0.00037530996,0.0011882257,0.0013771987,0.0010087346,0.0009047092,0.0010721581,0.0031399794],"category_scores_gemma":[0.023998696,0.00013280036,0.0007279065,0.0023939142,0.0015351993,0.0008743589,0.0010043269,0.0014504823,0.00022746502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000913196,0.0024788394,0.8744226,0.00010303882,0.00014969458,0.0039299806,0.012267302,0.00837183,0.0015565031,0.021348191,0.003401903,0.071056865],"study_design_scores_gemma":[0.00007869105,0.00092284573,0.8314732,0.00003987359,0.000063859734,0.0034721764,0.030824738,0.10960816,0.0013957744,0.01557057,0.0064302445,0.00011989391],"about_ca_topic_score_codex":0.03790443,"about_ca_topic_score_gemma":0.032260936,"teacher_disagreement_score":0.03790443,"about_ca_system_score_codex":0.0018944406,"about_ca_system_score_gemma":0.00084460777,"threshold_uncertainty_score":0.07536763},"labels":[],"label_agreement":null},{"id":"W1594534083","doi":"10.22004/ag.econ.53932","title":"Climate Change and Greenhouse Gas Awareness Study","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Climate change; Agriculture; Baseline (sea); Business; Natural resource economics; Environmental science; Environmental resource management; Agricultural science; Agricultural economics; Environmental protection; Geography; Political science; Economics; Ecology","score_opus":0.09116735289974556,"score_gpt":0.3149877959262347,"score_spread":0.22382044302648915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594534083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910234,0.000054976674,0.00008871503,0.00031843604,0.000014741318,0.00018221485,0.0003403475,0.0000028197207,0.0079743005],"genre_scores_gemma":[0.9929783,0.0001794214,0.00026973645,0.00037551124,0.000039431998,0.00049152086,0.00043887916,0.0000021314886,0.005225142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994344,0.00022571752,0.00002685204,0.000054510925,0.00011959596,0.00013889643],"domain_scores_gemma":[0.9969862,0.00085100887,0.00043700382,0.00021277899,0.00057847437,0.0009345403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013307495,0.00017090749,0.00023547056,0.0007562786,0.0027658253,0.0009567072,0.00023510534,0.00046947118,0.0031940297],"category_scores_gemma":[0.0024429369,0.00020320172,0.00019068512,0.0009162198,0.0004833793,0.0005004372,0.00079647225,0.0013766276,0.0004991124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029270182,0.00854036,0.9152344,0.00008694649,0.00007089291,0.00054631045,0.038822576,0.00023442645,0.0008451647,0.0024411427,0.004504784,0.028380323],"study_design_scores_gemma":[0.000041925803,0.00084523484,0.9498612,0.000021084776,0.000025524578,0.0001434506,0.03320779,0.00019538548,0.00035312894,0.00034774342,0.014943882,0.000013777305],"about_ca_topic_score_codex":0.03201258,"about_ca_topic_score_gemma":0.045755748,"teacher_disagreement_score":0.03201258,"about_ca_system_score_codex":0.0011991754,"about_ca_system_score_gemma":0.0020416754,"threshold_uncertainty_score":0.063652515},"labels":[],"label_agreement":null},{"id":"W1595379929","doi":"10.22004/ag.econ.46024","title":"Trading Biofuels - Will International Trade Law Be a Constraint?","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biofuel; International trade; Subsidy; Business; Agriculture; Aviation biofuel; Natural resource economics; Tariff; Market access; Economics; Agricultural economics; Industrial organization; Bioenergy; Biotechnology; Market economy","score_opus":0.03183821398759877,"score_gpt":0.27075777310335325,"score_spread":0.23891955911575447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595379929","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019941961,0.0061928574,0.0048251986,0.41046554,0.0012785475,0.00007737234,0.00032729455,0.000069703834,0.55682147],"genre_scores_gemma":[0.50421035,0.010348034,0.0066259876,0.37101933,0.0033014563,0.0003057579,0.0003733879,0.00017762525,0.10363813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99604034,0.0008148145,0.00020037954,0.0007433042,0.0014253004,0.000775826],"domain_scores_gemma":[0.987204,0.007658129,0.0014796107,0.0010776847,0.0017032311,0.00087732915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008365405,0.0003211168,0.00074810995,0.0009409094,0.004450513,0.011727074,0.0017851338,0.017085526,0.019903785],"category_scores_gemma":[0.02194987,0.00036896425,0.0008443427,0.0015144713,0.009281605,0.016006984,0.0023821318,0.012011628,0.0025148704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010359068,0.0000456086,0.00053802296,0.000031822907,0.0000064024043,0.00016625089,0.00023314697,0.00022060107,0.00020352553,0.9586584,0.028953832,0.010931986],"study_design_scores_gemma":[0.000033819644,0.000038070317,0.0011955458,0.0004112912,0.0000142687595,0.0002545272,0.0009551637,0.00083972875,0.00026441764,0.59837645,0.3975722,0.000044434782],"about_ca_topic_score_codex":0.015406011,"about_ca_topic_score_gemma":0.01581028,"teacher_disagreement_score":0.019903785,"about_ca_system_score_codex":0.0062413123,"about_ca_system_score_gemma":0.0079386365,"threshold_uncertainty_score":0.066584766},"labels":[],"label_agreement":null},{"id":"W1596394049","doi":"10.22004/ag.econ.12888","title":"APPROPRIATE REMEDIES FOR NON-TRADE CONCERNS","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Agriculture and Agri-Food Canada; Université Laval","keywords":"Business; International trade","score_opus":0.0498210843129761,"score_gpt":0.22462994579586174,"score_spread":0.17480886148288563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596394049","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07579698,0.0033548991,0.16638336,0.2340622,0.005760481,0.0009615197,0.00057985313,0.0014637143,0.511637],"genre_scores_gemma":[0.86158854,0.0011038011,0.035272833,0.022912832,0.002968879,0.00039128202,0.00013105143,0.00032845655,0.075302176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9845968,0.0032427115,0.001162907,0.0022510607,0.006595116,0.002151483],"domain_scores_gemma":[0.96475804,0.013935374,0.0033723349,0.0094017275,0.00751614,0.00101632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0121945,0.0007251398,0.0010667788,0.0026340017,0.0047013275,0.0071731964,0.0033969223,0.014782943,0.026424693],"category_scores_gemma":[0.10088468,0.00064641365,0.001211029,0.0009997688,0.0042580445,0.007431168,0.0032412692,0.010305464,0.0023228962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054506534,0.00016669172,0.0012184731,0.00011014099,0.00004173422,0.0008637649,0.00079726195,0.0011721088,0.0012271113,0.9386172,0.031139325,0.024591586],"study_design_scores_gemma":[0.00011249538,0.00006700847,0.0018017363,0.00026322968,0.00010084982,0.00060315273,0.0011649565,0.0070019118,0.0025623227,0.8605094,0.12574594,0.00006702221],"about_ca_topic_score_codex":0.0023208614,"about_ca_topic_score_gemma":0.0042284243,"teacher_disagreement_score":0.026424693,"about_ca_system_score_codex":0.00220639,"about_ca_system_score_gemma":0.007525165,"threshold_uncertainty_score":0.08839947},"labels":[],"label_agreement":null},{"id":"W1597864901","doi":"10.22004/ag.econ.124927","title":"Markups and Promotional Patterns of California WIC-Authorized Foods","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Food and Nutrition Service; U.S. Department of Agriculture","keywords":"Supplemental Nutrition Assistance Program; Authorization; Environmental health; Quarter (Canadian coin); Safety net; Nutrition Education; Medicine; Agriculture; Business; Gerontology; Food insecurity; Geography; Food security","score_opus":0.03812858561041847,"score_gpt":0.27070056579721763,"score_spread":0.23257198018679914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597864901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98095185,0.0010171112,0.00008977987,0.00028785478,0.0000201101,0.000024859055,0.0028321762,0.000018105782,0.014758081],"genre_scores_gemma":[0.99000335,0.0009747252,0.00030878367,0.000054229644,0.000018217239,0.000025952137,0.00251141,0.00000608344,0.006097349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978536,0.000037324484,0.000013089362,0.000057562283,0.000068782945,0.000037889233],"domain_scores_gemma":[0.9985045,0.00022561205,0.00067640643,0.000087682965,0.00030580087,0.00019996091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051915465,0.00013273794,0.00008924911,0.0010839016,0.00033254374,0.00047658492,0.00035745781,0.00020026535,0.0062277047],"category_scores_gemma":[0.0017267081,0.00016254133,0.00011612711,0.00083995797,0.0001534854,0.00024840175,0.00032631538,0.0004005794,0.00038298935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067767844,0.0004717123,0.92671996,0.00008549858,0.00006190015,0.000056707515,0.0011833534,0.00012101329,0.00079108635,0.0005948953,0.008934938,0.060301326],"study_design_scores_gemma":[0.0000072604407,0.00004925991,0.9963797,0.000024717714,0.00001203847,0.000022370858,0.00042594632,0.00007376426,0.00011164977,0.000029992952,0.0028601226,0.0000032308842],"about_ca_topic_score_codex":0.06671528,"about_ca_topic_score_gemma":0.13572712,"teacher_disagreement_score":0.06671528,"about_ca_system_score_codex":0.0004779153,"about_ca_system_score_gemma":0.0003705918,"threshold_uncertainty_score":0.13265389},"labels":[],"label_agreement":null},{"id":"W1599196196","doi":"10.22004/ag.econ.54465","title":"Characteristics of Canada's Diverse Farm Sector","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":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Typology; Agriculture; Business; Revenue; Diversity (politics); Small farm; Production (economics); Homogeneous; Agribusiness; Agricultural economics; Agricultural science; Net income; Economics; Geography; Finance; Mathematics","score_opus":0.037866171943723236,"score_gpt":0.1922090520810988,"score_spread":0.15434288013737557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599196196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96818906,0.0005819064,0.00015559775,0.0007847571,0.0000100572215,0.00006691958,0.007978697,0.00001765636,0.0222154],"genre_scores_gemma":[0.9937178,0.00039344293,0.00016503615,0.00015962783,0.0000045184875,0.000018815725,0.0025561969,0.000008842012,0.0029757174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871933,0.00006783971,0.000041121253,0.000131077,0.00047563008,0.00056511245],"domain_scores_gemma":[0.9958359,0.00018974245,0.00060367805,0.00011451204,0.0015927644,0.0016634675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005233879,0.00016674274,0.00022277399,0.0029413973,0.0040253717,0.001988515,0.0006859567,0.00024369919,0.0045836354],"category_scores_gemma":[0.0023562808,0.00013007499,0.00016151977,0.0076312926,0.0008588012,0.00034803993,0.0011697421,0.0003745281,0.0004648341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007381355,0.00004164734,0.96529925,0.000042064352,0.00002880585,0.00030155515,0.0047645024,0.00023874342,0.00073302543,0.0025339557,0.008537017,0.017405676],"study_design_scores_gemma":[0.000002235096,0.0000071946884,0.98622686,0.000020740761,0.0000034769018,0.000087233966,0.004323966,0.00013471753,0.000052762785,0.00012366468,0.009008543,0.000008706063],"about_ca_topic_score_codex":0.97264534,"about_ca_topic_score_gemma":0.99016374,"teacher_disagreement_score":0.027354658,"about_ca_system_score_codex":0.016395671,"about_ca_system_score_gemma":0.019516127,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1600247237","doi":"10.22004/ag.econ.45733","title":"Labelling Policy for GM Foods: Pragmatism in Action or Policy Failure?","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labelling; Action (physics); Food labelling; Public economics; Business; Food labeling; Food products; Agriculture; Public policy; Political science; Biotechnology; Economics; Food science; Biology; Law","score_opus":0.07458452453017005,"score_gpt":0.2914957890088868,"score_spread":0.21691126447871673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600247237","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014473161,0.0022336778,0.0024985368,0.9849,0.0011632114,0.000014856722,0.000014427601,0.000039667906,0.007688281],"genre_scores_gemma":[0.18805175,0.00721939,0.016991725,0.76991606,0.0039548925,0.00023791667,0.00008429061,0.0001912048,0.013352817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.91845435,0.040504597,0.004760204,0.0058394363,0.024140323,0.0063010757],"domain_scores_gemma":[0.8057592,0.12631737,0.015742112,0.011880023,0.030081276,0.010220038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.14054479,0.000972555,0.0015541523,0.0026005544,0.008462623,0.024035465,0.0065758955,0.040672056,0.004724011],"category_scores_gemma":[0.18543974,0.00075441966,0.0009382854,0.004599879,0.04662467,0.03320644,0.010684944,0.043700404,0.0015789857],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036042584,0.00009041734,0.0006680874,0.00028074745,0.000024445799,0.00011050034,0.006121647,0.00055938563,0.00040803468,0.87323165,0.086312726,0.032156255],"study_design_scores_gemma":[0.00005654722,0.00006859449,0.00073285575,0.0014958243,0.000018431681,0.00012609841,0.008115119,0.001148454,0.00056762126,0.63801825,0.3495208,0.00013140778],"about_ca_topic_score_codex":0.014379665,"about_ca_topic_score_gemma":0.010491551,"teacher_disagreement_score":0.14054479,"about_ca_system_score_codex":0.02169382,"about_ca_system_score_gemma":0.055731777,"threshold_uncertainty_score":0.74328077},"labels":[],"label_agreement":null},{"id":"W1601480834","doi":"10.22004/ag.econ.44407","title":"Opportunities and Obstacles Facing Organic Farmers in the Czech Republic","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural economics and policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Czech; Organic farming; Business; Environmental protection; Geography; Agriculture; Archaeology","score_opus":0.10226568581179052,"score_gpt":0.2572633088383435,"score_spread":0.15499762302655296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601480834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99244654,0.00016494044,0.000033469536,0.00069274806,0.000005183796,0.00001139654,0.00002868015,0.0000017114327,0.006615325],"genre_scores_gemma":[0.9985663,0.00011351844,0.000020475034,0.000052655476,0.0000019900017,0.000004532738,0.000008417575,8.421618e-7,0.0012312145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983675,0.00025343566,0.000043351196,0.00008563562,0.0001248146,0.0011252529],"domain_scores_gemma":[0.9985998,0.00029804432,0.00020675486,0.000024547844,0.00009694685,0.00077385746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013891278,0.00016564156,0.00023925144,0.0008168809,0.004328702,0.0031318152,0.00068671606,0.00071200717,0.0046076206],"category_scores_gemma":[0.0016472412,0.00025427103,0.00018813652,0.0011304498,0.002138778,0.00091728684,0.0038526086,0.0006132378,0.00018348481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021086964,0.0008270715,0.7473841,0.00069850945,0.00012415217,0.0109757325,0.07281951,0.005728796,0.012032505,0.073379405,0.005276824,0.06864472],"study_design_scores_gemma":[0.000067719,0.0002072901,0.71354526,0.00024105285,0.000043016174,0.00045775523,0.25807762,0.0008539663,0.000519304,0.004261354,0.021661485,0.000064106374],"about_ca_topic_score_codex":0.0722373,"about_ca_topic_score_gemma":0.19564332,"teacher_disagreement_score":0.0722373,"about_ca_system_score_codex":0.004891822,"about_ca_system_score_gemma":0.009811841,"threshold_uncertainty_score":0.14363366},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Business; Marketing; Agricultural science; Agricultural economics; Economics; Environmental science","score_opus":0.028341485426738162,"score_gpt":0.19433089076076523,"score_spread":0.16598940533402706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603620296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967603,0.00014546144,0.0007869535,0.00006136657,9.4514644e-7,0.00003565403,0.00042284082,0.000013518361,0.0017731099],"genre_scores_gemma":[0.9969709,0.00012996625,0.001010982,0.000012572513,0.0000012564295,0.000009954272,0.0006087218,0.0000059864637,0.0012496945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978079,0.00026444552,0.000087256216,0.0003231134,0.0008206635,0.000696604],"domain_scores_gemma":[0.9938513,0.0012605888,0.0012995949,0.0002490225,0.0024698353,0.000869615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001923884,0.00047178043,0.0004888354,0.0033541864,0.001801449,0.002396661,0.00088136,0.00039832207,0.0009997993],"category_scores_gemma":[0.008150874,0.000300082,0.0004021663,0.0060790433,0.0009984347,0.0010139811,0.0011520929,0.00048640536,0.00019423575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002091313,0.00013151689,0.95922977,0.000046347814,0.00015038403,0.00016180509,0.0014614904,0.015012441,0.0010030906,0.0017533068,0.00070215925,0.020138616],"study_design_scores_gemma":[0.000019300722,0.0000566739,0.9729874,0.000024988974,0.00006633184,0.000046877925,0.0041336934,0.018969016,0.0011443809,0.0002596511,0.002258777,0.000032779637],"about_ca_topic_score_codex":0.9827231,"about_ca_topic_score_gemma":0.98711014,"teacher_disagreement_score":0.034528974,"about_ca_system_score_codex":0.034528974,"about_ca_system_score_gemma":0.021152847,"threshold_uncertainty_score":0.25052637},"labels":[],"label_agreement":null},{"id":"W1603677814","doi":"10.22004/ag.econ.23530","title":"EFFECTS OF THE CANADIAN WHEAT BOARD ON THE U.S. WHEAT INDUSTRY","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Negotiation; International trade; Subsidy; Business; Agricultural economics; International economics; Economics; Market economy; Political science","score_opus":0.056025155103485116,"score_gpt":0.19856907766534443,"score_spread":0.14254392256185933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603677814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.618545,0.015109075,0.0021477982,0.034586206,0.0005534932,0.000105302344,0.0039219474,0.00017017002,0.32486105],"genre_scores_gemma":[0.9742255,0.0045989007,0.0004994374,0.0019250343,0.000057521847,0.000014934816,0.000852067,0.000026040248,0.017800603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977246,0.0003207489,0.000040554172,0.00020860884,0.0009505126,0.00075491203],"domain_scores_gemma":[0.9957488,0.00075297395,0.0007409916,0.00014690943,0.0019361471,0.0006741998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017145339,0.0005035654,0.00047457506,0.0017273765,0.004394049,0.003942739,0.0007057613,0.0011194113,0.0067286533],"category_scores_gemma":[0.0060374327,0.000242026,0.0007206739,0.0024690104,0.0017892749,0.0008332327,0.0012117928,0.0011907853,0.0003708111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001512609,0.0004251962,0.3597605,0.0005340349,0.0005751678,0.0013422627,0.0024310004,0.063719675,0.003373203,0.2401601,0.15973142,0.16643487],"study_design_scores_gemma":[0.00037801208,0.00036438555,0.6121461,0.00047010454,0.0009599163,0.00020113707,0.0062655685,0.028304225,0.0029911872,0.02174845,0.32588655,0.0002844419],"about_ca_topic_score_codex":0.986115,"about_ca_topic_score_gemma":0.9889209,"teacher_disagreement_score":0.05526186,"about_ca_system_score_codex":0.05526186,"about_ca_system_score_gemma":0.042419236,"threshold_uncertainty_score":0.40095478},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.013164959448453898,"score_gpt":0.21803209358723233,"score_spread":0.20486713413877844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603983135","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10096841,0.020393219,0.0007164015,0.29343167,0.0016286566,0.000052848547,0.0015645334,0.000053179952,0.5811911],"genre_scores_gemma":[0.8278852,0.018683894,0.0006296713,0.060635515,0.0036718722,0.00008688705,0.0014738358,0.00010572082,0.086827405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985806,0.00039289842,0.00006122529,0.00015453045,0.0006336114,0.00017712494],"domain_scores_gemma":[0.99728477,0.001001932,0.00027968577,0.0000814251,0.0009266121,0.00042550865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013217051,0.00017115912,0.00025691406,0.00083250215,0.0015447461,0.0043476876,0.00045314513,0.0032664044,0.036738783],"category_scores_gemma":[0.006318483,0.00015744632,0.00025935005,0.0018576627,0.001490419,0.0032968004,0.0011912532,0.0017084278,0.0032385373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021423836,0.00021860181,0.06435459,0.0006131345,0.000033852866,0.0014623575,0.016775342,0.00031075004,0.00077061553,0.13298379,0.60265416,0.1796086],"study_design_scores_gemma":[0.000021839393,0.00006831645,0.038542096,0.00050302374,0.000008565596,0.0010659975,0.027993046,0.0003878634,0.00009586359,0.029770752,0.90150046,0.00004218672],"about_ca_topic_score_codex":0.00865105,"about_ca_topic_score_gemma":0.009106569,"teacher_disagreement_score":0.036738783,"about_ca_system_score_codex":0.0026157433,"about_ca_system_score_gemma":0.0009816249,"threshold_uncertainty_score":0.122903466},"labels":[],"label_agreement":null},{"id":"W1605164399","doi":"10.22004/ag.econ.49327","title":"Impacts from Government Regulations on the Canadian-U.S. Basis for Fed Cattle","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Alberta Beef Producers","keywords":"Feeder cattle; Beef cattle; Government (linguistics); Basis (linear algebra); Fed cattle; Economics; Basis point; Agricultural economics; Business; Agricultural science; Animal science; Biology; Monetary economics; Mathematics","score_opus":0.045868798048883865,"score_gpt":0.2067870161630091,"score_spread":0.16091821811412524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605164399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8660518,0.0018857669,0.0017552287,0.010627295,0.00017239778,0.00015688945,0.010346423,0.00023409365,0.1087701],"genre_scores_gemma":[0.9796213,0.0008354261,0.0014987559,0.0016504722,0.000024666866,0.000031710664,0.0019836563,0.000035286106,0.014318719],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943135,0.00064705056,0.00013409046,0.00031950264,0.0031274778,0.0014584234],"domain_scores_gemma":[0.9905533,0.0027079522,0.001669099,0.00039900834,0.0039986446,0.00067190285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004001985,0.00028563038,0.00028948416,0.0011743149,0.0023356625,0.002561587,0.0007915157,0.0006817689,0.0028528518],"category_scores_gemma":[0.011421322,0.0002624244,0.00058055494,0.0021692188,0.0013630372,0.00032853914,0.00076731684,0.0012245465,0.00027690033],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021078084,0.0009311308,0.5287858,0.0003614856,0.00030513358,0.000943498,0.0029009988,0.04247174,0.010015292,0.17254654,0.09726359,0.14136699],"study_design_scores_gemma":[0.00009603447,0.00025926833,0.9017442,0.00011985056,0.00023800811,0.00009937069,0.0026229438,0.012437412,0.0046954844,0.004513973,0.073043466,0.0001299241],"about_ca_topic_score_codex":0.9756948,"about_ca_topic_score_gemma":0.9831513,"teacher_disagreement_score":0.04954535,"about_ca_system_score_codex":0.04954535,"about_ca_system_score_gemma":0.05760448,"threshold_uncertainty_score":0.35947835},"labels":[],"label_agreement":null},{"id":"W1605324436","doi":"10.22004/ag.econ.54496","title":"A Methodology to Evaluate the Impact of Cost Recovery in Canadian Agriculture and Agri-Food Chains","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agriculture; Economic impact analysis; Operations research; Computer science; Economics; Public economics; Environmental economics; Econometrics; Engineering; Microeconomics; Geography","score_opus":0.12059216866938725,"score_gpt":0.29098139382063903,"score_spread":0.17038922515125177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605324436","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118684806,0.0011908738,0.83721477,0.00072133157,0.00011205735,0.002115113,0.0023001148,0.00075953035,0.03690143],"genre_scores_gemma":[0.5291438,0.00077318674,0.46084988,0.00010662353,0.000027870912,0.0010660721,0.0009795814,0.000104623075,0.006948392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99508816,0.0015780762,0.00015852356,0.0004002397,0.0022958082,0.00047926937],"domain_scores_gemma":[0.9936945,0.002823616,0.0005414529,0.00051960844,0.0022461668,0.00017463978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070083537,0.0010807402,0.0006576333,0.007395323,0.0015956106,0.0025116235,0.0018380326,0.00092898164,0.0048279297],"category_scores_gemma":[0.022128467,0.0003783586,0.0011145057,0.008541241,0.0014725338,0.0014132068,0.001283531,0.0009775986,0.00026690986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012489053,0.00016784204,0.017045168,0.00035196907,0.00022752197,0.00013190441,0.00043265344,0.54952085,0.0025851836,0.20438866,0.003693652,0.2213296],"study_design_scores_gemma":[0.000056882418,0.00024287416,0.015706211,0.00009744152,0.0001252013,0.000102653605,0.0006780416,0.9147843,0.0040356973,0.048553035,0.01553041,0.00008721675],"about_ca_topic_score_codex":0.5961006,"about_ca_topic_score_gemma":0.5458068,"teacher_disagreement_score":0.9765939,"about_ca_system_score_codex":0.023406066,"about_ca_system_score_gemma":0.019338027,"threshold_uncertainty_score":0.812556},"labels":[],"label_agreement":null},{"id":"W1605772580","doi":"10.22004/ag.econ.114484","title":"Heterogeneous Demand for Food Diversity: A Quantile Regression Analysis","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quantile; Quantile regression; Diversity (politics); Econometrics; Distribution (mathematics); Economics; Welfare economics; Sample (material); Statistics; Geography; Demographic economics; Mathematics; Political science","score_opus":0.0524463980077518,"score_gpt":0.22662427961306014,"score_spread":0.17417788160530834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605772580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8370274,0.001789713,0.14279127,0.0017705329,0.00007167904,0.00024165963,0.006551898,0.0007685643,0.008987269],"genre_scores_gemma":[0.984432,0.0005608979,0.0076857856,0.00009768454,0.000036600344,0.000086654705,0.002730848,0.00010730328,0.0042621023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980432,0.00096635486,0.000052349475,0.0003608323,0.00026357145,0.0003136954],"domain_scores_gemma":[0.99532264,0.0029916253,0.00049321,0.00056476955,0.0004884211,0.00013939368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052095163,0.0005700731,0.0008767408,0.002045,0.0003602277,0.0015112953,0.0014608928,0.00076177105,0.007619764],"category_scores_gemma":[0.00999889,0.00045682228,0.0022081735,0.0033859212,0.00050895923,0.0007429853,0.000987051,0.0015629029,0.0013514818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006301219,0.000428528,0.5381355,0.00024506418,0.0025144713,0.0011707341,0.0017438938,0.28715807,0.002273689,0.03645762,0.010472666,0.11876961],"study_design_scores_gemma":[0.00004287966,0.00015174595,0.21160501,0.00007001157,0.00034843318,0.00022472156,0.0009167556,0.7666248,0.00038163958,0.013061821,0.006494716,0.00007745437],"about_ca_topic_score_codex":0.09422021,"about_ca_topic_score_gemma":0.024514802,"teacher_disagreement_score":0.09422021,"about_ca_system_score_codex":0.0013648428,"about_ca_system_score_gemma":0.0008696346,"threshold_uncertainty_score":0.1873436},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.050237411025541134,"score_gpt":0.2569505332399896,"score_spread":0.20671312221444849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606283766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93759197,0.0003471246,0.0020373305,0.0019832705,0.000016068474,0.000040923962,0.0003617713,0.00006560018,0.057555888],"genre_scores_gemma":[0.99357635,0.00011997658,0.00040385427,0.00016766638,0.000011306137,0.000012696929,0.00019636107,0.000010942348,0.005500876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929047,0.00021761139,0.00003105871,0.000099177094,0.00028683397,0.000074721145],"domain_scores_gemma":[0.9922009,0.0051293876,0.0008772996,0.00083177345,0.0006612968,0.00029938418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103448,0.00017938578,0.0002470107,0.0004972656,0.00033113494,0.0022222563,0.0003869073,0.0014198222,0.03137295],"category_scores_gemma":[0.007870631,0.00020910628,0.00032533283,0.0004260476,0.00046774137,0.001572073,0.0005943097,0.0008240521,0.0014964916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036740187,0.0035025082,0.40498516,0.0008256595,0.0002647633,0.0017296955,0.0066608414,0.007307105,0.05054852,0.16507705,0.018464278,0.33696046],"study_design_scores_gemma":[0.0005228834,0.0021486706,0.71651673,0.00017997411,0.00021455673,0.0027981459,0.012668414,0.03800813,0.013519889,0.13369507,0.07952596,0.00020168391],"about_ca_topic_score_codex":0.002018184,"about_ca_topic_score_gemma":0.0011441784,"teacher_disagreement_score":0.03137295,"about_ca_system_score_codex":0.00085710647,"about_ca_system_score_gemma":0.00027639998,"threshold_uncertainty_score":0.10495293},"labels":[],"label_agreement":null},{"id":"W1606568495","doi":"10.22004/ag.econ.129513","title":"North America Moves Toward One Market","year":2005,"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":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agribusiness; Economics; Business; Economic geography; Geography; Agriculture; Archaeology","score_opus":0.032317481875121734,"score_gpt":0.1849170128170847,"score_spread":0.15259953094196296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606568495","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034516986,0.0040906263,0.0034034192,0.1976004,0.0022134806,0.000049033544,0.00047492844,0.0002297651,0.7574213],"genre_scores_gemma":[0.48010632,0.010042679,0.008023646,0.11688794,0.0019323046,0.00015941467,0.0008017877,0.00031786316,0.38172805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987312,0.00014576018,0.000027410179,0.00040535358,0.0003860798,0.0003041918],"domain_scores_gemma":[0.9984668,0.00012503039,0.0001610407,0.000103041675,0.0005249077,0.00061911973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012208231,0.0004627107,0.00040487383,0.00084800646,0.004558004,0.008204054,0.0009063844,0.0036432736,0.0550067],"category_scores_gemma":[0.0020435522,0.00020854519,0.00047243427,0.0011194182,0.002955256,0.008586658,0.0041319877,0.0057054474,0.0057074092],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004056827,0.0001621959,0.004403884,0.000117851225,0.00002551168,0.00039355177,0.0022617932,0.00022849643,0.000627367,0.6336413,0.28544125,0.07265628],"study_design_scores_gemma":[0.000018835346,0.000031450218,0.0032334784,0.000119064855,0.000010967132,0.00015795599,0.0019625314,0.0001883719,0.00014010511,0.041639112,0.95247823,0.000019913758],"about_ca_topic_score_codex":0.046264615,"about_ca_topic_score_gemma":0.06570265,"teacher_disagreement_score":0.0550067,"about_ca_system_score_codex":0.005361442,"about_ca_system_score_gemma":0.00772317,"threshold_uncertainty_score":0.18401575},"labels":[],"label_agreement":null},{"id":"W1608367667","doi":"10.22004/ag.econ.33516","title":"STRATEGIC CHALLENGES FOR U.S. PRODUCER ORGANIZATIONS INA GLOBAL MARKET","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization","score_opus":0.07069452567469448,"score_gpt":0.23581393014976007,"score_spread":0.1651194044750656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608367667","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019612515,0.015056775,0.0012985879,0.7734641,0.0033174362,0.000035602978,0.00011316708,0.00018584434,0.18691604],"genre_scores_gemma":[0.58868086,0.036761124,0.01127343,0.18567468,0.003749874,0.00017380215,0.0006011147,0.00025384643,0.17283124],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995522,0.0014155528,0.00015916709,0.00039976955,0.0010510831,0.0014523516],"domain_scores_gemma":[0.9912038,0.001344717,0.0006910566,0.00029853245,0.002061563,0.004400399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0078012994,0.00059486134,0.0003534282,0.0013756256,0.010522466,0.021292996,0.0007723719,0.00703659,0.022926833],"category_scores_gemma":[0.0063700597,0.00033604525,0.00039591867,0.0028061594,0.0035864199,0.007991086,0.004535197,0.005411143,0.0040094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038882343,0.00012793508,0.005579197,0.00013789826,0.000014981417,0.00038519994,0.0052752118,0.00036534818,0.0004539033,0.20373088,0.65985614,0.124034405],"study_design_scores_gemma":[0.000014030784,0.000049179678,0.0034748458,0.0003254825,0.000011895469,0.00022561182,0.028984029,0.0003188389,0.00021326121,0.035685685,0.9306641,0.000032902124],"about_ca_topic_score_codex":0.022566698,"about_ca_topic_score_gemma":0.04779485,"teacher_disagreement_score":0.022926833,"about_ca_system_score_codex":0.0077125975,"about_ca_system_score_gemma":0.02123889,"threshold_uncertainty_score":0.076697886},"labels":[],"label_agreement":null},{"id":"W1608756068","doi":"10.22004/ag.econ.37084","title":"On Optimal British Columbia Log Export Policy: An Application of Trade Theory","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wright; Economics; Tax policy; Economy; Export trade; International trade; International economics; Tax reform; Public economics; Engineering","score_opus":0.016800406415395253,"score_gpt":0.23177059766469776,"score_spread":0.2149701912493025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608756068","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3267591,0.006561427,0.20938374,0.021314194,0.00046547432,0.0003575937,0.002189353,0.00051516626,0.43245396],"genre_scores_gemma":[0.9326954,0.0036650414,0.025996517,0.0011749485,0.000083131126,0.00013044293,0.00029295354,0.00011119433,0.03585041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994855,0.00018136387,0.000017193035,0.0000651869,0.00012505498,0.00012567584],"domain_scores_gemma":[0.9992059,0.00047699726,0.000063362975,0.000051439212,0.00017123217,0.000031060285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095204526,0.00076396874,0.0009825897,0.001282046,0.0014298504,0.003039833,0.00094153127,0.0016181361,0.008822776],"category_scores_gemma":[0.0054398994,0.00043986348,0.0005791445,0.0017035024,0.0014505163,0.0014710502,0.0011356842,0.002248505,0.00039742104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013978858,0.00008674333,0.0024253987,0.00023066367,0.00004938052,0.0002254487,0.00018453886,0.44836837,0.0007499274,0.4995642,0.01570864,0.032266885],"study_design_scores_gemma":[0.00009857524,0.00005039636,0.0031921498,0.00019963764,0.00006113087,0.00011677389,0.0005291746,0.46713218,0.00093048514,0.5036264,0.024003966,0.000059190206],"about_ca_topic_score_codex":0.35109955,"about_ca_topic_score_gemma":0.3254199,"teacher_disagreement_score":0.64890045,"about_ca_system_score_codex":0.013382961,"about_ca_system_score_gemma":0.008933664,"threshold_uncertainty_score":0.6981119},"labels":[],"label_agreement":null},{"id":"W1630974822","doi":"10.22004/ag.econ.158288","title":"Ex Ante Economic Impact Analysis of Novel Traits in Canola","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Canola; Ex-ante; Economic impact analysis; Economics; Agricultural economics; Natural resource economics; Business; Agronomy; Biology; Microeconomics","score_opus":0.04644357518396063,"score_gpt":0.2565500048408269,"score_spread":0.21010642965686627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1630974822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839102,0.00020162662,0.008875347,0.00034519142,0.000008328484,0.000036462035,0.00038528926,0.000035311918,0.006202245],"genre_scores_gemma":[0.9970048,0.0001054167,0.0009963451,0.000024145604,0.000003573708,0.000011611912,0.00017365813,0.0000054911607,0.0016749674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955636,0.0001575693,0.000011923432,0.000053095137,0.000093390736,0.00012766095],"domain_scores_gemma":[0.99816823,0.0012221084,0.0002003174,0.00010747248,0.00020918039,0.00009268401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018788493,0.00047885336,0.00047197248,0.0008392144,0.0004297489,0.001239225,0.0006542587,0.0005213768,0.0022654652],"category_scores_gemma":[0.0037439957,0.00030901728,0.00058363465,0.00079099427,0.00064362516,0.0010389359,0.00071067916,0.0005924843,0.00010628475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014054505,0.000055456414,0.01048654,0.000023164039,0.00005597468,0.00008990595,0.00001605584,0.9752632,0.0011609783,0.008851577,0.00019400675,0.0036626009],"study_design_scores_gemma":[0.00001777015,0.000105408886,0.011424733,0.000004621707,0.00005463719,0.00001876492,0.000070895716,0.98307484,0.0006101762,0.0040102885,0.0005918993,0.00001600039],"about_ca_topic_score_codex":0.08086702,"about_ca_topic_score_gemma":0.077038325,"teacher_disagreement_score":0.08086702,"about_ca_system_score_codex":0.0049783094,"about_ca_system_score_gemma":0.002320069,"threshold_uncertainty_score":0.16079265},"labels":[],"label_agreement":null},{"id":"W1644774079","doi":"10.22004/ag.econ.148589","title":"Optimal quality choice under uncertainty on market development","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ambiguity aversion; Risk aversion (psychology); Duopoly; Microeconomics; Economics; Quality (philosophy); Stackelberg competition; Profit (economics); Ambiguity; Monopoly; Expected utility hypothesis; Computer science; Financial economics; Cournot competition","score_opus":0.10205806360035927,"score_gpt":0.27146931081405073,"score_spread":0.16941124721369147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1644774079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86062765,0.0012760735,0.124084435,0.0012521506,0.00003018771,0.000051882806,0.00016728228,0.00006307207,0.012447297],"genre_scores_gemma":[0.99592423,0.0002969511,0.0025708722,0.000025213849,0.000011701779,0.000010847599,0.000017638686,0.0000062589074,0.0011362014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99911016,0.0003849303,0.000027277234,0.00012525146,0.0001222187,0.00023019701],"domain_scores_gemma":[0.9943557,0.0037769042,0.0010744161,0.0001345735,0.00021405955,0.0004443978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022056105,0.0005089903,0.00072494906,0.0004483579,0.00039392692,0.0022201883,0.00049847836,0.0011311581,0.0025913503],"category_scores_gemma":[0.010579859,0.0005591958,0.0005808641,0.00033062615,0.001369439,0.0030482814,0.0009666194,0.0010289943,0.00014292898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072704745,0.00018134959,0.0082990965,0.00019420974,0.00012142908,0.00055784173,0.00029959736,0.6953324,0.0058710114,0.2695005,0.0009620196,0.017953454],"study_design_scores_gemma":[0.0001305802,0.00028776878,0.0054036546,0.000035784844,0.000059364284,0.00009751841,0.0002560748,0.7739921,0.0015844954,0.21724388,0.00083706406,0.00007169638],"about_ca_topic_score_codex":0.0024947121,"about_ca_topic_score_gemma":0.0013716075,"teacher_disagreement_score":0.0025913503,"about_ca_system_score_codex":0.0019412108,"about_ca_system_score_gemma":0.00091272936,"threshold_uncertainty_score":0.014084458},"labels":[],"label_agreement":null},{"id":"W169202966","doi":"10.22004/ag.econ.116409","title":"POTENTIAL HEALTHCARE SAVINGS FROM PLANT STEROL ENRICHED FOODS IN CANADA","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plant sterols; Coronary heart disease; Consumption (sociology); Health care; Environmental health; Presumption; Biotechnology; Toxicology; Cholesterol; Business; Medicine; Sterol; Biology; Economics; Internal medicine","score_opus":0.05269346225182064,"score_gpt":0.19603758324281992,"score_spread":0.14334412099099927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W169202966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9279338,0.003815543,0.0014054319,0.009324667,0.00007377418,0.00021427956,0.007760463,0.000084403466,0.049387556],"genre_scores_gemma":[0.9932274,0.0012069737,0.0011522862,0.00030236493,0.000006736216,0.000019370878,0.0009896093,0.0000044884086,0.0030908221],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988304,0.00023767607,0.000036964262,0.000070753944,0.00045319807,0.00037112564],"domain_scores_gemma":[0.9986866,0.00036236405,0.00015772493,0.000029057886,0.00059595314,0.00016827964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086348323,0.00031247665,0.00025126294,0.001042246,0.0009116799,0.0014772044,0.00061912014,0.0005552232,0.002361909],"category_scores_gemma":[0.0037778227,0.00017409405,0.0006114621,0.002039475,0.00038543515,0.00043281238,0.0006346007,0.00056875666,0.000108946566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003432939,0.00044411933,0.41638517,0.00091003394,0.0008189434,0.0018082289,0.0009904247,0.28881717,0.0024660358,0.06821291,0.032905743,0.18280834],"study_design_scores_gemma":[0.0007172632,0.0009087027,0.61213475,0.0005487234,0.001300432,0.0006710244,0.0064946674,0.28148597,0.0047376617,0.019289155,0.07143598,0.00027566965],"about_ca_topic_score_codex":0.966902,"about_ca_topic_score_gemma":0.9798885,"teacher_disagreement_score":0.05566092,"about_ca_system_score_codex":0.05566092,"about_ca_system_score_gemma":0.03549282,"threshold_uncertainty_score":0.40385014},"labels":[],"label_agreement":null},{"id":"W1802730896","doi":"10.22004/ag.econ.196915","title":"Bioenergy trade, a theoretical analysis","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bioenergy; Greenhouse gas; Renewable energy; Fossil fuel; Biofuel; Natural resource economics; European union; Agricultural economics; Renewable fuels; International trade; Economics; Business; Engineering; Waste management; Ecology","score_opus":0.011025652836071913,"score_gpt":0.1828721510434607,"score_spread":0.1718464982073888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1802730896","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031568717,0.015168437,0.08525149,0.022114092,0.0005739992,0.000058368172,0.00061342213,0.00009513801,0.84455633],"genre_scores_gemma":[0.81950414,0.023969283,0.014160899,0.0025766483,0.00085836404,0.00026167766,0.00045623948,0.00009228476,0.13812046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998361,0.00004852573,0.0000048620527,0.000033346063,0.000047397203,0.000029731042],"domain_scores_gemma":[0.99976367,0.00012168866,0.000024521083,0.000027025077,0.000042446485,0.000020645633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003651748,0.00069713197,0.00033429547,0.001387545,0.0013702692,0.0028080519,0.001029214,0.0019131008,0.02385275],"category_scores_gemma":[0.0009886995,0.0003370145,0.00084228587,0.0015512663,0.0021760853,0.0042089955,0.0010279749,0.0012715444,0.0020060455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028758918,0.000015083434,0.00009299562,0.00002258609,0.000003601632,0.00004810027,0.00003255534,0.009670684,0.00004100216,0.9852009,0.0025201675,0.0023494575],"study_design_scores_gemma":[0.000005508994,0.00000926169,0.00016259836,0.00007470595,0.0000060011293,0.000080616934,0.00011167349,0.021119662,0.000047092108,0.9509495,0.027428411,0.0000049282094],"about_ca_topic_score_codex":0.005929273,"about_ca_topic_score_gemma":0.0050554634,"teacher_disagreement_score":0.02385275,"about_ca_system_score_codex":0.0031025037,"about_ca_system_score_gemma":0.0014937979,"threshold_uncertainty_score":0.07979536},"labels":[],"label_agreement":null},{"id":"W1808944795","doi":"10.22004/ag.econ.273726","title":"Capital Constraints and European Migration to Canada: Evidence from the 1920s Passenger Lists","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Constraint (computer-aided design); Immigration; Point (geometry); Emigration; Wage; Capital (architecture); Economics; Business; Labour economics; Geography; Engineering","score_opus":0.034937851562468196,"score_gpt":0.26149576361525484,"score_spread":0.22655791205278664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1808944795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897131,0.0011289674,0.000094968855,0.0010253487,0.000008674729,0.000010510866,0.0018569741,0.0000053456192,0.006156096],"genre_scores_gemma":[0.99548763,0.00094966753,0.000061511906,0.00010956368,0.0000068964177,0.0000050880394,0.0010988981,0.000004983203,0.002275765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934644,0.00007161484,0.00002964928,0.00008402348,0.0001755482,0.00029264746],"domain_scores_gemma":[0.9945602,0.0008956274,0.0011598301,0.00030013095,0.002193873,0.0008902803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010044092,0.00028056063,0.00032520044,0.0018917801,0.0036566695,0.0018600957,0.0011525123,0.0008379954,0.0060443613],"category_scores_gemma":[0.007878682,0.00021362587,0.0002975023,0.0051843165,0.0015568949,0.0006714288,0.0012432098,0.0006850923,0.00033412248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039480222,0.00009360193,0.95832896,0.00006783926,0.00010287625,0.00027075034,0.006287473,0.0012682913,0.00014448931,0.0033913585,0.005279507,0.024370043],"study_design_scores_gemma":[0.000013327418,0.000017098484,0.98565185,0.000074507545,0.000036259473,0.000051820407,0.0064277714,0.0006438148,0.000116141244,0.0002976399,0.00664025,0.000029630664],"about_ca_topic_score_codex":0.9956344,"about_ca_topic_score_gemma":0.9969247,"teacher_disagreement_score":0.02115735,"about_ca_system_score_codex":0.02115735,"about_ca_system_score_gemma":0.018175587,"threshold_uncertainty_score":0.15350807},"labels":[],"label_agreement":null},{"id":"W1869194659","doi":"10.22004/ag.econ.93977","title":"The Shifting Global Patterns of Agricultural Productivity","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":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agricultural Research Service; Cooperative State Research, Education, and Extension Service; Giannini Foundation of Agricultural Economics; Bill and Melinda Gates Foundation; University of Minnesota; Economic Research Service; U.S. Department of Agriculture","keywords":"Productivity; Agriculture; Agricultural economics; Agricultural productivity; Economic geography; Business; Natural resource economics; Economics; Geography; Economic growth; Archaeology","score_opus":0.020059953418813357,"score_gpt":0.209300711512688,"score_spread":0.18924075809387464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1869194659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9186136,0.0113020055,0.006151015,0.009124324,0.00014183017,0.00002494985,0.00447271,0.00018765108,0.049981866],"genre_scores_gemma":[0.9839865,0.007889812,0.0024214778,0.00069292623,0.00013642678,0.000016868249,0.0017731054,0.000031456962,0.0030514905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997632,0.000025229414,0.000017459097,0.000097893,0.000050772367,0.000045572997],"domain_scores_gemma":[0.9994516,0.00009466533,0.00015232913,0.000069163194,0.0001930379,0.00003925133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050631486,0.00022990356,0.00018457905,0.0015600459,0.00028248454,0.0011043309,0.00020753118,0.00038940017,0.003312654],"category_scores_gemma":[0.001320594,0.00009497193,0.00023319121,0.0037559292,0.00077609177,0.0014986657,0.0007601764,0.0005544572,0.0006004697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025815034,0.00005167593,0.50867015,0.0007035812,0.00022873623,0.0005791363,0.0053271577,0.006151534,0.016453082,0.061323304,0.016610555,0.38364297],"study_design_scores_gemma":[0.000005585212,0.00007251093,0.9199292,0.00010236666,0.000024168752,0.00048034213,0.0024553149,0.001018541,0.0009263279,0.008684469,0.06627561,0.000025680927],"about_ca_topic_score_codex":0.0042193485,"about_ca_topic_score_gemma":0.005749418,"teacher_disagreement_score":0.0042193485,"about_ca_system_score_codex":0.00078103296,"about_ca_system_score_gemma":0.00033359794,"threshold_uncertainty_score":0.011081934},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.024428664405211423,"score_gpt":0.2477311409680079,"score_spread":0.2233024765627965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1906961880","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008334687,0.00012695251,0.990921,0.00010178105,0.000012655922,0.00004047524,0.00005657043,0.000080456106,0.0003254373],"genre_scores_gemma":[0.5029099,0.00096543855,0.4887918,0.00020246634,0.00013036639,0.000886147,0.0013384398,0.00013531264,0.0046400665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9920773,0.0054247617,0.0003680934,0.0009744834,0.0008150916,0.0003402582],"domain_scores_gemma":[0.94105935,0.051353123,0.0027824887,0.0030633323,0.0014028783,0.0003388175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015374211,0.0013036124,0.0025086103,0.002491437,0.00084319816,0.002165587,0.0032453958,0.0022522362,0.0028265305],"category_scores_gemma":[0.07846843,0.0015947222,0.0027499762,0.0023002808,0.0027692611,0.0041952697,0.0028139413,0.003704978,0.00058821874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020663413,0.00019543848,0.010204539,0.00021653161,0.00037127995,0.00020673317,0.00061626727,0.42805496,0.0007671837,0.49212816,0.0010342497,0.065998025],"study_design_scores_gemma":[0.000016204756,0.000020975112,0.00083479204,0.000030669536,0.00002423249,0.000046122834,0.00003998128,0.8176962,0.00028102606,0.18034355,0.0006367659,0.000029591274],"about_ca_topic_score_codex":0.005995943,"about_ca_topic_score_gemma":0.005777693,"teacher_disagreement_score":0.015374211,"about_ca_system_score_codex":0.0015492006,"about_ca_system_score_gemma":0.0014549826,"threshold_uncertainty_score":0.08130759},"labels":[],"label_agreement":null},{"id":"W195924960","doi":"10.22004/ag.econ.61893","title":"The Boundary Water Treaty After 100 Years: Examining the Montana – Alberta Dispute","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treaty; Boundary (topology); Political science; Law; Geology; Mathematics","score_opus":0.009402552557898307,"score_gpt":0.20440732457968216,"score_spread":0.19500477202178385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195924960","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24891554,0.009627476,0.0014649372,0.13872892,0.0011679481,0.000075289674,0.0002661039,0.000042447446,0.59971136],"genre_scores_gemma":[0.8044369,0.0030197066,0.0007307216,0.05248872,0.00031473956,0.000084863816,0.00019290166,0.00010512916,0.13862629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99233115,0.0011056815,0.00009932645,0.0005240817,0.0026127426,0.0033269005],"domain_scores_gemma":[0.9938665,0.0024772282,0.0002942525,0.00024262072,0.0017744444,0.0013449538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007945538,0.00033524368,0.00077881,0.0018145251,0.041003995,0.019731307,0.004811166,0.016818756,0.00873945],"category_scores_gemma":[0.014283331,0.00052331405,0.0007905196,0.0035166515,0.018107247,0.0059928605,0.0073597166,0.013003662,0.00046890473],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019012271,0.00013074484,0.007228619,0.00007039902,0.000051224197,0.0014379938,0.026631063,0.0019784581,0.00051384413,0.8309936,0.10297488,0.027799102],"study_design_scores_gemma":[0.00011713323,0.00007417376,0.031891827,0.0005828968,0.00013641953,0.00021162587,0.116656706,0.001923114,0.0007482332,0.15279175,0.69462925,0.00023684793],"about_ca_topic_score_codex":0.9710724,"about_ca_topic_score_gemma":0.98809135,"teacher_disagreement_score":0.10168742,"about_ca_system_score_codex":0.10168742,"about_ca_system_score_gemma":0.1430069,"threshold_uncertainty_score":0.73779726},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.08019501601175086,"score_gpt":0.2652244861455878,"score_spread":0.18502947013383694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015004648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32800218,0.19711888,0.021176592,0.07850935,0.001215307,0.00051215914,0.07624466,0.00060617557,0.29661477],"genre_scores_gemma":[0.8665968,0.08297025,0.011241664,0.0032800392,0.0006177181,0.000074910626,0.01618752,0.0002641747,0.018766943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965406,0.00027406286,0.00029831065,0.00035830747,0.002139672,0.00038902886],"domain_scores_gemma":[0.9219763,0.031757284,0.008309086,0.0025247142,0.033614736,0.0018178748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045477105,0.0006505105,0.0011522021,0.008255447,0.0028847463,0.0066492176,0.0028127348,0.0008081875,0.013489949],"category_scores_gemma":[0.04089512,0.00042911476,0.0010079695,0.017732678,0.002500003,0.003450394,0.0014198006,0.0029109616,0.0007986492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017991575,0.00023064877,0.2983009,0.0023922147,0.00025829047,0.0007239643,0.0038390318,0.013413585,0.00020940483,0.22335432,0.18223411,0.27486354],"study_design_scores_gemma":[0.000051101408,0.000053353528,0.51566005,0.0054685953,0.00073853746,0.0006094649,0.008961298,0.033607893,0.0017890327,0.041760482,0.39091882,0.0003813688],"about_ca_topic_score_codex":0.9818702,"about_ca_topic_score_gemma":0.9736772,"teacher_disagreement_score":0.047521856,"about_ca_system_score_codex":0.047521856,"about_ca_system_score_gemma":0.047025517,"threshold_uncertainty_score":0.34479684},"labels":[],"label_agreement":null},{"id":"W205689463","doi":"10.22004/ag.econ.171166","title":"Do Water Service Provision Contracts with Neighbouring Population Centres Reduce Drinking Water Risk on Canadian Reserves?","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Probit model; Population; Water industry; Incentive; Probit; Business; Water supply; Water sector; Geography; Economics; Environmental science; Environmental health; Environmental engineering; Econometrics","score_opus":0.062415048918108555,"score_gpt":0.2084504562624779,"score_spread":0.14603540734436934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W205689463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9383369,0.0009016804,0.001429345,0.015372719,0.00003946815,0.00015555134,0.0018098293,0.000030188728,0.041924376],"genre_scores_gemma":[0.9954717,0.00038031058,0.00041192776,0.00038120386,0.000014310742,0.000018097046,0.00030003127,0.000004756503,0.003017537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954709,0.0009603025,0.00009829887,0.00034531942,0.0011639901,0.001961248],"domain_scores_gemma":[0.98692757,0.0037914116,0.004099955,0.0005252435,0.0020484913,0.0026073898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038906718,0.00025466867,0.0005000071,0.0010182696,0.0029264495,0.002718312,0.0017130288,0.0013175375,0.007758407],"category_scores_gemma":[0.024460109,0.00024789685,0.00059182936,0.0024644297,0.0016628744,0.0014416813,0.0017262619,0.0013788694,0.00030443678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032022878,0.00029081377,0.87375706,0.00012711088,0.00021035412,0.00041302983,0.0030329512,0.010377174,0.00037189794,0.041132595,0.01497311,0.054993678],"study_design_scores_gemma":[0.000118301,0.00015186238,0.9212467,0.00019166508,0.00021693388,0.00011415631,0.0126848025,0.022144573,0.0006407862,0.009596163,0.032802537,0.000091647504],"about_ca_topic_score_codex":0.9702495,"about_ca_topic_score_gemma":0.9852402,"teacher_disagreement_score":0.029750526,"about_ca_system_score_codex":0.028000932,"about_ca_system_score_gemma":0.049320217,"threshold_uncertainty_score":0.20316195},"labels":[],"label_agreement":null},{"id":"W2073668032","doi":"10.22004/ag.econ.273680","title":"Should I Stay or Should I Go ... North? First Job Location of U.S. Trained Doctorates 1957-2005","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Affect (linguistics); Demographic economics; Macro; Micro level; Geography; Psychology; Economics; Computer science; Microeconomics","score_opus":0.07894178599835434,"score_gpt":0.3148045928273836,"score_spread":0.23586280682902927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073668032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99257094,0.00074180024,0.000053052838,0.00084412936,0.00002687103,0.00000484488,0.0041670413,0.000004989757,0.0015864132],"genre_scores_gemma":[0.9922672,0.0010026274,0.000083630526,0.00013411179,0.000024677298,0.000008040709,0.0023417915,0.0000037062946,0.004134225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998373,0.000024784407,0.000013422078,0.000030635318,0.00002424653,0.00006955653],"domain_scores_gemma":[0.9986059,0.00015513418,0.0005485343,0.00003843783,0.00018973787,0.00046217928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031540712,0.00013770636,0.00022726905,0.0010891659,0.0007912713,0.0006752612,0.00038185902,0.0004299056,0.0047125644],"category_scores_gemma":[0.0011946264,0.00015539833,0.00021961724,0.001302929,0.00030358264,0.00029811816,0.00055942213,0.0007068275,0.0010012363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041735893,0.00004761882,0.98615634,0.00003544962,0.000019172247,0.000060300456,0.0013571305,0.0001994084,0.00012113651,0.00020340986,0.003935105,0.007823234],"study_design_scores_gemma":[0.000004396229,0.000029694607,0.9929357,0.00006353987,0.000010736198,0.000054303353,0.0030717351,0.00012340359,0.00012959685,0.000030264402,0.0035412938,0.0000052058504],"about_ca_topic_score_codex":0.28350005,"about_ca_topic_score_gemma":0.6120825,"teacher_disagreement_score":0.28350005,"about_ca_system_score_codex":0.0013469497,"about_ca_system_score_gemma":0.0012873613,"threshold_uncertainty_score":0.5636998},"labels":[],"label_agreement":null},{"id":"W207432755","doi":"10.22004/ag.econ.160444","title":"A Micro-Level Analysis of Vulnerability to Climate Change by Smallholder Farmers in Semi-Arid Areas of Zimbabwe","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Vulnerability (computing); Adaptive capacity; Livestock; Agricultural productivity; Agriculture; Climate change; Distribution (mathematics); Household income; Productivity; Agricultural economics; Socioeconomics; Production (economics); Business; Social vulnerability; Geography; Economics; Psychological resilience; Economic growth","score_opus":0.057446564682087545,"score_gpt":0.2509101100636146,"score_spread":0.19346354538152705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W207432755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99971586,0.00001855632,0.000045065615,0.000017057931,2.7294968e-7,0.0000071927784,0.00012299129,7.229574e-7,0.00007235417],"genre_scores_gemma":[0.9997619,0.000021830629,0.00004272257,0.000004478011,5.009844e-7,0.000010093162,0.000098931065,2.8979053e-7,0.00005925381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968743,0.000108755376,0.000017021372,0.000046006116,0.000032280535,0.00010844726],"domain_scores_gemma":[0.99942386,0.00016255728,0.00021682792,0.000045156463,0.000058245405,0.00009330323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037052555,0.00028536745,0.00019334955,0.0011075309,0.0006650723,0.0005542799,0.0002671851,0.0003514408,0.0012302236],"category_scores_gemma":[0.0018815447,0.00021257864,0.00027364184,0.0015593115,0.0004899991,0.0005325637,0.00086127775,0.000309379,0.00016725023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050305836,0.000034366967,0.99464995,0.000015463585,0.000059787533,0.00017737095,0.002015628,0.00015451548,0.0005340343,0.0000868959,0.000088931556,0.0021328763],"study_design_scores_gemma":[0.0000017146317,0.000034252334,0.9981932,0.00000435669,0.000009543277,0.000029922294,0.0012406014,0.00033192534,0.000030355555,0.0000316702,0.000089914385,0.000002381834],"about_ca_topic_score_codex":0.07188337,"about_ca_topic_score_gemma":0.08883146,"teacher_disagreement_score":0.07188337,"about_ca_system_score_codex":0.0009242063,"about_ca_system_score_gemma":0.00030777653,"threshold_uncertainty_score":0.14292997},"labels":[],"label_agreement":null},{"id":"W2095788983","doi":"10.22004/ag.econ.36505","title":"CROPPING DIVERSITY AND FARM PROGRAMS","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Cropping; Diversity (politics); Agricultural economics; Crop diversity; Geography; Agroforestry; Agriculture; Political science; Economics; Biology; Archaeology","score_opus":0.03904198358512454,"score_gpt":0.1981912490262426,"score_spread":0.15914926544111807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095788983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90278286,0.0011048331,0.00065101474,0.0027815476,0.000022839335,0.000034951994,0.0013496841,0.000029159459,0.091243155],"genre_scores_gemma":[0.99628925,0.00024944037,0.000118790485,0.00016047235,0.000016376343,0.0000095884425,0.00029498216,0.000004592073,0.0028564858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881434,0.0003460879,0.000026856427,0.00012805815,0.00020509234,0.0004796407],"domain_scores_gemma":[0.99561113,0.000880322,0.0010592359,0.00012392964,0.00047988127,0.0018455508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088377524,0.000096489,0.00014936666,0.0009973799,0.0010023247,0.001545582,0.00038908236,0.0003204782,0.008420821],"category_scores_gemma":[0.0044978545,0.00008547756,0.000124825,0.0017126986,0.0009117142,0.00073740643,0.0011657593,0.0005210834,0.00026731455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016963463,0.0003552832,0.87994987,0.00008004319,0.00016684916,0.00026496113,0.0010832421,0.0036654172,0.00073586276,0.028826283,0.009006204,0.07569618],"study_design_scores_gemma":[0.000013472531,0.00008347883,0.97923344,0.00006985509,0.000016523049,0.000075888034,0.0014906576,0.00060779596,0.00014816654,0.0035566683,0.014693039,0.000011028936],"about_ca_topic_score_codex":0.05756428,"about_ca_topic_score_gemma":0.19214495,"teacher_disagreement_score":0.05756428,"about_ca_system_score_codex":0.0029611308,"about_ca_system_score_gemma":0.0024836478,"threshold_uncertainty_score":0.11445844},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exchange rate; Volatility (finance); Economics; Autoregressive conditional heteroskedasticity; Monetary economics; Econometrics; Variance (accounting); International economics","score_opus":0.05132294663706971,"score_gpt":0.2425639584863092,"score_spread":0.1912410118492395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096224028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492586,0.00012877148,0.0010448861,0.00017588005,0.000006019857,0.000013319677,0.00037782014,0.000018340601,0.0033090233],"genre_scores_gemma":[0.99774843,0.00018640532,0.0005341636,0.000021677895,0.0000026487273,0.000006163558,0.00046648088,0.000004629394,0.0010293794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99982965,0.00003358175,0.0000061544592,0.000025390646,0.000037614154,0.00006744146],"domain_scores_gemma":[0.99937433,0.00030794402,0.000077214085,0.000020202924,0.00015931179,0.00006110882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005775129,0.00056945777,0.00046167162,0.0004101156,0.0007020985,0.0011342235,0.00059082697,0.0005442384,0.0012068229],"category_scores_gemma":[0.0021623815,0.00024890932,0.0006034974,0.00056852004,0.00038380077,0.00041226583,0.00040245245,0.00050123973,0.00007202938],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039109573,0.000092840775,0.09279117,0.0000582289,0.00012564794,0.0006371112,0.0002129872,0.8879137,0.0024478477,0.0070307604,0.0013721893,0.0069264662],"study_design_scores_gemma":[0.000052414733,0.00009297873,0.06525073,0.000009468042,0.00010331005,0.00006175352,0.00040187177,0.93136895,0.00077730103,0.0007979117,0.0010300739,0.000053220243],"about_ca_topic_score_codex":0.9032811,"about_ca_topic_score_gemma":0.80248266,"teacher_disagreement_score":0.09671891,"about_ca_system_score_codex":0.00596299,"about_ca_system_score_gemma":0.004082622,"threshold_uncertainty_score":0.19457698},"labels":[],"label_agreement":null},{"id":"W2096465290","doi":"","title":"Evaluating the Success of a CGE Model of the U.S.- Canada and North American Free Trade Agreements","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Free trade; International trade; Free trade agreement; Economics; International economics; Social accounting matrix; Gravity model of trade; Latin Americans; Stern; Macroeconomics; Political science; Engineering","score_opus":0.10820281382809548,"score_gpt":0.23355528250650115,"score_spread":0.12535246867840566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096465290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94808674,0.0004724573,0.0150670465,0.0022578794,0.00007996659,0.00012903484,0.0016586971,0.00025917948,0.031988937],"genre_scores_gemma":[0.9922776,0.00015909669,0.00468284,0.00017686306,0.000016522823,0.000044597033,0.0005403358,0.00004788685,0.0020541907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900717,0.000500261,0.000033446206,0.00012651198,0.00011697019,0.00021562567],"domain_scores_gemma":[0.98880965,0.008813662,0.0006193287,0.0003459255,0.0009658512,0.0004455428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045571066,0.0012180535,0.00114238,0.0012130407,0.0013604349,0.002641546,0.00214229,0.0026460371,0.004365351],"category_scores_gemma":[0.01759175,0.0006824788,0.0009689974,0.0013584296,0.0014856042,0.0020686905,0.0013523239,0.0026661858,0.00027847904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010990304,0.00004213257,0.0040749577,0.000018109107,0.00004067208,0.00004037108,0.000033928874,0.9888649,0.00006370838,0.005239187,0.00042510446,0.0010470328],"study_design_scores_gemma":[0.00007190526,0.00006597347,0.0014948248,0.000013147503,0.000031214997,0.000008988368,0.00013730081,0.99484456,0.0001380687,0.0026783447,0.00049726665,0.000018431047],"about_ca_topic_score_codex":0.44200808,"about_ca_topic_score_gemma":0.30515105,"teacher_disagreement_score":0.5579919,"about_ca_system_score_codex":0.0075581064,"about_ca_system_score_gemma":0.005439293,"threshold_uncertainty_score":0.8788706},"labels":[],"label_agreement":null},{"id":"W2096735272","doi":"10.22004/ag.econ.196446","title":"Społeczne i ekonomiczne konsekwencje migracji zewnętrznych mieszkańców obszarów wiejskich","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Polish socio-economic development","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Emigration; Residence; Unemployment; Population; Demographic economics; Asset (computer security); Rural area; Geography; Promotion (chess); Political science; Economic growth; Development economics; Socioeconomics; Politics; Sociology; Demography; Economics","score_opus":0.0320748667056326,"score_gpt":0.20356583135647205,"score_spread":0.17149096465083946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096735272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86292076,0.0878293,0.0073077413,0.008226805,0.001163894,0.00022535687,0.0009235138,0.00017786573,0.031224836],"genre_scores_gemma":[0.8878323,0.08238295,0.005511371,0.000989148,0.00050508475,0.00020203121,0.0004927612,0.00008203497,0.022002298],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995834,0.00009120981,0.00004723728,0.00007581632,0.00010684762,0.00009549083],"domain_scores_gemma":[0.9997937,0.000029226749,0.000074823394,0.000014579789,0.000039814575,0.00004782695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042668715,0.00056841277,0.00091443205,0.0019079354,0.00088158017,0.0026645595,0.0002506478,0.0004541804,0.004801203],"category_scores_gemma":[0.00072907866,0.00024171238,0.00044714854,0.001729472,0.0012414178,0.0015541945,0.0018184781,0.00093989953,0.0009861379],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008820741,0.00059756817,0.23287687,0.0063368585,0.00057950616,0.015125034,0.06900063,0.00196902,0.018023817,0.0298328,0.03645987,0.58831596],"study_design_scores_gemma":[0.000063255946,0.00056636817,0.6295277,0.0037325535,0.00040917072,0.02398004,0.0805171,0.0009393997,0.002912893,0.0184174,0.23873128,0.00020285558],"about_ca_topic_score_codex":0.0042516305,"about_ca_topic_score_gemma":0.0039159874,"teacher_disagreement_score":0.004801203,"about_ca_system_score_codex":0.00058276055,"about_ca_system_score_gemma":0.0013142107,"threshold_uncertainty_score":0.016061664},"labels":[],"label_agreement":null},{"id":"W2099087692","doi":"10.22004/ag.econ.273661","title":"Simultaneous Signaling in Elimination Contests","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Bidding; Signaling game; CONTEST; Benchmark (surveying); Private information retrieval; Incentive; Microeconomics; Economics; Valuation (finance); Incentive compatibility; Cheap talk; Mathematical economics; Computer science; Finance","score_opus":0.06610217744000614,"score_gpt":0.3212713650432098,"score_spread":0.2551691876032037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099087692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8455058,0.0002331472,0.115059204,0.000981177,0.00005828258,0.00019209247,0.00015975405,0.00019000379,0.037620537],"genre_scores_gemma":[0.9924117,0.000067875146,0.0037848873,0.00008397799,0.000026931439,0.00004911097,0.000048552887,0.000018186161,0.003508794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9921605,0.0040961388,0.00028275905,0.000628263,0.0010110798,0.0018211858],"domain_scores_gemma":[0.9753264,0.016095033,0.004236543,0.0018727629,0.0011425442,0.0013266106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005667997,0.00095837674,0.0015921162,0.0009579234,0.0012500332,0.0031590685,0.0016699902,0.0016721253,0.008628403],"category_scores_gemma":[0.02247034,0.0007189668,0.0010056812,0.00066729955,0.002062406,0.0034795003,0.0019245818,0.0019866885,0.00087204267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051407227,0.0011725755,0.012997819,0.0005247336,0.00028269825,0.001405382,0.002040242,0.12362196,0.022116484,0.7662352,0.004930338,0.059531845],"study_design_scores_gemma":[0.00085157214,0.0010794806,0.008233492,0.000056737776,0.00018357795,0.00079552806,0.00084446504,0.50796217,0.00557294,0.46811286,0.006135727,0.00017143751],"about_ca_topic_score_codex":0.0024557868,"about_ca_topic_score_gemma":0.002210365,"teacher_disagreement_score":0.008628403,"about_ca_system_score_codex":0.001464089,"about_ca_system_score_gemma":0.0014409312,"threshold_uncertainty_score":0.029975593},"labels":[],"label_agreement":null},{"id":"W2099652866","doi":"10.22004/ag.econ.273728","title":"Property Rights, Standards of Living, and Economic Growth: Western Canadian Cree","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Smithsonian Institution","keywords":"Standard of living; Great Divergence; Divergence (linguistics); Property rights; China; Wage; Geography; Power (physics); Property (philosophy); Development economics; Economics; Economy; Political science; Demographic economics; Labour economics; Market economy; Law; Archaeology","score_opus":0.033845802309534295,"score_gpt":0.21231738935756647,"score_spread":0.17847158704803218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099652866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8868882,0.009923183,0.00022746528,0.011938317,0.00007087915,0.000034971334,0.003109736,0.000016482623,0.087790795],"genre_scores_gemma":[0.96576846,0.0061076954,0.00033831378,0.00056824344,0.00002059493,0.000014535935,0.0010584507,0.000016703401,0.02610701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996138,0.000036784113,0.0000112684875,0.00005349403,0.00013319877,0.00015134303],"domain_scores_gemma":[0.99885905,0.00013129601,0.00009071395,0.000043674467,0.00059431855,0.0002809867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084704946,0.00026299848,0.00032379467,0.0024852871,0.0056897015,0.0023856235,0.0007698026,0.00052998745,0.005725972],"category_scores_gemma":[0.0020407652,0.00013938731,0.00020031464,0.005553666,0.0027355915,0.0010585791,0.00087996124,0.0009530017,0.00040455512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002317265,0.00034864445,0.6175047,0.00025035997,0.0001133514,0.0011948477,0.11045704,0.0012086274,0.0005687276,0.075606264,0.05941022,0.13310544],"study_design_scores_gemma":[0.000015207946,0.000026623356,0.8547813,0.00029925568,0.000041422907,0.00018138479,0.05388193,0.0007553914,0.00013960912,0.004281157,0.08553792,0.0000586363],"about_ca_topic_score_codex":0.9983581,"about_ca_topic_score_gemma":0.99928814,"teacher_disagreement_score":0.044303346,"about_ca_system_score_codex":0.044303346,"about_ca_system_score_gemma":0.031611685,"threshold_uncertainty_score":0.32144475},"labels":[],"label_agreement":null},{"id":"W2099703906","doi":"10.22004/ag.econ.35659","title":"RESEARCH PRODUCTIVITY AND SELECTED CHARACTERISTICS OF AGRICULTURAL ECONOMICS FACULTY IN THE SOUTHERN REGION: A QUARTER OF A CENTURY LATER","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Productivity; Agricultural economics; Agriculture; Quartile; Geography; Agricultural productivity; Regional science; Economics; Economic growth; Political science; Archaeology; Mathematics; Statistics","score_opus":0.09600763442561004,"score_gpt":0.3573219890114193,"score_spread":0.26131435458580926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099703906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941649,0.0011210998,0.00014092086,0.0012254468,0.000014542877,0.0000030785643,0.00017928034,0.000008098052,0.003142607],"genre_scores_gemma":[0.996843,0.0008009372,0.00016725145,0.000093244395,0.000057481448,0.0000035628893,0.00018336895,0.0000052099836,0.0018458855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960333,0.00009009792,0.000021481925,0.000095683085,0.00008232515,0.000107142296],"domain_scores_gemma":[0.9937298,0.001688506,0.0017328134,0.00026310547,0.0013083941,0.0012772543],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0017007864,0.00009874408,0.00019078025,0.0022214698,0.0005258299,0.0012082062,0.00020449443,0.0002492608,0.0030035018],"category_scores_gemma":[0.006570755,0.00008295739,0.00016632417,0.0037128523,0.00063929806,0.0007110887,0.0005729593,0.0003504533,0.0003637423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022234193,0.000054764223,0.93109846,0.0001013721,0.000055719865,0.00030000607,0.009285786,0.00074463745,0.003251249,0.0015714321,0.0015070132,0.051807184],"study_design_scores_gemma":[0.000004964737,0.000041173822,0.9893077,0.000029228482,0.000016241962,0.000114212264,0.003945616,0.00014900648,0.00048640673,0.0001864232,0.0057126153,0.0000063832263],"about_ca_topic_score_codex":0.035223354,"about_ca_topic_score_gemma":0.050637066,"teacher_disagreement_score":0.99829924,"about_ca_system_score_codex":0.0020593158,"about_ca_system_score_gemma":0.0018951116,"threshold_uncertainty_score":0.07003671},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.12141391333673185,"score_gpt":0.31823695118200584,"score_spread":0.196823037845274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099966792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995338,0.000019076504,0.000105415646,0.000026287493,3.4812052e-7,0.0000032198236,0.000024087334,8.4792504e-7,0.00028697494],"genre_scores_gemma":[0.99953246,0.000046771955,0.0002169636,0.000012745044,9.563096e-7,0.0000041673516,0.00006833466,6.147571e-7,0.00011697513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993265,0.000019694045,0.0000052676282,0.000010508219,0.000013095935,0.000018731762],"domain_scores_gemma":[0.99965084,0.00010451141,0.00012423852,0.000012014406,0.000058210815,0.000050154977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035677178,0.00012933055,0.000104482984,0.0005891945,0.00020418892,0.00040438646,0.00009197722,0.00017189971,0.002300165],"category_scores_gemma":[0.0006299282,0.00009406226,0.0002341586,0.00038368662,0.0001454398,0.00069351064,0.0002158887,0.00016767721,0.00015343023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018882209,0.0001005626,0.97244316,0.000039936236,0.000026904747,0.0001043917,0.0046305247,0.00011403889,0.004091347,0.0001478778,0.0001728189,0.017939655],"study_design_scores_gemma":[0.000005454724,0.0002094048,0.9804971,0.000015303334,0.000019876055,0.00016727543,0.015763424,0.0021312733,0.00046027557,0.00012947622,0.0005926358,0.000008458472],"about_ca_topic_score_codex":0.0053113187,"about_ca_topic_score_gemma":0.010488799,"teacher_disagreement_score":0.0053113187,"about_ca_system_score_codex":0.00020997578,"about_ca_system_score_gemma":0.00017228696,"threshold_uncertainty_score":0.010560811},"labels":[],"label_agreement":null},{"id":"W2100842895","doi":"10.22004/ag.econ.273610","title":"Cost-Benefit Analysis Case Study on Regulations to Lower the Level of Sulphur in Gasoline","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gasoline; Harm; Cost–benefit analysis; Economic analysis; Order (exchange); Net present value; Natural resource economics; Economic cost; Environmental economics; Business; Public economics; Economics; Agricultural economics; Engineering; Production (economics); Waste management; Finance; Microeconomics","score_opus":0.2837293489248779,"score_gpt":0.39031356735952777,"score_spread":0.10658421843464988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100842895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7815343,0.002841453,0.031854574,0.0035653168,0.00020061247,0.0039895913,0.0050842646,0.00018514665,0.17074475],"genre_scores_gemma":[0.96667504,0.0011698127,0.019431386,0.0002683997,0.000028514884,0.0008565645,0.00067957985,0.000018846971,0.01087191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964083,0.0019947756,0.00007257552,0.00012146997,0.0009271142,0.0004757815],"domain_scores_gemma":[0.99402034,0.004435448,0.00017340665,0.00019136826,0.0009773208,0.0002021464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038929824,0.0011748188,0.00077879,0.0019896168,0.0015465387,0.0015847777,0.0016204695,0.0028258087,0.0067618913],"category_scores_gemma":[0.006745712,0.000436899,0.00165019,0.001985268,0.00095437246,0.00101233,0.0010601872,0.0013387002,0.00033886684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027919752,0.0020965682,0.009632447,0.0011253039,0.0005268934,0.0038063002,0.0006056877,0.8127953,0.0037182388,0.102461874,0.015806906,0.04463247],"study_design_scores_gemma":[0.003505609,0.0058296886,0.028179329,0.000801888,0.0015206512,0.0019892016,0.005078457,0.81310743,0.011202116,0.048067696,0.08029724,0.00042064535],"about_ca_topic_score_codex":0.13695024,"about_ca_topic_score_gemma":0.1416795,"teacher_disagreement_score":0.13695024,"about_ca_system_score_codex":0.010511029,"about_ca_system_score_gemma":0.0060099387,"threshold_uncertainty_score":0.2723062},"labels":[],"label_agreement":null},{"id":"W2101524309","doi":"10.22004/ag.econ.132424","title":"Overview: The Regional Economics of Child Care","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"W.K. Kellogg Foundation","keywords":"Economic sector; Spillover effect; Child care; Private sector; Welfare; Public sector; Public economics; Economics; Economic growth; Business; Medicine; Economy; Nursing; Market economy","score_opus":0.03714150503017011,"score_gpt":0.2616737852790643,"score_spread":0.2245322802488942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101524309","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018394692,0.64824086,0.00448977,0.03696698,0.0033416245,0.00004121581,0.002946085,0.00015954426,0.30197445],"genre_scores_gemma":[0.04505734,0.88626647,0.0032120196,0.004448385,0.0070027644,0.00009041972,0.001725127,0.00021531373,0.051982123],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992836,0.00029666265,0.000026972713,0.00009346905,0.00022198039,0.000077455385],"domain_scores_gemma":[0.9990434,0.00035002,0.0001074611,0.00007253209,0.00035944913,0.00006713997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010805714,0.0009001915,0.0005690731,0.0031170968,0.00054389663,0.0035058865,0.0011375969,0.0016076573,0.023946248],"category_scores_gemma":[0.002150141,0.0003431053,0.0007899747,0.0061072824,0.000798483,0.0024694991,0.0012174578,0.0018762293,0.0066583357],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024094044,0.000024848585,0.0009095955,0.0009986862,0.000035129353,0.00007062075,0.00011877173,0.0023680972,0.000098314995,0.39070606,0.52912694,0.07551887],"study_design_scores_gemma":[0.000005622821,0.000008451293,0.0027222945,0.0006201811,0.000018574086,0.00013668214,0.00009620587,0.00037358588,0.000044757384,0.018572217,0.9773881,0.000013243335],"about_ca_topic_score_codex":0.032400936,"about_ca_topic_score_gemma":0.020578092,"teacher_disagreement_score":0.032400936,"about_ca_system_score_codex":0.00414774,"about_ca_system_score_gemma":0.002870334,"threshold_uncertainty_score":0.080108225},"labels":[],"label_agreement":null},{"id":"W2103012400","doi":"10.22004/ag.econ.20284","title":"MARKETING OF BIOTECH FUNCTIONAL FOODS IN THE US","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Marketing; Business; Order (exchange); Core (optical fiber); Biotechnology; Engineering; Biology","score_opus":0.10777863073594275,"score_gpt":0.3362432306231048,"score_spread":0.22846459988716206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103012400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7946447,0.005502555,0.002931275,0.01676337,0.00010567998,0.00006218439,0.00062497315,0.0000898407,0.17927541],"genre_scores_gemma":[0.97777814,0.0026154283,0.0020112547,0.0021132566,0.000028242463,0.000020259207,0.00032656098,0.000015537822,0.015091261],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995598,0.00017769237,0.000015323247,0.00006369859,0.00013982673,0.0000436916],"domain_scores_gemma":[0.99874395,0.0006670104,0.00022138117,0.000069604495,0.00017836023,0.000119762866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015493385,0.00013828758,0.00008814803,0.0007549354,0.0007245765,0.001184786,0.00013376115,0.0005155297,0.0061157225],"category_scores_gemma":[0.0029820788,0.00009793807,0.00012278928,0.0010222333,0.0005855913,0.0009696438,0.00044160848,0.00051384675,0.00038758307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009624211,0.0010965527,0.12507416,0.0003865887,0.000045480243,0.0005705472,0.0076340013,0.0016332979,0.021572672,0.1313544,0.03889272,0.67077714],"study_design_scores_gemma":[0.00005082771,0.000847106,0.49176374,0.0004855061,0.0000534087,0.0006128847,0.00798054,0.0032954423,0.011446127,0.03835951,0.44504657,0.000058306498],"about_ca_topic_score_codex":0.017346371,"about_ca_topic_score_gemma":0.028308813,"teacher_disagreement_score":0.017346371,"about_ca_system_score_codex":0.0024843356,"about_ca_system_score_gemma":0.0012773685,"threshold_uncertainty_score":0.034490824},"labels":[],"label_agreement":null},{"id":"W2103327289","doi":"10.22004/ag.econ.122738","title":"The Influence of Market Returns and Government Payments on Canadian Farmland Values","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Payment; Government (linguistics); Economics; Decoupling (probability); Transfer payment; Business; Finance; Market economy","score_opus":0.015423712186486733,"score_gpt":0.19272417529666375,"score_spread":0.17730046311017703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103327289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97849077,0.001307734,0.00064139254,0.001112896,0.0000188455,0.000022731685,0.0086726425,0.000037643025,0.009695288],"genre_scores_gemma":[0.9943575,0.0005959303,0.00029508007,0.000037423953,0.000005686867,0.0000047786484,0.0026004664,0.0000070262563,0.002096117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988716,0.0001053661,0.00005972434,0.00015473537,0.00044429462,0.00036425414],"domain_scores_gemma":[0.99529666,0.0009473553,0.0011044317,0.00016620364,0.0021019627,0.0003834446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009938414,0.00031990066,0.00036335114,0.0021621645,0.0010862511,0.0019902466,0.00058606867,0.00027385767,0.0018414994],"category_scores_gemma":[0.0071723573,0.00020235815,0.0006089883,0.003926686,0.0006003267,0.0007211575,0.0006790037,0.00078219856,0.00021146575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008042754,0.000022834987,0.96890444,0.000043061424,0.00016126773,0.00022234644,0.00056005677,0.0044628633,0.00021593925,0.0022977823,0.0024109345,0.020618051],"study_design_scores_gemma":[0.0000030411788,0.000009709913,0.9922775,0.000016361157,0.00003363629,0.00003326728,0.0005055332,0.003125837,0.00013412764,0.00014851052,0.0036964866,0.000015888203],"about_ca_topic_score_codex":0.9927931,"about_ca_topic_score_gemma":0.9948314,"teacher_disagreement_score":0.02608442,"about_ca_system_score_codex":0.02608442,"about_ca_system_score_gemma":0.020198116,"threshold_uncertainty_score":0.18925661},"labels":[],"label_agreement":null},{"id":"W2105719137","doi":"10.22004/ag.econ.34183","title":"An Innovative Approach for Modeling Crop Yield Response to Fertilizer Nutrients","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Canola; Fertilizer; Agronomy; Yield (engineering); Mathematics; Nitrogen; Environmental science; Nitrogen fertilizer; Crop; Crop yield; Biology; Chemistry","score_opus":0.10991033421667973,"score_gpt":0.2556056054623683,"score_spread":0.1456952712456886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105719137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04807486,0.00011937472,0.9485842,0.000116682946,0.000024921588,0.00006824508,0.00034894742,0.00028885834,0.002373948],"genre_scores_gemma":[0.836,0.00042023865,0.1552739,0.000114024886,0.00003791885,0.00033620792,0.00049041276,0.00008023448,0.007247133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997093,0.000091093854,0.000014249433,0.00008998124,0.00005704303,0.000038155944],"domain_scores_gemma":[0.999742,0.0001484296,0.000041303385,0.00001614907,0.000046403937,0.000005726202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068408105,0.00060064025,0.00044220834,0.00026989338,0.0001615817,0.0005113393,0.0010683058,0.0008984263,0.0013405827],"category_scores_gemma":[0.0014725878,0.0003181797,0.0007798909,0.00052693195,0.00020194278,0.00042564896,0.00040342502,0.00077047566,0.00024877719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003116997,0.00004549599,0.0024429953,0.000050478237,0.00008299096,0.0000584578,0.00003796782,0.9732925,0.0056109834,0.005383254,0.00026360367,0.012699998],"study_design_scores_gemma":[0.0000044052726,0.000019311665,0.0005668641,0.0000018571483,0.000013929131,0.000012190777,0.000004419462,0.9970765,0.00051928166,0.001256864,0.00051984424,0.000004518816],"about_ca_topic_score_codex":0.0123841865,"about_ca_topic_score_gemma":0.008116232,"teacher_disagreement_score":0.0123841865,"about_ca_system_score_codex":0.0005140667,"about_ca_system_score_gemma":0.0006074295,"threshold_uncertainty_score":0.024624169},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04240527778348368,"score_gpt":0.24519743695041027,"score_spread":0.20279215916692658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105786871","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34638187,0.013023924,0.0004724054,0.017560592,0.00009513202,0.000075058364,0.0004037017,0.00003463246,0.6219527],"genre_scores_gemma":[0.95644665,0.011304947,0.0004593827,0.0023236785,0.000055938894,0.00004110362,0.00017458938,0.000023187784,0.029170498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992268,0.00017221854,0.00001866159,0.00006159428,0.00018063605,0.0003400552],"domain_scores_gemma":[0.9985196,0.0005453008,0.0003797063,0.0000656077,0.00021498873,0.00027478737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008224146,0.00037270147,0.0002528493,0.002367002,0.005423506,0.005846703,0.00073274877,0.0023089524,0.010681224],"category_scores_gemma":[0.0013092571,0.00021956828,0.00037988438,0.0051128147,0.003922855,0.004013273,0.00312611,0.0029219475,0.0007145549],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027131438,0.0003492591,0.09057317,0.0010068835,0.00013693508,0.06851222,0.13121994,0.0017474917,0.0013459566,0.5475026,0.05249891,0.1048354],"study_design_scores_gemma":[0.00004236362,0.00015605282,0.124070056,0.0010400173,0.000104545135,0.010354159,0.23409985,0.0012763045,0.0009872139,0.022556638,0.60517347,0.00013925885],"about_ca_topic_score_codex":0.07430797,"about_ca_topic_score_gemma":0.105581,"teacher_disagreement_score":0.07430797,"about_ca_system_score_codex":0.0056512444,"about_ca_system_score_gemma":0.0026945688,"threshold_uncertainty_score":0.14775091},"labels":[],"label_agreement":null},{"id":"W2108380666","doi":"10.22004/ag.econ.20761","title":"Decision Sequence in the Nested-Logit Model of Recreation Choice: An Application to Oregon Marine Sport Fishing (DRAFT)","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nested logit; Mixed logit; Recreation; Econometrics; Sequence (biology); Logistic regression; Fishing; Logit; Nested set model; Economics; Statistics; Computer science; Mathematics; Fishery; Ecology; Data mining","score_opus":0.1445182024757144,"score_gpt":0.25927944030067623,"score_spread":0.11476123782496184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108380666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028942311,0.00029036016,0.96253365,0.0011741255,0.00012633912,0.00022673888,0.00051913765,0.00030977555,0.005877585],"genre_scores_gemma":[0.49549484,0.0017522174,0.46603486,0.0005411251,0.00029191357,0.0016731954,0.0016758903,0.0002876725,0.03224824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971878,0.0020631547,0.00008287183,0.00022644634,0.00028792073,0.00015179274],"domain_scores_gemma":[0.9817747,0.015941016,0.0004432095,0.00039911328,0.0011589818,0.00028299156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011255917,0.0010574235,0.0019253212,0.00077995076,0.0011187802,0.0018281667,0.0026758143,0.0017461344,0.027966946],"category_scores_gemma":[0.030697169,0.0010949387,0.0021810834,0.0018588062,0.0013858118,0.0037536712,0.0015767749,0.0035794077,0.0027802575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017131263,0.00028581664,0.005027582,0.00015620104,0.00011162515,0.00050176,0.0006614987,0.45673072,0.0002711877,0.48574752,0.0074627316,0.04287209],"study_design_scores_gemma":[0.00006793134,0.000047779577,0.0006844099,0.000021504029,0.00003374996,0.000081406506,0.000066013454,0.82765967,0.000087351014,0.16897173,0.002250885,0.000027643047],"about_ca_topic_score_codex":0.04335387,"about_ca_topic_score_gemma":0.051520687,"teacher_disagreement_score":0.04335387,"about_ca_system_score_codex":0.002154892,"about_ca_system_score_gemma":0.0029386114,"threshold_uncertainty_score":0.09355873},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04330354234291194,"score_gpt":0.2309552309849044,"score_spread":0.18765168864199244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108666651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994307,0.0003910254,0.000035812318,0.0012560061,0.000011943605,0.000008177327,0.00010879772,0.0000024838557,0.0038787455],"genre_scores_gemma":[0.9975164,0.00038885535,0.000054810025,0.000111068075,0.0000036423446,0.000004178825,0.00005098897,0.0000026087175,0.0018674415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891305,0.00010676639,0.000030719206,0.0001144126,0.000200216,0.0006349388],"domain_scores_gemma":[0.9985165,0.00013834445,0.00024133868,0.00004547798,0.0003605372,0.0006977561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872853,0.00016731546,0.0002948576,0.0014083869,0.013212492,0.003421883,0.0013476362,0.0006220959,0.003127895],"category_scores_gemma":[0.001916833,0.00019391156,0.00021125657,0.0031936727,0.004705317,0.0006420185,0.0026693614,0.0013749733,0.00016081885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021767459,0.00017085507,0.6585883,0.000097580334,0.00003765754,0.0009966064,0.28081936,0.00044286816,0.0010588146,0.00911863,0.0040140725,0.044437665],"study_design_scores_gemma":[0.000011873332,0.000035852583,0.62726915,0.00016252503,0.00001722879,0.00013365566,0.3564617,0.00035575495,0.00012399358,0.00053385226,0.014847025,0.000047351637],"about_ca_topic_score_codex":0.9926231,"about_ca_topic_score_gemma":0.9981806,"teacher_disagreement_score":0.0588352,"about_ca_system_score_codex":0.0588352,"about_ca_system_score_gemma":0.06960366,"threshold_uncertainty_score":0.42688125},"labels":[],"label_agreement":null},{"id":"W2108706257","doi":"10.22004/ag.econ.104525","title":"Benefit-Cost Assessment of Different Homestead Vegetable Gardening on Improving Household Food and Nutrition Security in Rural Bangladesh","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Food security; Livelihood; Business; Resource (disambiguation); Agricultural economics; Food processing; Natural resource economics; Developing country; Agriculture; Economic growth; Economics; Geography; Food science","score_opus":0.03460221120066114,"score_gpt":0.2538403254132463,"score_spread":0.21923811421258516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108706257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973635,0.00015269492,0.00039005865,0.00003728908,0.0000019954218,0.00007013948,0.00031326868,0.0000032440641,0.0016677639],"genre_scores_gemma":[0.99916303,0.00010276414,0.00041913873,0.000004526735,0.0000010468001,0.000027374945,0.00010302801,0.0000011207725,0.00017789798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990514,0.0005380369,0.000044930388,0.00006150575,0.00020724941,0.00009694834],"domain_scores_gemma":[0.998106,0.0010675376,0.0002453092,0.0000930612,0.0003529502,0.00013515477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00167067,0.00036068718,0.00037163604,0.0009216233,0.00022261942,0.0005239015,0.0003896371,0.00036747183,0.0019932988],"category_scores_gemma":[0.0034246596,0.00013019548,0.0006800992,0.0012032859,0.0003784692,0.0005797131,0.0005558843,0.00021361078,0.000111196634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024974853,0.002451162,0.57877624,0.0014947046,0.0012112877,0.001322444,0.00063185627,0.16020064,0.029789407,0.006255061,0.0006696134,0.19222273],"study_design_scores_gemma":[0.00040792432,0.014434251,0.92309415,0.0001502115,0.00096604816,0.00026889006,0.0019970324,0.044275425,0.009320816,0.0026159156,0.0023709682,0.00009832208],"about_ca_topic_score_codex":0.00973649,"about_ca_topic_score_gemma":0.022418926,"teacher_disagreement_score":0.00973649,"about_ca_system_score_codex":0.0025646042,"about_ca_system_score_gemma":0.0007416204,"threshold_uncertainty_score":0.019359589},"labels":[],"label_agreement":null},{"id":"W2109372891","doi":"10.22004/ag.econ.273468","title":"Assessing Economic Performance among North American Manufacturing Establishments, 1870/71: Data, Methodology and Measurement Issues","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Total factor productivity; Census; Productivity; Econometrics; Index (typography); Variety (cybernetics); Sample (material); Economics; Variable (mathematics); Estimation; Capital (architecture); Production function; Instrumental variable; Production (economics); Statistics; Computer science; Macroeconomics; Geography; Mathematics; Population","score_opus":0.18006795850473858,"score_gpt":0.28294460522536097,"score_spread":0.10287664672062238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109372891","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601851,0.0009446353,0.007069785,0.00041009305,0.000052372892,0.00014247159,0.014589466,0.000040679824,0.016565306],"genre_scores_gemma":[0.95570415,0.0011491115,0.013897271,0.00015075393,0.00006481329,0.00046972715,0.024116384,0.000037258775,0.0044105477],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981925,0.0005171627,0.00021589636,0.00026398018,0.0006455662,0.00016491754],"domain_scores_gemma":[0.9908937,0.0029882556,0.002052679,0.0010657946,0.0027275067,0.0002720931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035644476,0.00024447605,0.00026768027,0.0032555042,0.00079645094,0.0009188329,0.0005377144,0.00019090598,0.0013879561],"category_scores_gemma":[0.009400215,0.00016530075,0.00018829317,0.007727008,0.0010267401,0.0004979159,0.0008033086,0.00050893985,0.00041285815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049107537,0.000043555854,0.9568597,0.00011697064,0.000046245466,0.00010309361,0.0033476152,0.0010982753,0.00047152338,0.0019439762,0.0044578575,0.03146208],"study_design_scores_gemma":[0.0000019025271,0.000020512716,0.9912074,0.000031235442,0.000010025407,0.000038379818,0.0014973036,0.00027691532,0.00042839738,0.00018200342,0.0062994035,0.0000065485274],"about_ca_topic_score_codex":0.1046375,"about_ca_topic_score_gemma":0.1978738,"teacher_disagreement_score":0.1046375,"about_ca_system_score_codex":0.0015098887,"about_ca_system_score_gemma":0.0012590674,"threshold_uncertainty_score":0.20805687},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0736223374811566,"score_gpt":0.25224382487879327,"score_spread":0.17862148739763667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109773305","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16351381,0.038327966,0.0039592776,0.19093661,0.0017680239,0.00006101172,0.0011105201,0.00016607891,0.6001567],"genre_scores_gemma":[0.82765454,0.021894513,0.010154022,0.047860634,0.0004336235,0.0001041444,0.00072528777,0.000102098216,0.091071084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983565,0.0004790776,0.00010006974,0.00017441143,0.0006490629,0.00024082803],"domain_scores_gemma":[0.99655306,0.0013346738,0.00069619017,0.00017389508,0.0008927502,0.00034944803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002699412,0.0002304997,0.00011897138,0.0010315916,0.0026255748,0.003820429,0.00039582638,0.0031537754,0.0034134197],"category_scores_gemma":[0.0048912577,0.00020300767,0.00024733637,0.002136524,0.0016830931,0.0015060144,0.0008994267,0.0020008637,0.00058034225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023104178,0.00018024654,0.021788199,0.00026921995,0.000035260568,0.00047476683,0.007376494,0.0015994351,0.0068427515,0.5497609,0.13971041,0.27173135],"study_design_scores_gemma":[0.000014846122,0.00010685691,0.036101867,0.0007585868,0.000040018218,0.00027054673,0.003777659,0.00072771084,0.004966627,0.025312692,0.92784655,0.00007592589],"about_ca_topic_score_codex":0.057851166,"about_ca_topic_score_gemma":0.07601943,"teacher_disagreement_score":0.057851166,"about_ca_system_score_codex":0.0043412484,"about_ca_system_score_gemma":0.0057069594,"threshold_uncertainty_score":0.11502886},"labels":[],"label_agreement":null},{"id":"W2110147507","doi":"10.22004/ag.econ.45739","title":"Profiling Consumer Trend-setters in the Canadian Healthy-foods Market","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Marketing; Consumer demand; Healthy food; Profiling (computer programming); Food products; Advertising; Economics; Food science","score_opus":0.0404408629916451,"score_gpt":0.27860073169066557,"score_spread":0.23815986869902048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110147507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99241954,0.00010987124,0.00007357156,0.00040739082,0.0000065010595,0.000041099796,0.0011097386,0.0000052093906,0.005827065],"genre_scores_gemma":[0.99589217,0.00024122627,0.0002068732,0.00012963275,0.0000069158996,0.00001884636,0.0007923657,0.00000462978,0.0027073256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924976,0.00005895331,0.000026213116,0.00005515044,0.0003971014,0.0002127455],"domain_scores_gemma":[0.9977064,0.00017451325,0.00039815833,0.000050561484,0.0012462834,0.00042397398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009546021,0.00013937587,0.00013820177,0.0029441814,0.0022264312,0.001333542,0.000509124,0.0004219832,0.0033441782],"category_scores_gemma":[0.003363675,0.0001412534,0.00025468908,0.0038968208,0.00043507092,0.00062421086,0.0005679143,0.00043260714,0.00036240258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012434616,0.00009570307,0.967749,0.000026966914,0.000016898977,0.00014390127,0.008191179,0.00007932581,0.00078525965,0.00059514056,0.0027651805,0.019427132],"study_design_scores_gemma":[0.0000027850158,0.000022338048,0.98534924,0.000007760392,0.000006228518,0.00003322191,0.010359601,0.00042747826,0.00010151238,0.000033123717,0.0036416585,0.000015047973],"about_ca_topic_score_codex":0.9638976,"about_ca_topic_score_gemma":0.9843635,"teacher_disagreement_score":0.036102414,"about_ca_system_score_codex":0.010502299,"about_ca_system_score_gemma":0.0079657845,"threshold_uncertainty_score":0.07619983},"labels":[],"label_agreement":null},{"id":"W2113434713","doi":"10.22004/ag.econ.119800","title":"Impact of United States Corn-Based Ethanol Production on Land Use","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deforestation (computer science); Agricultural economics; Production (economics); Clearance; Land use; Scarcity; Ethanol fuel; Biofuel; Land use, land-use change and forestry; Crop; Corn ethanol; Agriculture; Environmental science; Natural resource economics; Agroforestry; Agricultural science; Business; Geography; Economics; Forestry; Biotechnology; Ecology","score_opus":0.045502126842240524,"score_gpt":0.24988734042332642,"score_spread":0.20438521358108588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113434713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894344,0.00023456306,0.00018499367,0.00008530155,0.000011828088,0.000009830202,0.0028600523,0.0000131234265,0.0071659824],"genre_scores_gemma":[0.9956721,0.00015717045,0.00012395711,0.000029076575,0.0000046288937,0.0000092916325,0.0028981967,0.0000042786146,0.001101408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970764,0.000081830716,0.000020835105,0.000051658637,0.000099755314,0.000038214257],"domain_scores_gemma":[0.9989405,0.00021711466,0.00045724463,0.00005791367,0.00024271577,0.000084440864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022860146,0.0002066846,0.00012298602,0.00043782266,0.00012551105,0.00074396905,0.00014753273,0.000119118165,0.0021828555],"category_scores_gemma":[0.0010173988,0.00005737665,0.00020925846,0.0010317694,0.00016283653,0.00025071495,0.0004078479,0.00020674414,0.0002982785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003103161,0.00018973259,0.9750108,0.000048771803,0.0002850313,0.00014789755,0.00008467953,0.004823853,0.0018295839,0.00070482783,0.0020309894,0.014533457],"study_design_scores_gemma":[0.000005367324,0.0001149327,0.99308735,0.000007991174,0.000053850923,0.00005909839,0.00023205952,0.0017557974,0.001771157,0.000080638376,0.0028248094,0.000007032294],"about_ca_topic_score_codex":0.024997065,"about_ca_topic_score_gemma":0.041800402,"teacher_disagreement_score":0.024997065,"about_ca_system_score_codex":0.0008750219,"about_ca_system_score_gemma":0.00030574744,"threshold_uncertainty_score":0.04970312},"labels":[],"label_agreement":null},{"id":"W2114313790","doi":"10.22004/ag.econ.23503","title":"CHARACTERISTICS OF THE DECLINING U.S. AGRICULTURAL TRADE SURPLUS","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Economic surplus; Economics; International economics; European union; International trade; Agriculture; Balance of trade; Per capita income; Free trade; Value (mathematics); Agricultural economics; Geography; Welfare","score_opus":0.059980071349884666,"score_gpt":0.20028516463465598,"score_spread":0.1403050932847713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114313790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978877,0.0011887214,0.00020395008,0.0011334541,0.000015624717,0.0000104928795,0.002192167,0.00002731415,0.01635128],"genre_scores_gemma":[0.99485683,0.00071541953,0.00015669003,0.00019193982,0.000018387946,0.0000057904726,0.0026868854,0.000014052913,0.0013539783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998048,0.000025852445,0.00002489864,0.000041611653,0.000060462775,0.0000424535],"domain_scores_gemma":[0.99835336,0.00020142629,0.0007694825,0.00006987877,0.0004686978,0.00013718496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053833984,0.00012269225,0.00025595372,0.0026358,0.0004790524,0.001368334,0.00014998048,0.0002797569,0.002829143],"category_scores_gemma":[0.002329874,0.00009571136,0.0001659951,0.0058576553,0.00047471444,0.0006505524,0.0004148293,0.00035188466,0.0005315471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002945415,0.00004513771,0.92737055,0.00010387224,0.00003715757,0.0006060221,0.0012251356,0.0021028963,0.0024495039,0.006267193,0.008788824,0.050709132],"study_design_scores_gemma":[0.0000057824923,0.000030299481,0.9827507,0.000039128634,0.000008942461,0.0002930651,0.0012139487,0.0006812679,0.00028008668,0.0012690815,0.013417633,0.000010021024],"about_ca_topic_score_codex":0.028115543,"about_ca_topic_score_gemma":0.040189236,"teacher_disagreement_score":0.028115543,"about_ca_system_score_codex":0.0014635958,"about_ca_system_score_gemma":0.0008179114,"threshold_uncertainty_score":0.055903792},"labels":[],"label_agreement":null},{"id":"W2116426521","doi":"10.22004/ag.econ.27972","title":"ANIMAL HEALTH: THE POTENTIAL ROLE FOR LIVESTOCK DISEASE INSURANCE","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Livestock; Bovine spongiform encephalopathy; Production (economics); Indemnity; Payment; Biosecurity; Outbreak; Animal welfare; Environmental health; Natural resource economics; Disease; Economics; Finance; Medicine; Actuarial science; Geography; Biology","score_opus":0.03683863330583271,"score_gpt":0.2405537718186979,"score_spread":0.20371513851286518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116426521","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007460131,0.038772095,0.00235295,0.7077034,0.0036508916,0.000054961143,0.00012380996,0.00007901101,0.23980272],"genre_scores_gemma":[0.526077,0.068591036,0.006658485,0.25839767,0.012020834,0.00017286449,0.00018567189,0.00005763279,0.12783884],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979982,0.0010574381,0.000048245212,0.00018746544,0.00042263113,0.00028598754],"domain_scores_gemma":[0.990157,0.0045772446,0.00066812296,0.00046747082,0.0012446507,0.0028855605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052422322,0.00030483556,0.00024725974,0.00070810446,0.0015257543,0.0045180805,0.00094196055,0.0067174667,0.0417824],"category_scores_gemma":[0.009364658,0.00015763905,0.0003579067,0.00032913388,0.0030139606,0.0031251991,0.0023450705,0.002579526,0.0024079862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016963585,0.000252856,0.016590957,0.0005118872,0.000044672615,0.0006305159,0.00052554073,0.00061988056,0.0010250087,0.34601536,0.2853154,0.3482982],"study_design_scores_gemma":[0.00004264647,0.0002208531,0.011105604,0.0021930626,0.000041433042,0.0013105344,0.0009468109,0.0011944684,0.00029515076,0.045091804,0.9375236,0.000033969096],"about_ca_topic_score_codex":0.0059096375,"about_ca_topic_score_gemma":0.009024551,"teacher_disagreement_score":0.0417824,"about_ca_system_score_codex":0.0025981339,"about_ca_system_score_gemma":0.005033111,"threshold_uncertainty_score":0.13977611},"labels":[],"label_agreement":null},{"id":"W2117297992","doi":"10.22004/ag.econ.6176","title":"An Economic Assessment of the BSE Crisis in Canada: Impact of Border Closure and BSE Recovery Programs","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autarky; Futures studies; Economics; Free trade; International trade; Herd; Payment; Business; International economics; Closure (psychology); Government (linguistics); Market economy; Welfare; Biology; Finance","score_opus":0.022680329707191912,"score_gpt":0.2432927546395699,"score_spread":0.22061242493237798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117297992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96967465,0.0016003704,0.00047335651,0.004786176,0.00004032917,0.00015271365,0.0022148292,0.000029058872,0.021028586],"genre_scores_gemma":[0.9960205,0.0009840264,0.00034094622,0.00025297396,0.000012356752,0.000016052112,0.0005640994,0.000005431061,0.0018037326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9971762,0.0005211161,0.00006103526,0.00010857575,0.00092136976,0.0012117127],"domain_scores_gemma":[0.997449,0.00048414842,0.00027799016,0.000057716014,0.0012319062,0.0004992669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015926288,0.0006219142,0.0006967464,0.0019083705,0.0023308473,0.004027884,0.0011645977,0.0014419038,0.0019349313],"category_scores_gemma":[0.0056182514,0.00028392667,0.0007330872,0.0022715568,0.0016797635,0.0010108926,0.001473837,0.0015455082,0.00007784074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053865477,0.0013069018,0.30791417,0.0006507637,0.00090832444,0.0033977183,0.0012192922,0.5178793,0.0048311446,0.057372276,0.017817974,0.08131561],"study_design_scores_gemma":[0.00055968505,0.0015480451,0.67212194,0.00027370063,0.00059079746,0.00040759312,0.021331832,0.26162326,0.0035724728,0.010985155,0.026668118,0.00031736662],"about_ca_topic_score_codex":0.97532815,"about_ca_topic_score_gemma":0.9764143,"teacher_disagreement_score":0.068703294,"about_ca_system_score_codex":0.068703294,"about_ca_system_score_gemma":0.049820084,"threshold_uncertainty_score":0.4984796},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0588197188615614,"score_gpt":0.25134206782581403,"score_spread":0.19252234896425263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119453437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910122,0.00033692975,0.0004251185,0.0006598835,0.000023578905,0.0023322613,0.0004111346,0.000017373115,0.004781436],"genre_scores_gemma":[0.9967133,0.0004603681,0.0005930849,0.000083091596,0.000016654905,0.0007057095,0.00015940361,0.000003819841,0.0012647404],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9966114,0.0019056738,0.00010888838,0.00014834685,0.0005632322,0.0006623653],"domain_scores_gemma":[0.99058306,0.0051093744,0.0010096417,0.00023721911,0.00082569715,0.0022350387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004957138,0.0009118401,0.00044401834,0.0017678654,0.0015320006,0.0017981395,0.0010810462,0.0014249878,0.0062471535],"category_scores_gemma":[0.012591896,0.00033423337,0.0009894219,0.001212831,0.0009718589,0.0014300825,0.0012157584,0.001360069,0.00030666936],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.122487776,0.078782365,0.18502907,0.0090189595,0.0019352019,0.008357412,0.009121379,0.14490135,0.030722054,0.0197209,0.0063443445,0.38357916],"study_design_scores_gemma":[0.03167461,0.26888746,0.55387205,0.0016156823,0.0019806118,0.0010251417,0.023451263,0.07482751,0.013711173,0.005276215,0.023370447,0.00030782007],"about_ca_topic_score_codex":0.03040237,"about_ca_topic_score_gemma":0.024843993,"teacher_disagreement_score":0.03040237,"about_ca_system_score_codex":0.0085588405,"about_ca_system_score_gemma":0.0062720296,"threshold_uncertainty_score":0.06209904},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.026957954320743226,"score_gpt":0.2152094313224809,"score_spread":0.1882514770017377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120183203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536645,0.00072524813,0.0001871534,0.0004853691,0.000007632026,0.000012464162,0.0002759235,0.0000071606723,0.0029326351],"genre_scores_gemma":[0.99743855,0.0008804869,0.00011280856,0.0001275698,0.00004265403,0.0000131052475,0.0004403747,0.00000424656,0.00094014977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927086,0.0003279959,0.000046875,0.00009015406,0.00007467544,0.00018932341],"domain_scores_gemma":[0.97791684,0.015084623,0.004868343,0.000757177,0.0003980742,0.0009748294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015332841,0.00032061632,0.00048395744,0.0013238216,0.0008073505,0.0019394683,0.0004883052,0.0012081935,0.009422251],"category_scores_gemma":[0.0058702733,0.00022086501,0.0009115817,0.0023004834,0.0011659579,0.0016862563,0.0015598186,0.0019255669,0.00079110585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000867081,0.003114581,0.945674,0.00032308008,0.00047970488,0.0020454207,0.0011261019,0.00799923,0.00080510933,0.008319978,0.0028282446,0.026417483],"study_design_scores_gemma":[0.00014579161,0.00084641535,0.9671879,0.00018346157,0.0003749947,0.0007563595,0.006627982,0.011909956,0.0007971062,0.0049580517,0.006173918,0.000038101753],"about_ca_topic_score_codex":0.005864727,"about_ca_topic_score_gemma":0.006582182,"teacher_disagreement_score":0.009422251,"about_ca_system_score_codex":0.0007715494,"about_ca_system_score_gemma":0.0004532088,"threshold_uncertainty_score":0.031520545},"labels":[],"label_agreement":null},{"id":"W2124549292","doi":"10.22004/ag.econ.21240","title":"Policy Instruments and Agricultural Water Allocation in the Bow River Basin of Southern Alberta","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Irrigation; Agriculture; Water resource management; Agricultural productivity; Water resources; Drainage basin; Deficit irrigation; Environmental science; Farm water; Water use; Water trading; Water supply; Water conservation; Return flow; Hydrology (agriculture); Geography; Irrigation management; Environmental engineering; Economics; Engineering; Flow (mathematics)","score_opus":0.010228141835297909,"score_gpt":0.18216885283044368,"score_spread":0.17194071099514577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124549292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676976,0.00038577034,0.0051929173,0.00115545,0.000008947224,0.00007187134,0.00056703755,0.00006354115,0.02485671],"genre_scores_gemma":[0.9924751,0.00039082923,0.0017613837,0.000056466037,0.0000025702288,0.000022673767,0.00018744486,0.000006438316,0.0050969804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99960905,0.00011240534,0.000009272362,0.00003728315,0.00008214712,0.00014992988],"domain_scores_gemma":[0.9998124,0.00007505493,0.000034467575,0.0000068418453,0.00004123038,0.000030071382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005450046,0.00021828723,0.00026879917,0.00053048955,0.00085153565,0.0021671269,0.00063394447,0.0005254561,0.0017552495],"category_scores_gemma":[0.0012115383,0.00020188367,0.00015667012,0.001435565,0.0011292939,0.0004826114,0.00047985977,0.00033716584,0.000082773746],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021971112,0.000113396745,0.0379308,0.00010460914,0.00005318505,0.0002934047,0.00048001562,0.819258,0.0025852434,0.10719898,0.0034714993,0.028291142],"study_design_scores_gemma":[0.00025850517,0.00021983802,0.10005496,0.00010657127,0.0000939943,0.00007736067,0.008634604,0.77449566,0.0027575279,0.08408822,0.029104736,0.000108082415],"about_ca_topic_score_codex":0.81450284,"about_ca_topic_score_gemma":0.9041966,"teacher_disagreement_score":0.18549716,"about_ca_system_score_codex":0.02069474,"about_ca_system_score_gemma":0.016099468,"threshold_uncertainty_score":0.37317914},"labels":[],"label_agreement":null},{"id":"W2126916296","doi":"10.22004/ag.econ.32021","title":"South Dakota's Hog Market: Developments and Prospects","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Cash; Agricultural economics; Quarter (Canadian coin); Price index; Economics; Geography; Business; Finance; Econometrics","score_opus":0.022912595527076005,"score_gpt":0.19026732046029718,"score_spread":0.16735472493322118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126916296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222711,0.0048846556,0.00028908296,0.016445154,0.00016113785,0.000046650955,0.004090742,0.000024594792,0.051786866],"genre_scores_gemma":[0.96437865,0.007203603,0.0010019083,0.0018548878,0.00007559314,0.000034487024,0.0024965075,0.00001384676,0.02294048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985254,0.0000159061,0.000008765388,0.000025583051,0.00004534724,0.0000517897],"domain_scores_gemma":[0.999141,0.00008440354,0.00017878543,0.000014837821,0.0003050663,0.00027591106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049617473,0.00015751044,0.000104935905,0.0007283078,0.0011136789,0.002145636,0.00042410239,0.00051864766,0.008979002],"category_scores_gemma":[0.0004523178,0.00011615347,0.00012505792,0.0011417798,0.00052138825,0.0013240762,0.00066182105,0.0006311393,0.00090227986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035967064,0.00047632624,0.8050965,0.0006709197,0.00004171797,0.002316867,0.004251397,0.0011592133,0.009329494,0.014815111,0.039889243,0.12159351],"study_design_scores_gemma":[0.000010799501,0.000115333074,0.89628977,0.00017704628,0.000009875432,0.0004102212,0.012467357,0.0015032245,0.0006210205,0.00067726854,0.08768806,0.000030103565],"about_ca_topic_score_codex":0.16486463,"about_ca_topic_score_gemma":0.46627307,"teacher_disagreement_score":0.16486463,"about_ca_system_score_codex":0.004311696,"about_ca_system_score_gemma":0.0037475028,"threshold_uncertainty_score":0.32781005},"labels":[],"label_agreement":null},{"id":"W2129928178","doi":"10.22004/ag.econ.19968","title":"Nutrition and Health: Structural Analysis of Egg Consumption in Canada","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Presentation (obstetrics); Library science; Consumption (sociology); Agriculture; Agricultural economics; Political science; Economy; Geography; Economic history; Economics; Medicine; Sociology; Archaeology; Social science","score_opus":0.05286005484914776,"score_gpt":0.23261674807772792,"score_spread":0.17975669322858015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129928178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98824626,0.00028684782,0.0006772701,0.0005458116,0.0000067231235,0.00002890718,0.00828444,0.000029133094,0.0018945384],"genre_scores_gemma":[0.99223447,0.00019111155,0.0003542816,0.000024233239,0.0000052999335,0.000013877902,0.0053365934,0.0000061893993,0.0018339668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921703,0.00009525523,0.00003425067,0.00013296684,0.00023464955,0.00028576035],"domain_scores_gemma":[0.9970245,0.0008371193,0.0005288078,0.00026371557,0.0010231674,0.00032271288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010924183,0.00030868337,0.00053610466,0.0017124024,0.0011082613,0.0009957559,0.0010368475,0.000513692,0.004625738],"category_scores_gemma":[0.005038561,0.0003035158,0.0011648578,0.0039016602,0.0008785893,0.0003582626,0.0010148571,0.00076454075,0.0003218729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027943015,0.00008564676,0.95620185,0.00004709914,0.00027049432,0.00020288207,0.0006843536,0.020585533,0.00045047773,0.004171317,0.0028154158,0.014205495],"study_design_scores_gemma":[0.000016757882,0.00003311782,0.9564965,0.000012530657,0.000043688848,0.00004654594,0.0008213117,0.03969065,0.00014611195,0.00064726075,0.00201699,0.000028545968],"about_ca_topic_score_codex":0.9888574,"about_ca_topic_score_gemma":0.98514473,"teacher_disagreement_score":0.017226309,"about_ca_system_score_codex":0.017226309,"about_ca_system_score_gemma":0.016114747,"threshold_uncertainty_score":0.12498623},"labels":[],"label_agreement":null},{"id":"W2130231783","doi":"","title":"Plant Heterogeneity and Applied General Equilibrium Models of Trade: Lessons from the Canada-US Free Trade Agreement","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Econometrics; Applied general equilibrium; General equilibrium theory; Free trade; Econometric model; International trade; International economics; Microeconomics","score_opus":0.0761527210684463,"score_gpt":0.20395642301091269,"score_spread":0.12780370194246637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130231783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73636526,0.003118167,0.1867705,0.0091644395,0.00014749305,0.00022249941,0.0029939269,0.0005609765,0.060656823],"genre_scores_gemma":[0.97389483,0.0013201409,0.012080358,0.00033060083,0.000056804492,0.000053355863,0.00090783724,0.00007596485,0.011280087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987643,0.0004082696,0.000043621374,0.00024544922,0.00022265395,0.0003158144],"domain_scores_gemma":[0.9958282,0.002362285,0.0005185034,0.00045583307,0.00064017985,0.00019494354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003922462,0.0011913627,0.0017235776,0.0014985193,0.0017413765,0.0032632714,0.0033659488,0.0019444701,0.0043051974],"category_scores_gemma":[0.009724278,0.000704064,0.0018714177,0.0029311115,0.0026108925,0.0021748813,0.0016740637,0.0023824582,0.00041616627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007205351,0.00004503312,0.0090065515,0.000038008115,0.00009462624,0.00012880501,0.0003059406,0.80963373,0.00008691785,0.17038639,0.0017754076,0.008426565],"study_design_scores_gemma":[0.00007873471,0.000026786041,0.005297505,0.000027344762,0.00005684461,0.000044216067,0.00017761713,0.8373702,0.00010590893,0.15282916,0.0039353846,0.00005036211],"about_ca_topic_score_codex":0.7650512,"about_ca_topic_score_gemma":0.6676969,"teacher_disagreement_score":0.23494881,"about_ca_system_score_codex":0.013587543,"about_ca_system_score_gemma":0.006953864,"threshold_uncertainty_score":0.4726649},"labels":[],"label_agreement":null},{"id":"W2133573963","doi":"10.22004/ag.econ.23917","title":"The Prophecies of the Naysayers - Assessing the Vision of the Protectionists in the U.S.-Canada Debate on Agricultural Reciprocity, 1846-1854","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reciprocity (cultural anthropology); Protectionism; Liberalization; Argument (complex analysis); Economics; Period (music); Positive economics; International trade; International economics; Political science; Political economy; Sociology; Social science; Market economy; Philosophy","score_opus":0.016972433731158806,"score_gpt":0.2332551973834409,"score_spread":0.21628276365228208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133573963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5918619,0.0073835026,0.0009981499,0.13858984,0.00032895748,0.000038217186,0.00031107638,0.000017602762,0.2604708],"genre_scores_gemma":[0.9925297,0.0007557769,0.00019989353,0.00094040914,0.000013089743,0.00000396614,0.000015038956,0.0000042811957,0.0055378466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99539006,0.0014551847,0.000083553656,0.00036699037,0.0015703297,0.0011339098],"domain_scores_gemma":[0.995799,0.0014005505,0.00033557802,0.00013527011,0.0015987377,0.0007308036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071280533,0.00022312727,0.0002367219,0.0018116737,0.028639698,0.008611969,0.0007067635,0.0023610247,0.0026624608],"category_scores_gemma":[0.011830629,0.00022245092,0.00015931958,0.0020933473,0.026432697,0.0028597903,0.0034380334,0.003574875,0.00013914921],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108035965,0.000015939546,0.021682637,0.000068671055,0.000017192438,0.00039185712,0.35848656,0.00052908104,0.00049985875,0.56507593,0.02446239,0.028661897],"study_design_scores_gemma":[0.000019150675,0.00003040412,0.061000597,0.00044542944,0.000035811114,0.00023218231,0.41859666,0.00075076456,0.0008132093,0.045616847,0.47235936,0.000099549245],"about_ca_topic_score_codex":0.9611553,"about_ca_topic_score_gemma":0.980419,"teacher_disagreement_score":0.10111461,"about_ca_system_score_codex":0.10111461,"about_ca_system_score_gemma":0.08965086,"threshold_uncertainty_score":0.73364127},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.08830441178920943,"score_gpt":0.2426757613055415,"score_spread":0.15437134951633208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134005154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882488,0.00016575448,0.003454538,0.00016943573,0.0000061982155,0.000032586155,0.00040653467,0.00001204527,0.0075040166],"genre_scores_gemma":[0.9965655,0.00018365336,0.0024505935,0.000017559516,0.000002698546,0.000027688879,0.0003068888,0.0000055492583,0.00043991703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991297,0.00038209086,0.000049888084,0.000091673035,0.00015808894,0.00018856497],"domain_scores_gemma":[0.9977585,0.0011971364,0.00052984204,0.00022874337,0.00020816895,0.00007750448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016260195,0.0005532704,0.00052907865,0.0018087107,0.00097059406,0.002192076,0.00080467877,0.00097016734,0.002686489],"category_scores_gemma":[0.0061890436,0.0003799061,0.00096000254,0.0052081817,0.0011422205,0.001866068,0.0014854741,0.0010098212,0.00008685241],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042120845,0.00040984392,0.18847078,0.000093966824,0.00017241215,0.00082949287,0.00064567523,0.6999899,0.00084203697,0.09075511,0.0014725986,0.015896901],"study_design_scores_gemma":[0.00016780238,0.00035767947,0.17595702,0.00011863075,0.00035717632,0.00037806452,0.0045302478,0.76835805,0.00251806,0.040531237,0.0066067805,0.000119345656],"about_ca_topic_score_codex":0.108664915,"about_ca_topic_score_gemma":0.06848259,"teacher_disagreement_score":0.108664915,"about_ca_system_score_codex":0.003600254,"about_ca_system_score_gemma":0.0009338947,"threshold_uncertainty_score":0.21606487},"labels":[],"label_agreement":null},{"id":"W2134269398","doi":"10.22004/ag.econ.21358","title":"The relationship of U.S. and Canadian Cull Cow Prices to lean beef prices: A DAG Analysis","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agricultural science; Economics; Animal science; Agricultural economics; Business; Biology","score_opus":0.07118607233961143,"score_gpt":0.22287960058552234,"score_spread":0.15169352824591092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134269398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818725,0.0005963612,0.0032408726,0.0023073363,0.000045293516,0.000027708666,0.008091244,0.0001626455,0.0036560078],"genre_scores_gemma":[0.99169683,0.0003253683,0.00064033055,0.00009663434,0.00002601017,0.000009489562,0.0038517013,0.000030516108,0.0033231366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992453,0.00017691303,0.000029545008,0.00014299348,0.00008335702,0.00032196744],"domain_scores_gemma":[0.99227685,0.00477272,0.00069151714,0.0004454414,0.00097468495,0.00083874824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026704357,0.0004188039,0.0006784348,0.0020725825,0.0009929124,0.0018695163,0.0012687535,0.0008187625,0.009382334],"category_scores_gemma":[0.011674289,0.0004887016,0.0014822771,0.0032415988,0.00090253353,0.0007852853,0.0008592874,0.0022466348,0.0007232205],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091992214,0.00016430185,0.8755341,0.00007639551,0.0008046946,0.00029061205,0.00066094793,0.06423507,0.0006400982,0.015835445,0.017327458,0.023510871],"study_design_scores_gemma":[0.00013997217,0.00011619338,0.66300035,0.000033947035,0.00055859535,0.00012299157,0.0014155434,0.3137875,0.00026899,0.014036851,0.006391819,0.00012732486],"about_ca_topic_score_codex":0.87994415,"about_ca_topic_score_gemma":0.86460763,"teacher_disagreement_score":0.120055854,"about_ca_system_score_codex":0.0057323035,"about_ca_system_score_gemma":0.006271023,"threshold_uncertainty_score":0.24152571},"labels":[],"label_agreement":null},{"id":"W2135643459","doi":"10.22004/ag.econ.273724","title":"Iterated Expectations under Rank-Dependent Expected Utility and Model Consistency","year":2015,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Lottery; Expected utility hypothesis; Mathematical economics; Subjective expected utility; Valuation (finance); Impossibility; Econometrics; Economics; Mathematics; Microeconomics","score_opus":0.25498415820604586,"score_gpt":0.3805275900424586,"score_spread":0.12554343183641276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135643459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04894438,0.00033089097,0.9356457,0.0025725113,0.00003738021,0.000082750325,0.00026932114,0.00019956612,0.011917433],"genre_scores_gemma":[0.8442026,0.0005711906,0.14611515,0.0005292412,0.00017793944,0.00045861016,0.0004483959,0.00014151598,0.0073553096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9869402,0.008022717,0.0007350301,0.0018223366,0.0016963461,0.00078348204],"domain_scores_gemma":[0.93803406,0.048166674,0.00510892,0.0054266304,0.0024473204,0.00081630616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01632287,0.00092308345,0.0022521152,0.0009967145,0.00089403073,0.005023511,0.0032569387,0.0024747704,0.005583644],"category_scores_gemma":[0.06764163,0.0010592308,0.0027493958,0.0011739419,0.0041949633,0.010314261,0.0038276622,0.0043928307,0.0006169898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002699723,0.000029623356,0.00048410596,0.000045033998,0.000050207782,0.00008199983,0.00012760819,0.03428546,0.00013948017,0.9608849,0.00042723195,0.0034172856],"study_design_scores_gemma":[0.000017834349,0.000016632734,0.00011685844,0.000012802831,0.000009063748,0.00003546584,0.00001745794,0.10069766,0.00012182033,0.89859325,0.00034847835,0.000012778923],"about_ca_topic_score_codex":0.001528387,"about_ca_topic_score_gemma":0.0010729971,"teacher_disagreement_score":0.01632287,"about_ca_system_score_codex":0.0027856182,"about_ca_system_score_gemma":0.0020943177,"threshold_uncertainty_score":0.08632457},"labels":[],"label_agreement":null},{"id":"W2136893263","doi":"10.22004/ag.econ.158891","title":"The Accession of Kazakhstan, Russia and Ukraine to the WTO: What will it Mean for the World Trade in Wheat?","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accession; International trade; International economics; World trade; Tariff; Liberalization; Market access; Business; Free trade; Economics; European union; Geography; Agriculture; Market economy","score_opus":0.08539617133615204,"score_gpt":0.2493366593344069,"score_spread":0.16394048799825486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136893263","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7050097,0.04468577,0.007776409,0.14358452,0.007402716,0.00009108192,0.0032519773,0.00030967765,0.08788813],"genre_scores_gemma":[0.97552866,0.01414813,0.0023267113,0.003929826,0.00040317318,0.00004523495,0.0010110484,0.00006129506,0.0025458813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989484,0.0005464277,0.0000520965,0.00012079288,0.00013911465,0.00019330741],"domain_scores_gemma":[0.9989484,0.0003343558,0.00022327917,0.000055500772,0.0002340555,0.00020444862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030930704,0.00038943026,0.0005381785,0.00040529127,0.001080289,0.0066883005,0.00071875413,0.0017422064,0.00395348],"category_scores_gemma":[0.0064653945,0.00018692491,0.0006338699,0.0014299388,0.0014519992,0.0050328127,0.0012369833,0.0022032023,0.00073258847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001632255,0.0005557468,0.2111752,0.0021615413,0.0005714376,0.0029492376,0.0057395897,0.14136593,0.0017019681,0.2858881,0.10621034,0.24004865],"study_design_scores_gemma":[0.00040283275,0.0012491434,0.21111743,0.00431499,0.000634433,0.0013638745,0.03833577,0.13693991,0.0022991954,0.22744414,0.37535167,0.00054659526],"about_ca_topic_score_codex":0.021259366,"about_ca_topic_score_gemma":0.009460817,"teacher_disagreement_score":0.021259366,"about_ca_system_score_codex":0.0021665269,"about_ca_system_score_gemma":0.002558391,"threshold_uncertainty_score":0.042271256},"labels":[],"label_agreement":null},{"id":"W2137762962","doi":"10.22004/ag.econ.169813","title":"The Welfare Impacts of a Conservation Easement","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Easement; Externality; Valuation (finance); Business; Land tenure; Welfare; Natural resource economics; Economics; Public economics; Environmental resource management; Environmental planning; Microeconomics; Finance; Geography; Law; Political science; Agriculture; Market economy","score_opus":0.02678495519099507,"score_gpt":0.2020378044123344,"score_spread":0.17525284922133932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137762962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76047033,0.00075035426,0.062730454,0.007875443,0.0001892461,0.0001792086,0.0010742235,0.00012748846,0.16660318],"genre_scores_gemma":[0.98977965,0.00021349551,0.0018149471,0.00019672855,0.000021610309,0.000035363737,0.00006405341,0.000012553428,0.007861592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984584,0.0006550722,0.000035594872,0.00017552773,0.00022845477,0.000447036],"domain_scores_gemma":[0.9985488,0.00058630784,0.0003240173,0.00016129926,0.00015541466,0.00022410207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001550421,0.0006475649,0.00067981664,0.00072235917,0.0010667823,0.0034253725,0.00084363774,0.0021688794,0.009095599],"category_scores_gemma":[0.004132647,0.00036743312,0.0012626402,0.00071608665,0.0018215204,0.002911954,0.0022905564,0.0017573377,0.0003558497],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005124035,0.0007238877,0.013245667,0.00014308169,0.0002508468,0.00089605676,0.0002955799,0.32853648,0.005002958,0.60988665,0.004330666,0.036175586],"study_design_scores_gemma":[0.00012643114,0.0011410067,0.025274621,0.0002365264,0.00031847472,0.00083809753,0.0016798613,0.4130918,0.002466961,0.53451174,0.020141888,0.00017260305],"about_ca_topic_score_codex":0.0056299847,"about_ca_topic_score_gemma":0.005132343,"teacher_disagreement_score":0.009095599,"about_ca_system_score_codex":0.0029019918,"about_ca_system_score_gemma":0.0016393173,"threshold_uncertainty_score":0.030427873},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.021322880280391504,"score_gpt":0.2688697163935929,"score_spread":0.2475468361132014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138858044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985802,0.000062215884,0.000019130235,0.00019301331,0.0000027539852,0.0000018495555,0.0001758989,7.922081e-7,0.00096424087],"genre_scores_gemma":[0.99846303,0.00011881535,0.000020775617,0.000039971375,0.000004405752,0.0000016110232,0.00026469363,6.817488e-7,0.0010860612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998573,0.000022134016,0.000006654551,0.000018450906,0.00002636694,0.000069049674],"domain_scores_gemma":[0.99888676,0.0001832645,0.0004664647,0.000055285203,0.00013638716,0.00027191732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004548372,0.00012206234,0.00015031407,0.00048036728,0.00077794585,0.0010257566,0.00024214578,0.00034620625,0.0040227817],"category_scores_gemma":[0.0027113548,0.00007765509,0.00016691725,0.00060451747,0.00043328918,0.00031787044,0.00050353643,0.00047462055,0.0004869421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048956037,0.000049288603,0.9927617,0.0000052545233,0.0000139232125,0.000054969572,0.000561774,0.00017307562,0.00007337246,0.00029822424,0.00044907047,0.005510321],"study_design_scores_gemma":[0.0000038817334,0.000030998108,0.99531305,0.000017144888,0.000010504125,0.000035849927,0.0030087007,0.00042732272,0.00006568973,0.00016435025,0.00091739313,0.0000050325234],"about_ca_topic_score_codex":0.2673502,"about_ca_topic_score_gemma":0.44615394,"teacher_disagreement_score":0.2673502,"about_ca_system_score_codex":0.000730847,"about_ca_system_score_gemma":0.0011781675,"threshold_uncertainty_score":0.5315881},"labels":[],"label_agreement":null},{"id":"W2139768353","doi":"10.22004/ag.econ.14572","title":"Facilitating Farm-Level Adjustment to the Reform of Trade and Agricultural Policies","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Agriculture; Imperial College London; Economic Research Service; Pennsylvania State University; Agriculture and Agri-Food Canada; University of Pennsylvania","keywords":"Agriculture; State (computer science); Political science; Publishing; Public administration; Library science; Agricultural policy; Public policy; Agricultural economics; Economics; Geography; Law","score_opus":0.05671051365759618,"score_gpt":0.2221971116845338,"score_spread":0.1654865980269376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139768353","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32949564,0.004209832,0.03814616,0.14762145,0.00043752702,0.0007127721,0.0005902132,0.0006262353,0.47816017],"genre_scores_gemma":[0.9819682,0.00072515727,0.004206963,0.0018523801,0.00009740699,0.00008113008,0.000105371895,0.000032609896,0.010930643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957825,0.0023961193,0.000105329746,0.00032422133,0.0004118945,0.0009800333],"domain_scores_gemma":[0.995415,0.0024979552,0.00084413844,0.00039413673,0.00041859795,0.00043013872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059445426,0.00017869574,0.00033058453,0.00070254353,0.0013699646,0.0042948443,0.00079610344,0.0028404617,0.014543744],"category_scores_gemma":[0.018811276,0.00019904338,0.00022948219,0.0016082956,0.0020422235,0.002754371,0.004480349,0.0017827192,0.001050599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038205777,0.0006978027,0.014349635,0.0006005539,0.000082609164,0.00050315517,0.007407535,0.027771031,0.003631167,0.6849561,0.053489584,0.20612875],"study_design_scores_gemma":[0.00036073715,0.00034928217,0.065703414,0.00047554902,0.00009692807,0.00011829847,0.010911131,0.02148599,0.0048283683,0.39741156,0.49818137,0.00007734666],"about_ca_topic_score_codex":0.012209427,"about_ca_topic_score_gemma":0.014321749,"teacher_disagreement_score":0.014543744,"about_ca_system_score_codex":0.0055590775,"about_ca_system_score_gemma":0.010479291,"threshold_uncertainty_score":0.048653662},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.02146077461059305,"score_gpt":0.24082019037286645,"score_spread":0.2193594157622734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140293362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951383,0.000035435904,0.0002141106,0.000055023924,7.405655e-7,0.000012456778,0.000029105919,0.0000042951956,0.0045104944],"genre_scores_gemma":[0.9989071,0.000042683194,0.00024663648,0.000004506754,4.3611962e-7,0.0000035108612,0.000028505654,0.0000014004451,0.00076504383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933666,0.0002271114,0.000037641206,0.00006699624,0.00011778778,0.00021370065],"domain_scores_gemma":[0.99771947,0.0006197775,0.00052353233,0.0002277903,0.000582148,0.00032720258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056299474,0.000095940064,0.00007486964,0.0016626425,0.0012321819,0.002299527,0.00029980665,0.00021532993,0.0018167485],"category_scores_gemma":[0.0021882108,0.00013515145,0.00012838311,0.0020433385,0.0018889551,0.0009659777,0.0011317375,0.0002529209,0.00029002145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002688659,0.00017910553,0.8933454,0.000076832905,0.00002855864,0.0009645682,0.03473108,0.0030101102,0.006038716,0.014138335,0.0004178885,0.046800602],"study_design_scores_gemma":[0.000007706683,0.0002561762,0.93144554,0.000052744785,0.00002335588,0.00035241936,0.05220043,0.0036045124,0.0021032074,0.0046247165,0.0052916775,0.000037464415],"about_ca_topic_score_codex":0.026285887,"about_ca_topic_score_gemma":0.036817417,"teacher_disagreement_score":0.026285887,"about_ca_system_score_codex":0.0024444875,"about_ca_system_score_gemma":0.0019897192,"threshold_uncertainty_score":0.052265763},"labels":[],"label_agreement":null},{"id":"W2140960214","doi":"10.22004/ag.econ.273729","title":"Accounting for the Racial Property Crime Gap in the US: A Quantitative Equilibrium Analysis","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Property crime; Unemployment; Poverty; Economics; Asset (computer security); General equilibrium theory; Labour economics; Demographic economics; Subsidy; Violent crime; Microeconomics; Macroeconomics; Economic growth; Criminology","score_opus":0.1548771407875185,"score_gpt":0.38882812241880466,"score_spread":0.23395098163128616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140960214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75008124,0.0009371486,0.20677185,0.0038598496,0.00009766122,0.00021387149,0.0016883265,0.00023523801,0.036114868],"genre_scores_gemma":[0.97970253,0.0005962679,0.011710052,0.000241779,0.000053422384,0.00016427076,0.00045734824,0.00004477754,0.007029574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995982,0.00019019467,0.000012324632,0.000056845598,0.00004771706,0.00009483936],"domain_scores_gemma":[0.9989981,0.0006559031,0.00013436013,0.000056392,0.00009243362,0.00006290478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011926804,0.000545748,0.0013228455,0.0010074957,0.0006028509,0.0014038888,0.00093134353,0.0012193914,0.0074839382],"category_scores_gemma":[0.0038588077,0.00038541164,0.0014921942,0.0008816082,0.0007013999,0.0013184124,0.0011682366,0.0007043268,0.00026175022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080608304,0.0002657612,0.007880258,0.00009631694,0.00009829964,0.00023020247,0.00016473523,0.75466204,0.0005989756,0.22406559,0.0027952266,0.00906202],"study_design_scores_gemma":[0.000054264965,0.00008788641,0.0035686055,0.00002052775,0.00004835673,0.000054534168,0.00017776905,0.92612135,0.00016766305,0.06780602,0.0018708698,0.00002222127],"about_ca_topic_score_codex":0.028414082,"about_ca_topic_score_gemma":0.011926586,"teacher_disagreement_score":0.028414082,"about_ca_system_score_codex":0.0017361003,"about_ca_system_score_gemma":0.0017901583,"threshold_uncertainty_score":0.056497335},"labels":[],"label_agreement":null},{"id":"W2142357683","doi":"10.22004/ag.econ.16926","title":"MANITOBA CORN GROWERS ASSOCIATION INC. VS U.S. CORN EXPORTS (AN APPLICATION OF REGIONAL MARKET RULES UNDER CANADIAN TRADE REMEDY LAW)","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commodity; Production (economics); Crop; Agricultural economics; Business; Agricultural science; Economics; International trade; Geography; Environmental science; Forestry; Finance","score_opus":0.05717605820641541,"score_gpt":0.20705299738784533,"score_spread":0.1498769391814299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142357683","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19820563,0.0080927,0.0021896702,0.021792956,0.0017543307,0.00013295264,0.05406874,0.00020906057,0.713554],"genre_scores_gemma":[0.7484771,0.0038064576,0.002207128,0.004131256,0.0002882279,0.000102605416,0.0112861665,0.00019977093,0.2295013],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989079,0.0001551546,0.000045090557,0.00012841834,0.0005016253,0.00026164931],"domain_scores_gemma":[0.99598557,0.001371812,0.0004415852,0.00013757475,0.0018528949,0.00021059488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010490823,0.0002926839,0.00056723214,0.0029776928,0.0022550025,0.003494879,0.0012859403,0.0009968656,0.029068967],"category_scores_gemma":[0.0055345297,0.00019035795,0.00057068956,0.007757978,0.00096387096,0.0009258594,0.0008291162,0.0024136845,0.002099762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097166456,0.000152707,0.10895052,0.00029150187,0.0003262638,0.0005975922,0.0021865363,0.003529848,0.00074807846,0.28500926,0.5520817,0.045154333],"study_design_scores_gemma":[0.00029994204,0.00016684612,0.47214097,0.0004308317,0.0009101643,0.00030488838,0.0117624,0.0069849472,0.002994519,0.03411198,0.46978092,0.0001117038],"about_ca_topic_score_codex":0.9503206,"about_ca_topic_score_gemma":0.9792229,"teacher_disagreement_score":0.0496794,"about_ca_system_score_codex":0.012433307,"about_ca_system_score_gemma":0.011645528,"threshold_uncertainty_score":0.099943876},"labels":[],"label_agreement":null},{"id":"W2142375247","doi":"10.22004/ag.econ.19772","title":"ECONOMIC VIABILITY OF BT-CORN IN THE U.S.","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Iowa State University","keywords":"Genetically modified maize; Yield (engineering); Offset (computer science); Quarter (Canadian coin); Economics; Agricultural science; Agricultural economics; Agronomy; Genetically modified crops; Biology; Geography","score_opus":0.05604882991485235,"score_gpt":0.22627546737974724,"score_spread":0.1702266374648949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142375247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962198,0.00019552188,0.000056897235,0.00020657686,0.0000024264777,0.0000019870547,0.00031837283,0.0000017892833,0.002996666],"genre_scores_gemma":[0.99902534,0.00013564783,0.000032813597,0.00002846871,0.0000021060057,0.0000010146838,0.00042984053,6.50841e-7,0.00034410926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998605,0.000030695956,0.000006516085,0.000017998387,0.00005321483,0.000031054737],"domain_scores_gemma":[0.99918514,0.00016863472,0.00034946747,0.000020039579,0.00015856941,0.00011817349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027612314,0.000105905376,0.00007486443,0.00026244868,0.00025371672,0.00059519964,0.00012273215,0.00013353163,0.00082186307],"category_scores_gemma":[0.0009486714,0.00004706697,0.00007463127,0.00041441526,0.00022959687,0.00029115152,0.00030674392,0.00021845609,0.00012699532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024039869,0.00011770412,0.9685422,0.000019967618,0.000034326218,0.00032848844,0.00020504484,0.0041732984,0.0021515605,0.0023106032,0.0017577556,0.020118624],"study_design_scores_gemma":[0.00000955902,0.00013843535,0.9880123,0.00002192658,0.000016840593,0.00010875371,0.0007931688,0.0056492994,0.001017466,0.0004831887,0.0037407698,0.000008214843],"about_ca_topic_score_codex":0.042736545,"about_ca_topic_score_gemma":0.09696633,"teacher_disagreement_score":0.042736545,"about_ca_system_score_codex":0.0009660145,"about_ca_system_score_gemma":0.00035072252,"threshold_uncertainty_score":0.08497554},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.11397021648771154,"score_gpt":0.23458925551222154,"score_spread":0.12061903902451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142390486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55959475,0.0068715033,0.12655897,0.05083966,0.00038647783,0.00015911779,0.000085231375,0.00019898682,0.2553053],"genre_scores_gemma":[0.99422026,0.00081650337,0.002191133,0.00026836622,0.00008533033,0.000031077823,0.000006929831,0.000012143156,0.0023682355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972939,0.0016355193,0.000059096263,0.00034607854,0.0002931799,0.0003722281],"domain_scores_gemma":[0.9892596,0.0071366373,0.0014051812,0.0007360693,0.00051872205,0.00094379456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049773315,0.00023917916,0.00040357196,0.0012425771,0.001565335,0.00447946,0.00091196044,0.001672552,0.0066641155],"category_scores_gemma":[0.012292244,0.00021330631,0.00035452406,0.0006442364,0.010471121,0.0055928254,0.0026668669,0.0013860025,0.000602103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047222133,0.000052037463,0.0046461127,0.00005752117,0.0000110088895,0.00014137103,0.0014316802,0.006193322,0.00027769344,0.9712724,0.0011855696,0.014684029],"study_design_scores_gemma":[0.000044315264,0.00009866327,0.0050599775,0.00013037198,0.000015001249,0.00010145539,0.0024314974,0.0259575,0.0005163151,0.954245,0.011369945,0.000030011555],"about_ca_topic_score_codex":0.0016799842,"about_ca_topic_score_gemma":0.0014844616,"teacher_disagreement_score":0.0066641155,"about_ca_system_score_codex":0.0023546058,"about_ca_system_score_gemma":0.001611418,"threshold_uncertainty_score":0.02632296},"labels":[],"label_agreement":null},{"id":"W2143088736","doi":"10.22004/ag.econ.169749","title":"Supermarket Promotions and Food Prices","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Discounting; Exaggeration; Economics; Competition (biology); Point (geometry); Quarter (Canadian coin); Sample (material); Monetary economics; Advertising; Business; Microeconomics; Finance","score_opus":0.03495042516658036,"score_gpt":0.19515509923725882,"score_spread":0.16020467407067845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143088736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99469864,0.00023688078,0.00016980607,0.00012054277,0.000007859513,0.00001159897,0.0017885126,0.000006119705,0.0029600614],"genre_scores_gemma":[0.99710566,0.00013662495,0.00009640362,0.000016547761,0.000018087743,0.00000979177,0.0012568303,0.000003924805,0.0013561455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930346,0.0001654005,0.000051544317,0.00015519043,0.0002179879,0.000106302155],"domain_scores_gemma":[0.9898261,0.0031269635,0.005128195,0.0005281554,0.0006719364,0.000718529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060706027,0.00015867117,0.0002565929,0.0011562642,0.00028223582,0.0010620574,0.00021869638,0.00035306378,0.010027808],"category_scores_gemma":[0.009225596,0.00021594284,0.00025789157,0.0025130564,0.00036240832,0.00074866123,0.0006107545,0.0006249275,0.0011895637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018354165,0.000059667258,0.9892384,0.000038187154,0.000057643996,0.00014534841,0.0007950568,0.00023188455,0.00025082502,0.00040417057,0.0011105689,0.0074848006],"study_design_scores_gemma":[0.0000048147485,0.000030872234,0.99805754,0.000006641185,0.000008285141,0.00005865967,0.00037125073,0.00026192918,0.00005323825,0.00014644535,0.0009958189,0.0000044010108],"about_ca_topic_score_codex":0.011623962,"about_ca_topic_score_gemma":0.017079601,"teacher_disagreement_score":0.011623962,"about_ca_system_score_codex":0.00052540505,"about_ca_system_score_gemma":0.00025033805,"threshold_uncertainty_score":0.03354633},"labels":[],"label_agreement":null},{"id":"W2144948222","doi":"10.22004/ag.econ.23572","title":"U.S.-CANADA WHEAT TRADE AND ITS EFFECTS ON U.S. PRICE AND INCOME","year":2002,"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":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Agricultural economics; Exchange rate; Consumption (sociology); Econometric model; International economics; International trade; Monetary economics; Econometrics","score_opus":0.018016409747162176,"score_gpt":0.16390114883375648,"score_spread":0.1458847390865943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144948222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9534635,0.002611101,0.0009013235,0.004436226,0.000052987412,0.000029020393,0.0066143465,0.000089622314,0.03180193],"genre_scores_gemma":[0.98993593,0.00185813,0.00039876037,0.00017644382,0.000015278934,0.000007428059,0.0020697098,0.0000177612,0.00552061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995739,0.00005137475,0.000013788598,0.000046421006,0.00017954735,0.0001348612],"domain_scores_gemma":[0.99873406,0.00027781713,0.0002898212,0.000029236031,0.0004894436,0.00017968741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033521047,0.0002567554,0.00023281244,0.0009056618,0.00084721006,0.0013616509,0.0002502729,0.00023295412,0.0049554454],"category_scores_gemma":[0.0022366364,0.00012630658,0.0005733283,0.0019931695,0.0005487012,0.0003323732,0.0005923694,0.00074561103,0.000321668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032994393,0.00010705124,0.9292308,0.00009060557,0.00024365923,0.000685935,0.0004603955,0.016568549,0.0006213529,0.011711029,0.011409433,0.028541297],"study_design_scores_gemma":[0.000026783573,0.000044562235,0.97751594,0.00004904357,0.00015478386,0.00012119361,0.0008769258,0.009572524,0.0006253878,0.0013227257,0.009664471,0.000025663969],"about_ca_topic_score_codex":0.9602935,"about_ca_topic_score_gemma":0.96880394,"teacher_disagreement_score":0.03970653,"about_ca_system_score_codex":0.01360085,"about_ca_system_score_gemma":0.01056817,"threshold_uncertainty_score":0.09868151},"labels":[],"label_agreement":null},{"id":"W2145771436","doi":"10.22004/ag.econ.19025","title":"RE-CONSIDERING THE NECESSARY CONDITION FOR FUTURES MARKET EFFICIENCY: AN APPLICATION TO DAIRY FUTURES","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Inefficiency; Futures market; Economics; Econometrics; Forward market; Market efficiency; Quarter (Canadian coin); Financial economics; Microeconomics","score_opus":0.06453733220792672,"score_gpt":0.25863426721088245,"score_spread":0.19409693500295572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145771436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14462733,0.0015859985,0.83915013,0.0032603585,0.00015155143,0.00012069662,0.00014512436,0.00013405934,0.010824665],"genre_scores_gemma":[0.86936,0.0010192618,0.1252691,0.0002997127,0.00039767384,0.00010417564,0.00013930182,0.0001416155,0.0032691206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995531,0.0023176738,0.00030945503,0.0005515918,0.0010153842,0.0002748114],"domain_scores_gemma":[0.92141485,0.067442395,0.0027651088,0.0038480675,0.004054822,0.0004747043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015106921,0.00087318174,0.001735342,0.0014469767,0.001131281,0.0017760948,0.0011548718,0.0016843035,0.00408364],"category_scores_gemma":[0.0843406,0.0004620342,0.0015405297,0.0014307785,0.003021159,0.005154894,0.0024854594,0.0036250374,0.0002663882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000620881,0.00027039752,0.013874388,0.00038036235,0.0002230989,0.0030101168,0.0010185527,0.2450409,0.007922192,0.6025749,0.0046002944,0.12046392],"study_design_scores_gemma":[0.000066974986,0.000105271225,0.00347762,0.00006360493,0.000052414976,0.00036772326,0.00022985454,0.5455518,0.0038606795,0.44291097,0.0032467453,0.00006628624],"about_ca_topic_score_codex":0.0031218852,"about_ca_topic_score_gemma":0.001729202,"teacher_disagreement_score":0.015106921,"about_ca_system_score_codex":0.0013130696,"about_ca_system_score_gemma":0.0017984196,"threshold_uncertainty_score":0.07989395},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bovine spongiform encephalopathy; Purchasing; Business; Agricultural science; Agricultural economics; Economics; Marketing; Biology; Disease; Medicine; Prion protein","score_opus":0.046901787407254696,"score_gpt":0.23315355221389186,"score_spread":0.18625176480663716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146014358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99680066,0.000040650375,0.000041241925,0.00026581725,0.0000054179363,0.000007412259,0.00048539677,0.0000055474184,0.002347849],"genre_scores_gemma":[0.99852943,0.00006995411,0.00003638362,0.00007928594,0.000010876732,0.000005259258,0.0004826215,0.0000016574054,0.0007845659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996804,0.000100140154,0.000024204008,0.000047919184,0.0001001499,0.00004730241],"domain_scores_gemma":[0.9955564,0.0015506105,0.0017231494,0.00023176776,0.00059396797,0.00034410198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070389325,0.000121106656,0.00013784088,0.0004895607,0.00023706749,0.00087410276,0.00014232745,0.0005487608,0.0055794967],"category_scores_gemma":[0.0042627095,0.00011255982,0.000299215,0.0005242512,0.0002590881,0.00038946516,0.00034124707,0.0004673737,0.00043447784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000433378,0.00016893074,0.98598206,0.00003756156,0.00008953398,0.00012748556,0.00085136766,0.0004818908,0.0008549452,0.00027624553,0.0012605098,0.009436089],"study_design_scores_gemma":[0.000005111726,0.00009940893,0.99747974,0.0000042531874,0.000016838054,0.0000370365,0.0010563105,0.00046872644,0.00015044007,0.00007166175,0.0006039853,0.0000065935124],"about_ca_topic_score_codex":0.011918829,"about_ca_topic_score_gemma":0.014573756,"teacher_disagreement_score":0.011918829,"about_ca_system_score_codex":0.0006055318,"about_ca_system_score_gemma":0.00013587326,"threshold_uncertainty_score":0.023698926},"labels":[],"label_agreement":null},{"id":"W2147362498","doi":"10.22004/ag.econ.273429","title":"Financial Markets and Twentieth Century Industrialization: Evidence From U.S. and Canadian Steel Producers","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Queen's University; McGill University","keywords":"Financial intermediary; Inefficiency; Capital market; Capital (architecture); Industrialisation; Financial market; Business; Production (economics); Oligopoly; Intermediary; Finance; Financial system; Market economy; Economics","score_opus":0.05359539302176457,"score_gpt":0.22015071717381973,"score_spread":0.16655532415205515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147362498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942788,0.0006351321,0.000013299938,0.0003756169,0.0000020540604,0.000008561426,0.0003938573,8.256178e-7,0.0042918297],"genre_scores_gemma":[0.9966698,0.0013678271,0.000023935085,0.0000953831,0.0000046803198,0.0000051728707,0.000529587,0.0000013021516,0.0013022462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994942,0.000033696542,0.000015414298,0.0000455193,0.00017761986,0.00023352502],"domain_scores_gemma":[0.9965856,0.00053772185,0.0010472067,0.000068822614,0.0012257422,0.00053493324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006378778,0.00017664794,0.00019143878,0.0019220335,0.0032776587,0.0020650122,0.0004931521,0.00047579128,0.0029253145],"category_scores_gemma":[0.0037784332,0.00018420914,0.00016475254,0.0047040926,0.0017920645,0.0006423931,0.0011562146,0.00064789795,0.00018880483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001164589,0.000079497484,0.92861897,0.00005471833,0.000028495231,0.0002902893,0.0493295,0.0001196505,0.00030548757,0.00093211775,0.0024796182,0.017645322],"study_design_scores_gemma":[0.0000037222803,0.000012335642,0.976482,0.000029645224,0.000008760913,0.0000283774,0.020442137,0.000047293302,0.000050793886,0.000044300807,0.0028437113,0.000006985428],"about_ca_topic_score_codex":0.97444224,"about_ca_topic_score_gemma":0.98920983,"teacher_disagreement_score":0.025557756,"about_ca_system_score_codex":0.00965623,"about_ca_system_score_gemma":0.00882133,"threshold_uncertainty_score":0.07006121},"labels":[],"label_agreement":null},{"id":"W2148099194","doi":"10.22004/ag.econ.45732","title":"The Building Block Simulation Approach to Program Assessment: The Case of Agriculture Canada's Meat Hygiene Program, 1970-1984","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality assurance; Agriculture; Grading (engineering); Food security; Food safety; Business; Block (permutation group theory); Quality (philosophy); Computer science; Risk analysis (engineering); Environmental economics; Marketing; Engineering; Economics; Mathematics; Geography","score_opus":0.05918715500798528,"score_gpt":0.24174751135842895,"score_spread":0.18256035635044368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148099194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5991185,0.003325136,0.14978598,0.010359278,0.00010635493,0.0010075674,0.0035605726,0.0004604196,0.23227611],"genre_scores_gemma":[0.9440405,0.0013505205,0.02814673,0.00016529016,0.000018669827,0.00022059325,0.00053377764,0.000047816906,0.025476106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986731,0.0007011497,0.000026187845,0.00007963208,0.00021023,0.00030975012],"domain_scores_gemma":[0.9972742,0.0016852337,0.00011053217,0.00008571546,0.0006143749,0.00022989653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028592423,0.00055433804,0.0005265069,0.0017723469,0.0020121406,0.002300318,0.0016772122,0.0013394329,0.0065837284],"category_scores_gemma":[0.006838539,0.00040583638,0.00056441454,0.0027137606,0.0013414882,0.0012652809,0.0010220367,0.0013667737,0.0003390612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021332043,0.00017762418,0.015537785,0.00008866057,0.00007230718,0.00039597967,0.00074939633,0.6990271,0.00018270274,0.23853421,0.0061693415,0.03885154],"study_design_scores_gemma":[0.00009191361,0.00006365194,0.006578829,0.00004252071,0.000049366867,0.000051170657,0.00083198573,0.94546735,0.0001594193,0.033533685,0.013098389,0.000031618994],"about_ca_topic_score_codex":0.9239363,"about_ca_topic_score_gemma":0.92121744,"teacher_disagreement_score":0.9731081,"about_ca_system_score_codex":0.026891876,"about_ca_system_score_gemma":0.024025455,"threshold_uncertainty_score":0.19511509},"labels":[],"label_agreement":null},{"id":"W2148549798","doi":"10.22004/ag.econ.36403","title":"JAPANESE MILLERS' PREFERENCES FOR WHEAT AND FLOUR: A STATED PREFERENCE ANALYSIS","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Manitoba","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Wheat flour; Multinomial logistic regression; Falling Number; Preference; Agricultural science; Mathematics; Food science; Business; Statistics; Biology","score_opus":0.11976129546966229,"score_gpt":0.21633502902998852,"score_spread":0.09657373356032624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148549798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995839,0.000011656859,0.00007630627,0.000017199847,4.209867e-7,0.0000048781253,0.000023973153,3.9935387e-7,0.000281182],"genre_scores_gemma":[0.99950206,0.000026579859,0.0001652705,0.0000220172,0.0000012285608,0.000008767815,0.000051933002,5.2768735e-7,0.0002216331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944395,0.000279025,0.000047683043,0.000043997774,0.00011140597,0.00007396868],"domain_scores_gemma":[0.99840975,0.0007561109,0.00040044883,0.00009080069,0.00019728676,0.0001454704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017215416,0.00020155612,0.00018891072,0.00037657126,0.00039392806,0.00068879215,0.00018033416,0.0002940732,0.0028090843],"category_scores_gemma":[0.0033843203,0.00014160175,0.00050483615,0.00052238686,0.00029182766,0.0005350197,0.00042210933,0.00031845522,0.00023572709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009582007,0.00039601905,0.9551773,0.00012491217,0.00015081889,0.00049766316,0.020742338,0.0008552551,0.004664552,0.00061366643,0.0005098237,0.015309559],"study_design_scores_gemma":[0.0000643238,0.0014822691,0.9233524,0.000045881497,0.000120908866,0.0004203194,0.06400689,0.007014556,0.00078602764,0.0005511583,0.002079516,0.00007578791],"about_ca_topic_score_codex":0.0075163487,"about_ca_topic_score_gemma":0.019698525,"teacher_disagreement_score":0.0075163487,"about_ca_system_score_codex":0.00040854598,"about_ca_system_score_gemma":0.00028563256,"threshold_uncertainty_score":0.014945209},"labels":[],"label_agreement":null},{"id":"W2148744540","doi":"10.22004/ag.econ.28048","title":"Mapping the Socio-economic Diversity of Rural Canada: A Multivariate Analysis","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":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Multivariate statistics; Geography; Multivariate analysis; Economic geography; Sociology; Statistics; Mathematics; Anthropology","score_opus":0.031634152531854025,"score_gpt":0.20870615725759878,"score_spread":0.17707200472574475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148744540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957769,0.00022799968,0.0009789045,0.00017134739,0.0000040834548,0.000021072803,0.0018361665,0.000013209288,0.0009703386],"genre_scores_gemma":[0.99601775,0.00018431159,0.0012663534,0.000022683656,0.0000035350838,0.000013108714,0.0010890284,0.00001105996,0.0013921215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938095,0.00010094316,0.000021786856,0.00012726031,0.00015848485,0.00021058857],"domain_scores_gemma":[0.9983864,0.0003371122,0.00018055935,0.00010077243,0.0006605695,0.00033459885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089388713,0.00041266732,0.00048722996,0.0030364809,0.0030218542,0.0017300089,0.0010106026,0.00031984574,0.002651151],"category_scores_gemma":[0.0038287463,0.00022742643,0.0005955609,0.008810738,0.0008541014,0.00045728672,0.0012610957,0.00058861636,0.00014874371],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008576405,0.00004129408,0.9663666,0.000031308733,0.00021842172,0.00009448326,0.0020671776,0.0030042958,0.0009513289,0.0011970869,0.0019146735,0.024027616],"study_design_scores_gemma":[0.000005128654,0.000016825592,0.98462373,0.00001917468,0.00006602844,0.000030385323,0.0042040823,0.008039564,0.00021697972,0.00044979915,0.0023052348,0.000023107868],"about_ca_topic_score_codex":0.9934202,"about_ca_topic_score_gemma":0.99552625,"teacher_disagreement_score":0.012116288,"about_ca_system_score_codex":0.012116288,"about_ca_system_score_gemma":0.023536641,"threshold_uncertainty_score":0.087910175},"labels":[],"label_agreement":null},{"id":"W2148893899","doi":"10.22004/ag.econ.94031","title":"PRIORITIZATION OF SANITARY RESTRICATIONS FACING U.S. EXPORTS OF BOVINE, PORCINE, AND OVINE FOR DETERMINATION OF SURVEILLANCE NEEDS","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Business; Unit (ring theory); Prioritization; Animal health; Value (mathematics); Agricultural science; International trade; Agricultural economics; Veterinary medicine; Geography; Economics; Biology; Medicine","score_opus":0.036031102970772076,"score_gpt":0.2451314771462031,"score_spread":0.209100374175431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148893899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843395,0.00052025804,0.0017801411,0.00047261894,0.000007626122,0.000049726903,0.0074513434,0.000031099462,0.005347814],"genre_scores_gemma":[0.97587216,0.0005693701,0.0072822887,0.00015879139,0.000014534065,0.000057873996,0.014979176,0.000014756665,0.0010509277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883825,0.00045342252,0.0001689847,0.00017060855,0.0002532439,0.00011553313],"domain_scores_gemma":[0.98763716,0.005467342,0.004046281,0.00046088506,0.001966354,0.0004220145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023846896,0.00020814093,0.00033092822,0.0038559933,0.00046087845,0.0009897707,0.00034883912,0.00029052043,0.0025106526],"category_scores_gemma":[0.007987651,0.00012797659,0.00016795627,0.0034408497,0.00013289422,0.00066194625,0.0005331226,0.00024596349,0.00025754288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016587718,0.000053936983,0.96574724,0.00017044197,0.00003112148,0.00008931478,0.0005495484,0.00094688585,0.0014255656,0.00044638145,0.0021273461,0.028246364],"study_design_scores_gemma":[0.000015335567,0.00010271262,0.98373634,0.00012594182,0.000037569513,0.0002061851,0.0031984726,0.0033412788,0.001197321,0.00026288736,0.0077646985,0.00001132113],"about_ca_topic_score_codex":0.022076966,"about_ca_topic_score_gemma":0.04583604,"teacher_disagreement_score":0.022076966,"about_ca_system_score_codex":0.00056951965,"about_ca_system_score_gemma":0.0011156423,"threshold_uncertainty_score":0.043896914},"labels":[],"label_agreement":null},{"id":"W2149963859","doi":"10.22004/ag.econ.273623","title":"Coordination Failure in Technological Progress, Economic Growth and Volatility","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Coordination failure; Volatility (finance); Economics; Capital good; Externality; Returns to scale; Investment (military); Capital (architecture); Technological change; Economic system; Monetary economics; Industrial organization; Market economy; Macroeconomics; Goods and services; Microeconomics; Production (economics); Finance","score_opus":0.032619620416737424,"score_gpt":0.22299431365646366,"score_spread":0.19037469323972622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149963859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8670431,0.0016851859,0.08465321,0.0058535053,0.00009548548,0.000064674234,0.00032611043,0.00013357814,0.040145043],"genre_scores_gemma":[0.9961056,0.0005072648,0.0012304385,0.000044620574,0.00002407616,0.000018671251,0.000031555956,0.0000062585073,0.00203134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915767,0.00027428282,0.00004708657,0.00019132656,0.000105472296,0.00022419084],"domain_scores_gemma":[0.9948304,0.0021889587,0.0021299822,0.00030471373,0.00017742685,0.00036856232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016951964,0.0005174823,0.0007300802,0.0008500192,0.00069825567,0.0032231323,0.00052887725,0.0015637283,0.00373012],"category_scores_gemma":[0.009450015,0.0003373559,0.0007465635,0.0010534228,0.0023963123,0.003190661,0.0018189072,0.0013444423,0.00022363206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021452503,0.00009955972,0.030243276,0.000117292126,0.00012854175,0.0007585008,0.0006437457,0.20610884,0.0016943169,0.7405231,0.00261005,0.016858269],"study_design_scores_gemma":[0.00008397922,0.00009808188,0.019584164,0.000044772172,0.00006770119,0.00024168224,0.00041310425,0.23806444,0.00088702404,0.7370388,0.0034112432,0.000065013046],"about_ca_topic_score_codex":0.005192318,"about_ca_topic_score_gemma":0.0023819313,"teacher_disagreement_score":0.005192318,"about_ca_system_score_codex":0.002080609,"about_ca_system_score_gemma":0.0008658576,"threshold_uncertainty_score":0.01509589},"labels":[],"label_agreement":null},{"id":"W2149982143","doi":"10.22004/ag.econ.95806","title":"Challenging US Country of Origin Labelling at the World Trade Organization: The Law, The Issues and The Evidence","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"World trade; Bolster; International trade; Legislation; Business; International trade law; Political science; Law; International economics; Economics; Geography","score_opus":0.06058115227292107,"score_gpt":0.22445720608444328,"score_spread":0.1638760538115222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149982143","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04551805,0.031692255,0.002490212,0.703377,0.0044968254,0.00007669434,0.0015856451,0.00006404277,0.21069929],"genre_scores_gemma":[0.51401365,0.042087726,0.0058896807,0.37873846,0.0037654394,0.00016094258,0.0022921462,0.00009905754,0.052952845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9849284,0.0040828655,0.0008955998,0.0010245037,0.006772406,0.0022962543],"domain_scores_gemma":[0.90816385,0.04926093,0.008694168,0.0035232275,0.027067548,0.0032902507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016341822,0.00031196378,0.0006083559,0.0040751314,0.00759149,0.013863589,0.0025889273,0.012287313,0.00728551],"category_scores_gemma":[0.05285575,0.0003964858,0.00074163737,0.0076535116,0.006060816,0.0073173214,0.002586558,0.009582659,0.0013416109],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121170415,0.00014395505,0.027955223,0.0006276519,0.00006707735,0.00077282725,0.00388129,0.00043184398,0.0003999137,0.5643387,0.35139874,0.04986159],"study_design_scores_gemma":[0.000043908727,0.00005575508,0.05259612,0.0059977095,0.00013880013,0.00031599877,0.017218195,0.0009905422,0.0015603969,0.08288959,0.83801574,0.0001770766],"about_ca_topic_score_codex":0.3358838,"about_ca_topic_score_gemma":0.43495995,"teacher_disagreement_score":0.3358838,"about_ca_system_score_codex":0.013048352,"about_ca_system_score_gemma":0.024150979,"threshold_uncertainty_score":0.66785747},"labels":[],"label_agreement":null},{"id":"W2151449734","doi":"10.22004/ag.econ.273628","title":"Elastic Money, Inflation, and Interest Rate Policy","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Monetary policy; Economics; Monetary economics; Interest rate; Inflation targeting; Credit channel; Real interest rate; Inflation (cosmology); Fisher hypothesis; Forward guidance; Market liquidity","score_opus":0.07710052566140817,"score_gpt":0.2287421927322467,"score_spread":0.15164166707083854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151449734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65175563,0.023563378,0.1066115,0.0333879,0.0008585035,0.000048948023,0.00050080026,0.00015331125,0.18311998],"genre_scores_gemma":[0.9796101,0.0055733565,0.0027095287,0.0003733514,0.00040944683,0.00002366942,0.00006187751,0.000028458564,0.01121031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996432,0.00016529951,0.000014844289,0.000059023387,0.000045542543,0.00007207688],"domain_scores_gemma":[0.99809355,0.0010680713,0.00056290586,0.00006232199,0.000098115386,0.00011501445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010587763,0.00056692434,0.0005829314,0.0006320953,0.0005848199,0.0024991992,0.00045434362,0.0018490569,0.003995165],"category_scores_gemma":[0.0061596814,0.00035571182,0.0003303347,0.00088145287,0.0015252429,0.0027669722,0.00088396645,0.0015936156,0.0004974986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012357873,0.00012558996,0.0039935634,0.00008667793,0.000056704164,0.00028235756,0.00015813106,0.1149878,0.0005528762,0.8638681,0.003734594,0.012030002],"study_design_scores_gemma":[0.00005262126,0.000051915787,0.0029563168,0.00006332173,0.000037199618,0.000090304035,0.00021079801,0.14968283,0.00024349746,0.8409056,0.005674093,0.00003143259],"about_ca_topic_score_codex":0.0042905053,"about_ca_topic_score_gemma":0.0023788682,"teacher_disagreement_score":0.0042905053,"about_ca_system_score_codex":0.0016074973,"about_ca_system_score_gemma":0.00091874273,"threshold_uncertainty_score":0.01336509},"labels":[],"label_agreement":null},{"id":"W2151825750","doi":"10.22004/ag.econ.19333","title":"Induced Technological Change in Canadian Agriculture Field Crops - Canola and Wheat: 1926-2003","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Canola; Cointegration; Production (economics); Agriculture; Economics; Constant elasticity of substitution; Substitution (logic); Granger causality; Econometrics; Agricultural economics; Agronomy; Elasticity of substitution; Geography; Microeconomics; Biology","score_opus":0.053187147806216264,"score_gpt":0.21791883369459428,"score_spread":0.164731685888378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151825750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92857784,0.001404362,0.0005426135,0.0005881667,0.000026826436,0.000043548956,0.058156885,0.000082245846,0.0105775],"genre_scores_gemma":[0.9640127,0.0012014465,0.00059011317,0.00005034307,0.000013408728,0.000018305705,0.028039012,0.00001332945,0.006061358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960333,0.000013675044,0.000014726721,0.000064258806,0.00020117652,0.00010280531],"domain_scores_gemma":[0.99825114,0.00013388172,0.0002490757,0.00010763671,0.0011393803,0.00011882809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006177005,0.0003657997,0.00031353542,0.0025054011,0.0010590764,0.0010364155,0.00053137797,0.00027083914,0.0021509132],"category_scores_gemma":[0.0028796936,0.00013860362,0.00043041346,0.006756164,0.00042106866,0.00030000994,0.00044815688,0.00041044966,0.00026791313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000552842,0.00012230137,0.8466603,0.0003452392,0.00035001172,0.0005930688,0.0022896787,0.018208409,0.002401024,0.0055751954,0.026020074,0.096881814],"study_design_scores_gemma":[0.000006208123,0.0000073662004,0.9842531,0.000014051166,0.000023095736,0.000042317093,0.00024521182,0.00151321,0.00046414512,0.00011834893,0.013296098,0.000016837987],"about_ca_topic_score_codex":0.9939074,"about_ca_topic_score_gemma":0.9967801,"teacher_disagreement_score":0.033708103,"about_ca_system_score_codex":0.033708103,"about_ca_system_score_gemma":0.018187558,"threshold_uncertainty_score":0.24457055},"labels":[],"label_agreement":null},{"id":"W2153359400","doi":"10.22004/ag.econ.273598","title":"Covariance-based orthogonality tests for regressors with unknown persistence","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Mathematics; Econometrics; Statistics; Predictability; Test statistic; Unit root test; Covariance; Statistical hypothesis testing; Cointegration","score_opus":0.12152040862373983,"score_gpt":0.2549306028861444,"score_spread":0.13341019426240455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153359400","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15250738,0.00029365142,0.84275746,0.0003822774,0.00009766315,0.00011874553,0.00034562126,0.00041111564,0.0030861332],"genre_scores_gemma":[0.9053677,0.00030070177,0.09101106,0.00017257544,0.00029505335,0.00031588197,0.0010334018,0.00016491087,0.0013386941],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9824405,0.008799566,0.001466974,0.0023543355,0.0042291842,0.0007094561],"domain_scores_gemma":[0.75673187,0.213075,0.012922022,0.010079721,0.0059978752,0.0011935813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017958833,0.0009024045,0.0014964802,0.003290434,0.000676751,0.002033427,0.0016252417,0.0011335873,0.0033476176],"category_scores_gemma":[0.17251383,0.0005110199,0.0015679387,0.002488773,0.0025811153,0.004272535,0.0028443418,0.002922024,0.00071264186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008787796,0.00066889584,0.22606453,0.00038983396,0.0020342122,0.0009923262,0.00072232867,0.06896669,0.00798342,0.2888365,0.0028294865,0.39963302],"study_design_scores_gemma":[0.00029965115,0.00085669156,0.05975511,0.00014637338,0.00033076364,0.0007153627,0.00040980006,0.6079894,0.007960127,0.31680375,0.004514738,0.00021824364],"about_ca_topic_score_codex":0.0010164992,"about_ca_topic_score_gemma":0.00066721754,"teacher_disagreement_score":0.017958833,"about_ca_system_score_codex":0.00060271565,"about_ca_system_score_gemma":0.0019862442,"threshold_uncertainty_score":0.094976544},"labels":[],"label_agreement":null},{"id":"W2153872706","doi":"10.22004/ag.econ.273696","title":"Why the Legal System is Not Necessarily Less Efficient than the Income Tax In Redistributing Income","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Redistribution (election); Doctrine; Economics; Tax law; Distortion (music); Redistribution of income and wealth; Law and economics; Income tax; Law; Balance (ability); Public economics; Microeconomics; Double taxation; Political science; Public good","score_opus":0.05550922084875671,"score_gpt":0.2079475841620454,"score_spread":0.1524383633132887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153872706","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1130767,0.005937095,0.059305392,0.480221,0.0017548371,0.000074859265,0.000539897,0.00023476705,0.33885553],"genre_scores_gemma":[0.94767535,0.002718236,0.0135584865,0.01861896,0.00092561735,0.000097965414,0.00017054135,0.00021980378,0.016015042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99218893,0.0029624675,0.0003318249,0.0014197892,0.0017813835,0.0013156481],"domain_scores_gemma":[0.9874351,0.005062175,0.0017421932,0.0022577469,0.0027648,0.00073792186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010146936,0.0002697254,0.0005806714,0.0014376191,0.0027695445,0.0073495274,0.0010486536,0.003708773,0.0077337557],"category_scores_gemma":[0.030372815,0.00033393968,0.00044046913,0.0014758875,0.01868608,0.013012832,0.0020860247,0.0041837734,0.0020951969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011009555,0.000010644917,0.0005697855,0.000027759463,0.0000089376545,0.000016369104,0.00025842717,0.00032196796,0.00009464379,0.9891928,0.0046357885,0.004851926],"study_design_scores_gemma":[0.000026392781,0.00000832638,0.001250686,0.000069019196,0.000007511505,0.000048225273,0.00034041973,0.00046442126,0.00026539768,0.9675648,0.029940551,0.000014238],"about_ca_topic_score_codex":0.008298384,"about_ca_topic_score_gemma":0.005728609,"teacher_disagreement_score":0.010146936,"about_ca_system_score_codex":0.0039981925,"about_ca_system_score_gemma":0.005087514,"threshold_uncertainty_score":0.053662717},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.02536139241214426,"score_gpt":0.2150485988961195,"score_spread":0.18968720648397525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156998560","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15800768,0.0470859,0.0019966601,0.4075503,0.00064011477,0.0002623962,0.0021679217,0.00010150809,0.38218763],"genre_scores_gemma":[0.8967743,0.044911556,0.0051887548,0.022430941,0.000093227514,0.000083830666,0.0006044368,0.000048536764,0.02986442],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951056,0.00065547746,0.00012301866,0.00024067926,0.0016919737,0.0021833004],"domain_scores_gemma":[0.993109,0.0009262244,0.00020828814,0.000118621756,0.0038560976,0.0017817614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003735156,0.00039791974,0.0005934239,0.0019916184,0.011564601,0.007176376,0.0017670636,0.0020154612,0.0035460333],"category_scores_gemma":[0.008804166,0.00026504425,0.00046409492,0.0059958547,0.004837601,0.002222566,0.0026191866,0.0032448682,0.00016551052],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023705524,0.00022402775,0.04456533,0.0011063336,0.00014975252,0.0012906207,0.015082971,0.010139723,0.0005778209,0.6193604,0.14137888,0.1658871],"study_design_scores_gemma":[0.00016216602,0.00012899197,0.11806311,0.0029780015,0.00027303252,0.0002969833,0.069496885,0.0062303105,0.0008261614,0.08073036,0.7205208,0.0002931928],"about_ca_topic_score_codex":0.99857223,"about_ca_topic_score_gemma":0.99924004,"teacher_disagreement_score":0.1797208,"about_ca_system_score_codex":0.1797208,"about_ca_system_score_gemma":0.35714793,"threshold_uncertainty_score":0.9514076},"labels":[],"label_agreement":null},{"id":"W2158829459","doi":"10.22004/ag.econ.19927","title":"THE LOCATIONAL DETERMINANTS OF LARGE LIVESTOCK OPERATIONS: EVIDENCE FROM THE U.S. HOG, DAIRY, AND FED-CATTLE SECTORS","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Livestock; Panel data; Production (economics); Business; Agricultural science; Natural resource economics; Agricultural economics; Economics; Geography; Econometrics; Microeconomics; Environmental science; Forestry","score_opus":0.1171841263867465,"score_gpt":0.25118128288070446,"score_spread":0.13399715649395796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158829459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976851,0.00037758818,0.0001353384,0.0003267697,0.000003282724,0.0000034029292,0.00047978494,0.000002297952,0.0009863832],"genre_scores_gemma":[0.99836236,0.00043297614,0.00005997338,0.00005118331,0.000006932313,0.0000030747874,0.0007720397,0.0000012777942,0.00031016266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969816,0.00010864769,0.000024082612,0.00005729105,0.000058918486,0.000052959145],"domain_scores_gemma":[0.9935302,0.0019889295,0.0033018156,0.00021834357,0.000448356,0.0005123029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005806034,0.00013731954,0.0001607143,0.0007601033,0.00030927427,0.00065295777,0.00026532944,0.00030184464,0.0021276504],"category_scores_gemma":[0.00272466,0.00015367914,0.00021663327,0.0022169687,0.0005769713,0.00057388976,0.0007082951,0.00046781407,0.00024048485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006144928,0.00006690937,0.99395365,0.0000128438905,0.000042626947,0.00005058239,0.00018784015,0.00033005286,0.00010898063,0.00026870985,0.00053803733,0.0043782983],"study_design_scores_gemma":[0.0000049036057,0.00002488246,0.9980769,0.000011676586,0.000019654608,0.000020266622,0.0007256275,0.00033360248,0.00007321429,0.0001340519,0.00057194487,0.0000031386937],"about_ca_topic_score_codex":0.04695173,"about_ca_topic_score_gemma":0.10496378,"teacher_disagreement_score":0.04695173,"about_ca_system_score_codex":0.0003814239,"about_ca_system_score_gemma":0.00030483786,"threshold_uncertainty_score":0.09335691},"labels":[],"label_agreement":null},{"id":"W2159239912","doi":"10.22004/ag.econ.9793","title":"NAFTA Impacts on the U.S. Competitiveness and Trade: Beef, Pork, and Poultry","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":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Almost ideal demand system; Agricultural economics; Business; Economics; International trade; Production (economics); Microeconomics","score_opus":0.02776383275533501,"score_gpt":0.19776440591713812,"score_spread":0.17000057316180311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159239912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8575231,0.005356741,0.0006275653,0.008403821,0.00014312322,0.0000433406,0.0310943,0.000060546277,0.0967475],"genre_scores_gemma":[0.9790566,0.0025451658,0.00053641084,0.000580528,0.00004810367,0.000024666804,0.009825341,0.00001469353,0.007368546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993006,0.0001478849,0.000023987828,0.000066099885,0.00033024544,0.00013119118],"domain_scores_gemma":[0.99852103,0.00037806816,0.0003595165,0.000029361077,0.00062088354,0.00009115684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010975096,0.00032887948,0.00022416786,0.0017396135,0.00070480746,0.0019311962,0.00022288297,0.00052732637,0.004330383],"category_scores_gemma":[0.0023545353,0.00012815463,0.00036622403,0.002478394,0.00039124707,0.00053806946,0.00058903865,0.00042625787,0.00029894267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054680463,0.00017991953,0.81835574,0.00023546051,0.00026464372,0.00074206415,0.00051138445,0.014210816,0.001121274,0.023127452,0.07043929,0.07026528],"study_design_scores_gemma":[0.000054252603,0.00015683367,0.91296834,0.00017729822,0.00021950649,0.00019335868,0.0025249184,0.008907492,0.00080549304,0.0038183786,0.07013114,0.000043053686],"about_ca_topic_score_codex":0.53611386,"about_ca_topic_score_gemma":0.5348688,"teacher_disagreement_score":0.46388614,"about_ca_system_score_codex":0.0038525406,"about_ca_system_score_gemma":0.002881851,"threshold_uncertainty_score":0.9332361},"labels":[],"label_agreement":null},{"id":"W2161539756","doi":"10.22004/ag.econ.36013","title":"THE WELFARE EFFECTS OF STATE TRADING ENTERPRISES: THE CASE OF US-CANADA MALTING BARLEY TRADE","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Welfare; Oligopoly; Business; Desk; Consumption (sociology); International trade; State (computer science); Agribusiness; International economics; Economics; Market economy; Engineering; Agriculture","score_opus":0.02965281389717091,"score_gpt":0.19442589345846784,"score_spread":0.16477307956129691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161539756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685431,0.00046982878,0.001960086,0.0030085607,0.000014015974,0.00006973172,0.0008206942,0.000024550145,0.025089512],"genre_scores_gemma":[0.9958157,0.000325721,0.000431394,0.000099507786,0.00000469616,0.000015660498,0.00011571983,0.0000047234603,0.0031868285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99903154,0.00028820365,0.000018672545,0.00006760326,0.00008721962,0.0005067852],"domain_scores_gemma":[0.99784636,0.0011804594,0.00023309376,0.00008915492,0.00036519507,0.00028573166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013952936,0.00042007436,0.0006091003,0.0010534603,0.002130268,0.0026420334,0.00085783814,0.0014612289,0.0050390917],"category_scores_gemma":[0.0045226854,0.00024237699,0.00089582003,0.0018673838,0.0022437293,0.0016017815,0.0016121124,0.0014924315,0.0001250138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008587613,0.00047440684,0.062056568,0.000116693496,0.00019242405,0.0014090918,0.0011461487,0.58235997,0.0011673346,0.32810754,0.0064909346,0.015620198],"study_design_scores_gemma":[0.00063439435,0.00029048653,0.06489427,0.00011543389,0.00042075114,0.0002061835,0.007886579,0.7899448,0.0012180017,0.12221468,0.012043352,0.00013095912],"about_ca_topic_score_codex":0.7895871,"about_ca_topic_score_gemma":0.78802097,"teacher_disagreement_score":0.21041292,"about_ca_system_score_codex":0.019531593,"about_ca_system_score_gemma":0.008393378,"threshold_uncertainty_score":0.42330414},"labels":[],"label_agreement":null},{"id":"W2162084795","doi":"10.22004/ag.econ.127967","title":"Estimation of Forest Fire-fighting Budgets Using Climate Indexes","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Victoria","keywords":"Firefighting; Environmental science; Meteorology; Government (linguistics); Wildfire suppression; Index (typography); Fire protection; Geography; Climatology; Environmental resource management; Computer science; Engineering; Cartography; Civil engineering","score_opus":0.025337079530684523,"score_gpt":0.2434644909983731,"score_spread":0.2181274114676886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162084795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803823,0.00005413864,0.015557486,0.000030642317,0.0000020270445,0.000027171835,0.0010654896,0.00011800599,0.0027626771],"genre_scores_gemma":[0.9898337,0.000042587555,0.008633252,0.0000045316388,0.0000021738065,0.000016240932,0.00088191056,0.000015882362,0.0005697446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999806,0.00006196023,0.000009551824,0.00004266741,0.000039431936,0.00004046667],"domain_scores_gemma":[0.99932516,0.00023697248,0.00013992435,0.00006288206,0.0001538842,0.00008112639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051509234,0.00034479238,0.00028749448,0.00096158293,0.00023841846,0.0005512833,0.00038739396,0.0001990768,0.001255448],"category_scores_gemma":[0.0023764644,0.00026283532,0.0002897089,0.0008270434,0.00014207618,0.00049350876,0.00032390273,0.00023750708,0.00019021243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014100627,0.000059280457,0.37849224,0.000025965746,0.000096494055,0.000046947323,0.000056482146,0.59209394,0.001727786,0.0012130372,0.00046517633,0.025581589],"study_design_scores_gemma":[0.000007943748,0.000019989768,0.17240676,0.000006206062,0.000016391701,0.000016092727,0.00006087039,0.8249144,0.0013752702,0.00061468536,0.00054998137,0.000011438091],"about_ca_topic_score_codex":0.18049224,"about_ca_topic_score_gemma":0.2320798,"teacher_disagreement_score":0.18049224,"about_ca_system_score_codex":0.0021221603,"about_ca_system_score_gemma":0.0012963068,"threshold_uncertainty_score":0.35888326},"labels":[],"label_agreement":null},{"id":"W2164493467","doi":"10.22004/ag.econ.18164","title":"ARE LOG MARKETS COMPETITIVE? EMPIRICAL EVIDENCE AND IMPLICATIONS FOR CANADA-U.S. TRADE IN SOFTWOOD LUMBER","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Stumpage; Economics; Ordinary least squares; Softwood; Database transaction; Regression discontinuity design; Agricultural economics; Econometrics; Engineering; Database; Mathematics; Statistics; Computer science","score_opus":0.21141555371756293,"score_gpt":0.3819526305597482,"score_spread":0.17053707684218528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164493467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.825298,0.021999583,0.0017080626,0.032617096,0.00009183169,0.00016413383,0.002293499,0.000092387905,0.115735404],"genre_scores_gemma":[0.99141157,0.00396254,0.000404836,0.0011714095,0.00006674919,0.0000122344,0.00042384228,0.000016932589,0.0025297233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718213,0.00041065225,0.00012463906,0.00028094757,0.0013567929,0.0006447633],"domain_scores_gemma":[0.94503754,0.029609255,0.014513102,0.0011957807,0.0070143007,0.0026300065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050654844,0.00035776224,0.0008234505,0.0027755282,0.003182249,0.009054468,0.0016013318,0.0012437322,0.016328475],"category_scores_gemma":[0.037465975,0.00034153703,0.0005512754,0.005417555,0.0063994233,0.004804319,0.0010917817,0.0016281566,0.00074153696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015735264,0.00072030065,0.70183605,0.0011495561,0.00040525256,0.0015608928,0.004589732,0.0033524593,0.0006981566,0.13338287,0.030982768,0.11974839],"study_design_scores_gemma":[0.0005188177,0.00024699187,0.864458,0.0007910836,0.0005213472,0.0004636779,0.025674816,0.013675734,0.0010255623,0.05439748,0.03804892,0.000177493],"about_ca_topic_score_codex":0.85596025,"about_ca_topic_score_gemma":0.90674096,"teacher_disagreement_score":0.14403975,"about_ca_system_score_codex":0.02073242,"about_ca_system_score_gemma":0.018750163,"threshold_uncertainty_score":0.28977603},"labels":[],"label_agreement":null},{"id":"W2164565386","doi":"10.22004/ag.econ.125232","title":"Spatial Efficiency of Genetically Modified and Organic Crops","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Organic farming; Externality; Spatial distribution; Distribution (mathematics); Genetically modified organism; Agricultural engineering; Crop; Agricultural science; Business; Environmental science; Economics; Agronomy; Agriculture; Microeconomics; Mathematics; Ecology; Engineering; Biology; Statistics","score_opus":0.039255859304094594,"score_gpt":0.22771059158551002,"score_spread":0.18845473228141543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164565386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809337,0.00019458748,0.010312543,0.00013149658,0.000003220473,0.000009527743,0.00024949646,0.000028403896,0.008136918],"genre_scores_gemma":[0.9971903,0.00006405186,0.0015438406,0.000007804022,0.0000016590022,0.0000063138227,0.00011523762,0.0000117956615,0.0010589897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99962723,0.00009325879,0.000015803851,0.00011243204,0.000059339975,0.00009186654],"domain_scores_gemma":[0.997366,0.0013282747,0.00061793637,0.00026740984,0.000264947,0.00015553374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006775977,0.0002163317,0.00031745795,0.0010556636,0.00034174926,0.0010906496,0.00059942243,0.0004101811,0.0036786047],"category_scores_gemma":[0.004791164,0.00014574676,0.00028766776,0.0011762953,0.0007229235,0.00090187887,0.00084596296,0.00017549306,0.0003263614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041844777,0.00011726165,0.11925988,0.00012403053,0.0001570835,0.0004933609,0.000597684,0.6861503,0.028740074,0.13707161,0.001960439,0.024909813],"study_design_scores_gemma":[0.000075258315,0.00021334672,0.10875638,0.00004139577,0.00011468249,0.0005829781,0.0015338509,0.78028846,0.015930418,0.085923865,0.0064583938,0.000081011196],"about_ca_topic_score_codex":0.0050436193,"about_ca_topic_score_gemma":0.0037923744,"teacher_disagreement_score":0.0050436193,"about_ca_system_score_codex":0.0011888563,"about_ca_system_score_gemma":0.00033707396,"threshold_uncertainty_score":0.012306094},"labels":[],"label_agreement":null},{"id":"W2165058009","doi":"10.22004/ag.econ.19866","title":"THE MEASUREMENT OF INEQUALITY IN CANADIAN AND U.S. AGRICULTURAL INCOME BY COMPONENTS OF NET VALUE ADDED","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Net income; Value (mathematics); Inequality; Distribution (mathematics); Capital (architecture); Income distribution; Agriculture; Agricultural economics; Mathematics; Geography; Statistics","score_opus":0.05093504727868491,"score_gpt":0.21404898231578676,"score_spread":0.16311393503710184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165058009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93971336,0.0010467479,0.0010740529,0.00063302164,0.000027309941,0.000034601155,0.015068951,0.000037571375,0.042364363],"genre_scores_gemma":[0.99222356,0.00043018212,0.0005222393,0.00004662812,0.000010010506,0.000011062988,0.0052108765,0.000008352518,0.0015370745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988355,0.00005452597,0.000037144568,0.00012260237,0.00068467285,0.00026556218],"domain_scores_gemma":[0.99742633,0.00016434868,0.00053978537,0.00007909622,0.0014505927,0.00033977246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006338061,0.0003074639,0.00028232436,0.0048520686,0.0018448522,0.0015843735,0.0007089255,0.00014571828,0.0019424481],"category_scores_gemma":[0.0044205077,0.00012062962,0.00031231137,0.010315055,0.0009978395,0.0007005886,0.0011826375,0.00060424587,0.0001955309],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005869657,0.000019628515,0.9723575,0.00004194615,0.00010666126,0.000049587285,0.0013759366,0.0014714012,0.00028479454,0.0038083184,0.0030272277,0.017398337],"study_design_scores_gemma":[0.0000011308304,0.000003867283,0.9968436,0.000015665171,0.000009231105,0.000011429307,0.00043867464,0.00049678306,0.00008465395,0.00013542027,0.0019525541,0.000006963579],"about_ca_topic_score_codex":0.98436755,"about_ca_topic_score_gemma":0.9879943,"teacher_disagreement_score":0.018860608,"about_ca_system_score_codex":0.018860608,"about_ca_system_score_gemma":0.012418187,"threshold_uncertainty_score":0.13684392},"labels":[],"label_agreement":null},{"id":"W2166484257","doi":"10.22004/ag.econ.273539","title":"Nested Pseudo-likelihood Estimation and Bootstrap-based Inference for Structural Discrete Markov Decision Models","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":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Estimator; Mathematics; Inference; Point estimation; Parametric statistics; Markov chain; Mathematical optimization; Markov chain Monte Carlo; Computer science; Applied mathematics; Econometrics; Monte Carlo method; Statistics","score_opus":0.0400148362788875,"score_gpt":0.27505061968437444,"score_spread":0.23503578340548695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166484257","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041271583,0.00010669871,0.9951573,0.000101489895,0.0000105216395,0.000020396712,0.000022100045,0.00007435562,0.00037999402],"genre_scores_gemma":[0.37196833,0.0004894671,0.6249551,0.00020642889,0.00012066167,0.00038093483,0.00030633737,0.00014447041,0.0014282787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9880288,0.009256213,0.00027854028,0.00064697984,0.0015780743,0.000211339],"domain_scores_gemma":[0.8974202,0.091483675,0.0031726812,0.00445319,0.0028989748,0.0005712218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017000547,0.00071369024,0.0013710937,0.0014189442,0.0006282868,0.0016288923,0.0025510457,0.0014019215,0.0032150075],"category_scores_gemma":[0.14855665,0.0010002238,0.0010279694,0.0012416241,0.0031823097,0.004007137,0.0025734517,0.0027144032,0.00057792256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010987473,0.00013310993,0.004244472,0.0002257241,0.00013193647,0.00023397965,0.0003392423,0.36168078,0.0012177757,0.55300367,0.0014447224,0.07723478],"study_design_scores_gemma":[0.0000137858615,0.000018023655,0.00029585586,0.00001429849,0.0000061385304,0.00003150302,0.000010233708,0.8913943,0.00032075608,0.107337125,0.00054586417,0.000012153386],"about_ca_topic_score_codex":0.002732749,"about_ca_topic_score_gemma":0.0028414084,"teacher_disagreement_score":0.017000547,"about_ca_system_score_codex":0.0013784309,"about_ca_system_score_gemma":0.0018486908,"threshold_uncertainty_score":0.08990854},"labels":[],"label_agreement":null},{"id":"W2167930656","doi":"10.22004/ag.econ.24808","title":"THE FAST DECAY PROCESS IN RECREATIONAL DEMAND ACTIVITIES AND THE USE OF ALTERNATIVE COUNT DATA MODELS","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Count data; Recreation; Process (computing); Environmental science; Computer science; Statistics; Mathematics; Operating system; Ecology; Biology","score_opus":0.30042387178585866,"score_gpt":0.2539665007439418,"score_spread":0.046457371041916884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167930656","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051617682,0.0020262566,0.93561155,0.0021155647,0.0001703801,0.00017610147,0.0007856878,0.0002350382,0.0072617936],"genre_scores_gemma":[0.7653779,0.0054651424,0.20913133,0.00077150355,0.00047998884,0.001151832,0.0017444437,0.0002345339,0.015643341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99091715,0.005440455,0.00050645776,0.0011217402,0.0014841099,0.000530079],"domain_scores_gemma":[0.9339978,0.054658156,0.004286344,0.0031872743,0.003305614,0.0005648283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017221088,0.0013827599,0.001571707,0.003170952,0.00084406557,0.0048753135,0.0056874766,0.0039916583,0.005549396],"category_scores_gemma":[0.056643836,0.0011409286,0.0034547613,0.004465591,0.0030421328,0.007191126,0.0037919166,0.005745091,0.0010194354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018306788,0.00020094552,0.02029316,0.00050629064,0.00021786193,0.0005941788,0.0013766437,0.2653699,0.00049806735,0.655992,0.0032971129,0.051470812],"study_design_scores_gemma":[0.000030204994,0.00009025185,0.0026712387,0.00014770399,0.00006525467,0.0002195356,0.00031029744,0.8009183,0.00017144573,0.19014451,0.0051574027,0.00007385225],"about_ca_topic_score_codex":0.009920459,"about_ca_topic_score_gemma":0.006575936,"teacher_disagreement_score":0.017221088,"about_ca_system_score_codex":0.0023395,"about_ca_system_score_gemma":0.0013421151,"threshold_uncertainty_score":0.09107494},"labels":[],"label_agreement":null},{"id":"W2168057108","doi":"10.22004/ag.econ.273572","title":"The Control of Land Rent in the Fortified Farming Town","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Landlord; Administration (probate law); Agriculture; Control (management); Business; Economics; Agricultural economics; Natural resource economics; Geography","score_opus":0.037427667288459435,"score_gpt":0.2727580173698468,"score_spread":0.23533035008138736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168057108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677104,0.00012964543,0.0015806943,0.00078654214,0.000008757775,0.00000937146,0.000024497243,0.0000054511797,0.029744716],"genre_scores_gemma":[0.99785185,0.00002258036,0.00010638763,0.000009467361,0.0000021701605,0.0000016324976,0.0000018168371,0.0000011475577,0.0020028867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998299,0.000058800782,0.0000028092172,0.000029218887,0.000016455402,0.00006273097],"domain_scores_gemma":[0.99970716,0.00008630293,0.000060766117,0.000025198447,0.000022445267,0.000098179764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025195457,0.00011632217,0.00021922644,0.00025631246,0.0013383719,0.00201662,0.00037931403,0.00040180434,0.007899776],"category_scores_gemma":[0.00072193664,0.0001352146,0.00014796229,0.00022549072,0.0022056303,0.0006357251,0.00094037695,0.0003302557,0.00018738548],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006080182,0.00039770178,0.06930651,0.00011981647,0.00013434033,0.0051637725,0.017055966,0.031209068,0.02139893,0.8163944,0.0051609958,0.03305055],"study_design_scores_gemma":[0.00034063208,0.0005925644,0.2592516,0.00011827745,0.0001390285,0.0013300645,0.06207964,0.12859292,0.004871065,0.4881478,0.05439679,0.00013960726],"about_ca_topic_score_codex":0.014781962,"about_ca_topic_score_gemma":0.02302019,"teacher_disagreement_score":0.014781962,"about_ca_system_score_codex":0.0017228869,"about_ca_system_score_gemma":0.0006946695,"threshold_uncertainty_score":0.029391825},"labels":[],"label_agreement":null},{"id":"W2170373145","doi":"10.22004/ag.econ.37016","title":"Canada-US Softwood Lumber Trade Revisited: Examining the Role of Substitution Bias in the Context of a Spatial Price Equilibrium Framework","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Softwood; Context (archaeology); Economic rent; Commercial policy; Tariff; International economics; Econometrics; Microeconomics","score_opus":0.024229754968862594,"score_gpt":0.22277095842489375,"score_spread":0.19854120345603116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170373145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9092198,0.0066562383,0.024704196,0.010455607,0.00012810831,0.00014366099,0.0015279877,0.00010702778,0.047057394],"genre_scores_gemma":[0.99342453,0.0013674841,0.0019661447,0.00050019805,0.000024010578,0.000011064385,0.00022492967,0.00001242276,0.002469121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99697757,0.00084425375,0.00010152487,0.00041684066,0.0009604938,0.00069932145],"domain_scores_gemma":[0.994001,0.0035499784,0.00079795474,0.00028672835,0.0011989538,0.0001653944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058012423,0.00051261275,0.0011226127,0.0016883767,0.0018034609,0.0028491698,0.001315223,0.0009919287,0.0044769514],"category_scores_gemma":[0.012994896,0.00024190742,0.0012124198,0.0038598015,0.0023866256,0.0018342022,0.0013822964,0.001379138,0.00016832213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008207065,0.0001915091,0.27847624,0.0005921071,0.00091435405,0.0017313397,0.002388063,0.172494,0.0013527601,0.44569054,0.0054144063,0.08993401],"study_design_scores_gemma":[0.00024519075,0.00039065853,0.4028106,0.00039795763,0.0013167473,0.0005674342,0.009240624,0.33958894,0.0029057325,0.20876701,0.033554513,0.000214654],"about_ca_topic_score_codex":0.9178208,"about_ca_topic_score_gemma":0.91278636,"teacher_disagreement_score":0.08217919,"about_ca_system_score_codex":0.018950554,"about_ca_system_score_gemma":0.02042289,"threshold_uncertainty_score":0.1653263},"labels":[],"label_agreement":null},{"id":"W2176299329","doi":"10.22004/ag.econ.207822","title":"Strategic Management as a Key to Educating the New Aviation Professional","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Aviation; Strategic management; Capstone; Strategic planning; Competitive advantage; Business; Engineering; Process management; Knowledge management; Engineering management; Marketing; Computer science","score_opus":0.034153082460560945,"score_gpt":0.265642016162237,"score_spread":0.23148893370167603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176299329","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04334574,0.013340096,0.07795438,0.5070762,0.0040946803,0.00015472657,0.00004384078,0.00034140566,0.35364905],"genre_scores_gemma":[0.7264042,0.021249637,0.077208415,0.04733559,0.002197276,0.00018922085,0.000093635936,0.00012462337,0.12519747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974758,0.0013017806,0.00007871276,0.00013480998,0.00070206716,0.000306857],"domain_scores_gemma":[0.99525565,0.0013771767,0.00045247923,0.00021949528,0.0007559012,0.0019392618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042096335,0.00025922916,0.00024392283,0.0008877715,0.0031498203,0.006527056,0.0004940277,0.002356941,0.0045611076],"category_scores_gemma":[0.005015174,0.00016558944,0.00017397724,0.00045764106,0.0048938766,0.004535645,0.0033525787,0.0046584387,0.0016376318],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013290777,0.00023423678,0.0036848409,0.00028830155,0.000010557244,0.00034024825,0.025608094,0.000713292,0.0024904124,0.6530718,0.08511673,0.22842824],"study_design_scores_gemma":[0.0000058671126,0.00009680611,0.002274512,0.0006934628,0.000006039291,0.00047755995,0.013427188,0.0007192867,0.0007874407,0.22630821,0.7551761,0.00002749696],"about_ca_topic_score_codex":0.0021322719,"about_ca_topic_score_gemma":0.0046640756,"teacher_disagreement_score":0.006527056,"about_ca_system_score_codex":0.0027396881,"about_ca_system_score_gemma":0.009533938,"threshold_uncertainty_score":0.02226293},"labels":[],"label_agreement":null},{"id":"W2178270459","doi":"10.22004/ag.econ.23615","title":"SUBSTITUTION BETWEEN U.S. AND CANADIAN WHEAT BY CLASS","year":2006,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Winter wheat; Substitution (logic); Spring (device); Production (economics); Agricultural economics; Agronomy; Economics; Agricultural science; Environmental science; Biology; Engineering","score_opus":0.017370076239504574,"score_gpt":0.1701391945312593,"score_spread":0.15276911829175474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178270459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95459306,0.0015924159,0.00037165114,0.0015960259,0.000022311448,0.000015856167,0.008178598,0.000024285318,0.033605818],"genre_scores_gemma":[0.9910444,0.00075730804,0.00020894884,0.00013989232,0.0000044886433,0.0000034925597,0.0024028278,0.0000081622475,0.005430464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993667,0.000042781994,0.000016617205,0.000101362806,0.000249625,0.00022302741],"domain_scores_gemma":[0.999084,0.00010412414,0.00023350689,0.00004253012,0.0003680031,0.0001677509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003570222,0.00021617315,0.00032177658,0.0011285094,0.0012829382,0.0013937,0.00044869483,0.00021153028,0.008184271],"category_scores_gemma":[0.0017784364,0.00011465621,0.0004030602,0.0041532805,0.000444441,0.0003308235,0.00040191892,0.00041042067,0.0004517182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005057219,0.00006353026,0.8685364,0.00013336372,0.0002312197,0.00041774628,0.0026638897,0.0033071327,0.0018936206,0.027930347,0.02136213,0.07295486],"study_design_scores_gemma":[0.000021826987,0.00003087259,0.96946377,0.000059404712,0.00008807541,0.00011208381,0.002579738,0.0023710104,0.0004419,0.0011269557,0.023673728,0.000030536958],"about_ca_topic_score_codex":0.9798377,"about_ca_topic_score_gemma":0.9899595,"teacher_disagreement_score":0.020162284,"about_ca_system_score_codex":0.013214711,"about_ca_system_score_gemma":0.008667619,"threshold_uncertainty_score":0.09587985},"labels":[],"label_agreement":null},{"id":"W2182536077","doi":"10.22004/ag.econ.272865","title":"Canada’s shrinking Bioproduct Industry","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Workforce; Product (mathematics); Agriculture; Business; Agricultural science; Agricultural economics; Geography; Economics; Mathematics; Economic growth; Environmental science; Archaeology","score_opus":0.02433790043084543,"score_gpt":0.19396784055604144,"score_spread":0.169629940125196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182536077","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23882125,0.015313585,0.0020129834,0.3850755,0.002430449,0.000155593,0.005398847,0.00036256327,0.35042918],"genre_scores_gemma":[0.6913805,0.010887319,0.0038571297,0.05721457,0.00044924667,0.000051143194,0.002186012,0.00009811664,0.23387596],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99804795,0.00008421743,0.000035918547,0.00017619287,0.0010281067,0.0006276221],"domain_scores_gemma":[0.99597484,0.000292884,0.00014027435,0.0000845263,0.0020868564,0.0014206404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014604721,0.00046152092,0.00033531274,0.0018991494,0.005127566,0.0050527323,0.0010662809,0.00293924,0.012214654],"category_scores_gemma":[0.0027807876,0.0002802505,0.00066653045,0.0019175684,0.0022068522,0.0015356153,0.0010598752,0.0027358166,0.00073511596],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041350917,0.00018718156,0.023301583,0.0006003363,0.0000683417,0.0014816031,0.0018072055,0.0041544028,0.008228158,0.28391817,0.52731377,0.14852583],"study_design_scores_gemma":[0.000033336935,0.00004809023,0.030553047,0.00019195427,0.000027089842,0.000118430704,0.001482009,0.0013937078,0.0010525883,0.0060487185,0.95901173,0.00003923154],"about_ca_topic_score_codex":0.9858316,"about_ca_topic_score_gemma":0.99515367,"teacher_disagreement_score":0.085541695,"about_ca_system_score_codex":0.085541695,"about_ca_system_score_gemma":0.18952173,"threshold_uncertainty_score":0.62065136},"labels":[],"label_agreement":null},{"id":"W2184844416","doi":"10.22004/ag.econ.260208","title":"The Role of Long Memory in Hedging Strategies for Canadian Commodity Futures","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Hedge; Price risk; Volatility (finance); Commodity; Financial economics; Economics; Canola; Cash; Business; Monetary economics; Finance","score_opus":0.027768342072642938,"score_gpt":0.21678913931790694,"score_spread":0.189020797245264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184844416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729968,0.0014431663,0.013524259,0.00067373854,0.000016045115,0.000024281873,0.00013551714,0.000034984478,0.0111512225],"genre_scores_gemma":[0.99770314,0.00021248714,0.0012335399,0.000017818056,0.0000032006242,0.0000017308195,0.000038481314,0.0000037689592,0.00078574865],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965405,0.00004999335,0.000018404666,0.000045663506,0.00015452421,0.0000773788],"domain_scores_gemma":[0.9982021,0.00073848496,0.00043358814,0.000120419674,0.00036770312,0.00013771967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016401386,0.000316949,0.0002736481,0.00082370004,0.0009437482,0.002630141,0.0007025527,0.0005653678,0.0018140145],"category_scores_gemma":[0.009713814,0.00018874383,0.0003126635,0.0007933544,0.0006586805,0.002169445,0.00060245435,0.00061452115,0.00008863522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011508566,0.00025458963,0.3323504,0.00019632434,0.0003129407,0.0010369475,0.0035544885,0.197724,0.010006906,0.10534734,0.0023406025,0.34572473],"study_design_scores_gemma":[0.000047492533,0.00021002145,0.4133719,0.000108516135,0.00017098642,0.00045813769,0.0032207863,0.5017284,0.0046550077,0.06766584,0.008136115,0.00022680857],"about_ca_topic_score_codex":0.37890548,"about_ca_topic_score_gemma":0.4007525,"teacher_disagreement_score":0.6210945,"about_ca_system_score_codex":0.005457473,"about_ca_system_score_gemma":0.003431324,"threshold_uncertainty_score":0.75339997},"labels":[],"label_agreement":null},{"id":"W2184883209","doi":"","title":"Textile and Apparel Barriers and Rules of Origin in a Post-ATC World","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clothing; Textile; Welfare; Tariff; Quarter (Canadian coin); Rules of origin; Economics; Liberalization; Business; International economics; International trade; Commerce; Market economy","score_opus":0.0437882274732396,"score_gpt":0.2131999976017221,"score_spread":0.1694117701284825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184883209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834485,0.00007898914,0.0012481912,0.0003151882,0.000010853412,0.000015614536,0.0003721694,0.000016027918,0.014494491],"genre_scores_gemma":[0.9968389,0.00010797007,0.00058428495,0.0000704245,0.000002919766,0.000008713321,0.00037240778,0.000008562589,0.0020057082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975795,0.000093497096,0.000007906838,0.000034116598,0.000032526044,0.00007403145],"domain_scores_gemma":[0.9992524,0.00022743514,0.00023008403,0.00008975931,0.000121521734,0.000078743986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046043072,0.00027144043,0.00020615438,0.0005005997,0.00055677304,0.0022094639,0.00040531272,0.00060446793,0.0036568465],"category_scores_gemma":[0.001448825,0.0002316555,0.00061631657,0.0012426043,0.0008511036,0.0015973214,0.00078069547,0.000896448,0.00035422656],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089844957,0.0014879502,0.34208512,0.0001340971,0.00026198124,0.0025668684,0.0013231655,0.48495814,0.0029955318,0.109132186,0.009304156,0.0448524],"study_design_scores_gemma":[0.0001979874,0.00076084316,0.25340733,0.00011187569,0.00017294002,0.00053568976,0.0061604236,0.6674838,0.0026720946,0.03622591,0.032158937,0.000112094735],"about_ca_topic_score_codex":0.06009099,"about_ca_topic_score_gemma":0.059232593,"teacher_disagreement_score":0.06009099,"about_ca_system_score_codex":0.0017880439,"about_ca_system_score_gemma":0.00071804656,"threshold_uncertainty_score":0.11948246},"labels":[],"label_agreement":null},{"id":"W2188821747","doi":"10.22004/ag.econ.229513","title":"Weekly Outlook: How Long Will Low Corn Prices Persist?","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bushel; Agricultural economics; Year-ending; Quarter (Canadian coin); Business; Geography; Agricultural science; Economics; Finance; Annual report; Environmental science; Acre","score_opus":0.04089446059575539,"score_gpt":0.2102453390619816,"score_spread":0.1693508784662262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188821747","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30067208,0.017089445,0.0020558818,0.3275602,0.007335725,0.000054518317,0.0059938715,0.00036510342,0.33887315],"genre_scores_gemma":[0.92527753,0.0053066756,0.0006533862,0.01196616,0.002474314,0.000037776594,0.0021350677,0.000077896104,0.052071195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996871,0.000054427503,0.000012522026,0.000038436054,0.00012865377,0.00007880822],"domain_scores_gemma":[0.99824274,0.0002871282,0.00035102517,0.000043577227,0.0005995553,0.00047601876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013745165,0.00021440965,0.00015863334,0.00041682852,0.0008813899,0.003971885,0.00024319482,0.0017039549,0.02257559],"category_scores_gemma":[0.005543189,0.00008537238,0.00017075453,0.0003969294,0.0004597194,0.0021588686,0.0003934801,0.0015778835,0.0048224735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009600261,0.00037149477,0.11791276,0.00013411214,0.00007397489,0.00038629913,0.0006252579,0.0005203004,0.0018870119,0.016423622,0.5419428,0.3187623],"study_design_scores_gemma":[0.00007460449,0.00053688657,0.3331137,0.00029983948,0.00014031137,0.00033388767,0.00762875,0.0026146367,0.001931045,0.020691693,0.6325012,0.00013349195],"about_ca_topic_score_codex":0.009119413,"about_ca_topic_score_gemma":0.016427876,"teacher_disagreement_score":0.02257559,"about_ca_system_score_codex":0.0016211477,"about_ca_system_score_gemma":0.0009883742,"threshold_uncertainty_score":0.07552284},"labels":[],"label_agreement":null},{"id":"W2204618830","doi":"10.22004/ag.econ.182897","title":"TECHNOLOGY AND POLICY IMPACTS ON ECONOMIC PERFORMANCE, NUTRIENT FLOWS AND SOIL EROSION AT WATERSHED LEVEL:THE CASE OF GINCHI IN ETHIOPIA","year":2000,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Livestock Research Institute; International Development Research Centre","keywords":"Manure; Environmental science; Nutrient; Subsistence agriculture; Nutrient management; Watershed; Leaching (pedology); Erosion; Agricultural economics; Natural resource economics; Business; Agriculture; Economics; Geography; Agronomy; Soil water; Ecology; Biology","score_opus":0.024388832200392126,"score_gpt":0.22156243134435097,"score_spread":0.19717359914395885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204618830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937423,0.00019289489,0.0010769828,0.00032387907,0.00001042752,0.00004782618,0.00045604585,0.000015021157,0.004134577],"genre_scores_gemma":[0.99729794,0.00027825253,0.0005760053,0.000033864686,0.0000023240223,0.000028437407,0.000122004705,0.0000048395136,0.0016563706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99967754,0.00013251191,0.0000076112638,0.000022674461,0.000014263038,0.00014539491],"domain_scores_gemma":[0.9995295,0.00021873135,0.00005312674,0.000016946318,0.00005375723,0.00012800448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073522417,0.0005221698,0.00054798124,0.0008427058,0.0009622959,0.0023173664,0.00087834493,0.0014105627,0.0033164206],"category_scores_gemma":[0.0009209052,0.00041406185,0.0009656211,0.0010710591,0.0009757241,0.0010342766,0.0012950641,0.0009314442,0.00020337055],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092158036,0.0005437858,0.05643352,0.00015728046,0.00019371952,0.0078078425,0.0003225846,0.90792453,0.0024857481,0.015495612,0.0009904138,0.0067234356],"study_design_scores_gemma":[0.0004355016,0.001167969,0.03794115,0.00015648399,0.0002722168,0.0010129757,0.007343786,0.9345665,0.0030991058,0.0080441125,0.0057691396,0.00019115928],"about_ca_topic_score_codex":0.07122353,"about_ca_topic_score_gemma":0.047547225,"teacher_disagreement_score":0.07122353,"about_ca_system_score_codex":0.0051014856,"about_ca_system_score_gemma":0.0023963102,"threshold_uncertainty_score":0.1416179},"labels":[],"label_agreement":null},{"id":"W2208505569","doi":"10.22004/ag.econ.207993","title":"Short-Haul Intermodal Service: Can Rail Compete with Truck?","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Service (business); Transport engineering; Business; Automotive engineering; Engineering; Marketing","score_opus":0.01575340097727872,"score_gpt":0.19350798006897138,"score_spread":0.17775457909169265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208505569","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11470369,0.010454691,0.038698323,0.1990451,0.0018599156,0.00011100763,0.0010928323,0.0002614262,0.63377297],"genre_scores_gemma":[0.91356194,0.004823889,0.0034618527,0.008493183,0.0008597925,0.00005830168,0.00023079444,0.00021713163,0.06829308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988098,0.00024007383,0.000025676834,0.00030418267,0.00014515696,0.00047512434],"domain_scores_gemma":[0.9973341,0.0011274711,0.00036989636,0.00017621905,0.00048656377,0.0005057485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989099,0.00077185134,0.0020195327,0.0007597741,0.0033687202,0.007597531,0.0030551709,0.0076546636,0.1079578],"category_scores_gemma":[0.009873845,0.00037211727,0.00094544835,0.0015727683,0.0035789264,0.017589437,0.0026678627,0.0046978593,0.0076111583],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038861425,0.00016395502,0.0052356543,0.000337158,0.00010662276,0.00042101525,0.00044523238,0.0071134064,0.00060333114,0.8128075,0.083826646,0.08855093],"study_design_scores_gemma":[0.00008404937,0.0001052644,0.003392425,0.00028704872,0.00006618498,0.0002489662,0.0035102577,0.011485575,0.00035736704,0.9119525,0.06843478,0.00007554195],"about_ca_topic_score_codex":0.03512127,"about_ca_topic_score_gemma":0.044645093,"teacher_disagreement_score":0.1079578,"about_ca_system_score_codex":0.004174724,"about_ca_system_score_gemma":0.0029251182,"threshold_uncertainty_score":0.36115485},"labels":[],"label_agreement":null},{"id":"W2208631231","doi":"10.22004/ag.econ.158368","title":"Does Transparency Reduce Corruption?","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Transparency (behavior); Language change; Margin (machine learning); Agency (philosophy); Imperfect; Economics; Monetary economics; Business; Computer security; Computer science","score_opus":0.0643358693406405,"score_gpt":0.29718603877766736,"score_spread":0.23285016943702685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208631231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60955083,0.004688015,0.04485412,0.13789113,0.0006865409,0.00013386432,0.00044145793,0.0002848003,0.20146927],"genre_scores_gemma":[0.9933832,0.0005637686,0.0012922895,0.0015588528,0.00015114555,0.000019451896,0.000020877877,0.000017992501,0.0029924267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9957462,0.001971922,0.00015850848,0.00041111518,0.00068216474,0.0010301137],"domain_scores_gemma":[0.9737438,0.009936358,0.011029106,0.002035962,0.0018963165,0.0013585024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038675186,0.00031931623,0.0006576835,0.0008687004,0.00094109395,0.0030328352,0.0004795102,0.0019738062,0.007974045],"category_scores_gemma":[0.023557797,0.000288186,0.0006141303,0.00087727845,0.002899155,0.0037676862,0.0020315826,0.0017220597,0.000779966],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047050876,0.0006942278,0.04786559,0.0007639741,0.00037242394,0.0004478384,0.0023695023,0.015050136,0.0067384643,0.81114453,0.016575882,0.09750694],"study_design_scores_gemma":[0.0003605478,0.00057213614,0.08085112,0.0005070627,0.00032288226,0.00049448636,0.0020438232,0.020986605,0.008319936,0.84158593,0.043868247,0.0000872148],"about_ca_topic_score_codex":0.0023419869,"about_ca_topic_score_gemma":0.0020767208,"teacher_disagreement_score":0.007974045,"about_ca_system_score_codex":0.0017023562,"about_ca_system_score_gemma":0.0024696083,"threshold_uncertainty_score":0.02667588},"labels":[],"label_agreement":null},{"id":"W2221656940","doi":"10.22004/ag.econ.153392","title":"Milk Cost of Production Estimates for January, February, and March 2012","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agricultural economics; Agriculture; Environmental science; Geography; Economics","score_opus":0.04186244641391278,"score_gpt":0.2382533344084817,"score_spread":0.19639088799456894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221656940","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36660802,0.009004478,0.014680415,0.0020580918,0.0004028378,0.0005156481,0.4757442,0.0011983154,0.12978792],"genre_scores_gemma":[0.5534369,0.005137546,0.010053878,0.00036952866,0.0002196972,0.0005990639,0.37133366,0.0002832445,0.058566514],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897695,0.00012250812,0.000076804055,0.00010251763,0.0005675425,0.0001536999],"domain_scores_gemma":[0.9982553,0.00029453836,0.0004928567,0.00009108298,0.0008082463,0.00005794071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007914037,0.000488988,0.0002767636,0.0044541187,0.00031871858,0.0011342868,0.00070158346,0.00027272006,0.008510611],"category_scores_gemma":[0.004062203,0.00026115446,0.0006786621,0.00450024,0.00010416068,0.00076425925,0.0005262528,0.0005818642,0.003085654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006350907,0.00024813,0.2388811,0.000878536,0.00034606573,0.0005844189,0.0005596949,0.05540953,0.0017615923,0.01968599,0.39910564,0.28190422],"study_design_scores_gemma":[0.000030805048,0.00018706056,0.55865073,0.00023775155,0.00013010898,0.00059093226,0.0009674528,0.023053572,0.0022181813,0.0017702399,0.41209453,0.00006872018],"about_ca_topic_score_codex":0.07815132,"about_ca_topic_score_gemma":0.074905716,"teacher_disagreement_score":0.07815132,"about_ca_system_score_codex":0.0036522176,"about_ca_system_score_gemma":0.001136078,"threshold_uncertainty_score":0.15539283},"labels":[],"label_agreement":null},{"id":"W2221667569","doi":"10.22004/ag.econ.157407","title":"Cost Structure of the Ontario Dairy Industry Revisited: Distributional Aspects","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profit (economics); Revenue; Sustainability; Agricultural science; Dairy industry; Cost structure; Business; Agricultural economics; Economics; Microeconomics; Finance; Environmental science","score_opus":0.040749529476859524,"score_gpt":0.22171599032643657,"score_spread":0.18096646084957704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221667569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964975,0.0009810075,0.004530901,0.0031019645,0.000010100439,0.00005639652,0.0021483994,0.000020295798,0.024175897],"genre_scores_gemma":[0.99618345,0.0002906573,0.0006164269,0.000035142162,0.000007621445,0.000008945749,0.00040346768,0.000007776153,0.0024465637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915385,0.00008932897,0.000028973891,0.00007882156,0.00046748112,0.00018153622],"domain_scores_gemma":[0.9979966,0.00047572373,0.00038503887,0.00013569993,0.00091913703,0.0000877747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006320956,0.00015330827,0.00042324155,0.0026225233,0.00064214575,0.001567629,0.0011624492,0.00037871697,0.0030540104],"category_scores_gemma":[0.005289908,0.00017059669,0.0003652021,0.0039293333,0.0010681805,0.0009772428,0.00067014963,0.00048765022,0.000100309626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016753272,0.000077546945,0.5168999,0.00022494595,0.00013074702,0.00075144414,0.0018896043,0.10989288,0.0020487395,0.2635356,0.007478164,0.09690289],"study_design_scores_gemma":[0.00001514732,0.000037086334,0.8670966,0.0000587173,0.000034292938,0.00029025497,0.0017940339,0.08130835,0.0004019942,0.037412602,0.01149788,0.000053095308],"about_ca_topic_score_codex":0.70218146,"about_ca_topic_score_gemma":0.7601306,"teacher_disagreement_score":0.29781854,"about_ca_system_score_codex":0.019086363,"about_ca_system_score_gemma":0.003890975,"threshold_uncertainty_score":0.5991449},"labels":[],"label_agreement":null},{"id":"W2224242611","doi":"10.22004/ag.econ.149881","title":"Farm Wealth Implications of Canadian Agricultural Business Risk Management Programs","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Net present value; Incentive; Subsidy; Business; Agriculture; Present value; Cropping; Environmental economics; Agricultural economics; Economics; Natural resource economics; Finance; Production (economics); Microeconomics","score_opus":0.019430435986752752,"score_gpt":0.19534528144956026,"score_spread":0.1759148454628075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224242611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701222,0.00024179876,0.0006965408,0.0013704216,0.000009980893,0.00007477822,0.00041863354,0.00003448823,0.027031062],"genre_scores_gemma":[0.9978846,0.000111946654,0.00030476233,0.00006793982,0.000002704113,0.000011136404,0.000096930824,0.000002130034,0.0015177544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982168,0.00042109896,0.000026615948,0.00010367345,0.0004858352,0.0007459094],"domain_scores_gemma":[0.996416,0.0009020524,0.00060158106,0.00018582522,0.0010743807,0.0008200914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018027794,0.00027199223,0.00025614316,0.0006855704,0.0013372666,0.0011837555,0.00073880935,0.00036015766,0.0025305746],"category_scores_gemma":[0.006674588,0.00010946933,0.0002706742,0.0008940362,0.0007705079,0.0004672541,0.0009199682,0.0004156063,0.0000845736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019973186,0.0019739934,0.45374608,0.00020901179,0.00028135587,0.0010404735,0.0012291394,0.21447502,0.006341508,0.042695045,0.010523398,0.2654876],"study_design_scores_gemma":[0.00021987614,0.001163613,0.86837035,0.000101704936,0.0002361909,0.00012966299,0.0026958948,0.09623691,0.0031090414,0.007290282,0.02036577,0.00008064452],"about_ca_topic_score_codex":0.8271493,"about_ca_topic_score_gemma":0.91950095,"teacher_disagreement_score":0.17285073,"about_ca_system_score_codex":0.025192637,"about_ca_system_score_gemma":0.020470805,"threshold_uncertainty_score":0.3477373},"labels":[],"label_agreement":null},{"id":"W2225153043","doi":"10.22004/ag.econ.150215","title":"The Effect of Land Management Changes and Nutrient Runoff Capture on Water Quality and Farm and Watershed Economics","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Agriculture; Business; Water quality; Willingness to pay; Surface runoff; Watershed; Tillage; Environmental science; Agricultural economics; Agricultural science; Economics; Geography; Ecology","score_opus":0.013582888425058219,"score_gpt":0.20942552849068363,"score_spread":0.1958426400656254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225153043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982704,0.00004407173,0.00018254948,0.000022371045,0.000002929541,0.000032780423,0.00014639559,0.0000035519256,0.0012948314],"genre_scores_gemma":[0.9973961,0.0000938325,0.00040829182,0.000034704623,0.0000023150285,0.000028265586,0.0002998671,0.0000038899316,0.0017327548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999124,0.00031317468,0.000043209468,0.000110231755,0.00028136373,0.0001280832],"domain_scores_gemma":[0.99764234,0.0009930247,0.00061705575,0.00010432411,0.000428353,0.000214847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011459084,0.00022019216,0.00027030052,0.00043829015,0.00028638134,0.0007933495,0.0004392379,0.00032257303,0.0020291372],"category_scores_gemma":[0.001876558,0.00014103389,0.00047816001,0.0008269417,0.0005891504,0.00039390233,0.00039859305,0.00031928884,0.00014932037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028784312,0.0025306642,0.8549151,0.00022455631,0.0007447635,0.0006650973,0.00037499954,0.027348135,0.07049341,0.00058958447,0.0005800122,0.038655207],"study_design_scores_gemma":[0.000021958986,0.0014604464,0.9892847,0.0000051279053,0.000056468452,0.000028351287,0.00027225402,0.002737508,0.0053795446,0.000108327804,0.0006358144,0.000009487974],"about_ca_topic_score_codex":0.06441136,"about_ca_topic_score_gemma":0.14575298,"teacher_disagreement_score":0.06441136,"about_ca_system_score_codex":0.0032512688,"about_ca_system_score_gemma":0.0017434949,"threshold_uncertainty_score":0.12807286},"labels":[],"label_agreement":null},{"id":"W2229486630","doi":"10.22004/ag.econ.151978","title":"Canadian Food Dollar: Breakdown between Farm and Marketing Costs","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Liberian dollar; Business; Marketing; Food marketing; Order (exchange); Food supply; Agricultural economics; Value (mathematics); Economics; Finance; Mathematics","score_opus":0.027544440160625083,"score_gpt":0.18733709500399853,"score_spread":0.15979265484337346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2229486630","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20532165,0.012054891,0.0075841686,0.014059097,0.0006535481,0.0001810016,0.1084166,0.00083059806,0.65089846],"genre_scores_gemma":[0.8363817,0.00898929,0.006768279,0.0008978024,0.00015444547,0.00008613393,0.03696788,0.00040232931,0.10935216],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9959527,0.00010532947,0.000051828345,0.00020477387,0.0032416235,0.00044375146],"domain_scores_gemma":[0.9964443,0.00026336487,0.00019486871,0.000080320286,0.002776253,0.00024081877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082738465,0.0005482838,0.00039760026,0.008484498,0.0021427516,0.0050683087,0.00070440525,0.00046622616,0.018323535],"category_scores_gemma":[0.0062427586,0.00028425767,0.00043463442,0.015197368,0.00077064004,0.0013273534,0.0008196747,0.0010161434,0.0011239129],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045544142,0.00005980567,0.10326817,0.00044036433,0.00018842342,0.0003460095,0.0018407764,0.006780378,0.0017444341,0.29943284,0.30306253,0.28238073],"study_design_scores_gemma":[0.000016663676,0.00003368895,0.46280733,0.00022049308,0.00008161746,0.00027568234,0.0032844287,0.0058023944,0.001647947,0.011216095,0.5144576,0.00015612041],"about_ca_topic_score_codex":0.9705767,"about_ca_topic_score_gemma":0.9789546,"teacher_disagreement_score":0.050524577,"about_ca_system_score_codex":0.050524577,"about_ca_system_score_gemma":0.029741423,"threshold_uncertainty_score":0.36658317},"labels":[],"label_agreement":null},{"id":"W2234371925","doi":"10.22004/ag.econ.163865","title":"Disruption in the NAFTA Supply Chain for Beef and Cattle: An Evaluation of Possible Policy Responses","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bovine spongiform encephalopathy; Market access; Protectionism; Harmonization; Business; Supply chain; International trade; Free trade agreement; Beef cattle; Confusion; Free trade; Agricultural economics; Economics; Agriculture; Geography; Marketing","score_opus":0.07978745781986875,"score_gpt":0.2911341543998721,"score_spread":0.21134669658000338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234371925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80362624,0.007376295,0.0020877868,0.07551648,0.00069347,0.001555823,0.0018915387,0.00013264168,0.107119754],"genre_scores_gemma":[0.97850925,0.005250224,0.0014816847,0.0071834056,0.00019920127,0.0004980444,0.00059830776,0.000013614739,0.006266305],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9838457,0.008479928,0.0006138377,0.00052841235,0.004083729,0.0024483642],"domain_scores_gemma":[0.97791106,0.012614128,0.0022924356,0.00049658434,0.005666816,0.0010190113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023366483,0.00077504787,0.0004674599,0.00218085,0.003462502,0.007990088,0.001790587,0.0058620665,0.004706286],"category_scores_gemma":[0.03470284,0.00033283836,0.0009441998,0.0041729123,0.002847083,0.004197444,0.0018797286,0.0021418831,0.00036665544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015232955,0.0057228277,0.18610492,0.0047550555,0.0012358548,0.0057139522,0.013893732,0.08556435,0.0063278815,0.23813027,0.13223463,0.30508363],"study_design_scores_gemma":[0.006231197,0.015790576,0.32589832,0.0032788177,0.0023677193,0.0007869653,0.16782218,0.04431143,0.007457743,0.07565701,0.34993243,0.000465623],"about_ca_topic_score_codex":0.14219086,"about_ca_topic_score_gemma":0.108894326,"teacher_disagreement_score":0.14219086,"about_ca_system_score_codex":0.020870944,"about_ca_system_score_gemma":0.015346964,"threshold_uncertainty_score":0.28272647},"labels":[],"label_agreement":null},{"id":"W2238514221","doi":"10.22004/ag.econ.149734","title":"Implications of Current and Alternative Water Allocation Policies in the Bow River Sub Basin of Southern Alberta","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"University of Lethbridge; Alberta Water Research Institute","keywords":"Irrigation; Margin (machine learning); License; Water resource management; Seniority; Water trading; Marginal value; Business; Natural resource economics; Environmental science; Economics; Water conservation; Computer science; Engineering; Microeconomics","score_opus":0.019169044134310084,"score_gpt":0.20703083506120074,"score_spread":0.18786179092689065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238514221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894252,0.00016533949,0.0019489382,0.0011641016,0.000011449298,0.000027307113,0.000152649,0.000027483986,0.007077561],"genre_scores_gemma":[0.9976404,0.00011670171,0.0006720883,0.00006985612,0.000002646115,0.0000059533336,0.000052873173,0.0000033134975,0.0014361786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992041,0.0002444941,0.000021178772,0.00006454237,0.00018322958,0.000282438],"domain_scores_gemma":[0.9994061,0.00022896359,0.000097850665,0.00002243453,0.00014378727,0.00010084439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010986258,0.00023848373,0.0003194849,0.00043915585,0.0008122157,0.0019734465,0.001191844,0.00071403215,0.0012244718],"category_scores_gemma":[0.0027125103,0.00022696111,0.00028838558,0.00088502583,0.0014462556,0.00086612627,0.000707953,0.0005208262,0.00005313544],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066237315,0.00028185616,0.116847046,0.0001593788,0.00013570323,0.00093275163,0.0006695827,0.7907836,0.0062013925,0.05001571,0.0025002244,0.030810324],"study_design_scores_gemma":[0.0001967905,0.0004200686,0.13768442,0.00007772856,0.00015283118,0.00013939559,0.011544888,0.8124844,0.0030397866,0.022371111,0.011799449,0.000089110545],"about_ca_topic_score_codex":0.71947503,"about_ca_topic_score_gemma":0.8480051,"teacher_disagreement_score":0.28052497,"about_ca_system_score_codex":0.016142016,"about_ca_system_score_gemma":0.010835449,"threshold_uncertainty_score":0.56435406},"labels":[],"label_agreement":null},{"id":"W2239832954","doi":"10.22004/ag.econ.125231","title":"OEUFS DÉCOQUILLÉS AU CANADA Le prix de référence est‐il approprié?","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Representativeness heuristic; Index (typography); Complementarity (molecular biology); Geography; Economics; Agricultural economics; Agricultural science; Biology; Mathematics; Statistics; Computer science","score_opus":0.029105852155841,"score_gpt":0.18866244672388788,"score_spread":0.15955659456804688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239832954","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38155332,0.028534524,0.014968619,0.06462261,0.0013588648,0.00007136461,0.004439086,0.0004999642,0.50395167],"genre_scores_gemma":[0.89196366,0.0056608124,0.0028529332,0.0018689751,0.00018339118,0.000012551098,0.0007897059,0.00013119394,0.09653671],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99699605,0.00041044562,0.00007830131,0.00036526268,0.0015851618,0.00056485116],"domain_scores_gemma":[0.9949528,0.0008748046,0.00065673667,0.00036532915,0.0026964364,0.00045391213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022770686,0.0002906634,0.00053144,0.0018013169,0.0038910764,0.0067703445,0.00088096666,0.001071322,0.022770125],"category_scores_gemma":[0.012158727,0.00019995874,0.00038541824,0.0043577887,0.0023389594,0.0030087437,0.0010070096,0.0011667829,0.0018648934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043619974,0.00007201467,0.072134584,0.00027009007,0.00011834132,0.0016192335,0.0064697326,0.002142098,0.00206469,0.58458257,0.080723844,0.24936661],"study_design_scores_gemma":[0.00004195572,0.00005371938,0.12175688,0.00048325682,0.000068473295,0.0010595996,0.011726456,0.004461327,0.0024755436,0.036381662,0.8213483,0.00014281708],"about_ca_topic_score_codex":0.87667125,"about_ca_topic_score_gemma":0.8732142,"teacher_disagreement_score":0.123328745,"about_ca_system_score_codex":0.018981438,"about_ca_system_score_gemma":0.018606227,"threshold_uncertainty_score":0.24811006},"labels":[],"label_agreement":null},{"id":"W2242931161","doi":"10.22004/ag.econ.158981","title":"Childhood Food Insecurity: Factors Associated with the National School Lunch Program in the U.S.","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food insecurity; Psychosocial; Depression (economics); Psychology; Anxiety; Food security; Environmental health; Quarter (Canadian coin); Gerontology; Developmental psychology; Medicine; Economics; Geography; Psychiatry; Agriculture","score_opus":0.16502365597428398,"score_gpt":0.37641997681920797,"score_spread":0.211396320844924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242931161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979519,0.00037071758,0.00002196566,0.0006222351,0.000012820278,0.0000069360813,0.00041893325,0.0000027600458,0.0005917111],"genre_scores_gemma":[0.9990939,0.0002781463,0.000037704518,0.000076423225,0.000010098855,0.000007707917,0.00032795343,0.0000020102661,0.00016604661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940884,0.00017879243,0.00006746626,0.00008131941,0.00009213009,0.00017147303],"domain_scores_gemma":[0.99750996,0.00027294297,0.0010231897,0.000088053595,0.00022505956,0.0008807439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006569777,0.00021361506,0.000199006,0.00093662675,0.0010849858,0.00086070347,0.0006697841,0.0007322995,0.0023522668],"category_scores_gemma":[0.0028835,0.0004042373,0.00039644062,0.0016901579,0.0005677912,0.00073047343,0.0012306354,0.0016955747,0.00018598657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018517605,0.00006599405,0.99881256,0.000003540864,0.000011109233,0.000028546294,0.00014578359,0.000030185303,0.0000147240125,0.000033250544,0.00021413293,0.000621797],"study_design_scores_gemma":[0.0000013827174,0.000020490399,0.99882585,0.000012968231,0.0000049658556,0.000049507646,0.00084187597,0.00006903056,0.000010508045,0.000015032857,0.0001465248,0.0000018388672],"about_ca_topic_score_codex":0.14805616,"about_ca_topic_score_gemma":0.25990283,"teacher_disagreement_score":0.14805616,"about_ca_system_score_codex":0.0012160596,"about_ca_system_score_gemma":0.0017387749,"threshold_uncertainty_score":0.2943887},"labels":[],"label_agreement":null},{"id":"W2243435967","doi":"10.22004/ag.econ.306066","title":"Analysis and Transfer of Commodity-Specific Shortlines in Western Canada - Case Study: CN Avonlea Subdivision","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subdivision; Transfer (computing); Commodity; Line (geometry); Class (philosophy); Qualitative analysis; Economics; Geography; Qualitative research; Computer science; Finance; Mathematics; Sociology; Artificial intelligence; Archaeology; Geometry","score_opus":0.041727514894629066,"score_gpt":0.21137447830327818,"score_spread":0.16964696340864913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243435967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757053,0.00028729002,0.0005217548,0.00041560605,0.000006643595,0.00015114856,0.0009665932,0.000020215566,0.021925483],"genre_scores_gemma":[0.979039,0.00063983124,0.0008630755,0.00011370964,0.0000042019783,0.00006993312,0.0009984518,0.000012645145,0.018259108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986084,0.00011349238,0.000034434015,0.00009086389,0.000351175,0.00080172997],"domain_scores_gemma":[0.99847156,0.00019063003,0.00015375599,0.000046560403,0.00075234997,0.00038508693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005712721,0.00039528793,0.00026353664,0.0027343456,0.005930029,0.002802098,0.001465999,0.00092698785,0.0035265423],"category_scores_gemma":[0.0019386479,0.00020302625,0.0004082139,0.008236721,0.0013075585,0.0007154322,0.0014460641,0.00078661094,0.00022203941],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005108839,0.00078686356,0.71455985,0.00042438312,0.00013219532,0.02166949,0.045432344,0.034696113,0.002832802,0.05691063,0.016184485,0.10586005],"study_design_scores_gemma":[0.000034493303,0.00018939826,0.67090464,0.0003101873,0.000102919665,0.0016363411,0.22227868,0.021717055,0.0017420038,0.00187256,0.079120114,0.00009161575],"about_ca_topic_score_codex":0.99395376,"about_ca_topic_score_gemma":0.99561703,"teacher_disagreement_score":0.08822239,"about_ca_system_score_codex":0.08822239,"about_ca_system_score_gemma":0.05134672,"threshold_uncertainty_score":0.64010125},"labels":[],"label_agreement":null},{"id":"W2243738317","doi":"10.22004/ag.econ.306087","title":"Re-engineering the Logistics of Canadian Grain Handling, or \"Back to the Sacks?\"","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Containerization; Business; Industrial organization; Engineering; Operations management; Manufacturing engineering; Engineering management; Marketing; Mechanical engineering; Container (type theory)","score_opus":0.08612279501408204,"score_gpt":0.2248385781425632,"score_spread":0.13871578312848115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243738317","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19806747,0.008068618,0.05232669,0.15318766,0.0019658054,0.00035005636,0.001084253,0.001571486,0.5833779],"genre_scores_gemma":[0.7574187,0.010331371,0.04156245,0.009907305,0.00024469037,0.000056562505,0.0008037701,0.00046746898,0.17920771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975229,0.0002934036,0.000061957915,0.0002798598,0.0010565004,0.00078531756],"domain_scores_gemma":[0.9977489,0.000116504554,0.00014538979,0.00033821585,0.0013909086,0.0002601122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019223978,0.00057447347,0.0001843309,0.0020412004,0.009535397,0.009470922,0.0020006553,0.0014036127,0.008183203],"category_scores_gemma":[0.0037528493,0.0003480892,0.0005109096,0.0031735846,0.008258411,0.0064267754,0.0024796545,0.0022787722,0.0014091199],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012803407,0.000073762145,0.011900731,0.00026657694,0.000040381103,0.0008457207,0.0057557425,0.010058379,0.004672369,0.5065583,0.094830215,0.36486977],"study_design_scores_gemma":[0.000017530154,0.0000700932,0.01564125,0.00033146507,0.000042794065,0.00038432033,0.013894141,0.004189262,0.0031685948,0.03871544,0.9232939,0.00025117575],"about_ca_topic_score_codex":0.95537573,"about_ca_topic_score_gemma":0.9725219,"teacher_disagreement_score":0.0777681,"about_ca_system_score_codex":0.0777681,"about_ca_system_score_gemma":0.11967343,"threshold_uncertainty_score":0.56424975},"labels":[],"label_agreement":null},{"id":"W2243839600","doi":"10.22004/ag.econ.103385","title":"U.S. Consumers’ Preference and Willingness to Pay for Country-of-Origin-Labeled Beef Steak and Food Safety Enhancements","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Conjoint analysis; Loin; Business; Preference; Quality (philosophy); Country of origin; Food safety; Perception; Agricultural science; Agricultural economics; Marketing; Advertising; Food science; Economics; Psychology","score_opus":0.052285696564365554,"score_gpt":0.21028439392228607,"score_spread":0.15799869735792052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243839600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998919,0.000029710403,0.000029746237,0.00007919359,0.0000019038725,0.0000017057871,0.000044883065,7.7897425e-7,0.0008931296],"genre_scores_gemma":[0.9995198,0.000026799047,0.00006345292,0.000054802906,0.0000018129313,0.0000019098272,0.00006549854,4.011826e-7,0.0002655731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982363,0.00007908198,0.000010045233,0.000021934069,0.000040468007,0.000024837542],"domain_scores_gemma":[0.99874735,0.0005269255,0.00042160935,0.000050953688,0.00013774812,0.00011539049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000511158,0.00010580039,0.000094238494,0.000246196,0.00024549116,0.00046399096,0.00006117886,0.0003001235,0.004658777],"category_scores_gemma":[0.0017912306,0.00006825792,0.00025190966,0.00031661135,0.00020714586,0.0002046819,0.00015492976,0.0002636407,0.00029657286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047790076,0.00025451675,0.9825017,0.000020415267,0.00006749485,0.00009337386,0.00096518896,0.00027062156,0.0016397067,0.0002150822,0.0008052644,0.012688883],"study_design_scores_gemma":[0.00001300848,0.00025295332,0.9949463,0.000012712811,0.000036736517,0.00010535327,0.0028633317,0.00069825543,0.0002684454,0.00011419772,0.00067999936,0.000008816781],"about_ca_topic_score_codex":0.010523315,"about_ca_topic_score_gemma":0.021867886,"teacher_disagreement_score":0.010523315,"about_ca_system_score_codex":0.0002917417,"about_ca_system_score_gemma":0.00012566973,"threshold_uncertainty_score":0.020924151},"labels":[],"label_agreement":null},{"id":"W2243871006","doi":"10.22004/ag.econ.306086","title":"Performance Evaluation by North American Carriers: Preliminary Thoughts","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Phase (matter); Business; Order (exchange); Service (business); Component (thermodynamics); Marketing; Finance","score_opus":0.03142526385768799,"score_gpt":0.21137769054263697,"score_spread":0.17995242668494899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243871006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70808965,0.011078337,0.003226304,0.09900399,0.00038277076,0.0005703939,0.0003368736,0.000064366,0.1772473],"genre_scores_gemma":[0.97756064,0.004895682,0.0018929958,0.0033482087,0.00017521321,0.00020334587,0.00015352997,0.00001541896,0.011754982],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9817965,0.010962333,0.0007590808,0.000589234,0.0044486984,0.0014441487],"domain_scores_gemma":[0.957588,0.014810937,0.0017383437,0.00070064,0.0236307,0.0015314197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02355466,0.00034636716,0.00031109297,0.00217614,0.0044189845,0.004137623,0.00087007514,0.0009995893,0.0032114096],"category_scores_gemma":[0.027610352,0.00020705977,0.0002776331,0.0049240547,0.0023592892,0.0030423154,0.0016380217,0.0016587339,0.00037929957],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000991322,0.0020515944,0.28075165,0.0011570739,0.000089261455,0.0012496624,0.20260271,0.0017504807,0.00450361,0.060759816,0.07038636,0.37370637],"study_design_scores_gemma":[0.00005943721,0.0024761623,0.3531057,0.0017201656,0.0001020438,0.00035476408,0.45766178,0.0023217022,0.0041452534,0.006552173,0.17135434,0.0001464618],"about_ca_topic_score_codex":0.21805543,"about_ca_topic_score_gemma":0.4005649,"teacher_disagreement_score":0.21805543,"about_ca_system_score_codex":0.01360577,"about_ca_system_score_gemma":0.013875394,"threshold_uncertainty_score":0.4335724},"labels":[],"label_agreement":null},{"id":"W2244841916","doi":"10.22004/ag.econ.306084","title":"The Economy-Transportation Linkage in Ontario: A Sectoral Perspective","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Distribution (mathematics); Perspective (graphical); Goods and services; Production (economics); Regional science; Economy; Economics; Business; Economic geography; Geography; Sociology; Microeconomics; Computer science","score_opus":0.03677010274472548,"score_gpt":0.2554544014185062,"score_spread":0.21868429867378075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244841916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79969263,0.0072737667,0.002072464,0.019950759,0.00007352702,0.00021371183,0.0075019635,0.000044450077,0.16317669],"genre_scores_gemma":[0.9882931,0.0034022941,0.0007592344,0.00025727213,0.000016083664,0.000038428327,0.00054547214,0.000006414367,0.006681655],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895203,0.00014303387,0.000042824235,0.000066531655,0.0003387616,0.00045666506],"domain_scores_gemma":[0.9983115,0.00023563967,0.00032356303,0.000053007472,0.0008075036,0.00026881756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000682379,0.00018782356,0.00023223733,0.0030467773,0.004707615,0.0033694776,0.0005957928,0.00048249224,0.0032972877],"category_scores_gemma":[0.0022712012,0.00022211902,0.00031155272,0.0104386415,0.002147882,0.0012367683,0.0017387966,0.0004734254,0.00013693773],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010515762,0.00008403557,0.7127316,0.0008959315,0.00015359804,0.0015085102,0.041550897,0.008431879,0.001545986,0.15320437,0.017240288,0.06254777],"study_design_scores_gemma":[0.000009115767,0.000036357786,0.8633967,0.00040365575,0.00007410236,0.00013859519,0.04019136,0.002506913,0.00019462545,0.0050968295,0.08789922,0.000052563882],"about_ca_topic_score_codex":0.9963122,"about_ca_topic_score_gemma":0.99848324,"teacher_disagreement_score":0.09547674,"about_ca_system_score_codex":0.09547674,"about_ca_system_score_gemma":0.089551985,"threshold_uncertainty_score":0.69273543},"labels":[],"label_agreement":null},{"id":"W2247034589","doi":"10.22004/ag.econ.306697","title":"The Keystone XL Pipeline Project","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Diverse Research and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Keystone species; Computer science; Biology; Ecology; Programming language","score_opus":0.07739642669991409,"score_gpt":0.26468613370337996,"score_spread":0.18728970700346587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247034589","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041389465,0.0021397409,0.0056063114,0.032045238,0.0017982121,0.0004881522,0.005635166,0.0015114689,0.90938616],"genre_scores_gemma":[0.08491132,0.0019009031,0.00627471,0.0047197295,0.00011790398,0.00029714673,0.004150359,0.00036124408,0.8972667],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861944,0.00016229159,0.000026913072,0.00018121692,0.00057100545,0.00043903978],"domain_scores_gemma":[0.99838245,0.0001591004,0.00003761549,0.00011780545,0.0004998562,0.00080317614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015512819,0.0003328466,0.00012814229,0.0006811591,0.004378556,0.003954534,0.0008966248,0.0010701439,0.09554867],"category_scores_gemma":[0.0023727121,0.00024050685,0.00016411503,0.00078168744,0.0010833214,0.0028172522,0.0041771987,0.0012583594,0.018651139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001681941,0.00013225574,0.003200426,0.00013530753,0.0000045653715,0.00030594412,0.0017319052,0.00013994458,0.0017951983,0.06560358,0.78918713,0.13759555],"study_design_scores_gemma":[0.000012355302,0.000037952803,0.0013037529,0.00003432781,0.0000020451025,0.000046171233,0.0012877412,0.0000672567,0.0004221787,0.0015794514,0.99520004,0.0000067552096],"about_ca_topic_score_codex":0.10975388,"about_ca_topic_score_gemma":0.24247172,"teacher_disagreement_score":0.89024615,"about_ca_system_score_codex":0.006160762,"about_ca_system_score_gemma":0.017280707,"threshold_uncertainty_score":0.31964213},"labels":[],"label_agreement":null},{"id":"W2247560631","doi":"10.22004/ag.econ.306083","title":"Pavement Deterioration and Truck Loads in Winnipeg","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Axle; Engineering; Axle load; Transport engineering; Forensic engineering; Civil engineering; Structural engineering; Automotive engineering","score_opus":0.031181536549027125,"score_gpt":0.22172994145096947,"score_spread":0.19054840490194236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247560631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747,0.00011312886,0.00004229022,0.00014286255,0.0000045872275,0.000017866225,0.0007385882,0.000004609852,0.0014660445],"genre_scores_gemma":[0.9948639,0.00013596217,0.000094041556,0.000024213767,0.0000016791423,0.000008509353,0.00041002865,0.000006735151,0.004454983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997249,0.000035263598,0.000012290674,0.00003167345,0.00005380524,0.00014213033],"domain_scores_gemma":[0.99965394,0.000024669229,0.00007587752,0.000009467831,0.00012346478,0.000112534595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029779968,0.00020843606,0.00019342828,0.0010281237,0.00086879183,0.0010028807,0.000542613,0.00027918298,0.002415951],"category_scores_gemma":[0.0014360778,0.0002732062,0.00023008403,0.0015124523,0.00037756286,0.00043433995,0.00081514305,0.0003450727,0.00023351738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005577851,0.00008463533,0.97397035,0.000042094012,0.0000732993,0.0007000424,0.0032124196,0.0027208214,0.0007400454,0.00144532,0.0025708596,0.013882358],"study_design_scores_gemma":[0.000011565394,0.00003588676,0.9909163,0.00001612994,0.000013250662,0.0000550668,0.0039503397,0.0010470618,0.00016966349,0.00007527974,0.0037021686,0.0000072516154],"about_ca_topic_score_codex":0.96427375,"about_ca_topic_score_gemma":0.98759925,"teacher_disagreement_score":0.03572625,"about_ca_system_score_codex":0.014391646,"about_ca_system_score_gemma":0.007150046,"threshold_uncertainty_score":0.10441917},"labels":[],"label_agreement":null},{"id":"W2247852206","doi":"10.22004/ag.econ.306075","title":"The State of the Canadian Intercity Highway System, 1986-1993","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Highway system; State (computer science); State highway; Quality (philosophy); Computer science; Engineering","score_opus":0.02864862259105338,"score_gpt":0.23212113553657002,"score_spread":0.20347251294551663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247852206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4422073,0.014976593,0.0012886601,0.008839043,0.00036230413,0.00029241733,0.40071905,0.00028172234,0.13103282],"genre_scores_gemma":[0.8062075,0.0076688803,0.0014268808,0.0005154663,0.000060118575,0.00009154643,0.079488166,0.000042679305,0.104498774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985753,0.000050086495,0.00005077839,0.00011255488,0.0007389002,0.00047236626],"domain_scores_gemma":[0.9950989,0.00013900251,0.0003332526,0.00006367356,0.003999712,0.000365487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079698506,0.00038757754,0.00031361944,0.00432283,0.0030794484,0.0022563331,0.0015159617,0.0004809723,0.0060040564],"category_scores_gemma":[0.0046396237,0.00035929724,0.0004272963,0.011766826,0.0006304663,0.00077593164,0.0007134492,0.0007243948,0.0008689405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029420806,0.00010959684,0.55507994,0.00063786225,0.0002296821,0.0003423768,0.0021641944,0.008418389,0.00030249116,0.019598959,0.32343188,0.08939051],"study_design_scores_gemma":[0.000010256022,0.000008245694,0.90880024,0.00011352561,0.000050536728,0.00005040167,0.0012390293,0.0015926309,0.00018759829,0.0002884395,0.08763421,0.00002473056],"about_ca_topic_score_codex":0.99888104,"about_ca_topic_score_gemma":0.9997155,"teacher_disagreement_score":0.10794391,"about_ca_system_score_codex":0.10794391,"about_ca_system_score_gemma":0.102352545,"threshold_uncertainty_score":0.78319156},"labels":[],"label_agreement":null},{"id":"W2249037978","doi":"10.22004/ag.econ.306079","title":"Emissions From Light-Duty Vehicles in Hamilton-Wentworth Under Policy Scenarios: Applications of an Integrated Model","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Environment; McMaster University","keywords":"Workgroup; Air quality index; Metropolitan area; Transport engineering; Air pollution; Land use; Environmental science; Environmental planning; Engineering; Civil engineering; Computer science; Meteorology; Geography","score_opus":0.025241488966406503,"score_gpt":0.23508659992543637,"score_spread":0.20984511095902986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2249037978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96256804,0.00018291954,0.0075386697,0.001254759,0.00004928192,0.00016093189,0.0030223848,0.00010207673,0.025121013],"genre_scores_gemma":[0.99457884,0.00008949326,0.0008788337,0.000052626026,0.000006856116,0.00004289926,0.0004458272,0.000016027592,0.0038885411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951124,0.00017912839,0.000013922615,0.00007681634,0.000043920038,0.00017495453],"domain_scores_gemma":[0.9993212,0.0003755849,0.000054348726,0.00002846251,0.00013680647,0.000083682775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082566304,0.0006185032,0.00085887325,0.0006456536,0.00066535757,0.0021604183,0.0015341538,0.0019087056,0.00300082],"category_scores_gemma":[0.0014968914,0.0005981557,0.0012495492,0.0009936203,0.0007344717,0.0017249016,0.0008875719,0.0010387048,0.00019105329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016953191,0.00007375913,0.002572806,0.00002060407,0.000028421253,0.00009427569,0.00003010073,0.9886514,0.00020573333,0.006306731,0.00081341295,0.0010332981],"study_design_scores_gemma":[0.00010200418,0.00007693925,0.003051159,0.00000884493,0.00004889059,0.000008453375,0.00020704314,0.9920493,0.00020880954,0.0034726018,0.0007414592,0.000024447687],"about_ca_topic_score_codex":0.63557154,"about_ca_topic_score_gemma":0.5581984,"teacher_disagreement_score":0.36442846,"about_ca_system_score_codex":0.011510227,"about_ca_system_score_gemma":0.0054341573,"threshold_uncertainty_score":0.7331493},"labels":[],"label_agreement":null},{"id":"W2249938741","doi":"10.22004/ag.econ.306078","title":"What Is Canada's National Transportation Policy?","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deregulation; Commercialization; Subsidy; Business; Economic policy; Economics; International trade; Market economy; Marketing","score_opus":0.02890479181071419,"score_gpt":0.20439887253699807,"score_spread":0.17549408072628386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2249938741","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072151427,0.036962952,0.0012177776,0.6787104,0.008706634,0.00015936443,0.012832727,0.00051947904,0.25367552],"genre_scores_gemma":[0.22539188,0.0808233,0.013895892,0.3720014,0.0029406617,0.0004970343,0.017542413,0.00045242714,0.2864551],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98946047,0.00068532384,0.0003124935,0.0007331981,0.0055938694,0.0032146377],"domain_scores_gemma":[0.9789017,0.0006747801,0.00038238452,0.00023672445,0.015245219,0.0045592836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004604958,0.0009277831,0.0012771569,0.005494632,0.017430957,0.016734907,0.003328155,0.006940048,0.014501903],"category_scores_gemma":[0.011242833,0.000674195,0.0011609193,0.009227087,0.004783415,0.005350831,0.0018276611,0.0067087705,0.0030615095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000030452848,0.000060816343,0.0036809759,0.0004655755,0.00005112222,0.00018230025,0.0005718733,0.00080268964,0.00017303895,0.09397734,0.8530507,0.0469531],"study_design_scores_gemma":[0.00001941971,0.0000100393445,0.00956458,0.001003198,0.00003754677,0.000052288804,0.0015090544,0.00062785775,0.000096536976,0.0064745857,0.98050976,0.0000952253],"about_ca_topic_score_codex":0.9959125,"about_ca_topic_score_gemma":0.9956311,"teacher_disagreement_score":0.7580118,"about_ca_system_score_codex":0.2419882,"about_ca_system_score_gemma":0.5550751,"threshold_uncertainty_score":0.8791863},"labels":[],"label_agreement":null},{"id":"W2252354617","doi":"10.22004/ag.econ.134293","title":"The Impact of Agriculture on Waterfowl Abundance: Evidence from Panel Data","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Waterfowl; Wetland; Productivity; Externality; Agriculture; Panel data; Abundance (ecology); Habitat; Range (aeronautics); Geography; Natural resource economics; Environmental resource management; Ecology; Environmental science; Economics; Econometrics; Biology","score_opus":0.2763801325137116,"score_gpt":0.2665049983023967,"score_spread":0.009875134211314862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252354617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849178,0.0007860566,0.0019819061,0.00088693405,0.000033853637,0.000020546082,0.007478427,0.00002777881,0.0038666571],"genre_scores_gemma":[0.99234784,0.0005272073,0.00037402072,0.00018218068,0.000029240035,0.000015999389,0.0058235833,0.0000075927,0.0006923598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974775,0.0015511058,0.00011905733,0.00034705386,0.0002886585,0.00021663775],"domain_scores_gemma":[0.9376386,0.039522197,0.014142237,0.0050184387,0.0025362382,0.0011422604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004954611,0.0002698422,0.00044733763,0.000723204,0.0004162282,0.000947152,0.0006856358,0.0008438118,0.0049443673],"category_scores_gemma":[0.019050516,0.00028645917,0.0007442215,0.002064134,0.0005112472,0.00081050233,0.0006303963,0.0010768392,0.00062624435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036388,0.00016526747,0.97714394,0.00005311108,0.0011496879,0.00010753893,0.0001652454,0.0056750425,0.00010496808,0.00050986226,0.0038885465,0.010672907],"study_design_scores_gemma":[0.000038925962,0.000114711744,0.9867163,0.000046424528,0.00039630732,0.000041595,0.0003891381,0.009037617,0.00018535134,0.00086210767,0.0021472229,0.000024347448],"about_ca_topic_score_codex":0.0867637,"about_ca_topic_score_gemma":0.1042684,"teacher_disagreement_score":0.0867637,"about_ca_system_score_codex":0.0006388056,"about_ca_system_score_gemma":0.0003696372,"threshold_uncertainty_score":0.17251736},"labels":[],"label_agreement":null},{"id":"W2255696483","doi":"10.22004/ag.econ.166088","title":"SOCIAL DETERMINANTS OF ADOPTION OF INTEGRATED PEST MANAGEMENT (IPM) BY QUEBEC GRAIN FARMERS","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Integrated pest management; Business; Incentive; Production (economics); Agriculture; Marketing; Logit; Socioeconomic status; Discrete choice; Identification (biology); Agribusiness; Agricultural science; Public economics; Agricultural economics; Economics; Microeconomics","score_opus":0.03368538448319049,"score_gpt":0.24829878370558134,"score_spread":0.21461339922239084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255696483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822336,0.000059902784,0.000057430545,0.00019489651,0.0000014816073,0.000012684425,0.00014158228,0.000001992432,0.0013067032],"genre_scores_gemma":[0.99907756,0.00005773279,0.0000649693,0.000029601104,0.0000012813306,0.000005524745,0.00007861691,7.2522255e-7,0.0006839051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996519,0.000092041126,0.0000142600475,0.000040767314,0.000091665686,0.000109393106],"domain_scores_gemma":[0.9975152,0.0006902636,0.00078256696,0.00006798791,0.00053828815,0.0004057216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005475964,0.00012225233,0.000108321285,0.0003691384,0.0007715983,0.00072285876,0.00030463305,0.00029675613,0.0040980116],"category_scores_gemma":[0.002571076,0.00008648282,0.00016432955,0.00052601384,0.00048097366,0.00026466142,0.00023760015,0.00039793775,0.00017567823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006639666,0.00012825268,0.9849648,0.000019660853,0.00002863342,0.00016272759,0.0015112025,0.0005110041,0.0007438126,0.00016073287,0.00053734053,0.011165571],"study_design_scores_gemma":[0.0000026033417,0.000029043356,0.9973042,0.000010727704,0.0000050100243,0.000017708413,0.0013102033,0.00075534714,0.00004065164,0.00001947905,0.00050025916,0.000004737817],"about_ca_topic_score_codex":0.90208435,"about_ca_topic_score_gemma":0.94728786,"teacher_disagreement_score":0.09791565,"about_ca_system_score_codex":0.006351991,"about_ca_system_score_gemma":0.0033854223,"threshold_uncertainty_score":0.19698453},"labels":[],"label_agreement":null},{"id":"W2262017500","doi":"10.22004/ag.econ.204255","title":"The Effects of R&D on Agricultural Productivity of Australian Broadacre Agriculture: A Semiparametric Smooth Coefficient Approach","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Aston University; University of Queensland; Monash University; Binghamton University; McMaster University","keywords":"Agriculture; Production (economics); Productivity; Economics; Econometrics; Parametric statistics; Total factor productivity; Nonparametric statistics; Function (biology); Mathematics; Geography; Statistics; Microeconomics; Macroeconomics","score_opus":0.0822296904608945,"score_gpt":0.31079981086175096,"score_spread":0.22857012040085645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262017500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94155633,0.0011180259,0.049997445,0.0010129258,0.000028002582,0.0000871229,0.0022958776,0.00018457168,0.0037197296],"genre_scores_gemma":[0.9928934,0.00042260002,0.0030314154,0.00006558769,0.000021839776,0.00003562188,0.0012070874,0.000019590458,0.002302785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99571323,0.0022913534,0.00021681027,0.0007865445,0.00049410237,0.00049788214],"domain_scores_gemma":[0.9734171,0.020272309,0.0031102782,0.0015657399,0.0011281738,0.0005064622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072066556,0.00061537774,0.0014578903,0.0023277537,0.00037429735,0.0016625402,0.0012291623,0.0011640748,0.0027356357],"category_scores_gemma":[0.01976498,0.0008121804,0.0021295068,0.0022197878,0.0015520849,0.0013632898,0.0020159397,0.0018792383,0.00055227487],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006043575,0.00021973344,0.32243052,0.00029770166,0.0017550978,0.0006831175,0.0004625145,0.6113591,0.0021686128,0.016675746,0.002476376,0.040867154],"study_design_scores_gemma":[0.00006646533,0.00043650076,0.27299675,0.000057274512,0.0005387976,0.00014310336,0.0003385779,0.70865035,0.0013266945,0.010694948,0.0046402826,0.00011026473],"about_ca_topic_score_codex":0.031961698,"about_ca_topic_score_gemma":0.020285405,"teacher_disagreement_score":0.031961698,"about_ca_system_score_codex":0.0014203693,"about_ca_system_score_gemma":0.0013975198,"threshold_uncertainty_score":0.06355137},"labels":[],"label_agreement":null},{"id":"W2262802791","doi":"10.22004/ag.econ.34171","title":"Immigration Wave Effects on Canada's Trade Flows","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Gravity model of trade; Demographic economics; Economics; International economics; International trade; Geography","score_opus":0.04169053302170586,"score_gpt":0.1844397592148131,"score_spread":0.14274922619310723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262802791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99013114,0.00031100324,0.0010491926,0.00084367295,0.000017460856,0.000028265702,0.0023696644,0.000065476925,0.0051841666],"genre_scores_gemma":[0.99325186,0.00033288155,0.0005346366,0.00006802467,0.0000071603176,0.000008393803,0.0012959436,0.000012155787,0.00448913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994486,0.000109874134,0.000018769195,0.00007828767,0.00012765036,0.00021678035],"domain_scores_gemma":[0.9977059,0.00080705684,0.0004429055,0.00013039976,0.00062940625,0.00028434081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014965936,0.00035301765,0.00039142542,0.0012124458,0.0011117635,0.0016987466,0.00064257986,0.00036729005,0.0042320895],"category_scores_gemma":[0.005731746,0.00020565708,0.0010185271,0.0017136812,0.00059650384,0.0004681078,0.0009309567,0.000841353,0.00023765296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030842752,0.000058579262,0.9372125,0.00003105264,0.00020320827,0.00029688864,0.000679198,0.035479836,0.00032738797,0.006698434,0.0031311088,0.015573317],"study_design_scores_gemma":[0.00006128546,0.000074666765,0.9271099,0.000047265505,0.00024141815,0.00007954197,0.0011030951,0.06472222,0.0004538231,0.0010900368,0.0049786298,0.000038154136],"about_ca_topic_score_codex":0.9785428,"about_ca_topic_score_gemma":0.96485984,"teacher_disagreement_score":0.021457195,"about_ca_system_score_codex":0.009199608,"about_ca_system_score_gemma":0.013594895,"threshold_uncertainty_score":0.06674814},"labels":[],"label_agreement":null},{"id":"W2263128535","doi":"10.22004/ag.econ.13779","title":"AN OPTION PERSPECTIVE ON GENERATING AND MAINTAINING PLANT VARIETY RIGHTS IN CHINA","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"China; Variety (cybernetics); Intellectual property; TRIPS architecture; Incentive; Revenue; Context (archaeology); Plant variety; Business; Productivity; Property rights; International trade; Natural resource economics; Economics; Economic growth; Market economy; Law; Engineering; Finance; Political science; Geography; Microeconomics","score_opus":0.05951601130882162,"score_gpt":0.22192902128761602,"score_spread":0.1624130099787944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263128535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9036957,0.0005633476,0.0063464944,0.0025716862,0.000012057814,0.00006588685,0.00011427725,0.000014954032,0.08661558],"genre_scores_gemma":[0.99726886,0.00012633098,0.00040118472,0.00005415901,0.0000067829264,0.000007970593,0.000014417802,0.0000015402677,0.0021187826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899536,0.00029591515,0.000043460157,0.00013706571,0.00018526817,0.00034287397],"domain_scores_gemma":[0.99818027,0.0006772639,0.00049094204,0.00016346057,0.00022300304,0.0002651044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018926734,0.00021250284,0.0002507109,0.0017297643,0.0014742083,0.0027695731,0.0008094134,0.0011158839,0.0075213443],"category_scores_gemma":[0.0026377172,0.00015154555,0.00043836766,0.0015260711,0.0046624267,0.0029757002,0.0011760046,0.0008039296,0.0001660353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009605997,0.0001067417,0.064754814,0.00006190339,0.00003201741,0.001007767,0.0027682441,0.013004229,0.0019969104,0.88854784,0.00081606605,0.026807379],"study_design_scores_gemma":[0.00016296247,0.00031618,0.22997482,0.00016215447,0.00010308975,0.0007166815,0.009248183,0.07135122,0.0034177336,0.6425993,0.041816562,0.00013120702],"about_ca_topic_score_codex":0.029863855,"about_ca_topic_score_gemma":0.03832732,"teacher_disagreement_score":0.029863855,"about_ca_system_score_codex":0.004895203,"about_ca_system_score_gemma":0.0035351703,"threshold_uncertainty_score":0.059380054},"labels":[],"label_agreement":null},{"id":"W2263407389","doi":"10.22004/ag.econ.274654","title":"A fractionally cointegrated VAR analysis of price discovery in commodity futures markets","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Normal backwardation; Cointegration; Price discovery; Futures contract; Contango; Econometrics; Economics; Autoregressive model; Error correction model; Vector autoregression; Spot contract; Financial economics","score_opus":0.026765226385628373,"score_gpt":0.23080050478425812,"score_spread":0.20403527839862975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263407389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6512595,0.00072105404,0.34442168,0.00035505762,0.000047562167,0.000026099,0.00011204842,0.0002339429,0.0028229898],"genre_scores_gemma":[0.98392636,0.00020518774,0.014565262,0.00002843393,0.00003873137,0.000011012595,0.000113771515,0.000021153854,0.0010901497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928766,0.00024842593,0.000044465363,0.00016068737,0.00015623207,0.0001025149],"domain_scores_gemma":[0.9957942,0.0027323216,0.000827054,0.00035733503,0.0002101572,0.00007905774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001849622,0.00033618434,0.00064659666,0.0014624622,0.00033108224,0.0012759009,0.00071416685,0.0008467928,0.0013042222],"category_scores_gemma":[0.0073116603,0.00025343653,0.00090965774,0.0012279412,0.0005880441,0.0018702156,0.0006139735,0.0007358214,0.00010739216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045672114,0.0002273743,0.052181534,0.00021074682,0.00068447634,0.0022727188,0.0009121804,0.58556956,0.018894834,0.22461729,0.0010028168,0.11296981],"study_design_scores_gemma":[0.000008938916,0.00004660803,0.0077507556,0.0000067685096,0.000033187593,0.00015266525,0.000057016925,0.9649456,0.0010206265,0.025317866,0.00063563953,0.00002441249],"about_ca_topic_score_codex":0.0034280675,"about_ca_topic_score_gemma":0.001564108,"teacher_disagreement_score":0.0034280675,"about_ca_system_score_codex":0.000451458,"about_ca_system_score_gemma":0.00055117003,"threshold_uncertainty_score":0.009781837},"labels":[],"label_agreement":null},{"id":"W2263511721","doi":"10.22004/ag.econ.249518","title":"A climate treaty without the US Congress: Using executive powers to overcome the ‘Ratification Straitjacket’","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian National University","keywords":"Ratification; Treaty; Climate governance; Corporate governance; Pledge; Montreal Protocol; Political science; Law; Law and economics; Business; Economics; Ozone layer","score_opus":0.18699221422558318,"score_gpt":0.2888520311294024,"score_spread":0.1018598169038192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263511721","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05449145,0.0027437166,0.091060944,0.056609426,0.0015991179,0.00029809456,0.00006089982,0.0003753885,0.79276097],"genre_scores_gemma":[0.87981784,0.001584715,0.024348281,0.015601828,0.0006021641,0.0003791416,0.00008439896,0.00032269736,0.077259034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98476267,0.008023605,0.00042375096,0.0015367001,0.0032061301,0.0020471364],"domain_scores_gemma":[0.9899165,0.004987493,0.0008628117,0.0019764171,0.0013380666,0.0009185756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021298913,0.00055780297,0.0003953976,0.0015724179,0.007039279,0.012719168,0.001964882,0.004636808,0.009772412],"category_scores_gemma":[0.036608446,0.00052702386,0.0007754349,0.0016164645,0.0149247125,0.014951214,0.00961316,0.0068793227,0.0015597601],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010857222,0.00001365679,0.000392187,0.00002794812,0.0000064336605,0.00008152124,0.0019129954,0.00067069917,0.00018233519,0.9734344,0.0049412632,0.01832563],"study_design_scores_gemma":[0.00006981461,0.0001679889,0.0020025442,0.0005828203,0.000047787653,0.00012829587,0.0035250376,0.0028109506,0.0012817584,0.44640386,0.54290444,0.00007459163],"about_ca_topic_score_codex":0.017493002,"about_ca_topic_score_gemma":0.025469663,"teacher_disagreement_score":0.021298913,"about_ca_system_score_codex":0.0066185584,"about_ca_system_score_gemma":0.01834265,"threshold_uncertainty_score":0.1126408},"labels":[],"label_agreement":null},{"id":"W2263518959","doi":"10.22004/ag.econ.274676","title":"Affirmative Action and Human Capital Investment: Theory and Evidence from a Randomized Field Experiment","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"School Choice and Performance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Human capital; Investment (military); Disadvantaged; Affirmative action; Competition (biology); Incentive; Order (exchange); Affect (linguistics); Economics; Labour economics; Demographic economics; Microeconomics; Political science; Psychology; Finance; Economic growth","score_opus":0.06366300707313499,"score_gpt":0.33820030644418064,"score_spread":0.27453729937104565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263518959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96687037,0.0004588636,0.015005107,0.0015426815,0.00039914998,0.0029102142,0.0007423286,0.000102058366,0.011969271],"genre_scores_gemma":[0.98148465,0.00024220241,0.0089373235,0.0010693771,0.00016904356,0.0038760921,0.00023292733,0.000018928109,0.003969447],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.983144,0.012221801,0.0005048529,0.0020672614,0.0012805968,0.0007814552],"domain_scores_gemma":[0.8376959,0.12520282,0.01911927,0.012856808,0.0018385297,0.003286628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032227293,0.0009861102,0.0015782259,0.0004890579,0.0013912381,0.0023500435,0.0020766705,0.0027264396,0.017038072],"category_scores_gemma":[0.053114437,0.00067778537,0.00079837453,0.00055875705,0.003922915,0.0019259572,0.0012297624,0.0026054247,0.0015527885],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.30110237,0.22714944,0.14624831,0.002797673,0.0036621492,0.00080923166,0.0034474505,0.019240368,0.017673263,0.11777531,0.015910985,0.14418343],"study_design_scores_gemma":[0.15730326,0.16488215,0.19243051,0.00074475206,0.004641752,0.0006423946,0.0018868346,0.105507344,0.018191868,0.3239344,0.029259952,0.0005747722],"about_ca_topic_score_codex":0.0022773207,"about_ca_topic_score_gemma":0.001305988,"teacher_disagreement_score":0.032227293,"about_ca_system_score_codex":0.0014078638,"about_ca_system_score_gemma":0.0018083544,"threshold_uncertainty_score":0.17043626},"labels":[],"label_agreement":null},{"id":"W2263809486","doi":"10.22004/ag.econ.150137","title":"Hedging Canadian Wheat using U.S. Futures Markets","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Futures contract; Financial economics; Economics; Futures market; Business","score_opus":0.031267671887495664,"score_gpt":0.20263038625095225,"score_spread":0.1713627143634566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263809486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967041,0.001014972,0.0050988663,0.0011743923,0.00013137075,0.000035465822,0.005264744,0.00021482255,0.020024262],"genre_scores_gemma":[0.9929295,0.00037728506,0.0019341685,0.000030523694,0.000015596579,0.0000037943012,0.0015365281,0.000019522648,0.0031530093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998332,0.00001887356,0.0000072991893,0.000029681181,0.00007303433,0.00003790713],"domain_scores_gemma":[0.99958736,0.00009444921,0.000035518206,0.000023807554,0.00022072872,0.000038184706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006196136,0.0004525736,0.0002451464,0.0010357655,0.00080396945,0.0018253122,0.00055301003,0.0004829128,0.002886645],"category_scores_gemma":[0.0025666286,0.00016985652,0.0004505704,0.0016086218,0.0001902342,0.0007994004,0.00034355882,0.00047165027,0.00020028198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012370769,0.00019418892,0.1854976,0.00016155334,0.00031143043,0.00062827935,0.00035206223,0.6209666,0.006290171,0.023754008,0.033710916,0.12689622],"study_design_scores_gemma":[0.000051041687,0.00006145821,0.10327137,0.000023626062,0.000072082395,0.000052863958,0.00028994546,0.8783441,0.002885721,0.0043439735,0.010534063,0.000069620226],"about_ca_topic_score_codex":0.89501417,"about_ca_topic_score_gemma":0.9301163,"teacher_disagreement_score":0.10498583,"about_ca_system_score_codex":0.008842673,"about_ca_system_score_gemma":0.004826713,"threshold_uncertainty_score":0.21120816},"labels":[],"label_agreement":null},{"id":"W2265777725","doi":"10.22004/ag.econ.172139","title":"Changements climatiques et position concurrentielle: le cas de l'agriculture du Québec","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Forestry; Political science; Geography","score_opus":0.02613191000561525,"score_gpt":0.24455264504798543,"score_spread":0.2184207350423702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265777725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82210094,0.004894513,0.007880105,0.011128933,0.00015726748,0.000118056916,0.005394789,0.00011164832,0.14821368],"genre_scores_gemma":[0.97635275,0.0010297863,0.0019783473,0.00025195198,0.000015535781,0.00003142375,0.00054899126,0.000019940482,0.019771328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907947,0.00026060367,0.000017925013,0.00014089141,0.00030204243,0.00019895667],"domain_scores_gemma":[0.99865097,0.00041613742,0.000121469675,0.000046615158,0.0006028312,0.00016203737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009237943,0.00031554158,0.00016761966,0.0007329852,0.0020539644,0.0031520699,0.00047492713,0.00046506737,0.009484584],"category_scores_gemma":[0.0024775018,0.00011705109,0.0002726361,0.002054417,0.0008447921,0.00083514757,0.00047516217,0.0007584358,0.00036785367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005594927,0.00023574455,0.52263606,0.00045450052,0.00036540037,0.0013178503,0.010746852,0.04317141,0.0066274237,0.073947564,0.041195914,0.29874188],"study_design_scores_gemma":[0.00003886352,0.00011084001,0.7419799,0.00029293497,0.00008501057,0.00024390676,0.015398155,0.024412267,0.0015919089,0.003736469,0.21196643,0.00014337964],"about_ca_topic_score_codex":0.98608774,"about_ca_topic_score_gemma":0.99158645,"teacher_disagreement_score":0.039037813,"about_ca_system_score_codex":0.039037813,"about_ca_system_score_gemma":0.019624023,"threshold_uncertainty_score":0.28324044},"labels":[],"label_agreement":null},{"id":"W2268825709","doi":"10.22004/ag.econ.149172","title":"Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Diseconomies of scale; Economics; Inefficiency; Diversification (marketing strategy); Frontier; Production (economics); Incentive; Scope (computer science); Agriculture; Production–possibility frontier; Microeconomics; Business; Economies of scale; Geography","score_opus":0.07768932794645576,"score_gpt":0.34588089059702287,"score_spread":0.2681915626505671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268825709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966084,0.00007460158,0.0025031227,0.000069628826,0.0000021935994,0.000011327388,0.00007332623,0.000005003121,0.0006525963],"genre_scores_gemma":[0.99916637,0.000046040495,0.00044047163,0.000005203504,0.0000013568147,0.000007645578,0.00006102022,0.0000015362032,0.0002704521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99910116,0.0005736613,0.000022369495,0.00008199841,0.000055796394,0.00016505145],"domain_scores_gemma":[0.99524873,0.004019945,0.00035513513,0.000058261096,0.00015305114,0.00016497087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022441414,0.0005786794,0.0006060691,0.000875925,0.00029115682,0.0010552598,0.00051936624,0.0006944894,0.0014350046],"category_scores_gemma":[0.0027647205,0.00023525511,0.00063593575,0.0006492343,0.00047517623,0.0005229304,0.0007905791,0.00042071054,0.00008722558],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046467796,0.00021197528,0.07158635,0.00007636358,0.00018129149,0.0003095266,0.000109696266,0.9177626,0.0023063645,0.0025759786,0.00013092965,0.0042842003],"study_design_scores_gemma":[0.00002552403,0.00040724123,0.06511765,0.000011714943,0.00006088727,0.000034650235,0.00046239808,0.931926,0.00067041855,0.0011246677,0.00013847924,0.00002043089],"about_ca_topic_score_codex":0.02049951,"about_ca_topic_score_gemma":0.015950244,"teacher_disagreement_score":0.02049951,"about_ca_system_score_codex":0.0022119903,"about_ca_system_score_gemma":0.00096856675,"threshold_uncertainty_score":0.04076034},"labels":[],"label_agreement":null},{"id":"W2270855247","doi":"10.22004/ag.econ.198012","title":"Rural Women in Livestock and Fisheries Production Activities: an Empirical Study on Some Selected Coastal Villages in Bangladesh","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Livestock Management and Performance Improvement","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Agriculture; Geography; Socioeconomics; Descriptive statistics; Fishery; Quarter (Canadian coin); Production (economics); Agricultural science; Economics; Biology; Forestry","score_opus":0.031007190363899633,"score_gpt":0.24205477628288777,"score_spread":0.21104758591898815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270855247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946433,0.000057989037,0.000019194213,0.000050277355,9.359549e-7,0.000019783964,0.000062035884,3.7504003e-7,0.0003250504],"genre_scores_gemma":[0.9984219,0.00043653123,0.0000813184,0.000088511966,0.0000046157215,0.00005621325,0.0000849313,0.0000011132548,0.0008248138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996524,0.000112711845,0.000026896036,0.00004844908,0.000049279013,0.00011019038],"domain_scores_gemma":[0.9993837,0.0002101999,0.0001494811,0.000019511644,0.000080682315,0.00015643286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051644456,0.00028654656,0.00032635083,0.00087113405,0.0017074747,0.0006224915,0.000310814,0.00049024087,0.0032740734],"category_scores_gemma":[0.0011560671,0.00046647686,0.00015464373,0.001415419,0.0006996061,0.00059265713,0.0006206479,0.00041387026,0.00061801326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016414507,0.0005196237,0.8272497,0.00027394335,0.00002271327,0.0035008846,0.1536644,0.00004533161,0.0030566114,0.00017704596,0.00048110803,0.010844413],"study_design_scores_gemma":[0.000016435137,0.00085480936,0.7219038,0.000079236925,0.000020716603,0.001492304,0.2728257,0.0000825713,0.00021247249,0.000052226766,0.002439963,0.000019754201],"about_ca_topic_score_codex":0.018997418,"about_ca_topic_score_gemma":0.04047564,"teacher_disagreement_score":0.018997418,"about_ca_system_score_codex":0.0006331677,"about_ca_system_score_gemma":0.00066571025,"threshold_uncertainty_score":0.03777373},"labels":[],"label_agreement":null},{"id":"W2271884316","doi":"10.22004/ag.econ.205756","title":"Risking-sharing Efficiency of Hedging Strategies","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge; Portfolio; Counterparty; Business; Basis risk; Derivatives market; Credit risk; Futures contract; Finance; Capital asset pricing model","score_opus":0.04437112926202876,"score_gpt":0.23140791984953898,"score_spread":0.18703679058751022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271884316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62824523,0.0013347528,0.34544837,0.00043165212,0.00005343942,0.00031116157,0.00018605821,0.0004266828,0.023562597],"genre_scores_gemma":[0.9822406,0.00019650251,0.015827406,0.000031215906,0.000012769925,0.000051500305,0.000050212537,0.000021844588,0.0015680119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974751,0.0010259,0.000227304,0.00035753343,0.0005436721,0.00037043937],"domain_scores_gemma":[0.9853478,0.010023988,0.0011527579,0.0022315383,0.00082828477,0.00041563925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077261883,0.0010579651,0.0015445078,0.0010853419,0.0005332642,0.0025040384,0.0016577202,0.0012604772,0.004950111],"category_scores_gemma":[0.025307786,0.0003958675,0.0006715962,0.0008553227,0.00073559175,0.0029892952,0.0019328716,0.00083867565,0.00051731465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007355567,0.0004491446,0.011211367,0.00019194183,0.00026302302,0.00024127708,0.00046655303,0.6619532,0.0074996846,0.08517428,0.0014372037,0.23037674],"study_design_scores_gemma":[0.00006896536,0.0003543118,0.002495001,0.00003365883,0.00006421024,0.00018854883,0.00014842478,0.94492036,0.0022883422,0.048661776,0.00074679585,0.000029692259],"about_ca_topic_score_codex":0.0012919687,"about_ca_topic_score_gemma":0.000559146,"teacher_disagreement_score":0.0077261883,"about_ca_system_score_codex":0.0010484648,"about_ca_system_score_gemma":0.0012299604,"threshold_uncertainty_score":0.040860474},"labels":[],"label_agreement":null},{"id":"W2271917812","doi":"10.22004/ag.econ.20483","title":"INVESTING IN SOILS: FIELD BUNDS AND MICROCATCHMENTS IN BURKINA FASO","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval; United States Agency for International Development","keywords":"Soil conservation; Tobit model; Agroforestry; Property rights; Surface runoff; Agricultural economics; Water scarcity; Investment (military); Scarcity; Geography; Business; Natural resource economics; Economics; Agriculture; Environmental science; Ecology; Biology","score_opus":0.02713269334646913,"score_gpt":0.22846168828500496,"score_spread":0.20132899493853584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271917812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99959797,0.00004832605,0.000035945934,0.000032133503,2.8466235e-7,0.0000021116246,0.00007680388,4.9819107e-7,0.000205989],"genre_scores_gemma":[0.99953747,0.00006542734,0.00006355409,0.0000072729354,7.3677285e-7,0.000002603427,0.000079825295,3.573036e-7,0.00024279272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970514,0.00012926414,0.000012326761,0.00005008834,0.00002952204,0.00007370096],"domain_scores_gemma":[0.99722844,0.0007092736,0.0014928504,0.000102171056,0.00014420855,0.0003230739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005812775,0.0001401681,0.00013632969,0.0007070175,0.00056561496,0.0006134222,0.00019539727,0.0002198257,0.0015842399],"category_scores_gemma":[0.002298883,0.00013630485,0.00007304655,0.0010763115,0.0003302289,0.00054264016,0.000414007,0.00021444503,0.00016337962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004255802,0.00006035369,0.9927004,0.000007735001,0.000019644567,0.00008898549,0.0008405993,0.00024868053,0.0003024008,0.00014907995,0.00010270895,0.005436906],"study_design_scores_gemma":[0.0000048815164,0.00004449266,0.99548715,0.000014245711,0.0000126013965,0.000066086,0.0028304935,0.00076573173,0.000116522046,0.00010329228,0.0005505615,0.0000039954975],"about_ca_topic_score_codex":0.12237438,"about_ca_topic_score_gemma":0.30438095,"teacher_disagreement_score":0.12237438,"about_ca_system_score_codex":0.0009036155,"about_ca_system_score_gemma":0.00045137343,"threshold_uncertainty_score":0.24332416},"labels":[],"label_agreement":null},{"id":"W2272316893","doi":"10.22004/ag.econ.198436","title":"Efecto sobre el comercio y bienestar de distintas estrategias tecnológicas para el arroz uruguayo.","year":2012,"lang":"es","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Risk Management Agency; Ontario Ministry of Food and Agriculture; Purdue University; Monash University; University of Cambridge; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria; Economic Research Service; Foreign Agricultural Service; U.S. Department of Agriculture","keywords":"Humanities; Geography; Political science; Agricultural science; Art; Biology","score_opus":0.038619215858715826,"score_gpt":0.25329756735277065,"score_spread":0.21467835149405481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272316893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986153,0.0026700748,0.0050466135,0.00037284763,0.000032742246,0.00012392363,0.00029022063,0.00007783275,0.005232643],"genre_scores_gemma":[0.98880845,0.0015219385,0.006781875,0.00006007586,0.0000060280368,0.00009179294,0.00025472397,0.00003080681,0.0024443523],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987348,0.00057573046,0.000060427683,0.00027324448,0.00017616604,0.00017956061],"domain_scores_gemma":[0.9987503,0.00024324277,0.0002907883,0.00011231681,0.00045957975,0.00014376818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027729901,0.00072091084,0.00085393706,0.00052100595,0.0008354839,0.0018714998,0.000752995,0.00052976067,0.001964095],"category_scores_gemma":[0.002110927,0.00031205305,0.00074680825,0.0009320794,0.0006209346,0.0010945606,0.0010446133,0.00066597137,0.00028338662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004570218,0.0010841206,0.27755922,0.0043169237,0.00079978374,0.001847235,0.012901665,0.04635765,0.4648983,0.011373872,0.0016862984,0.17260467],"study_design_scores_gemma":[0.00020424077,0.0076197833,0.8208451,0.0008439139,0.0013839824,0.0006441298,0.022098523,0.04357457,0.05197995,0.004153315,0.04645683,0.00019567365],"about_ca_topic_score_codex":0.14141993,"about_ca_topic_score_gemma":0.23139435,"teacher_disagreement_score":0.14141993,"about_ca_system_score_codex":0.004843164,"about_ca_system_score_gemma":0.0027589472,"threshold_uncertainty_score":0.28119355},"labels":[],"label_agreement":null},{"id":"W2273482832","doi":"10.22004/ag.econ.186604","title":"Analysis of the Sunflower Value Chain in Zambia’s Eastern Province.","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Status quo; Poverty; Welfare; Economic growth; Rural poverty; Agency (philosophy); Agriculture; Rural development; Value (mathematics); Quarter (Canadian coin); International development; Poverty reduction; Agricultural economics; Business; Rural sector; Value chain; Economics; Geography; Marketing; Sociology","score_opus":0.017186509672162318,"score_gpt":0.22416512744159614,"score_spread":0.20697861776943383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273482832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865507,0.0004729602,0.00075623457,0.00024962262,0.0000047062545,0.00003442413,0.0007599238,0.000008598853,0.0111628305],"genre_scores_gemma":[0.9955889,0.0002773128,0.00047497806,0.000012463833,9.175073e-7,0.0000071648965,0.0004402534,0.000003245412,0.0031947205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992776,0.000008066856,0.000002089092,0.0000069355456,0.000015567164,0.000039442795],"domain_scores_gemma":[0.99983525,0.00004134614,0.000030257303,0.0000081901635,0.00006723351,0.00001762743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016720893,0.00014000271,0.0001289037,0.0012303735,0.0005260073,0.0010263817,0.000245424,0.00024888417,0.0050399853],"category_scores_gemma":[0.0006605938,0.00011131174,0.0002399878,0.0015880996,0.0002957419,0.00043313162,0.00029848958,0.0002799087,0.00017056236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006505545,0.00030640032,0.55593777,0.0005838639,0.00020211538,0.0043808543,0.003230523,0.21724588,0.009076039,0.09886369,0.008951554,0.10057085],"study_design_scores_gemma":[0.000036551875,0.00009622938,0.7818927,0.0002024695,0.0001224961,0.00020874442,0.011985206,0.16270873,0.002361932,0.010760373,0.029596256,0.000028245824],"about_ca_topic_score_codex":0.45510036,"about_ca_topic_score_gemma":0.5026509,"teacher_disagreement_score":0.45510036,"about_ca_system_score_codex":0.004027203,"about_ca_system_score_gemma":0.0017212942,"threshold_uncertainty_score":0.90490276},"labels":[],"label_agreement":null},{"id":"W2273696741","doi":"10.22004/ag.econ.201653","title":"Reforming the Common Agricultural Policy: Decoupling Agricultural Payments from Production and Promoting the Environment","year":2015,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Victoria","keywords":"Payment; Agriculture; Direct Payments; Production (economics); Common Agricultural Policy; Natural resource economics; Decoupling (probability); Business; Agricultural economics; Baseline (sea); Economics; Agricultural science; Finance; Microeconomics; Environmental science; Geography; Engineering","score_opus":0.037052052784891355,"score_gpt":0.2238375248358499,"score_spread":0.18678547205095855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273696741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8355202,0.0012357569,0.092616215,0.01353249,0.0002946175,0.0003586096,0.00037055742,0.000149502,0.055921998],"genre_scores_gemma":[0.9866262,0.00031231,0.009199721,0.0006742082,0.00005171136,0.000058689147,0.000053002415,0.0000150697015,0.0030089447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956981,0.001805582,0.00011428673,0.0007618015,0.00070022995,0.00091997953],"domain_scores_gemma":[0.996051,0.001321655,0.0013522663,0.000586102,0.0003491266,0.00033982276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041384622,0.00060878287,0.0008484559,0.00053887756,0.0010742545,0.0030503627,0.0011756155,0.0025707458,0.003822909],"category_scores_gemma":[0.012004591,0.0003782057,0.0008225231,0.0011074577,0.0025597494,0.003828264,0.0022054308,0.0025049353,0.0003727743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005111837,0.00077247183,0.019491859,0.00049442064,0.00027478448,0.0007693113,0.0011124687,0.27879497,0.012504633,0.57861906,0.004242807,0.1024121],"study_design_scores_gemma":[0.00055668247,0.0017874857,0.10652174,0.0005987832,0.00049940735,0.00065658375,0.0031147348,0.2357981,0.012206322,0.5083783,0.12961866,0.00026313326],"about_ca_topic_score_codex":0.012376835,"about_ca_topic_score_gemma":0.0150075555,"teacher_disagreement_score":0.012376835,"about_ca_system_score_codex":0.005088641,"about_ca_system_score_gemma":0.00627936,"threshold_uncertainty_score":0.036920846},"labels":[],"label_agreement":null},{"id":"W2274020955","doi":"10.22004/ag.econ.198079","title":"Improving the Competitiveness of Beef Production in the Northern Contiguous United States and Canada","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grazing; Ice calving; Offspring; Pasture; Biology; Animal science; Herd; Cow-calf; Geography; Agronomy; Lactation; Pregnancy","score_opus":0.01758777284122128,"score_gpt":0.19002808496506626,"score_spread":0.17244031212384497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274020955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765139,0.0012465164,0.00025536335,0.0010096994,0.000024271441,0.00004384261,0.0013224388,0.00004318006,0.019540716],"genre_scores_gemma":[0.9913702,0.00081222435,0.0010890297,0.0001856413,0.000007049425,0.000012884794,0.00069636374,0.000010184802,0.0058163977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950814,0.00005436708,0.000014708252,0.00005576751,0.00017716878,0.00018983107],"domain_scores_gemma":[0.9990251,0.000041232503,0.00006816228,0.000017016357,0.00041900738,0.0004295022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004961456,0.00019781059,0.00014473715,0.0006951152,0.0026831487,0.0014935555,0.00063605054,0.00019127037,0.0025791703],"category_scores_gemma":[0.0009895463,0.000093771465,0.00011959811,0.0014510985,0.0005179556,0.0002758337,0.0005449184,0.00023541892,0.0001761551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002618208,0.00018358538,0.87074965,0.00012543061,0.000086235,0.00041772306,0.0018806207,0.0013729848,0.0045272955,0.0021597273,0.010575193,0.10765981],"study_design_scores_gemma":[0.000008406516,0.000052990243,0.9825502,0.000029546214,0.000017995559,0.00005465398,0.0032831898,0.0006912938,0.00024078411,0.00007175058,0.012989386,0.000009700324],"about_ca_topic_score_codex":0.991487,"about_ca_topic_score_gemma":0.9980586,"teacher_disagreement_score":0.025521109,"about_ca_system_score_codex":0.025521109,"about_ca_system_score_gemma":0.029655809,"threshold_uncertainty_score":0.18516946},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.3308207885326843,"score_gpt":0.37633931524325936,"score_spread":0.04551852671057505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281640194","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3367669,0.014757791,0.094600305,0.08435703,0.00034094657,0.0040395516,0.00020058437,0.00031353417,0.4646234],"genre_scores_gemma":[0.90785086,0.0040444536,0.074457884,0.0022266966,0.00006764406,0.0013210642,0.00007922199,0.00007129873,0.009880986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.85111034,0.13436402,0.002204478,0.0017528244,0.0066617364,0.003906497],"domain_scores_gemma":[0.86721534,0.10965372,0.003411502,0.004718089,0.011882111,0.0031191402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08706449,0.0007510712,0.0005706161,0.0026820137,0.0070982263,0.011912928,0.0026651514,0.0028565899,0.0015134787],"category_scores_gemma":[0.072810635,0.00057273294,0.0005372167,0.005477791,0.016124941,0.01062796,0.008561836,0.0033531107,0.0002722854],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023115538,0.00069427607,0.012519451,0.0012578109,0.0000725321,0.0035862771,0.10562489,0.019665493,0.0009240437,0.53210866,0.024768049,0.29854736],"study_design_scores_gemma":[0.00030728543,0.0014983726,0.016426299,0.004341076,0.00016180317,0.0016205475,0.32001632,0.02693604,0.0065886155,0.26128215,0.3605308,0.00029063973],"about_ca_topic_score_codex":0.035639435,"about_ca_topic_score_gemma":0.04698084,"teacher_disagreement_score":0.08706449,"about_ca_system_score_codex":0.025112309,"about_ca_system_score_gemma":0.029338248,"threshold_uncertainty_score":0.46044654},"labels":[],"label_agreement":null},{"id":"W2282291684","doi":"10.22004/ag.econ.208041","title":"AIRPORT OWNERSHIP AND ITS EFFECTS ON CAPACITY AND PRICE","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Allocative efficiency; Divestment; Incentive; Business; Market power; Microeconomics; Schedule; Industrial organization; Economics; Air transport; Finance; Monopoly; Transport engineering","score_opus":0.0664576257211178,"score_gpt":0.22037844526342737,"score_spread":0.15392081954230957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282291684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98104,0.00027385092,0.0016974328,0.0003079353,0.0000105805875,0.000006466902,0.00018312407,0.000019100755,0.016461618],"genre_scores_gemma":[0.99897647,0.00005569836,0.000067206325,0.000006913614,0.0000024546084,0.0000015480548,0.00002523946,0.0000034501759,0.0008609751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996327,0.0001305745,0.000012877437,0.000048079717,0.00004883309,0.00012684835],"domain_scores_gemma":[0.9922869,0.0049490766,0.0015646194,0.00030767955,0.00029824255,0.0005935595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047848924,0.00032268558,0.00023942626,0.0003439439,0.00033490316,0.0016260303,0.00042918167,0.00047868837,0.0152181],"category_scores_gemma":[0.0047624605,0.00026141354,0.00044210802,0.0005845493,0.0011903028,0.0015991642,0.0009495581,0.0008933248,0.00036999502],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019726742,0.001291559,0.3942242,0.00030031477,0.0006267986,0.0038849467,0.0010741806,0.4255523,0.019104205,0.11119598,0.0034290056,0.03734389],"study_design_scores_gemma":[0.00017256463,0.0013042868,0.64285487,0.0001270015,0.0006576494,0.0008188538,0.0049683712,0.26273462,0.009709359,0.06849996,0.007970565,0.00018194903],"about_ca_topic_score_codex":0.014967818,"about_ca_topic_score_gemma":0.012056806,"teacher_disagreement_score":0.0152181,"about_ca_system_score_codex":0.0014900366,"about_ca_system_score_gemma":0.0005371389,"threshold_uncertainty_score":0.05090964},"labels":[],"label_agreement":null},{"id":"W2286377341","doi":"10.22004/ag.econ.202601","title":"Food Security in Urban Households: An Analysis of the Prevalence and Depth of Hunger in Nairobi and its Relationship to Food Expenditure","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Social Issues and Policies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"College of Engineering, Michigan State University; Egerton University; International Development Research Centre; Michigan State University; United States Agency for International Development","keywords":"Food security; Agricultural economics; Geography; Food insecurity; Socioeconomics; Environmental health; Business; Economics; Economic growth; Medicine; Agriculture","score_opus":0.08698456309867715,"score_gpt":0.3061492767540246,"score_spread":0.21916471365534745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286377341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992126,0.0000699947,0.00003988832,0.000059145226,8.8466817e-7,0.000011256985,0.00036107894,8.4003807e-7,0.00024430038],"genre_scores_gemma":[0.999424,0.000082860824,0.00006236557,0.000017527998,0.000001332943,0.0000131185925,0.00025321462,7.8002313e-7,0.00014483096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995683,0.00013850101,0.000039302773,0.000049996972,0.00004353965,0.00016045559],"domain_scores_gemma":[0.99942964,0.000086173946,0.00024532876,0.00003607714,0.00007645978,0.00012623229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006006503,0.0002820303,0.0003675489,0.0010134354,0.001101139,0.00071903365,0.00073760323,0.0006913432,0.0011970367],"category_scores_gemma":[0.0013428337,0.0005521328,0.0006691253,0.0034242854,0.0007518947,0.00066067505,0.0011619997,0.00052315276,0.00018691403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003181547,0.000032542543,0.9981932,0.000011985154,0.00004303332,0.000055880086,0.00069594645,0.00006799636,0.00016597622,0.00005884118,0.000055934255,0.0005867674],"study_design_scores_gemma":[0.0000013189407,0.000017291453,0.9979855,0.0000050769772,0.000013003818,0.000030500263,0.0016033907,0.00023939303,0.000022071687,0.000014617475,0.00006493147,0.0000029239998],"about_ca_topic_score_codex":0.30764684,"about_ca_topic_score_gemma":0.52370906,"teacher_disagreement_score":0.30764684,"about_ca_system_score_codex":0.0019401421,"about_ca_system_score_gemma":0.0016059667,"threshold_uncertainty_score":0.6117123},"labels":[],"label_agreement":null},{"id":"W2289457602","doi":"10.22004/ag.econ.231133","title":"The Competitive Position of Ontario’s White Table Wines","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wine; Winemaking; White Wine; Market share; Competitor analysis; Business; Agricultural economics; Winery; Economics; Geography; Economy; Commerce; Marketing; Food science","score_opus":0.0228058043502483,"score_gpt":0.20953770172179303,"score_spread":0.18673189737154472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289457602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91393536,0.0006442776,0.00014407029,0.0011466081,0.000031069616,0.000044056735,0.013040304,0.000021234324,0.07099294],"genre_scores_gemma":[0.9468092,0.000722377,0.00017483575,0.0001415732,0.000016758024,0.000014246635,0.007747372,0.000024983985,0.044348735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903286,0.000029697301,0.000019162157,0.00009374828,0.0005426293,0.00028190017],"domain_scores_gemma":[0.9976089,0.00017808024,0.00036769742,0.000059639002,0.0011371757,0.00064851256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038382085,0.00021977583,0.0002850993,0.002042691,0.002517113,0.003327274,0.0005402245,0.0003050242,0.009361173],"category_scores_gemma":[0.0016199896,0.00023202488,0.00035881923,0.005104023,0.0007334764,0.0007445726,0.00081904733,0.0003468587,0.00091074134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008616247,0.00017320288,0.8685244,0.00027916377,0.00017173785,0.0011054937,0.011779548,0.00096108223,0.0025154974,0.007950857,0.058575273,0.047102083],"study_design_scores_gemma":[0.00000973844,0.00004367068,0.9383709,0.000050902032,0.000020770543,0.00006655307,0.008809018,0.0005608587,0.00029469095,0.00014852457,0.051589016,0.000035355377],"about_ca_topic_score_codex":0.9872362,"about_ca_topic_score_gemma":0.996287,"teacher_disagreement_score":0.029959623,"about_ca_system_score_codex":0.029959623,"about_ca_system_score_gemma":0.020332491,"threshold_uncertainty_score":0.21737325},"labels":[],"label_agreement":null},{"id":"W2290382144","doi":"10.22004/ag.econ.166743","title":"Tracking U.S. Grain, Oilseed and Related Product Exports in Mexico (Summary)","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mexico city; Geography; Train; Truck; Agricultural economics; Free trade agreement; Economy; Business; Engineering; Archaeology; International trade; Economics; Humanities; Free trade","score_opus":0.021302564393116705,"score_gpt":0.21111632485572498,"score_spread":0.18981376046260828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290382144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79403293,0.0018134236,0.0006106648,0.0010997639,0.00005261431,0.00009439297,0.178924,0.00028846695,0.02308373],"genre_scores_gemma":[0.80827206,0.0053616883,0.003520074,0.0003647264,0.00007888333,0.00019328804,0.15669198,0.00006024707,0.025456952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999261,0.000004201382,0.0000071199406,0.000023768811,0.000024233632,0.000014594048],"domain_scores_gemma":[0.999559,0.00002806942,0.00012999855,0.000013007141,0.00023677375,0.000033107943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019582924,0.00018560956,0.000080427664,0.002108313,0.00043033678,0.00072717847,0.00023740405,0.00020798203,0.0035707396],"category_scores_gemma":[0.0005742961,0.00010777297,0.00013750246,0.0031832869,0.00006625136,0.00042864465,0.000426544,0.0001873494,0.000563414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008351919,0.000051523526,0.88744277,0.0002532251,0.00007114634,0.00010691725,0.00046050566,0.0005995682,0.0010938182,0.0003490065,0.04842339,0.061064646],"study_design_scores_gemma":[0.0000037678603,0.00002255806,0.97827166,0.000043666303,0.000030920255,0.000027518568,0.00056658546,0.00027658817,0.00028657267,0.000020161126,0.020445362,0.0000047335243],"about_ca_topic_score_codex":0.24411705,"about_ca_topic_score_gemma":0.3104215,"teacher_disagreement_score":0.24411705,"about_ca_system_score_codex":0.0009328982,"about_ca_system_score_gemma":0.0007126358,"threshold_uncertainty_score":0.48539227},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.028954593690031845,"score_gpt":0.20094864650099634,"score_spread":0.1719940528109645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W229166190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9475948,0.0014924613,0.00034230907,0.0030953817,0.000090756,0.000080202415,0.0010170804,0.000064406166,0.04622266],"genre_scores_gemma":[0.95819116,0.002351384,0.0007636837,0.0009995993,0.00007178257,0.000049418788,0.0023654795,0.000020083357,0.035187397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988103,0.0000844442,0.00005341159,0.00014870707,0.0005445328,0.00035866493],"domain_scores_gemma":[0.9955449,0.00020766137,0.0011434508,0.00013909121,0.0023319155,0.00063295546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010693137,0.00018025009,0.0001267461,0.0018680673,0.0023981063,0.0033843287,0.0006580374,0.00056091417,0.0059647146],"category_scores_gemma":[0.0026487466,0.00027204928,0.00018965971,0.00390836,0.0013271575,0.0017463397,0.0018456278,0.0009283021,0.001042027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046395638,0.000655105,0.6920355,0.00028835356,0.000039455997,0.0012459435,0.016652534,0.0007543398,0.003016925,0.009512964,0.05396366,0.22137125],"study_design_scores_gemma":[0.0000062354247,0.00008671288,0.87163264,0.000085480126,0.0000135406135,0.00021803148,0.020503232,0.00045929986,0.0013478695,0.00026770445,0.105366156,0.000013213355],"about_ca_topic_score_codex":0.35249013,"about_ca_topic_score_gemma":0.59739196,"teacher_disagreement_score":0.6475099,"about_ca_system_score_codex":0.01149244,"about_ca_system_score_gemma":0.010254557,"threshold_uncertainty_score":0.70087683},"labels":[],"label_agreement":null},{"id":"W2295375433","doi":"10.22004/ag.econ.228959","title":"United States and Canadian Agricultural Herbicide Costs: 2003 Update","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Arbitrage; Agriculture; Economics; Agricultural economics; Market price; Business; International economics; Market economy; Microeconomics; Finance; Geography","score_opus":0.018208820033718924,"score_gpt":0.20650773076188028,"score_spread":0.18829891072816135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295375433","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00592049,0.07676218,0.0007735963,0.01001597,0.0024970244,0.0003643383,0.7869934,0.00064621196,0.116026804],"genre_scores_gemma":[0.05384232,0.17064878,0.0051934696,0.0047782427,0.0011333236,0.00059385283,0.5886213,0.0003305667,0.17485805],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99783725,0.000046386565,0.00015416396,0.000104358034,0.001727738,0.00013013466],"domain_scores_gemma":[0.9886313,0.0002020099,0.00038338837,0.000091336864,0.010421383,0.0002705866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011819723,0.0018374843,0.0010099419,0.012996076,0.0012924611,0.0023665044,0.0027692914,0.0011779543,0.02425617],"category_scores_gemma":[0.004126433,0.00068152597,0.0010510975,0.026696518,0.00041747274,0.0014866429,0.0005869203,0.0013984632,0.007516886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048481186,0.000029461518,0.005235499,0.00058384123,0.000040864787,0.00004540932,0.00003790272,0.00036658166,0.00004735121,0.0006183432,0.9500652,0.042881098],"study_design_scores_gemma":[0.00003119137,0.000010961133,0.08001021,0.0006518416,0.000108880224,0.00013838997,0.00016541785,0.00035420162,0.00021824622,0.0002754251,0.9179914,0.000043745717],"about_ca_topic_score_codex":0.97973526,"about_ca_topic_score_gemma":0.98367465,"teacher_disagreement_score":0.03895841,"about_ca_system_score_codex":0.03895841,"about_ca_system_score_gemma":0.037945222,"threshold_uncertainty_score":0.28266442},"labels":[],"label_agreement":null},{"id":"W2296231649","doi":"10.22004/ag.econ.274679","title":"The Signaling Effect and Optimal LOLR Policy","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Bank rate; Official cash rate; Monetary reform; Financial system; Chinese financial system; Monetary economics; Lender of last resort; Forward guidance; Central bank; Monetary policy; Open market operation; Bank run; Reserve requirement; Economics; Business; Asset quality; Interest rate; Asset (computer security); Monetary base; Inflation targeting; Market liquidity; Capital adequacy ratio; Incentive; Microeconomics; Credit channel","score_opus":0.024254730905187184,"score_gpt":0.23649342378310712,"score_spread":0.21223869287791994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296231649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69476175,0.0009901901,0.24077347,0.013611844,0.00015357089,0.00019766376,0.00043030936,0.0006198204,0.048461493],"genre_scores_gemma":[0.9930239,0.00020178474,0.0039899275,0.0003515351,0.00003916068,0.00003835208,0.000027659948,0.0000125975785,0.002314983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99772865,0.0010186239,0.000097322656,0.0003659779,0.00019027722,0.0005991314],"domain_scores_gemma":[0.9913155,0.0050088754,0.0023759028,0.00039754788,0.00041840924,0.00048371052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003667409,0.00055583345,0.0012209563,0.00046890182,0.00058394624,0.0023458079,0.000992992,0.0026706199,0.0046946607],"category_scores_gemma":[0.016558215,0.0006425419,0.0004931765,0.00039710273,0.0024163716,0.003361607,0.001380431,0.0018423867,0.0004697008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083153875,0.00036900118,0.006664385,0.00028406258,0.00013999856,0.0005540616,0.00043431245,0.30494592,0.010166155,0.64609766,0.0054029003,0.024109932],"study_design_scores_gemma":[0.00036621388,0.00022043259,0.0037632962,0.000091622824,0.000075666256,0.00012232341,0.00037875873,0.6031905,0.0022067449,0.38742012,0.002070444,0.000093866016],"about_ca_topic_score_codex":0.004317331,"about_ca_topic_score_gemma":0.0020491525,"teacher_disagreement_score":0.0046946607,"about_ca_system_score_codex":0.002838211,"about_ca_system_score_gemma":0.0022690704,"threshold_uncertainty_score":0.02059275},"labels":[],"label_agreement":null},{"id":"W2341134098","doi":"10.22004/ag.econ.231854","title":"Crops Rotation – the Solution of Environmental Problems (a Case Study of Prince Edward Island in Canada)","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crop rotation; Agriculture; Production (economics); Government (linguistics); Natural resource economics; Agricultural economics; Crop production; Business; Agricultural science; Environmental protection; Environmental science; Geography; Economics","score_opus":0.030701337998252715,"score_gpt":0.19813999861196932,"score_spread":0.1674386606137166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341134098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800955,0.00030983204,0.0004857484,0.0010270468,0.000010770684,0.00010055332,0.00022436446,0.000014393277,0.017731773],"genre_scores_gemma":[0.9854489,0.0005425667,0.001137981,0.00015487264,0.000004866988,0.000023782177,0.00018489062,0.000010220689,0.012492008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953485,0.0000951308,0.000010593795,0.00003581979,0.000070591865,0.00025310268],"domain_scores_gemma":[0.9995376,0.000095919626,0.000037492016,0.00002174454,0.00012003786,0.00018725194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037392662,0.00026241565,0.00017766126,0.0004822253,0.0061352216,0.0015862853,0.0012135908,0.0012284981,0.003583177],"category_scores_gemma":[0.0009528879,0.00017491454,0.00030320315,0.0015126833,0.0011779678,0.0005241165,0.0009785831,0.00087257416,0.00021787218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087532494,0.002787742,0.38861048,0.0010887504,0.00037107465,0.10449526,0.07189359,0.08218544,0.010111719,0.07127506,0.038257536,0.22804807],"study_design_scores_gemma":[0.0001605837,0.0005958765,0.3740097,0.00025512592,0.00012131427,0.0047660326,0.4235147,0.036058135,0.0026140022,0.004013132,0.15373327,0.00015812053],"about_ca_topic_score_codex":0.97163606,"about_ca_topic_score_gemma":0.9905635,"teacher_disagreement_score":0.028363943,"about_ca_system_score_codex":0.021249713,"about_ca_system_score_gemma":0.023423783,"threshold_uncertainty_score":0.15417814},"labels":[],"label_agreement":null},{"id":"W2405781561","doi":"10.22004/ag.econ.189138","title":"Farm Classification Systems for North American Agriculture","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Sustainability; Free trade agreement; Business; Agricultural economics; Geography; Regional science; International trade; Economics; Free trade","score_opus":0.05096881397362957,"score_gpt":0.22816243128429964,"score_spread":0.17719361731067007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405781561","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086071596,0.0038805585,0.3601737,0.003825394,0.0024839917,0.0028648365,0.067263804,0.0066967946,0.46673945],"genre_scores_gemma":[0.25252637,0.002871716,0.5901937,0.0011147159,0.00047047783,0.0058518643,0.083386354,0.001085097,0.06249969],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969694,0.0010896735,0.00043392688,0.00046977133,0.00081750104,0.00021969402],"domain_scores_gemma":[0.9919491,0.0014053594,0.00093798,0.0014739182,0.004052846,0.00018078268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033055046,0.00050749193,0.0004849309,0.0070259594,0.0020659675,0.0038394984,0.0010887049,0.00062555115,0.021925174],"category_scores_gemma":[0.009878316,0.00025767455,0.00056182855,0.015453785,0.0010268057,0.002126443,0.0017128877,0.0016148946,0.005786059],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002016204,0.00016837133,0.028318128,0.0005856618,0.00006955247,0.00017813923,0.0041756746,0.007280179,0.0013933836,0.2479999,0.25530943,0.4543199],"study_design_scores_gemma":[0.000025726174,0.00004488081,0.039702937,0.0002467941,0.000029282142,0.0002096019,0.0024419562,0.008635148,0.00046254438,0.048936594,0.89921564,0.000048892387],"about_ca_topic_score_codex":0.04919062,"about_ca_topic_score_gemma":0.04942752,"teacher_disagreement_score":0.04919062,"about_ca_system_score_codex":0.003661123,"about_ca_system_score_gemma":0.0044518146,"threshold_uncertainty_score":0.0978086},"labels":[],"label_agreement":null},{"id":"W2466832178","doi":"10.22004/ag.econ.234923","title":"Does Using a Personalized Pre-Survey Letter Improve the Response Rate for the June Agricultural Survey in Louisiana?","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Agricultural Statistics Service; U.S. Department of Agriculture","keywords":"Agriculture; Quarter (Canadian coin); Field survey; Survey data collection; Agricultural economics; Livestock; Geography; Service (business); Business; Socioeconomics; Economics; Marketing; Statistics; Forestry; Cartography","score_opus":0.22462650796270778,"score_gpt":0.3974286315325113,"score_spread":0.1728021235698035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466832178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540293,0.0006085304,0.004944331,0.024066702,0.0003630919,0.0017097379,0.0013850022,0.00020587878,0.012687308],"genre_scores_gemma":[0.98019195,0.00045435003,0.008715301,0.005776823,0.00024002393,0.0018639226,0.00059438683,0.00004696929,0.0021163411],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.8779617,0.10473551,0.004308594,0.0033148762,0.0063792737,0.0032999788],"domain_scores_gemma":[0.7653455,0.1548618,0.03664155,0.018488029,0.020322978,0.0043401117],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09151589,0.00036834308,0.00066766725,0.0012608046,0.00095998927,0.0020797688,0.0018884975,0.0019284914,0.0059463494],"category_scores_gemma":[0.2711085,0.0003670662,0.0008189865,0.0024428812,0.0008365111,0.0025756094,0.0013908765,0.001351431,0.0024657722],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012645214,0.0015777143,0.76969475,0.0006549327,0.00015204633,0.0001325207,0.005187859,0.000579069,0.00074747205,0.0007339971,0.0148429815,0.2044322],"study_design_scores_gemma":[0.00029462742,0.0038483893,0.9655448,0.0005351044,0.00015461147,0.00027989334,0.0068922713,0.0045148423,0.0018012696,0.0005606873,0.015506287,0.00006719004],"about_ca_topic_score_codex":0.011996059,"about_ca_topic_score_gemma":0.017519362,"teacher_disagreement_score":0.9084841,"about_ca_system_score_codex":0.0031324897,"about_ca_system_score_gemma":0.0046697566,"threshold_uncertainty_score":0.4839881},"labels":[],"label_agreement":null},{"id":"W2473996965","doi":"10.22004/ag.econ.212689","title":"A Demand System for Major Dairy Products in Ontario","year":2015,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Consumption (sociology); Agricultural economics; Derived demand; Panel data; Final demand; Income elasticity of demand; Homogeneity (statistics); Econometrics; Demand curve; Microeconomics; Production (economics); Mathematics; Statistics","score_opus":0.06207416109246927,"score_gpt":0.20549987634605074,"score_spread":0.14342571525358147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473996965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98875636,0.00009547676,0.0010490586,0.00023430646,0.0000023243203,0.000048962756,0.0063814614,0.00002051242,0.003411427],"genre_scores_gemma":[0.98895276,0.00014405954,0.0014963595,0.000028158734,0.00000192337,0.000031590196,0.005484815,0.0000065180857,0.003853831],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995347,0.000064309446,0.00002670887,0.00008236607,0.00012936443,0.00016252369],"domain_scores_gemma":[0.99896514,0.00020174065,0.00018090333,0.00006308076,0.00048361896,0.000105482344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053365546,0.00025147985,0.00033437356,0.0008654382,0.001257125,0.0008737235,0.0007256655,0.000368542,0.0032115409],"category_scores_gemma":[0.001706698,0.00035101487,0.0006848785,0.002338025,0.00048449636,0.0004614763,0.000621344,0.00031987287,0.00032849374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003548712,0.00013847399,0.91765034,0.0001840577,0.00018539235,0.0005644641,0.003246532,0.041035004,0.0027406977,0.008160263,0.006014889,0.019724902],"study_design_scores_gemma":[0.000051404175,0.00006688109,0.91985387,0.000035618483,0.00006808128,0.00009205916,0.00437152,0.06117081,0.0006166857,0.0013671877,0.012242846,0.00006297469],"about_ca_topic_score_codex":0.9870695,"about_ca_topic_score_gemma":0.98901796,"teacher_disagreement_score":0.027864333,"about_ca_system_score_codex":0.027864333,"about_ca_system_score_gemma":0.012743731,"threshold_uncertainty_score":0.20217085},"labels":[],"label_agreement":null},{"id":"W2478307420","doi":"10.22004/ag.econ.274685","title":"Default, Mortgage Standards and Housing Liquidity","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Loan-to-value ratio; Market liquidity; Monetary economics; Origination; Economics; Value (mathematics); House price; Loan; Business; Financial economics; Mortgage insurance; Finance","score_opus":0.04715542970135987,"score_gpt":0.23608170493878786,"score_spread":0.188926275237428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478307420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98890764,0.00083354086,0.006126693,0.00083646656,0.000008179537,0.000010396401,0.00022849304,0.00003278183,0.0030159384],"genre_scores_gemma":[0.9986914,0.00018046782,0.00019686364,0.000017626837,0.0000071334957,0.0000033264282,0.00005246411,0.0000023186076,0.000848503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998073,0.00006771823,0.0000122074125,0.00004111469,0.000021181657,0.00005046267],"domain_scores_gemma":[0.9959407,0.0021637133,0.0013476044,0.00011496114,0.00011368293,0.0003192278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097234896,0.00024533158,0.00045716338,0.00038201778,0.0002902419,0.0018276611,0.00054152415,0.0012348284,0.0036591338],"category_scores_gemma":[0.0075274557,0.00026884786,0.00035786116,0.00047308952,0.0008915229,0.0020930774,0.00051717064,0.00089954154,0.0003118392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014092032,0.0009406325,0.40802327,0.00024847337,0.0003252815,0.0016302649,0.0011078181,0.34278712,0.0056704385,0.1970785,0.0046095653,0.03616945],"study_design_scores_gemma":[0.00021321606,0.00041831424,0.17505787,0.00005522148,0.000113269314,0.00051244796,0.00084739295,0.6257821,0.0009790566,0.1942719,0.0016795424,0.00006965832],"about_ca_topic_score_codex":0.0057032187,"about_ca_topic_score_gemma":0.006050486,"teacher_disagreement_score":0.0057032187,"about_ca_system_score_codex":0.0011066808,"about_ca_system_score_gemma":0.00039749796,"threshold_uncertainty_score":0.012241006},"labels":[],"label_agreement":null},{"id":"W2490479559","doi":"10.22004/ag.econ.188113","title":"The Incompatibility of Science and Trade at the International Level","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Premise; International trade; Transformative learning; Politics; Political science; Business; Law; Sociology","score_opus":0.05840481042578905,"score_gpt":0.24162877840205674,"score_spread":0.1832239679762677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490479559","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061726768,0.030082041,0.028226672,0.117093496,0.0010508173,0.00003407721,0.00017645748,0.000074599535,0.761535],"genre_scores_gemma":[0.9252719,0.02417458,0.0072564767,0.007869007,0.0017479071,0.00010072266,0.000111467074,0.000066396264,0.033401366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949449,0.0019258742,0.0002030568,0.00080312433,0.0016429117,0.00048011885],"domain_scores_gemma":[0.99486214,0.003000628,0.00061756157,0.0007702293,0.0005057103,0.0002437564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041417317,0.0002552037,0.0005664283,0.002108291,0.0028243742,0.0135282995,0.0004912379,0.0033376096,0.009205264],"category_scores_gemma":[0.0061535016,0.0003251837,0.00046186466,0.0033628487,0.014715894,0.011209773,0.004230031,0.003969311,0.0010245148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068014133,0.0000071132745,0.00029815023,0.00003129265,0.000007974737,0.000047520454,0.00032685368,0.00019935836,0.00012626858,0.98864496,0.001343841,0.008960002],"study_design_scores_gemma":[0.0000050638464,0.000013091873,0.0013914235,0.00010546412,0.00000745068,0.000101404694,0.00087443955,0.00026229056,0.00014824579,0.9421819,0.054901972,0.0000071690492],"about_ca_topic_score_codex":0.0017953799,"about_ca_topic_score_gemma":0.0015407541,"teacher_disagreement_score":0.0135282995,"about_ca_system_score_codex":0.005442157,"about_ca_system_score_gemma":0.0030005549,"threshold_uncertainty_score":0.039485812},"labels":[],"label_agreement":null},{"id":"W2497236912","doi":"10.22004/ag.econ.211840","title":"Protectionism is \"Alive and Well\"- Agriculture in the EU-Canada Trade Agreement","year":2015,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural safety and regulations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Protectionism; International trade; European union; Free trade; International economics; Liberalization; Business; Trade barrier; Market access; Commercial policy; Agriculture; Economics; Geography; Market economy","score_opus":0.030514656015059722,"score_gpt":0.20033545103634798,"score_spread":0.16982079502128825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2497236912","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029534828,0.0037316016,0.003681928,0.07992259,0.0011338595,0.0000987606,0.001086735,0.00016911804,0.88064057],"genre_scores_gemma":[0.5122781,0.0036401271,0.0048879343,0.026125567,0.00015151438,0.00007781395,0.0010965684,0.00016694628,0.45157546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9918297,0.0006666228,0.00016227878,0.0008194663,0.004081204,0.0024405916],"domain_scores_gemma":[0.99452126,0.00078521564,0.00015407117,0.00046255282,0.002742735,0.0013341717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036850523,0.00038026736,0.0004079076,0.0013877756,0.014913143,0.01761385,0.0012116572,0.0043320674,0.013873594],"category_scores_gemma":[0.008716232,0.00034981256,0.0005443774,0.0024193989,0.0077227275,0.0032822124,0.004064349,0.0049477345,0.0014807717],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055432287,0.000024042698,0.001838096,0.00005780252,0.000017287803,0.00034204056,0.0034144854,0.00046344244,0.0006891138,0.89389133,0.07785256,0.02135423],"study_design_scores_gemma":[0.000011741256,0.0000075630765,0.0048106313,0.00012413845,0.000010799586,0.0000704818,0.001906113,0.00031475467,0.0004749922,0.031713482,0.9605082,0.000047151803],"about_ca_topic_score_codex":0.9621722,"about_ca_topic_score_gemma":0.96709746,"teacher_disagreement_score":0.07952521,"about_ca_system_score_codex":0.07952521,"about_ca_system_score_gemma":0.17951083,"threshold_uncertainty_score":0.5769985},"labels":[],"label_agreement":null},{"id":"W2501122002","doi":"10.22004/ag.econ.235735","title":"Estimating Import Demand Functions in Major Beef Importing Countries by Bayesian Hierarchical Linear Model","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; University of Missouri; U.S. Department of Agriculture","keywords":"Economics; Estimation; Bayesian probability; Econometrics; Bayes estimator; Bayesian hierarchical modeling; International trade; Bayesian inference; International economics; Statistics","score_opus":0.021911112495518855,"score_gpt":0.21869098194688155,"score_spread":0.1967798694513627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501122002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6723611,0.0005369229,0.31696066,0.001134614,0.000026825694,0.00013778305,0.0036649813,0.0004415938,0.0047355434],"genre_scores_gemma":[0.93739957,0.0003516319,0.052935548,0.00014774587,0.000025530035,0.0001298912,0.005006004,0.00009649997,0.0039075296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987012,0.0007588966,0.00005809748,0.00020858394,0.00010067902,0.00017242023],"domain_scores_gemma":[0.9945339,0.0040571364,0.0006696124,0.00027051533,0.00032898755,0.00013986812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037359186,0.00076772575,0.0012738281,0.0020170854,0.00050478586,0.0013663078,0.0012899203,0.0014901912,0.0045789317],"category_scores_gemma":[0.010474363,0.0014661988,0.0015721815,0.002594516,0.00062885054,0.0016248024,0.0012709934,0.0015126523,0.001080005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000238861,0.00018500784,0.03827241,0.00010096867,0.00026817733,0.00013682836,0.00023089684,0.9020701,0.0007258057,0.02935894,0.0028524292,0.025559556],"study_design_scores_gemma":[0.000027023285,0.00002741776,0.006037574,0.000013839866,0.00002539576,0.00001285579,0.00007871777,0.9797577,0.00011192992,0.013423107,0.00046483034,0.000019684114],"about_ca_topic_score_codex":0.082989305,"about_ca_topic_score_gemma":0.06696272,"teacher_disagreement_score":0.082989305,"about_ca_system_score_codex":0.0019163515,"about_ca_system_score_gemma":0.0012846708,"threshold_uncertainty_score":0.16501248},"labels":[],"label_agreement":null},{"id":"W2505019320","doi":"10.22004/ag.econ.188117","title":"IS THE SUBSIDY FOR BIOFUELS THE WAY TO GO?","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Greenhouse gas; Biofuel; Energy security; Economics; Natural resource economics; Value (mathematics); Fossil fuel; Agricultural economics; International trade; Business; International economics; Public economics; Renewable energy; Market economy","score_opus":0.16597338917058035,"score_gpt":0.27856947233311413,"score_spread":0.11259608316253378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505019320","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41077992,0.015219511,0.029329326,0.32010356,0.0008587141,0.00007560479,0.0005951549,0.00013593737,0.2229023],"genre_scores_gemma":[0.98365676,0.0032355092,0.0010084186,0.004460559,0.00022895055,0.00001226435,0.000033833003,0.000014955656,0.00734888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994691,0.00009014065,0.000009156736,0.00007183282,0.00017554061,0.00018423062],"domain_scores_gemma":[0.99893254,0.00055579474,0.00019851614,0.00004655956,0.00016600113,0.00010063216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006601542,0.00016960099,0.0005956219,0.00040463498,0.0014440406,0.0022576356,0.0005995078,0.003838669,0.008066008],"category_scores_gemma":[0.0040298244,0.00014419138,0.00043783456,0.0004923689,0.0028596746,0.0038643861,0.00056059373,0.002211881,0.0003867305],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060461225,0.00009447445,0.005234777,0.00014068278,0.000027879334,0.00029438318,0.0001453236,0.0041285,0.0006562976,0.94496644,0.012691221,0.031559493],"study_design_scores_gemma":[0.00009076793,0.000055927492,0.008346621,0.00029830326,0.00007351922,0.0002587176,0.0010901385,0.010800944,0.0011604326,0.8865204,0.09127248,0.000031810774],"about_ca_topic_score_codex":0.049369402,"about_ca_topic_score_gemma":0.034554515,"teacher_disagreement_score":0.049369402,"about_ca_system_score_codex":0.00407392,"about_ca_system_score_gemma":0.005355579,"threshold_uncertainty_score":0.09816408},"labels":[],"label_agreement":null},{"id":"W2510675139","doi":"10.22004/ag.econ.235887","title":"Policy Impacts from U.S. Organic Equivalency with the European Union","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"European union; Quarter (Canadian coin); Organic farming; Agricultural economics; International trade; Agriculture; International economics; Economics; Business; Agricultural science; Environmental science; Geography","score_opus":0.02004988376694961,"score_gpt":0.20344947501968938,"score_spread":0.18339959125273977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510675139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97657067,0.00073959935,0.0011995531,0.0017710326,0.00013906178,0.000026948766,0.0010392749,0.00006387986,0.018450007],"genre_scores_gemma":[0.9943585,0.00027864365,0.00047362686,0.00059835747,0.0000618111,0.000034481563,0.001272466,0.000013934999,0.0029082708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962919,0.001369305,0.00018605831,0.0007995605,0.0007786945,0.00057455944],"domain_scores_gemma":[0.994785,0.0014791925,0.0026966643,0.00034868036,0.00034418225,0.00034635613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003386494,0.00039446296,0.00064128893,0.0011300801,0.00092783215,0.0033274451,0.0006150315,0.0013408056,0.0038657205],"category_scores_gemma":[0.009828686,0.0001952831,0.00059614127,0.0025084084,0.001080849,0.00083116494,0.0015245308,0.0009563755,0.00031726158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044654952,0.003437908,0.7196345,0.0003423303,0.0011752303,0.0012464375,0.0008730147,0.07298337,0.005785188,0.08566894,0.021537507,0.08285007],"study_design_scores_gemma":[0.0005047655,0.0015351872,0.8887018,0.0001684079,0.0004231302,0.00030219412,0.0034785697,0.026593287,0.006941234,0.008664719,0.062564716,0.000122036574],"about_ca_topic_score_codex":0.033412192,"about_ca_topic_score_gemma":0.026543736,"teacher_disagreement_score":0.033412192,"about_ca_system_score_codex":0.0029638854,"about_ca_system_score_gemma":0.0018436919,"threshold_uncertainty_score":0.0664354},"labels":[],"label_agreement":null},{"id":"W2511298231","doi":"10.22004/ag.econ.236020","title":"A COOL Repeal: Potential Outcomes of U.S. Mandatory Country of Origin Labeling Requirements on Dairy and Beef Sectors","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Repeal; International trade; Agriculture; Business; World trade; Agricultural economics; Dumping; International economics; Economics; Political science; Geography; Law","score_opus":0.0779319439578159,"score_gpt":0.24712363672869866,"score_spread":0.16919169277088275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511298231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96192384,0.00029814456,0.00315433,0.0030883544,0.0001082907,0.00010671759,0.0031780105,0.00013208526,0.028010279],"genre_scores_gemma":[0.9951525,0.00008237067,0.00066408335,0.00062479294,0.000013133975,0.000037010355,0.0008510885,0.000020060828,0.0025550094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796057,0.0010753372,0.000043331544,0.00019587138,0.00024724362,0.00047772055],"domain_scores_gemma":[0.99364,0.0035713906,0.0014795007,0.00040127215,0.0006122452,0.00029564908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037728103,0.00053922285,0.0005702056,0.00075611327,0.0011385342,0.0021772317,0.0011155917,0.002050477,0.0063068355],"category_scores_gemma":[0.01311758,0.00039957612,0.000880701,0.0011624336,0.0012463785,0.001238313,0.0015367131,0.002257104,0.00050522655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054565463,0.0014413581,0.23125641,0.0002886109,0.00051462656,0.0033099381,0.0007832934,0.56575984,0.006322893,0.104700185,0.04952658,0.030639714],"study_design_scores_gemma":[0.0021521614,0.003125813,0.20714414,0.00025471667,0.0005165808,0.0008221131,0.005278529,0.64075756,0.01459636,0.07213573,0.052824195,0.00039207228],"about_ca_topic_score_codex":0.041550077,"about_ca_topic_score_gemma":0.04751781,"teacher_disagreement_score":0.041550077,"about_ca_system_score_codex":0.0026668138,"about_ca_system_score_gemma":0.0011428571,"threshold_uncertainty_score":0.08261645},"labels":[],"label_agreement":null},{"id":"W2511853788","doi":"10.22004/ag.econ.235850","title":"Spatiotemporal management under heterogeneous damage and uncertain parameters. An agent-based approach.","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Odocoileus; Introduced species; Invasive species; Branta; Geography; Wildlife; Ecology; Ecosystem; Agriculture; Biology; Goose","score_opus":0.045012192701063145,"score_gpt":0.24376555909835665,"score_spread":0.19875336639729352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511853788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029828034,0.0023218372,0.95017743,0.0024862497,0.00023850553,0.000358874,0.0007181126,0.00044656714,0.013424328],"genre_scores_gemma":[0.8156256,0.0018698353,0.1694782,0.0008031014,0.0003905113,0.00068613776,0.0006862595,0.00014534272,0.010315163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798524,0.000885431,0.00012717473,0.0005923293,0.00022558721,0.00018421077],"domain_scores_gemma":[0.99303955,0.004373636,0.001469587,0.00031527618,0.00048334256,0.0003186168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044695577,0.0020801756,0.0021867058,0.0017412249,0.0007745672,0.0036640132,0.0028133567,0.0026913737,0.005998001],"category_scores_gemma":[0.008089478,0.0010234996,0.001721205,0.0011210472,0.0014389539,0.0033068925,0.0026027185,0.0026379519,0.0005938001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008746827,0.00009904593,0.0029617392,0.00020616462,0.00041702078,0.00016014095,0.00013908457,0.93126553,0.0005779797,0.03654584,0.0019042427,0.025635825],"study_design_scores_gemma":[0.000016709328,0.00007127705,0.00046047827,0.000033418735,0.000074873584,0.000039224837,0.00006104941,0.97212964,0.0000688701,0.025572648,0.0014525723,0.00001918308],"about_ca_topic_score_codex":0.013436444,"about_ca_topic_score_gemma":0.012774103,"teacher_disagreement_score":0.013436444,"about_ca_system_score_codex":0.0026675556,"about_ca_system_score_gemma":0.0020953044,"threshold_uncertainty_score":0.02671647},"labels":[],"label_agreement":null},{"id":"W2514701789","doi":"10.22004/ag.econ.289952","title":"Canada’s Supply-Managed Dairy Policy: An Agenda for Reform","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Political science","score_opus":0.04536075952914213,"score_gpt":0.23858324762838687,"score_spread":0.19322248809924475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514701789","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024176976,0.0056425016,0.0012865791,0.85839915,0.0013924263,0.00009966571,0.0007072944,0.00010261901,0.10819274],"genre_scores_gemma":[0.5495977,0.007930589,0.0069921194,0.2551823,0.0008817347,0.00022170974,0.000477554,0.00013057505,0.17858578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9907845,0.0012923639,0.00017215453,0.00050278095,0.0031825136,0.004065603],"domain_scores_gemma":[0.98554176,0.0023457876,0.0004139872,0.00030477985,0.004998399,0.0063952655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075165723,0.0005784558,0.0006909467,0.0023989666,0.019040141,0.016967183,0.0041244444,0.012270178,0.01095812],"category_scores_gemma":[0.01591143,0.00082787796,0.00070415257,0.0037571623,0.0097750425,0.00475696,0.0038035277,0.009505411,0.00046152138],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00008250072,0.00016143554,0.0040489715,0.00022454634,0.000060094037,0.00033635777,0.005584105,0.0018381148,0.0005380444,0.63401306,0.3212899,0.0318228],"study_design_scores_gemma":[0.00011530502,0.000042822572,0.011676533,0.00046689826,0.000048720052,0.000050251736,0.0109843975,0.0023301642,0.00039327279,0.046509847,0.9272428,0.00013891619],"about_ca_topic_score_codex":0.995544,"about_ca_topic_score_gemma":0.9976695,"teacher_disagreement_score":0.7445711,"about_ca_system_score_codex":0.2554289,"about_ca_system_score_gemma":0.6278908,"threshold_uncertainty_score":0.8635969},"labels":[],"label_agreement":null},{"id":"W2517973533","doi":"10.22004/ag.econ.235110","title":"Consumers’ Willingness-To-Pay for RNAi versus Bt Rice: Are all biotechnologies the same?","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"RNA interference; Biotechnology; Genetically modified crops; Agriculture; Genetically modified organism; Pest control; Pesticide; Biology; Willingness to pay; Bacillus thuringiensis; Business; Valuation (finance); Agricultural science; Economics; Gene; Ecology; Transgene; Genetics; RNA","score_opus":0.03490665863191626,"score_gpt":0.3096501087728928,"score_spread":0.2747434501409765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517973533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527824,0.00009838291,0.00017991246,0.0008598702,0.000008478027,0.00002616646,0.00012921846,0.000003214234,0.0034166207],"genre_scores_gemma":[0.9988187,0.000053211315,0.000120556826,0.00035157002,0.000005194124,0.000016113656,0.000060138682,0.0000016482265,0.0005727093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993007,0.00023601738,0.00003135581,0.00009348714,0.00018799388,0.00015049179],"domain_scores_gemma":[0.99676716,0.0016177791,0.0006398315,0.00009579837,0.00048033858,0.00039915228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016002198,0.00013107242,0.00024334884,0.0003631922,0.0005841956,0.0016773504,0.00021522648,0.0011470966,0.004748191],"category_scores_gemma":[0.0050601494,0.00015688929,0.00047409878,0.00041380417,0.00084790785,0.0013225884,0.00032621986,0.0013917304,0.00042880588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043268395,0.0022440178,0.88818085,0.00023267881,0.00026590144,0.0007910661,0.017711775,0.0009795706,0.0068423827,0.0071885916,0.0064521013,0.06478425],"study_design_scores_gemma":[0.00014688223,0.0014951606,0.938427,0.0001001603,0.00013603002,0.00032118213,0.038044948,0.0045531993,0.0013806344,0.00360816,0.011629009,0.00015778042],"about_ca_topic_score_codex":0.02845425,"about_ca_topic_score_gemma":0.022873474,"teacher_disagreement_score":0.02845425,"about_ca_system_score_codex":0.0017690101,"about_ca_system_score_gemma":0.000611093,"threshold_uncertainty_score":0.056577265},"labels":[],"label_agreement":null},{"id":"W2533069753","doi":"10.22004/ag.econ.243923","title":"Economic PConsumer demand, export markets help maintain favourable business climate","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Inflation (cosmology); Consumer confidence index; Economics; Climate change; Business cycle; Business; Agricultural economics; Geography; Macroeconomics","score_opus":0.0279976271568001,"score_gpt":0.22372581499746744,"score_spread":0.19572818784066734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533069753","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8656898,0.00081295136,0.00053012127,0.0077468087,0.00010380066,0.00004634149,0.00079122407,0.000060329035,0.12421859],"genre_scores_gemma":[0.9844014,0.00040279466,0.0003803562,0.0004961485,0.000040043968,0.000017493465,0.00031345544,0.000013550272,0.013934868],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963295,0.00009549831,0.000017934568,0.00003886496,0.00009461851,0.000120019205],"domain_scores_gemma":[0.9978123,0.00036838264,0.0007753638,0.00010934184,0.0004341401,0.0005005559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007051186,0.00020237202,0.00020184959,0.0004814627,0.0010247588,0.003225943,0.0002536137,0.0005346987,0.039772607],"category_scores_gemma":[0.0032704042,0.00014394616,0.00021420654,0.0007845661,0.00047447783,0.0016742639,0.0011384153,0.0008114924,0.0031250014],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032027843,0.0005940272,0.7795719,0.00072327687,0.000099354686,0.0010575743,0.011577729,0.0010293542,0.0034987929,0.014245754,0.06718432,0.120097704],"study_design_scores_gemma":[0.000018345385,0.000104801395,0.8943954,0.0001371459,0.000021814392,0.00014540288,0.016495684,0.00036106125,0.00055922044,0.0027265225,0.0850085,0.00002605481],"about_ca_topic_score_codex":0.0045848214,"about_ca_topic_score_gemma":0.012047302,"teacher_disagreement_score":0.039772607,"about_ca_system_score_codex":0.00086396787,"about_ca_system_score_gemma":0.000865738,"threshold_uncertainty_score":0.13305259},"labels":[],"label_agreement":null},{"id":"W2550336312","doi":"10.22004/ag.econ.289932","title":"Status and Competitive Impacts of Ethanol Development on Canadian Livestock Industries","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Natural resource economics; Business; Agricultural economics; Economics; Geography; Forestry","score_opus":0.03307014346979585,"score_gpt":0.20516373134535887,"score_spread":0.172093587875563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550336312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726731,0.0011165712,0.000044297976,0.0018279984,0.000012648349,0.000011695636,0.0022014508,0.000004876373,0.022107385],"genre_scores_gemma":[0.9953257,0.00065751997,0.000027639402,0.00007937455,0.000005836701,0.0000015045514,0.0005693273,0.0000015688366,0.003331628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927634,0.000046943256,0.00002250949,0.000040313153,0.00024700924,0.00036678195],"domain_scores_gemma":[0.99503976,0.00044309552,0.00070773216,0.000059213562,0.0024564145,0.001293849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076079456,0.00019428723,0.00017452303,0.00207639,0.00201523,0.0023841418,0.000788825,0.0005555464,0.0060495054],"category_scores_gemma":[0.0031608606,0.000116872296,0.00035562977,0.0030176248,0.0009514654,0.0007700022,0.0009945229,0.00063933677,0.00023655787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000790633,0.00019246877,0.94900817,0.00007200638,0.00007985552,0.00041666353,0.0012018749,0.0023377233,0.0008470719,0.013145198,0.004562101,0.027346238],"study_design_scores_gemma":[0.000015614854,0.000044724533,0.98462003,0.00003559781,0.00004416656,0.000045148965,0.004873648,0.0010203837,0.00030752667,0.0004945305,0.008477078,0.000021550533],"about_ca_topic_score_codex":0.9840956,"about_ca_topic_score_gemma":0.99562526,"teacher_disagreement_score":0.037472855,"about_ca_system_score_codex":0.037472855,"about_ca_system_score_gemma":0.022874823,"threshold_uncertainty_score":0.27188587},"labels":[],"label_agreement":null},{"id":"W2554250298","doi":"10.22004/ag.econ.273059","title":"Innovation and Export Performance of the Food Processing Sector: Opportunities and Limitations","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Food sector; Competition (biology); Business; Food processing; International trade; Agriculture; Globalization; Investment (military); Commerce; Economics; Chemistry; Market economy; Food science; Geography; Political science","score_opus":0.17735296296521366,"score_gpt":0.21360798338682432,"score_spread":0.03625502042161066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554250298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9555453,0.011175014,0.00048055875,0.016421162,0.000060137045,0.000010596199,0.00072219083,0.000011350534,0.015573689],"genre_scores_gemma":[0.99663264,0.0018493006,0.00009402806,0.00027277393,0.00015708848,0.0000044271605,0.00012985863,0.0000034730895,0.00085648143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996768,0.0017506864,0.00016667554,0.00042998875,0.00037432782,0.0005103268],"domain_scores_gemma":[0.91989774,0.06290411,0.00776438,0.0022811661,0.0048421854,0.0023104893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011190946,0.0004144737,0.00075995986,0.0015469423,0.0006399857,0.0038993629,0.0013798953,0.0015508735,0.003986162],"category_scores_gemma":[0.02503134,0.00014763251,0.000662621,0.0028637429,0.0024316702,0.0047609806,0.0018872288,0.0015321304,0.00041591682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084747485,0.0005115184,0.9021458,0.00042810617,0.0004408087,0.00023938826,0.0016981718,0.005617494,0.00038679803,0.016835092,0.0023486568,0.06850073],"study_design_scores_gemma":[0.000054908072,0.00042346213,0.94837743,0.00062995445,0.00029400503,0.00016670067,0.006521142,0.0077691018,0.0008882757,0.027330248,0.007476594,0.0000682153],"about_ca_topic_score_codex":0.024265492,"about_ca_topic_score_gemma":0.021710029,"teacher_disagreement_score":0.024265492,"about_ca_system_score_codex":0.0020337172,"about_ca_system_score_gemma":0.0023865472,"threshold_uncertainty_score":0.059184134},"labels":[],"label_agreement":null},{"id":"W2556207062","doi":"10.22004/ag.econ.241977","title":"Trade Effects of Ensuring Export Discipline through Parallelism: The Case of Skim Milk","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Parallelism (grammar); International trade; Export subsidy; Negotiation; Competition (biology); International economics; Distortion (music); Business; Trade barrier; Economics; Industrial organization; Commercial policy; Computer science; Political science; Market economy","score_opus":0.06802304017625833,"score_gpt":0.2307926885863639,"score_spread":0.16276964841010555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556207062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798055,0.00020889341,0.008081614,0.000537755,0.000010147883,0.000025453935,0.000086018284,0.0000430115,0.011201516],"genre_scores_gemma":[0.9985697,0.00008513811,0.0005899671,0.000029687808,0.0000044129974,0.0000040456835,0.000014259249,0.0000078309395,0.00069499435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99944586,0.00021047094,0.00002113236,0.000064390006,0.00006476445,0.00019339481],"domain_scores_gemma":[0.9961119,0.0017251783,0.0012419253,0.00038872007,0.00028727838,0.0002449319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014535824,0.00041457746,0.00068676873,0.0004885545,0.000872139,0.0014454459,0.00062241615,0.0012717473,0.0033799196],"category_scores_gemma":[0.006223321,0.00027106985,0.0010113958,0.0006017467,0.0024220243,0.0023991263,0.0015355283,0.0011124384,0.00017022458],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007438274,0.00015053572,0.016587563,0.00011449817,0.00009560834,0.0009176296,0.00024433335,0.8686672,0.004246788,0.10057652,0.00075980194,0.0068956404],"study_design_scores_gemma":[0.00064555294,0.00091384014,0.031937476,0.00007396986,0.0002539175,0.00042612082,0.0012843105,0.725391,0.005373155,0.22853547,0.0050433394,0.00012199721],"about_ca_topic_score_codex":0.01962869,"about_ca_topic_score_gemma":0.010015144,"teacher_disagreement_score":0.01962869,"about_ca_system_score_codex":0.0027616485,"about_ca_system_score_gemma":0.0017534196,"threshold_uncertainty_score":0.039028883},"labels":[],"label_agreement":null},{"id":"W2565494989","doi":"10.22004/ag.econ.244613","title":"Cross-Boarder Labour Mobility in the Windsor-Detroit Region: The Case of Nurses","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Accreditation; Metropolitan area; Work (physics); Compensation (psychology); Political science; Business; Economic growth; Economics; Geography; Psychology; Engineering","score_opus":0.11104158527640845,"score_gpt":0.43367641987909344,"score_spread":0.322634834602685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565494989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585895,0.00092581165,0.0002213185,0.014067721,0.00009032412,0.000030890584,0.000032898442,0.000004228163,0.026037263],"genre_scores_gemma":[0.9860249,0.0014033356,0.00035753567,0.0028736047,0.00004031476,0.000028146062,0.000022879227,0.000008742149,0.009240567],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9977404,0.0007980266,0.00005303225,0.00011005685,0.00018748207,0.0011110228],"domain_scores_gemma":[0.99851817,0.00031660014,0.00025836285,0.000048869908,0.00016892444,0.0006890027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015716875,0.00023763167,0.00024066053,0.00055835355,0.01986518,0.0031605798,0.00120042,0.00232362,0.00320821],"category_scores_gemma":[0.0023174535,0.00029908892,0.00032782735,0.0011087582,0.0042240093,0.0015608156,0.00475284,0.0019636163,0.00028813246],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000695838,0.000098201344,0.13444884,0.00015248907,0.000025133944,0.049723495,0.77184033,0.00027927166,0.00070386415,0.012026145,0.010023537,0.020609118],"study_design_scores_gemma":[0.0000034054463,0.000029647605,0.02848517,0.00014615862,0.00000677177,0.0038993459,0.9383871,0.00008899724,0.00006615631,0.00033388627,0.028538728,0.00001474131],"about_ca_topic_score_codex":0.7070775,"about_ca_topic_score_gemma":0.915837,"teacher_disagreement_score":0.2929225,"about_ca_system_score_codex":0.014556549,"about_ca_system_score_gemma":0.019483248,"threshold_uncertainty_score":0.58929515},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trogoderma granarium; Biology; PEST analysis; Infestation; Toxicology; Agronomy; Botany","score_opus":0.04953407536626847,"score_gpt":0.2558780736678067,"score_spread":0.2063439983015382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569124884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810512,0.006478307,0.00012267793,0.0011591184,0.000028273136,0.00002576622,0.0001530723,0.0000150976375,0.010966387],"genre_scores_gemma":[0.98983765,0.004139261,0.00024346715,0.00022665493,0.0000132701,0.000009024109,0.0001176274,0.0000025288414,0.0054105744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977225,0.00002941332,0.000012936475,0.000041777697,0.00009491703,0.00004866537],"domain_scores_gemma":[0.99964976,0.00002024186,0.00015478372,0.000007359276,0.00007676408,0.0000910615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021080708,0.0000959914,0.000069044625,0.00052046496,0.0006959229,0.0004946433,0.00017784211,0.00025721334,0.0011495814],"category_scores_gemma":[0.00040710348,0.000114227885,0.000089613255,0.00054374686,0.00036401322,0.00043110186,0.0005939677,0.00035279812,0.00013206842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017540235,0.000305845,0.6653937,0.0012782065,0.000091740716,0.0059197475,0.016352758,0.00079802354,0.017000368,0.0020680076,0.010850221,0.27976593],"study_design_scores_gemma":[0.0000025016307,0.000078593686,0.97774976,0.00008289937,0.000016708604,0.0009871338,0.0036655578,0.0001980977,0.0003965551,0.000063645224,0.016749041,0.000009494064],"about_ca_topic_score_codex":0.10211623,"about_ca_topic_score_gemma":0.23145013,"teacher_disagreement_score":0.10211623,"about_ca_system_score_codex":0.0009883695,"about_ca_system_score_gemma":0.0013651457,"threshold_uncertainty_score":0.2030437},"labels":[],"label_agreement":null},{"id":"W2594350993","doi":"10.22004/ag.econ.274699","title":"Student Aid and the Distribution of Educational Attainment","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Demographic economics; Educational attainment; Indigenous; Distribution (mathematics); Higher education; Demography; Percentage point; Economics; Political science; Economic growth; Sociology; Engineering; Finance","score_opus":0.03329522352303184,"score_gpt":0.2398718191386308,"score_spread":0.20657659561559893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594350993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931161,0.00042756114,0.00047415384,0.0011569196,0.000009772376,0.000007581518,0.00034124363,0.000014359024,0.0044523245],"genre_scores_gemma":[0.9988312,0.00010712786,0.000037277023,0.000019007528,0.0000044259136,0.0000016210726,0.000063292115,0.0000016669416,0.0009343832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940896,0.00015647635,0.000013166273,0.000055342913,0.00006719152,0.00029886785],"domain_scores_gemma":[0.996798,0.001067365,0.00083718385,0.00013110296,0.00033419527,0.00083228527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009303892,0.00017764668,0.0003379245,0.000987663,0.0006903625,0.0018274166,0.0006182356,0.00039611518,0.00494042],"category_scores_gemma":[0.004740158,0.000074758485,0.00028318242,0.0011598014,0.0015804402,0.0004511762,0.0017507527,0.0011753136,0.0003558889],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045963388,0.0003545829,0.9258331,0.000045445126,0.0001484528,0.00037488976,0.0012200994,0.016127275,0.0007205431,0.025437133,0.003078178,0.026200637],"study_design_scores_gemma":[0.00005613466,0.00020729724,0.948897,0.00007157753,0.0000883166,0.00012731024,0.0049725347,0.027385842,0.00093216985,0.010361468,0.006862517,0.000037816888],"about_ca_topic_score_codex":0.28160092,"about_ca_topic_score_gemma":0.23371458,"teacher_disagreement_score":0.28160092,"about_ca_system_score_codex":0.003831992,"about_ca_system_score_gemma":0.0017168068,"threshold_uncertainty_score":0.55992365},"labels":[],"label_agreement":null},{"id":"W2597877403","doi":"10.22004/ag.econ.235251","title":"Modeling Temperature and Precipitation Influences on Yield Distributions of Canola and Spring Wheat in Saskatchewan","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Canola; Precipitation; Yield (engineering); Growing season; Growing degree-day; Environmental science; Agronomy; Crop; Spring (device); Crop yield; Sowing; Geography; Biology; Meteorology","score_opus":0.028296316625103124,"score_gpt":0.22227965799204788,"score_spread":0.19398334136694476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597877403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981554,0.000032189073,0.0004147057,0.0000892015,0.0000028514794,0.000008428085,0.00038463177,0.0000122876445,0.00090032],"genre_scores_gemma":[0.9983701,0.000056154615,0.00038511425,0.000021177486,0.0000015977033,0.000009607948,0.00039579475,0.000005795481,0.0007547538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975234,0.00007130067,0.000010428113,0.00005784869,0.000023679346,0.00008436857],"domain_scores_gemma":[0.9990631,0.00051537476,0.0001080903,0.00006836591,0.00015007667,0.00009498277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007584022,0.00039671775,0.00026847798,0.000604243,0.00046454856,0.0010698325,0.00087609736,0.0005083418,0.001185193],"category_scores_gemma":[0.002108047,0.00042277842,0.00053012965,0.0011286583,0.00040272722,0.00044604656,0.00066126813,0.00051113416,0.00016656032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020707784,0.00009248253,0.2562755,0.00001981694,0.0002723785,0.00027282775,0.00012242996,0.73265004,0.0017574664,0.0012026383,0.000661038,0.00646618],"study_design_scores_gemma":[0.000030151557,0.00003138883,0.17523412,0.000010817326,0.00007207127,0.000024965451,0.0004541479,0.82194173,0.00077480375,0.0007396628,0.0006567241,0.000029417275],"about_ca_topic_score_codex":0.75569946,"about_ca_topic_score_gemma":0.8222066,"teacher_disagreement_score":0.24430054,"about_ca_system_score_codex":0.008278434,"about_ca_system_score_gemma":0.004314342,"threshold_uncertainty_score":0.4914785},"labels":[],"label_agreement":null},{"id":"W2601506573","doi":"10.22004/ag.econ.252700","title":"Young Food Consumers: How do Children Respond to Point-of-Purchase Interventions?","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; National Institute of Food and Agriculture; University of Alberta; U.S. Department of Agriculture","keywords":"Psychological intervention; Point of sale; Work (physics); Marketing; Point (geometry); Business; Food choice; Psychology; Economics; Public economics; Advertising; Medicine","score_opus":0.07631918613938099,"score_gpt":0.321206419619962,"score_spread":0.244887233480581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601506573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976375,0.00025698,0.00009494516,0.0003561532,0.0000068926374,0.000013804897,0.00007963452,0.0000039808488,0.0015500968],"genre_scores_gemma":[0.99761117,0.00066391047,0.0003913756,0.0002903309,0.0000068194163,0.00003735722,0.00014587009,0.000005034608,0.0008482062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994461,0.00016983922,0.000027490398,0.00010940699,0.00015184109,0.000095282696],"domain_scores_gemma":[0.9975091,0.0010191819,0.0009437463,0.00011231863,0.00020465485,0.00021098019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014071098,0.0001575214,0.00027359903,0.00032122087,0.00025943242,0.0010503132,0.00028808438,0.0007431085,0.0020530215],"category_scores_gemma":[0.0073741204,0.00022899873,0.00028112397,0.0003113541,0.00050557393,0.00080384157,0.00035851865,0.00081184733,0.00037379886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038023537,0.0008886506,0.93005097,0.00014389516,0.000060801867,0.00019895387,0.019330414,0.00013068323,0.0029107027,0.0003362613,0.0009324626,0.04463596],"study_design_scores_gemma":[0.000027877708,0.0005523543,0.9792949,0.000078207784,0.000060131893,0.00015886065,0.015390748,0.00019826266,0.0010849924,0.00044051895,0.0026921951,0.000020895213],"about_ca_topic_score_codex":0.006345304,"about_ca_topic_score_gemma":0.009356324,"teacher_disagreement_score":0.006345304,"about_ca_system_score_codex":0.0005631174,"about_ca_system_score_gemma":0.00051848975,"threshold_uncertainty_score":0.012616754},"labels":[],"label_agreement":null},{"id":"W2602337058","doi":"10.22004/ag.econ.252760","title":"U.S. Demand for Fresh Fruit Imports","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Almost ideal demand system; Agricultural economics; Economics; Value (mathematics); International trade; International economics; Production (economics); Macroeconomics; Mathematics","score_opus":0.050553856566615867,"score_gpt":0.2551233214441284,"score_spread":0.20456946487751254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602337058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79869413,0.0019898405,0.007841203,0.0038023426,0.00012189388,0.00007393428,0.06508759,0.00046977637,0.12191935],"genre_scores_gemma":[0.9643874,0.0010725004,0.002541079,0.00033826148,0.000022534565,0.000028419608,0.02406522,0.000038263777,0.007506327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998312,0.000025795991,0.000010179133,0.0000547306,0.000051688185,0.000026393222],"domain_scores_gemma":[0.9996239,0.00012365408,0.00008149795,0.000035939946,0.000103986655,0.000030892093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026443845,0.00024713718,0.00026064203,0.0005835109,0.00041408415,0.0015371258,0.0002643694,0.0003741129,0.013775211],"category_scores_gemma":[0.0012089504,0.0002545893,0.00057909655,0.001524514,0.0001578039,0.000709944,0.00036463264,0.00041682835,0.0020318176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030615376,0.00023298924,0.5475139,0.00038956708,0.0002528961,0.00087064336,0.0013002536,0.12839937,0.0018925957,0.08004421,0.1461525,0.09264496],"study_design_scores_gemma":[0.00006110067,0.00023406003,0.5216031,0.00047865234,0.00019849515,0.00080408476,0.0043210294,0.23258524,0.0014233326,0.034170818,0.20394818,0.0001719309],"about_ca_topic_score_codex":0.09438993,"about_ca_topic_score_gemma":0.09462372,"teacher_disagreement_score":0.09438993,"about_ca_system_score_codex":0.0018648276,"about_ca_system_score_gemma":0.0011748391,"threshold_uncertainty_score":0.18768102},"labels":[],"label_agreement":null},{"id":"W2603814529","doi":"10.22004/ag.econ.249792","title":"Health and Safety in EU Agriculture","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Work (physics); Occupational safety and health; Action (physics); Member states; Business; Fishing; Incidence (geometry); Quarter (Canadian coin); Geography; European union; Political science; Economic policy; Engineering","score_opus":0.017616487237120244,"score_gpt":0.20363519951034043,"score_spread":0.18601871227322017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603814529","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13691732,0.08745938,0.0042242496,0.18029338,0.0030175592,0.000114345145,0.0005411143,0.00013952552,0.58729315],"genre_scores_gemma":[0.90269154,0.018865116,0.0051206737,0.04215722,0.0009867293,0.000101957885,0.0003992707,0.000028739021,0.029648706],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99540836,0.0021721497,0.00031205046,0.0005131162,0.0008738395,0.00072047464],"domain_scores_gemma":[0.9971214,0.00090751046,0.000445994,0.00020167678,0.0006783761,0.0006450491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005438981,0.00021547206,0.00036798048,0.0009782163,0.0026684972,0.004623317,0.000526529,0.003577087,0.006324818],"category_scores_gemma":[0.004378352,0.00014188368,0.00029757974,0.0010687878,0.003257835,0.0018429392,0.0044049975,0.0016100445,0.00074570486],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014885337,0.00038239232,0.037388973,0.0011206447,0.00006474513,0.0011774806,0.014316292,0.0012209744,0.002831998,0.30754092,0.086507596,0.5472993],"study_design_scores_gemma":[0.000019290123,0.00039254114,0.15643382,0.0022362696,0.000021329262,0.00060025725,0.011650776,0.000312641,0.00053980947,0.06022972,0.7675121,0.000051477327],"about_ca_topic_score_codex":0.013304351,"about_ca_topic_score_gemma":0.011095225,"teacher_disagreement_score":0.013304351,"about_ca_system_score_codex":0.004057146,"about_ca_system_score_gemma":0.0063822307,"threshold_uncertainty_score":0.029436767},"labels":[],"label_agreement":null},{"id":"W2605578892","doi":"10.22004/ag.econ.275901","title":"Assessing the Market Premium for Organic Certification among Canadian Community Supported Agriculture Programs","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Certification; Price premium; Organic certification; Organic farming; Business; Agriculture; Production (economics); Agricultural science; Agricultural economics; Marketing; Economics; Geography; Environmental science","score_opus":0.04322013334881696,"score_gpt":0.2315138024193624,"score_spread":0.18829366907054543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605578892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885232,0.00009711243,0.0001430116,0.00037860943,0.0000063280036,0.00003455798,0.0013452306,0.000007835174,0.009464004],"genre_scores_gemma":[0.9973877,0.00006519181,0.00015428686,0.0000539115,0.000003612479,0.000008298173,0.0007104065,0.0000028810505,0.001613632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852353,0.00011259982,0.000025268326,0.0001352905,0.00082014065,0.0003831984],"domain_scores_gemma":[0.99489504,0.0007670532,0.0012366702,0.0001295294,0.0017195431,0.0012521556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012405869,0.00014960712,0.00013845356,0.0015538683,0.0011470185,0.0010710985,0.0007809957,0.00031502426,0.0045700558],"category_scores_gemma":[0.005923899,0.000106375504,0.0002399656,0.0020798836,0.0005164283,0.00037478848,0.0005808829,0.00053298625,0.00021719914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115592215,0.00013881507,0.97786707,0.000026897982,0.000036655532,0.00006988046,0.0009119447,0.00038176385,0.0005444383,0.00068213174,0.003058124,0.01616668],"study_design_scores_gemma":[0.0000030675392,0.000027006177,0.9965552,0.0000075980347,0.000007872246,0.000011293799,0.0013337847,0.0004447501,0.00008882058,0.000031172174,0.0014850142,0.000004513108],"about_ca_topic_score_codex":0.9503252,"about_ca_topic_score_gemma":0.9793452,"teacher_disagreement_score":0.04967481,"about_ca_system_score_codex":0.017419307,"about_ca_system_score_gemma":0.010898693,"threshold_uncertainty_score":0.12638652},"labels":[],"label_agreement":null},{"id":"W2606567328","doi":"10.22004/ag.econ.245194","title":"MILK PRODUCTION IN SERBIA AND POSITION SMALL FARMERS","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agricultural science; Production (economics); Milk production; Livestock; Business; Position (finance); Agricultural economics; Geography; Animal science; Economics; Biology","score_opus":0.03592850670506075,"score_gpt":0.19582594149481172,"score_spread":0.15989743478975096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606567328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99295914,0.0023680562,0.00005166581,0.0003779957,0.000018483235,0.0000037225077,0.00036643815,0.0000031565407,0.0038513448],"genre_scores_gemma":[0.9982272,0.0010022763,0.000022885572,0.000026648073,0.000010240156,0.0000019717695,0.00011644818,8.2164934e-7,0.0005915033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997695,0.00006355223,0.000011326315,0.0000326343,0.000027697482,0.000095345174],"domain_scores_gemma":[0.9992705,0.00011421693,0.0003215211,0.000015027535,0.000069812086,0.00020899462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003818046,0.00021320139,0.00018786782,0.0014398388,0.0004422054,0.0009806962,0.0001941115,0.00017231883,0.0024829982],"category_scores_gemma":[0.00088463334,0.00011431418,0.00011104141,0.0012666174,0.0004780352,0.00047987254,0.00057867,0.00033314028,0.000301174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029424424,0.00013387213,0.9670233,0.000074508855,0.00005271943,0.0012446789,0.0020034844,0.0007334472,0.0006612195,0.0035153127,0.0020806931,0.022182502],"study_design_scores_gemma":[0.000013633763,0.00012382664,0.98903966,0.00008893985,0.000018383224,0.0003712152,0.0036543931,0.00035791015,0.00014820021,0.00025484333,0.005921283,0.000007634454],"about_ca_topic_score_codex":0.016981408,"about_ca_topic_score_gemma":0.015632207,"teacher_disagreement_score":0.016981408,"about_ca_system_score_codex":0.00072930526,"about_ca_system_score_gemma":0.0005841016,"threshold_uncertainty_score":0.033765137},"labels":[],"label_agreement":null},{"id":"W2607897585","doi":"10.22004/ag.econ.253250","title":"An Agent Based Simulation of Farm Succession and Farmland Valuation","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Business; Lease; Agriculture; Diversification (marketing strategy); Earnings; Valuation (finance); Family farm; Finance; Agricultural economics; Economics; Geography","score_opus":0.06705585469953526,"score_gpt":0.2802434601557358,"score_spread":0.21318760545620055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607897585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85510343,0.00040324515,0.100152135,0.0012806535,0.0001430396,0.00024420474,0.0018887414,0.000543706,0.040240895],"genre_scores_gemma":[0.9847868,0.00011326677,0.009914334,0.00005310408,0.000008049387,0.00012941739,0.0003511256,0.000011219176,0.004632682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983275,0.000056609995,0.000007764394,0.000026804908,0.000026164478,0.000049865135],"domain_scores_gemma":[0.99907696,0.00057959295,0.00007917847,0.000033849734,0.0001006446,0.00012970968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038938943,0.0005434054,0.00065492163,0.0004490902,0.00054341706,0.0011841463,0.0010224418,0.0017784059,0.0056155883],"category_scores_gemma":[0.0017801971,0.00034167254,0.0006038242,0.0004406365,0.0005554964,0.00060294656,0.0009715095,0.00092408265,0.00028222988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046509096,0.000033790682,0.0014851582,0.000009890702,0.000012472484,0.000064764885,0.000023245648,0.99467456,0.00016848069,0.002339519,0.0002176268,0.0009238683],"study_design_scores_gemma":[0.000019003546,0.000017907852,0.00021779623,0.0000029195237,0.000005534099,0.0000056595204,0.000022142518,0.99876773,0.000051488147,0.0005961698,0.00029017284,0.0000035352864],"about_ca_topic_score_codex":0.048426695,"about_ca_topic_score_gemma":0.02632673,"teacher_disagreement_score":0.048426695,"about_ca_system_score_codex":0.0012208964,"about_ca_system_score_gemma":0.0016734542,"threshold_uncertainty_score":0.096289635},"labels":[],"label_agreement":null},{"id":"W2611318413","doi":"10.22004/ag.econ.60405","title":"WESTERN ECONOMIC EXPECTATIONS SURVEY: MARCH, 2010","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography","score_opus":0.08112220395654259,"score_gpt":0.2267024144815399,"score_spread":0.1455802105249973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611318413","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011796973,0.00052116514,0.00037920708,0.0014218864,0.00018497175,0.00074630044,0.9392626,0.00024533,0.045441456],"genre_scores_gemma":[0.034988824,0.0013089111,0.0017502585,0.0013762517,0.000119945704,0.002343491,0.8738138,0.00017021663,0.08412842],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9985744,0.00011383169,0.000183959,0.000112677095,0.0008171251,0.00019814484],"domain_scores_gemma":[0.98818797,0.00046782324,0.00064919924,0.00041850246,0.009447208,0.0008293579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020891242,0.00050209614,0.00046471602,0.002654656,0.0012499051,0.0016030059,0.001141291,0.0005553468,0.019250767],"category_scores_gemma":[0.009200877,0.00049196684,0.0002972443,0.005963539,0.00021489305,0.0012063414,0.00080140366,0.0011544186,0.015919399],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012830681,0.00005817693,0.02040546,0.00015071782,0.000014639653,0.000021773778,0.00018981841,0.0000978502,0.00005752761,0.00077135325,0.96459144,0.013512914],"study_design_scores_gemma":[0.000058466896,0.000036696358,0.33701143,0.0002522234,0.000023763463,0.00004270669,0.00063563464,0.00028786593,0.00021467998,0.00027059633,0.66112137,0.00004462292],"about_ca_topic_score_codex":0.7382507,"about_ca_topic_score_gemma":0.83649445,"teacher_disagreement_score":0.7382507,"about_ca_system_score_codex":0.0066569513,"about_ca_system_score_gemma":0.00953321,"threshold_uncertainty_score":0.52658165},"labels":[],"label_agreement":null},{"id":"W2613346467","doi":"10.22004/ag.econ.253112","title":"PRELIMINARY INVESTIGATIONS INTO THE PRODUCTION OF FREEZE-DRIED PUMPKIN POWDERS","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; McGill University","keywords":"Cultivar; Freeze-drying; Dried fruit; Food science; Horticulture; Chemistry; Materials science; Chromatography; Biology","score_opus":0.04108214315875482,"score_gpt":0.2858702196275702,"score_spread":0.24478807646881537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613346467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98414063,0.0012514208,0.011935911,0.000077560384,0.000024195218,0.00023078379,0.0004616563,0.00007646584,0.0018014748],"genre_scores_gemma":[0.9425306,0.0016680823,0.0500657,0.00008216977,0.000020237332,0.00016671345,0.0013500706,0.00015486838,0.0039615296],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997886,0.000048367176,0.000017932603,0.000046522156,0.00007321216,0.000025505193],"domain_scores_gemma":[0.9994325,0.00019375572,0.000067075285,0.0000661944,0.00019563493,0.000044785273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007062918,0.0004097555,0.00034591657,0.00027878347,0.0003218186,0.00034760783,0.00027647484,0.00025598618,0.0012562015],"category_scores_gemma":[0.0008879132,0.00015954838,0.0003314954,0.00030319445,0.00024685037,0.000465239,0.00020474494,0.0004678065,0.0002855261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067126675,0.000027136895,0.000344977,0.000099750796,0.00000940443,0.00007071394,0.00007383125,0.000078422934,0.9972627,0.000031477008,0.00002074773,0.0019137125],"study_design_scores_gemma":[0.000010445513,0.000595714,0.0059952345,0.00001530809,0.000028804485,0.00018903137,0.000073368545,0.00027186895,0.9907018,0.000026870941,0.0020845174,0.00000706235],"about_ca_topic_score_codex":0.0007774297,"about_ca_topic_score_gemma":0.0020305156,"teacher_disagreement_score":0.0012562015,"about_ca_system_score_codex":0.00020932152,"about_ca_system_score_gemma":0.00018993461,"threshold_uncertainty_score":0.0042024255},"labels":[],"label_agreement":null},{"id":"W2615276953","doi":"10.22004/ag.econ.274706","title":"Where are the economies of scale in Canadian banking?","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ordinary least squares; Returns to scale; Estimator; Fixed cost; Economies of scale; Economics; Sample (material); Panel data; Econometrics; Scale (ratio); Banking industry; Asset (computer security); Finance; Mathematics; Microeconomics; Statistics; Production (economics); Computer science","score_opus":0.03274743658358719,"score_gpt":0.2268486278231662,"score_spread":0.194101191239579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615276953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89984643,0.011678285,0.002276689,0.014057317,0.00005989617,0.000092657145,0.013124065,0.00005438375,0.058810264],"genre_scores_gemma":[0.9908642,0.0027845125,0.0007991983,0.00026937915,0.000019404237,0.00001820594,0.0018823885,0.000012572698,0.0033501405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985947,0.000112564674,0.00005612216,0.0002209813,0.0006515039,0.00036418266],"domain_scores_gemma":[0.99468625,0.0010616968,0.0011493976,0.00027319443,0.0023334988,0.0004959851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012738428,0.00039099337,0.00047394578,0.0035385303,0.0024077077,0.0037545238,0.00083658646,0.000489697,0.004087464],"category_scores_gemma":[0.011124294,0.00018161541,0.00043882043,0.007897553,0.0019502707,0.0017986952,0.0009475089,0.00080068,0.00024529392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032173705,0.000081090555,0.6958252,0.00043604398,0.00021944579,0.00042231262,0.006408475,0.014397187,0.0007661865,0.09511067,0.036633812,0.14937782],"study_design_scores_gemma":[0.000020537942,0.000015690517,0.9447465,0.00016255771,0.000083864965,0.00005170398,0.004267062,0.005506472,0.00030235542,0.008703565,0.03606026,0.00007939039],"about_ca_topic_score_codex":0.99469095,"about_ca_topic_score_gemma":0.996161,"teacher_disagreement_score":0.052945178,"about_ca_system_score_codex":0.052945178,"about_ca_system_score_gemma":0.028902754,"threshold_uncertainty_score":0.38414598},"labels":[],"label_agreement":null},{"id":"W2616798284","doi":"10.22004/ag.econ.274643","title":"Bootstrap tests for overidentification in linear regression models","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Linear regression; Statistics; Mathematics; Econometrics","score_opus":0.22834445260110994,"score_gpt":0.3982449059131156,"score_spread":0.16990045331200568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616798284","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05571456,0.00055907096,0.94048595,0.00076906173,0.000053183532,0.000080664635,0.000096141426,0.0005428376,0.0016985458],"genre_scores_gemma":[0.845831,0.00042917367,0.151374,0.00041044838,0.00016604338,0.0003849352,0.00037903202,0.00021114285,0.0008141761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9313221,0.058454134,0.0019161997,0.0021667352,0.005290252,0.0008505891],"domain_scores_gemma":[0.38715738,0.5783749,0.012882312,0.0162048,0.004253586,0.0011270698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06503943,0.00085886783,0.0019727892,0.0041024983,0.001289068,0.0021463546,0.0029541855,0.0024239237,0.0033270703],"category_scores_gemma":[0.45707342,0.00095401466,0.0014085002,0.0028329298,0.006265299,0.004746096,0.0036444333,0.003245041,0.000493087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009398243,0.00033809952,0.06542998,0.00064825494,0.00133376,0.0016901115,0.001903207,0.2375377,0.0021225836,0.44598213,0.00552338,0.23655109],"study_design_scores_gemma":[0.0001111583,0.0002073469,0.0066262884,0.00016259406,0.00007024694,0.0003691866,0.00029725113,0.58124244,0.0015138189,0.4077807,0.0015525656,0.000066341796],"about_ca_topic_score_codex":0.0010323845,"about_ca_topic_score_gemma":0.00080453657,"teacher_disagreement_score":0.06503943,"about_ca_system_score_codex":0.0012375889,"about_ca_system_score_gemma":0.0020221747,"threshold_uncertainty_score":0.34396553},"labels":[],"label_agreement":null},{"id":"W2621779506","doi":"10.22004/ag.econ.256743","title":"The Welfare Economics of Dismantling Dairy Quota in a Confederation of States","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treasury; Stylized fact; Common Agricultural Policy; Welfare; Supply management; Payment; European union; Compensation (psychology); Business; Economics; Public economics; Economic policy; Agricultural economics; Market economy; Finance; Political science","score_opus":0.03686643240906651,"score_gpt":0.23002007936068342,"score_spread":0.1931536469516169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621779506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5345499,0.0017798346,0.040952187,0.025446482,0.00019394992,0.00015397156,0.00030578088,0.00007598143,0.3965419],"genre_scores_gemma":[0.9867757,0.0003582489,0.0015454325,0.0012384872,0.0000438802,0.000054643755,0.000026187974,0.00000953932,0.009947805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968568,0.0015404797,0.00007022691,0.00030025197,0.00031846552,0.0009137774],"domain_scores_gemma":[0.9979285,0.0011357493,0.00024493996,0.00019253409,0.00028621667,0.00021207008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004627936,0.00029581212,0.00048813346,0.0006459779,0.0025450785,0.0047490722,0.0007213827,0.0037658878,0.00557402],"category_scores_gemma":[0.0066253464,0.0003090821,0.0006973403,0.00072534056,0.004672009,0.0030256566,0.002352615,0.0025334817,0.00025666386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069140464,0.00003625855,0.0012945211,0.000016689297,0.00001523622,0.00007149138,0.0002550238,0.004472127,0.00027294466,0.9866593,0.0014055213,0.00543172],"study_design_scores_gemma":[0.00012893253,0.00024767267,0.0077569736,0.00015649086,0.00013745179,0.00012968676,0.0019861024,0.02506295,0.0010647317,0.924113,0.03915319,0.0000627989],"about_ca_topic_score_codex":0.03689866,"about_ca_topic_score_gemma":0.03921067,"teacher_disagreement_score":0.03689866,"about_ca_system_score_codex":0.008721017,"about_ca_system_score_gemma":0.0052721305,"threshold_uncertainty_score":0.073367774},"labels":[],"label_agreement":null},{"id":"W2622625989","doi":"10.22004/ag.econ.274705","title":"An Overview of the Canadian Banking System: 1996 to 2015","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Repeal; Business; Earnings; Retail banking; Financial system; Investment banking; Finance; Economics","score_opus":0.0927381222815849,"score_gpt":0.27955630525065145,"score_spread":0.18681818296906655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622625989","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064615354,0.042733733,0.0014204857,0.007117896,0.00045652123,0.00028608856,0.79291576,0.0005528661,0.08990131],"genre_scores_gemma":[0.3240933,0.07067334,0.0051889415,0.0021501414,0.0004013286,0.0002905887,0.54145825,0.00027749105,0.055466574],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9962568,0.00011432338,0.00028000324,0.00044628605,0.0021996202,0.0007029664],"domain_scores_gemma":[0.9913406,0.00028324733,0.0008285547,0.00016659351,0.006565427,0.00081565155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013092496,0.001116406,0.0006373671,0.01910161,0.0026007672,0.0039089746,0.0014101597,0.0005879819,0.013202828],"category_scores_gemma":[0.0056079836,0.00046836067,0.00079005037,0.04850129,0.00075270305,0.0013693678,0.0012787258,0.0010256125,0.0026975898],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024663183,0.000059536353,0.17634276,0.0025395637,0.00026527507,0.00036863267,0.0018998914,0.004853274,0.0006619395,0.019735105,0.61175513,0.18127221],"study_design_scores_gemma":[0.000014498007,0.000016529004,0.4323784,0.0006447216,0.00006742357,0.000126176,0.0008705626,0.0009746469,0.00032201127,0.00048205839,0.56402624,0.0000766614],"about_ca_topic_score_codex":0.9959714,"about_ca_topic_score_gemma":0.9964142,"teacher_disagreement_score":0.08416101,"about_ca_system_score_codex":0.08416101,"about_ca_system_score_gemma":0.089793354,"threshold_uncertainty_score":0.61063373},"labels":[],"label_agreement":null},{"id":"W2625755109","doi":"10.22004/ag.econ.263492","title":"Agricultural Trade Reform, Reallocation and Technical Change: Evidence from the Canadian Prairies","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Agriculture; Agricultural economics; Census; Value (mathematics); Economics; Land use; Climate change; Geography; Business; Natural resource economics; Engineering","score_opus":0.10227079231051832,"score_gpt":0.25884543714785024,"score_spread":0.1565746448373319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625755109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924038,0.0011491916,0.00014805312,0.00051235396,0.0000041608064,0.000023955983,0.0014502925,0.0000072595785,0.0043008286],"genre_scores_gemma":[0.99585223,0.0011425752,0.00029437512,0.0001204811,0.0000048854067,0.000010244595,0.0010826885,0.000005319887,0.0014870982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817336,0.00015559405,0.0000784881,0.00034171215,0.0007745301,0.00047622903],"domain_scores_gemma":[0.9921944,0.0012805006,0.002237159,0.00078587927,0.0027603104,0.0007418421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015931398,0.00031672334,0.00055727316,0.002540333,0.0027251574,0.0018061746,0.0011835633,0.00059984135,0.002095182],"category_scores_gemma":[0.00586882,0.00034888618,0.00051321165,0.009756168,0.0026563774,0.000776563,0.0011406286,0.0008710116,0.0002096067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001477623,0.000081990016,0.9714641,0.00011568821,0.0002535326,0.00019018745,0.0036442042,0.0013225712,0.0006793686,0.0010755766,0.0012939395,0.019730983],"study_design_scores_gemma":[0.000005049291,0.000010535414,0.9965429,0.000016089412,0.00003368071,0.000010619463,0.0013282922,0.0002595726,0.000056445628,0.000059546983,0.0016665576,0.000010731093],"about_ca_topic_score_codex":0.9962967,"about_ca_topic_score_gemma":0.99858946,"teacher_disagreement_score":0.029938586,"about_ca_system_score_codex":0.029938586,"about_ca_system_score_gemma":0.029110696,"threshold_uncertainty_score":0.21722066},"labels":[],"label_agreement":null},{"id":"W2666889548","doi":"10.22004/ag.econ.253210","title":"Canada’s Changing International Trade Landscape – Opportunities, Threats and Forgone Opportunities for the Beef Industry","year":2017,"lang":"en","type":"dissertation","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"General partnership; Product (mathematics); International trade; Economy; Political science; Humanities; Welfare economics; Geography; Business; Economics; Mathematics; Art; Finance","score_opus":0.19442518908629097,"score_gpt":0.2510201036480166,"score_spread":0.05659491456172561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2666889548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54197514,0.0041597434,0.0052922587,0.0225902,0.00017801208,0.00008607191,0.0024700498,0.00009661584,0.42315185],"genre_scores_gemma":[0.9741639,0.002928942,0.002808303,0.00094953174,0.000014093736,0.000017791515,0.00048462907,0.000026793514,0.01860607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985892,0.00018476258,0.000016011147,0.00009847683,0.0005659582,0.00054548174],"domain_scores_gemma":[0.99946505,0.00007315254,0.000041304625,0.000028757806,0.0002665626,0.00012518393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091605657,0.0002598659,0.00024205275,0.0009887655,0.0064899754,0.007363124,0.00071654475,0.0008476736,0.004946575],"category_scores_gemma":[0.001093868,0.00018493949,0.00060222927,0.0027715547,0.002032153,0.0013888163,0.0010503413,0.0012071622,0.0002698818],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042485763,0.00017454081,0.12506321,0.00047286128,0.00021874208,0.0027552312,0.010720809,0.08953803,0.0053138235,0.5525648,0.075283475,0.13746955],"study_design_scores_gemma":[0.00007858871,0.00025024972,0.1683971,0.0007230841,0.00023408727,0.0006692279,0.05533668,0.061718017,0.0026672783,0.0836484,0.62589747,0.00037977405],"about_ca_topic_score_codex":0.9692858,"about_ca_topic_score_gemma":0.9898822,"teacher_disagreement_score":0.051009934,"about_ca_system_score_codex":0.051009934,"about_ca_system_score_gemma":0.049825117,"threshold_uncertainty_score":0.37010473},"labels":[],"label_agreement":null},{"id":"W2715407682","doi":"10.22004/ag.econ.60393","title":"ATB Business Sentiments Index™: Where is the Economy Going? 2010 Quarter 2","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Economics; Economy; History; Computer science; World Wide Web","score_opus":0.011370112263938035,"score_gpt":0.19189688806370514,"score_spread":0.18052677579976711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2715407682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5267909,0.0070558586,0.0003405745,0.057797205,0.0039018285,0.000057408815,0.054599613,0.00037597487,0.34908062],"genre_scores_gemma":[0.69002855,0.00597942,0.00040634078,0.0031733634,0.0009096578,0.000035226367,0.037950825,0.00010470187,0.26141185],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997937,0.000008404389,0.000007010273,0.000013690882,0.0001079865,0.00006914617],"domain_scores_gemma":[0.9992176,0.000016644397,0.0000991413,0.000010719072,0.0004484618,0.00020746644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038022417,0.00018930848,0.000136672,0.00089159765,0.0008601287,0.0025018025,0.00018715479,0.00046223597,0.012667328],"category_scores_gemma":[0.0011414378,0.00008578564,0.000094869014,0.0012765537,0.00020065355,0.0007727164,0.00041065025,0.00077792443,0.002898604],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012975746,0.000050110953,0.0995349,0.00010179527,0.000009154754,0.00012299352,0.0012725126,0.00011309977,0.00076487986,0.002292719,0.8307553,0.0648529],"study_design_scores_gemma":[0.000003787666,0.000024549636,0.66846603,0.00010354172,0.000008015791,0.000060033064,0.0039992398,0.00033421573,0.0004356759,0.00038900774,0.32615766,0.00001822682],"about_ca_topic_score_codex":0.33676055,"about_ca_topic_score_gemma":0.57310253,"teacher_disagreement_score":0.33676055,"about_ca_system_score_codex":0.0058992035,"about_ca_system_score_gemma":0.002640967,"threshold_uncertainty_score":0.6696008},"labels":[],"label_agreement":null},{"id":"W2726315945","doi":"10.22004/ag.econ.234915","title":"AGRICULTURAL GROWTH AND POVERTY REDUCTION IN THE D.R.CONGO: A GENERAL EQUILIBRIUM APPROACH","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"University of Ottawa","keywords":"Economics; Poverty reduction; General equilibrium theory; Agriculture; Poverty; Reduction (mathematics); Agricultural economics; Development economics; Macroeconomics; Economic growth; Mathematics; Biology; Ecology","score_opus":0.035950377163674614,"score_gpt":0.19574383758378044,"score_spread":0.15979346042010584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726315945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8052224,0.0010544121,0.1351215,0.0074567823,0.00006414393,0.00015379114,0.0016949316,0.00021452329,0.049017496],"genre_scores_gemma":[0.98408496,0.00057680334,0.008025794,0.000213064,0.000017777504,0.00010635177,0.00022249311,0.000026848325,0.0067258715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961495,0.00021113464,0.0000080597565,0.000055783577,0.00002271455,0.00008722895],"domain_scores_gemma":[0.9995054,0.00035037549,0.000063554355,0.000015316438,0.000036289584,0.000029105018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091458793,0.00057698804,0.0010004458,0.0009085927,0.0006563666,0.0018034213,0.0008018012,0.0011816836,0.0035285952],"category_scores_gemma":[0.0028556935,0.0004672886,0.001038041,0.0008916092,0.00075899216,0.0013389176,0.0009538121,0.0007075162,0.00018865493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003713255,0.000039874587,0.0027147282,0.000028400089,0.00004673122,0.00009938551,0.000060829785,0.9520333,0.00017731803,0.04235223,0.00045789985,0.0019522411],"study_design_scores_gemma":[0.00004326034,0.000046243113,0.0020088733,0.000017099399,0.00004400404,0.000018449422,0.00016053698,0.9666467,0.00009459215,0.029505996,0.0013964691,0.000017802517],"about_ca_topic_score_codex":0.08877455,"about_ca_topic_score_gemma":0.06949614,"teacher_disagreement_score":0.08877455,"about_ca_system_score_codex":0.0037887748,"about_ca_system_score_gemma":0.002152069,"threshold_uncertainty_score":0.1765157},"labels":[],"label_agreement":null},{"id":"W2727352473","doi":"10.22004/ag.econ.234914","title":"EFFECT OF HUMAN CAPITAL ON MAIZE PRODUCTIVITY IN GHANA: A QUANTILE REGRESSION APPROACH","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Quantile regression; Human capital; Productivity; Economics; Food security; Agricultural productivity; Agriculture; Physical capital; Stock (firearms); Agricultural economics; Developing country; Labour economics; Economic growth; Econometrics; Geography","score_opus":0.032533604115237286,"score_gpt":0.22886387369868028,"score_spread":0.196330269583443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2727352473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99337703,0.00064212695,0.002850882,0.00051397743,0.000015945587,0.000020377549,0.0013139758,0.000067158464,0.0011985223],"genre_scores_gemma":[0.99834275,0.00015020178,0.000318392,0.000024344828,0.000007927758,0.0000097762995,0.0004113259,0.000009619896,0.00072559866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901104,0.0006509904,0.00002431846,0.00012039251,0.000050269024,0.00014296979],"domain_scores_gemma":[0.99523395,0.0032808813,0.00079964777,0.000260474,0.00020189659,0.00022308096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002637553,0.0003298551,0.00043561228,0.0006833884,0.00021840858,0.0006691974,0.0005984218,0.0005266754,0.005549254],"category_scores_gemma":[0.00609186,0.00019045272,0.0008933209,0.0013737914,0.000399348,0.00042843077,0.00056220515,0.001148769,0.00061102316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006473247,0.00022291021,0.9532485,0.000054827382,0.0007160546,0.00045095838,0.0006496446,0.021253286,0.000525139,0.0020030222,0.0018280554,0.018400226],"study_design_scores_gemma":[0.000035390232,0.000266056,0.91843987,0.000055973032,0.00027062904,0.00012409186,0.001231442,0.07542817,0.0004598873,0.0012954175,0.0023703738,0.000022816599],"about_ca_topic_score_codex":0.049176596,"about_ca_topic_score_gemma":0.016405994,"teacher_disagreement_score":0.049176596,"about_ca_system_score_codex":0.00086906843,"about_ca_system_score_gemma":0.00042298442,"threshold_uncertainty_score":0.097780704},"labels":[],"label_agreement":null},{"id":"W2732386953","doi":"10.22004/ag.econ.163604","title":"2003 CAP reform: Impacts of various options on supply in French regions","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Common Agricultural Policy; Institut National de la Recherche Agronomique; Ministry of Agriculture - Saskatchewan","keywords":"Arable land; Livestock; Decoupling (probability); Agricultural science; Partial equilibrium; Geography; Economics; Business; Agricultural economics; Environmental science; Agriculture; General equilibrium theory; Forestry; Engineering","score_opus":0.024906427795057747,"score_gpt":0.2164879364935924,"score_spread":0.19158150869853466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732386953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86829334,0.0070271413,0.00084650156,0.02131188,0.00016383716,0.00010384074,0.0046323477,0.00018190028,0.09743918],"genre_scores_gemma":[0.9820187,0.0010680729,0.00030775403,0.0022082366,0.00012515356,0.000045364766,0.0011078712,0.00002145919,0.013097315],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99576145,0.0013496884,0.00009640688,0.00030114758,0.00058593863,0.0019053672],"domain_scores_gemma":[0.99598396,0.0012560823,0.0007961159,0.00013589693,0.0013166264,0.00051143224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032153868,0.0004787009,0.00077441,0.0016338362,0.0016619238,0.0061477628,0.0013403408,0.0023096402,0.011801526],"category_scores_gemma":[0.007219091,0.00035233918,0.0009954533,0.0023561688,0.0011042804,0.0012976367,0.001653673,0.00096487475,0.00070856686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006052016,0.0012732438,0.38834545,0.001535077,0.0013897087,0.0060362397,0.0071385326,0.10682774,0.008377287,0.24258971,0.082936704,0.14749824],"study_design_scores_gemma":[0.00062800525,0.001217135,0.7188121,0.00038342504,0.00046016663,0.0006399282,0.011989469,0.021394495,0.002695275,0.008654732,0.23294097,0.00018432426],"about_ca_topic_score_codex":0.45241645,"about_ca_topic_score_gemma":0.3776874,"teacher_disagreement_score":0.45241645,"about_ca_system_score_codex":0.028024934,"about_ca_system_score_gemma":0.0072327536,"threshold_uncertainty_score":0.8995662},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.011517063650036007,"score_gpt":0.17394941551158669,"score_spread":0.16243235186155067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732707090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97385037,0.00051722047,0.00012676847,0.0011462526,0.00002124002,0.000013737778,0.0005754361,0.000006727369,0.023742244],"genre_scores_gemma":[0.9959674,0.00056675787,0.0002395135,0.00030203426,0.0000051483507,0.000005228433,0.0002901191,0.000005729663,0.002618076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989592,0.000097416305,0.000039065962,0.000083009065,0.00063253246,0.00018871609],"domain_scores_gemma":[0.9974232,0.0003539586,0.00038561557,0.000061136714,0.001466877,0.00030926982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014094965,0.00015084863,0.0001701746,0.0011608861,0.0023284247,0.0014977833,0.00024505946,0.00034133554,0.0050808755],"category_scores_gemma":[0.0036292125,0.00009236562,0.0003471078,0.0019006405,0.00093258097,0.0005887072,0.0007250444,0.00041152784,0.0002344803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056367746,0.00007256509,0.78283405,0.00023173486,0.000082927516,0.00050052005,0.104455404,0.00043930535,0.0035873204,0.004836603,0.017394405,0.085001536],"study_design_scores_gemma":[0.000009571939,0.00006468319,0.89040655,0.0001419136,0.000043187687,0.00017736915,0.0894464,0.00035687655,0.0003858531,0.00027091647,0.018640146,0.000056558874],"about_ca_topic_score_codex":0.96535283,"about_ca_topic_score_gemma":0.98411405,"teacher_disagreement_score":0.034647167,"about_ca_system_score_codex":0.009358684,"about_ca_system_score_gemma":0.005711036,"threshold_uncertainty_score":0.06970239},"labels":[],"label_agreement":null},{"id":"W2736173964","doi":"10.22004/ag.econ.60425","title":"ALBERTA’S EXPORT EXPERIENCE UNDER FREE TRADE AGREEMENTS, 1989-2008: TWENTY YEARS OF FREE TRADE","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Free trade; International trade; International free trade agreement; Free trade agreement; International economics; Economics; Business","score_opus":0.04703541733457727,"score_gpt":0.28838857166337095,"score_spread":0.24135315432879367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736173964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5507958,0.13926102,0.00053257344,0.010349126,0.0015693994,0.00004840544,0.020022351,0.00018555649,0.27723578],"genre_scores_gemma":[0.693431,0.12877595,0.0008159493,0.002814746,0.00049278245,0.000024173853,0.028539388,0.00013447944,0.14497146],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99935824,0.00003310843,0.00002539533,0.000045391647,0.00042433626,0.00011354111],"domain_scores_gemma":[0.9986399,0.0002384332,0.00017914931,0.00003964314,0.00074211013,0.0001607893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008383404,0.00021648173,0.00022511887,0.0013217453,0.0016623923,0.0032412969,0.00053115643,0.00040353424,0.0055331727],"category_scores_gemma":[0.0016126711,0.00010860105,0.000185891,0.00494027,0.0009878866,0.0008983523,0.000729617,0.0006433207,0.00075260585],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006725084,0.000103020386,0.13785021,0.004545555,0.00016240864,0.005952125,0.040746484,0.0009205456,0.0030002869,0.0169034,0.3100056,0.47913784],"study_design_scores_gemma":[0.0000051595443,0.00002593327,0.210427,0.0005666044,0.00003246417,0.0004809835,0.009420829,0.00004943378,0.00042067489,0.00027129034,0.7782732,0.000026379694],"about_ca_topic_score_codex":0.72164345,"about_ca_topic_score_gemma":0.83104277,"teacher_disagreement_score":0.27835655,"about_ca_system_score_codex":0.008041989,"about_ca_system_score_gemma":0.009346896,"threshold_uncertainty_score":0.5599917},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.04029148847234976,"score_gpt":0.23924397548257387,"score_spread":0.1989524870102241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761702832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860483,0.00025718013,0.00004310053,0.00013893517,0.0000015682458,0.0000054190123,0.00006640567,4.671291e-7,0.00088211644],"genre_scores_gemma":[0.99925524,0.0004794348,0.00004309513,0.000037538983,0.0000035506828,0.000006105146,0.00003981925,8.051975e-7,0.00013432937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995895,0.00019026686,0.00003718332,0.00005801854,0.00006404458,0.00006101661],"domain_scores_gemma":[0.9947706,0.0026134741,0.0020682977,0.00014461351,0.0002497737,0.00015336045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097568735,0.00020073871,0.00020734109,0.0005871701,0.00036156664,0.00041534292,0.00019893979,0.00029437896,0.0038335158],"category_scores_gemma":[0.0040736725,0.00017009025,0.00015514367,0.0012308581,0.00082929124,0.00047388775,0.00035410977,0.00027174366,0.00032874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039944783,0.0002166823,0.94931275,0.0003838301,0.00005830079,0.0016003799,0.022863526,0.000107418964,0.0014598805,0.0004907254,0.0004433292,0.022663798],"study_design_scores_gemma":[0.000021242933,0.00015149136,0.9830835,0.00012853299,0.000033299282,0.00059313123,0.013987729,0.000105707484,0.0001727474,0.00016877017,0.0015467347,0.000007195351],"about_ca_topic_score_codex":0.010422223,"about_ca_topic_score_gemma":0.011202919,"teacher_disagreement_score":0.010422223,"about_ca_system_score_codex":0.00038755502,"about_ca_system_score_gemma":0.0003039623,"threshold_uncertainty_score":0.020723104},"labels":[],"label_agreement":null},{"id":"W2762630474","doi":"10.22004/ag.econ.291867","title":"Impact of Socioeconomic Factors on Florida Consumers' Perceptions on Use of Chemical in Locally or Regionally Produced Livestock Products","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; University of Alberta; Rutgers, The State University of New Jersey; U.S. Department of Agriculture","keywords":"Livestock; Socioeconomic status; Perception; Geography; Business; Socioeconomics; Agricultural economics; Population; Economics; Psychology; Forestry; Sociology; Demography","score_opus":0.05953095341346418,"score_gpt":0.25215301133998225,"score_spread":0.19262205792651807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762630474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991339,0.000030794432,0.000018277142,0.00007845454,0.0000012249747,0.0000037587315,0.00002429996,3.9550184e-7,0.00070898695],"genre_scores_gemma":[0.99968374,0.000057272966,0.000042458963,0.0000312695,0.0000016295115,0.000002472858,0.000023424285,2.7571218e-7,0.00015744983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995995,0.00016176613,0.000020661504,0.000027241085,0.0001225383,0.000068354624],"domain_scores_gemma":[0.99811435,0.0005985679,0.0007833291,0.000031975782,0.00025437376,0.00021749358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080259505,0.00013427615,0.00009186827,0.0004488837,0.00036854713,0.00052760536,0.00009051512,0.00019063296,0.003382261],"category_scores_gemma":[0.002316002,0.000084957144,0.00023434129,0.00023132707,0.00030880142,0.00031332148,0.00037282746,0.00027347126,0.00008848136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032570618,0.00033410412,0.9770032,0.000059103022,0.00008236595,0.00028673463,0.006116906,0.000102992104,0.002445588,0.00014188357,0.00037263954,0.012728737],"study_design_scores_gemma":[0.000004530031,0.00023269266,0.98879963,0.000020766842,0.000024808242,0.00007790831,0.009841366,0.00015983095,0.00019517959,0.000030286546,0.00060437183,0.000008658575],"about_ca_topic_score_codex":0.019602187,"about_ca_topic_score_gemma":0.042270567,"teacher_disagreement_score":0.019602187,"about_ca_system_score_codex":0.0005233046,"about_ca_system_score_gemma":0.00031998483,"threshold_uncertainty_score":0.038976192},"labels":[],"label_agreement":null},{"id":"W2766354952","doi":"10.22004/ag.econ.282758","title":"2017 Third Quarter RIN Update","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Business; Agricultural economics; History; Archaeology","score_opus":0.03647973256753869,"score_gpt":0.27574034936128355,"score_spread":0.23926061679374486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766354952","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020186333,0.020191023,0.0022167705,0.0896726,0.10059652,0.00044645698,0.29697123,0.0034937265,0.4843931],"genre_scores_gemma":[0.006402217,0.019292586,0.0022398836,0.022661284,0.019810408,0.000694921,0.1587993,0.0018855873,0.7682138],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965462,0.0003086371,0.000333217,0.00022501416,0.002109367,0.00047759907],"domain_scores_gemma":[0.97801596,0.0020702046,0.0014979218,0.0016455485,0.015076754,0.0016935583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034853034,0.0014366112,0.0014091609,0.011092866,0.001541427,0.007871462,0.0029670715,0.0038978856,0.2443832],"category_scores_gemma":[0.018080004,0.00070941384,0.0014478975,0.011475784,0.00068130257,0.0039580683,0.0029441463,0.0036164618,0.23285434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001656847,0.000009483862,0.00019146084,0.00004503958,0.000002629741,0.000009832423,0.0000040043046,0.000027950353,0.000007789415,0.00021687722,0.99024045,0.009227907],"study_design_scores_gemma":[0.000013303483,0.0000047472095,0.0015967478,0.00025751544,0.0000070359683,0.000020488815,0.000026103851,0.00005895292,0.000060560757,0.00043481615,0.9975122,0.000007514024],"about_ca_topic_score_codex":0.06965276,"about_ca_topic_score_gemma":0.07786136,"teacher_disagreement_score":0.2443832,"about_ca_system_score_codex":0.0050926283,"about_ca_system_score_gemma":0.012052525,"threshold_uncertainty_score":0.81754327},"labels":[],"label_agreement":null},{"id":"W277015030","doi":"10.22004/ag.econ.168255","title":"Wetlands Retention and Optimal Management of Waterfowl Habitat under Climate Change","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wetland; Waterfowl; Climate change; Environmental science; Pothole (geology); Land use, land-use change and forestry; Habitat; Externality; Land use; Ecology; Geography; Environmental resource management; Biology","score_opus":0.10768616581126467,"score_gpt":0.20784475898068197,"score_spread":0.1001585931694173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W277015030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.876452,0.00031337028,0.10909147,0.0022592342,0.000031336327,0.000045482517,0.00044409325,0.0000761922,0.011286841],"genre_scores_gemma":[0.9939786,0.00013234447,0.0034772141,0.000042361316,0.000007391606,0.000021261256,0.000045560064,0.00000819893,0.0022870935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986386,0.000043168162,0.0000032507892,0.000023575176,0.000010191248,0.000055895514],"domain_scores_gemma":[0.9996352,0.0001564306,0.0000887282,0.000009479543,0.00003057464,0.00007947471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050997053,0.0003283907,0.0003755485,0.00031724558,0.00044204207,0.0012009643,0.00065321545,0.0009325938,0.001988623],"category_scores_gemma":[0.0018199371,0.00033846745,0.00043858582,0.00034793903,0.0008582163,0.0012365651,0.0006864671,0.000650244,0.0001101134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003358633,0.000026600972,0.003817568,0.000012381105,0.000022770078,0.00004933534,0.000033889257,0.9824296,0.0004020346,0.010426688,0.00044936343,0.002296188],"study_design_scores_gemma":[0.00001559824,0.00003091316,0.002194077,0.000006027702,0.000014643607,0.0000151096265,0.000068572655,0.9915627,0.000114514645,0.00560344,0.0003662058,0.000008122941],"about_ca_topic_score_codex":0.06481505,"about_ca_topic_score_gemma":0.06219566,"teacher_disagreement_score":0.06481505,"about_ca_system_score_codex":0.0024487763,"about_ca_system_score_gemma":0.0024692863,"threshold_uncertainty_score":0.12887555},"labels":[],"label_agreement":null},{"id":"W2784418308","doi":"10.22004/ag.econ.274722","title":"Inequality, Frictional Assignment and Home-ownership","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Renting; Stock (firearms); Economics; Inequality; Point (geometry); Labour economics; Business; Demographic economics; Geography","score_opus":0.06646499669806118,"score_gpt":0.2247726990298103,"score_spread":0.15830770233174912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784418308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8747453,0.00389907,0.050538346,0.00461771,0.00008926651,0.00007299512,0.0012180272,0.000082084625,0.064737245],"genre_scores_gemma":[0.99624074,0.0003863809,0.0004529072,0.000032299085,0.000020149912,0.000013235799,0.000104442755,0.000003878606,0.0027459303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999607,0.00011429975,0.000014741867,0.000047595317,0.000058722955,0.00015753566],"domain_scores_gemma":[0.9977907,0.00094311236,0.0006660392,0.000120685916,0.00014285848,0.00033655137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006722708,0.00020543367,0.00034539378,0.0011687151,0.00064370246,0.0014175011,0.0006460715,0.0004468905,0.01194856],"category_scores_gemma":[0.004450568,0.00014847971,0.00023618918,0.0014618913,0.0019021734,0.0018008403,0.0012675341,0.0006644454,0.00043879994],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093855284,0.0002381436,0.1697268,0.00008706608,0.00008100142,0.0003435086,0.001157707,0.038221665,0.00016802638,0.7481241,0.007915994,0.03384208],"study_design_scores_gemma":[0.000034813253,0.00006862937,0.15475658,0.00014386381,0.000036907564,0.00020142343,0.0020705112,0.11095865,0.00011921807,0.7211199,0.010460733,0.00002876119],"about_ca_topic_score_codex":0.017276537,"about_ca_topic_score_gemma":0.013472636,"teacher_disagreement_score":0.017276537,"about_ca_system_score_codex":0.0020571023,"about_ca_system_score_gemma":0.00076841674,"threshold_uncertainty_score":0.039971888},"labels":[],"label_agreement":null},{"id":"W2785701093","doi":"10.13128/bae-7677","title":"Corporate R&D and the performance of food-processing firms: Evidence from Europe, Japan and North America","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Business; Food processing; Political science","score_opus":0.0707564936758063,"score_gpt":0.20445251558965732,"score_spread":0.13369602191385102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785701093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587375,0.0018186555,0.000115487106,0.00012033304,0.0000033510169,0.0000034940167,0.00037155946,0.0000034512623,0.0016899806],"genre_scores_gemma":[0.99740183,0.0012238779,0.000111642985,0.000045637033,0.000010964686,0.0000026246448,0.00092580664,0.0000017768789,0.00027595166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992072,0.00016315347,0.00009414374,0.00017036665,0.00019583495,0.00016932965],"domain_scores_gemma":[0.9884116,0.0023685964,0.006495744,0.00045984276,0.0016203824,0.00064378127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017528748,0.00023198882,0.00026451435,0.0024971673,0.0003467529,0.0010465607,0.0002436086,0.0003725338,0.0005774252],"category_scores_gemma":[0.0040217773,0.00014486334,0.00043351782,0.0040408764,0.0006512692,0.0007850519,0.0011156655,0.0003176175,0.00018122584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009006824,0.00005444857,0.9903674,0.000055946195,0.0001448587,0.000116306466,0.0003175607,0.00047159565,0.00024378244,0.00017212702,0.00033122898,0.0076345513],"study_design_scores_gemma":[0.000003285067,0.000023414608,0.99874,0.000015430587,0.00004884684,0.000028039549,0.00033666604,0.00012951798,0.00014144077,0.000029886483,0.0004992963,0.000004115877],"about_ca_topic_score_codex":0.03615517,"about_ca_topic_score_gemma":0.050170515,"teacher_disagreement_score":0.03615517,"about_ca_system_score_codex":0.0007354926,"about_ca_system_score_gemma":0.0006586635,"threshold_uncertainty_score":0.07188946},"labels":[],"label_agreement":null},{"id":"W2785853848","doi":"10.22004/ag.econ.264421","title":"Consumer Interest in a Natural Designation in Food Choice","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Biochemical effects in animals","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Alberta; Swine Innovation Porc","keywords":"Focus group; Food choice; Marketing; Willingness to pay; Contingent valuation; Business; Psychology; Medicine; Economics","score_opus":0.08571956935320424,"score_gpt":0.3101220805263333,"score_spread":0.22440251117312904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785853848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889236,0.00032039286,0.002080515,0.00044485493,0.000011222489,0.000041469644,0.00003613151,0.0000040566197,0.00813772],"genre_scores_gemma":[0.9984415,0.00007784491,0.00066579966,0.00010643669,0.0000055437094,0.000015987634,0.000025293082,0.0000017829396,0.0006596915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792504,0.0012745571,0.000069491005,0.00016402865,0.00043327297,0.00013362679],"domain_scores_gemma":[0.9920602,0.0049386206,0.0017240323,0.00039037905,0.00054690783,0.00033986208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038931412,0.00015277648,0.00015521588,0.00045045427,0.0008441653,0.0019844405,0.000255022,0.0006642324,0.003597672],"category_scores_gemma":[0.0073328274,0.00017887303,0.00038424518,0.00049539027,0.001986179,0.0010508312,0.00076125475,0.0006419451,0.00014559369],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015390159,0.0007525448,0.8635943,0.00039297633,0.0002183661,0.0010927087,0.05662741,0.0007226435,0.006829775,0.012820932,0.00063987443,0.054769535],"study_design_scores_gemma":[0.000043900676,0.00032870227,0.95985174,0.00009471394,0.00005504252,0.00049161783,0.02509854,0.00092577835,0.0008723572,0.0050985357,0.007062298,0.00007674463],"about_ca_topic_score_codex":0.022021832,"about_ca_topic_score_gemma":0.03669169,"teacher_disagreement_score":0.022021832,"about_ca_system_score_codex":0.0017722228,"about_ca_system_score_gemma":0.0008288492,"threshold_uncertainty_score":0.0437873},"labels":[],"label_agreement":null},{"id":"W2787246732","doi":"10.22004/ag.econ.264423","title":"Trust, Fairness and Acceptance of Food Technologies","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Explanatory power; Marketing; Quality (philosophy); Supply chain; Preference; Business; Purchasing; Ordered logit; Perception; Psychology; Economics; Microeconomics; Statistics; Mathematics","score_opus":0.026393428833884736,"score_gpt":0.22533578879146673,"score_spread":0.198942359957582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787246732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922891,0.00011438059,0.0010686405,0.00027462433,0.000006460787,0.000010611066,0.00002312581,0.0000035430091,0.0062093846],"genre_scores_gemma":[0.99972016,0.000021523687,0.00008894458,0.000013453927,0.0000021750718,0.0000025119798,0.000006321498,6.57687e-7,0.00014436925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700516,0.001463242,0.00017627486,0.00016867362,0.0007957854,0.00039087294],"domain_scores_gemma":[0.9712317,0.012208821,0.011275184,0.0012538465,0.002116534,0.0019138075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003829521,0.00016249607,0.00021300674,0.0006306331,0.00080789917,0.002273239,0.00018991469,0.00064488756,0.0025304998],"category_scores_gemma":[0.023353087,0.00012966582,0.00030150643,0.0004882365,0.0012459826,0.0011049196,0.0009495323,0.00076345523,0.0001469421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056659523,0.00058314734,0.9325613,0.000108206834,0.00019763643,0.0002474641,0.009683401,0.0016944624,0.0013211829,0.0074334303,0.00040027773,0.045202885],"study_design_scores_gemma":[0.000029271003,0.00037315208,0.9764311,0.00008390047,0.000050814204,0.00015896387,0.008269084,0.004417131,0.00066620565,0.0072837817,0.00218574,0.000050944534],"about_ca_topic_score_codex":0.0058375057,"about_ca_topic_score_gemma":0.004809556,"teacher_disagreement_score":0.0058375057,"about_ca_system_score_codex":0.0013757823,"about_ca_system_score_gemma":0.00070288207,"threshold_uncertainty_score":0.020252705},"labels":[],"label_agreement":null},{"id":"W2808149277","doi":"10.22004/ag.econ.273477","title":"Assessing farmers’ preferences for the future of the Common Agricultural Policy: insights from of a discrete choice experiment in Germany","year":2018,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Direct Payments; Common Agricultural Policy; Payment; Discrete choice; Public economics; Intervention (counseling); Agricultural policy; Mixed logit; German; Quarter (Canadian coin); Welfare; Economics; Agriculture; Latent class model; Preference; Actuarial science; Business; Agricultural economics; European union; Logistic regression; Econometrics; Economic policy; Geography; Microeconomics; Statistics; Finance","score_opus":0.10681356396392336,"score_gpt":0.2695473742319264,"score_spread":0.16273381026800302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808149277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994454,0.000008024655,0.00024755337,0.00002731078,8.377877e-7,0.000016685146,0.000016486074,9.122165e-7,0.00023688439],"genre_scores_gemma":[0.99909747,0.000022463004,0.00053720956,0.000023166378,0.0000013060967,0.00003071348,0.000025190024,6.525475e-7,0.00026191742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99630666,0.0029178218,0.00009520414,0.00021832321,0.00021806206,0.00024391116],"domain_scores_gemma":[0.98496497,0.012757593,0.0013349463,0.00051732245,0.00013305835,0.0002921955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008799289,0.00040862372,0.00053364807,0.00033687093,0.0004967187,0.0016678022,0.0003902337,0.0009610544,0.0016466822],"category_scores_gemma":[0.009393048,0.00027451094,0.00040037837,0.00045798774,0.0016138816,0.001033557,0.0005893228,0.00061692775,0.00014903815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03703754,0.021943828,0.54294324,0.0009824934,0.0014812179,0.0028839372,0.038909506,0.10749559,0.11077704,0.046642408,0.0018612526,0.08704198],"study_design_scores_gemma":[0.002969379,0.023638895,0.75909036,0.00020792676,0.0006292122,0.00031709307,0.027278375,0.12730236,0.030488933,0.01930208,0.00832366,0.00045161808],"about_ca_topic_score_codex":0.007944147,"about_ca_topic_score_gemma":0.008249012,"teacher_disagreement_score":0.008799289,"about_ca_system_score_codex":0.0018225851,"about_ca_system_score_gemma":0.0007282718,"threshold_uncertainty_score":0.04653561},"labels":[],"label_agreement":null},{"id":"W2820742755","doi":"10.22004/ag.econ.256824","title":"U.S. Feeder Cattle Prices: Effects of Finance and Risk, Cow-Calf and Feedlot Technology, and Mexican and Canadian Feeder Imports","year":2000,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feedlot; Feeder cattle; Cow-calf; Agricultural economics; Agricultural science; Business; Economics; Animal science; Environmental science; Biology; Herd","score_opus":0.009846369643821068,"score_gpt":0.17412946056795348,"score_spread":0.1642830909241324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2820742755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90019304,0.0055019893,0.00048416905,0.007996298,0.00013625225,0.000032403666,0.057568245,0.00017524476,0.027912358],"genre_scores_gemma":[0.9513754,0.0025273676,0.00020370485,0.00042658424,0.00003334476,0.000014741982,0.018184321,0.000037219954,0.027197255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998098,0.000021627926,0.0000074128225,0.00002253833,0.00004859077,0.00009004592],"domain_scores_gemma":[0.99843127,0.00037681148,0.00035816553,0.000043427623,0.0004608956,0.00032950312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038461643,0.00031428182,0.0004489203,0.00064482214,0.00076506805,0.0016777881,0.00047144436,0.00049908814,0.016317457],"category_scores_gemma":[0.0021078375,0.00019573758,0.00054388266,0.0018772432,0.00039750405,0.000497227,0.00046238952,0.00081631873,0.0010985882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012418691,0.00026071447,0.8393401,0.00012360758,0.00038541763,0.0005327166,0.00071429805,0.0061833826,0.000665806,0.005379016,0.11497713,0.030195974],"study_design_scores_gemma":[0.000042719337,0.00005766541,0.9819487,0.00005063254,0.00024804272,0.00009746767,0.0014212943,0.00249251,0.00037175266,0.00083135895,0.012416698,0.000021011589],"about_ca_topic_score_codex":0.93387353,"about_ca_topic_score_gemma":0.9408016,"teacher_disagreement_score":0.066126466,"about_ca_system_score_codex":0.004378086,"about_ca_system_score_gemma":0.0038184568,"threshold_uncertainty_score":0.13303173},"labels":[],"label_agreement":null},{"id":"W2894481398","doi":"10.22004/ag.econ.274727","title":"Evidence from an investigation into collusion and corruption in Quebec","year":2018,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Collusion; Procurement; Cartel; Bidding; Language change; Business; Common value auction; Deterrence theory; Industrial organization; Economics; Microeconomics; Marketing; Political science","score_opus":0.1678173405164471,"score_gpt":0.3727637045966602,"score_spread":0.2049463640802131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894481398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854556,0.00029519133,0.00037670345,0.0013486384,0.000008259705,0.00004015071,0.0005518699,0.00000814587,0.011915486],"genre_scores_gemma":[0.9972109,0.00012337147,0.00013120771,0.0001875417,0.0000056376994,0.000008747616,0.00019293807,0.0000027550916,0.0021369366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973579,0.00070295826,0.00008178168,0.00025259427,0.00088010344,0.00072466413],"domain_scores_gemma":[0.97155344,0.0072076907,0.008851081,0.001532497,0.008656908,0.0021983387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025000873,0.00024713363,0.00032412176,0.0014093247,0.004281775,0.0016644694,0.0009450327,0.00084448187,0.0042109047],"category_scores_gemma":[0.010442075,0.00025603914,0.00019636942,0.0034351887,0.0022659397,0.000557415,0.0009893323,0.000969268,0.0002634967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021920237,0.0002230113,0.9638318,0.000066440254,0.000116181924,0.0005827824,0.0069132647,0.0010314448,0.0006644485,0.0036352482,0.0058384575,0.016877737],"study_design_scores_gemma":[0.000023060036,0.00005705547,0.98555493,0.00004276564,0.00003350726,0.00007562739,0.0058754887,0.0021202138,0.0002759192,0.00026394965,0.00565317,0.00002425306],"about_ca_topic_score_codex":0.9747993,"about_ca_topic_score_gemma":0.9850722,"teacher_disagreement_score":0.025200725,"about_ca_system_score_codex":0.023712559,"about_ca_system_score_gemma":0.015038906,"threshold_uncertainty_score":0.1720475},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.14067640406533527,"score_gpt":0.2977553005772654,"score_spread":0.15707889651193013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899084151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98848814,0.00023821706,0.00016047452,0.00011275545,0.000007738036,0.000048632326,0.009100964,0.0000039425504,0.00183906],"genre_scores_gemma":[0.9938804,0.00033340557,0.00047702086,0.00004106549,0.000009099041,0.000068736736,0.0046715382,0.0000017265703,0.00051699765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995449,0.00017710013,0.00006243429,0.000040374474,0.00008534748,0.00008981531],"domain_scores_gemma":[0.99903786,0.0002052764,0.00040995455,0.000038671988,0.0001627518,0.00014549434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010480089,0.00024178013,0.00019378345,0.0020867893,0.0003394474,0.0008606349,0.0002866291,0.00015163691,0.001554424],"category_scores_gemma":[0.0019320374,0.00012737224,0.00023082693,0.0027098092,0.00017196625,0.00056679116,0.0007388266,0.0002956934,0.00027517756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006745817,0.00011808832,0.9873503,0.00009350254,0.00006579697,0.00019982374,0.0008504678,0.0004761783,0.000092575945,0.00032339184,0.0017658372,0.008596456],"study_design_scores_gemma":[0.0000071716418,0.000047776648,0.98977697,0.00011850054,0.000031042106,0.0001521078,0.0048208893,0.0007269083,0.00019477496,0.00015459482,0.003959224,0.0000101228425],"about_ca_topic_score_codex":0.021284744,"about_ca_topic_score_gemma":0.020663707,"teacher_disagreement_score":0.021284744,"about_ca_system_score_codex":0.00048688825,"about_ca_system_score_gemma":0.0006930547,"threshold_uncertainty_score":0.04232174},"labels":[],"label_agreement":null},{"id":"W2903950553","doi":"10.22004/ag.econ.274719","title":"Have Middle-Class Earnings Risen in Canada? A Statistical Inference Approach","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Statistical inference; Inference; Econometrics; Economics; Demographic economics; Distribution (mathematics); Middle class; Class (philosophy); Statistics; Mathematics; Accounting; Computer science","score_opus":0.10571632852508865,"score_gpt":0.31396388457518254,"score_spread":0.20824755605009387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903950553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7865268,0.012655237,0.10234739,0.033830605,0.00062256685,0.00031141704,0.014124574,0.00081020925,0.04877114],"genre_scores_gemma":[0.9828487,0.0013369577,0.009050955,0.00090402097,0.00015645688,0.00006136149,0.0016875506,0.00004028981,0.003913733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996075,0.0009920963,0.00016756002,0.0009954415,0.0010515867,0.0007183306],"domain_scores_gemma":[0.9915168,0.004439137,0.0011607253,0.0007367831,0.001747744,0.00039873252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010224799,0.00039418406,0.0008919095,0.0029915646,0.002480589,0.0025473249,0.0024805334,0.00072990457,0.00344825],"category_scores_gemma":[0.026680639,0.00019644377,0.0012695332,0.004965724,0.0032712533,0.0014914279,0.0014364047,0.0023369074,0.00018156605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021807928,0.00008652246,0.6737349,0.00021707396,0.00080988696,0.00063306134,0.0037907613,0.016799152,0.0004162837,0.15727802,0.016062966,0.1299534],"study_design_scores_gemma":[0.00005863431,0.000110707915,0.73625743,0.00039889605,0.0005498498,0.00014916642,0.007473202,0.14144605,0.00107089,0.08019716,0.032140262,0.00014765355],"about_ca_topic_score_codex":0.98063755,"about_ca_topic_score_gemma":0.95536673,"teacher_disagreement_score":0.01936245,"about_ca_system_score_codex":0.016446657,"about_ca_system_score_gemma":0.023780001,"threshold_uncertainty_score":0.11932939},"labels":[],"label_agreement":null},{"id":"W2906889215","doi":"10.22004/ag.econ.274369","title":"The economic effect of genomic technology on the forestry industry","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Genome British Columbia; University of Alberta; Alberta Innovates; Genome Alberta; Alberta Agriculture and Forestry; Forest Resource Improvement Association of Alberta; Genome Canada","keywords":"Forest product; Reforestation; Business; Tree breeding; Resource (disambiguation); Natural resource economics; Investment (military); Product (mathematics); Environmental resource management; Agricultural economics; Forestry; Geography; Economics; Forest management; Ecology; Biology; Computer science; Political science","score_opus":0.011820346320202239,"score_gpt":0.22130362798422737,"score_spread":0.20948328166402513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906889215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9289024,0.0017711807,0.009165375,0.004616692,0.00004016751,0.00006141273,0.0006843582,0.00006221776,0.05469616],"genre_scores_gemma":[0.99290377,0.0009479544,0.0025707397,0.00021513435,0.0000116142255,0.000012093723,0.00027586444,0.000007417858,0.0030554428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989128,0.00048503885,0.000016274422,0.00005633859,0.0003283205,0.00020125374],"domain_scores_gemma":[0.99584454,0.0029092,0.00047186247,0.00016932646,0.00041457836,0.00019052472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001967785,0.00037043268,0.0002302787,0.0008646206,0.0007185014,0.0024123518,0.00051850826,0.00075970276,0.005913272],"category_scores_gemma":[0.0045962934,0.0001934436,0.00044168616,0.0018335223,0.0018479079,0.0017254222,0.0010708781,0.0010009744,0.0003572614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010570597,0.0006049269,0.34555322,0.0003937449,0.00013829052,0.0014842062,0.0005345563,0.3676667,0.0074839005,0.08094487,0.0063465093,0.18779203],"study_design_scores_gemma":[0.00017712968,0.0012695248,0.45708936,0.000566675,0.0005071872,0.0007514566,0.0075099776,0.36582592,0.010475446,0.11151126,0.04412128,0.00019480207],"about_ca_topic_score_codex":0.06863346,"about_ca_topic_score_gemma":0.10093117,"teacher_disagreement_score":0.06863346,"about_ca_system_score_codex":0.0063455864,"about_ca_system_score_gemma":0.004451565,"threshold_uncertainty_score":0.13646793},"labels":[],"label_agreement":null},{"id":"W2910225497","doi":"10.22004/ag.econ.274025","title":"Changes in spatial and temporal substitution patterns of hunting activities caused by Chronic Wasting Disease (CWD): Evidence from Alberta, Canada","year":2018,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chronic wasting disease; Wasting; Substitution (logic); Geography; Disease; Medicine; Internal medicine; Computer science","score_opus":0.022042087259981642,"score_gpt":0.21433654914937594,"score_spread":0.1922944618893943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910225497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919646,0.0023345938,0.00012196473,0.0002769446,0.0000144813,0.00002660244,0.0034631216,0.0000048978513,0.0017929698],"genre_scores_gemma":[0.9951015,0.0013334068,0.00019268239,0.00009938352,0.000006998298,0.000010548497,0.0022637055,0.000003917379,0.0009879043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832064,0.00029870245,0.00013124252,0.00023554005,0.00048655111,0.0005272832],"domain_scores_gemma":[0.9935049,0.0010527485,0.001533788,0.00040653936,0.0025933757,0.000908754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018507492,0.00043667684,0.0004506009,0.0024257263,0.0017625828,0.0016680785,0.0019881905,0.0007182874,0.0021491558],"category_scores_gemma":[0.0042784424,0.00039453123,0.00072356244,0.0073437863,0.0018259648,0.00039848045,0.00091764826,0.00060474593,0.00015807374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031951332,0.00005755188,0.9911184,0.000078819234,0.00030628644,0.00015603186,0.0008475733,0.0003594659,0.00013528724,0.00019138622,0.001115518,0.00531411],"study_design_scores_gemma":[0.000012671409,0.000017103379,0.99809915,0.000039551756,0.00009573501,0.000029540688,0.0010419774,0.00015057196,0.000028734532,0.000028148457,0.00044663213,0.000010222327],"about_ca_topic_score_codex":0.99633956,"about_ca_topic_score_gemma":0.9973584,"teacher_disagreement_score":0.017002812,"about_ca_system_score_codex":0.017002812,"about_ca_system_score_gemma":0.015793417,"threshold_uncertainty_score":0.12336463},"labels":[],"label_agreement":null},{"id":"W2915055689","doi":"10.22004/ag.econ.276025","title":"Assessing the effects of premium subsidies on crop insurance demand: An analysis for grain production in Southern Brazil","year":2018,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Crop insurance; Hectare; Agricultural economics; Crop; Production (economics); Panel data; Economics; Business; Agricultural science; Agriculture; Geography; Environmental science; Forestry; Econometrics","score_opus":0.026227719714492125,"score_gpt":0.26884489240301446,"score_spread":0.24261717268852234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915055689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902356,0.000063012,0.00011662592,0.00009573982,7.248377e-7,0.0000061403434,0.00033889816,0.0000033624174,0.00035186537],"genre_scores_gemma":[0.9992912,0.000054282133,0.0000870107,0.000009491439,0.0000012188847,0.000004960225,0.00037287254,0.00000180359,0.0001771795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996798,0.00009325479,0.000019880423,0.000075964555,0.00004423897,0.00008690156],"domain_scores_gemma":[0.99797994,0.0010733049,0.00048257812,0.0001353012,0.00015882739,0.00017012609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073140056,0.000252885,0.0003602607,0.0005419646,0.00026806133,0.0005630476,0.00039614315,0.00038378115,0.0015324667],"category_scores_gemma":[0.0029612419,0.00021522833,0.0009233315,0.0008390061,0.00043813957,0.00037587318,0.0005590908,0.00042362968,0.00015791407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105267456,0.00011762218,0.98781246,0.000059734983,0.00014077667,0.00041597514,0.001069135,0.004121773,0.0020067238,0.0007676377,0.00020403476,0.00317882],"study_design_scores_gemma":[0.000012476185,0.00012648937,0.984874,0.000021299715,0.000089017354,0.00012269444,0.0017046322,0.011362627,0.00036728155,0.00022943989,0.00107709,0.000012997551],"about_ca_topic_score_codex":0.19900174,"about_ca_topic_score_gemma":0.15655302,"teacher_disagreement_score":0.19900174,"about_ca_system_score_codex":0.0014765286,"about_ca_system_score_gemma":0.0008041054,"threshold_uncertainty_score":0.3956868},"labels":[],"label_agreement":null},{"id":"W2918058193","doi":"10.22004/ag.econ.283272","title":"2016 1st Quarter RIN Update","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Business; History; Archaeology","score_opus":0.02939306815967152,"score_gpt":0.27555880509252817,"score_spread":0.24616573693285665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918058193","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032009522,0.090390846,0.0021501596,0.115451805,0.21006504,0.000418799,0.1888956,0.0026419456,0.38678488],"genre_scores_gemma":[0.010341536,0.08471439,0.0028698505,0.028147915,0.061609548,0.00046502863,0.13501738,0.0010663418,0.675768],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983499,0.00014864888,0.00024606957,0.00012046669,0.0008987697,0.0002361029],"domain_scores_gemma":[0.98541623,0.0015058026,0.0017225859,0.00084159715,0.009180879,0.0013328375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022298202,0.0016144587,0.0012663738,0.01184017,0.00084204995,0.0048087346,0.001948238,0.0029956403,0.16066101],"category_scores_gemma":[0.014212147,0.000600646,0.0013531226,0.008776134,0.00044824337,0.0035922506,0.002256475,0.0024345985,0.12491566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002678418,0.00001588297,0.0003361378,0.00010710924,0.000004063883,0.000016947515,0.000003913475,0.000048355512,0.000013758431,0.00014048503,0.9735339,0.025752693],"study_design_scores_gemma":[0.00001753734,0.000010566959,0.0027663172,0.0004897573,0.0000106202515,0.00004202927,0.000019949277,0.00006153812,0.000059571055,0.00034889329,0.9961655,0.000007729574],"about_ca_topic_score_codex":0.030171206,"about_ca_topic_score_gemma":0.044360943,"teacher_disagreement_score":0.16066101,"about_ca_system_score_codex":0.0028769688,"about_ca_system_score_gemma":0.005452304,"threshold_uncertainty_score":0.5374646},"labels":[],"label_agreement":null},{"id":"W2920796068","doi":"10.22004/ag.econ.274274","title":"Do Canadian Wheat Grades Weight Down Trade? A Gravity Analysis","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gravity model of trade; Environmental science; Agricultural economics; Economics; International trade","score_opus":0.02334548707540649,"score_gpt":0.20930560143421859,"score_spread":0.1859601143588121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920796068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8939684,0.0028253458,0.0010654043,0.008568867,0.0000995868,0.000061442704,0.008040756,0.000086725646,0.08528345],"genre_scores_gemma":[0.98729867,0.00089507335,0.00023911602,0.00018077278,0.000022718737,0.0000049043347,0.0012776586,0.000015718824,0.010065351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935085,0.00004798679,0.000018917548,0.000078484,0.0002464375,0.0002572822],"domain_scores_gemma":[0.9973648,0.00039743277,0.00031149504,0.000119132135,0.0014571806,0.00034989745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073497725,0.00042592498,0.0003398627,0.0033380839,0.0018465372,0.0023655377,0.0007709842,0.0005213713,0.010155709],"category_scores_gemma":[0.004950839,0.00021555467,0.000885596,0.0065212385,0.0012186755,0.0010758974,0.0005838811,0.0007225554,0.0005602844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038999974,0.00008926336,0.80079454,0.00012470479,0.00029207292,0.00038159356,0.0019627295,0.009280399,0.0008482991,0.06731462,0.037483867,0.08103789],"study_design_scores_gemma":[0.000017840808,0.000026716969,0.96318936,0.000046416575,0.0002038043,0.000040379295,0.0032378647,0.005822748,0.0002991835,0.005421498,0.021654492,0.00003969845],"about_ca_topic_score_codex":0.991734,"about_ca_topic_score_gemma":0.99431676,"teacher_disagreement_score":0.026402688,"about_ca_system_score_codex":0.026402688,"about_ca_system_score_gemma":0.018590312,"threshold_uncertainty_score":0.19156581},"labels":[],"label_agreement":null},{"id":"W2921011143","doi":"10.22004/ag.econ.277275","title":"Farmers Willingness to Share Data: A Study of Saskatchewan Farmers","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Business; Survey data collection; Big data; Value (mathematics); Agriculture; Acknowledgement; Marketing; Government (linguistics); Finance; Agricultural science; Economics; Statistics; Computer science; Geography","score_opus":0.0946509469463483,"score_gpt":0.28663765766950444,"score_spread":0.19198671072315615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921011143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99898714,0.00001497521,0.000039148992,0.00019178654,0.0000015255046,0.000033233115,0.00013213631,0.0000014536449,0.00059870747],"genre_scores_gemma":[0.9974738,0.00009088555,0.00013657194,0.00043928975,0.0000020412033,0.000106184656,0.00018472983,0.000004907485,0.0015615982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981433,0.0005962013,0.00011845174,0.00030824653,0.00026811994,0.0005657859],"domain_scores_gemma":[0.9938778,0.002215154,0.0010872821,0.0004191994,0.001074033,0.0013265902],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0025996643,0.00049813424,0.00055312336,0.0014421468,0.005285529,0.0023892007,0.0011994336,0.0013686137,0.004994075],"category_scores_gemma":[0.004260235,0.00076973333,0.0005807603,0.0038835707,0.0022730832,0.0019018286,0.0021078165,0.001750385,0.0010887448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005065827,0.0018457266,0.89259523,0.00008846131,0.00013311402,0.0018314502,0.09012957,0.00024478562,0.0030841818,0.0005332732,0.0014615513,0.0075459667],"study_design_scores_gemma":[0.000047930287,0.0005527778,0.74313384,0.00006780611,0.00004406723,0.00019941453,0.2528594,0.0006401623,0.0002547896,0.0003517156,0.0017705394,0.000077421864],"about_ca_topic_score_codex":0.603071,"about_ca_topic_score_gemma":0.79316723,"teacher_disagreement_score":0.9988006,"about_ca_system_score_codex":0.011325996,"about_ca_system_score_gemma":0.0088700345,"threshold_uncertainty_score":0.7985332},"labels":[],"label_agreement":null},{"id":"W2921235081","doi":"10.22004/ag.econ.273055","title":"Agricultural Productivity Growth in Canada: Concepts and Evidences","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agriculture; Agricultural economics; Agricultural productivity; Business; Natural resource economics; Economics; Economic geography; International trade; Geography; Economic growth","score_opus":0.025679244820574217,"score_gpt":0.19590823906263533,"score_spread":0.17022899424206112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921235081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61490995,0.16318667,0.0034540521,0.033293605,0.00019434335,0.00008973956,0.027335616,0.00025456247,0.15728141],"genre_scores_gemma":[0.9628324,0.029825395,0.0008580824,0.00063494465,0.00009822092,0.000009870049,0.002661432,0.00002070755,0.0030588256],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985789,0.00007149367,0.000071832175,0.00022619721,0.0006792595,0.00037233732],"domain_scores_gemma":[0.9817124,0.0054661594,0.0020648723,0.00059506984,0.009075952,0.0010855155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018321284,0.0005476398,0.00055593863,0.006154202,0.0024084821,0.00384702,0.0012476506,0.00067778275,0.0038101315],"category_scores_gemma":[0.011811468,0.00025355883,0.00050103985,0.017352264,0.002796284,0.0017121694,0.0013036049,0.0014822412,0.00022302604],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049418974,0.00020678861,0.6467756,0.0013466697,0.0005865487,0.00066014583,0.0026512772,0.007523136,0.0003632702,0.13491775,0.038894426,0.16558017],"study_design_scores_gemma":[0.00006577818,0.000040437586,0.8817318,0.0013035269,0.0005926108,0.00021689241,0.0048391437,0.007591081,0.0007401499,0.02071313,0.08205083,0.00011458654],"about_ca_topic_score_codex":0.99245256,"about_ca_topic_score_gemma":0.9934907,"teacher_disagreement_score":0.04146479,"about_ca_system_score_codex":0.04146479,"about_ca_system_score_gemma":0.05622916,"threshold_uncertainty_score":0.3008495},"labels":[],"label_agreement":null},{"id":"W2921464632","doi":"10.22004/ag.econ.250206","title":"Le secteur laitier français est-il compétitif face à la concurrence européenne et mondiale ?","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Art; Humanities","score_opus":0.0257580169854665,"score_gpt":0.22741787688289525,"score_spread":0.20165985989742874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921464632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6272097,0.012637018,0.0054230276,0.04048454,0.00030051413,0.000031758405,0.00046770382,0.00009614751,0.31334952],"genre_scores_gemma":[0.97365427,0.0027090919,0.0007177608,0.0014182068,0.00005949093,0.000012514556,0.00012260085,0.0000306177,0.021275405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99855846,0.0003702523,0.000043162032,0.0002197198,0.00025981673,0.00054849265],"domain_scores_gemma":[0.9981845,0.00037024496,0.00031684618,0.000120142715,0.0005499525,0.00045826362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021139998,0.0002863469,0.00030250612,0.0008933942,0.0021364538,0.008317052,0.00055135734,0.0011947555,0.01199646],"category_scores_gemma":[0.0024405539,0.00021137767,0.00046373715,0.0018864053,0.0020192359,0.0026180209,0.0016360842,0.0010719177,0.00086399924],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005190381,0.000109824585,0.34176812,0.00055697514,0.00044996012,0.0020630993,0.02572541,0.0031233693,0.008202798,0.39898285,0.019806877,0.19869174],"study_design_scores_gemma":[0.000036549132,0.00017990543,0.4299184,0.0007686293,0.00013216978,0.0008166889,0.050534245,0.0015257159,0.0011193973,0.038052153,0.47678202,0.00013411169],"about_ca_topic_score_codex":0.13940912,"about_ca_topic_score_gemma":0.15564938,"teacher_disagreement_score":0.13940912,"about_ca_system_score_codex":0.006706792,"about_ca_system_score_gemma":0.0047476934,"threshold_uncertainty_score":0.27719533},"labels":[],"label_agreement":null},{"id":"W2921593934","doi":"","title":"The Variety Effects of Trade Liberalization","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trademark; Intellectual property; Variety (cybernetics); Free trade; International trade; Per capita; Consumption (sociology); Liberalization; Business; Trade barrier; Economics; International economics; Political science; Law; Statistics; Market economy","score_opus":0.03167127550775678,"score_gpt":0.18474999670467102,"score_spread":0.15307872119691424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921593934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370276,0.002973148,0.0007194253,0.0017720592,0.0000834055,0.000019590409,0.0006960515,0.000070810514,0.056637894],"genre_scores_gemma":[0.99827266,0.00028199286,0.000040908035,0.00007870197,0.000048383776,0.0000031001503,0.000114630115,0.000007679988,0.0011518681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894875,0.00040084656,0.000051736373,0.00020202035,0.0001711721,0.0002256401],"domain_scores_gemma":[0.9845204,0.008196182,0.0043289405,0.0008207395,0.00070509134,0.0014285354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010418503,0.00024722345,0.00037933682,0.0013242624,0.00064946234,0.0024964463,0.00037627702,0.00062985555,0.035443995],"category_scores_gemma":[0.00872394,0.00011288066,0.00062767754,0.0018895558,0.0017715952,0.001640543,0.0023831916,0.0014051066,0.0009757385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063992366,0.0012159006,0.7332303,0.0007641723,0.0012332699,0.002747836,0.002896122,0.025265442,0.005523897,0.11424798,0.011506246,0.0949696],"study_design_scores_gemma":[0.00037549372,0.0006678888,0.9180965,0.00020923442,0.0006439888,0.00056783354,0.0041761887,0.0047743726,0.0022042992,0.048678767,0.019537298,0.000068106274],"about_ca_topic_score_codex":0.004423783,"about_ca_topic_score_gemma":0.002556727,"teacher_disagreement_score":0.035443995,"about_ca_system_score_codex":0.0013128602,"about_ca_system_score_gemma":0.00047166395,"threshold_uncertainty_score":0.11857194},"labels":[],"label_agreement":null},{"id":"W2921714509","doi":"","title":"Sectoral Targets as a Means to Reduce Global Carbon Emissions","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commit; Kyoto Protocol; Greenhouse gas; Developing country; Negotiation; International trade; Climate change; Clean Development Mechanism; International economics; Developed country; Montreal Protocol; Economics; Business; Development economics; Political science; Economic growth; Geography; Population; Law","score_opus":0.10858745915171387,"score_gpt":0.2792836481015676,"score_spread":0.17069618894985372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921714509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5240742,0.005174446,0.13649291,0.02878813,0.0022875918,0.00034215173,0.0115554,0.0027634401,0.28852183],"genre_scores_gemma":[0.98476124,0.000576737,0.0069594504,0.00048517514,0.00009064139,0.000079445505,0.00055779103,0.00007506227,0.0064144707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99668735,0.0016443536,0.00013725206,0.00029603363,0.0009933551,0.00024168241],"domain_scores_gemma":[0.9923614,0.0032538068,0.0019276993,0.00073034683,0.0013202506,0.00040652926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035186922,0.00046781873,0.0004109825,0.0011244521,0.0003603914,0.0025964996,0.00061328715,0.0010414147,0.009378736],"category_scores_gemma":[0.013992702,0.00022676862,0.0002799151,0.0026902913,0.0004995796,0.0013903632,0.0010447144,0.0012386173,0.0010759583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026963437,0.0014988617,0.05518158,0.0012797064,0.0005450676,0.00020057673,0.0009607547,0.16838309,0.0061649415,0.42784896,0.06845318,0.2667869],"study_design_scores_gemma":[0.000476201,0.0010656652,0.09421701,0.00039570234,0.0005502749,0.00018965539,0.0018363992,0.25862336,0.018880753,0.5065812,0.1170368,0.00014688916],"about_ca_topic_score_codex":0.0059146257,"about_ca_topic_score_gemma":0.010192107,"teacher_disagreement_score":0.009378736,"about_ca_system_score_codex":0.0026950508,"about_ca_system_score_gemma":0.0033497214,"threshold_uncertainty_score":0.03137499},"labels":[],"label_agreement":null},{"id":"W2921909430","doi":"","title":"Preferential Trade, Mis-invoicing and Capital Flight","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Invoice; Business; Tariff; Currency; International economics; Balance of payments; Capital (architecture); Monetary economics; Exchange rate; Incentive; Capital flight; Finance; International trade; Commerce; Economics; Market economy","score_opus":0.042972216999377186,"score_gpt":0.19466113770876345,"score_spread":0.15168892070938628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921909430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98636603,0.00032315546,0.0053451317,0.00040202506,0.000013315799,0.00001841027,0.000093319395,0.000020286012,0.007418352],"genre_scores_gemma":[0.9991629,0.00008801147,0.0002398696,0.000021556274,0.0000050542394,0.0000016757818,0.000018551205,0.0000018181352,0.00046058258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883217,0.00034084538,0.00012259369,0.00015712842,0.00016062851,0.00038655565],"domain_scores_gemma":[0.9714688,0.011975388,0.012810662,0.0018522372,0.0010813203,0.00081156584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028030002,0.0001987794,0.00034871593,0.00072795607,0.0006271698,0.0019915798,0.0003280775,0.0007026333,0.0053814454],"category_scores_gemma":[0.016627738,0.00022183543,0.0003050888,0.000807519,0.0017553989,0.0030355498,0.0009799439,0.0011595599,0.00034304237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001808395,0.0004316502,0.72644454,0.0002557838,0.00020566725,0.00142148,0.0013183728,0.07932508,0.0048913057,0.12534663,0.0023798433,0.05617122],"study_design_scores_gemma":[0.00020338595,0.00071948353,0.55501926,0.00015531183,0.00025764122,0.002793465,0.004213375,0.1460106,0.01146075,0.26974878,0.009256103,0.00016182731],"about_ca_topic_score_codex":0.003602201,"about_ca_topic_score_gemma":0.003712976,"teacher_disagreement_score":0.0053814454,"about_ca_system_score_codex":0.0011050849,"about_ca_system_score_gemma":0.0007404538,"threshold_uncertainty_score":0.018002689},"labels":[],"label_agreement":null},{"id":"W2924078161","doi":"","title":"A quantitative economic assessment of a Canada-EU Comprehensive Economic Trade Agreement","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trade diversion; European union; Negotiation; International trade; Product (mathematics); Tariff; Economics; Trade barrier; International economics; Economic integration; Rules of origin; Trade agreement; Economic impact analysis; International free trade agreement; Free trade; Political science","score_opus":0.06942878757682779,"score_gpt":0.24654057468488813,"score_spread":0.17711178710806036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924078161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48321384,0.0021819933,0.006227167,0.0015052164,0.00006458096,0.0006585273,0.027901787,0.00013496449,0.47811192],"genre_scores_gemma":[0.95842105,0.001192803,0.006914553,0.00015836688,0.0000127399935,0.00018059506,0.009933672,0.000024887666,0.023161206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99411184,0.0005374614,0.0001131474,0.00028794335,0.0040817736,0.00086782785],"domain_scores_gemma":[0.9955297,0.00073584577,0.00031876334,0.00015431861,0.002972699,0.00028860386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028429502,0.00061133766,0.00047023935,0.00716348,0.0026242875,0.006548791,0.0010753163,0.00067518937,0.0051537426],"category_scores_gemma":[0.006156743,0.0002496192,0.00068929256,0.014032257,0.0016564036,0.0012066041,0.0014739606,0.0009940165,0.0002744463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006352905,0.00018149239,0.08910436,0.0009702113,0.00038484923,0.0011471821,0.0026650636,0.2231105,0.00195705,0.5465411,0.03648011,0.096822724],"study_design_scores_gemma":[0.000112210786,0.00048320412,0.4813344,0.00078020786,0.00028383822,0.0003834179,0.015085513,0.1351173,0.0027522638,0.04348779,0.31981662,0.00036324892],"about_ca_topic_score_codex":0.9259029,"about_ca_topic_score_gemma":0.94739944,"teacher_disagreement_score":0.0740971,"about_ca_system_score_codex":0.059727896,"about_ca_system_score_gemma":0.04116697,"threshold_uncertainty_score":0.4333582},"labels":[],"label_agreement":null},{"id":"W2925315688","doi":"10.22004/ag.econ.274015","title":"Is there really a difference between “contingent valuation” and “choice experiments”? Evidence from an induced-value experiment","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta; National Science Foundation","keywords":"Economics; Valuation (finance); Contingent valuation; Value (mathematics); Econometrics; Actuarial science; Microeconomics; Willingness to pay; Statistics; Mathematics; Accounting","score_opus":0.2607720632947939,"score_gpt":0.3013133059931871,"score_spread":0.04054124269839321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925315688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8236222,0.004118996,0.11120049,0.01718469,0.0022577792,0.0013306119,0.0007881037,0.00022957707,0.039267443],"genre_scores_gemma":[0.9696418,0.0011875025,0.020459028,0.0046073683,0.00047465428,0.0010284026,0.0003110046,0.00007884649,0.0022113754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9413124,0.047282062,0.0023778207,0.0043192427,0.0040090857,0.0006994571],"domain_scores_gemma":[0.46690902,0.4660107,0.027673269,0.03301445,0.003839172,0.0025533407],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.077124365,0.0007932792,0.0013616029,0.00058867777,0.0010596061,0.0030664282,0.0022323604,0.0042712186,0.013150534],"category_scores_gemma":[0.23984106,0.00067771884,0.0010620969,0.0007692043,0.009948913,0.0057501397,0.0018374362,0.0036065644,0.0009013089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.078287125,0.020527225,0.04522597,0.006241099,0.005536415,0.0005740461,0.0049828733,0.00649641,0.015996542,0.59775245,0.010029245,0.20835069],"study_design_scores_gemma":[0.018777087,0.014308958,0.055574663,0.0011703591,0.0025778697,0.0007964378,0.0010284353,0.018378614,0.015749615,0.8414139,0.029821366,0.00040272877],"about_ca_topic_score_codex":0.00045110588,"about_ca_topic_score_gemma":0.00033220625,"teacher_disagreement_score":0.92287564,"about_ca_system_score_codex":0.00084541575,"about_ca_system_score_gemma":0.0012181916,"threshold_uncertainty_score":0.4078775},"labels":[],"label_agreement":null},{"id":"W2926044328","doi":"10.22004/ag.econ.280206","title":"Rural Cooperatives Magazine, May/June 2003","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eurostars; Graymont","keywords":"Voting; Agriculture; Business; Rural development; Section (typography); Agribusiness; Agricultural economics; Economic growth; Marketing; Political science; Advertising; Economics; Geography; Politics","score_opus":0.02395994843543544,"score_gpt":0.21516603816006535,"score_spread":0.1912060897246299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926044328","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002541343,0.013163478,0.00050971465,0.030990457,0.009487977,0.00012369579,0.001649692,0.00089124875,0.9406425],"genre_scores_gemma":[0.0020479225,0.0027467513,0.00014724131,0.0031197846,0.0006282467,0.000025089686,0.00032378684,0.000057463294,0.9909037],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967575,0.000036134097,0.000014040253,0.000039290022,0.00018955281,0.00004520499],"domain_scores_gemma":[0.99922705,0.00012309257,0.000039162427,0.000039710427,0.00043936056,0.0001317138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061424327,0.0007352056,0.00029536264,0.0008567753,0.0025426464,0.003583376,0.0006553936,0.0018918242,0.2400359],"category_scores_gemma":[0.0015771977,0.0004808987,0.0001328946,0.0012523064,0.00036919996,0.0020617768,0.00080604595,0.001479125,0.1087397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007760688,0.000012863888,0.000072622315,0.000025365658,4.7239476e-7,0.000020106783,0.00010092414,0.000005841216,0.00007227024,0.00060818566,0.98413783,0.014935734],"study_design_scores_gemma":[0.0000022635854,0.000007480843,0.00042365197,0.000023511126,7.3777807e-7,0.000021012482,0.00023621555,0.000007777681,0.00001500851,0.00006788251,0.999193,0.000001478598],"about_ca_topic_score_codex":0.02505824,"about_ca_topic_score_gemma":0.1617612,"teacher_disagreement_score":0.2400359,"about_ca_system_score_codex":0.0012862361,"about_ca_system_score_gemma":0.001792092,"threshold_uncertainty_score":0.8030001},"labels":[],"label_agreement":null},{"id":"W2929153984","doi":"10.22004/ag.econ.273063","title":"Are clawbacks always efficient? Northern Vigor in Canada","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Forestry","score_opus":0.09390593403046772,"score_gpt":0.18732560903065323,"score_spread":0.09341967500018551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929153984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6231281,0.0052027716,0.0006452857,0.03588247,0.00021141786,0.00007694853,0.0014680605,0.000099013836,0.33328593],"genre_scores_gemma":[0.9040693,0.0015468879,0.0005918271,0.002207897,0.00002223893,0.000020809637,0.00023111413,0.00005156578,0.09125835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978206,0.00014724316,0.000024293002,0.00017845945,0.00039764948,0.0014317401],"domain_scores_gemma":[0.99668014,0.00032307647,0.00016277313,0.0001025655,0.0014381163,0.0012933477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012272156,0.0001898171,0.0005047281,0.001158653,0.02163331,0.0059565553,0.0010782348,0.0010637459,0.014257675],"category_scores_gemma":[0.003452539,0.00033694235,0.00029760838,0.0031078204,0.0044002756,0.0015236281,0.0020666262,0.0018233515,0.0005661117],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065472734,0.00014798567,0.15816227,0.00034946777,0.0000987763,0.0016670338,0.06621504,0.0018107807,0.0011181635,0.41543433,0.18109429,0.1732472],"study_design_scores_gemma":[0.000055365213,0.00006596475,0.32075623,0.0006093587,0.0000833483,0.00026385472,0.1365302,0.0010957276,0.00076453487,0.017288195,0.52235,0.00013728096],"about_ca_topic_score_codex":0.99789715,"about_ca_topic_score_gemma":0.9996506,"teacher_disagreement_score":0.115862675,"about_ca_system_score_codex":0.115862675,"about_ca_system_score_gemma":0.14391397,"threshold_uncertainty_score":0.8406465},"labels":[],"label_agreement":null},{"id":"W2940641795","doi":"10.22004/ag.econ.273072","title":"IP Protection in Canadian Agriculture: A Shift to “Tragedy of Anticommons”?","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tragedy (event); Business; Intellectual property; Agriculture; International trade; Law and economics; Economics; Law; Political science; Geography; Sociology","score_opus":0.04326342636903009,"score_gpt":0.26495213257171474,"score_spread":0.22168870620268466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940641795","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08032976,0.0041337935,0.0014773079,0.5362171,0.0006641456,0.000048005662,0.00046069024,0.00009211977,0.3765771],"genre_scores_gemma":[0.84776497,0.0030269858,0.0011314412,0.09476773,0.00063675083,0.000040068684,0.00013279174,0.00006931539,0.052429896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9895891,0.001224189,0.00022194519,0.0011986509,0.0035946532,0.004171535],"domain_scores_gemma":[0.9849162,0.0038951938,0.00089033606,0.00081760605,0.0070697395,0.0024108833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008279864,0.0003990474,0.00049195584,0.002567145,0.01855189,0.015052036,0.0029901054,0.0132339625,0.013926404],"category_scores_gemma":[0.023407357,0.00040933385,0.00065105694,0.0040060235,0.014879493,0.007276339,0.0035188708,0.010216343,0.00050221704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056846246,0.000054022163,0.005918802,0.000096964024,0.00003180421,0.00026732445,0.0062197545,0.0005703468,0.0004493832,0.8182715,0.12840486,0.03965835],"study_design_scores_gemma":[0.00006968719,0.00004916544,0.054543488,0.00047572478,0.00012891553,0.00017017743,0.017556865,0.0021378372,0.0009136447,0.12812413,0.79563123,0.00019918387],"about_ca_topic_score_codex":0.9838552,"about_ca_topic_score_gemma":0.9894599,"teacher_disagreement_score":0.11895336,"about_ca_system_score_codex":0.11895336,"about_ca_system_score_gemma":0.21516092,"threshold_uncertainty_score":0.8630711},"labels":[],"label_agreement":null},{"id":"W2942553824","doi":"10.22004/ag.econ.290528","title":"Changes in Canada’s Preferential Trade Network and the Welfare Effects in Agricultural Markets","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare; Regional trade; Agriculture; International economics; Economics; Negotiation; International trade; Trade barrier; Market access; Multilateral trade negotiations; Economic integration; Free trade; Geography; Political science; Market economy","score_opus":0.018700199061526004,"score_gpt":0.15821106099811053,"score_spread":0.13951086193658452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942553824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85393983,0.0009099338,0.004083686,0.0028734743,0.000027838743,0.00006040458,0.00090117403,0.000037863938,0.13716593],"genre_scores_gemma":[0.9944805,0.000441222,0.0007428097,0.00015238441,0.0000044533185,0.000006530086,0.000108905995,0.000004540988,0.0040585767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989503,0.00020519969,0.000017945786,0.00008673915,0.00024069313,0.0004991698],"domain_scores_gemma":[0.9990108,0.00015369648,0.0001641874,0.00005415007,0.00041860595,0.00019855255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009713179,0.00021316521,0.00022956995,0.0010520121,0.002310481,0.002001097,0.00034878196,0.00046686787,0.0060563595],"category_scores_gemma":[0.0024770435,0.00011536962,0.00044079174,0.0017418375,0.0015582511,0.00089123583,0.001006848,0.00054073037,0.00014616847],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007869528,0.00024121265,0.2579795,0.00024349582,0.0003766235,0.0013413278,0.0016466532,0.102019124,0.006274895,0.5081544,0.012419939,0.10851572],"study_design_scores_gemma":[0.00021301997,0.0003143302,0.6530355,0.00027569514,0.00053278334,0.0005588769,0.011794394,0.07193821,0.0041756397,0.17388333,0.08315221,0.00012596317],"about_ca_topic_score_codex":0.7992013,"about_ca_topic_score_gemma":0.9049736,"teacher_disagreement_score":0.20079869,"about_ca_system_score_codex":0.02050209,"about_ca_system_score_gemma":0.013062484,"threshold_uncertainty_score":0.40396243},"labels":[],"label_agreement":null},{"id":"W2944915690","doi":"10.22004/ag.econ.273071","title":"Innovation Rates in Canadian Food Processing: The Role of Human Capital","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food processing; Business; Human capital; Industrial organization; Economics; Market economy; Food science; Biology","score_opus":0.03593404702769752,"score_gpt":0.23001076052128158,"score_spread":0.19407671349358407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944915690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660089,0.003967287,0.0005499191,0.006899235,0.00003953218,0.000025995161,0.004269305,0.00003700987,0.018202813],"genre_scores_gemma":[0.9909724,0.0014341974,0.0001907533,0.00012064565,0.000015740929,0.0000065613885,0.0008007741,0.000009972554,0.006449007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992679,0.000054049866,0.000022615313,0.000087139386,0.00023682155,0.0003314867],"domain_scores_gemma":[0.994028,0.0012641189,0.0009521209,0.00017823,0.0026965993,0.00088089705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019373667,0.00028096483,0.00034689673,0.0027754267,0.002095172,0.0023619707,0.0009290175,0.0009575521,0.0055552856],"category_scores_gemma":[0.007907142,0.00017868483,0.0006009804,0.0049046143,0.0011100834,0.00094256975,0.0008805521,0.0009748947,0.00024006606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062536815,0.00018075197,0.8235341,0.00019332967,0.00020286723,0.00036566652,0.0045553916,0.018502818,0.0008835187,0.0569233,0.018675227,0.075357616],"study_design_scores_gemma":[0.000017330149,0.000019918441,0.9739416,0.00006367722,0.000060928633,0.000040164283,0.0021249957,0.006863731,0.00035828125,0.0028609792,0.013592146,0.000056182358],"about_ca_topic_score_codex":0.9963198,"about_ca_topic_score_gemma":0.99720144,"teacher_disagreement_score":0.06089624,"about_ca_system_score_codex":0.06089624,"about_ca_system_score_gemma":0.0414015,"threshold_uncertainty_score":0.44183522},"labels":[],"label_agreement":null},{"id":"W2949035557","doi":"10.22004/ag.econ.289939","title":"Canada’s Agri-food Policy Directions What’s Important?: What Provincial Election Platforms Tell Us","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics; Business","score_opus":0.02696178341812831,"score_gpt":0.18804175283386845,"score_spread":0.16107996941574015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949035557","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112631194,0.0072405054,0.0005263816,0.6894959,0.0012307861,0.00004097973,0.005261964,0.00005863629,0.18351367],"genre_scores_gemma":[0.9107328,0.0045749815,0.0004331933,0.04467712,0.00035717306,0.00002430271,0.00086495624,0.00006557434,0.038269833],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9970276,0.00037959949,0.000052588322,0.00015839914,0.0008717335,0.0015102514],"domain_scores_gemma":[0.98737353,0.0036593648,0.0009083393,0.0003161596,0.0046628695,0.0030797534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031786815,0.0002467892,0.00047150708,0.0011978716,0.008265557,0.011798001,0.0008243042,0.0032697327,0.016711589],"category_scores_gemma":[0.017364433,0.00033352894,0.00042922507,0.0034938697,0.00388185,0.0036893669,0.0013548648,0.004613801,0.0012777311],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004307085,0.00013357426,0.08133495,0.0003414284,0.00015006188,0.00026034244,0.01223588,0.0010471613,0.0003905863,0.15182127,0.683236,0.06861809],"study_design_scores_gemma":[0.00010357546,0.000044619363,0.14155303,0.00064375135,0.00022883042,0.00007167255,0.05176613,0.0015843387,0.0007179028,0.048930045,0.7541625,0.00019356662],"about_ca_topic_score_codex":0.98188883,"about_ca_topic_score_gemma":0.99335974,"teacher_disagreement_score":0.92727214,"about_ca_system_score_codex":0.07272787,"about_ca_system_score_gemma":0.13919882,"threshold_uncertainty_score":0.52768004},"labels":[],"label_agreement":null},{"id":"W2949640753","doi":"","title":"Economic Impact of the TPP as Negotiated","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; International trade; Economic impact analysis; Negotiation; General partnership; Trade agreement; World trade; Economics; International economics; Free trade; Political science; Finance; Macroeconomics","score_opus":0.02265962087184171,"score_gpt":0.2790302720350774,"score_spread":0.2563706511632357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949640753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5732707,0.0003072042,0.004492162,0.0026478327,0.00013983937,0.00031792102,0.0027862533,0.00008455035,0.41595355],"genre_scores_gemma":[0.98283654,0.0002715684,0.0017316554,0.00023150409,0.000011100386,0.00009746132,0.00080452923,0.000031990352,0.01398351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99214363,0.0019165137,0.00013696084,0.00035988833,0.0036032777,0.001839668],"domain_scores_gemma":[0.99556845,0.0013797792,0.00038273045,0.00027871094,0.0017740215,0.00061629614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004492207,0.00052840105,0.0005159739,0.0012662237,0.0037320908,0.006697785,0.0010879206,0.0014140483,0.009243929],"category_scores_gemma":[0.013891513,0.00031850868,0.000771631,0.0026896184,0.0018855365,0.0021663597,0.002908795,0.002452847,0.0007579709],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010655142,0.00059513585,0.09491927,0.0002593198,0.00037922416,0.0028376938,0.0031987703,0.4394604,0.0023079333,0.34928143,0.028683707,0.07701169],"study_design_scores_gemma":[0.00032291852,0.0010627586,0.1763107,0.0005629308,0.0003654623,0.00055205903,0.03881281,0.36284682,0.006240975,0.1645917,0.24783364,0.0004972245],"about_ca_topic_score_codex":0.46827987,"about_ca_topic_score_gemma":0.4719357,"teacher_disagreement_score":0.53172016,"about_ca_system_score_codex":0.021116506,"about_ca_system_score_gemma":0.022539394,"threshold_uncertainty_score":0.93110836},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.042920297872982044,"score_gpt":0.25508470374762077,"score_spread":0.21216440587463872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963622760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86964923,0.0012355262,0.020257378,0.002783356,0.00033491605,0.00013103899,0.05185939,0.0007711482,0.052977983],"genre_scores_gemma":[0.96461207,0.0009923853,0.007863231,0.00040084752,0.000024486626,0.00017815817,0.021873185,0.000114734175,0.003941019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996258,0.0001295503,0.00001374575,0.000055176355,0.00009697883,0.00007878137],"domain_scores_gemma":[0.9994628,0.00017143176,0.00006546458,0.000026710515,0.00019755852,0.00007615208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015839632,0.0012213774,0.0004741116,0.0008751929,0.00033403965,0.0010418141,0.00078249304,0.001125253,0.0037061383],"category_scores_gemma":[0.0021811675,0.0004002467,0.0016331008,0.0014272708,0.00037801338,0.0019191405,0.0007524438,0.0007394609,0.00078818173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034207662,0.000038252587,0.012821802,0.000119785895,0.00013508655,0.00026216448,0.00004178784,0.9712464,0.00069794647,0.004514088,0.00522906,0.0045513734],"study_design_scores_gemma":[0.00021244543,0.00040574177,0.02239159,0.00011199615,0.0002343716,0.00023458897,0.00089223916,0.9344735,0.002035389,0.01971783,0.019112432,0.00017782672],"about_ca_topic_score_codex":0.04442126,"about_ca_topic_score_gemma":0.02773852,"teacher_disagreement_score":0.04442126,"about_ca_system_score_codex":0.002447727,"about_ca_system_score_gemma":0.0013881194,"threshold_uncertainty_score":0.08832538},"labels":[],"label_agreement":null},{"id":"W2967384042","doi":"10.22004/ag.econ.288220","title":"Competitiveness of Major Wheat Exporting Countries in the Korean Market","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Market share; Business; Agricultural economics; Wheat flour; Fell; Diversity (politics); Economics; Marketing; Geography; Food science","score_opus":0.020797169741850984,"score_gpt":0.20298110828825486,"score_spread":0.18218393854640388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967384042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748352,0.0007703601,0.00003872969,0.00033412882,0.000016190961,0.00000839189,0.0008314654,0.000007180696,0.023158481],"genre_scores_gemma":[0.99482226,0.0006630784,0.000111540656,0.00016434347,0.000008359615,0.0000039769884,0.0011723182,0.0000078054945,0.0030463815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998294,0.00001954063,0.000016030604,0.000035152374,0.000027034974,0.00007281526],"domain_scores_gemma":[0.9994438,0.000039596805,0.00016237584,0.000013492193,0.000112895716,0.00022767532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039724077,0.00024039771,0.00016748592,0.0013538272,0.00058446213,0.0023250997,0.00025724128,0.00023920424,0.010771842],"category_scores_gemma":[0.00038804093,0.000108540284,0.00024332658,0.00169501,0.00025818803,0.0009200426,0.00082038186,0.0002301007,0.0010173856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010401661,0.00015096711,0.90271515,0.0003058719,0.0001575865,0.0018852336,0.0027626292,0.00039252557,0.010370783,0.010054948,0.010392876,0.059771266],"study_design_scores_gemma":[0.000034406974,0.00018934633,0.94999826,0.00007029432,0.000055387485,0.0005991868,0.016696075,0.0004503707,0.0014079107,0.0005256525,0.029940978,0.000032015396],"about_ca_topic_score_codex":0.007615742,"about_ca_topic_score_gemma":0.015620265,"teacher_disagreement_score":0.010771842,"about_ca_system_score_codex":0.0008015621,"about_ca_system_score_gemma":0.00046732652,"threshold_uncertainty_score":0.03603542},"labels":[],"label_agreement":null},{"id":"W2972091318","doi":"10.22004/ag.econ.292336","title":"Phytosanitary Regulation of Washington Apple Producers under an Apple Maggot Quarantine Program","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Phytosanitary certification; Quarantine; Business; Orchard; Cold storage; Agricultural science; Biology; Horticulture; Ecology","score_opus":0.018624545122329122,"score_gpt":0.22031853627296785,"score_spread":0.20169399115063874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972091318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933773,0.000011161026,0.000032723718,0.000020811036,4.9257994e-7,0.0000031192137,0.00002178741,0.0000010486258,0.0005710828],"genre_scores_gemma":[0.9994336,0.000017844755,0.00005541098,0.000011108151,0.0000011111674,0.0000029201997,0.000036977446,3.8026755e-7,0.00044071022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975425,0.00006369324,0.000011035825,0.000054893866,0.00005437487,0.000061771534],"domain_scores_gemma":[0.99821174,0.00045227207,0.0009560499,0.000075559365,0.00016348193,0.0001409008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033844486,0.00008918428,0.00010286761,0.00019190482,0.00033608178,0.0004977261,0.00023605228,0.00023242607,0.001200305],"category_scores_gemma":[0.001222366,0.000100162135,0.00009555905,0.00019142526,0.0002933032,0.00018785633,0.00023250365,0.00020766121,0.000085061154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036884894,0.00024901814,0.9720737,0.000016346115,0.00003568645,0.0003071476,0.00037025745,0.0011748162,0.018836716,0.00020441641,0.00018990484,0.006173244],"study_design_scores_gemma":[0.000005138945,0.00023175371,0.9967121,0.000004060285,0.00001012053,0.00003803375,0.00054752413,0.00083837437,0.0012073552,0.000038442646,0.00036352,0.0000035950764],"about_ca_topic_score_codex":0.02602401,"about_ca_topic_score_gemma":0.09624361,"teacher_disagreement_score":0.02602401,"about_ca_system_score_codex":0.0011181772,"about_ca_system_score_gemma":0.00056131394,"threshold_uncertainty_score":0.051745057},"labels":[],"label_agreement":null},{"id":"W2978836231","doi":"10.22004/ag.econ.289906","title":"The Troubled Corn Economy of Ontario’s Livestock Sector: A Strategic Policy Analysis","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Agricultural economics; Business; Economics; Natural resource economics; Economy; Economic policy; Geography; Forestry","score_opus":0.04632343219210657,"score_gpt":0.21851714502742026,"score_spread":0.17219371283531368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978836231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8362276,0.0013019987,0.00052748877,0.03368504,0.000048766204,0.0001197209,0.0014719006,0.000009444037,0.12660806],"genre_scores_gemma":[0.99086,0.00079072965,0.00021852212,0.0006697901,0.000010334916,0.000016077007,0.00009414011,0.000003263521,0.0073372633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989427,0.00014657073,0.000017780168,0.00005420269,0.00021782753,0.00062106515],"domain_scores_gemma":[0.99815875,0.00047220796,0.00016441966,0.00004157263,0.0005978286,0.0005652694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009321171,0.00019453988,0.00024038808,0.00071704097,0.0042886375,0.00435213,0.00067914865,0.0017239345,0.004539341],"category_scores_gemma":[0.0031673817,0.00024852564,0.00031224827,0.0016592345,0.0017431139,0.0013841492,0.00103841,0.0010032658,0.00010496772],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086298946,0.00022607087,0.14921656,0.00053057016,0.00018140464,0.0031528976,0.009371871,0.042094313,0.0030917341,0.7229259,0.036182445,0.032163184],"study_design_scores_gemma":[0.0005534299,0.0003413145,0.36320153,0.0005848847,0.00047837253,0.00044265736,0.09711386,0.06565871,0.002459245,0.12937818,0.3395054,0.00028237764],"about_ca_topic_score_codex":0.97651404,"about_ca_topic_score_gemma":0.99372864,"teacher_disagreement_score":0.09923797,"about_ca_system_score_codex":0.09923797,"about_ca_system_score_gemma":0.111358985,"threshold_uncertainty_score":0.72002524},"labels":[],"label_agreement":null},{"id":"W298646669","doi":"10.22004/ag.econ.274638","title":"Mining Gold for the Currency during the Pax Romana","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Prosperity; Currency; Empire; Economics; Representation (politics); Macro; Government (linguistics); Economy; Monetary economics; Ancient history; Political science; History; Economic growth; Computer science","score_opus":0.07158383022504541,"score_gpt":0.22612992979720498,"score_spread":0.15454609957215956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W298646669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9154634,0.0007710153,0.007973592,0.0038009852,0.00006391622,0.000044988687,0.00036718487,0.000045142333,0.07146978],"genre_scores_gemma":[0.9923092,0.00028201743,0.00083686365,0.000078943216,0.00001568998,0.000018600284,0.00009278288,0.000021312118,0.00634447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982315,0.000057082452,0.000008099868,0.000036729343,0.000026621583,0.000048430513],"domain_scores_gemma":[0.9998559,0.00003453939,0.000037919708,0.00001993097,0.000015936992,0.000035812063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007535208,0.00026424517,0.0004340258,0.00043626784,0.0012003834,0.0022797252,0.0005532762,0.0011443502,0.0031810768],"category_scores_gemma":[0.002240978,0.00033259604,0.00048827747,0.00050770846,0.0020343852,0.002202914,0.0016417955,0.0012885132,0.00036259822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035488387,0.00006258322,0.032653805,0.00016268373,0.000061149636,0.0027274855,0.0022007057,0.15994215,0.0026373998,0.7821241,0.004451027,0.0126220165],"study_design_scores_gemma":[0.0002931948,0.00025626362,0.04889555,0.00034122,0.00008890035,0.0012303698,0.005692402,0.48793775,0.002708154,0.38138762,0.071024284,0.00014432374],"about_ca_topic_score_codex":0.0193852,"about_ca_topic_score_gemma":0.019311422,"teacher_disagreement_score":0.0193852,"about_ca_system_score_codex":0.0027382933,"about_ca_system_score_gemma":0.0013972158,"threshold_uncertainty_score":0.038544714},"labels":[],"label_agreement":null},{"id":"W2993773246","doi":"10.22004/ag.econ.202425","title":"Drought Risk in Cambodia: Assessing Costs and a Potential Solution","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economy and Environment Program for Southeast Asia; Flinders University; International Development Research Centre","keywords":"Hectare; Agriculture; Poverty; Business; Yield (engineering); Agricultural economics; Flood myth; Geography; Natural disaster; Government (linguistics); Benefit–cost ratio; Natural resource economics; Water resource management; Production (economics); Economics; Net present value; Environmental science; Economic growth","score_opus":0.017840043267406607,"score_gpt":0.2542921189010265,"score_spread":0.2364520756336199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993773246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97870606,0.004124205,0.0024252178,0.0041989214,0.000045011082,0.0003431756,0.0019823029,0.0000179382,0.008157147],"genre_scores_gemma":[0.99520904,0.0020101145,0.0016360219,0.000070188566,0.000019242472,0.00006934299,0.00036412376,0.0000019492843,0.00061994913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999532,0.00021105491,0.000034997534,0.00003405877,0.00008578965,0.00010209579],"domain_scores_gemma":[0.9989374,0.00039190173,0.0002753644,0.000019986328,0.00022338855,0.00015194686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009036849,0.0009408582,0.000447649,0.0027286562,0.0004956101,0.0016214488,0.0006889665,0.001001834,0.0023554203],"category_scores_gemma":[0.002585541,0.00038135317,0.0006222842,0.0023264803,0.00038663964,0.0015083511,0.001275277,0.0006049809,0.00009156915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052578247,0.00036135566,0.7947507,0.0012020459,0.00072933646,0.0034694164,0.0014271559,0.08823138,0.0017382007,0.011368143,0.004239737,0.09195669],"study_design_scores_gemma":[0.000039168837,0.0007992421,0.81185126,0.0008837999,0.00036313196,0.0012508504,0.018745193,0.15294673,0.0007882329,0.00615632,0.00607194,0.000104254475],"about_ca_topic_score_codex":0.0436882,"about_ca_topic_score_gemma":0.061275978,"teacher_disagreement_score":0.0436882,"about_ca_system_score_codex":0.0045636003,"about_ca_system_score_gemma":0.001586443,"threshold_uncertainty_score":0.08686781},"labels":[],"label_agreement":null},{"id":"W2995834257","doi":"10.22004/ag.econ.261274","title":"Corporate R&amp;D and the performance of foodprocessing firms: Evidence from Europe, Japan and North America","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Data envelopment analysis; Bootstrapping (finance); Food processing; Productivity; Business; Food industry; Food sector; Economics; Industrial organization; Economic growth; Finance; Geography; Political science; Agriculture","score_opus":0.10941471301584613,"score_gpt":0.2283223525714317,"score_spread":0.11890763955558559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995834257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565506,0.0019927784,0.00010811968,0.00013095977,0.000003497783,0.0000032740204,0.000341187,0.0000034430789,0.0017616035],"genre_scores_gemma":[0.99729013,0.0013800308,0.00010098322,0.000051807994,0.000012203441,0.0000025981828,0.00087528565,0.0000019349438,0.00028499044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991755,0.00016214442,0.00009822736,0.00017736488,0.0002039772,0.00018281328],"domain_scores_gemma":[0.9879112,0.0023481844,0.0069501,0.00048391815,0.0016074752,0.0006991312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017787183,0.00023377269,0.00026857425,0.0026862118,0.00037067485,0.0011545286,0.00024903633,0.0003838432,0.0006342859],"category_scores_gemma":[0.0039525153,0.00015144069,0.0004311259,0.0043565454,0.00070193154,0.00085174537,0.0012583098,0.00032296905,0.00018243425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009228044,0.00005571449,0.98968303,0.000058473484,0.00014787255,0.00012252494,0.00037184174,0.00040999858,0.00026184338,0.00017840491,0.0003523444,0.00826566],"study_design_scores_gemma":[0.00000303175,0.000020991078,0.99875045,0.000015385313,0.000047738064,0.000026841957,0.0003543975,0.00010098662,0.00013127772,0.000027307646,0.00051741034,0.0000040723776],"about_ca_topic_score_codex":0.03526044,"about_ca_topic_score_gemma":0.049187724,"teacher_disagreement_score":0.03526044,"about_ca_system_score_codex":0.00077713456,"about_ca_system_score_gemma":0.0006779953,"threshold_uncertainty_score":0.07011038},"labels":[],"label_agreement":null},{"id":"W3005367462","doi":"10.22004/ag.econ.292302","title":"Searching for an Appropriate Ad Valorem Equivalent for TRQs: The Case of CETA","year":2019,"lang":"en","type":"book","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ad valorem tax; Tariff; Economics; Welfare; Microeconomics; International economics; Public economics; Tax reform; Market economy","score_opus":0.0777726053130903,"score_gpt":0.25902793610237074,"score_spread":0.18125533078928044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005367462","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05433256,0.0035087268,0.5281773,0.0042441688,0.00044798874,0.0002895452,0.0012598422,0.0003394592,0.40740043],"genre_scores_gemma":[0.68950534,0.0020038676,0.25674948,0.00065698463,0.00009348714,0.00037132978,0.0005530957,0.0004169001,0.049649585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997875,0.00093140505,0.00008467238,0.00027785703,0.00066083524,0.00017030638],"domain_scores_gemma":[0.9975546,0.0014859342,0.00018524744,0.00041987433,0.00029135842,0.00006304133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028650996,0.0005510353,0.00083918485,0.001561127,0.0010052981,0.0045715463,0.0016356207,0.0020781523,0.012633541],"category_scores_gemma":[0.012298684,0.00044105735,0.0011966577,0.0022102082,0.0014178487,0.004442604,0.0016473299,0.0024899156,0.0015064827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004265757,0.000032906617,0.0005235769,0.00015149955,0.000018993558,0.0002031108,0.00013918219,0.06629843,0.0005027793,0.8868806,0.004219942,0.04098639],"study_design_scores_gemma":[0.000024521172,0.000078777564,0.0006597109,0.00023412249,0.00003383147,0.0004149123,0.00038744477,0.21725774,0.001314696,0.70217407,0.07736963,0.000050538372],"about_ca_topic_score_codex":0.0069861487,"about_ca_topic_score_gemma":0.00825565,"teacher_disagreement_score":0.012633541,"about_ca_system_score_codex":0.003394623,"about_ca_system_score_gemma":0.0016862063,"threshold_uncertainty_score":0.04226339},"labels":[],"label_agreement":null},{"id":"W3022365763","doi":"10.22004/ag.econ.99705","title":"Regional Food Clusters and Government Support for Clustering: Evidence for a ‘Dynamic Food Innovation Cluster’ in Alberta, Canada?","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Government (linguistics); Business; Cluster (spacecraft); Productivity; Business cluster; Exploratory research; Empirical evidence; Food industry; Economic geography; Industrial organization; Marketing; Regional science; Economic growth; Economics; Geography; Computer science; Political science","score_opus":0.08004566021459668,"score_gpt":0.27276501487659394,"score_spread":0.19271935466199724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022365763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750674,0.0018088402,0.00036342436,0.0023192954,0.000021835802,0.000033646294,0.00060763943,0.000017635242,0.019760361],"genre_scores_gemma":[0.9963715,0.00077840924,0.00022221293,0.00011718389,0.0000059788663,0.000006463395,0.00024168672,0.000005430571,0.0022511282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987167,0.00015257944,0.00003606399,0.00017433296,0.0004903213,0.0004300146],"domain_scores_gemma":[0.99332774,0.0011772865,0.001413539,0.00033438497,0.002243158,0.0015040037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013794767,0.00019649566,0.00034177903,0.002258536,0.0036743553,0.0026924093,0.0014015763,0.0005387967,0.00414947],"category_scores_gemma":[0.0061729425,0.0002082382,0.00030785048,0.005988522,0.0024254057,0.00076049595,0.0019000672,0.00060507806,0.00019302756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030626392,0.0001135208,0.9039326,0.00022089615,0.00014018548,0.00063305284,0.012999755,0.0008703161,0.000452306,0.009809057,0.006911417,0.063610636],"study_design_scores_gemma":[0.000014984775,0.000024829389,0.96920997,0.00010185109,0.00005636839,0.0000672047,0.021331497,0.00056774664,0.00011540668,0.0006364452,0.007852722,0.000021122893],"about_ca_topic_score_codex":0.9840169,"about_ca_topic_score_gemma":0.99279284,"teacher_disagreement_score":0.02738106,"about_ca_system_score_codex":0.02738106,"about_ca_system_score_gemma":0.042234905,"threshold_uncertainty_score":0.19866443},"labels":[],"label_agreement":null},{"id":"W3023009528","doi":"10.22004/ag.econ.121942","title":"Trade Policy Implications of Carbon Labels on Food","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Novelty; Carbon footprint; Work (physics); Business; International trade; Carbon fibers; International economics; Economics; Greenhouse gas; Computer science; Psychology; Engineering; Ecology","score_opus":0.04508735952216842,"score_gpt":0.289062573248685,"score_spread":0.2439752137265166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023009528","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040888097,0.0033526134,0.005352688,0.21067277,0.0011734822,0.000071483744,0.00029934867,0.00006671875,0.7381229],"genre_scores_gemma":[0.7949469,0.0036978014,0.0039759795,0.120778404,0.001259108,0.00024077145,0.00012337776,0.00007314437,0.07490444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939639,0.002125706,0.00021338425,0.0009005596,0.001945833,0.0008506303],"domain_scores_gemma":[0.9889283,0.007924632,0.0008247731,0.0005281065,0.001504978,0.00028920468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058662533,0.00040822558,0.00028708254,0.0011942743,0.0049227136,0.00710918,0.0010558316,0.014146714,0.008382895],"category_scores_gemma":[0.015403147,0.00041464565,0.000685942,0.0011720301,0.009112212,0.005635535,0.002481147,0.0061179865,0.0007325508],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025357547,0.000036253274,0.0006313925,0.000028243881,0.0000051268544,0.0001625176,0.00029938662,0.00093892263,0.00042471712,0.98153645,0.010240365,0.0056713424],"study_design_scores_gemma":[0.00006604315,0.00010608843,0.0041380473,0.00053696905,0.000031383704,0.00020017601,0.0014414933,0.004145697,0.0020780629,0.72491217,0.26226667,0.00007719121],"about_ca_topic_score_codex":0.025179597,"about_ca_topic_score_gemma":0.023221042,"teacher_disagreement_score":0.025179597,"about_ca_system_score_codex":0.008514354,"about_ca_system_score_gemma":0.0058139013,"threshold_uncertainty_score":0.06177628},"labels":[],"label_agreement":null},{"id":"W3047307206","doi":"10.22004/ag.econ.274716","title":"Adaptive inference in heteroskedastic fractional time series models","year":2018,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Danmarks Grundforskningsfond; Università di Bologna; National Research Foundation","keywords":"Heteroscedasticity; Mathematics; Estimator; Autoregressive conditional heteroskedasticity; Applied mathematics; Autocorrelation; Inference; Parametric statistics; Series (stratigraphy); Asymptotic distribution; Econometrics; Conditional variance; Statistics; Computer science","score_opus":0.08691654751695493,"score_gpt":0.2464726709894275,"score_spread":0.15955612347247256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047307206","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03207914,0.00019651212,0.9667959,0.00022531622,0.000025978901,0.0000118112885,0.00003472113,0.00009638011,0.0005342209],"genre_scores_gemma":[0.84436464,0.0005395644,0.15282844,0.00014134162,0.000133121,0.000075544835,0.00011712336,0.000045820696,0.0017544401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977029,0.0013041364,0.000095776624,0.00043860506,0.00031999397,0.00013872459],"domain_scores_gemma":[0.9843454,0.013079346,0.0013654367,0.00068507245,0.00039617205,0.00012870155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006502039,0.0006559217,0.0012169251,0.00088634354,0.000448894,0.0011529734,0.0016678205,0.0014481284,0.0011886995],"category_scores_gemma":[0.03279008,0.0005247566,0.0008363297,0.0012221733,0.0017045082,0.0019446153,0.0014244784,0.0015624074,0.00011427069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000650661,0.00005298137,0.0030466598,0.000065994005,0.00012566784,0.00021299956,0.00012027305,0.81184715,0.0011228882,0.15572627,0.00029368428,0.027320374],"study_design_scores_gemma":[0.0000055401647,0.000008781766,0.00023202332,0.000004384161,0.0000069763405,0.000010554051,0.00000791481,0.9375862,0.00023084784,0.061757345,0.00014289691,0.000006413968],"about_ca_topic_score_codex":0.0058175987,"about_ca_topic_score_gemma":0.004045631,"teacher_disagreement_score":0.006502039,"about_ca_system_score_codex":0.0010290723,"about_ca_system_score_gemma":0.00093936326,"threshold_uncertainty_score":0.034386456},"labels":[],"label_agreement":null},{"id":"W304774668","doi":"10.22004/ag.econ.143085","title":"Short- and long-run relationships between Ukrainian barley and world feed grain export prices","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Ukrainian; Economics; Agricultural economics; Error correction model; Short run; European union; International economics; Monetary economics; Econometrics","score_opus":0.03580357824961879,"score_gpt":0.2104297226118079,"score_spread":0.1746261443621891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W304774668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983273,0.00011959902,0.0001334548,0.000047327758,0.000002128426,0.0000012024874,0.00027824557,0.0000060897532,0.0010846943],"genre_scores_gemma":[0.99877924,0.00009542603,0.00008078614,0.000008175461,0.0000020051552,0.0000012573491,0.0004097234,0.0000036445115,0.0006196813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998264,0.000022104896,0.000024256695,0.00004933664,0.000035329926,0.000042671494],"domain_scores_gemma":[0.99922657,0.000189573,0.00033139996,0.000050369956,0.00015737677,0.00004473119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036399846,0.00012355282,0.00019177898,0.00056021876,0.00022918111,0.0012886057,0.00018246175,0.00015997568,0.0016701468],"category_scores_gemma":[0.0013399541,0.00009962186,0.00026091255,0.0010422465,0.00025576368,0.00056383654,0.0005136467,0.00034878758,0.00024248472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012983097,0.000040385225,0.97052896,0.000054366083,0.0002952859,0.0008385648,0.0012651142,0.00753902,0.0020924616,0.0029669134,0.00061193877,0.013637147],"study_design_scores_gemma":[0.0000017452204,0.000022787388,0.9932453,0.00001210692,0.000036801346,0.000113623784,0.0008187957,0.0031705461,0.0005479948,0.00025113064,0.001768689,0.000010411476],"about_ca_topic_score_codex":0.04169178,"about_ca_topic_score_gemma":0.032141007,"teacher_disagreement_score":0.04169178,"about_ca_system_score_codex":0.0012820251,"about_ca_system_score_gemma":0.00088848494,"threshold_uncertainty_score":0.0828982},"labels":[],"label_agreement":null},{"id":"W3049266429","doi":"10.22004/ag.econ.303740","title":"How do pesticide retailers recommend pesticides to farmers in rural China?","year":2020,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Zhejiang University; College of Engineering, Michigan State University; National Natural Science Foundation of China; Michigan State University","keywords":"Pesticide; Business; Government (linguistics); Ordered probit; Agriculture; Probit model; China; Quarter (Canadian coin); Agricultural science; Multivariate probit model; Agricultural economics; Marketing; Economics; Geography; Environmental science","score_opus":0.055164370882883236,"score_gpt":0.2569184523372735,"score_spread":0.20175408145439028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049266429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994042,0.000035662997,0.00002689095,0.00008387238,7.8960875e-7,0.0000057679913,0.00015292317,0.0000011010325,0.00028880543],"genre_scores_gemma":[0.99915147,0.000111411086,0.00005683477,0.000030231247,0.0000015761651,0.0000058867254,0.00018771608,6.588291e-7,0.00045431257],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99950945,0.0001082074,0.000045349883,0.00011213119,0.000110219604,0.00011463147],"domain_scores_gemma":[0.99774456,0.00055611035,0.001112591,0.0000958989,0.0002531952,0.00023770973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067197875,0.00022314557,0.00023299074,0.00085558434,0.000717109,0.00079233863,0.00042461898,0.00038488145,0.0015554071],"category_scores_gemma":[0.002553289,0.00028906413,0.00019666755,0.0019125128,0.0004172376,0.000865953,0.00039331848,0.00030068457,0.000281811],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001763267,0.000037400165,0.99330384,0.000017867762,0.000016485988,0.00011695631,0.0021005059,0.00010848219,0.00013292163,0.00003678369,0.00017906478,0.0039320556],"study_design_scores_gemma":[0.000003917138,0.00003409218,0.9919619,0.000007769689,0.000010753681,0.000045708653,0.0067171482,0.0006269932,0.000072658164,0.000033610657,0.00047871363,0.000006766949],"about_ca_topic_score_codex":0.13377312,"about_ca_topic_score_gemma":0.23869252,"teacher_disagreement_score":0.13377312,"about_ca_system_score_codex":0.0012693887,"about_ca_system_score_gemma":0.0013962893,"threshold_uncertainty_score":0.26598895},"labels":[],"label_agreement":null},{"id":"W3080157986","doi":"","title":"What Has Been Left to Multilateralism to Negotiate On","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multilateralism; Tariff; International economics; International trade; Negotiation; Regionalism (politics); Rules of origin; Liberalization; Economics; Free trade; Welfare; Quarter (Canadian coin); Commercial policy; Political science; Geography; Politics","score_opus":0.10944817846696661,"score_gpt":0.22578910308586506,"score_spread":0.11634092461889844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080157986","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07116976,0.017666642,0.033465493,0.23711488,0.0024722274,0.000055477623,0.0002851691,0.00022151806,0.6375488],"genre_scores_gemma":[0.9346879,0.0053998423,0.0055910884,0.02645929,0.001035407,0.00008424629,0.00017802298,0.00019903394,0.026365105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9876968,0.0058629722,0.0003146506,0.0014402684,0.0022466667,0.0024387105],"domain_scores_gemma":[0.9852704,0.0054449216,0.0013287278,0.0035242687,0.002322762,0.0021089271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015918234,0.00036401564,0.00047311164,0.0009937973,0.0040143924,0.011634802,0.0013499362,0.0025331746,0.025705582],"category_scores_gemma":[0.017623227,0.00026061345,0.0006674585,0.0012433603,0.0118681425,0.016676765,0.007542785,0.0049578864,0.004049991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066672794,0.00006347423,0.0018395943,0.00026734103,0.000059238908,0.000116615,0.0020432083,0.0011160722,0.00053957733,0.8951389,0.013198426,0.08555087],"study_design_scores_gemma":[0.00003307665,0.00008535385,0.0025057816,0.0014031625,0.000029863342,0.00022646596,0.007931366,0.0008337047,0.0007442888,0.52310044,0.4630419,0.00006454771],"about_ca_topic_score_codex":0.0033990538,"about_ca_topic_score_gemma":0.0048686666,"teacher_disagreement_score":0.025705582,"about_ca_system_score_codex":0.005198647,"about_ca_system_score_gemma":0.0072235353,"threshold_uncertainty_score":0.08599371},"labels":[],"label_agreement":null},{"id":"W3083053135","doi":"10.22004/ag.econ.52343","title":"Contractually Stable Networks","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Fonds De La Recherche Scientifique - FNRS; State University of New York; Northwestern University; Concordia University; Université Paris-Sud; Vanderbilt University","keywords":"Stability (learning theory); Simple (philosophy); Network structure; Computer science; Mathematical economics; Microeconomics; Operations research; Economics; Engineering; Theoretical computer science; Epistemology","score_opus":0.04675835153960043,"score_gpt":0.21607103838820596,"score_spread":0.16931268684860554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083053135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09766772,0.00035686104,0.8389148,0.0019055388,0.00006130792,0.00019107024,0.00037143982,0.00016374586,0.06036759],"genre_scores_gemma":[0.84932286,0.00058003486,0.13097212,0.00034372025,0.000103040475,0.00041799308,0.00043710275,0.000062952124,0.017760165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982015,0.0006227378,0.000086269225,0.00043788986,0.00043003933,0.00022155633],"domain_scores_gemma":[0.9942569,0.0026486155,0.0009259183,0.000908384,0.0007650619,0.0004951657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021548797,0.0003326049,0.0004692875,0.0014554316,0.002037659,0.0026863625,0.0016542602,0.0016461358,0.008593928],"category_scores_gemma":[0.011559969,0.0003275971,0.0005480115,0.0011587136,0.0028200466,0.0056142244,0.0020833702,0.0014962173,0.00088524714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063471243,0.000006586346,0.0002101404,0.00000777015,0.0000037713717,0.00003701664,0.00009180958,0.0074380026,0.00020286127,0.9882344,0.00033678705,0.0034244726],"study_design_scores_gemma":[0.000008583279,0.000011572822,0.00011881339,0.000010547227,0.000003945935,0.000050412975,0.00006572289,0.05279466,0.0002837173,0.94052356,0.006121512,0.0000069965818],"about_ca_topic_score_codex":0.00171941,"about_ca_topic_score_gemma":0.0012398467,"teacher_disagreement_score":0.008593928,"about_ca_system_score_codex":0.0018020269,"about_ca_system_score_gemma":0.0011794514,"threshold_uncertainty_score":0.028749526},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.029913018742506414,"score_gpt":0.24427983855105032,"score_spread":0.2143668198085439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103294300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95828354,0.00723253,0.0020311638,0.001144048,0.00004256629,0.000008861502,0.0016545963,0.00002675148,0.029575914],"genre_scores_gemma":[0.9945574,0.0030140022,0.0003986799,0.00006901584,0.000011739211,0.000003126081,0.00027311788,0.000009028241,0.0016640218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996934,0.00009611398,0.000011039153,0.000049466413,0.000064143416,0.00008586302],"domain_scores_gemma":[0.9992724,0.00035637233,0.00016311572,0.00004952959,0.00010681417,0.00005174919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061271107,0.0004281162,0.00021308352,0.0005949334,0.00017492921,0.0013922806,0.00022814465,0.00041762143,0.0040408634],"category_scores_gemma":[0.0012652508,0.0000978675,0.0006014131,0.0011164784,0.0004836335,0.0010330771,0.00075635395,0.00029811446,0.00035251153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011493239,0.0002587028,0.4458271,0.0009927312,0.00064594497,0.0012689903,0.000557156,0.2659256,0.030649763,0.0777264,0.0023228098,0.17267549],"study_design_scores_gemma":[0.00004510241,0.0007323913,0.80893224,0.00022901266,0.00039890688,0.00089013984,0.0026514872,0.046258923,0.023182318,0.058336742,0.0582423,0.000100500365],"about_ca_topic_score_codex":0.007464009,"about_ca_topic_score_gemma":0.011955678,"teacher_disagreement_score":0.007464009,"about_ca_system_score_codex":0.0014742911,"about_ca_system_score_gemma":0.0005078909,"threshold_uncertainty_score":0.014841139},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.029132537006764457,"score_gpt":0.23095015511010328,"score_spread":0.20181761810333881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112220604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9605314,0.0029282034,0.0005826747,0.0062042116,0.00017943425,0.000039291237,0.007174024,0.00004397909,0.02231675],"genre_scores_gemma":[0.9874806,0.001866285,0.00029879477,0.0006595391,0.00011172046,0.000045527813,0.006232156,0.000021194177,0.0032841733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906856,0.00016004978,0.00006327565,0.00006664592,0.00042890603,0.00021269497],"domain_scores_gemma":[0.9973998,0.00048226083,0.00093003205,0.00006681629,0.00086803926,0.00025302515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016588964,0.00041283589,0.00023356992,0.0011343327,0.0011130499,0.002983629,0.00052110926,0.0011302927,0.0026571532],"category_scores_gemma":[0.0039089336,0.00014182064,0.0004963675,0.0026794549,0.0006405071,0.0026960236,0.001865353,0.0013486062,0.00052743417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025142236,0.0008875461,0.6801758,0.0006668402,0.0003536165,0.002828932,0.00384787,0.027809398,0.0015341121,0.030353092,0.09277489,0.15625368],"study_design_scores_gemma":[0.000064490145,0.0008874256,0.8373526,0.00051288353,0.00019801021,0.0006439301,0.018681722,0.014669368,0.002605312,0.009247267,0.114999615,0.00013731851],"about_ca_topic_score_codex":0.032003872,"about_ca_topic_score_gemma":0.040007927,"teacher_disagreement_score":0.032003872,"about_ca_system_score_codex":0.0032060929,"about_ca_system_score_gemma":0.0022889616,"threshold_uncertainty_score":0.06363517},"labels":[],"label_agreement":null},{"id":"W3112884313","doi":"10.22004/ag.econ.309758","title":"Corruption and Cooperative Organizations","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Language change; Public relations; Computer security; Process management; Law and economics; Political science; Computer science; Economics","score_opus":0.04632484561212312,"score_gpt":0.2619631225867115,"score_spread":0.21563827697458837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112884313","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4204871,0.025234988,0.0043336633,0.06073257,0.0005661987,0.00008883086,0.00019188013,0.000028992814,0.48833576],"genre_scores_gemma":[0.9866192,0.0048404676,0.00018608988,0.001422723,0.00015695841,0.000022181097,0.000045248788,0.0000065526756,0.006700645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9927779,0.0037425112,0.00023320857,0.00039108456,0.0011701524,0.0016851109],"domain_scores_gemma":[0.9776889,0.007280482,0.0077133016,0.0009123466,0.0024185306,0.0039864527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004787291,0.00017339941,0.00021101661,0.002097057,0.005213108,0.004416489,0.00048023814,0.0011771057,0.006649555],"category_scores_gemma":[0.016202789,0.000116581126,0.00014244368,0.0033533417,0.0081689805,0.0035599608,0.003998073,0.0014499582,0.00045877206],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048776445,0.00018386528,0.093701564,0.00028450874,0.000047793663,0.00040373663,0.031865265,0.0009497254,0.00008653053,0.7797994,0.027643213,0.06498562],"study_design_scores_gemma":[0.000051468145,0.00019203631,0.14211811,0.0025653958,0.00003951988,0.00062930956,0.08373245,0.001340411,0.00024592195,0.21534246,0.5536861,0.00005673841],"about_ca_topic_score_codex":0.011715083,"about_ca_topic_score_gemma":0.013256599,"teacher_disagreement_score":0.011715083,"about_ca_system_score_codex":0.0053252527,"about_ca_system_score_gemma":0.005821822,"threshold_uncertainty_score":0.038637638},"labels":[],"label_agreement":null},{"id":"W3119170037","doi":"10.22004/ag.econ.307463","title":"Exchange Rate Effects on the U.S.-Canada Forest Products Trade: Are the Effects Asymmetric?","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Exchange rate; International economics; International trade; Business; Agricultural economics; Natural resource economics; Monetary economics","score_opus":0.052679492451598434,"score_gpt":0.18166218880573773,"score_spread":0.12898269635413928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119170037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8843237,0.004727745,0.0002770611,0.013964717,0.00017323231,0.00002558898,0.009281735,0.00004010981,0.087186135],"genre_scores_gemma":[0.9875514,0.0021877992,0.00006182589,0.00048023008,0.00005865439,0.0000031501074,0.0013654107,0.000021192058,0.008270447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948597,0.00007123819,0.000022059387,0.000044524015,0.00015985237,0.00021626562],"domain_scores_gemma":[0.9967217,0.0007515133,0.0006622355,0.00012156822,0.0013050976,0.00043782283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010005353,0.00027464915,0.0004612342,0.0011322977,0.0013424073,0.003053315,0.00043384527,0.00063771097,0.011343726],"category_scores_gemma":[0.0048829606,0.00015297416,0.0004680962,0.001824679,0.00090635935,0.0012843253,0.0007485375,0.0015693218,0.0007602771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042222547,0.0004605441,0.7309847,0.00028645224,0.0006111488,0.0012619469,0.0020139772,0.027797049,0.0024649247,0.09503413,0.064255506,0.0706074],"study_design_scores_gemma":[0.00016598694,0.000091375274,0.95453304,0.00015839009,0.0005055719,0.0001204511,0.003640239,0.00813456,0.0011154253,0.009653196,0.021798193,0.000083721454],"about_ca_topic_score_codex":0.90356326,"about_ca_topic_score_gemma":0.90771437,"teacher_disagreement_score":0.09643674,"about_ca_system_score_codex":0.009317092,"about_ca_system_score_gemma":0.008779769,"threshold_uncertainty_score":0.1940093},"labels":[],"label_agreement":null},{"id":"W3121145325","doi":"10.22004/ag.econ.34135","title":"OPTIMAL COLLECTIVE INVESTMENT IN GENERIC ADVERTISING, EXPORT MARKET PROMOTION AND COST-OF-PRODUCTION REDUCING RESEARCH","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Investment (military); Production (economics); Promotion (chess); Constraint (computer-aided design); Agency (philosophy); Economic surplus; Budget constraint; Limiting; Microeconomics; Business; Industrial organization; Economics; Market economy","score_opus":0.10436987741069459,"score_gpt":0.257860749741692,"score_spread":0.1534908723309974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121145325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48346797,0.000912854,0.44733033,0.0023242184,0.00008560112,0.00070859276,0.0006252349,0.00026061607,0.06428468],"genre_scores_gemma":[0.90621567,0.0004449547,0.08013464,0.000109082706,0.000038425995,0.00044560098,0.00017289628,0.00007554489,0.012363207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886465,0.00044468231,0.0000663371,0.00022379658,0.00013472991,0.0002659118],"domain_scores_gemma":[0.99530977,0.003059605,0.00074930734,0.00022333681,0.00028069512,0.00037732307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003157165,0.0008169498,0.0012882267,0.00092387316,0.00049117143,0.0029278425,0.0013569146,0.0020119625,0.006035201],"category_scores_gemma":[0.011662488,0.0008533782,0.0006776594,0.0007410164,0.0012595983,0.0023514268,0.0011863196,0.0015435595,0.00067898206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036528832,0.0003025483,0.0037809936,0.00015004403,0.000067828376,0.0001564092,0.00019223402,0.74180144,0.0024798347,0.19966622,0.0030753335,0.04796188],"study_design_scores_gemma":[0.0001333893,0.00014389299,0.002182988,0.000045711327,0.00004893812,0.00005956488,0.00017193395,0.8699374,0.0017332524,0.12291536,0.002598861,0.000028653854],"about_ca_topic_score_codex":0.0031685503,"about_ca_topic_score_gemma":0.003893537,"teacher_disagreement_score":0.006035201,"about_ca_system_score_codex":0.003939883,"about_ca_system_score_gemma":0.0020574557,"threshold_uncertainty_score":0.02858597},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01795592389960446,"score_gpt":0.2293437456315412,"score_spread":0.21138782173193674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121169149","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021250693,0.000102736405,0.9966068,0.000185159,0.000014458003,0.000022540382,0.00004310472,0.000063049585,0.0008370248],"genre_scores_gemma":[0.28094992,0.0010705821,0.71302587,0.00027206846,0.00017650233,0.0005896842,0.00056150206,0.00011853004,0.0032353483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9920665,0.0049249507,0.0002435469,0.0008715605,0.0016251471,0.000268325],"domain_scores_gemma":[0.98373055,0.012946878,0.0013224347,0.000933049,0.0008424927,0.00022453222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077981856,0.00083550095,0.0017675086,0.0023691435,0.0007168941,0.0020638255,0.002947463,0.0014939785,0.0036105765],"category_scores_gemma":[0.04355616,0.0013007716,0.0012351037,0.002495354,0.0017312412,0.0034260792,0.0024894765,0.0031576725,0.00060462294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003771405,0.00010035752,0.0022247918,0.00012319924,0.00019780168,0.00006286649,0.00015929852,0.4493826,0.0004583868,0.47356567,0.0020877654,0.0715995],"study_design_scores_gemma":[0.000023425031,0.000015586455,0.0003123354,0.000022440126,0.000016769796,0.000019554976,0.000011700698,0.8277309,0.00015858644,0.16961879,0.002053562,0.000016423592],"about_ca_topic_score_codex":0.0072349827,"about_ca_topic_score_gemma":0.007238974,"teacher_disagreement_score":0.0077981856,"about_ca_system_score_codex":0.0017712582,"about_ca_system_score_gemma":0.002706484,"threshold_uncertainty_score":0.04124123},"labels":[],"label_agreement":null},{"id":"W3121199971","doi":"10.22004/ag.econ.274648","title":"The Krusell-Smith Algorithm: Are Self-fulfilling Equilibria Likely?","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Consumption (sociology); Aggregate (composite); Benchmark (surveying); Population; Product (mathematics); Capital (architecture); Stability (learning theory); Incomplete markets; Sequence (biology); Fraction (chemistry); General equilibrium theory; Econometrics; Microeconomics; Mathematical economics; Mathematics; Computer science; Chemistry","score_opus":0.036042717773739213,"score_gpt":0.20755974021821308,"score_spread":0.17151702244447387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121199971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24029791,0.0004728098,0.7385305,0.00153951,0.000093572366,0.00029692083,0.00017367792,0.00075237185,0.017842656],"genre_scores_gemma":[0.71855813,0.00027676407,0.27389196,0.0004115671,0.000048681308,0.00026830367,0.00028224912,0.00017079434,0.006091536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900645,0.00042670488,0.00005769895,0.00017470733,0.00020541172,0.00012907921],"domain_scores_gemma":[0.9922708,0.00515619,0.0006516425,0.00078348146,0.0008898309,0.00024796822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003385842,0.00054777,0.000949209,0.0010767464,0.0008420676,0.0013300704,0.0014122684,0.00181131,0.005529603],"category_scores_gemma":[0.024178358,0.0004115869,0.00054644205,0.00067871745,0.001323691,0.0020978774,0.0012275203,0.000830388,0.0006460764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060629315,0.00021334815,0.01084617,0.00020442021,0.00017066638,0.00020741315,0.00034845405,0.51348037,0.0027892783,0.33951083,0.006980212,0.1246426],"study_design_scores_gemma":[0.00008568216,0.00008868514,0.0004205732,0.000027666178,0.000014430652,0.00005915671,0.000051349936,0.93511236,0.001087313,0.061452895,0.0015845784,0.000015316267],"about_ca_topic_score_codex":0.0035630001,"about_ca_topic_score_gemma":0.0045868414,"teacher_disagreement_score":0.005529603,"about_ca_system_score_codex":0.00085342454,"about_ca_system_score_gemma":0.0024477874,"threshold_uncertainty_score":0.01849842},"labels":[],"label_agreement":null},{"id":"W3121201711","doi":"10.22004/ag.econ.196885","title":"International Comparison of Cost and Efficiency of Corn and Soybean Production","year":2015,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Allocative efficiency; Cost efficiency; Production (economics); Agricultural economics; Data envelopment analysis; Agricultural science; Economics; Economic efficiency; Labor cost; Mathematics; Environmental science; Statistics; Engineering","score_opus":0.08277777750559863,"score_gpt":0.2820879026865565,"score_spread":0.19931012518095786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121201711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879764,0.00038310845,0.0038670395,0.000036116013,0.0000035548471,0.000010370379,0.000510944,0.00002130422,0.007191235],"genre_scores_gemma":[0.99735767,0.00015827609,0.0012110083,0.0000039317206,0.0000021375597,0.000005299499,0.00068301853,0.000009735807,0.0005689317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992673,0.00022533612,0.00003973851,0.000106713334,0.0002596065,0.00010127542],"domain_scores_gemma":[0.9990375,0.00031487277,0.0002435277,0.000119265715,0.00024271989,0.000042177904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011458636,0.00021134279,0.0001806758,0.001402304,0.000116662864,0.00068856374,0.00017970557,0.00013593896,0.0008035145],"category_scores_gemma":[0.00237816,0.000076851815,0.00027824152,0.001806682,0.0002780556,0.0005385461,0.00033332707,0.00010092714,0.00013049836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010924859,0.00010904877,0.5949861,0.0002326192,0.0003895445,0.00046682346,0.00025943617,0.24121697,0.015238829,0.013701572,0.0014389807,0.1308675],"study_design_scores_gemma":[0.000018333189,0.0002808064,0.94019365,0.00003915342,0.000077649864,0.00028049992,0.0004240879,0.04082851,0.0105629135,0.0016539793,0.0056185704,0.000021794487],"about_ca_topic_score_codex":0.0044072187,"about_ca_topic_score_gemma":0.005581812,"teacher_disagreement_score":0.0044072187,"about_ca_system_score_codex":0.001185744,"about_ca_system_score_gemma":0.00037706236,"threshold_uncertainty_score":0.0087631345},"labels":[],"label_agreement":null},{"id":"W3121330174","doi":"10.22004/ag.econ.165804","title":"Between a Cap and a Higher Price: The Dairy Quota Trilemma","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Inefficiency; Valuation (finance); Agribusiness; Supply management; Agricultural economics; Ceiling (cloud); Microeconomics; Agriculture; Finance","score_opus":0.033408940018124535,"score_gpt":0.20328091049284303,"score_spread":0.1698719704747185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121330174","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2457757,0.0059240446,0.11881379,0.07158219,0.0005609706,0.00019812837,0.0024064712,0.0004581007,0.5542806],"genre_scores_gemma":[0.9812785,0.0006276567,0.004203643,0.0024110444,0.0000969686,0.000040023857,0.00012763227,0.000029884688,0.011184663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985607,0.00030852456,0.00003154318,0.00026691385,0.00043799274,0.0003943204],"domain_scores_gemma":[0.9985567,0.00072750496,0.00021274641,0.000085152344,0.0002952703,0.00012273298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013300033,0.00025869068,0.00050001475,0.00037698937,0.0014813795,0.004710983,0.0007080498,0.0020182119,0.013997282],"category_scores_gemma":[0.0056793224,0.00030853332,0.0006577423,0.0005577341,0.002829392,0.004154241,0.001269203,0.0034017733,0.0006100333],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088258326,0.00004891419,0.0045980834,0.00012823593,0.000025382013,0.00030090316,0.00055996305,0.015447305,0.00092871214,0.9445199,0.013325688,0.02002874],"study_design_scores_gemma":[0.00012708537,0.0002290418,0.032361075,0.0004349622,0.00007501091,0.00028817487,0.0020373566,0.05264248,0.0018906803,0.70118195,0.20856316,0.00016900424],"about_ca_topic_score_codex":0.3121879,"about_ca_topic_score_gemma":0.272479,"teacher_disagreement_score":0.3121879,"about_ca_system_score_codex":0.015914783,"about_ca_system_score_gemma":0.009945472,"threshold_uncertainty_score":0.62074155},"labels":[],"label_agreement":null},{"id":"W3121366028","doi":"10.22004/ag.econ.273575","title":"The Evolution of Male-Female Wages Differentials in Canadian Universities: 1970-2001","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Salary; Earnings; Cohort; Wage; Cohort effect; Demographic economics; Demography; Portrait; Economics; Labour economics; Geography; Sociology; Medicine; Accounting","score_opus":0.0844054693572028,"score_gpt":0.3523235730393741,"score_spread":0.2679181036821713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121366028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965556,0.002084174,0.00034597574,0.0014913072,0.000038705435,0.000033405904,0.018165825,0.00006359994,0.012220935],"genre_scores_gemma":[0.9869489,0.0009254604,0.00029644615,0.0001224891,0.000016754871,0.000014273299,0.0060869707,0.000013497124,0.0055752187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981511,0.000053403684,0.000049812184,0.0002417951,0.00087028684,0.0006334655],"domain_scores_gemma":[0.9949397,0.0003203903,0.00074734195,0.0001555971,0.002911524,0.00092548295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381043,0.00034408967,0.00044606588,0.0055517177,0.0023214524,0.0014644649,0.0013012196,0.00059299247,0.0031976115],"category_scores_gemma":[0.006837619,0.0002794591,0.00044034322,0.0089996345,0.00069614244,0.0005866217,0.000894299,0.0008552142,0.0004474579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025606924,0.000056621717,0.91487783,0.00012662534,0.00010374843,0.00019295469,0.0051071085,0.0012895901,0.0008964464,0.0037043695,0.009252754,0.064135864],"study_design_scores_gemma":[0.0000030101787,0.000008259464,0.9942947,0.000011746322,0.000006960667,0.000021774513,0.00062744756,0.00018800102,0.00010414861,0.000047248195,0.0046759243,0.000010686401],"about_ca_topic_score_codex":0.99148315,"about_ca_topic_score_gemma":0.9944108,"teacher_disagreement_score":0.96215814,"about_ca_system_score_codex":0.037841864,"about_ca_system_score_gemma":0.03058115,"threshold_uncertainty_score":0.27456325},"labels":[],"label_agreement":null},{"id":"W3121407045","doi":"10.22004/ag.econ.99703","title":"Analysis of Value-Added Meat Product Choice Behaviour by Canadian Households","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Private label; Store brand; Product (mathematics); Marketing; Consumption (sociology); Order (exchange); Value (mathematics); Population; Consumer behaviour; National brand; Sample (material); Advertising","score_opus":0.022854212104076482,"score_gpt":0.20815781264708524,"score_spread":0.18530360054300876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121407045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938257,0.0001462309,0.00007769414,0.00006662463,0.0000020814127,0.000039461247,0.003572257,0.0000068978516,0.0022630885],"genre_scores_gemma":[0.99194795,0.00038157907,0.0004086947,0.000047002464,0.0000020743344,0.000033133314,0.003608748,0.0000062645154,0.0035644844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946874,0.000044633314,0.000022678807,0.00007436216,0.00018855503,0.00020105508],"domain_scores_gemma":[0.9988919,0.00008984501,0.00013976873,0.00003983359,0.0006369098,0.00020165682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042145976,0.00038503978,0.00038597453,0.0020775145,0.0031262091,0.0009938282,0.00082288217,0.00026358664,0.0044565406],"category_scores_gemma":[0.0012217241,0.0003360031,0.00076680625,0.0065009855,0.00054713286,0.0002761379,0.0007822705,0.0003328549,0.00050805893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014673758,0.00007992757,0.9772036,0.00007214811,0.00005283173,0.00013761353,0.0047912826,0.0003092884,0.000689168,0.00031070213,0.0016552015,0.014551502],"study_design_scores_gemma":[0.0000033330384,0.00003088944,0.9930032,0.000015451165,0.00001129244,0.00003584506,0.0047659734,0.00053088047,0.00009908367,0.00001728766,0.0014701275,0.000016530963],"about_ca_topic_score_codex":0.9964784,"about_ca_topic_score_gemma":0.99764663,"teacher_disagreement_score":0.023167608,"about_ca_system_score_codex":0.023167608,"about_ca_system_score_gemma":0.015846744,"threshold_uncertainty_score":0.16809356},"labels":[],"label_agreement":null},{"id":"W3121521915","doi":"10.22004/ag.econ.36994","title":"Creating Carbon Offsets in Agriculture through No-Till Cultivation: A Meta-Analysis of Costs and Carbon Benefits","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; University of Victoria","keywords":"Carbon offset; Tillage; Carbon credit; Soil carbon; No-till farming; Agriculture; Carbon fibers; Carbon sequestration; Carbon sink; Environmental science; Carbon accounting; Greenhouse gas; Natural resource economics; Yield (engineering); Fossil fuel; Atmospheric carbon cycle; Carbon dioxide; Agricultural economics; Soil water; Agronomy; Economics; Mathematics; Ecology; Soil science; Engineering; Climate change; Waste management; Soil fertility","score_opus":0.1670051823124323,"score_gpt":0.26724570847734813,"score_spread":0.10024052616491583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121521915","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27347413,0.6996855,0.015580478,0.0020950243,0.00070626976,0.000749667,0.0050658635,0.00040082398,0.0022422604],"genre_scores_gemma":[0.93473446,0.056227855,0.005879339,0.00054564886,0.00013658091,0.00047341333,0.0014021704,0.00008035613,0.00052015384],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9906731,0.006831404,0.0007721982,0.0010742741,0.00042356618,0.00022536895],"domain_scores_gemma":[0.96078277,0.03355529,0.002191722,0.0023562915,0.00067394634,0.00044003397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021255286,0.002275365,0.0073379967,0.0032295773,0.0004037503,0.0021976545,0.0016458537,0.0018375884,0.003640749],"category_scores_gemma":[0.0344939,0.0012308687,0.03704102,0.0034689181,0.0006866372,0.0011925668,0.0009905385,0.0020747406,0.00028494876],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010593139,0.00007988299,0.009483628,0.018352093,0.9458844,0.00015312858,0.000053782005,0.0038070215,0.00037525521,0.00031904416,0.00052156125,0.0103770895],"study_design_scores_gemma":[0.0015437736,0.0004926183,0.0046121785,0.0008643915,0.9899304,0.000060663915,0.00002469377,0.0008959079,0.0002677187,0.00065884227,0.00063307304,0.000015787955],"about_ca_topic_score_codex":0.0063680527,"about_ca_topic_score_gemma":0.0077993735,"teacher_disagreement_score":0.021255286,"about_ca_system_score_codex":0.0017511459,"about_ca_system_score_gemma":0.0014353012,"threshold_uncertainty_score":0.11241001},"labels":[],"label_agreement":null},{"id":"W3121524494","doi":"10.22004/ag.econ.103845","title":"Splendide Mendax: False Label Claims about High and Rising Alcohol Content of Wine","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Conference Board of Canada","funders":"University of California, Davis","keywords":"Wine; Alcohol content; Alcohol; Product (mathematics); Psychology; Ethanol content; Content (measure theory); Advertising; Business; Social psychology; Food science; Mathematics; Biology","score_opus":0.09895251877717834,"score_gpt":0.24908546051689795,"score_spread":0.1501329417397196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121524494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5703125,0.015623077,0.020744694,0.23176013,0.0052184844,0.000035863723,0.002647183,0.00027655662,0.15338154],"genre_scores_gemma":[0.97827315,0.0024751085,0.0022832102,0.00923458,0.002694201,0.000013672236,0.00044115228,0.00006823137,0.0045166714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9933287,0.0022674417,0.0004423224,0.0012546405,0.0024889524,0.00021797707],"domain_scores_gemma":[0.8311688,0.12166721,0.023211215,0.013898503,0.009121757,0.0009325356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010568788,0.0004134954,0.00051487464,0.003189201,0.0017788013,0.003693639,0.0015662921,0.0036399276,0.0060644588],"category_scores_gemma":[0.10675468,0.00031172388,0.00037667467,0.0028253468,0.0103637595,0.004853761,0.0016874397,0.0035610164,0.0007531375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003481739,0.0001550226,0.16845062,0.0010301655,0.0005241522,0.0045733913,0.023797913,0.0016597075,0.004465899,0.50646067,0.11210369,0.173297],"study_design_scores_gemma":[0.00018480349,0.00022257502,0.17988953,0.0015314334,0.00035696107,0.00442145,0.017259536,0.007626424,0.0102740005,0.6059159,0.17197737,0.0003401605],"about_ca_topic_score_codex":0.0042676567,"about_ca_topic_score_gemma":0.0033449363,"teacher_disagreement_score":0.010568788,"about_ca_system_score_codex":0.0013069833,"about_ca_system_score_gemma":0.000370748,"threshold_uncertainty_score":0.05589372},"labels":[],"label_agreement":null},{"id":"W3121683836","doi":"10.22004/ag.econ.274633","title":"Uncertainty in an Interconnected Financial System, Contagion, and Market Freezes","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Bailout; Creditor; Financial system; Business; Financial institution; Lender of last resort; Shock (circulatory); Financial market; Financial contagion; Finance; Central bank; Economics; Financial crisis; Monetary economics; Debt; Monetary policy; Macroeconomics","score_opus":0.02715859684264284,"score_gpt":0.21830446436077822,"score_spread":0.19114586751813537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121683836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8740056,0.00129166,0.11267907,0.0029473335,0.000038075996,0.000029817866,0.00012680252,0.00008937153,0.008792388],"genre_scores_gemma":[0.998326,0.0003104852,0.00084804377,0.000030026904,0.00001776365,0.0000073800693,0.00001542144,0.0000032443315,0.00044181733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999398,0.0002466015,0.000032917942,0.00012262489,0.00009411073,0.00010578166],"domain_scores_gemma":[0.9933221,0.004258441,0.0017777048,0.00022153663,0.00019734981,0.0002228011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018592982,0.00033763563,0.0006621763,0.000752957,0.00059683115,0.0019976688,0.00046707795,0.0013674084,0.0017790723],"category_scores_gemma":[0.010474171,0.0003773937,0.000445267,0.0006667077,0.002247643,0.0029946377,0.0010827694,0.0011122461,0.00007199752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016717409,0.00007259713,0.025783774,0.0001059749,0.00019480757,0.0010278916,0.00095685624,0.45324323,0.0021419576,0.50094634,0.001303247,0.0140561005],"study_design_scores_gemma":[0.000048256934,0.000049073373,0.008408009,0.00003495299,0.000051465937,0.00013525167,0.00036362332,0.5424593,0.0003264837,0.4470727,0.0010109721,0.00003978311],"about_ca_topic_score_codex":0.00707246,"about_ca_topic_score_gemma":0.0032369706,"teacher_disagreement_score":0.00707246,"about_ca_system_score_codex":0.0012003856,"about_ca_system_score_gemma":0.00046813302,"threshold_uncertainty_score":0.014062583},"labels":[],"label_agreement":null},{"id":"W3121711703","doi":"10.22004/ag.econ.34109","title":"THE PRICING OF DEGREE-DAY WEATHER OPTIONS","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Volatility (finance); Econometrics; Index (typography); Asset (computer security); Degree (music); Economics; Actuarial science; Financial economics; Computer science","score_opus":0.043538792973131,"score_gpt":0.2302599799480151,"score_spread":0.1867211869748841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121711703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51885056,0.0013488029,0.45879492,0.0024006085,0.00013683231,0.000055638942,0.00030713592,0.000174619,0.01793086],"genre_scores_gemma":[0.98813057,0.00042225796,0.0075906073,0.00004601469,0.000057264675,0.000016190228,0.00007341929,0.000011671742,0.0036519393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997012,0.00010518322,0.000012580809,0.00004777316,0.000087374196,0.000045789468],"domain_scores_gemma":[0.99957615,0.0001762551,0.00010222356,0.000049477407,0.00003180333,0.00006404318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066972186,0.0005264166,0.0005840687,0.0003442242,0.00037009522,0.0015739985,0.0012869021,0.0017180666,0.0019176286],"category_scores_gemma":[0.002836832,0.00023290791,0.00073983095,0.0004998218,0.0010367621,0.0027089075,0.0008022017,0.0010699374,0.00018335784],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006482853,0.000041430987,0.0028131143,0.000033063305,0.000040868592,0.00024519497,0.00017111933,0.43629354,0.0023392048,0.5511537,0.000850865,0.0059530633],"study_design_scores_gemma":[0.00002030995,0.000033890276,0.0012222289,0.000005765053,0.000008854965,0.00013633017,0.000040637624,0.79261684,0.0002718509,0.20425488,0.0013668863,0.000021558637],"about_ca_topic_score_codex":0.0035822454,"about_ca_topic_score_gemma":0.0022456623,"teacher_disagreement_score":0.0035822454,"about_ca_system_score_codex":0.0008022453,"about_ca_system_score_gemma":0.0004811509,"threshold_uncertainty_score":0.007122755},"labels":[],"label_agreement":null},{"id":"W3121720787","doi":"10.22004/ag.econ.148593","title":"Differential Impacts of Country of Origin Labeling: COOL Econometric Evidence from Cattle Markets","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feeder cattle; Livestock; Differential (mechanical device); Econometric analysis; Country of origin; Agricultural economics; Business; Economics; International trade; International economics; Agricultural science; Geography; Econometrics; Biology","score_opus":0.11186158974503466,"score_gpt":0.2465937600896594,"score_spread":0.13473217034462473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121720787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882697,0.000960184,0.0013449575,0.0006665945,0.000019939533,0.000016700793,0.000714168,0.000021700207,0.007986187],"genre_scores_gemma":[0.9968886,0.0003246022,0.0002240034,0.0001470149,0.000035119614,0.000006030065,0.0008586113,0.000013173636,0.0015028008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866307,0.00063090114,0.000046418136,0.00019328592,0.00021771507,0.00024856185],"domain_scores_gemma":[0.97970355,0.011379378,0.006066201,0.0009182416,0.0012198159,0.00071271777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003464337,0.00025941757,0.0005516473,0.000984143,0.00067150017,0.0027813416,0.00073046266,0.0005996133,0.0063624703],"category_scores_gemma":[0.014668148,0.00019483003,0.00076267065,0.0012317889,0.0014859863,0.0018254973,0.0017938133,0.0019710634,0.0005194967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026953057,0.00096812216,0.8656235,0.00036726295,0.0009356304,0.0010576239,0.0021356074,0.032261893,0.0034912813,0.03666185,0.010806658,0.04299537],"study_design_scores_gemma":[0.00023357452,0.000635482,0.9105101,0.00015407415,0.00074720185,0.00024798707,0.005043805,0.044495083,0.003466872,0.015453934,0.01889654,0.000115356386],"about_ca_topic_score_codex":0.027014567,"about_ca_topic_score_gemma":0.017977048,"teacher_disagreement_score":0.027014567,"about_ca_system_score_codex":0.0013444256,"about_ca_system_score_gemma":0.00051465974,"threshold_uncertainty_score":0.053714633},"labels":[],"label_agreement":null},{"id":"W3121825068","doi":"10.22004/ag.econ.18548","title":"New Aggregate and Source-Specific Pork Import Demand Elasticity for Japan: Implications to U.S. Exports","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumer demand; Economics; Price elasticity of demand; Business; Econometric model; Quality (philosophy); Preference; International trade; Microeconomics; Econometrics","score_opus":0.057071233617126085,"score_gpt":0.21136652552746144,"score_spread":0.15429529191033536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121825068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853365,0.00026912906,0.008768733,0.0002278999,0.000014614811,0.000022398726,0.0012320974,0.00006551734,0.0040631597],"genre_scores_gemma":[0.99351174,0.00022055894,0.0031174133,0.0000411302,0.000010402547,0.000023927692,0.0017310492,0.000024616875,0.0013192383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996264,0.00008322032,0.00003631157,0.00014317318,0.000050345967,0.000060601258],"domain_scores_gemma":[0.99872416,0.00054436486,0.00023379484,0.00014389884,0.00028206877,0.0000717179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013866303,0.0006089459,0.0006156429,0.0009437596,0.00042922446,0.0018844017,0.00040345773,0.0004386858,0.0026204775],"category_scores_gemma":[0.0033220032,0.00045302804,0.001686257,0.0022162483,0.00041788645,0.0012727093,0.0010613378,0.00069532555,0.00028967796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024079195,0.00017850571,0.82385653,0.00024055806,0.00050155784,0.0007382047,0.0015259547,0.13405305,0.0023381833,0.0054446887,0.00273951,0.028142493],"study_design_scores_gemma":[0.000027714792,0.00017445436,0.7662218,0.000077320175,0.00044121468,0.0001713734,0.0038121566,0.21877633,0.0011474482,0.0042798407,0.004768942,0.00010138075],"about_ca_topic_score_codex":0.070575,"about_ca_topic_score_gemma":0.061010372,"teacher_disagreement_score":0.070575,"about_ca_system_score_codex":0.0011944262,"about_ca_system_score_gemma":0.00080630986,"threshold_uncertainty_score":0.1403284},"labels":[],"label_agreement":null},{"id":"W3122086603","doi":"10.22004/ag.econ.274701","title":"Optimal Unemployment Insurance and Redistribution","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Queen's University","funders":"","keywords":"Unemployment; Economics; Redistribution (election); Labour economics; Matching (statistics); Wage; Involuntary unemployment; Bargaining problem; Moral hazard; Margin (machine learning); Income tax; Turnover; Redistribution of income and wealth; Microeconomics; Public economics; Macroeconomics; Incentive","score_opus":0.04862167143325656,"score_gpt":0.23149208426316142,"score_spread":0.18287041282990485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122086603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6890239,0.0019042991,0.2321951,0.005553207,0.00012594374,0.00015746121,0.00058787275,0.00018088295,0.07027131],"genre_scores_gemma":[0.9883179,0.0002918066,0.0031676092,0.00008719395,0.000020933232,0.000031654094,0.000049957274,0.000011826059,0.008021067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99955577,0.00014400575,0.000020048998,0.00007112206,0.00005499719,0.00015401839],"domain_scores_gemma":[0.9992735,0.0002883727,0.0001821344,0.000065366716,0.00006491243,0.00012571656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009384634,0.0003842536,0.00079791405,0.0004956505,0.00057674525,0.0013459534,0.0006221739,0.0011564945,0.0064523867],"category_scores_gemma":[0.0039620236,0.0003196994,0.00045742033,0.00042805722,0.0011620832,0.0018051922,0.0011830864,0.0007647561,0.00038234275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021726965,0.00021363882,0.0030378986,0.00010977841,0.00005404459,0.00017775413,0.00021459446,0.31652915,0.0014478435,0.6558321,0.002471639,0.019694151],"study_design_scores_gemma":[0.00008715588,0.00011695112,0.003419932,0.00011065953,0.0000369896,0.00009130261,0.00029103042,0.44367808,0.0008211649,0.5473116,0.0040109167,0.000024244104],"about_ca_topic_score_codex":0.0040835314,"about_ca_topic_score_gemma":0.0025384726,"teacher_disagreement_score":0.0064523867,"about_ca_system_score_codex":0.0025762084,"about_ca_system_score_gemma":0.0017077755,"threshold_uncertainty_score":0.021585345},"labels":[],"label_agreement":null},{"id":"W3122097285","doi":"10.22004/ag.econ.273660","title":"Monetary Transmission Mechanism in a Small Open Economy: A Bayesian Structural VAR Approach","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Impulse response; Economics; Bayesian vector autoregression; Shock (circulatory); Exchange rate; Small open economy; Interest rate; Monetary economics; Federal funds; Vector autoregression; Econometrics; Bayesian probability; Open economy; Interest rate parity; Macroeconomics; Statistics; Mathematics","score_opus":0.10357810790749446,"score_gpt":0.23011606646746338,"score_spread":0.1265379585599689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122097285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26470956,0.0012031497,0.71122015,0.0033291625,0.00013996707,0.00013942884,0.0012441613,0.00059524,0.017419318],"genre_scores_gemma":[0.9684037,0.0010293577,0.018212909,0.00018640474,0.00013444951,0.00008179107,0.0004624138,0.000059261936,0.011429805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993777,0.00020783418,0.000020306528,0.00013240888,0.00012343301,0.00013830843],"domain_scores_gemma":[0.99816173,0.0011069339,0.00027213772,0.000078372,0.00026079518,0.000120010125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001582822,0.0008349033,0.001421083,0.0011556145,0.0008523831,0.002195535,0.0021162732,0.001680285,0.0036970023],"category_scores_gemma":[0.0061824396,0.0010011266,0.0009011647,0.00093791983,0.0017132383,0.0021873105,0.0012996473,0.001952806,0.00039472722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007946498,0.00004841493,0.0019362705,0.000034668898,0.000067662666,0.00017246528,0.000106354964,0.8561003,0.00048241363,0.13455239,0.0009062623,0.005513229],"study_design_scores_gemma":[0.00002657024,0.0000120157965,0.00051732064,0.000006236169,0.000024893845,0.000016871541,0.000025593274,0.9698141,0.00006629823,0.028937688,0.00053686317,0.00001561744],"about_ca_topic_score_codex":0.20673698,"about_ca_topic_score_gemma":0.12669049,"teacher_disagreement_score":0.20673698,"about_ca_system_score_codex":0.0033189654,"about_ca_system_score_gemma":0.003808528,"threshold_uncertainty_score":0.4110673},"labels":[],"label_agreement":null},{"id":"W3122113869","doi":"10.22004/ag.econ.24034","title":"ASSESSING IMPACTS OF ENVIRONMENTAL CHANGE ON ABORIGINAL PEOPLE: AN ECONOMIC EXAMINATION OF SUBSISTENCE RESOURCE USE AND VALUE","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsistence agriculture; Resource (disambiguation); Value (mathematics); Environmental resource management; Geography; Construct (python library); Business; Natural resource economics; Environmental planning; Economics; Agriculture; Archaeology","score_opus":0.14464348855335435,"score_gpt":0.23789089480667075,"score_spread":0.0932474062533164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122113869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960258,0.00014646954,0.00032036647,0.00018126513,0.0000020273608,0.000057724974,0.00016562136,0.0000015812534,0.0030990886],"genre_scores_gemma":[0.9972799,0.00050769455,0.0011533033,0.000030215104,0.0000073567444,0.000051125957,0.00016699206,0.0000012809879,0.000802078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916196,0.00040436658,0.00003593043,0.00003774796,0.0002348354,0.00012508366],"domain_scores_gemma":[0.9980987,0.00094578264,0.00035368695,0.00008778937,0.00038110674,0.00013296555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017291278,0.00027344885,0.0002203562,0.0020600392,0.0012021053,0.0013851554,0.00035049373,0.0003846832,0.001491682],"category_scores_gemma":[0.0043657282,0.00020114872,0.00044604996,0.0023270084,0.0009387388,0.00094873836,0.0008714222,0.0004271784,0.00012465812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002462059,0.000541186,0.9260272,0.00025259078,0.00022529351,0.0012688318,0.0074573816,0.006289346,0.0015937424,0.0058526793,0.0006802373,0.049565453],"study_design_scores_gemma":[0.00000812869,0.00030269753,0.98020303,0.000041417807,0.000062413485,0.0002816604,0.01129618,0.004041972,0.00042249224,0.0015939574,0.0017254589,0.000020530262],"about_ca_topic_score_codex":0.1038611,"about_ca_topic_score_gemma":0.2074751,"teacher_disagreement_score":0.1038611,"about_ca_system_score_codex":0.004928547,"about_ca_system_score_gemma":0.001788151,"threshold_uncertainty_score":0.2065131},"labels":[],"label_agreement":null},{"id":"W3122140292","doi":"10.22004/ag.econ.24045","title":"NEW GENERATION CO-OPERATIVES (NGC) AS A MODEL FOR VALUE-ADDED AGRICULTURAL PROCESSING IN ALBERTA: APPLICATIONS TO FACTORS AFFECTING CHOICE OF PRICING AND PAYMENT PRACTICES BY TRADITIONAL MARKETING AND NEW GENERATION CO-OPERATIVES","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Alberta; Alberta Agricultural Research Institute","keywords":"Multinomial logistic regression; Payment; Marketing; Business; Value (mathematics); Pooling; Competition (biology); Commodity; Cash; Economics; Finance","score_opus":0.12768551436404257,"score_gpt":0.2970138022787259,"score_spread":0.16932828791468335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122140292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982065,0.000088032815,0.004961695,0.00031501867,0.0000125588895,0.00010793229,0.000074465,0.000029660356,0.0123456195],"genre_scores_gemma":[0.98917866,0.000098814315,0.003262316,0.000020482525,0.00000502181,0.00003582403,0.00008820703,0.0000066305465,0.0073039667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995982,0.0001592949,0.0000061934684,0.00004453878,0.00006442501,0.00012732828],"domain_scores_gemma":[0.9992968,0.00022879995,0.000076138276,0.000027350166,0.0001424454,0.00022848704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008436884,0.0003871399,0.00029019738,0.0006001936,0.0014740411,0.0015002426,0.0010765309,0.00057688355,0.0052409545],"category_scores_gemma":[0.0015646777,0.00015647274,0.00028320024,0.00071339885,0.0009736156,0.0006821355,0.0007913947,0.00057508977,0.00030032962],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011888612,0.0018923196,0.33190814,0.000093058625,0.000092052025,0.001509738,0.0037302375,0.5234813,0.0017214738,0.08241722,0.005041616,0.046924017],"study_design_scores_gemma":[0.000119599004,0.0004437811,0.05084833,0.000028361672,0.000065539476,0.00014805103,0.0075311624,0.9219977,0.00027754882,0.009785688,0.008702005,0.000052192714],"about_ca_topic_score_codex":0.5589203,"about_ca_topic_score_gemma":0.67320853,"teacher_disagreement_score":0.44107968,"about_ca_system_score_codex":0.010944722,"about_ca_system_score_gemma":0.005381917,"threshold_uncertainty_score":0.88735455},"labels":[],"label_agreement":null},{"id":"W3122241998","doi":"10.22004/ag.econ.273749","title":"The CCAPM Meets Euro-Interest Rate Persistence, 1960-2000","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Interest rate; Persistence (discontinuity); Inflation (cosmology); Consumption (sociology); Econometrics; Maturity (psychological); Monetary economics; Physics; Psychology","score_opus":0.18037278766380732,"score_gpt":0.22786333170708697,"score_spread":0.04749054404327965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122241998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80534035,0.004893182,0.029285427,0.013221907,0.0008041993,0.00014986034,0.054536615,0.0008530349,0.090915404],"genre_scores_gemma":[0.9819041,0.0004553681,0.0032264392,0.0003391763,0.00025830918,0.000049075792,0.010562101,0.00010473467,0.0031006802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998993,0.00018994288,0.0001224733,0.00030874085,0.00027154817,0.000114356306],"domain_scores_gemma":[0.9931375,0.0016897669,0.0019230624,0.0012146776,0.0016544966,0.00038055415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025475333,0.00044948384,0.0006831673,0.0008293588,0.00052804936,0.002510717,0.00063679845,0.0009192549,0.0067020888],"category_scores_gemma":[0.020930571,0.00021973078,0.0005350987,0.0021232024,0.00065744185,0.0019247697,0.0008819587,0.0011804855,0.0012142359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001381537,0.00016424066,0.4577886,0.00064192165,0.0004392505,0.0013588794,0.0012103944,0.03707181,0.0018767089,0.21132594,0.1185488,0.16819179],"study_design_scores_gemma":[0.00026709604,0.00020499148,0.6942598,0.0002576036,0.00021694716,0.0012120379,0.00077075843,0.06504672,0.0038462176,0.13109516,0.10273129,0.000091360336],"about_ca_topic_score_codex":0.025523238,"about_ca_topic_score_gemma":0.014758627,"teacher_disagreement_score":0.025523238,"about_ca_system_score_codex":0.0012205667,"about_ca_system_score_gemma":0.0014000202,"threshold_uncertainty_score":0.05074936},"labels":[],"label_agreement":null},{"id":"W3122256400","doi":"10.22004/ag.econ.24124","title":"MODELING RECREATION SITE CHOICE: DO HYPOTHETICAL CHOICES REFLECT ACTUAL BEHAVIOR?","year":2000,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Recreation; Revealed preference; Aggregate (composite); Preference; Aggregate data; Sample (material); Econometrics; Statistics; Computer science; Mathematics; Ecology; Chemistry","score_opus":0.16734090815578126,"score_gpt":0.2656441966147624,"score_spread":0.09830328845898115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122256400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639891,0.00004745994,0.034834206,0.00021734186,0.000005832917,0.00003223039,0.0002408689,0.000036100628,0.00059687643],"genre_scores_gemma":[0.99403524,0.000045745914,0.0052812244,0.000023667979,0.0000050095964,0.000044337823,0.00024819508,0.0000046771534,0.00031199472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981488,0.0013464383,0.00005811897,0.0002302788,0.00011449616,0.000101989914],"domain_scores_gemma":[0.98439276,0.011575817,0.001788339,0.0015750927,0.0004122825,0.0002557214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00489019,0.00041110162,0.00067261624,0.0006574415,0.0002588113,0.0010324386,0.0012613889,0.0010305066,0.0017452468],"category_scores_gemma":[0.033028364,0.0005084259,0.0006887682,0.0011420992,0.0008589648,0.0023375733,0.0005308793,0.00095022557,0.0003307948],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005436592,0.00060504157,0.32388988,0.000090409776,0.00034233887,0.00013913978,0.0006622054,0.63580674,0.0006685066,0.0129283,0.00050568784,0.023817979],"study_design_scores_gemma":[0.000034508917,0.00018264796,0.041857895,0.0000147010605,0.000033274686,0.00005524084,0.0002025119,0.9437082,0.00024959992,0.013325193,0.00031339403,0.000022917544],"about_ca_topic_score_codex":0.010179369,"about_ca_topic_score_gemma":0.011790575,"teacher_disagreement_score":0.010179369,"about_ca_system_score_codex":0.0008109273,"about_ca_system_score_gemma":0.0005924976,"threshold_uncertainty_score":0.025862098},"labels":[],"label_agreement":null},{"id":"W3122260654","doi":"10.22004/ag.econ.23485","title":"DOES EXCHANGE RATE MATTER TO AGRICULTURAL BILATERAL TRADE BETWEEN THE UNITED STATES AND CANAD?","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Exchange rate; Economics; Error correction model; Agricultural economics; Bilateral trade; International economics; Monetary economics; Geography; Econometrics; Cointegration","score_opus":0.05718883431391214,"score_gpt":0.18915398275426495,"score_spread":0.13196514844035281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122260654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545605,0.0070482297,0.0004718212,0.0074930303,0.0002485883,0.000013676999,0.0010419285,0.00002786422,0.02909428],"genre_scores_gemma":[0.99424213,0.0021252418,0.000074423464,0.00039157268,0.00007126816,0.0000021313724,0.00037729376,0.0000099942445,0.0027060213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957377,0.00012800137,0.000019717301,0.00006912463,0.00007105432,0.00013845343],"domain_scores_gemma":[0.9971558,0.0010518114,0.0009107142,0.00012244502,0.00045286323,0.00030635306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090356864,0.00028551547,0.00043534723,0.0009702348,0.00056600623,0.002647185,0.0002250826,0.0006162038,0.004865713],"category_scores_gemma":[0.0059928377,0.000099472825,0.00033152473,0.001887314,0.00056511,0.0010476725,0.00036490703,0.0007490316,0.0005364198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062465924,0.0001015743,0.9242143,0.00009396471,0.00034083615,0.0006973457,0.00084019103,0.0037114352,0.0007081869,0.01438664,0.0065270076,0.04775392],"study_design_scores_gemma":[0.000060911814,0.000077501885,0.96339977,0.00012995697,0.00042037928,0.00024824837,0.0050828652,0.0065391725,0.000647238,0.005737255,0.017615791,0.000040995703],"about_ca_topic_score_codex":0.25481468,"about_ca_topic_score_gemma":0.24775231,"teacher_disagreement_score":0.7451853,"about_ca_system_score_codex":0.0017773405,"about_ca_system_score_gemma":0.0017694944,"threshold_uncertainty_score":0.50666296},"labels":[],"label_agreement":null},{"id":"W3122297281","doi":"10.22004/ag.econ.18154","title":"MODELING ALTERNATIVE ZONING STRATEGIES IN FOREST MANAGEMENT","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"Zoning; Production (economics); Silviculture; Wood production; Forest management; Offset (computer science); Natural resource economics; Business; Triad (sociology); Environmental resource management; Pairwise comparison; Economics; Geography; Forestry; Computer science; Engineering; Civil engineering","score_opus":0.0322011302921785,"score_gpt":0.25313970673121533,"score_spread":0.22093857643903683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122297281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.566519,0.0031672847,0.35571104,0.003630835,0.00018744246,0.00044237368,0.0013714139,0.00033035685,0.06864016],"genre_scores_gemma":[0.9658996,0.00087367283,0.020868586,0.0001005866,0.000029504603,0.00020611474,0.00016256684,0.000038772047,0.0118205445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933773,0.00034969536,0.000018538354,0.00007840794,0.00005170906,0.00016387469],"domain_scores_gemma":[0.9985328,0.0009988873,0.00021165401,0.00004124647,0.00009791883,0.000117469106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016581488,0.00085467775,0.0007779277,0.0011395194,0.0007821476,0.0024971755,0.0014453722,0.0027022182,0.010507122],"category_scores_gemma":[0.004614966,0.00061552733,0.00073792104,0.0014338461,0.0015710522,0.0023025528,0.0013779576,0.0013080543,0.00036001316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000270912,0.000027350641,0.00039054736,0.000020217241,0.000014201564,0.000029748928,0.00003615046,0.96675795,0.00008899287,0.030669482,0.00031083435,0.0016274895],"study_design_scores_gemma":[0.000026571193,0.000024822359,0.00018904568,0.000009408701,0.000010957022,0.0000063341486,0.00008090015,0.98004663,0.000030525152,0.018662963,0.0009050883,0.0000067802075],"about_ca_topic_score_codex":0.04756548,"about_ca_topic_score_gemma":0.04644446,"teacher_disagreement_score":0.04756548,"about_ca_system_score_codex":0.0041186763,"about_ca_system_score_gemma":0.0018362541,"threshold_uncertainty_score":0.09457725},"labels":[],"label_agreement":null},{"id":"W3122407355","doi":"10.22004/ag.econ.23566","title":"PROCESSED FOOD TRADE AND FOREIGN DIRECT INVESTMENT UNDER NAFTA","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"North Dakota State University; U.S. Department of the Treasury","keywords":"Foreign direct investment; International trade; Free trade; International economics; Trade barrier; Economics; Business; Free trade agreement; International free trade agreement","score_opus":0.04465336666385571,"score_gpt":0.1960159258614183,"score_spread":0.15136255919756259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122407355","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1617262,0.046787146,0.0008185822,0.028381724,0.0016539561,0.000071718954,0.006657664,0.00015551051,0.75374746],"genre_scores_gemma":[0.8465562,0.032598317,0.0012829971,0.0029977104,0.00092862255,0.00013819878,0.0069599682,0.00004369532,0.10849438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990864,0.00018951116,0.000063538486,0.00009025337,0.0003376688,0.0002326938],"domain_scores_gemma":[0.9981311,0.0004076255,0.0006372099,0.00006585726,0.000657014,0.00010124539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013442738,0.00033333246,0.00022138937,0.002104933,0.000903007,0.0036457912,0.00029790448,0.0009317438,0.007914342],"category_scores_gemma":[0.0038395151,0.00012390983,0.00029628715,0.0030741508,0.0007534092,0.0014888112,0.00062486413,0.0008019426,0.000799435],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006273459,0.00015848858,0.14205924,0.000698418,0.00020861025,0.00080631924,0.0017823677,0.0026091842,0.0009071144,0.47437343,0.17027451,0.20549494],"study_design_scores_gemma":[0.000082813145,0.00016777782,0.18535377,0.0009030875,0.00010774194,0.00063809764,0.0013084513,0.0014905159,0.000648696,0.016335187,0.7929226,0.000041227388],"about_ca_topic_score_codex":0.056257505,"about_ca_topic_score_gemma":0.048351455,"teacher_disagreement_score":0.9437425,"about_ca_system_score_codex":0.0033695018,"about_ca_system_score_gemma":0.0039956146,"threshold_uncertainty_score":0.1118601},"labels":[],"label_agreement":null},{"id":"W3122611146","doi":"10.22004/ag.econ.98422","title":"The Impact of Agriculture on Waterfowl Abundance: Evidence from Panel Data","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Victoria","keywords":"Waterfowl; Agriculture; Geography; Pasture; Productivity; Wildlife; Abundance (ecology); Wetland; Cropping; Land use; Population; Spillover effect; Agricultural land; Habitat; Ecology; Environmental science; Economics; Biology; Forestry; Demography","score_opus":0.34230803620078587,"score_gpt":0.26885641936082866,"score_spread":0.07345161683995721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122611146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792548,0.0007475529,0.00076964207,0.00034487498,0.000019917165,0.00002414813,0.016932504,0.000023319239,0.0018831979],"genre_scores_gemma":[0.9762249,0.00063736393,0.00047110024,0.00016042417,0.000020704148,0.00002770669,0.021703355,0.000008524236,0.00074584567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783725,0.00096552365,0.00012203458,0.00040529465,0.00040193702,0.00026798458],"domain_scores_gemma":[0.9726763,0.014208314,0.0071832216,0.0023401957,0.002418759,0.0011732713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037584244,0.0003533527,0.00047991166,0.0010255767,0.00056535786,0.00089445966,0.0009630591,0.00073974667,0.0035028677],"category_scores_gemma":[0.009657685,0.000371466,0.0009141963,0.0032031408,0.00053943746,0.00068033254,0.00066612306,0.0008942138,0.00061333244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013639433,0.000075755335,0.99143595,0.000039615752,0.0007209661,0.0000600983,0.00014270931,0.0015475577,0.00008476084,0.000081388476,0.0019667728,0.0037081307],"study_design_scores_gemma":[0.00001409166,0.000052574873,0.9960865,0.000023166778,0.00017818889,0.000021440443,0.00023909389,0.0021843105,0.00009660939,0.00006930743,0.0010208009,0.000013816521],"about_ca_topic_score_codex":0.54506904,"about_ca_topic_score_gemma":0.6224707,"teacher_disagreement_score":0.54506904,"about_ca_system_score_codex":0.0014160607,"about_ca_system_score_gemma":0.0010334989,"threshold_uncertainty_score":0.91522026},"labels":[],"label_agreement":null},{"id":"W3122689683","doi":"10.22004/ag.econ.9232","title":"More Reasons Why Farmers Have So Little Interest in Futures Markets","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Futures contract; Hedge; Certainty; Market neutral; Economics; Risk aversion (psychology); Incentive; Leverage (statistics); Expected utility hypothesis; Argument (complex analysis); Transaction cost; Futures market; Actuarial science; Microeconomics; Financial economics; Mathematics","score_opus":0.04228377548991977,"score_gpt":0.25057527285762793,"score_spread":0.20829149736770816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122689683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7117232,0.0050370633,0.01271668,0.18258162,0.00033255146,0.00005343885,0.00047173767,0.00016360072,0.08692004],"genre_scores_gemma":[0.98656136,0.000840424,0.0008781446,0.0036330733,0.00014532756,0.0000148238205,0.00005590462,0.000022601429,0.007848329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989158,0.0003104036,0.000037773152,0.00024170427,0.00024789124,0.00024645525],"domain_scores_gemma":[0.99536055,0.0020875102,0.001108486,0.00041890054,0.0006366021,0.00038797813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020787052,0.00023135265,0.00039694057,0.0005416829,0.0012163161,0.002341188,0.00054456975,0.0024068751,0.01562683],"category_scores_gemma":[0.011643985,0.00016314736,0.0002962634,0.0007518521,0.0028437711,0.0042531793,0.00096333947,0.0011296172,0.0011819268],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010072142,0.0005222245,0.16730447,0.0009335665,0.00023879194,0.00782457,0.05497396,0.0019096243,0.03236908,0.42622834,0.057864845,0.2488233],"study_design_scores_gemma":[0.0002072296,0.0003059499,0.1788955,0.00044874474,0.000074371506,0.0045012427,0.077287406,0.0027640103,0.00844463,0.5001975,0.22662894,0.00024436135],"about_ca_topic_score_codex":0.0018934312,"about_ca_topic_score_gemma":0.0017632254,"teacher_disagreement_score":0.01562683,"about_ca_system_score_codex":0.0008848234,"about_ca_system_score_gemma":0.00042723664,"threshold_uncertainty_score":0.05227691},"labels":[],"label_agreement":null},{"id":"W3122733952","doi":"10.22004/ag.econ.10543","title":"Catch-Quota Balancing in Multispecies Individual Fishing Quotas","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Alaska Fisheries Science Center; National Oceanic and Atmospheric Administration; McMaster University; Resources for the Future","keywords":"Overexploitation; Incentive; Fishing; Fishery; Business; Fisheries management; Flexibility (engineering); Natural resource economics; Matching (statistics); Sustainability; Economics; Ecology; Microeconomics","score_opus":0.03442591325422139,"score_gpt":0.246038071567497,"score_spread":0.2116121583132756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122733952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8688524,0.00076204975,0.091912664,0.0013408322,0.000053339067,0.00047959955,0.0001286986,0.00013784751,0.0363327],"genre_scores_gemma":[0.9909203,0.00006306082,0.007857643,0.00008266824,0.00001421315,0.00016124905,0.000021218935,0.000007482408,0.00087222265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9832485,0.010927502,0.0009315771,0.0013973478,0.0019084057,0.0015866689],"domain_scores_gemma":[0.9387915,0.041599125,0.010385683,0.005450283,0.0022943497,0.001479003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029501887,0.00038858567,0.0006730286,0.0012118592,0.0012912627,0.0030500235,0.0014048751,0.0018088699,0.0051254937],"category_scores_gemma":[0.058661543,0.00056350266,0.0006294541,0.0014989467,0.0025993588,0.0068898923,0.0025033595,0.0012017402,0.0004259069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018911283,0.0013636654,0.10692236,0.0011244143,0.00030287946,0.0008578913,0.0070692725,0.08336475,0.011086145,0.49563825,0.0024402856,0.28793895],"study_design_scores_gemma":[0.00078201573,0.004247262,0.14240623,0.00085016474,0.0003950953,0.0007748047,0.008567257,0.18658704,0.012335467,0.58658355,0.056138083,0.00033301537],"about_ca_topic_score_codex":0.00263378,"about_ca_topic_score_gemma":0.0032832124,"teacher_disagreement_score":0.029501887,"about_ca_system_score_codex":0.0028208846,"about_ca_system_score_gemma":0.0030184013,"threshold_uncertainty_score":0.15602273},"labels":[],"label_agreement":null},{"id":"W3122777993","doi":"10.22004/ag.econ.35515","title":"An American BSE Crisis: Has it Affected the Value of Traceability and Country-of-Origin Certifications for US and Canadian Beef?","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traceability; Certification; Business; Country of origin; Value (mathematics); Willingness to pay; Agricultural economics; Food safety; Commerce; Marketing; Economics; Food science; Engineering","score_opus":0.04814283064361656,"score_gpt":0.2402844255804957,"score_spread":0.19214159493687916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122777993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96788913,0.00052960805,0.00016745804,0.009826318,0.00006794276,0.000027468932,0.0005225745,0.0000125260285,0.020956961],"genre_scores_gemma":[0.99469936,0.00048267524,0.000075808224,0.001164139,0.00003169072,0.00000493513,0.00022301218,0.0000063573225,0.0033121323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991968,0.00016357446,0.000015432197,0.00008714898,0.00023743969,0.00029960767],"domain_scores_gemma":[0.9946378,0.0012823263,0.0010674818,0.0003726048,0.0016807897,0.00095909263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022708727,0.00022947542,0.00038669235,0.00041343807,0.0017886908,0.0026146465,0.0005488919,0.00182454,0.007452237],"category_scores_gemma":[0.010731016,0.00018254266,0.00028168366,0.0010287572,0.0017839039,0.0013499183,0.00065843225,0.0019827054,0.0004953397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008144304,0.0038651389,0.7946889,0.00020786888,0.00034350285,0.0007828126,0.0030926876,0.00487483,0.007161089,0.030758755,0.040037382,0.10604273],"study_design_scores_gemma":[0.00031035815,0.000641597,0.94764197,0.00006649364,0.000201782,0.00010581886,0.010550613,0.0040541855,0.002176699,0.008528192,0.025611574,0.00011071661],"about_ca_topic_score_codex":0.76912695,"about_ca_topic_score_gemma":0.7704281,"teacher_disagreement_score":0.23087305,"about_ca_system_score_codex":0.009772112,"about_ca_system_score_gemma":0.009465783,"threshold_uncertainty_score":0.46446538},"labels":[],"label_agreement":null},{"id":"W3122902129","doi":"10.22004/ag.econ.273512","title":"Cooperation through Imitation","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Imitation; Outcome (game theory); Cartel; Economics; Microeconomics; Welfare; Psychology; Social psychology; Collusion; Market economy","score_opus":0.08706804009842602,"score_gpt":0.3345623662022349,"score_spread":0.2474943261038089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122902129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48593318,0.00096885394,0.38225168,0.0031685533,0.00010541718,0.00020784805,0.0002867931,0.00029040282,0.12678732],"genre_scores_gemma":[0.98818225,0.00022207353,0.006814452,0.00010836384,0.000029817087,0.00009224574,0.00004466502,0.000016776976,0.0044892333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984921,0.000693221,0.00006200197,0.0003246605,0.00023526372,0.00019261235],"domain_scores_gemma":[0.9949715,0.0024508212,0.0009974315,0.0009644324,0.00028062647,0.00033515834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001770932,0.0005296198,0.0004903231,0.0006173992,0.00076812896,0.0016856638,0.00087548315,0.0013702993,0.004228651],"category_scores_gemma":[0.008999745,0.00023832348,0.0005311729,0.00032111342,0.0024530876,0.0029234788,0.0017175726,0.0008767437,0.00059919193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010824535,0.00008852997,0.0040335874,0.00014916973,0.00011333364,0.0003432136,0.00076655694,0.061492067,0.0062020957,0.9015374,0.0017802557,0.023385469],"study_design_scores_gemma":[0.00005870779,0.00018739344,0.0026684506,0.000047590966,0.000044340497,0.00037702257,0.00027188752,0.17742829,0.0015646232,0.8123115,0.0050032763,0.000037017642],"about_ca_topic_score_codex":0.0010397101,"about_ca_topic_score_gemma":0.0005500396,"teacher_disagreement_score":0.004228651,"about_ca_system_score_codex":0.0010272798,"about_ca_system_score_gemma":0.0007273753,"threshold_uncertainty_score":0.014146268},"labels":[],"label_agreement":null},{"id":"W3122941195","doi":"","title":"The Availability and Cost of Short-Term Trade Finance and its Impact on Trade","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trade finance; Economics; Financial crisis; International economics; Quarter (Canadian coin); Trade barrier; Monetary economics; Finance; Public finance; Macroeconomics","score_opus":0.053325050254558304,"score_gpt":0.23787065427138857,"score_spread":0.18454560401683026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122941195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.958835,0.0056519248,0.0026464926,0.00773798,0.00010211027,0.000014309552,0.0018782594,0.000047344332,0.023086565],"genre_scores_gemma":[0.99751866,0.00061945774,0.00012101358,0.000067370005,0.00009816311,0.0000025694007,0.00023232713,0.000010005344,0.0013304496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991014,0.00032275135,0.000087731525,0.0000998581,0.00020923823,0.00017902165],"domain_scores_gemma":[0.94439274,0.0380092,0.009980321,0.0016697857,0.003143411,0.002804557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025984491,0.00016743851,0.00044729986,0.0013403038,0.0007416281,0.0050520035,0.0006813623,0.0017530734,0.012677316],"category_scores_gemma":[0.024933064,0.00031524,0.00047798688,0.0019548333,0.0015410621,0.0041561276,0.0008804074,0.0022405877,0.00082327274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016394977,0.0005981643,0.8070346,0.00026577676,0.00034383082,0.0011487311,0.0006027471,0.031987555,0.0017615086,0.10229014,0.006514308,0.04581321],"study_design_scores_gemma":[0.00008682855,0.0003538497,0.82723075,0.00017001179,0.00032092957,0.0014373838,0.0018445358,0.041017782,0.0011075403,0.11466243,0.011662268,0.000105726336],"about_ca_topic_score_codex":0.006997129,"about_ca_topic_score_gemma":0.008023899,"teacher_disagreement_score":0.012677316,"about_ca_system_score_codex":0.0023459564,"about_ca_system_score_gemma":0.0010295612,"threshold_uncertainty_score":0.042409837},"labels":[],"label_agreement":null},{"id":"W3122968919","doi":"10.22004/ag.econ.28583","title":"POLLUTION ABATEMENT UNDER LEARNING BY DOING WITH HETEROGENEOUS COSTS","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Discounting; Pollution; Marginal cost; Economics; Price elasticity of demand; Generalization; Maximization; Environmental economics; Natural resource economics; Microeconomics; Mathematics","score_opus":0.0788468913649664,"score_gpt":0.23229662380544344,"score_spread":0.15344973244047705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122968919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7754533,0.00043668778,0.20701379,0.0015000101,0.000043560958,0.00007645004,0.00022092712,0.00009837184,0.015156941],"genre_scores_gemma":[0.99388206,0.00022428147,0.0039621284,0.0000539564,0.000031507203,0.00002614546,0.000022983157,0.0000073714727,0.0017896947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884427,0.0004966838,0.00005794952,0.00026385847,0.00013751931,0.00019961923],"domain_scores_gemma":[0.9932179,0.0037732103,0.0019190646,0.0006667045,0.00023217636,0.00019103553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022082857,0.00076835515,0.00096939073,0.0005372986,0.00047648003,0.001709102,0.0006998766,0.001318261,0.0024101462],"category_scores_gemma":[0.007482206,0.0003338671,0.0007804928,0.00057151745,0.0028143667,0.0031473283,0.0012709608,0.0009923063,0.00017128044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026008923,0.00022479436,0.0055749156,0.000117946074,0.0001281018,0.0002985133,0.00012787234,0.685277,0.0018301134,0.2824031,0.0005373575,0.023220165],"study_design_scores_gemma":[0.000119388,0.00015515766,0.003960756,0.000018330738,0.000059920694,0.00007474111,0.000128457,0.40367535,0.0011715775,0.589717,0.00088614534,0.000033137458],"about_ca_topic_score_codex":0.0034662012,"about_ca_topic_score_gemma":0.0017205528,"teacher_disagreement_score":0.0034662012,"about_ca_system_score_codex":0.0020813884,"about_ca_system_score_gemma":0.00077127264,"threshold_uncertainty_score":0.015101671},"labels":[],"label_agreement":null},{"id":"W3123116664","doi":"10.22004/ag.econ.15838","title":"TIME INCONSISTENT RESOURCE CONSERVATION CONTRACTS","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inefficiency; Payment; Schedule; Resource (disambiguation); Ex-ante; Microeconomics; Externality; Outcome (game theory); Construct (python library); Economics; Business; Computer science; Finance","score_opus":0.02318676372319026,"score_gpt":0.203856143381379,"score_spread":0.18066937965818874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123116664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41709188,0.0005657696,0.48827294,0.0053607775,0.000109948814,0.00020122738,0.0007126018,0.00019851152,0.08748644],"genre_scores_gemma":[0.96315545,0.00024362473,0.029942336,0.0002337272,0.00004273405,0.00014190703,0.00012447264,0.000035682213,0.0060801515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951515,0.0021725514,0.0003158931,0.0007745972,0.0009454731,0.0006399236],"domain_scores_gemma":[0.98403317,0.0070668715,0.004715264,0.0027908531,0.0009397928,0.00045419068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069457884,0.00036492335,0.0008452466,0.00061524374,0.00097502524,0.002810919,0.0017219285,0.0024140049,0.007139158],"category_scores_gemma":[0.019598229,0.00040197853,0.00077900704,0.0010301311,0.0028619517,0.0050059077,0.0012231225,0.0021897294,0.00036415065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036890266,0.000043593893,0.0017896086,0.00004204187,0.000024526827,0.00011933517,0.00020237356,0.028392158,0.0003645306,0.96103114,0.0008999026,0.00705375],"study_design_scores_gemma":[0.0000638629,0.00003896169,0.0015766737,0.00004196035,0.000021778149,0.00016346296,0.00027678782,0.14790194,0.00038896702,0.8436837,0.005816303,0.00002569894],"about_ca_topic_score_codex":0.0021427902,"about_ca_topic_score_gemma":0.0018351392,"teacher_disagreement_score":0.007139158,"about_ca_system_score_codex":0.0022187857,"about_ca_system_score_gemma":0.0016433328,"threshold_uncertainty_score":0.03673327},"labels":[],"label_agreement":null},{"id":"W3123159923","doi":"10.22004/ag.econ.274677","title":"Exchange Rates, Cross-Border Travel, and Retailers: Theory and Empirics","year":2015,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Victoria","funders":"","keywords":"Counterfactual thinking; Shock (circulatory); Exchange rate; Liberian dollar; Destinations; Demand shock; Business; Monetary economics; TRIPS architecture; Economics; Tourism; Finance","score_opus":0.11610943059792342,"score_gpt":0.3071302075337559,"score_spread":0.1910207769358325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123159923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7705837,0.02451827,0.10541273,0.011498909,0.0001628574,0.00011196078,0.0008787672,0.0001267296,0.08670606],"genre_scores_gemma":[0.98362696,0.008995991,0.004097753,0.0002377955,0.00013386038,0.000041271855,0.00018762008,0.000015777896,0.002662877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99944896,0.00030897872,0.00002661251,0.000069316724,0.00007665042,0.00006953841],"domain_scores_gemma":[0.9865078,0.011459584,0.0012103063,0.00036833418,0.0002875906,0.0001664399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017623368,0.0005708549,0.0009221446,0.0019608429,0.0006032593,0.002851097,0.00077638176,0.0013773357,0.007042793],"category_scores_gemma":[0.01189261,0.00047542766,0.00077257614,0.0025675627,0.003181071,0.0032206683,0.001035839,0.0011728414,0.00036997633],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014594216,0.00024730357,0.0743449,0.00029727063,0.00023907743,0.0005449037,0.000650696,0.16120785,0.00014358723,0.72113913,0.0031323624,0.037906885],"study_design_scores_gemma":[0.00014866394,0.00014038447,0.03206655,0.00035129138,0.00018179613,0.0003482617,0.0014469124,0.31739733,0.0002515749,0.63691455,0.010678156,0.000074539785],"about_ca_topic_score_codex":0.020639183,"about_ca_topic_score_gemma":0.008170252,"teacher_disagreement_score":0.020639183,"about_ca_system_score_codex":0.0017263687,"about_ca_system_score_gemma":0.0010407532,"threshold_uncertainty_score":0.041038096},"labels":[],"label_agreement":null},{"id":"W3123182806","doi":"10.22004/ag.econ.59404","title":"Structure and Finances of U.S. Farms: 2005 Family Farm Report","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic Research Service; Simon Fraser University; U.S. Department of Agriculture","keywords":"Family farm; Agriculture; Business; Agricultural economics; Agricultural science; Farm income; Net income; Economics; Geography; Finance","score_opus":0.01486787301569326,"score_gpt":0.19107098357946048,"score_spread":0.17620311056376722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123182806","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36156335,0.0054025096,0.0010387393,0.0077053737,0.000581791,0.00045107034,0.47370088,0.0005023957,0.14905387],"genre_scores_gemma":[0.5762831,0.00657176,0.0028998698,0.0024217593,0.0001912998,0.00050157675,0.29241994,0.00005828047,0.11865238],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993279,0.00006696793,0.000052679854,0.00006295802,0.0003680413,0.00012157787],"domain_scores_gemma":[0.99768376,0.00018815295,0.0006969898,0.000057137673,0.0010232592,0.00035069414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000787008,0.00025010208,0.00013636556,0.001837005,0.0007956821,0.0010137603,0.0004917322,0.0003962298,0.0072063315],"category_scores_gemma":[0.0020519618,0.0002025224,0.000116056704,0.0023703892,0.00011128117,0.00051893375,0.00034221937,0.0004394249,0.0020214126],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008986312,0.00015608313,0.2162521,0.00013158882,0.00004031634,0.00016161993,0.0002991532,0.00062213663,0.00034169175,0.0013914983,0.7406095,0.039904427],"study_design_scores_gemma":[0.000014224546,0.000062530315,0.7380743,0.00012953604,0.000025584925,0.00009415495,0.00080506655,0.0005862508,0.00039443714,0.00020057864,0.25959817,0.000015173362],"about_ca_topic_score_codex":0.13966577,"about_ca_topic_score_gemma":0.25689104,"teacher_disagreement_score":0.13966577,"about_ca_system_score_codex":0.0023733207,"about_ca_system_score_gemma":0.0030758276,"threshold_uncertainty_score":0.27770567},"labels":[],"label_agreement":null},{"id":"W3123198528","doi":"10.22004/ag.econ.236278","title":"A Relational Model for Predicting Farm-Level Crop Yield Distributions in the Absence of Farm-Level Data","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Crop insurance; Metric (unit); Econometrics; Small farm; Volatility (finance); Statistics; Mathematics; Agriculture; Economics; Geography; Operations management","score_opus":0.2124821141941457,"score_gpt":0.28236367042168414,"score_spread":0.06988155622753844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123198528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17367868,0.0004435912,0.81898695,0.0007519044,0.00004712276,0.00008307661,0.0020784251,0.0004961197,0.0034341146],"genre_scores_gemma":[0.93261135,0.0005053844,0.061616566,0.00011663611,0.000046187284,0.00013940783,0.0014824985,0.000055515677,0.0034265164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991315,0.00025334483,0.000059494832,0.0003444632,0.00012469944,0.00008641839],"domain_scores_gemma":[0.9976392,0.0015193381,0.00038725536,0.00012343586,0.000252384,0.00007841618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018825344,0.0005846641,0.0007971795,0.0009792704,0.00037707994,0.0015225381,0.002113715,0.0009825497,0.0018421813],"category_scores_gemma":[0.0048614135,0.0005880469,0.0008971393,0.0014772528,0.0005119735,0.0021859622,0.00095060817,0.001065331,0.00048477217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003904625,0.00003914849,0.008805907,0.000022445374,0.000060648068,0.00010301827,0.00008756423,0.9709641,0.0004384651,0.009211036,0.00043750356,0.0097910715],"study_design_scores_gemma":[0.000002034441,0.000008611413,0.0006568158,0.000002225439,0.00001071065,0.000012922813,0.000010095451,0.9968541,0.00005717832,0.0022380701,0.00014294642,0.0000043105115],"about_ca_topic_score_codex":0.029025441,"about_ca_topic_score_gemma":0.023462543,"teacher_disagreement_score":0.029025441,"about_ca_system_score_codex":0.0015364146,"about_ca_system_score_gemma":0.0009896664,"threshold_uncertainty_score":0.057712972},"labels":[],"label_agreement":null},{"id":"W3123210782","doi":"10.22004/ag.econ.273514","title":"Improving the Reliability of Bootstrap Tests with the Fast Double Bootstrap","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Dalhousie University","keywords":"Replication (statistics); Monte Carlo method; Reliability (semiconductor); Computer science; Statistical hypothesis testing; Algorithm; Statistics; Reliability engineering; Mathematics; Engineering","score_opus":0.11373317057113011,"score_gpt":0.33474409441498154,"score_spread":0.22101092384385143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123210782","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078293765,0.00045100928,0.99012405,0.00023030248,0.00011747308,0.000083692736,0.00007361127,0.0004964056,0.00059405307],"genre_scores_gemma":[0.1926502,0.0006620688,0.8029571,0.0003654515,0.00055808335,0.0006693855,0.0004381369,0.0007663319,0.00093316013],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9290247,0.05289503,0.0024507905,0.004223469,0.010364384,0.0010416241],"domain_scores_gemma":[0.57578975,0.33249286,0.010088405,0.050256293,0.029577782,0.0017949431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0593721,0.0027756896,0.003676547,0.006591539,0.0014246596,0.0030687137,0.004399014,0.003803175,0.004178274],"category_scores_gemma":[0.36367443,0.0014635142,0.0026372354,0.004223073,0.003753268,0.0056831366,0.006823719,0.006000842,0.0028961268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017666954,0.00057382847,0.029593078,0.0016215496,0.00128569,0.0012652787,0.001438154,0.16190752,0.01880113,0.12148618,0.013532954,0.646728],"study_design_scores_gemma":[0.00034196657,0.0006637817,0.00898229,0.0003094379,0.0002752691,0.0010448102,0.00025394652,0.75612223,0.017218206,0.20399676,0.010480695,0.00031064454],"about_ca_topic_score_codex":0.0020529092,"about_ca_topic_score_gemma":0.0014983081,"teacher_disagreement_score":0.0593721,"about_ca_system_score_codex":0.00091678795,"about_ca_system_score_gemma":0.0023444546,"threshold_uncertainty_score":0.3139934},"labels":[],"label_agreement":null},{"id":"W3123253697","doi":"10.22004/ag.econ.24056","title":"Integrating Food Policy with Growing Health and Wellness Concerns: An Analytical Literature Review of the Issues Affecting Government, Industry, and Civil Society","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Relevance (law); Consumption (sociology); Food policy; Public policy; Public health; Obesity; Public health policy; Political science; Food industry; Civil society; Food choice; Environmental health; Business; Health policy; Marketing; Economic growth; Medicine; Food security; Economics; Geography; Sociology; Politics; Social science; Agriculture","score_opus":0.04725628871533492,"score_gpt":0.3256465305692593,"score_spread":0.27839024185392436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123253697","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011232694,0.89286065,0.0021664028,0.04641961,0.00042610496,0.000039847877,0.0001767835,0.000016128442,0.046661794],"genre_scores_gemma":[0.083811745,0.90704775,0.0021744038,0.0041112565,0.0006674803,0.000036397738,0.000100848585,0.000013849427,0.0020362234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99600875,0.001964008,0.0002622967,0.00021927543,0.0012452701,0.00030033287],"domain_scores_gemma":[0.98689634,0.009477497,0.0011500397,0.00015042344,0.0022233399,0.000102500264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005382913,0.0004817661,0.0006688082,0.014458,0.0018505686,0.008662757,0.00065052597,0.0021858143,0.0021427984],"category_scores_gemma":[0.010445712,0.00042197414,0.00056255143,0.034556486,0.004078254,0.0063405316,0.0010750885,0.0013691338,0.0003252333],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049788723,0.0001458095,0.011124963,0.015041164,0.00020418661,0.0012316237,0.015078639,0.0030314615,0.0004372302,0.5245355,0.053796675,0.375323],"study_design_scores_gemma":[0.000017869717,0.0000657854,0.033863407,0.024151977,0.0002511506,0.00077011366,0.05150373,0.0015793813,0.0006591203,0.10845032,0.7786052,0.00008183371],"about_ca_topic_score_codex":0.053993784,"about_ca_topic_score_gemma":0.08441093,"teacher_disagreement_score":0.053993784,"about_ca_system_score_codex":0.012723785,"about_ca_system_score_gemma":0.015804907,"threshold_uncertainty_score":0.10735905},"labels":[],"label_agreement":null},{"id":"W3123301358","doi":"10.22004/ag.econ.24054","title":"PORK MARKET DEVELOPMENT RESEARCH PROJECT: MARKET POTENTIAL FOR ALBERTA'S PORK IN SELECTED U.S. MARKETS","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Geography; Population; Marketing; Business; China; Market research; Conjoint analysis; Red meat; Agricultural economics; Advertising; Preference; Political science; Economics; Sociology; Demography; Food science","score_opus":0.03199895894282719,"score_gpt":0.24995361470688396,"score_spread":0.21795465576405676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123301358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863027,0.00014962038,0.00015560312,0.00016666848,0.000005587182,0.00021929751,0.0022935644,0.000011627452,0.010695364],"genre_scores_gemma":[0.97311854,0.00040087212,0.001546739,0.00013232022,0.000006046151,0.00016418342,0.005456404,0.000009922578,0.019165054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999728,0.000030186186,0.0000062071995,0.000027896793,0.00013556886,0.000072057635],"domain_scores_gemma":[0.9990921,0.00011062209,0.00007531607,0.000019852561,0.0004641167,0.00023805507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007191621,0.0002687525,0.00014056265,0.00160605,0.0019455105,0.0016640242,0.0005966708,0.00026224533,0.0050716083],"category_scores_gemma":[0.0010772245,0.00017113122,0.0002701902,0.0025276453,0.0004916082,0.0005604922,0.00050985755,0.0003823464,0.0003724525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018117264,0.0017139263,0.8809964,0.00019775513,0.00008462299,0.001105038,0.011876828,0.0012371383,0.0053021414,0.0027706872,0.012579184,0.08032455],"study_design_scores_gemma":[0.00005884105,0.00040553426,0.96202224,0.000025230614,0.00003216831,0.000106442276,0.020478424,0.0016546382,0.0009539855,0.00026412966,0.013971506,0.000026937087],"about_ca_topic_score_codex":0.8964015,"about_ca_topic_score_gemma":0.9736951,"teacher_disagreement_score":0.103598475,"about_ca_system_score_codex":0.011609579,"about_ca_system_score_gemma":0.014811443,"threshold_uncertainty_score":0.20841712},"labels":[],"label_agreement":null},{"id":"W3123316881","doi":"10.22004/ag.econ.18996","title":"U.S. and Canadian Livestock Prices: Market Integration and Trade Dependence","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Cointegration; Economics; Market integration; Production (economics); International economics; Agricultural economics; Business; International trade; Geography; Macroeconomics","score_opus":0.052459622546528,"score_gpt":0.19819874636340234,"score_spread":0.14573912381687434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123316881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559912,0.001671501,0.0006349858,0.0019941016,0.00002433119,0.000022170581,0.006244424,0.000032228854,0.033384968],"genre_scores_gemma":[0.9955598,0.00049645995,0.00018152987,0.000057114376,0.000005747245,0.0000032712855,0.0017099788,0.0000060820985,0.001980085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995173,0.000032643562,0.000020085854,0.00007833704,0.00020114347,0.00015041405],"domain_scores_gemma":[0.99762136,0.00035846749,0.00050012476,0.000100303216,0.0011739116,0.0002458696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062526175,0.000230327,0.00034348512,0.0017336872,0.001044372,0.0018409746,0.00039032561,0.00027986738,0.004717487],"category_scores_gemma":[0.0040815133,0.00015742455,0.00056139927,0.0053874333,0.0005734898,0.00070993666,0.000658033,0.000602834,0.0001886062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021768721,0.00003785276,0.93238527,0.00009314394,0.00037094738,0.00032734836,0.0016025569,0.005144086,0.0006373455,0.016654866,0.0079442365,0.034584675],"study_design_scores_gemma":[0.000005409868,0.000009443305,0.9917026,0.000025113075,0.000049590108,0.000027794194,0.0005905402,0.0028988882,0.0001340484,0.0006793298,0.003858658,0.000018566167],"about_ca_topic_score_codex":0.98139507,"about_ca_topic_score_gemma":0.9836699,"teacher_disagreement_score":0.018604934,"about_ca_system_score_codex":0.012657385,"about_ca_system_score_gemma":0.008856316,"threshold_uncertainty_score":0.091836214},"labels":[],"label_agreement":null},{"id":"W3123327980","doi":"10.22004/ag.econ.205702","title":"The economic impact of climate change on cash crop farms in Quebec and Ontario","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"DSSAT; Cropping; Climate change; Cash crop; Vulnerability (computing); Cash; Economic impact analysis; Crop rotation; Crop simulation model; Economic model; Environmental science; Simulation modeling; Natural resource economics; Economics; Agricultural engineering; Production (economics); Agriculture; Geography; Computer science; Engineering; Finance","score_opus":0.028158519126049924,"score_gpt":0.22343645316589156,"score_spread":0.19527793403984164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123327980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99011177,0.0003914957,0.00024548185,0.00062140677,0.000007324751,0.000020005717,0.0017071943,0.000014794992,0.0068804226],"genre_scores_gemma":[0.9974962,0.0002172652,0.00015360446,0.000036824662,0.0000017509253,0.0000071457,0.0003818119,0.000003271178,0.0017020846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999713,0.000060853752,0.000006079148,0.00002641397,0.00006277749,0.00013077879],"domain_scores_gemma":[0.99946064,0.00014173436,0.00007635168,0.000017214561,0.00018791013,0.00011614462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002823661,0.00020432682,0.00016060675,0.00038992992,0.0012558337,0.0010160122,0.00052006275,0.00037616282,0.002328065],"category_scores_gemma":[0.0009743891,0.00011292933,0.0003115429,0.0009904272,0.00049186364,0.00034499724,0.00028995622,0.00019609924,0.0000839203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007838736,0.00012715385,0.66016406,0.0001946483,0.00034611826,0.0020142295,0.0008247919,0.2788927,0.005268066,0.0058066566,0.009575649,0.03600201],"study_design_scores_gemma":[0.00006598894,0.000083227525,0.87822175,0.000041762232,0.00008418794,0.00010499415,0.0023113058,0.108735114,0.0006039654,0.0005575827,0.00913702,0.000053157317],"about_ca_topic_score_codex":0.994206,"about_ca_topic_score_gemma":0.9969529,"teacher_disagreement_score":0.044890165,"about_ca_system_score_codex":0.044890165,"about_ca_system_score_gemma":0.011601364,"threshold_uncertainty_score":0.3257025},"labels":[],"label_agreement":null},{"id":"W3123329564","doi":"10.22004/ag.econ.230597","title":"Assessing SDGs: A New Methodology to Measure Sustainability","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Strengths and weaknesses; Ranking (information retrieval); Sustainable development; Normalization (sociology); Environmental Sustainability Index; Composite index; Computable general equilibrium; Environmental economics; Index (typography); Environmental resource management; Computer science; Composite indicator; Management science; Environmental planning; Political science; Economics; Geography; Econometrics; Macroeconomics","score_opus":0.07186425061478163,"score_gpt":0.2942343414649171,"score_spread":0.22237009085013548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123329564","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070580537,0.0012014451,0.97072834,0.0006977608,0.0002228247,0.0005495541,0.0015918846,0.00072026305,0.017230017],"genre_scores_gemma":[0.1340924,0.0025614847,0.8538626,0.00037518746,0.00016338164,0.0017560425,0.0024655298,0.00041164883,0.004311692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98621327,0.007035334,0.0010470671,0.0015129637,0.0038516456,0.0003396489],"domain_scores_gemma":[0.98966634,0.0051881187,0.0012259249,0.0015483943,0.0020583663,0.0003128263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013385435,0.002982178,0.0016625955,0.016015464,0.0013244881,0.007596535,0.0025890947,0.0014744975,0.0057265093],"category_scores_gemma":[0.021212278,0.00061824126,0.0022392813,0.018252704,0.00506634,0.008216688,0.0059228856,0.0029314486,0.001185841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009545682,0.00015357722,0.014911666,0.001710213,0.00052147434,0.00015977959,0.00344209,0.07596892,0.0021778198,0.5631642,0.0133500295,0.32434472],"study_design_scores_gemma":[0.000044015997,0.00024730162,0.005943687,0.0007829115,0.00015482436,0.00025255588,0.00287061,0.08659084,0.0029552018,0.7287973,0.17118365,0.00017717957],"about_ca_topic_score_codex":0.0074823685,"about_ca_topic_score_gemma":0.0059898756,"teacher_disagreement_score":0.016015464,"about_ca_system_score_codex":0.0046194587,"about_ca_system_score_gemma":0.00586314,"threshold_uncertainty_score":0.070789754},"labels":[],"label_agreement":null},{"id":"W3123352523","doi":"","title":"The poverty impacts of the Doha Round in Cameroon: the role of tax policy","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":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Computable general equilibrium; Poverty; Liberalization; Free trade; International economics; Microsimulation; Tariff; Welfare; Development economics; Economic growth; Macroeconomics","score_opus":0.03934127009121747,"score_gpt":0.21753174837191186,"score_spread":0.1781904782806944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123352523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976533,0.0021508404,0.0013010085,0.0066569466,0.00009298611,0.00006183268,0.00027697693,0.000015108451,0.012911284],"genre_scores_gemma":[0.9973947,0.001149989,0.00024983697,0.00023022709,0.000009489521,0.000016647673,0.00004103942,0.000002826688,0.0009052417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918324,0.00032350107,0.000011969122,0.00003837772,0.00003750354,0.0004053969],"domain_scores_gemma":[0.99863476,0.0006152104,0.00036651117,0.00003156023,0.00019266704,0.00015932161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012401586,0.0005964314,0.00046210643,0.0008040005,0.0012852858,0.002865037,0.00041434693,0.00089883304,0.0028271703],"category_scores_gemma":[0.0030320382,0.00028254677,0.0005554291,0.0010505614,0.0010309623,0.0020494177,0.0015852902,0.0010535879,0.000104752544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031368535,0.0011007668,0.42629772,0.0007606861,0.00075000164,0.008155464,0.0032056454,0.26041245,0.0036855882,0.17372616,0.011645952,0.107122764],"study_design_scores_gemma":[0.00034830338,0.0018483677,0.47705626,0.0010873717,0.0009053708,0.0010432687,0.03450597,0.36567587,0.0063201664,0.06838576,0.042511936,0.00031135185],"about_ca_topic_score_codex":0.10336895,"about_ca_topic_score_gemma":0.08887454,"teacher_disagreement_score":0.10336895,"about_ca_system_score_codex":0.006555033,"about_ca_system_score_gemma":0.0027756658,"threshold_uncertainty_score":0.20553452},"labels":[],"label_agreement":null},{"id":"W3123453563","doi":"10.22004/ag.econ.98686","title":"Research on Socioeconomic Impacts of Chronic Wasting Disease (CWD) in Alberta","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chronic wasting disease; Wasting; Socioeconomic status; Economic growth; Geography; Economic impact analysis; Socioeconomics; Business; Disease; Environmental health; Economics; Medicine; Population","score_opus":0.024541821618812673,"score_gpt":0.27665805062688187,"score_spread":0.2521162290080692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123453563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98125845,0.0023575635,0.0001223492,0.00066392147,0.000014868399,0.00003090786,0.0006462695,0.0000030869255,0.014902456],"genre_scores_gemma":[0.9925769,0.0049619726,0.00028822958,0.00011356941,0.000010582517,0.0000137181405,0.00030787045,0.0000016468764,0.00172553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917054,0.00016613507,0.000025851721,0.000053920423,0.00037285333,0.00021074111],"domain_scores_gemma":[0.9991165,0.00020274417,0.00014434411,0.00002498865,0.0003204119,0.00019101803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010265929,0.00014847306,0.00018146723,0.0014975051,0.0016888035,0.00096792745,0.00043235542,0.00014249257,0.0016794254],"category_scores_gemma":[0.0019231974,0.00008289579,0.00012205978,0.003331619,0.0008006022,0.00024710398,0.00081687694,0.00026008426,0.00006117022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001545422,0.00012913963,0.9224769,0.00028903168,0.00007488976,0.0010086831,0.008933872,0.0006802494,0.00096081477,0.0023506996,0.0014598173,0.061481267],"study_design_scores_gemma":[0.0000035720132,0.000044593973,0.98820657,0.0000677304,0.00001597065,0.00010061932,0.006977515,0.000079201476,0.00009486302,0.0001512513,0.0042530205,0.0000051014413],"about_ca_topic_score_codex":0.9340155,"about_ca_topic_score_gemma":0.9685324,"teacher_disagreement_score":0.06598449,"about_ca_system_score_codex":0.0105720395,"about_ca_system_score_gemma":0.013021305,"threshold_uncertainty_score":0.1327461},"labels":[],"label_agreement":null},{"id":"W3123630768","doi":"10.22004/ag.econ.273611","title":"Wild Bootstrap Tests for IV Regression","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Heteroscedasticity; Econometrics; Confidence interval; Regression; Statistics; Linear regression; Mathematics; Regression analysis; Computer science","score_opus":0.26963282835305624,"score_gpt":0.4046982912113298,"score_spread":0.13506546285827353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123630768","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071451934,0.0003629525,0.9890181,0.00030868145,0.00012852575,0.00008672817,0.0002737663,0.00047828903,0.0021978405],"genre_scores_gemma":[0.34768316,0.0006170638,0.6430609,0.0008334211,0.0005848135,0.0013834207,0.0018990476,0.00081396353,0.00312417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96563905,0.027803458,0.00094434724,0.0020633985,0.0030049828,0.0005446107],"domain_scores_gemma":[0.82826936,0.14149272,0.006289505,0.016855957,0.0058868593,0.0012056241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026399389,0.0011007169,0.0018385577,0.003994934,0.001215205,0.0021706077,0.0034473783,0.0022289793,0.013406454],"category_scores_gemma":[0.21225582,0.0005918477,0.0015925339,0.0042144693,0.0034636587,0.00439858,0.0029776772,0.00405316,0.0029192609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032536255,0.00022106967,0.014910362,0.0003264152,0.00053865084,0.00044987467,0.0003435175,0.04791394,0.0013299368,0.6612747,0.014699395,0.25766683],"study_design_scores_gemma":[0.00011802353,0.00022432566,0.0027176822,0.00016438833,0.00007701207,0.00027417525,0.000145629,0.28920513,0.0016579636,0.69271,0.0126417205,0.00006388192],"about_ca_topic_score_codex":0.0008447007,"about_ca_topic_score_gemma":0.00057513773,"teacher_disagreement_score":0.026399389,"about_ca_system_score_codex":0.00076131563,"about_ca_system_score_gemma":0.0014087458,"threshold_uncertainty_score":0.139615},"labels":[],"label_agreement":null},{"id":"W3123677360","doi":"10.22004/ag.econ.16820","title":"DISCUSSION: CANADIAN CATTLEMEN'S ASSOCIATION","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Association (psychology); Psychology; Psychotherapist","score_opus":0.017604165698594725,"score_gpt":0.22528994362866558,"score_spread":0.20768577793007087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123677360","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008775042,0.0045935772,0.00018391444,0.84624344,0.012886471,0.000060857652,0.00057861675,0.00003862777,0.1266395],"genre_scores_gemma":[0.11494674,0.006751183,0.0005824738,0.5084279,0.0079206545,0.00011882721,0.00042527047,0.00007713725,0.36074975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950976,0.00032938065,0.00014152414,0.0005128317,0.001671247,0.002247368],"domain_scores_gemma":[0.990417,0.0023801522,0.00029428623,0.00028889906,0.0042298846,0.0023897858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004825383,0.00046927767,0.0005307316,0.0019306705,0.026983537,0.006584667,0.0023687298,0.016640052,0.057357106],"category_scores_gemma":[0.013461599,0.0004662963,0.0007715696,0.003110028,0.0043945326,0.00247307,0.0029561638,0.01105092,0.003090898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033658205,0.00001220534,0.0022456262,0.00007080815,0.000010276054,0.00017952318,0.0015845079,0.000030163023,0.00010676784,0.021300271,0.9662171,0.008209152],"study_design_scores_gemma":[0.000012559131,0.0000039281476,0.0046916157,0.000120237266,0.000015595997,0.000058643574,0.0040087327,0.000025155292,0.00005501053,0.0010962747,0.98989046,0.00002177366],"about_ca_topic_score_codex":0.91756904,"about_ca_topic_score_gemma":0.95182836,"teacher_disagreement_score":0.08243096,"about_ca_system_score_codex":0.038612295,"about_ca_system_score_gemma":0.096127346,"threshold_uncertainty_score":0.2801531},"labels":[],"label_agreement":null},{"id":"W3123677690","doi":"10.22004/ag.econ.269755","title":"Unit Versus Ad Valorem Taxes: The Private Ownership of Monopoly In General Equilibrium","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monopoly; Economics; Ad valorem tax; Microeconomics; Welfare; Profit (economics); Partial equilibrium; General equilibrium theory; Public economics; Tax reform; Market economy","score_opus":0.1228068748618032,"score_gpt":0.25006814641783137,"score_spread":0.12726127155602818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123677690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6022349,0.0019698613,0.27803,0.0063393563,0.0000656471,0.00011028684,0.0006793038,0.00014379152,0.110426836],"genre_scores_gemma":[0.9909246,0.0003857398,0.0055440525,0.00014546736,0.00003804672,0.00003731571,0.000060742208,0.000016889315,0.002847069],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982256,0.00088006386,0.000058153717,0.00023912545,0.00019908298,0.0003979374],"domain_scores_gemma":[0.9952775,0.0033296277,0.0005430349,0.00037112585,0.000176101,0.0003026445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030111978,0.00066746806,0.0018740498,0.0010671563,0.0011828335,0.0051703183,0.001340501,0.0022524055,0.0068157897],"category_scores_gemma":[0.008567147,0.0006234263,0.0014914796,0.0010874738,0.0046179243,0.008304029,0.002548864,0.0024986356,0.0003629153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010839383,0.000043186665,0.0009271606,0.00007141801,0.000043195396,0.00011496264,0.00013286035,0.030935647,0.00036013694,0.96236265,0.00081044884,0.0040900265],"study_design_scores_gemma":[0.00003381605,0.000016560696,0.00046827644,0.000019138784,0.000011378298,0.000058159654,0.00007684707,0.045296945,0.000109956745,0.95330054,0.0005957741,0.000012473136],"about_ca_topic_score_codex":0.0035781837,"about_ca_topic_score_gemma":0.0027971058,"teacher_disagreement_score":0.0068157897,"about_ca_system_score_codex":0.003645519,"about_ca_system_score_gemma":0.0012435545,"threshold_uncertainty_score":0.026450276},"labels":[],"label_agreement":null},{"id":"W3123700876","doi":"10.22004/ag.econ.19485","title":"Price Transmission and Food Scares in the U.S. Beef Sector","year":2005,"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":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Error correction model; Producer price index; Transmission (telecommunications); Economics; Information transmission; Food safety; Consumer price index (South Africa); Monetary economics; Business; Index (typography); Agricultural economics; Econometrics; Mid price; Price level; Cointegration; Food science; Monetary policy; Engineering; Telecommunications; Computer science","score_opus":0.027221441588816925,"score_gpt":0.1875384729318685,"score_spread":0.16031703134305159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123700876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808264,0.00013465088,0.00008643378,0.0005004197,0.0000041789203,0.000002292414,0.00009657265,0.000006540889,0.0010862709],"genre_scores_gemma":[0.99948007,0.000109165674,0.000020636195,0.000041757958,0.0000064340866,5.9515526e-7,0.000081523685,0.0000013913891,0.00025849338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973124,0.000071537484,0.000019698491,0.00003002759,0.00008253293,0.00006497171],"domain_scores_gemma":[0.99295795,0.002425343,0.0036380652,0.00019341565,0.0005288636,0.00025628495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075472635,0.00014499186,0.00012772763,0.00067697937,0.00027470023,0.0011870102,0.0001498977,0.0006857609,0.002501799],"category_scores_gemma":[0.006968615,0.00015962539,0.00013245131,0.0010923893,0.00042128947,0.0007535514,0.00038962896,0.0008353282,0.0003269637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005272239,0.00037043556,0.9518679,0.00003281492,0.00007934016,0.00069485453,0.0014014825,0.008371145,0.0027040397,0.002326972,0.0023270485,0.02929672],"study_design_scores_gemma":[0.000021488428,0.00011978668,0.9809178,0.00001975226,0.000026272892,0.00013194428,0.0015471684,0.014392303,0.0006766076,0.0013883377,0.00073863135,0.000019820778],"about_ca_topic_score_codex":0.04170005,"about_ca_topic_score_gemma":0.042743277,"teacher_disagreement_score":0.04170005,"about_ca_system_score_codex":0.0009105405,"about_ca_system_score_gemma":0.00033167365,"threshold_uncertainty_score":0.08291471},"labels":[],"label_agreement":null},{"id":"W3123845705","doi":"10.22004/ag.econ.273746","title":"Precautionary saving and portfolio allocation: DP by GMM","year":2000,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University","funders":"","keywords":"Portfolio; Economics; Consumption (sociology); Portfolio allocation; Econometrics; Parametric statistics; Generalized method of moments; Portfolio optimization; Precautionary savings; Constant (computer programming); Estimation; Microeconomics; Panel data; Computer science; Financial economics; Mathematics; Statistics; Monetary economics","score_opus":0.01776622041947905,"score_gpt":0.2126275055562933,"score_spread":0.19486128513681425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123845705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023202658,0.0009665999,0.9666909,0.0012950929,0.00007309766,0.00012231727,0.0008600443,0.0005574493,0.00623184],"genre_scores_gemma":[0.5449426,0.0028659683,0.4095468,0.00074687105,0.00047072122,0.00095595384,0.0026060382,0.0005753128,0.037289765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989274,0.00061701465,0.000048577436,0.00018198523,0.00012034135,0.00010460324],"domain_scores_gemma":[0.9972332,0.0019686073,0.00019070506,0.00026983052,0.0002548302,0.00008285221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003209522,0.00066517055,0.0021177067,0.0008181167,0.00032283575,0.0015403873,0.0015347506,0.0014278161,0.0057760417],"category_scores_gemma":[0.009759873,0.0009274367,0.0011570856,0.0015590948,0.000946341,0.0013593723,0.0015344364,0.0017698118,0.001188477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007279676,0.000033359345,0.0018523865,0.00010912479,0.00015549806,0.000113504815,0.0001083766,0.8397922,0.00032902492,0.10736735,0.004559548,0.045506805],"study_design_scores_gemma":[0.000019420013,0.000012097991,0.00044152327,0.000014813738,0.000028880762,0.00001863898,0.000017601298,0.9175821,0.00014036667,0.07916118,0.0025517524,0.000011655258],"about_ca_topic_score_codex":0.041184608,"about_ca_topic_score_gemma":0.020102099,"teacher_disagreement_score":0.041184608,"about_ca_system_score_codex":0.0017137023,"about_ca_system_score_gemma":0.002544039,"threshold_uncertainty_score":0.08188975},"labels":[],"label_agreement":null},{"id":"W3123847453","doi":"10.22004/ag.econ.91409","title":"An Overview of Agriculture in the Rural Municipalities of the Lower Souris River Watershed","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Agriculture; Watershed; Livestock; Crop; Watershed area; Agricultural science; Forestry; Agricultural economics; Environmental science; Population; Archaeology; Demography","score_opus":0.05691253890277368,"score_gpt":0.24502080233674012,"score_spread":0.18810826343396644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123847453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8799042,0.020261025,0.00096368947,0.00260868,0.000060994407,0.00038970562,0.03291398,0.00012196143,0.06277591],"genre_scores_gemma":[0.9034018,0.04366246,0.004018325,0.0005212593,0.000045826808,0.00028269706,0.017700423,0.00002914049,0.030338038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958855,0.00006661933,0.000044639175,0.000051485717,0.00012235841,0.00012623453],"domain_scores_gemma":[0.9992537,0.000111128116,0.00012288296,0.000015744838,0.00034800952,0.00014856806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004021782,0.00017483,0.00016975259,0.0049084276,0.0013309219,0.0011242223,0.00038475686,0.0002005996,0.0042147012],"category_scores_gemma":[0.0005128427,0.00018794018,0.00016690801,0.014790993,0.00029890562,0.00043121408,0.0007641019,0.0001792948,0.0004647255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012459328,0.00010588112,0.77831066,0.002624005,0.00008890525,0.0017723644,0.008786044,0.00174589,0.0069435155,0.0023089,0.027795525,0.16939372],"study_design_scores_gemma":[0.0000020427922,0.00003413816,0.94419456,0.00017244364,0.000012474406,0.00020561417,0.008297876,0.00015017869,0.00013154061,0.00008898379,0.046698943,0.000011114686],"about_ca_topic_score_codex":0.5897779,"about_ca_topic_score_gemma":0.8441556,"teacher_disagreement_score":0.4102221,"about_ca_system_score_codex":0.0045210067,"about_ca_system_score_gemma":0.008553525,"threshold_uncertainty_score":0.825276},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.03425905218024955,"score_gpt":0.26673387346960253,"score_spread":0.23247482128935298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123960532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973603,0.0010400405,0.000093813745,0.0005294137,0.0000064869723,0.0000027190445,0.00035085337,0.0000025578477,0.00061375997],"genre_scores_gemma":[0.99892825,0.00057183503,0.000036614143,0.000035769524,0.000005932249,0.0000024055287,0.00014849672,7.387476e-7,0.0002699625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996395,0.00008258827,0.000016778842,0.00003070518,0.000042438543,0.00018794625],"domain_scores_gemma":[0.99896,0.00019115521,0.0005244018,0.000042584863,0.00010611108,0.00017561977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005616053,0.00021099065,0.00018546857,0.0005454417,0.00049143133,0.00082361366,0.0002752896,0.00043745554,0.0016269028],"category_scores_gemma":[0.0025544101,0.00015901831,0.0002254634,0.0007425376,0.00052500877,0.0005401871,0.001070412,0.00064307306,0.00014674228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014380594,0.00009575312,0.98390627,0.000054328993,0.00010307059,0.00082347076,0.00039603267,0.0014779973,0.0008282579,0.00076000247,0.0003401678,0.011070871],"study_design_scores_gemma":[0.0000023137027,0.000053353535,0.9981139,0.000021760872,0.000025495054,0.00017995868,0.00048217917,0.00031909707,0.00012590655,0.00022887306,0.0004440543,0.000003215231],"about_ca_topic_score_codex":0.040065236,"about_ca_topic_score_gemma":0.08426974,"teacher_disagreement_score":0.040065236,"about_ca_system_score_codex":0.0012975476,"about_ca_system_score_gemma":0.0006741089,"threshold_uncertainty_score":0.07966405},"labels":[],"label_agreement":null},{"id":"W3123984515","doi":"10.22004/ag.econ.24050","title":"SUPPLY CHAIN COMPETENCY: RECIPE FOR CEREAL AND LIVESTOCK MARKETING IN ALBERTA?","year":2001,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Business; Marketing; Product (mathematics); Supply chain; Bushel; Agricultural science; Recipe; Livestock; Food science; Mathematics; Geography","score_opus":0.023328697794992595,"score_gpt":0.196252110493936,"score_spread":0.1729234126989434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123984515","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4529799,0.011262484,0.005519582,0.057604223,0.0006054033,0.00042645496,0.0007486424,0.00048650993,0.47036675],"genre_scores_gemma":[0.8373678,0.010066415,0.018488053,0.0022067474,0.00006390942,0.00006328364,0.00057728245,0.000061319064,0.13110524],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99974376,0.000024657757,0.000005720721,0.000019383684,0.00012524093,0.00008122611],"domain_scores_gemma":[0.9996979,0.000015021608,0.000024218354,0.0000074394416,0.000101833255,0.00015366408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040087715,0.00025002056,0.00009697086,0.00077536586,0.0035729306,0.0019393944,0.00060688466,0.0003766095,0.013778598],"category_scores_gemma":[0.00060148496,0.00011503447,0.00014161755,0.001253833,0.00074488524,0.0009579828,0.00078944454,0.00048810575,0.00082896615],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018583337,0.00037993357,0.057081334,0.000699599,0.000013594841,0.0017739016,0.015645754,0.0010202643,0.0063558887,0.041573893,0.09159433,0.7836756],"study_design_scores_gemma":[0.00003495867,0.00016319776,0.29420885,0.0006965877,0.000034603752,0.00057088764,0.06026137,0.0018434386,0.001645974,0.0063169696,0.6341425,0.000080557635],"about_ca_topic_score_codex":0.88841397,"about_ca_topic_score_gemma":0.96234804,"teacher_disagreement_score":0.111586034,"about_ca_system_score_codex":0.019019336,"about_ca_system_score_gemma":0.030743957,"threshold_uncertainty_score":0.22448635},"labels":[],"label_agreement":null},{"id":"W3124207280","doi":"10.22004/ag.econ.280916","title":"Household Decision-Making and Valuation of Environmental Health Risks to Parents and their Children","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Eidgenössische Technische Hochschule Zürich; U.S. Environmental Protection Agency","keywords":"Willingness to pay; Contingent valuation; Valuation (finance); Preference; Economics; Pareto principle; Actuarial science; Marginal utility; Risk perception; Perception; Psychology; Microeconomics","score_opus":0.14310329028080196,"score_gpt":0.24902713707875168,"score_spread":0.10592384679794972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124207280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99460053,0.00008238947,0.003781318,0.00016136015,0.000002280535,0.000009247326,0.00007334142,0.0000036706574,0.0012858724],"genre_scores_gemma":[0.9989349,0.000055276745,0.0008031076,0.000007943899,0.0000013472859,0.000005124449,0.00004313435,6.864255e-7,0.00014854659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980889,0.0015132871,0.000048767997,0.000120361474,0.00011238606,0.00011626783],"domain_scores_gemma":[0.9899268,0.008372252,0.0010227513,0.00041604237,0.00011179063,0.000150427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045415587,0.00031836418,0.00033690638,0.00044755088,0.0002536437,0.0016816661,0.00032392464,0.0006149852,0.0024922902],"category_scores_gemma":[0.013555581,0.00029511465,0.0005425848,0.0005005732,0.00072743424,0.0010364717,0.00052049,0.0005602297,0.00015393301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001036991,0.0004146742,0.75185156,0.00008924608,0.000527558,0.000676147,0.0029354314,0.15326118,0.0009981499,0.036206715,0.000637412,0.051364973],"study_design_scores_gemma":[0.00017458892,0.0008232757,0.48611048,0.000104822946,0.00022866022,0.0005787775,0.008214386,0.40730032,0.0019561762,0.09202678,0.002379937,0.00010180322],"about_ca_topic_score_codex":0.003088946,"about_ca_topic_score_gemma":0.0032614975,"teacher_disagreement_score":0.0045415587,"about_ca_system_score_codex":0.0008968,"about_ca_system_score_gemma":0.00031927117,"threshold_uncertainty_score":0.024018347},"labels":[],"label_agreement":null},{"id":"W3124273731","doi":"","title":"Budget rules and resource booms: a dynamic stochastic general equilibrium analysis","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Public capital; Sovereign wealth fund; Monetary economics; Consumption (sociology); Revenue; Finance; Fiscal policy; Macroeconomics; Foreign direct investment; Public investment","score_opus":0.027283268248991747,"score_gpt":0.2223640382974435,"score_spread":0.19508077004845176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124273731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24997845,0.0015942781,0.6100447,0.0086493725,0.00022045826,0.00023370238,0.0014665149,0.0003605717,0.12745193],"genre_scores_gemma":[0.94336617,0.0012244098,0.023264831,0.0005366796,0.000088459754,0.00021081131,0.00041438357,0.00007481152,0.030819498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959964,0.00015126083,0.000014450216,0.00007270514,0.000054410444,0.0001075951],"domain_scores_gemma":[0.99928313,0.00038374512,0.00014517366,0.000029571047,0.000079874124,0.00007837405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070921,0.00068068114,0.001158579,0.0007568186,0.0007863719,0.002511153,0.0013537148,0.002116388,0.007832565],"category_scores_gemma":[0.0032400847,0.00076331594,0.0011200262,0.0007381823,0.0014627172,0.0025161577,0.0012351542,0.0017311935,0.0005459701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022830633,0.00003067104,0.0010477029,0.000022486669,0.000026007492,0.00013838615,0.00006780169,0.7802484,0.00021010825,0.2146313,0.001444143,0.0021102233],"study_design_scores_gemma":[0.00003329551,0.00002103686,0.0005980783,0.00001837482,0.000014004992,0.000035887468,0.00007588101,0.9071875,0.000050475148,0.08928051,0.0026619777,0.00002295602],"about_ca_topic_score_codex":0.034900434,"about_ca_topic_score_gemma":0.020886142,"teacher_disagreement_score":0.034900434,"about_ca_system_score_codex":0.0028425811,"about_ca_system_score_gemma":0.0021560735,"threshold_uncertainty_score":0.06939459},"labels":[],"label_agreement":null},{"id":"W3124293047","doi":"","title":"Emissions Leakage, Environmental Policy and Trade Frictions","year":2017,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Leakage (economics); Carbon leakage; Tertiary sector of the economy; Manufacturing sector; General equilibrium theory; Economics; Pollution; Small open economy; International economics; Production (economics); Business; Environmental science; Emissions trading; Greenhouse gas; Economy; Microeconomics; Monetary economics; Macroeconomics; Ecology; Exchange rate","score_opus":0.11987182994348926,"score_gpt":0.2649694177871471,"score_spread":0.14509758784365784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124293047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5833954,0.0016305827,0.31595352,0.007773899,0.00015534094,0.00016849257,0.002426324,0.00055194134,0.08794443],"genre_scores_gemma":[0.9831786,0.00052373734,0.0050994563,0.00013929475,0.000017572229,0.0000521186,0.00017074191,0.000022991275,0.010795427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99960274,0.00013961992,0.000013402419,0.000065550346,0.000057265537,0.00012142762],"domain_scores_gemma":[0.9992781,0.00031544728,0.00017244383,0.00008005385,0.000082054714,0.00007179828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007781939,0.00074116787,0.0008937662,0.0009016418,0.0007944937,0.0023093587,0.0012491364,0.0020631156,0.006554536],"category_scores_gemma":[0.002466935,0.00045681835,0.0014453764,0.0014131181,0.0019956117,0.0025621476,0.0013006954,0.0011838913,0.00033406226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055579152,0.00004564593,0.0014154388,0.00003467483,0.000030210398,0.00012781017,0.0000466478,0.8096722,0.00055629504,0.18582967,0.0006145252,0.0015713259],"study_design_scores_gemma":[0.00012810378,0.00006447172,0.0016565192,0.000028460627,0.00005898472,0.00007094805,0.00012381091,0.79507715,0.0005868101,0.19732027,0.0048371805,0.000047283997],"about_ca_topic_score_codex":0.07242173,"about_ca_topic_score_gemma":0.040060733,"teacher_disagreement_score":0.07242173,"about_ca_system_score_codex":0.004192426,"about_ca_system_score_gemma":0.0026251776,"threshold_uncertainty_score":0.14400035},"labels":[],"label_agreement":null},{"id":"W3124532327","doi":"10.22004/ag.econ.7883","title":"Home Bias in U.S. Beer Consumption","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Cooperative State Research, Education, and Extension Service; University of Connecticut","keywords":"Consumption (sociology); Taste; Economics; Advertising; Demographic economics; Business; Food science; Sociology","score_opus":0.09775956975414349,"score_gpt":0.26511530228898045,"score_spread":0.16735573253483696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124532327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956963,0.00019460938,0.00060215325,0.000100400604,0.000006294451,0.0000115522325,0.0020105042,0.000022755343,0.0013555343],"genre_scores_gemma":[0.994662,0.00014688558,0.0004982077,0.00004286976,0.0000050265317,0.000013616896,0.0034850228,0.000009023173,0.00113747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995153,0.0001940671,0.00003464525,0.00011242191,0.000083963256,0.000059562997],"domain_scores_gemma":[0.9983891,0.00063254725,0.00054434733,0.00018606914,0.00018323192,0.000064667714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011566713,0.00021892691,0.00039670453,0.0007717972,0.00027425273,0.0007490163,0.00026942135,0.000366429,0.0028652288],"category_scores_gemma":[0.003297106,0.00018731241,0.0005168636,0.0014351126,0.00019640349,0.00033149726,0.0004665809,0.00033099766,0.00055033853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017259923,0.000091730864,0.9809682,0.000021437134,0.00016234019,0.00008251815,0.00030763805,0.005376825,0.0001905232,0.0009227596,0.0017802558,0.0099231275],"study_design_scores_gemma":[0.00002004141,0.00007063099,0.97921443,0.000016452535,0.00007457892,0.0000750675,0.0004973612,0.0167344,0.00042949634,0.00084610237,0.0020031922,0.000018119723],"about_ca_topic_score_codex":0.101181775,"about_ca_topic_score_gemma":0.13701086,"teacher_disagreement_score":0.101181775,"about_ca_system_score_codex":0.0008751336,"about_ca_system_score_gemma":0.00032438236,"threshold_uncertainty_score":0.20118564},"labels":[],"label_agreement":null},{"id":"W3124594726","doi":"10.22004/ag.econ.273561","title":"Moments of IV and JIVE Estimators","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Estimator; Generalized method of moments; Instrumental variable; Method of moments (probability theory); Econometrics; Mathematics; Applied mathematics; Statistics","score_opus":0.16940304116264068,"score_gpt":0.41228405410127816,"score_spread":0.24288101293863748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124594726","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052467193,0.0005965926,0.99109626,0.00024062616,0.000045704277,0.0000142221015,0.000069265385,0.000059786787,0.0026308496],"genre_scores_gemma":[0.57334733,0.0036450322,0.41119114,0.00061745563,0.00076639367,0.00043910008,0.00065012265,0.00028551105,0.009057934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996689,0.0018290142,0.00015304067,0.0004600865,0.00061477546,0.00025409725],"domain_scores_gemma":[0.9814368,0.013588992,0.0018544681,0.0016903074,0.0011878662,0.00024152423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055321734,0.0005532517,0.0011285433,0.002085615,0.0004176823,0.0020983208,0.0013014115,0.0009798299,0.0036199172],"category_scores_gemma":[0.05119102,0.00052752014,0.00089807075,0.0014587214,0.0018399084,0.0025266996,0.002418178,0.0020259088,0.0006008424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027015938,0.000009663165,0.0018992258,0.00009147527,0.000052459185,0.000097632204,0.000116808675,0.025271114,0.0008203184,0.94586897,0.00093113305,0.024814198],"study_design_scores_gemma":[0.000018487206,0.000053963344,0.00210303,0.00013330414,0.000043015494,0.00028892668,0.00008762181,0.2243746,0.0021631706,0.7573505,0.013337455,0.000045915607],"about_ca_topic_score_codex":0.00067593885,"about_ca_topic_score_gemma":0.0005328986,"teacher_disagreement_score":0.0055321734,"about_ca_system_score_codex":0.0008238562,"about_ca_system_score_gemma":0.0006783385,"threshold_uncertainty_score":0.029257298},"labels":[],"label_agreement":null},{"id":"W3124740989","doi":"10.22004/ag.econ.273748","title":"Information-Theoretic Estimation of Preference Parameters: Macroeconomic Applications and Simulation Evidence","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Queen's University","funders":"","keywords":"Estimator; Generalized method of moments; Econometrics; Monte Carlo method; Aggregate (composite); Iterated function; Method of moments (probability theory); Preference; Estimation; Computer science; Economics; Mathematics; Statistics","score_opus":0.07719856891511931,"score_gpt":0.25144749609686623,"score_spread":0.17424892718174692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124740989","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5743213,0.0048858337,0.4052766,0.003702411,0.00007154076,0.00009698443,0.0003921649,0.00029965074,0.010953495],"genre_scores_gemma":[0.973118,0.0014005594,0.02456055,0.00012677828,0.00005210314,0.0000423952,0.00022978988,0.00003729269,0.00043260134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965668,0.0026763408,0.00011348783,0.00016562661,0.00038059044,0.000097138516],"domain_scores_gemma":[0.8806488,0.10763043,0.004552952,0.004083408,0.0026807191,0.0004036928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0114653,0.0005502748,0.0011456279,0.0016787892,0.00053590414,0.0018078232,0.0012201315,0.0014219501,0.0020670246],"category_scores_gemma":[0.12211692,0.00038597916,0.0005140655,0.0022011916,0.0017854611,0.004304155,0.0011050248,0.0015891289,0.00017537111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032924372,0.00018199791,0.021725755,0.0002793509,0.00026502318,0.00020697959,0.0003357954,0.65175754,0.0003801274,0.27396262,0.0027814377,0.04779404],"study_design_scores_gemma":[0.00007026101,0.000054793636,0.0025246884,0.00005787234,0.00003768207,0.000065511194,0.000086144464,0.84183145,0.000444637,0.15415975,0.00063393166,0.00003339548],"about_ca_topic_score_codex":0.004240699,"about_ca_topic_score_gemma":0.0027343677,"teacher_disagreement_score":0.0114653,"about_ca_system_score_codex":0.0011822387,"about_ca_system_score_gemma":0.0007414306,"threshold_uncertainty_score":0.06063503},"labels":[],"label_agreement":null},{"id":"W3124859436","doi":"10.22004/ag.econ.273637","title":"Encephalization and Division of Labor by Early Humans","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Division of labour; Comparative advantage; Division (mathematics); Economics; Encephalization; Economic geography; Geography; Labour economics; Brain size; International trade; Market economy","score_opus":0.023882247870166216,"score_gpt":0.2873594897573301,"score_spread":0.26347724188716387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124859436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972975,0.00094194163,0.0005562548,0.0006574398,0.000008677729,0.0000031426646,0.000069084315,0.0000052911246,0.024783164],"genre_scores_gemma":[0.9961935,0.00035813454,0.00031743187,0.000044794382,0.000009041843,0.0000038883286,0.0000381879,0.0000036063684,0.0030313039],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982125,0.00008765594,0.000005463548,0.000027258928,0.000017985805,0.000040416227],"domain_scores_gemma":[0.9992712,0.00022217927,0.00020621113,0.00005489812,0.000087777575,0.00015768729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229806,0.00009291776,0.00007722869,0.00039741668,0.00034464878,0.0007426636,0.000103435064,0.00028629808,0.005555141],"category_scores_gemma":[0.0023887246,0.00007295278,0.000053121767,0.0003438616,0.0011798082,0.0005557699,0.0005172863,0.00027995196,0.0004974169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017333699,0.00017151731,0.4072261,0.00013443091,0.0000747179,0.0013954896,0.04576653,0.0030526386,0.022076389,0.26979408,0.004941473,0.24363333],"study_design_scores_gemma":[0.000047911664,0.00020560058,0.8918563,0.00011486079,0.000022088443,0.0014216349,0.009395363,0.0011600944,0.0030383042,0.05911211,0.03358963,0.000036060992],"about_ca_topic_score_codex":0.0024070253,"about_ca_topic_score_gemma":0.004793397,"teacher_disagreement_score":0.005555141,"about_ca_system_score_codex":0.00060115685,"about_ca_system_score_gemma":0.0003272968,"threshold_uncertainty_score":0.018583834},"labels":[],"label_agreement":null},{"id":"W3124908899","doi":"10.22004/ag.econ.127034","title":"Epistemology, Normative Theory and Poverty Analysis:Implications for Q-Squared in Practice","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; University of Toronto","funders":"","keywords":"Normative; Poverty; Interpersonal communication; Dimension (graph theory); Sociology; Positive economics; Epistemology; Mathematics; Economics; Social science; Economic growth; Philosophy; Pure mathematics","score_opus":0.050713419733650865,"score_gpt":0.3460795233945462,"score_spread":0.29536610366089533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124908899","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014567321,0.008544385,0.7603819,0.14681174,0.0012938569,0.0005285389,0.00012069444,0.0002599071,0.067491665],"genre_scores_gemma":[0.5421703,0.003362832,0.44054312,0.0060450444,0.0011538329,0.0024103336,0.000072483934,0.0002497765,0.0039922968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.88145965,0.10389203,0.0033450623,0.0030658278,0.0070014517,0.0012359676],"domain_scores_gemma":[0.5767747,0.3823661,0.006566025,0.014618341,0.01585109,0.003823737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.15345931,0.0015310235,0.0023592846,0.005092053,0.005553092,0.013739497,0.0036542139,0.0061476957,0.01213883],"category_scores_gemma":[0.2686573,0.0010374883,0.0013802444,0.008482408,0.053431228,0.026061991,0.014347236,0.010817745,0.0011659636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003195666,0.00005464276,0.0007386896,0.00017412065,0.000015788373,0.000044411667,0.0021143234,0.0008545398,0.000039133884,0.97541976,0.0015298205,0.018982762],"study_design_scores_gemma":[0.000012016249,0.000013768174,0.00014359456,0.00013680737,0.0000026970467,0.000015449032,0.0010679592,0.0018223749,0.000046694768,0.9926871,0.0040416853,0.0000098855035],"about_ca_topic_score_codex":0.0045300224,"about_ca_topic_score_gemma":0.0037296712,"teacher_disagreement_score":0.15345931,"about_ca_system_score_codex":0.008792497,"about_ca_system_score_gemma":0.013709574,"threshold_uncertainty_score":0.8115801},"labels":[],"label_agreement":null},{"id":"W3124976107","doi":"10.22004/ag.econ.273702","title":"The Stock of Intangible Capital in Canada: Evidence from the Aggregate Value of Securities","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical capital; Stock (firearms); Economics; Cost of capital; Monetary economics; Business; Book value; Fixed capital; Financial economics; Financial capital; Finance; Capital formation; Earnings; Microeconomics; Human capital; Market economy","score_opus":0.04947635133632351,"score_gpt":0.20238374823808636,"score_spread":0.15290739690176286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124976107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698289,0.0016612665,0.000310471,0.0008616886,0.000011841304,0.000025912595,0.013256353,0.000035244255,0.014008412],"genre_scores_gemma":[0.9909733,0.0015175377,0.0002656277,0.00005024244,0.000009814067,0.0000070157043,0.004631169,0.000007423401,0.0025379038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915564,0.000022965698,0.000032834534,0.00007131331,0.0005646556,0.0001524866],"domain_scores_gemma":[0.99390525,0.00045014315,0.0013650154,0.00017496875,0.003492897,0.00061174727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054891146,0.0002634166,0.00032255027,0.003856162,0.0018182297,0.0023934802,0.0008388242,0.0002922325,0.0019418686],"category_scores_gemma":[0.0040406403,0.00019074368,0.00031180502,0.009445677,0.0008088243,0.0008057764,0.0008160625,0.000539716,0.0002537557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019402723,0.000055079752,0.9487243,0.00012397413,0.000119090095,0.00022439762,0.0020407527,0.0021733616,0.00057075435,0.0051249745,0.00683783,0.033811502],"study_design_scores_gemma":[0.0000064154647,0.000014539452,0.9894092,0.000030741794,0.00002719902,0.000046030138,0.00090201054,0.001437698,0.00044520033,0.0003046586,0.0073536104,0.000022542587],"about_ca_topic_score_codex":0.99563307,"about_ca_topic_score_gemma":0.99617416,"teacher_disagreement_score":0.02938536,"about_ca_system_score_codex":0.02938536,"about_ca_system_score_gemma":0.022132853,"threshold_uncertainty_score":0.21320671},"labels":[],"label_agreement":null},{"id":"W3125052421","doi":"10.22004/ag.econ.24079","title":"CONSUMERS, PUBLIC PERCEPTIONS AND BIOTECHNOLOGY","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Perception; Biotechnology; Business; Biology","score_opus":0.35632980821957366,"score_gpt":0.3857292541806835,"score_spread":0.029399445961109827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125052421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92899126,0.0016279923,0.00016297522,0.013755187,0.00005208827,0.000017214985,0.00013034524,0.0000081985945,0.055254668],"genre_scores_gemma":[0.9972072,0.00040501961,0.000028863384,0.00078559254,0.00004738714,0.0000054627767,0.000040889794,0.0000027279118,0.0014768444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987387,0.00051539834,0.00004176891,0.00007944751,0.0004156627,0.00020904621],"domain_scores_gemma":[0.985999,0.0086616315,0.003005369,0.00029907,0.0013118833,0.00072306755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035267917,0.00015119396,0.0001723111,0.0012585765,0.0013263987,0.004461322,0.00018802102,0.0018528487,0.009641399],"category_scores_gemma":[0.011812525,0.00016996961,0.00029249868,0.0010645149,0.0020475325,0.0021298635,0.0009833768,0.0012991083,0.00032632967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010663249,0.0017789403,0.76641273,0.00048218755,0.000120920806,0.0008735203,0.09316116,0.00062619534,0.0019986462,0.038105037,0.015588755,0.0797855],"study_design_scores_gemma":[0.00011288855,0.00039729534,0.7433985,0.00042388856,0.0001550966,0.00040564509,0.18314646,0.0008730621,0.0009958243,0.013394194,0.056622967,0.00007425913],"about_ca_topic_score_codex":0.012251132,"about_ca_topic_score_gemma":0.012713931,"teacher_disagreement_score":0.012251132,"about_ca_system_score_codex":0.0025716336,"about_ca_system_score_gemma":0.0012676192,"threshold_uncertainty_score":0.032253742},"labels":[],"label_agreement":null},{"id":"W3125120422","doi":"10.22004/ag.econ.208242","title":"EVALUATION OF RIVER PORT AND ROAD NETWORKS TO SUPPORT MINERAL DEVELOPMENT IN WESTERN ALASKA","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; Arizona Department of Transportation; U.S. Department of Transportation","keywords":"Port (circuit theory); Environmental science; Net present value; Mineral resource classification; Geography; Water resource management; Environmental resource management; Engineering; Geology; Production (economics)","score_opus":0.04749285895337185,"score_gpt":0.2554936915841949,"score_spread":0.20800083263082303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125120422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98927444,0.00007695575,0.0019859003,0.000048579655,0.000005578549,0.00009149753,0.000097591364,0.000048522146,0.008371005],"genre_scores_gemma":[0.9942227,0.00013840123,0.0034337433,0.0000056467716,0.0000021998756,0.000043555236,0.00011981249,0.0000063080142,0.0020274904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99901557,0.00048469196,0.000029881643,0.000061188206,0.0003024647,0.00010620496],"domain_scores_gemma":[0.99805,0.00075790356,0.00022703237,0.00011089902,0.0005924177,0.0002618535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017340604,0.00050662673,0.00028132644,0.0012957329,0.00062399614,0.0011805282,0.00054904725,0.00040709862,0.0028522955],"category_scores_gemma":[0.00349002,0.00020250677,0.00025467915,0.001031452,0.00036724348,0.0009599279,0.00067095447,0.00025245015,0.00021277086],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018344191,0.0011849232,0.10506896,0.00031523817,0.00017228154,0.0020434693,0.0004899406,0.7660421,0.00810811,0.0076903435,0.0010615735,0.10598858],"study_design_scores_gemma":[0.00038292035,0.0076919603,0.12914969,0.00014997163,0.00052326603,0.0010530828,0.009462892,0.8075233,0.02218489,0.005273268,0.016483633,0.000121141995],"about_ca_topic_score_codex":0.021972774,"about_ca_topic_score_gemma":0.041748676,"teacher_disagreement_score":0.021972774,"about_ca_system_score_codex":0.0020310355,"about_ca_system_score_gemma":0.0017455975,"threshold_uncertainty_score":0.043689787},"labels":[],"label_agreement":null},{"id":"W3125125989","doi":"10.22004/ag.econ.134220","title":"The Influence of Market Returns and Government Payments on Canadian Farmland Values","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Payment; Government (linguistics); Economics; Decoupling (probability); Business; Transfer payment; Finance; Market economy; Welfare","score_opus":0.015423712186486733,"score_gpt":0.19272417529666375,"score_spread":0.17730046311017703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125125989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859132,0.00077426207,0.0005151702,0.00067341846,0.000011566832,0.00001756406,0.005042661,0.000028157963,0.0070239836],"genre_scores_gemma":[0.99585056,0.00041446384,0.00024790154,0.000029139142,0.0000048256557,0.0000041480585,0.0018054633,0.000005961072,0.0016374208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989281,0.00011518442,0.000057251676,0.00014951844,0.00038456373,0.00036538814],"domain_scores_gemma":[0.9951988,0.0010406061,0.0012542519,0.00017422941,0.0019287848,0.00040341655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009920676,0.000313464,0.00037023833,0.0020497104,0.0010757939,0.0020089534,0.00052807125,0.00027626773,0.001633991],"category_scores_gemma":[0.007277514,0.00019972588,0.00052604545,0.0034456307,0.0006358403,0.00070650823,0.0005855229,0.00071119244,0.00019432875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006830288,0.000021269974,0.9774369,0.000028562787,0.00012238053,0.00017384459,0.00041779818,0.0045702863,0.00022033053,0.0016881628,0.001329066,0.013923081],"study_design_scores_gemma":[0.0000026273565,0.000008568902,0.99357283,0.000011320987,0.000024765659,0.000027350676,0.00042629844,0.0031869046,0.00012212622,0.0001230138,0.0024817048,0.0000125620245],"about_ca_topic_score_codex":0.9915149,"about_ca_topic_score_gemma":0.9945663,"teacher_disagreement_score":0.026563453,"about_ca_system_score_codex":0.026563453,"about_ca_system_score_gemma":0.01927788,"threshold_uncertainty_score":0.19273221},"labels":[],"label_agreement":null},{"id":"W3125128179","doi":"10.22004/ag.econ.37023","title":"Resolving Range Conflict in Nevada? Buyouts and Other Compensation Alternatives","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Compensation (psychology); Forage; Grazing; Business; Agricultural economics; Natural resource economics; Economics","score_opus":0.03766749575095076,"score_gpt":0.25035860283957223,"score_spread":0.21269110708862146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125128179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9450998,0.0005367677,0.001631762,0.0034661652,0.00003831424,0.00005613067,0.000044395816,0.00002131793,0.04910546],"genre_scores_gemma":[0.9944851,0.00015965803,0.0011088685,0.00027699315,0.000015967225,0.000027030308,0.000029714462,0.000004053543,0.0038926317],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934405,0.00033360164,0.000022539502,0.000051285944,0.0000778053,0.00017074328],"domain_scores_gemma":[0.9988839,0.00037584812,0.00028122315,0.000086534434,0.0000837957,0.00028866692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021279277,0.00018747878,0.0002357781,0.0004979363,0.0011787113,0.0014511476,0.0007156777,0.0012536454,0.011134234],"category_scores_gemma":[0.0035084113,0.00009400093,0.00011307749,0.00031826764,0.00078427425,0.0014213482,0.001125616,0.00061031216,0.00034749418],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015761846,0.0024185078,0.38605246,0.00044526943,0.00023001965,0.0040059844,0.015469381,0.016197415,0.008631877,0.07807488,0.014959056,0.47193894],"study_design_scores_gemma":[0.000869014,0.002517576,0.41486153,0.0010073432,0.00016618245,0.0037575993,0.17562503,0.049367845,0.004282743,0.12115154,0.22618678,0.00020677302],"about_ca_topic_score_codex":0.013749942,"about_ca_topic_score_gemma":0.07184723,"teacher_disagreement_score":0.013749942,"about_ca_system_score_codex":0.0008388099,"about_ca_system_score_gemma":0.0008673465,"threshold_uncertainty_score":0.037247717},"labels":[],"label_agreement":null},{"id":"W3125325194","doi":"10.22004/ag.econ.145973","title":"Canadian Agrifood Export Performance and the Growth Potential of the BRICs and Next-11","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Us dollar; Value (mathematics); International trade; Economics; International economics; Agricultural economics; Agribusiness; Business; Monetary economics; Agriculture; Geography; Exchange rate","score_opus":0.03627768542211668,"score_gpt":0.16296441976083,"score_spread":0.12668673433871333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125325194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75961363,0.0058649727,0.00038068468,0.010978869,0.00013526306,0.000060137783,0.0487135,0.00017682879,0.174076],"genre_scores_gemma":[0.9510406,0.0023514659,0.00031410073,0.00025459562,0.000016164347,0.000010747628,0.0065142824,0.00004175985,0.039456297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993655,0.000026294974,0.000016643273,0.00005349982,0.0002639526,0.00027406996],"domain_scores_gemma":[0.9967434,0.00015236482,0.00025914054,0.00006398629,0.0021900418,0.000591185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007821729,0.00035778733,0.00026604402,0.003102275,0.003169626,0.0029730715,0.0008149019,0.00046625859,0.014988551],"category_scores_gemma":[0.0031032956,0.00017342984,0.00050013344,0.0072584716,0.00080401613,0.0008542769,0.0009024122,0.0008498479,0.00095080247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007637824,0.00016611323,0.69038993,0.00028916227,0.00025945617,0.0007123897,0.005274775,0.004161474,0.0008872177,0.08858497,0.118327916,0.09018274],"study_design_scores_gemma":[0.000032021137,0.000033099343,0.8947716,0.00010304984,0.000078082354,0.00009053653,0.005379183,0.00166544,0.0004104929,0.0017932167,0.09556924,0.00007397795],"about_ca_topic_score_codex":0.998281,"about_ca_topic_score_gemma":0.9993711,"teacher_disagreement_score":0.06410737,"about_ca_system_score_codex":0.06410737,"about_ca_system_score_gemma":0.046165604,"threshold_uncertainty_score":0.46513373},"labels":[],"label_agreement":null},{"id":"W3125354339","doi":"10.22004/ag.econ.273433","title":"Domestic Violence, Employment and Divorce","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intimate Partner and Family Violence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Western University","funders":"","keywords":"Spouse; Domestic violence; Stylized fact; Construct (python library); Psychology; Abusive relationship; Demographic economics; Criminology; Social psychology; Suicide prevention; Poison control; Economics; Political science; Medicine; Medical emergency; Law","score_opus":0.04793231288241058,"score_gpt":0.3078925506800987,"score_spread":0.2599602377976881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125354339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926725,0.0011434718,0.0006989116,0.00095083704,0.00002295162,0.000009433413,0.00043774743,0.000008144372,0.0040559587],"genre_scores_gemma":[0.9962374,0.0009655775,0.0001649558,0.000053678014,0.000018555953,0.000007687917,0.0002898006,0.0000028346692,0.0022595248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956554,0.00017882662,0.000022792414,0.00004613732,0.00008394178,0.00010278789],"domain_scores_gemma":[0.99794,0.0009254294,0.00060884183,0.00009151324,0.000081026614,0.00035319777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007804961,0.0002467033,0.00033731584,0.00049274496,0.0006741015,0.0009753175,0.00034614123,0.00047950857,0.0071484046],"category_scores_gemma":[0.004259555,0.0002233252,0.00031292267,0.0006644191,0.00067037065,0.0005470891,0.0011237577,0.00062982494,0.00041850316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059560007,0.00011379466,0.9781764,0.000034612134,0.00009894896,0.00018961228,0.00051193463,0.0043276106,0.000060918785,0.0034807571,0.0014770422,0.011468816],"study_design_scores_gemma":[0.000030178659,0.0002096055,0.9690708,0.00012710187,0.000092142946,0.0004144458,0.003315663,0.014376564,0.00018973951,0.0063892733,0.0057664937,0.00001792368],"about_ca_topic_score_codex":0.039586224,"about_ca_topic_score_gemma":0.051401153,"teacher_disagreement_score":0.039586224,"about_ca_system_score_codex":0.0007844891,"about_ca_system_score_gemma":0.0010078235,"threshold_uncertainty_score":0.07871157},"labels":[],"label_agreement":null},{"id":"W3125417866","doi":"10.22004/ag.econ.49318","title":"'Pocket and Pot': Hypothetical Bias in a No-Free-Riding Public Contribution Game","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public good; Free riding; Public goods game; Economics; Sample (material); Dictatorship; Investment (military); Service (business); Microeconomics; Private good; Public economics; Political science; Politics","score_opus":0.08730076961228124,"score_gpt":0.30796803846879883,"score_spread":0.2206672688565176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125417866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428125,0.00005765616,0.03816523,0.0018714092,0.000042116546,0.00027339024,0.000082083425,0.000067255976,0.016628318],"genre_scores_gemma":[0.9916339,0.000026147989,0.00622387,0.00022694652,0.0000062106797,0.000076146716,0.00001755451,0.0000063889365,0.0017827316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9942675,0.004274794,0.00018353558,0.00030545346,0.0006701995,0.00029866773],"domain_scores_gemma":[0.9762561,0.018479688,0.0022899306,0.0014722036,0.0005194227,0.0009826989],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007964666,0.00040641634,0.0007034366,0.00032753462,0.0005702896,0.0013968652,0.0006886747,0.0013354192,0.0029588365],"category_scores_gemma":[0.041788314,0.00025165518,0.00030874283,0.00021667955,0.002502362,0.0018880194,0.0009901036,0.0012816638,0.00028843756],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01272189,0.0023159212,0.09734107,0.000568769,0.00045283663,0.0020300527,0.01265647,0.07132074,0.045575492,0.62202585,0.007309127,0.12568185],"study_design_scores_gemma":[0.0016931073,0.003535184,0.058688745,0.00016712009,0.00021799127,0.00097521907,0.003863533,0.44097176,0.010951951,0.46603352,0.01260341,0.00029850937],"about_ca_topic_score_codex":0.0024671918,"about_ca_topic_score_gemma":0.0031539402,"teacher_disagreement_score":0.9920353,"about_ca_system_score_codex":0.0014367863,"about_ca_system_score_gemma":0.0010657945,"threshold_uncertainty_score":0.04212171},"labels":[],"label_agreement":null},{"id":"W3125472287","doi":"10.22004/ag.econ.52087","title":"Consumer Attitudes, Willingness to Pay and Revealed Preferences for Different Egg Production Attributes: Analysis of Canadian Egg Consumers","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Goddard Space Flight Center","keywords":"Purchasing; Willingness to pay; Preference; Consumption (sociology); Business; Animal welfare; Welfare; Marketing; Economics; Biology; Ecology","score_opus":0.03932914941508092,"score_gpt":0.2326490277328321,"score_spread":0.1933198783177512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125472287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990884,0.000023590728,0.000027439053,0.000033838307,6.436016e-7,0.000015140904,0.00017473164,8.9582716e-7,0.0006354214],"genre_scores_gemma":[0.9986089,0.000051561867,0.000115155075,0.000025346393,8.383944e-7,0.00001126212,0.00041218864,0.0000012118096,0.0007735029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994785,0.00006502241,0.00002021756,0.000048611928,0.00025035796,0.00013734089],"domain_scores_gemma":[0.9978738,0.0006722469,0.00031926655,0.00008724018,0.00070358143,0.00034382558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088305894,0.0002583013,0.0002243188,0.00087092613,0.0017913405,0.0009709311,0.0005409133,0.00054790056,0.0029459847],"category_scores_gemma":[0.0036898823,0.00025548608,0.0007818413,0.0019776884,0.00084154506,0.00031877175,0.00046161047,0.00064461445,0.0002034908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038382394,0.00023861919,0.9819286,0.000035812387,0.00006864077,0.000186263,0.008218823,0.0004963386,0.00080376846,0.00032711413,0.0005181621,0.0067940215],"study_design_scores_gemma":[0.0000106724165,0.00006311567,0.9916186,0.00000765693,0.00001503074,0.000037574002,0.0062140445,0.0013651479,0.000076280725,0.000037227273,0.00053318817,0.000021396303],"about_ca_topic_score_codex":0.9643146,"about_ca_topic_score_gemma":0.96718216,"teacher_disagreement_score":0.03568542,"about_ca_system_score_codex":0.011421768,"about_ca_system_score_gemma":0.0053766156,"threshold_uncertainty_score":0.08287114},"labels":[],"label_agreement":null},{"id":"W3125480954","doi":"10.22004/ag.econ.273591","title":"Impacts of the Point System and Immigration Policy Levers on Skill Characteristics of Canadian Immigrants","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Fluency; Demographic economics; Point (geometry); Dimension (graph theory); Percentage point; Economics; Econometrics; Psychology; Statistics; Geography; Mathematics; Mathematics education","score_opus":0.011982898513367587,"score_gpt":0.23027110064640824,"score_spread":0.21828820213304065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125480954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663323,0.00009146875,0.00009649883,0.00022403637,0.0000033489512,0.000009153458,0.0003879263,0.0000043452583,0.0025500779],"genre_scores_gemma":[0.9986864,0.00011127918,0.00011003142,0.000030344148,0.000003089473,0.000004455533,0.00028330143,0.0000019074253,0.0007691855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862134,0.00023736541,0.000051971383,0.00012650111,0.0004829742,0.0004797557],"domain_scores_gemma":[0.99610126,0.00079831545,0.001088386,0.00017008427,0.0009898038,0.0008521206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014754062,0.00017784449,0.00025305018,0.0012637929,0.0013616217,0.0011647402,0.00048078643,0.00028285728,0.0021263408],"category_scores_gemma":[0.00807606,0.00012249014,0.00025840572,0.0019774719,0.0008611415,0.00034037515,0.0010185572,0.00046559793,0.00016054812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017370471,0.00005024407,0.9708585,0.000029103452,0.000069050824,0.00009501917,0.000996955,0.0030318918,0.001199317,0.002070094,0.00070499914,0.020721188],"study_design_scores_gemma":[0.0000036778317,0.000028948067,0.99725467,0.0000073754895,0.000012289853,0.000011636208,0.0008622999,0.0006259509,0.000140633,0.00007628938,0.00096732186,0.000009011072],"about_ca_topic_score_codex":0.90364,"about_ca_topic_score_gemma":0.9561638,"teacher_disagreement_score":0.09636003,"about_ca_system_score_codex":0.011068244,"about_ca_system_score_gemma":0.011379881,"threshold_uncertainty_score":0.19385499},"labels":[],"label_agreement":null},{"id":"W3125537849","doi":"10.22004/ag.econ.20614","title":"LABOR MARKET BEHAVIOR IN WASHINGTON: A COINTEGRATION APPROACH","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Population; Quarter (Canadian coin); Labour economics; Demographic economics; Investment (military); Short run; Unit (ring theory); Population growth; Econometrics; Monetary economics; Demography; Political science; Geography","score_opus":0.04921078275688256,"score_gpt":0.22232239339474635,"score_spread":0.1731116106378638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125537849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9306446,0.0017360457,0.04948268,0.0015856813,0.000085103646,0.00010646552,0.00071629067,0.000099609126,0.015543444],"genre_scores_gemma":[0.9894972,0.0010186251,0.0027510957,0.00006983866,0.00004793943,0.000068434114,0.00034730588,0.000012903867,0.006186725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949396,0.00022594829,0.000018991774,0.00010670569,0.000051290946,0.00010320003],"domain_scores_gemma":[0.99928457,0.00044864434,0.00013291396,0.000036616304,0.000055654313,0.000041571242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009224996,0.0003485913,0.0006117486,0.0019532524,0.00069409906,0.0018233012,0.0004939929,0.001158196,0.006350507],"category_scores_gemma":[0.002708293,0.00031659595,0.0007019677,0.0023480095,0.0005480411,0.0013257987,0.0006103474,0.0010278524,0.0005695256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030635737,0.00093101553,0.40858254,0.00022196825,0.00094452046,0.0034354061,0.0026491047,0.2513856,0.0022774148,0.22673367,0.006813424,0.09571907],"study_design_scores_gemma":[0.00004764229,0.0002343464,0.12411685,0.00011380446,0.00020750798,0.00020008688,0.0015154232,0.8251367,0.0003633701,0.036864817,0.011136913,0.00006252703],"about_ca_topic_score_codex":0.045623727,"about_ca_topic_score_gemma":0.034639936,"teacher_disagreement_score":0.045623727,"about_ca_system_score_codex":0.0010380455,"about_ca_system_score_gemma":0.00072786416,"threshold_uncertainty_score":0.0907163},"labels":[],"label_agreement":null},{"id":"W3125546336","doi":"10.22004/ag.econ.273530","title":"Inference via Kernel Smoothing of Bootstrap P Values","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University","funders":"","keywords":"Resampling; Inference; Mathematics; Statistics; Smoothing; Statistical hypothesis testing; Bootstrapping (finance); Kernel (algebra); Statistic; Test statistic; Range (aeronautics); Kernel smoother; Null hypothesis; Kernel method; Statistical inference; Computer science; Econometrics; Artificial intelligence; Support vector machine; Discrete mathematics","score_opus":0.15524004853445492,"score_gpt":0.37205629211719016,"score_spread":0.21681624358273524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125546336","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062812883,0.00016844904,0.99239856,0.00009854702,0.000038598377,0.000035827437,0.000064569685,0.0004618055,0.00045233642],"genre_scores_gemma":[0.39260557,0.00073142577,0.60237736,0.00025951507,0.00035395825,0.0005466939,0.0007192731,0.0004273656,0.0019789322],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9900705,0.006085011,0.00047278454,0.0016256621,0.0014735968,0.0002724713],"domain_scores_gemma":[0.91461396,0.06709993,0.0038359903,0.010603141,0.0033583783,0.0004886001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021758929,0.000998247,0.0018191775,0.0035874848,0.000850624,0.0022130357,0.0025471128,0.0013657542,0.0039859693],"category_scores_gemma":[0.1654412,0.00081806566,0.0013888784,0.0026726678,0.0019677924,0.0034148847,0.0023687368,0.0031213998,0.0016731046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006967755,0.0002610088,0.017344631,0.0006465875,0.0008693525,0.00092627475,0.0006563691,0.19483644,0.0056471606,0.36106107,0.011389778,0.40566453],"study_design_scores_gemma":[0.00007676137,0.00008233314,0.0036653434,0.000077330216,0.000065592765,0.0001853139,0.00007507635,0.63082606,0.002553905,0.35850525,0.0038416134,0.0000454718],"about_ca_topic_score_codex":0.002031336,"about_ca_topic_score_gemma":0.0015696491,"teacher_disagreement_score":0.021758929,"about_ca_system_score_codex":0.0008059461,"about_ca_system_score_gemma":0.0015101626,"threshold_uncertainty_score":0.11507356},"labels":[],"label_agreement":null},{"id":"W3125705868","doi":"10.22004/ag.econ.95800","title":"Everything is on the Table: Agriculture in the Canada-EU Trade Agreement","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Tariff; International trade; Liberalization; Negotiation; Business; International economics; Market access; Agreement on Agriculture; Trade barrier; Economics; Free trade; Agricultural economics; Table (database); Geography; Market economy; Political science","score_opus":0.06216366578576587,"score_gpt":0.19518451990303165,"score_spread":0.13302085411726577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125705868","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046543602,0.03044148,0.0035157227,0.2627345,0.0034683538,0.000048796755,0.0036162985,0.00019450173,0.6494367],"genre_scores_gemma":[0.6772413,0.019599793,0.0040278244,0.041143406,0.0006721792,0.000036729358,0.0020727345,0.00014296181,0.255063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973902,0.00023611475,0.000047418802,0.00019619006,0.0011618993,0.00096817926],"domain_scores_gemma":[0.99827814,0.000247116,0.00005625208,0.0000759728,0.0009447266,0.00039774436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012474046,0.00030984712,0.00030674014,0.0016388351,0.00876063,0.011755542,0.00071121816,0.0029950521,0.015531102],"category_scores_gemma":[0.0037170053,0.00013559718,0.00032065698,0.004311545,0.0028914544,0.002862104,0.0012472384,0.002325458,0.0011433973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008443826,0.000023383947,0.0057373457,0.00010925382,0.000024865129,0.00038338447,0.0015981355,0.0016627259,0.00025786902,0.60230726,0.3337598,0.054051466],"study_design_scores_gemma":[0.000010703408,0.000006416998,0.012267326,0.0001955378,0.000014174088,0.000066198205,0.002541553,0.00057164853,0.00021841712,0.03368817,0.9503651,0.000054782562],"about_ca_topic_score_codex":0.9678935,"about_ca_topic_score_gemma":0.9784645,"teacher_disagreement_score":0.047330566,"about_ca_system_score_codex":0.047330566,"about_ca_system_score_gemma":0.06683974,"threshold_uncertainty_score":0.34340888},"labels":[],"label_agreement":null},{"id":"W3125707601","doi":"","title":"Trade linkages and macroeconomic effects of the price of oil","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oil price; Economics; Shock (circulatory); Oil-storage trade; Oil supply; Monetary economics; China; Demand shock; International economics","score_opus":0.019979777314527773,"score_gpt":0.1987420709317162,"score_spread":0.17876229361718843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125707601","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914874,0.0005293404,0.0022988298,0.00036645008,0.00002466162,0.000009178765,0.00038440243,0.000041105977,0.004858663],"genre_scores_gemma":[0.9985776,0.00036291723,0.00013422534,0.000015539059,0.000017057337,0.0000028731106,0.00015702324,0.0000064371475,0.0007264123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998555,0.000038119768,0.000012925664,0.000025578443,0.000026927428,0.000040936146],"domain_scores_gemma":[0.99843735,0.0005994292,0.00070432463,0.00007139878,0.00008044971,0.00010704427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003747978,0.00030011064,0.00034035664,0.0008815234,0.00024327807,0.0021979704,0.0001912319,0.00071562483,0.005132706],"category_scores_gemma":[0.0027322257,0.0002740784,0.00048476845,0.0011528054,0.0004376428,0.0013187897,0.00088756427,0.00072234747,0.00041092432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001534265,0.0004750283,0.6161639,0.00021043138,0.0010021161,0.002356041,0.00037268706,0.2920272,0.012264096,0.046342812,0.0019069852,0.02534447],"study_design_scores_gemma":[0.0001691717,0.00062809885,0.6708638,0.000071524235,0.000457452,0.00049016066,0.0009425963,0.24659224,0.005875609,0.06752622,0.0062625185,0.000120625395],"about_ca_topic_score_codex":0.0028924071,"about_ca_topic_score_gemma":0.0022955409,"teacher_disagreement_score":0.005132706,"about_ca_system_score_codex":0.00049357844,"about_ca_system_score_gemma":0.0002321583,"threshold_uncertainty_score":0.017170608},"labels":[],"label_agreement":null},{"id":"W3125717353","doi":"10.22004/ag.econ.273452","title":"The Theory and Practice of Equalization","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Equalization (audio); Equity (law); Public economics; Economics; Computer science; Business; Political science; Telecommunications; Law","score_opus":0.03892119521439373,"score_gpt":0.31250085685973056,"score_spread":0.2735796616453368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125717353","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016484832,0.015219168,0.25961018,0.055087395,0.0012506305,0.00011113832,0.00022714309,0.00022234756,0.65178716],"genre_scores_gemma":[0.87010485,0.0094440235,0.042052116,0.006144218,0.0024663594,0.00041360056,0.0001130585,0.00020558808,0.069056205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9919743,0.0039630216,0.00030895998,0.0013338208,0.0016625524,0.000757322],"domain_scores_gemma":[0.99433917,0.003253133,0.00043339792,0.0012417218,0.00056599965,0.0001666507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071243285,0.0006041592,0.0011021743,0.002331973,0.0038316264,0.0059410324,0.0020500948,0.0032577873,0.013005921],"category_scores_gemma":[0.012773539,0.00044879408,0.0009064599,0.003418689,0.037272666,0.009109491,0.0056747138,0.005297335,0.001467184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017235577,0.0000021837257,0.00004145559,0.00001009735,0.0000014791125,0.000003704454,0.00006594624,0.00035574686,0.0000060115926,0.9970396,0.0005358467,0.0019361958],"study_design_scores_gemma":[0.0000056175345,0.0000031829215,0.000059284994,0.000025306512,0.00000147352,0.000009575041,0.000046772468,0.00050153246,0.000032187294,0.9790333,0.020278815,0.0000029684759],"about_ca_topic_score_codex":0.0057706195,"about_ca_topic_score_gemma":0.003049632,"teacher_disagreement_score":0.013005921,"about_ca_system_score_codex":0.0073593576,"about_ca_system_score_gemma":0.004802404,"threshold_uncertainty_score":0.053396106},"labels":[],"label_agreement":null},{"id":"W3125741868","doi":"10.22004/ag.econ.152134","title":"Emerging Economies, Productivity Growth, and Trade with Resource-Rich Economies by 2030","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Research Council; International Fine Particle Research Institute; Rural Industries Research and Development Corporation; U.S. Geological Survey; Purdue University; Asian Development Bank","keywords":"Economics; Emerging markets; Productivity; Baseline (sea); China; Consumption (sociology); Natural resource; Resource (disambiguation); Dutch disease; Quarter (Canadian coin); Economy; International trade; International economics; Monetary economics; Macroeconomics; Geography; Exchange rate","score_opus":0.03779656243963095,"score_gpt":0.1896691776643473,"score_spread":0.15187261522471635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125741868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7684837,0.012960878,0.027137842,0.034305003,0.0003838867,0.00008328995,0.023794867,0.00030570643,0.1325448],"genre_scores_gemma":[0.9820156,0.0067006513,0.0023777483,0.0006825743,0.00007846621,0.000050139697,0.0031602802,0.000029419554,0.004905121],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998449,0.00004129523,0.000008565457,0.00003473019,0.000033607896,0.000036861624],"domain_scores_gemma":[0.9994785,0.00011336768,0.00023307282,0.00003799356,0.0000676877,0.00006940941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058313477,0.0003833373,0.00026839302,0.0007053309,0.0004206063,0.0022493321,0.00024069635,0.0006420158,0.006231634],"category_scores_gemma":[0.0018719452,0.00010208994,0.00042341708,0.002792736,0.0005998702,0.0019434552,0.0009565937,0.0009779573,0.00054122147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013176055,0.00015856232,0.5264176,0.00024275808,0.00026716967,0.001497271,0.0010071567,0.08163385,0.0005690004,0.28443903,0.037786767,0.06584918],"study_design_scores_gemma":[0.00006872349,0.00014151704,0.32660186,0.00049004937,0.00024333257,0.0008060327,0.006062563,0.07815654,0.0010570384,0.47358862,0.11271359,0.00007013062],"about_ca_topic_score_codex":0.030881211,"about_ca_topic_score_gemma":0.027104385,"teacher_disagreement_score":0.030881211,"about_ca_system_score_codex":0.0012863317,"about_ca_system_score_gemma":0.0010988101,"threshold_uncertainty_score":0.061402977},"labels":[],"label_agreement":null},{"id":"W3125770557","doi":"10.22004/ag.econ.16732","title":"DEFINING NORTH AMERICAN ECONOMIC INTEGRATION","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic integration; Product (mathematics); Regional integration; Market integration; Economics; Business; International trade; Macroeconomics","score_opus":0.043362075708280406,"score_gpt":0.2050783304138348,"score_spread":0.1617162547055544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125770557","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14929208,0.012419979,0.011977239,0.01118974,0.0008378598,0.00015314402,0.0011606807,0.000079380705,0.8128899],"genre_scores_gemma":[0.9148046,0.01654877,0.018029535,0.0044814115,0.00093203405,0.0008777998,0.001899394,0.000080015074,0.042346463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984382,0.00046082848,0.00010424069,0.00023881737,0.00043610914,0.00032176595],"domain_scores_gemma":[0.9987997,0.00020942335,0.00036179728,0.00005653263,0.00038788613,0.00018458471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014176044,0.0006432189,0.00037343643,0.005081433,0.002669212,0.004022587,0.00046001244,0.00082996837,0.008505234],"category_scores_gemma":[0.0023042501,0.00012879091,0.00039223675,0.006638169,0.0031238683,0.003252856,0.0034170584,0.0019869192,0.0010049907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027355753,0.000057868132,0.01858992,0.00011891141,0.00004075008,0.00040494223,0.00893996,0.0005456883,0.00041896134,0.89513725,0.022264875,0.0534534],"study_design_scores_gemma":[0.000010386949,0.000050737486,0.10919669,0.00059817336,0.00004628856,0.0010310276,0.011857123,0.0013281375,0.0002563566,0.20718938,0.6683759,0.00005972182],"about_ca_topic_score_codex":0.016840547,"about_ca_topic_score_gemma":0.01159517,"teacher_disagreement_score":0.9831594,"about_ca_system_score_codex":0.003171617,"about_ca_system_score_gemma":0.0018143904,"threshold_uncertainty_score":0.033485055},"labels":[],"label_agreement":null},{"id":"W3125790879","doi":"10.22004/ag.econ.150698","title":"Dynamic food demand and habit forming behaviors: Bayesian approach to a Dynamic Tobit panel data model with unobserved heterogeneity","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic Research Service; Goddard Space Flight Center; University of Alberta; U.S. Department of Agriculture","keywords":"Econometrics; Tobit model; Endogeneity; Economics; Censoring (clinical trials); Econometric model; Bayesian probability; Estimation; Habit; Panel data; Consumer demand; Discrete choice; Microeconomics; Statistics; Mathematics","score_opus":0.07502387651568625,"score_gpt":0.2255689808101449,"score_spread":0.15054510429445866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125790879","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092973575,0.000748735,0.89553976,0.00279227,0.000106202,0.00023669601,0.0020231234,0.0004219995,0.0051575582],"genre_scores_gemma":[0.81273866,0.0021711858,0.15706792,0.0006056929,0.00029953534,0.0010662839,0.0033524984,0.00021832077,0.022479832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99676454,0.002132765,0.000113083355,0.0004883927,0.00024941826,0.0002517965],"domain_scores_gemma":[0.98868436,0.008648362,0.0012150746,0.0006223048,0.0005635309,0.00026644138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006815529,0.0011181802,0.0026832754,0.0021562912,0.00085721555,0.0032794476,0.0033493459,0.0038810335,0.008902502],"category_scores_gemma":[0.02140133,0.001968552,0.002136286,0.0033461493,0.0014353619,0.0029789929,0.001792428,0.0037191387,0.0014447386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022431971,0.00030531886,0.01497846,0.00016898349,0.00064252864,0.0005410278,0.00085159345,0.63944757,0.0006275302,0.30696318,0.0038099054,0.031439636],"study_design_scores_gemma":[0.000046095258,0.00004980855,0.0017665426,0.000035892517,0.00008168426,0.00006202198,0.00011119329,0.90690696,0.00007428554,0.08881602,0.0019994741,0.00005000273],"about_ca_topic_score_codex":0.032377385,"about_ca_topic_score_gemma":0.024817234,"teacher_disagreement_score":0.032377385,"about_ca_system_score_codex":0.0018914102,"about_ca_system_score_gemma":0.0015533683,"threshold_uncertainty_score":0.064377844},"labels":[],"label_agreement":null},{"id":"W3125832536","doi":"10.22004/ag.econ.6131","title":"International Product Differentiation through a Country Brand: An Economic Analysis of National Branding as a Marketing Strategy for Agricultural Products","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Subsidy; Agreement on Agriculture; Negotiation; International economics; International trade; Agriculture; Commercial policy; Business; Product (mathematics); Market access; Economics; Trade barrier; Product differentiation; Political science; Market economy","score_opus":0.04876133699796982,"score_gpt":0.27286853930131655,"score_spread":0.22410720230334674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125832536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5878077,0.0048725014,0.023332862,0.0044295914,0.00010406125,0.0001291819,0.00032590612,0.00005085945,0.37894738],"genre_scores_gemma":[0.974813,0.002212862,0.0022807338,0.00019947017,0.000056239805,0.000026522415,0.00007922406,0.000018163844,0.020313755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99980646,0.000055734912,0.0000044753237,0.000029197086,0.000034962508,0.00006914053],"domain_scores_gemma":[0.9995333,0.00019104178,0.00010716166,0.000022538354,0.00004539527,0.000100631536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070948206,0.00058465294,0.0004484541,0.001639247,0.0009060411,0.00495486,0.00040981037,0.0014556998,0.011022726],"category_scores_gemma":[0.0010011552,0.00024959352,0.0010676048,0.0017190318,0.0020888757,0.0045407116,0.0012634089,0.0015214238,0.00050805265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024262033,0.00029677997,0.014537117,0.00013274251,0.00008921213,0.00048793742,0.0007697784,0.026946517,0.0013375308,0.9252811,0.004001415,0.025877118],"study_design_scores_gemma":[0.00013942574,0.00045729676,0.061159324,0.00027084042,0.0003664062,0.0005315253,0.0053006723,0.18632911,0.0012772866,0.7084607,0.03560869,0.000098702985],"about_ca_topic_score_codex":0.0064370623,"about_ca_topic_score_gemma":0.009078189,"teacher_disagreement_score":0.011022726,"about_ca_system_score_codex":0.0048644086,"about_ca_system_score_gemma":0.0010929181,"threshold_uncertainty_score":0.036874652},"labels":[],"label_agreement":null},{"id":"W3125872775","doi":"10.22004/ag.econ.102305","title":"Commodity Price Volatility: The Impact of Commodity Index Traders","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Futures contract; Speculation; Economics; Commodity; Contango; Volatility (finance); Monetary economics; Financial economics; Commodity pool; Commodity market; Futures market; Financialization; Market economy; Macroeconomics; Market liquidity; Finance","score_opus":0.07730331927695863,"score_gpt":0.25289323781727896,"score_spread":0.17558991854032033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125872775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863296,0.0013236026,0.0023329968,0.0033743228,0.00011269973,0.000006520778,0.00043907863,0.000034701232,0.006046534],"genre_scores_gemma":[0.9981165,0.00043578676,0.00019333733,0.000056651228,0.00007569582,0.00000144462,0.00014582335,0.00001373094,0.0009611629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997031,0.0001136415,0.000014586368,0.000052042866,0.0000641052,0.00005247861],"domain_scores_gemma":[0.9965005,0.0025450448,0.00037626686,0.00015873085,0.00019002415,0.00022942522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096599513,0.00020282657,0.00031322025,0.00038468445,0.00021981396,0.0024028246,0.00027273828,0.00079077575,0.0030935127],"category_scores_gemma":[0.0083331615,0.00019955533,0.0003325393,0.0008476744,0.00037235592,0.001471654,0.0006473292,0.0010129542,0.00021758984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029877867,0.0008466106,0.5563313,0.00020124065,0.00083130837,0.0017856098,0.0011191253,0.20806575,0.012493433,0.09212442,0.02342135,0.09979212],"study_design_scores_gemma":[0.00008819642,0.00028674022,0.32654527,0.000049128837,0.00027985015,0.0005003923,0.0012249795,0.5756538,0.0046729445,0.08240365,0.008199021,0.00009605786],"about_ca_topic_score_codex":0.0040786667,"about_ca_topic_score_gemma":0.0036346845,"teacher_disagreement_score":0.0040786667,"about_ca_system_score_codex":0.00044120225,"about_ca_system_score_gemma":0.00039605045,"threshold_uncertainty_score":0.010348797},"labels":[],"label_agreement":null},{"id":"W3126097668","doi":"10.22004/ag.econ.91410","title":"Ecological Goods and Services Survey Summary Prepared for: Lower Souris Watershed Committee","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Sustainability; Cropping; Land use; Marginal land; Land management; Agroforestry; Business; Geography; Unit (ring theory); Agricultural economics; Environmental science; Ecology; Economics","score_opus":0.043313483758934734,"score_gpt":0.2270718000126141,"score_spread":0.18375831625367936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126097668","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075981636,0.0002177692,0.00030758596,0.0026724895,0.0004445755,0.0018725138,0.8705683,0.0004222198,0.11589642],"genre_scores_gemma":[0.02239935,0.0008317898,0.0014486404,0.0014590913,0.00024619393,0.0053191185,0.50425863,0.00024111746,0.46379602],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99955887,0.000049351667,0.000050269788,0.00006166383,0.0001772087,0.00010264419],"domain_scores_gemma":[0.99712604,0.00037523516,0.00015291222,0.00013178955,0.00183062,0.00038335245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009406682,0.0004924144,0.00046315067,0.0019179966,0.0008808081,0.0008968509,0.00078415574,0.000726866,0.21581155],"category_scores_gemma":[0.0022367109,0.00044045635,0.00014852275,0.0033070415,0.00015412687,0.00070982595,0.0005862888,0.00070807204,0.075983964],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053778178,0.000070036425,0.0057007973,0.000115780516,0.0000033463018,0.000033737782,0.00007196809,0.00007214346,0.00027957297,0.00035001387,0.9788138,0.014434922],"study_design_scores_gemma":[0.00009399091,0.00006804832,0.15918672,0.0001983314,0.0000061171286,0.000026267015,0.00060369977,0.00038203134,0.00026279053,0.0002244943,0.83892524,0.000022193186],"about_ca_topic_score_codex":0.19331558,"about_ca_topic_score_gemma":0.2447839,"teacher_disagreement_score":0.80668443,"about_ca_system_score_codex":0.0024194631,"about_ca_system_score_gemma":0.004691857,"threshold_uncertainty_score":0.72196156},"labels":[],"label_agreement":null},{"id":"W3126110983","doi":"10.22004/ag.econ.15843","title":"THE OPTIMAL LENGTH OF AN AGRICULTURAL CARBON CONTRACT","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; BIOCAP Canada; University of Victoria","keywords":"Contract farming; Marginal value; Offset (computer science); Economics; Marginal cost; Agriculture; Welfare; Carbon fibers; Social cost; Carbon offset; Microeconomics; Natural resource economics; Social discount rate; Value (mathematics); Contract management; Social contract; Agricultural economics; Cost–benefit analysis; Greenhouse gas; Mathematics; Ecology; Market economy; Production (economics); Biology","score_opus":0.08060650457222795,"score_gpt":0.24358626978386916,"score_spread":0.1629797652116412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126110983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8044492,0.0016156188,0.13364631,0.0043526464,0.00014781175,0.00024439069,0.0004905341,0.00014705726,0.054906398],"genre_scores_gemma":[0.97221696,0.00057278795,0.020338349,0.00015440413,0.000050904455,0.00007997268,0.00010194887,0.000057693196,0.0064269993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99869955,0.00048432336,0.00008827606,0.00022426891,0.0002221424,0.0002814253],"domain_scores_gemma":[0.9899616,0.0057737087,0.0015844324,0.0005453131,0.00064679363,0.0014880999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037259294,0.00031465868,0.0005629392,0.000533436,0.0008493092,0.0023810747,0.00073301693,0.0017401238,0.0078616515],"category_scores_gemma":[0.018952817,0.0005046134,0.00035516865,0.0004443124,0.0015275017,0.004911242,0.0011944643,0.0019322231,0.00068347336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013436083,0.0005794394,0.02023255,0.000505409,0.0001467768,0.00060737005,0.0009079841,0.21718746,0.021034228,0.63852453,0.0050129592,0.09391774],"study_design_scores_gemma":[0.00020099191,0.00065006834,0.012142537,0.00024330878,0.00008421841,0.00055086566,0.0015537726,0.21288721,0.0042967037,0.75028104,0.01697685,0.00013244741],"about_ca_topic_score_codex":0.0019503299,"about_ca_topic_score_gemma":0.0021800438,"teacher_disagreement_score":0.0078616515,"about_ca_system_score_codex":0.0023292124,"about_ca_system_score_gemma":0.0031577502,"threshold_uncertainty_score":0.026299834},"labels":[],"label_agreement":null},{"id":"W3126127735","doi":"10.22004/ag.econ.52382","title":"Forecast and Simulation Analysis of Mexican Meat Consumption at the Table Cut Level: Impacts on U.S. Exports.","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Table (database); Imputation (statistics); Economics; Investment (military); Econometrics; Agricultural economics; Statistics; Mathematics; Missing data; Computer science; Political science","score_opus":0.08374149620119671,"score_gpt":0.24889908179589598,"score_spread":0.16515758559469929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126127735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898566,0.00014276842,0.0027975675,0.00035201554,0.000025116005,0.000012336461,0.0034304524,0.00009607439,0.0032870434],"genre_scores_gemma":[0.99539906,0.000085600725,0.00134723,0.000021696262,0.000005098622,0.0000122366155,0.002252809,0.000008440596,0.00086788315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992335,0.000026951555,0.0000032576304,0.000016723208,0.000009788501,0.00001998201],"domain_scores_gemma":[0.9990338,0.00062733266,0.000099047196,0.000041590352,0.00014986348,0.00004839117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004897021,0.00029285223,0.0002703531,0.00038410694,0.00016335362,0.00039919885,0.0002767876,0.0005766428,0.0027913991],"category_scores_gemma":[0.0018676103,0.00018096373,0.00040652254,0.0005954167,0.00015141859,0.00033083552,0.00019851062,0.0004911925,0.00016190417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002683547,0.00009000447,0.027418545,0.000021767584,0.000051231236,0.00008973766,0.000032558903,0.9643676,0.00039957435,0.0013208376,0.0023450237,0.003594714],"study_design_scores_gemma":[0.000023399693,0.0000531926,0.0119017055,0.000004297322,0.000019623034,0.00000960926,0.00006995911,0.9867568,0.00020674954,0.0005130195,0.00043479487,0.0000068936693],"about_ca_topic_score_codex":0.09579591,"about_ca_topic_score_gemma":0.05620023,"teacher_disagreement_score":0.09579591,"about_ca_system_score_codex":0.0007743358,"about_ca_system_score_gemma":0.00040090983,"threshold_uncertainty_score":0.1904766},"labels":[],"label_agreement":null},{"id":"W3139834676","doi":"10.1086/716727","title":"Per Capita Income, Consumption Patterns, and CO2 Emissions","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Income elasticity of demand; Per capita income; Consumption (sociology); Aggregate income; General equilibrium theory; Autonomous consumption; Energy consumption; Labour economics; Income distribution; Macroeconomics; Inequality","score_opus":0.03352277182082266,"score_gpt":0.21371194986192754,"score_spread":0.18018917804110487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139834676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926829,0.00013301309,0.0035447904,0.00035030718,0.0000036063207,0.000011246643,0.00096541777,0.000020565518,0.0022883136],"genre_scores_gemma":[0.99746656,0.00016697633,0.00094849983,0.000022502349,0.0000035772014,0.000010720205,0.0005950455,0.0000048235534,0.0007813402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983215,0.00007947263,0.0000056503677,0.000030014673,0.000013219126,0.000039541384],"domain_scores_gemma":[0.9988507,0.000624471,0.00028958594,0.000109843386,0.00006259762,0.000062737825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008055292,0.0002924192,0.00029875748,0.00057625026,0.00022293229,0.0008307026,0.00035832834,0.0005393953,0.0032481118],"category_scores_gemma":[0.0029886046,0.00026134925,0.0005095233,0.0010761331,0.00047957324,0.000858899,0.00040907974,0.0004360294,0.00049228745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018881314,0.00012318687,0.79064065,0.000033015396,0.00022619794,0.0001800316,0.00015740402,0.1834949,0.0002538942,0.011684358,0.0010632481,0.011954277],"study_design_scores_gemma":[0.000044005308,0.000111403904,0.41873187,0.000034344557,0.00013639693,0.00015904514,0.000573093,0.5556977,0.0005186947,0.02075289,0.003198601,0.00004193825],"about_ca_topic_score_codex":0.022978468,"about_ca_topic_score_gemma":0.01965022,"teacher_disagreement_score":0.022978468,"about_ca_system_score_codex":0.0007937869,"about_ca_system_score_gemma":0.00036943113,"threshold_uncertainty_score":0.045689404},"labels":[],"label_agreement":null},{"id":"W3145974299","doi":"10.22004/ag.econ.51718","title":"Medium Term Outlook for Canadian Agriculture - International and Domestic Markets","year":2009,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Medium term; Baseline (sea); China; Agricultural economics; Term (time); Economics; Business; Agricultural science; Political science; Macroeconomics; Geography; Environmental science","score_opus":0.021289247067758508,"score_gpt":0.2238375782219422,"score_spread":0.2025483311541837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145974299","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014407018,0.015207034,0.0054553538,0.0073589077,0.0015686924,0.00016794515,0.26124707,0.0011436935,0.6934442],"genre_scores_gemma":[0.23482387,0.046204373,0.021354938,0.0015720262,0.0005013816,0.00037382255,0.26696438,0.0008695291,0.42733574],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991208,0.00002234094,0.000012804388,0.000040694275,0.0006802324,0.0001231504],"domain_scores_gemma":[0.99887615,0.000019521496,0.000028176846,0.000024406434,0.0009491362,0.00010255365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005442,0.00065164606,0.00024489878,0.0032250476,0.0017508168,0.002818596,0.0007877515,0.0005178415,0.024305187],"category_scores_gemma":[0.0012797914,0.00014598851,0.00032636174,0.0068129273,0.00021712999,0.00089077995,0.00054857804,0.00084121194,0.0051976433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004969806,0.000019785684,0.002449885,0.0001931588,0.000023047782,0.00009279243,0.00014091186,0.0030784348,0.0005510575,0.06786441,0.8464091,0.07912775],"study_design_scores_gemma":[0.0000023243344,0.000003583469,0.006739651,0.00005577552,0.0000053440704,0.000032110172,0.00009199048,0.0008906258,0.00013193412,0.0019282767,0.9901003,0.000018092074],"about_ca_topic_score_codex":0.9625341,"about_ca_topic_score_gemma":0.96932465,"teacher_disagreement_score":0.9666767,"about_ca_system_score_codex":0.0333233,"about_ca_system_score_gemma":0.03334411,"threshold_uncertainty_score":0.24177861},"labels":[],"label_agreement":null},{"id":"W3150519336","doi":"10.22004/ag.econ.198742","title":"Perceptions indicate elevated risks in the business environment","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Depreciation (economics); Index (typography); Inflation (cosmology); Agricultural economics; Economics; Business risks; Business cycle; Interest rate; Business; Geography; Monetary economics; Economic growth; Macroeconomics","score_opus":0.043885168946359215,"score_gpt":0.23313587222015913,"score_spread":0.18925070327379992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150519336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99728286,0.00003399461,0.00008205285,0.00024066749,0.000002607709,0.0000014544581,0.0000292216,0.0000010122449,0.0023261504],"genre_scores_gemma":[0.9995504,0.000028888306,0.00003622448,0.00001958235,0.0000037868572,7.198673e-7,0.000021351909,7.686588e-7,0.00033833718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996954,0.00009511243,0.0000148336,0.000027144577,0.00011621634,0.000051328985],"domain_scores_gemma":[0.99657094,0.0010087163,0.001359946,0.00016034298,0.0003066643,0.00059350027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007399487,0.00015330197,0.000089547146,0.0005863754,0.00039359997,0.0012208575,0.000120653895,0.0003689275,0.0046171793],"category_scores_gemma":[0.0031014758,0.00007839153,0.00014655673,0.00047566474,0.0005483948,0.00075964455,0.0005957096,0.00052488793,0.00022122353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000207608,0.00022856315,0.9762274,0.00002276702,0.000031791536,0.00019267626,0.005838449,0.00032832834,0.0022935558,0.0014755718,0.00039726048,0.012756037],"study_design_scores_gemma":[0.0000039328893,0.00007614088,0.98641115,0.000008599867,0.000008001965,0.00010636666,0.010319424,0.00037484933,0.0003080235,0.0014162292,0.00095948804,0.00000779528],"about_ca_topic_score_codex":0.003565464,"about_ca_topic_score_gemma":0.005030581,"teacher_disagreement_score":0.0046171793,"about_ca_system_score_codex":0.00042401286,"about_ca_system_score_gemma":0.00023590065,"threshold_uncertainty_score":0.015446007},"labels":[],"label_agreement":null},{"id":"W3152495294","doi":"10.22004/ag.econ.305994","title":"Seasonality and Economic Efficiency in the Canadian Airline Industry: Performance in Air Fares Since Deregulation","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deregulation; Seasonality; Air transport; Business; Industrial organization; Economics; Market economy; Engineering; Transport engineering; Computer science","score_opus":0.05201823792020186,"score_gpt":0.2194111099286635,"score_spread":0.16739287200846165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152495294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941677,0.0007209415,0.00012057061,0.0004996519,0.0000103829525,0.000004993544,0.0015511848,0.000008609445,0.0029158925],"genre_scores_gemma":[0.9977481,0.00018420548,0.000030999327,0.000024261002,0.000006173538,8.410352e-7,0.0007439519,0.0000031801846,0.001258448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995296,0.000027942797,0.000024503024,0.00007347834,0.00013528121,0.00020922931],"domain_scores_gemma":[0.9970988,0.00028268874,0.00067603,0.00010649994,0.0012877838,0.00054834073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009119209,0.0001795569,0.00023875992,0.0012955817,0.00063002063,0.0015740246,0.0006179387,0.00057887303,0.0022592517],"category_scores_gemma":[0.0032561496,0.00011661137,0.000357699,0.002528107,0.00056943117,0.0005595645,0.0004733665,0.00051857746,0.00022215121],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012999306,0.000040668263,0.98447305,0.00001783445,0.00010683763,0.00005850212,0.0004952028,0.0031678139,0.00039416825,0.001061327,0.001618522,0.008436044],"study_design_scores_gemma":[0.0000010195231,0.0000064499973,0.99831104,0.0000035957237,0.000010487816,0.0000065555137,0.00034525665,0.00060092757,0.000045421864,0.000037977854,0.00062794203,0.0000034285647],"about_ca_topic_score_codex":0.9571287,"about_ca_topic_score_gemma":0.97700113,"teacher_disagreement_score":0.9898664,"about_ca_system_score_codex":0.010133645,"about_ca_system_score_gemma":0.008080897,"threshold_uncertainty_score":0.086247504},"labels":[],"label_agreement":null},{"id":"W3165881502","doi":"10.22004/ag.econ.306030","title":"Economic Impact of Introducing Longer Trailers in Ontario","year":2020,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic impact analysis; Economics; Agricultural economics; Business; Microeconomics","score_opus":0.04758068636928121,"score_gpt":0.21492711382253682,"score_spread":0.16734642745325562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165881502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96500343,0.00023857993,0.00023468472,0.002186863,0.000033845154,0.00007091073,0.0012797775,0.00003784417,0.03091406],"genre_scores_gemma":[0.9802443,0.00022889551,0.00009921915,0.0001172097,0.000011115933,0.0000102175045,0.00032747988,0.000008969915,0.018952578],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985642,0.00017828698,0.00003437707,0.000089981346,0.0003942033,0.00073892437],"domain_scores_gemma":[0.9943019,0.0007904929,0.0007955745,0.0002515887,0.0017557952,0.0021046859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092983356,0.00018023222,0.0002939179,0.0008134267,0.0033703248,0.002954701,0.00082020485,0.00085775764,0.016741272],"category_scores_gemma":[0.004429991,0.00022139042,0.0006267626,0.0016690992,0.0015043512,0.0008846021,0.0011277405,0.00090676965,0.0004946787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006802262,0.0025902982,0.6741534,0.0004713998,0.0004271981,0.0034056294,0.008734889,0.057180718,0.0050749974,0.06519061,0.06468106,0.11128749],"study_design_scores_gemma":[0.00058941735,0.0011138412,0.8504249,0.00015051878,0.0003854979,0.00020301124,0.02787633,0.022483911,0.00206715,0.0049536596,0.089629054,0.00012267812],"about_ca_topic_score_codex":0.9761548,"about_ca_topic_score_gemma":0.9925632,"teacher_disagreement_score":0.070370264,"about_ca_system_score_codex":0.070370264,"about_ca_system_score_gemma":0.044000033,"threshold_uncertainty_score":0.5105744},"labels":[],"label_agreement":null},{"id":"W3173115481","doi":"10.22004/ag.econ.352718","title":"Distribución del abies religiosa (kunth) schltdl. &amp; cham. Bajo escenarios de cambio climático en el eje Neovolcánico, Mexico","year":2025,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Geography; Forestry; Distribution (mathematics); Vegetation (pathology); Ecology; Biology; Mathematics","score_opus":0.021363859201604288,"score_gpt":0.24914053396556626,"score_spread":0.22777667476396196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173115481","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498475,0.00038894062,0.000106592845,0.000038268758,0.0000023805082,0.0000056000586,0.0009635163,0.000005597885,0.0035043806],"genre_scores_gemma":[0.99762505,0.00036574906,0.0003790945,0.0000061134133,0.0000034180268,0.000008837517,0.0005821362,0.000001354334,0.0010281088],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993753,0.000009908352,0.0000030518754,0.000020842679,0.000016534981,0.000012025934],"domain_scores_gemma":[0.99978346,0.00004657963,0.000090469104,0.000011030404,0.000048778827,0.000019798965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024346673,0.000090474736,0.00007427968,0.0009073379,0.00038237573,0.0004133636,0.00013605904,0.00006931107,0.00076321844],"category_scores_gemma":[0.00028810446,0.00004413449,0.000055835175,0.00073011295,0.0002240685,0.000116994954,0.00024094546,0.00010874469,0.00006891701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007263064,0.000020089134,0.95475924,0.000048858907,0.000026142614,0.00019557305,0.002321792,0.00036622788,0.0007201084,0.0007837633,0.0010208163,0.039664797],"study_design_scores_gemma":[0.0000021812298,0.0000090276,0.99496305,0.000021450049,0.000012182259,0.000056773402,0.0013166304,0.00033498308,0.000068959554,0.000051053565,0.0031618483,0.0000017548701],"about_ca_topic_score_codex":0.14007284,"about_ca_topic_score_gemma":0.34068057,"teacher_disagreement_score":0.14007284,"about_ca_system_score_codex":0.00070237723,"about_ca_system_score_gemma":0.00028004646,"threshold_uncertainty_score":0.27851504},"labels":[],"label_agreement":null},{"id":"W3199710406","doi":"10.22004/ag.econ.399647","title":"Status and growth in fish export from India","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Fishery; Geography; Biology","score_opus":0.0481663127627369,"score_gpt":0.21723011178145113,"score_spread":0.16906379901871424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199710406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98341864,0.00041985142,0.000038990864,0.00044814398,0.000012262738,0.0000045268666,0.0025759372,0.00001845302,0.013063238],"genre_scores_gemma":[0.9910817,0.00089778,0.00006124818,0.00006428194,0.000013245103,0.0000037335133,0.0020023445,0.000008321245,0.0058674323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986243,0.000008165678,0.000015166427,0.000021967326,0.000033137803,0.00005916264],"domain_scores_gemma":[0.99943715,0.00006581935,0.00019741822,0.000024181623,0.00018487276,0.000090529575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013046166,0.00015065372,0.00008235584,0.0013504904,0.0003679428,0.0010272905,0.0002872846,0.0001334891,0.004135545],"category_scores_gemma":[0.00063575304,0.00010081604,0.00023067073,0.0022584402,0.0002892047,0.00061436684,0.00054428924,0.00033103145,0.0007275864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120461824,0.000034528464,0.9749681,0.00013505373,0.0000346121,0.0012467348,0.0021594178,0.00027711625,0.0011493145,0.0013397291,0.002722514,0.015812468],"study_design_scores_gemma":[0.0000012537052,0.000024856234,0.99195194,0.000028421899,0.0000121747535,0.00044978017,0.0026589546,0.00010275335,0.0001995582,0.00007228395,0.0044903145,0.000007773124],"about_ca_topic_score_codex":0.050793286,"about_ca_topic_score_gemma":0.049349006,"teacher_disagreement_score":0.050793286,"about_ca_system_score_codex":0.00072296866,"about_ca_system_score_gemma":0.0008032049,"threshold_uncertainty_score":0.1009953},"labels":[],"label_agreement":null},{"id":"W319978790","doi":"10.22004/ag.econ.151214","title":"Nutrition Label Usage, Diet Health Behavior, and Information Uncertainty","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Credence; Food choice; Order (exchange); Nutrition facts label; Perception; Marketing; Matching (statistics); Consumer behaviour; Robustness (evolution); Environmental health; Business; Public economics; Psychology; Medicine; Economics; Computer science","score_opus":0.04554351857554812,"score_gpt":0.29710356107517394,"score_spread":0.2515600424996258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W319978790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961618,0.000202816,0.0010157708,0.00024245045,0.0000044278218,0.000042057785,0.00027087392,0.000007845803,0.0020518957],"genre_scores_gemma":[0.99861014,0.00010854539,0.000618845,0.00006134557,0.0000063996877,0.000023851126,0.00023677493,0.0000032348973,0.0003308265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99222344,0.004121845,0.00071733363,0.0006404913,0.001933241,0.00036364436],"domain_scores_gemma":[0.92722416,0.050501667,0.016203022,0.0036437018,0.0015384357,0.0008889893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0118097365,0.00018556569,0.00032308052,0.0014259916,0.00061611016,0.00212304,0.00039441916,0.00083049125,0.0028864585],"category_scores_gemma":[0.04453924,0.00024250738,0.0008989564,0.0021744706,0.0012000083,0.0014297536,0.0010199827,0.0009382537,0.00021590988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020240886,0.00033441352,0.98843795,0.000034044693,0.00020563675,0.000030244648,0.00080776523,0.0004931706,0.00014877628,0.00043061154,0.000103689585,0.008771274],"study_design_scores_gemma":[0.0000093089275,0.00023543279,0.993644,0.000030814135,0.00010704344,0.00007207145,0.0012010164,0.0029802877,0.00021361117,0.000964834,0.0005223601,0.000019233734],"about_ca_topic_score_codex":0.010960755,"about_ca_topic_score_gemma":0.009646878,"teacher_disagreement_score":0.0118097365,"about_ca_system_score_codex":0.00095699984,"about_ca_system_score_gemma":0.000660147,"threshold_uncertainty_score":0.062456608},"labels":[],"label_agreement":null},{"id":"W3201734017","doi":"10.22004/ag.econ.285800","title":"How Do Producers Decide the “Right” Moment to Price Their Crop?","year":2013,"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":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Moment (physics); Crop; Economics; Business; Agricultural science; Environmental science; Geography; Forestry; Physics","score_opus":0.02147633452796793,"score_gpt":0.17729787549180043,"score_spread":0.1558215409638325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201734017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779529,0.0013407884,0.004255354,0.0021117525,0.000032546563,0.00005188585,0.0004557813,0.000035335495,0.013763653],"genre_scores_gemma":[0.9961965,0.0004928818,0.0014460267,0.00014239212,0.00001707737,0.000006636664,0.00015022662,0.00001042319,0.0015378614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988642,0.00027117494,0.00003794168,0.000255359,0.0002942532,0.00027710365],"domain_scores_gemma":[0.99240655,0.0032979005,0.0027341323,0.00025822988,0.0008025856,0.00050061534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003287672,0.0002215881,0.00043974756,0.00051228795,0.000800018,0.0023364627,0.00065425376,0.000790555,0.003169237],"category_scores_gemma":[0.013043108,0.000309752,0.00030692617,0.000707986,0.0009824726,0.0017364499,0.00031219763,0.00081439654,0.0005328384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018492457,0.0004925104,0.79355675,0.00028507874,0.00029196503,0.00046775056,0.0037849676,0.007341845,0.015070886,0.008329777,0.0037332412,0.16479596],"study_design_scores_gemma":[0.000048218666,0.00024012658,0.9687608,0.000060700662,0.0000658973,0.00012286054,0.004592327,0.009489243,0.0017485543,0.006199887,0.008579973,0.00009153184],"about_ca_topic_score_codex":0.2338311,"about_ca_topic_score_gemma":0.34662062,"teacher_disagreement_score":0.2338311,"about_ca_system_score_codex":0.0042659594,"about_ca_system_score_gemma":0.00476701,"threshold_uncertainty_score":0.46494013},"labels":[],"label_agreement":null},{"id":"W3202303628","doi":"10.22004/ag.econ.259969","title":"Emissions Performance Under Emissions Intensity Regulation: Evidence from Alberta’s Specified Gas Emitters Regulation","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Intensity (physics); Environmental regulation; Natural resource economics; Business; Economics; Environmental planning; Geology; Physics","score_opus":0.05341106461048701,"score_gpt":0.2527182110530711,"score_spread":0.19930714644258407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202303628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9312427,0.002608154,0.00042433766,0.0030281988,0.00006832083,0.00009092297,0.0023796365,0.000038367732,0.060119417],"genre_scores_gemma":[0.98972905,0.00079535897,0.00014209453,0.0010754722,0.00002441266,0.000018228768,0.0015749183,0.0000073865913,0.006632987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9881705,0.0021557014,0.00032028748,0.00070575566,0.006582596,0.0020651193],"domain_scores_gemma":[0.97380537,0.010424296,0.0049002813,0.0014189836,0.007830568,0.0016204723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008233368,0.0003292977,0.00049256295,0.0015487801,0.0020210114,0.003700011,0.0021147472,0.0018498931,0.0021293834],"category_scores_gemma":[0.013336645,0.00033189222,0.00075342855,0.0030066434,0.0029898654,0.0008109374,0.0011730917,0.0015702262,0.00026775405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052890964,0.0014256999,0.8802305,0.00055155426,0.0015386652,0.0004217191,0.0018599207,0.014760307,0.0020688197,0.016539738,0.018441418,0.056872554],"study_design_scores_gemma":[0.000470602,0.00048802092,0.97414035,0.00014933903,0.0007240925,0.000035528174,0.0020674483,0.0016299346,0.0019070891,0.0011412908,0.017172892,0.00007346999],"about_ca_topic_score_codex":0.95713437,"about_ca_topic_score_gemma":0.9760559,"teacher_disagreement_score":0.97244835,"about_ca_system_score_codex":0.027551638,"about_ca_system_score_gemma":0.04063827,"threshold_uncertainty_score":0.19990206},"labels":[],"label_agreement":null},{"id":"W3203160017","doi":"10.22004/ag.econ.306045","title":"Royal Commissions and Canada's Transport Policy Community: The Changing Dynamics of Political Innovation","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Politics; Public administration; Dynamics (music); Political science; Political economy; Economics; Sociology; Law","score_opus":0.043055341565588,"score_gpt":0.27384617095959385,"score_spread":0.23079082939400586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203160017","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10326294,0.009730854,0.00080482464,0.67593175,0.00086796173,0.00002238918,0.00055032125,0.00006130878,0.20876762],"genre_scores_gemma":[0.9427192,0.0047746617,0.0004039888,0.014365869,0.00037634536,0.000015341855,0.000093049464,0.000065123866,0.037186332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9915006,0.0018517405,0.00012365067,0.0005759571,0.002931398,0.0030166747],"domain_scores_gemma":[0.96317136,0.015118989,0.0020445955,0.0008519555,0.008986763,0.0098263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008720683,0.00024925367,0.0005865451,0.0035495346,0.016404586,0.030894961,0.0014976449,0.008188812,0.01440172],"category_scores_gemma":[0.03116429,0.0003576664,0.0003936923,0.00731452,0.022135418,0.0073740934,0.0041993316,0.005883135,0.0006569257],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00009638828,0.000056067714,0.00983258,0.0001118803,0.000040453677,0.00022832875,0.020897936,0.0013440528,0.00018052028,0.80654263,0.12474079,0.035928346],"study_design_scores_gemma":[0.00006012055,0.000020710677,0.042213492,0.00047969987,0.000047953585,0.00006596033,0.052256513,0.0016844423,0.00025908093,0.11786526,0.7848696,0.00017716343],"about_ca_topic_score_codex":0.965138,"about_ca_topic_score_gemma":0.9829202,"teacher_disagreement_score":0.8552049,"about_ca_system_score_codex":0.1447951,"about_ca_system_score_gemma":0.23331247,"threshold_uncertainty_score":0.9919165},"labels":[],"label_agreement":null},{"id":"W3204371747","doi":"10.22004/ag.econ.289976","title":"An Economic Analysis of Agriculture and Food Cross Border Movements: Windsor-Detroit and Sarnia-Port Huron","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Windsor","keywords":"Windsor; Port (circuit theory); Agriculture; Geography; Regional science; Agricultural economics; Geology; Archaeology; Economics; Engineering","score_opus":0.010088137945409794,"score_gpt":0.22243792049589955,"score_spread":0.21234978255048975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204371747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98759997,0.00052856636,0.00018463237,0.002011742,0.000021189808,0.000027773765,0.00049433653,0.0000030454958,0.009128785],"genre_scores_gemma":[0.98680216,0.00075533375,0.00013894097,0.00022416402,0.000021738357,0.000020472698,0.00052648433,0.000004636669,0.01150592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997416,0.00007497664,0.000007460378,0.000019391391,0.000034939007,0.00012156442],"domain_scores_gemma":[0.9992938,0.00026650217,0.00015655594,0.000014736882,0.000061850704,0.00020662979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667862,0.000301019,0.0002969619,0.00086623564,0.000995164,0.0031636907,0.00061689864,0.00096681505,0.004372615],"category_scores_gemma":[0.0016374096,0.00030576144,0.0006144178,0.0015196878,0.000640577,0.0011689367,0.0008076717,0.0011204947,0.00017113482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034478165,0.0015773531,0.71294844,0.00017943818,0.0007693349,0.0062322794,0.002421395,0.09769183,0.0020826086,0.12089581,0.018792797,0.032960907],"study_design_scores_gemma":[0.0003219477,0.0005398432,0.8281679,0.00016973252,0.00040286797,0.00035448748,0.022631533,0.112528734,0.0012234316,0.010675204,0.022900425,0.000083918465],"about_ca_topic_score_codex":0.3174184,"about_ca_topic_score_gemma":0.5585514,"teacher_disagreement_score":0.6825816,"about_ca_system_score_codex":0.0062257512,"about_ca_system_score_gemma":0.0028221633,"threshold_uncertainty_score":0.63114166},"labels":[],"label_agreement":null},{"id":"W3204510025","doi":"10.22004/ag.econ.262249","title":"FARE Share Summer 2016 Newsletter","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meteorology; Environmental science; Geography","score_opus":0.04424524684806384,"score_gpt":0.27106292607516896,"score_spread":0.2268176792271051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204510025","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005402021,0.005106881,0.00031491445,0.049827605,0.08205437,0.0001590103,0.0043904176,0.0012495058,0.85635704],"genre_scores_gemma":[0.0009763131,0.0013422769,0.00009043315,0.005630201,0.007975342,0.00004430255,0.0012782792,0.00025585765,0.982407],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989285,0.00008231736,0.000047067875,0.00012612941,0.00062594586,0.00019010132],"domain_scores_gemma":[0.9965994,0.00035402155,0.0001555779,0.0002544349,0.0014679455,0.0011685649],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015588135,0.0014034603,0.00080771174,0.00158222,0.002739704,0.007068312,0.0012145969,0.0049535343,0.65210485],"category_scores_gemma":[0.0048364876,0.0004784899,0.00065784046,0.0012830836,0.0005571122,0.0037536158,0.0027307216,0.0034322306,0.5475786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006965761,0.000008812671,0.000023846143,0.000019809046,4.2051522e-7,0.000013018671,0.000005930105,0.000005498192,0.000023981358,0.0002343896,0.9928148,0.0068425727],"study_design_scores_gemma":[0.0000026387029,0.0000041919484,0.00014819523,0.000028183822,3.3100017e-7,0.0000067712035,0.00002289319,0.000006742477,0.000012462443,0.00006516658,0.99970007,0.0000023511382],"about_ca_topic_score_codex":0.009011235,"about_ca_topic_score_gemma":0.030113509,"teacher_disagreement_score":0.9909888,"about_ca_system_score_codex":0.0018950792,"about_ca_system_score_gemma":0.0026977705,"threshold_uncertainty_score":0.49623019},"labels":[],"label_agreement":null},{"id":"W3205008190","doi":"10.22004/ag.econ.151447","title":"Socio-economic Considerations and International Trade Agreements","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"International trade; Convention on Biological Diversity; Convention; Business; Inclusion (mineral); Legislation; Biosafety; Corporate governance; Economic integration; International economics; Economics; Political science; Finance","score_opus":0.04651299064452424,"score_gpt":0.23539306479046174,"score_spread":0.1888800741459375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205008190","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014558084,0.017855655,0.01655454,0.037364997,0.00078249606,0.00013779722,0.00016838359,0.00003408269,0.91254395],"genre_scores_gemma":[0.82993937,0.034674894,0.019368593,0.0329158,0.0013247469,0.0007405143,0.0003981638,0.00008939044,0.08054854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98111224,0.009438183,0.0011136169,0.0012331484,0.0052864575,0.0018161829],"domain_scores_gemma":[0.98753536,0.007093981,0.0019399978,0.0008373309,0.0020831358,0.0005102267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016755784,0.0005426893,0.000495518,0.0028662672,0.0052588116,0.009356773,0.0012621093,0.0060960334,0.0069897054],"category_scores_gemma":[0.019243687,0.00037020445,0.00085312297,0.0044913325,0.013433309,0.006585066,0.004439003,0.0052581728,0.00072169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027785472,0.0000053342583,0.00012527191,0.000024760482,0.0000028733195,0.00004018364,0.00039256096,0.00022440052,0.000029254772,0.99472743,0.0013261519,0.0030989475],"study_design_scores_gemma":[0.000008733614,0.00002341502,0.0011363308,0.0007236875,0.000012170721,0.00012170529,0.0017424078,0.00031593099,0.00014202313,0.6950828,0.30066615,0.00002452614],"about_ca_topic_score_codex":0.0065914136,"about_ca_topic_score_gemma":0.007834006,"teacher_disagreement_score":0.016755784,"about_ca_system_score_codex":0.0075794184,"about_ca_system_score_gemma":0.008679108,"threshold_uncertainty_score":0.088614166},"labels":[],"label_agreement":null},{"id":"W3205353387","doi":"10.22004/ag.econ.314690","title":"Demand Model Developments to Assess High Speed Passenger Train Markets on Windsor to Quebec City Corridor - An Update","year":2021,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Transport engineering; Passenger transport; Aeronautics; Business; Computer science; Operations research; Engineering; Environmental science","score_opus":0.06402305284490961,"score_gpt":0.29742078551658807,"score_spread":0.23339773267167846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205353387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2415328,0.011576829,0.3789057,0.0070533883,0.0012297828,0.0015067271,0.15081452,0.0055059697,0.20187424],"genre_scores_gemma":[0.67092294,0.0125362035,0.15672122,0.0011135935,0.00032981488,0.0010473141,0.089055285,0.002034037,0.066239595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985612,0.00042662982,0.00007291304,0.0001532058,0.0006109174,0.00017506549],"domain_scores_gemma":[0.99427223,0.0009591544,0.00015119312,0.00030983076,0.0041327216,0.00017495124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038222915,0.0022904235,0.0010915113,0.002828484,0.0010284804,0.0028713604,0.004124321,0.0010913279,0.014032428],"category_scores_gemma":[0.0059552537,0.0009784326,0.0025110515,0.0035385164,0.00041997945,0.0023810011,0.00091285154,0.0017436991,0.0022099307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019997539,0.0006964686,0.03356139,0.0005687019,0.00034921055,0.0001866526,0.00015046282,0.7286039,0.0018699642,0.013702606,0.08302927,0.1370815],"study_design_scores_gemma":[0.00009777089,0.00017656237,0.03299433,0.00032325165,0.0001311142,0.000087383545,0.0004045855,0.8799437,0.0024584185,0.003832614,0.07935352,0.00019669869],"about_ca_topic_score_codex":0.87665755,"about_ca_topic_score_gemma":0.8889597,"teacher_disagreement_score":0.123342454,"about_ca_system_score_codex":0.0134838205,"about_ca_system_score_gemma":0.00926529,"threshold_uncertainty_score":0.24813765},"labels":[],"label_agreement":null},{"id":"W3207265400","doi":"10.22004/ag.econ.314692","title":"The Canadian Aviation Charter Market: Opening New Transport Gateways or Niche Market Pricing?","year":2021,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Charter; Business; Aviation; Air transport; Niche; Industrial organization; International trade; Commerce; Aeronautics; Geography; Engineering; Aerospace engineering; Ecology","score_opus":0.026892539750284678,"score_gpt":0.19997478900249738,"score_spread":0.1730822492522127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207265400","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2094395,0.0057157935,0.0019608757,0.21102685,0.0008896372,0.000062270876,0.0011277236,0.00015776159,0.5696196],"genre_scores_gemma":[0.95026225,0.0025900018,0.0006757419,0.008846969,0.0004071704,0.000014831846,0.00017916992,0.000040621333,0.03698334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981128,0.00013981352,0.000021327667,0.00019300061,0.0006360383,0.0008970215],"domain_scores_gemma":[0.99494356,0.00093525404,0.0005188208,0.00020777891,0.0014805843,0.0019140771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001779223,0.00026515545,0.0003530096,0.0013173041,0.0055492274,0.013113932,0.0013605704,0.004835675,0.029974116],"category_scores_gemma":[0.008304649,0.00024011824,0.00039785696,0.0025311764,0.007716946,0.007978901,0.001079117,0.0035498044,0.0007949152],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100394376,0.00007615927,0.007396393,0.000061109495,0.000011872878,0.00017448481,0.0017629906,0.0006644022,0.00033245434,0.8197704,0.13354,0.036109373],"study_design_scores_gemma":[0.0001320444,0.00007803446,0.108833425,0.00054179854,0.00008845356,0.00017046911,0.026885804,0.007237013,0.00071903085,0.17871657,0.67635566,0.00024168937],"about_ca_topic_score_codex":0.92133886,"about_ca_topic_score_gemma":0.9714804,"teacher_disagreement_score":0.078661144,"about_ca_system_score_codex":0.041923616,"about_ca_system_score_gemma":0.055608205,"threshold_uncertainty_score":0.30417854},"labels":[],"label_agreement":null},{"id":"W3207395553","doi":"10.22004/ag.econ.314712","title":"Rail Rationalization and the Grain Industry in Southern Ontario","year":2021,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rationalization (economics); Business; Economics; Management","score_opus":0.02292449048862712,"score_gpt":0.18783209323781103,"score_spread":0.1649076027491839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207395553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89090556,0.000560715,0.0002554268,0.012859268,0.000018817842,0.000046358706,0.00070671324,0.000024667012,0.09462251],"genre_scores_gemma":[0.96217,0.00041511128,0.00014111117,0.00044023606,0.0000071222235,0.000012702743,0.00013362648,0.000011642871,0.036668412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99888414,0.00011404795,0.000030832867,0.000074825366,0.00020515558,0.00069093873],"domain_scores_gemma":[0.99803513,0.00040640312,0.0002467243,0.00006614852,0.0006870396,0.00055853714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084966864,0.00010721699,0.00017435671,0.0009029979,0.0061017564,0.0038988912,0.0005624118,0.0012368213,0.0104772495],"category_scores_gemma":[0.002677744,0.00024079526,0.00023822987,0.0020303803,0.0022112033,0.0010577041,0.00094183674,0.0009459948,0.00035738727],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000909007,0.00026343518,0.3968986,0.00031948474,0.0001230476,0.0016003498,0.040915474,0.015387993,0.0035546224,0.45007038,0.03693554,0.053022094],"study_design_scores_gemma":[0.0001565161,0.0001270168,0.59795886,0.0001956119,0.00008438587,0.000114703726,0.07720117,0.010104648,0.0013770945,0.021974066,0.29058963,0.00011630311],"about_ca_topic_score_codex":0.9924378,"about_ca_topic_score_gemma":0.9977477,"teacher_disagreement_score":0.10255586,"about_ca_system_score_codex":0.10255586,"about_ca_system_score_gemma":0.082644895,"threshold_uncertainty_score":0.74409837},"labels":[],"label_agreement":null},{"id":"W3209954008","doi":"10.22004/ag.econ.305960","title":"The Impact on Canadian Railways and Shippers of Cost-Based Pricing for Railway Freight","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Rail freight transport; Business; Industrial organization; Operations research; Economics; Commerce; Engineering","score_opus":0.03619287816155409,"score_gpt":0.21718695038554134,"score_spread":0.18099407222398725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209954008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8451609,0.0013256698,0.0002174268,0.018265173,0.00020000155,0.00005568364,0.0031700104,0.00004576084,0.13155936],"genre_scores_gemma":[0.96806246,0.0008804171,0.000119342214,0.0010028307,0.000037520083,0.000008024511,0.0007369783,0.000018041346,0.029134344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99673116,0.00035167235,0.000045664572,0.00012926833,0.0012553227,0.0014869055],"domain_scores_gemma":[0.9934042,0.0007958438,0.00058345153,0.00013665312,0.0037719645,0.0013078357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001315894,0.00040324582,0.00023874032,0.0015733181,0.003551674,0.0037000845,0.0012188079,0.0018511827,0.0122641055],"category_scores_gemma":[0.00756221,0.0002977895,0.00090060366,0.00266655,0.0013548841,0.0009364849,0.0009274667,0.0015428711,0.00059452554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00224061,0.0013699344,0.5521142,0.0002526866,0.0005466117,0.0016574246,0.003521762,0.042140406,0.003874001,0.0913298,0.173393,0.12755953],"study_design_scores_gemma":[0.00007883599,0.00016412146,0.93261397,0.00009024302,0.00019470233,0.0001231177,0.00820919,0.006687882,0.0007007249,0.0017280586,0.049292132,0.0001171642],"about_ca_topic_score_codex":0.9928226,"about_ca_topic_score_gemma":0.9970577,"teacher_disagreement_score":0.9335882,"about_ca_system_score_codex":0.06641179,"about_ca_system_score_gemma":0.0651805,"threshold_uncertainty_score":0.48185354},"labels":[],"label_agreement":null},{"id":"W4287396237","doi":"","title":"Financial Analysis of Water Management Practices in Cranberry Production in Quebec, Canada","year":2024,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Production (economics); Finance; Agricultural economics; Economics","score_opus":0.04068135713946671,"score_gpt":0.26150353380949415,"score_spread":0.22082217667002743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287396237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884743,0.00033798465,0.00020633875,0.00041345414,0.0000056203266,0.000049504768,0.007213523,0.000014684119,0.0032845936],"genre_scores_gemma":[0.9949528,0.00014311845,0.00016175755,0.000048872385,0.000002406751,0.000016881406,0.0024778591,0.0000034413295,0.0021929743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994765,0.00005823181,0.00002070956,0.00008124274,0.0001773388,0.00018599238],"domain_scores_gemma":[0.9972652,0.00046716986,0.0005278929,0.00007048171,0.0012760805,0.00039317217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005294073,0.0002674984,0.00022969846,0.001314901,0.0008746856,0.0013104771,0.0009839081,0.0003818257,0.003289743],"category_scores_gemma":[0.0024760822,0.00012926657,0.00036140342,0.0031373044,0.0005748078,0.00036676135,0.00044275203,0.00042434444,0.00018898025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025279605,0.00016903256,0.96270734,0.00008178731,0.00017490775,0.0005045553,0.0005837892,0.013295252,0.0010299541,0.0014183873,0.005237144,0.014545077],"study_design_scores_gemma":[0.0000113280275,0.000041519987,0.98594046,0.000023651983,0.000023063998,0.000032895296,0.0013678435,0.009973929,0.00019334171,0.000059959166,0.0023128702,0.000019173678],"about_ca_topic_score_codex":0.9951142,"about_ca_topic_score_gemma":0.9958139,"teacher_disagreement_score":0.04508537,"about_ca_system_score_codex":0.04508537,"about_ca_system_score_gemma":0.015841896,"threshold_uncertainty_score":0.3271188},"labels":[],"label_agreement":null},{"id":"W4287532057","doi":"10.22004/ag.econ.309788","title":"Canada’s Environmental Farm Plan: Evaluating Implementation, Use of Services, and the Influence of Social Factors","year":2020,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Environmental planning; Business; Environmental resource management; Geography; Environmental science; Archaeology","score_opus":0.03859205321396057,"score_gpt":0.22787543913746902,"score_spread":0.18928338592350846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287532057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832192,0.00041079763,0.00029226515,0.00077951007,0.000021097281,0.0011986183,0.0047307345,0.000022921553,0.009324907],"genre_scores_gemma":[0.9905538,0.00045922358,0.0017033627,0.00018250996,0.00000755588,0.0006215259,0.0032128312,0.000011462652,0.00324773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953361,0.0007045413,0.00021148367,0.0001755905,0.002763313,0.00080896047],"domain_scores_gemma":[0.9836162,0.0013734758,0.0020583125,0.00023660572,0.009728772,0.0029866898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046182247,0.0004095442,0.00039957708,0.0018816111,0.0029495726,0.0013381119,0.001130564,0.00039231172,0.0019064468],"category_scores_gemma":[0.010625397,0.00032790957,0.00073987606,0.0035003836,0.0008630451,0.00065577443,0.0010753844,0.0006490447,0.00016827944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050853775,0.0008499791,0.9556283,0.00028747538,0.00015656442,0.000109894085,0.004460833,0.00074512203,0.00023709632,0.00041406386,0.0049254233,0.031676613],"study_design_scores_gemma":[0.000036775175,0.00027378046,0.99180377,0.000050479764,0.000041792166,0.000008693501,0.003436381,0.00085975137,0.0000905906,0.0000269653,0.003353384,0.000017533373],"about_ca_topic_score_codex":0.9913863,"about_ca_topic_score_gemma":0.9958753,"teacher_disagreement_score":0.0631615,"about_ca_system_score_codex":0.0631615,"about_ca_system_score_gemma":0.10957503,"threshold_uncertainty_score":0.4582709},"labels":[],"label_agreement":null},{"id":"W484519832","doi":"10.22004/ag.econ.200663","title":"3rd Quarter RIN Update","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"SAS software applications and methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mandate; Quarter (Canadian coin); Statutory law; Stock (firearms); Identification (biology); Range (aeronautics); Business; Economics; Accounting; Actuarial science; Engineering; Political science; Law; Geography","score_opus":0.015471969337608131,"score_gpt":0.22652817886943338,"score_spread":0.21105620953182525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W484519832","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028749034,0.014972634,0.0094778305,0.04234054,0.070214726,0.0005470636,0.053939346,0.014066836,0.79156613],"genre_scores_gemma":[0.01135795,0.013163414,0.0073886802,0.029683767,0.014896848,0.00070398365,0.045453373,0.004699817,0.8726522],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9911317,0.00077264785,0.0007248615,0.0006067562,0.006189022,0.00057498744],"domain_scores_gemma":[0.9792365,0.0021654037,0.0011523153,0.0020317994,0.014453865,0.00096011936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007469858,0.0011715853,0.0011246267,0.0064137043,0.001474329,0.0088239405,0.0039942544,0.0043233167,0.16470942],"category_scores_gemma":[0.023426652,0.0006886819,0.002131434,0.005000445,0.0006624483,0.004377076,0.003000128,0.004020788,0.19407892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043908338,0.0000345837,0.00032668456,0.00010587507,0.0000069815333,0.000050041996,0.000017651788,0.00015489895,0.00013651364,0.0016757263,0.95718527,0.040261842],"study_design_scores_gemma":[0.0000046046393,0.000010470116,0.0006510231,0.00009273882,0.0000055427568,0.00003264022,0.0000131920915,0.00010224919,0.00016118487,0.00028719872,0.9986308,0.000008314754],"about_ca_topic_score_codex":0.018737243,"about_ca_topic_score_gemma":0.017119922,"teacher_disagreement_score":0.16470942,"about_ca_system_score_codex":0.0043315864,"about_ca_system_score_gemma":0.0067256233,"threshold_uncertainty_score":0.55100787},"labels":[],"label_agreement":null},{"id":"W5022358","doi":"10.22004/ag.econ.135067","title":"The EU-Canada Free Trade Agreement: What is on the Table for Agriculture?","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Subsidy; Negotiation; International trade; Agriculture; Harmonization; Free trade; Trade barrier; Tariff; Multilateral trade negotiations; International economics; Free trade agreement; Business; Phytosanitary certification; Technical barriers to trade; Economic integration; Economics; Political science; Economic growth; Geography; Law","score_opus":0.03845335423427684,"score_gpt":0.20379008841125393,"score_spread":0.16533673417697708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W5022358","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011328298,0.104702964,0.0026726034,0.50746596,0.004952379,0.00006919309,0.002625223,0.0002269951,0.36595643],"genre_scores_gemma":[0.42249766,0.14048065,0.013290577,0.1010564,0.0020452386,0.00015696051,0.004688624,0.00037040983,0.31541342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99255544,0.00071576657,0.000115849725,0.00044225444,0.0034198526,0.0027508119],"domain_scores_gemma":[0.99477935,0.0007739642,0.00018557132,0.00019753382,0.0025541247,0.0015094088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00380967,0.0007774593,0.0010625862,0.0025196355,0.016868431,0.027027002,0.0021411963,0.008159563,0.023045782],"category_scores_gemma":[0.010209681,0.0004472255,0.0006613828,0.008060081,0.0059470953,0.009304064,0.0025000065,0.005346014,0.0026482176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007765869,0.000031706568,0.001431921,0.0003598409,0.000035382804,0.00040920466,0.0011090303,0.0008383808,0.00019928614,0.62703806,0.2980793,0.07039027],"study_design_scores_gemma":[0.00001255219,0.000005545693,0.0036176261,0.0006267473,0.000016232807,0.00007664608,0.0029719195,0.00046596475,0.00020219221,0.05423192,0.9376951,0.00007761822],"about_ca_topic_score_codex":0.96464956,"about_ca_topic_score_gemma":0.9624373,"teacher_disagreement_score":0.09452456,"about_ca_system_score_codex":0.09452456,"about_ca_system_score_gemma":0.18579747,"threshold_uncertainty_score":0.6858269},"labels":[],"label_agreement":null},{"id":"W584048904","doi":"10.22004/ag.econ.274619","title":"Least Squares Model Averaging by Prediction Criterion","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Estimator; Mathematics; Applied mathematics; Mean squared error; Model selection; Inference; Least-squares function approximation; Statistics; Statistical inference; Asymptotic distribution; Mathematical optimization; Computer science; Artificial intelligence","score_opus":0.10868882556789555,"score_gpt":0.22920055234572398,"score_spread":0.12051172677782843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W584048904","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029510444,0.00009554392,0.99630356,0.000066764616,0.00001988635,0.000012682229,0.000022210103,0.00016814136,0.00036013583],"genre_scores_gemma":[0.35003662,0.00044680331,0.64507633,0.00027665685,0.0002397812,0.0002620084,0.0006863157,0.00036637695,0.0026091686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99637955,0.0018479178,0.00013969377,0.0005778517,0.0008928459,0.00016221737],"domain_scores_gemma":[0.9953172,0.0027988956,0.00039644193,0.0006935513,0.0007023078,0.00009167366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004622992,0.0010236679,0.0018978963,0.0013095496,0.00053456397,0.0010654016,0.0021309867,0.0010264002,0.0019529604],"category_scores_gemma":[0.018914714,0.00050176244,0.0011704905,0.0013325828,0.0007809328,0.0020986283,0.0013085752,0.0014407919,0.00062603905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082135266,0.00009984385,0.0037129638,0.0001919313,0.00038668906,0.0001316301,0.000095548734,0.6390422,0.004710278,0.12942313,0.0039831246,0.21814045],"study_design_scores_gemma":[0.00000686111,0.000036917536,0.000358646,0.000007737996,0.000023098813,0.000039281385,0.0000065393037,0.9667292,0.00092140684,0.030672042,0.0011845086,0.000013765138],"about_ca_topic_score_codex":0.003031891,"about_ca_topic_score_gemma":0.002198121,"teacher_disagreement_score":0.004622992,"about_ca_system_score_codex":0.0007109193,"about_ca_system_score_gemma":0.0014751386,"threshold_uncertainty_score":0.02444905},"labels":[],"label_agreement":null},{"id":"W584124344","doi":"10.22004/ag.econ.314678","title":"Macroeconomic Impact and Benefit/Cost Analysis of Transportation and Mining Developments in the Northwest Territories","year":2021,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Transportation; U.S. Department of Energy","keywords":"Economic impact analysis; Cost–benefit analysis; Transport economics; Transport engineering; Business; Regional science; Environmental planning; Natural resource economics; Economics; Geography; Engineering; Civil engineering; Political science","score_opus":0.028013735548548798,"score_gpt":0.258605974671474,"score_spread":0.2305922391229252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W584124344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685092,0.00043421253,0.0013471651,0.0003165058,0.000014472825,0.000060992403,0.0039730645,0.000016159038,0.025328336],"genre_scores_gemma":[0.99365544,0.00063481287,0.00055663846,0.000016158814,0.000005750382,0.000017863998,0.002002075,0.000004973894,0.0031063606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931705,0.00021740416,0.000022222071,0.000036557863,0.00024092621,0.00016589438],"domain_scores_gemma":[0.9991769,0.00021251467,0.00011956276,0.000040123206,0.0003756464,0.000075209355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007140607,0.00022603857,0.0003221956,0.0011589566,0.00041705748,0.0015649422,0.0003858767,0.0002612705,0.0019628522],"category_scores_gemma":[0.0018859754,0.00020237628,0.00075527426,0.0020814717,0.00036024835,0.0005171746,0.0006121189,0.0006431938,0.00012831383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051549036,0.00017225712,0.27071726,0.000118213684,0.00033985733,0.0009317154,0.00018751243,0.69036084,0.0014993893,0.013493685,0.0016697866,0.01999399],"study_design_scores_gemma":[0.000044149252,0.00034802666,0.7114279,0.0000637299,0.00035849682,0.00023469362,0.0026720914,0.26526725,0.0028015976,0.0035939182,0.013082069,0.00010607493],"about_ca_topic_score_codex":0.5098635,"about_ca_topic_score_gemma":0.5548407,"teacher_disagreement_score":0.4901365,"about_ca_system_score_codex":0.0076339836,"about_ca_system_score_gemma":0.0035734281,"threshold_uncertainty_score":0.986046},"labels":[],"label_agreement":null},{"id":"W587022581","doi":"10.22004/ag.econ.150525","title":"Evolving Consumer Acceptance of Biotechnology Applications in Canada: Evidence from the Public Opinion Surveys in 2001 (fifth wave) and 2011 (seventh wave)","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public opinion; Biotechnology; Political science; Engineering; Law; Biology; Politics","score_opus":0.0920819879632866,"score_gpt":0.2446189320632941,"score_spread":0.1525369441000075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W587022581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647414,0.0013803382,0.0002299979,0.0075192363,0.00004297088,0.00010864601,0.014212263,0.000023207154,0.011741864],"genre_scores_gemma":[0.9875923,0.0012079541,0.00024044707,0.0013958694,0.000019388508,0.000048280344,0.0040561324,0.000012212609,0.005427397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951626,0.00032565766,0.0001926244,0.00033120587,0.0030245103,0.0009633223],"domain_scores_gemma":[0.96642727,0.0043681343,0.0062325946,0.00062073075,0.018492695,0.0038585772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003682865,0.00028898532,0.00042978517,0.0025950628,0.0028920495,0.0028435776,0.0014631824,0.0014838941,0.0046060816],"category_scores_gemma":[0.015354892,0.00038751398,0.0007317732,0.008209041,0.0014498837,0.0012032675,0.0013833011,0.001791564,0.00041352084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026900545,0.00015409707,0.9562159,0.00015218055,0.000092346105,0.00009895346,0.008048209,0.00024549608,0.0002497681,0.0010461072,0.014200096,0.019227862],"study_design_scores_gemma":[0.000012181378,0.000023368792,0.98939383,0.00005228726,0.000018812842,0.000011188948,0.004988812,0.00030532925,0.00008227227,0.00005118008,0.0050384686,0.000022318187],"about_ca_topic_score_codex":0.9974094,"about_ca_topic_score_gemma":0.9982785,"teacher_disagreement_score":0.05074651,"about_ca_system_score_codex":0.05074651,"about_ca_system_score_gemma":0.06278157,"threshold_uncertainty_score":0.36819345},"labels":[],"label_agreement":null},{"id":"W591978762","doi":"10.22004/ag.econ.142911","title":"ITQs and Fisheries Management: Policy Risk in Canadian Sablefish","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fishery; Business; Fisheries management; Risk management; Finance; Fishing; Biology","score_opus":0.018442429224462775,"score_gpt":0.22206833655523237,"score_spread":0.2036259073307696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W591978762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63156116,0.008839522,0.004495797,0.18256311,0.00017272678,0.0000695152,0.0013802226,0.00008452091,0.1708335],"genre_scores_gemma":[0.9838763,0.002014979,0.0005014527,0.002225895,0.000042038122,0.000011331792,0.00010232391,0.0000144133755,0.011211245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9972377,0.0005535315,0.00011522969,0.00021922671,0.00089331495,0.0009810368],"domain_scores_gemma":[0.99143,0.0029854646,0.0014322354,0.000348212,0.0028180142,0.0009861275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003590621,0.00022876915,0.000273404,0.0013233678,0.0029270798,0.0065804953,0.0009293557,0.003000499,0.0072767357],"category_scores_gemma":[0.015927589,0.00020440806,0.00046611103,0.0025091507,0.0035142475,0.0030833534,0.0018451946,0.0022585175,0.00021959965],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033636775,0.0002229608,0.1923975,0.00030548807,0.00013044098,0.0006563211,0.0046412754,0.0351191,0.0008826297,0.61402917,0.02920472,0.12207404],"study_design_scores_gemma":[0.00005647961,0.00017201137,0.3531005,0.0008226474,0.00024298784,0.00036191774,0.03127575,0.058298387,0.0012193659,0.35051748,0.20364429,0.000288178],"about_ca_topic_score_codex":0.8927858,"about_ca_topic_score_gemma":0.8713791,"teacher_disagreement_score":0.10721421,"about_ca_system_score_codex":0.03875415,"about_ca_system_score_gemma":0.037069,"threshold_uncertainty_score":0.28118235},"labels":[],"label_agreement":null},{"id":"W594672036","doi":"10.22004/ag.econ.314677","title":"Trucking in a Borderless Market: A Profile of the Canadian Trucking Industry, 1988 to 1994","year":2021,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trucking industry; Deregulation; Commodity; Context (archaeology); International trade; Business; Free trade agreement; Economics; Free trade; Finance; Engineering; Truck; Market economy; Geography","score_opus":0.024581100153200638,"score_gpt":0.20712646849804553,"score_spread":0.1825453683448449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W594672036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600006,0.0018578998,0.00014993886,0.0013998776,0.00002376485,0.00009774617,0.00993517,0.000031163258,0.02650387],"genre_scores_gemma":[0.9682404,0.003019156,0.00029906636,0.0004522866,0.000018104112,0.000024715226,0.007936367,0.000023179244,0.01998669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991264,0.000015511137,0.00001603211,0.000058753638,0.00041308394,0.0003702725],"domain_scores_gemma":[0.9985336,0.000029119177,0.00018906595,0.000018516586,0.00086571317,0.00036402082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039724624,0.0002932646,0.00024823082,0.00396746,0.004512191,0.00210114,0.0009943339,0.0005580766,0.005169712],"category_scores_gemma":[0.0011079827,0.0002252348,0.00023064655,0.009788478,0.000823208,0.0009073193,0.0009103366,0.0005591183,0.00091951515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002591148,0.00022385971,0.87359786,0.00024614026,0.00003339381,0.00097483024,0.013534361,0.0005481489,0.0018791833,0.0038375906,0.028163275,0.076702334],"study_design_scores_gemma":[0.000004982535,0.000029875919,0.95486593,0.000039050617,0.000009041361,0.00016305016,0.010758803,0.0003500203,0.0001555211,0.00008257089,0.03351847,0.000022764712],"about_ca_topic_score_codex":0.9919962,"about_ca_topic_score_gemma":0.9975526,"teacher_disagreement_score":0.02268914,"about_ca_system_score_codex":0.02268914,"about_ca_system_score_gemma":0.030144574,"threshold_uncertainty_score":0.16462201},"labels":[],"label_agreement":null},{"id":"W599358319","doi":"10.22004/ag.econ.150994","title":"Donor Aid Cuts, Kenya Elections Affect Uganda Business Climate","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pace; Business environment; Business; Business cycle; Climate change; Presidential system; Economics; Development economics; Demographic economics; Geography; Macroeconomics; Political science","score_opus":0.03055469976670482,"score_gpt":0.2815106622847243,"score_spread":0.2509559625180195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W599358319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527055,0.00079133175,0.000068388996,0.004067164,0.000080502046,0.000023111297,0.00044987313,0.00001269323,0.04180137],"genre_scores_gemma":[0.99208987,0.00053789496,0.00005407036,0.0003630481,0.000019823143,0.000015767442,0.00019423098,0.000005983636,0.006719197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953616,0.00013804756,0.000013512755,0.000024241379,0.000052760224,0.00023531709],"domain_scores_gemma":[0.99850166,0.000119379445,0.0005667307,0.000026207885,0.00020113042,0.00058489904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052981166,0.00014640336,0.00012930897,0.0005451288,0.0026299926,0.0027496782,0.00021570476,0.0006744672,0.012403781],"category_scores_gemma":[0.0025269517,0.00017137387,0.00009417121,0.0008231916,0.0006006529,0.0008545662,0.0018820416,0.0008307077,0.0012678896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008529938,0.0005996509,0.81933075,0.00032140588,0.000073219475,0.0023422649,0.021606887,0.0012809241,0.0022926938,0.009037779,0.067642,0.07461944],"study_design_scores_gemma":[0.00001991855,0.00008630344,0.9304002,0.00012386047,0.000010437763,0.00015569192,0.024597676,0.00018571081,0.00031766968,0.0005789088,0.043500062,0.000023565286],"about_ca_topic_score_codex":0.023218425,"about_ca_topic_score_gemma":0.06870212,"teacher_disagreement_score":0.023218425,"about_ca_system_score_codex":0.0015160339,"about_ca_system_score_gemma":0.0013100093,"threshold_uncertainty_score":0.04616654},"labels":[],"label_agreement":null},{"id":"W603479604","doi":"10.22004/ag.econ.189877","title":"Starting an Independent Rural Appraisal Business","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agribusiness; Business; Economics; Natural resource economics; Geography; Agriculture","score_opus":0.04110967512368291,"score_gpt":0.2302743564281202,"score_spread":0.18916468130443728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W603479604","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.944995,0.0003377273,0.000710463,0.0012818169,0.00007064992,0.00017068276,0.000083736595,0.000052111376,0.052297857],"genre_scores_gemma":[0.9526593,0.00067982945,0.002312828,0.00070338935,0.00005222183,0.00006427469,0.00023913628,0.000031268275,0.043257743],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960454,0.00095907337,0.00011602204,0.00032744952,0.0013013228,0.0012506624],"domain_scores_gemma":[0.9692935,0.003662597,0.0028533353,0.00093102927,0.0059476756,0.017311875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035151176,0.00029342627,0.00034030929,0.0012510164,0.0049359077,0.003148175,0.0009490923,0.00085642486,0.018798523],"category_scores_gemma":[0.010928763,0.00048445107,0.00024967038,0.0007683574,0.0016078791,0.0018956385,0.0019126267,0.0021081383,0.003793942],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046062804,0.0031441608,0.5199754,0.00037793978,0.000048327547,0.003516216,0.13315412,0.00033534865,0.009694874,0.0067692315,0.05649654,0.26602712],"study_design_scores_gemma":[0.0000326951,0.0010572881,0.5618888,0.00034775306,0.000021656233,0.0017244683,0.21048972,0.0005388196,0.0013327342,0.0013031844,0.22113766,0.00012525104],"about_ca_topic_score_codex":0.011179253,"about_ca_topic_score_gemma":0.052869596,"teacher_disagreement_score":0.018798523,"about_ca_system_score_codex":0.0016939322,"about_ca_system_score_gemma":0.0065395036,"threshold_uncertainty_score":0.06288737},"labels":[],"label_agreement":null},{"id":"W606706653","doi":"10.22004/ag.econ.150958","title":"Do Patent Citations Predict Market Value? The Case of Agricultural Biotechnology Patents","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Agricultural biotechnology; Agriculture; Business; Value (mathematics); Intellectual property; Biotechnology; Patent analysis; Patent law; Market value; Industrial organization; International trade; Agricultural economics; Economics; Geography; Accounting; Mathematics; Data science; Computer science; Biology; Statistics","score_opus":0.1219317980748259,"score_gpt":0.21966159293926943,"score_spread":0.09772979486444353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W606706653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713641,0.00557693,0.0011132468,0.007142355,0.00009345881,0.000023723298,0.00052522804,0.000039588995,0.014121407],"genre_scores_gemma":[0.9983382,0.00037006315,0.00006040864,0.000048999085,0.00010888696,0.0000023434995,0.00015572901,0.000004536848,0.0009108216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983529,0.0005087805,0.0001256737,0.00031574725,0.00043258036,0.0002642866],"domain_scores_gemma":[0.849849,0.11493858,0.022788458,0.0029782057,0.0053263674,0.0041193846],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00494539,0.00057027466,0.00084092066,0.0051235883,0.0006904092,0.0050110924,0.0010111661,0.0024801758,0.010083887],"category_scores_gemma":[0.050373204,0.00018169386,0.0011022582,0.0046189437,0.0016175675,0.0043691806,0.00076065754,0.002282588,0.0011793845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043846187,0.0002897741,0.9540676,0.00018167093,0.00052598165,0.0018343101,0.00035826475,0.008577314,0.0006596948,0.0097880075,0.0032539982,0.020024905],"study_design_scores_gemma":[0.000106018626,0.00035788762,0.9024154,0.0002148517,0.00074887625,0.0009531855,0.0012703359,0.053949952,0.0022354915,0.031834308,0.005831034,0.00008259874],"about_ca_topic_score_codex":0.015225197,"about_ca_topic_score_gemma":0.0070104576,"teacher_disagreement_score":0.9948764,"about_ca_system_score_codex":0.0015058754,"about_ca_system_score_gemma":0.0012021855,"threshold_uncertainty_score":0.033733964},"labels":[],"label_agreement":null},{"id":"W614221082","doi":"10.22004/ag.econ.158572","title":"Taxing a Natural Resource with a Minimum Revenue Requirement","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ad valorem tax; Revenue; Natural resource; Economics; Tax revenue; Microeconomics; Value (mathematics); Resource (disambiguation); Value-added tax; Tax basis; Tax reform; Public economics; Business; State income tax; Finance; Computer science; Gross income","score_opus":0.06804546605993589,"score_gpt":0.19196736791888866,"score_spread":0.12392190185895277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W614221082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57208556,0.00069183175,0.13438737,0.0036372428,0.00023503756,0.00057613297,0.0010944296,0.00033865846,0.28695378],"genre_scores_gemma":[0.9729198,0.00019633415,0.012504717,0.0002085377,0.000046811503,0.000081008926,0.00020791635,0.000028612105,0.013806116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99818784,0.00038355854,0.00009309475,0.00023310728,0.00060281,0.0004995843],"domain_scores_gemma":[0.9982199,0.00049459963,0.0004131603,0.0003426072,0.00037373794,0.0001558957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017429828,0.0004716653,0.0006053945,0.00071696617,0.00080076855,0.003028153,0.00095886167,0.0015044771,0.0061007673],"category_scores_gemma":[0.006630583,0.00028655122,0.0008404664,0.0008575006,0.0009949526,0.0023006147,0.0011472037,0.0017113341,0.00095804123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031829296,0.00042894503,0.012470477,0.00014695102,0.0001503015,0.0003123102,0.00011810256,0.06581433,0.01020507,0.8467105,0.0062775747,0.057047147],"study_design_scores_gemma":[0.00039497102,0.0015209804,0.05107172,0.00038851172,0.0004241423,0.0026168618,0.0008123159,0.30824172,0.025534155,0.50795376,0.1007853,0.00025553023],"about_ca_topic_score_codex":0.004988978,"about_ca_topic_score_gemma":0.006367992,"teacher_disagreement_score":0.0061007673,"about_ca_system_score_codex":0.0018175374,"about_ca_system_score_gemma":0.0029255368,"threshold_uncertainty_score":0.020409107},"labels":[],"label_agreement":null},{"id":"W616429056","doi":"10.22004/ag.econ.314679","title":"Perspectives d'evolution de la demande de transport de marchandises au Quebec","year":2021,"lang":"fr","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.017494883908212747,"score_gpt":0.2087885038626255,"score_spread":0.19129361995441277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W616429056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436213,0.00172874,0.0017493982,0.004921501,0.000053812382,0.00001815142,0.003000906,0.000035824763,0.04487047],"genre_scores_gemma":[0.97279423,0.0009606592,0.00046897907,0.0001603282,0.0000238208,0.000009177012,0.00066788576,0.000018087996,0.024896855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996051,0.00006840659,0.0000122373685,0.00005486783,0.00012975559,0.00012961558],"domain_scores_gemma":[0.9990324,0.0002788178,0.00008088635,0.00002218242,0.000495283,0.000090511385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049057626,0.00038611898,0.00030416087,0.0013663729,0.0012546602,0.0033810618,0.0006772165,0.0006804554,0.01471653],"category_scores_gemma":[0.0018712183,0.00022181426,0.00065202534,0.0028099942,0.0005949331,0.0010981451,0.0003663569,0.0009847005,0.00040690112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001199278,0.00030737737,0.6113032,0.0003463912,0.0004953797,0.0031371855,0.010997776,0.09340759,0.00975706,0.11371759,0.019711694,0.13561958],"study_design_scores_gemma":[0.000027182108,0.00009576665,0.9087141,0.000097707365,0.00007023685,0.00014363586,0.00825848,0.031165186,0.0006931897,0.002737125,0.04789896,0.00009850479],"about_ca_topic_score_codex":0.9847888,"about_ca_topic_score_gemma":0.9792301,"teacher_disagreement_score":0.034781724,"about_ca_system_score_codex":0.034781724,"about_ca_system_score_gemma":0.0084054945,"threshold_uncertainty_score":0.25236022},"labels":[],"label_agreement":null},{"id":"W655401019","doi":"10.22004/ag.econ.137659","title":"Rent Seeking and the Smoke and Mirrors Game in the Creation of Forest Sector Carbon Credits: An Example from British Columbia","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Victoria","keywords":"Carbon offset; Additionality; Greenhouse gas; Forest management; Carbon credit; Natural resource economics; Carbon sequestration; Carbon price; Business; Transaction cost; Forestry; Economics; Environmental economics; Finance; Geography; Ecology; Carbon dioxide","score_opus":0.05895654600465686,"score_gpt":0.24653503522111345,"score_spread":0.1875784892164566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W655401019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7578031,0.0012346191,0.0016862894,0.0055663874,0.000029842611,0.000058417572,0.00034259734,0.000045267785,0.23323356],"genre_scores_gemma":[0.976601,0.0005858415,0.00079632725,0.0002574839,0.0000049055857,0.000015656951,0.00011029418,0.0000157748,0.021612633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995523,0.00012816436,0.000009629724,0.00003399112,0.000098165496,0.0001776856],"domain_scores_gemma":[0.99919313,0.00028817248,0.0000369688,0.000052457493,0.00022543481,0.00020380734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048630798,0.000240472,0.00043529703,0.0011354722,0.006692959,0.003092841,0.0010156668,0.0014658001,0.007501409],"category_scores_gemma":[0.002110509,0.00017720465,0.00031166503,0.001986023,0.0022118262,0.0010281653,0.001044273,0.0012392263,0.00029753207],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061239215,0.0008170304,0.15936403,0.00030496033,0.00018765945,0.009813621,0.015260368,0.041750483,0.0026187154,0.6034908,0.06733651,0.0984434],"study_design_scores_gemma":[0.00056634325,0.00021394629,0.20475036,0.00038685362,0.00026869,0.0015784989,0.102097444,0.18458134,0.0019992553,0.15318146,0.34995127,0.0004246054],"about_ca_topic_score_codex":0.962499,"about_ca_topic_score_gemma":0.98473233,"teacher_disagreement_score":0.037500978,"about_ca_system_score_codex":0.02038375,"about_ca_system_score_gemma":0.01213177,"threshold_uncertainty_score":0.1478951},"labels":[],"label_agreement":null},{"id":"W657357617","doi":"10.22004/ag.econ.274650","title":"Stock-based Compensation Plans and Employee Incentives","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Incentive; Restricted stock; Executive compensation; Non-qualified stock option; Stock options; Business; Stock (firearms); Empirical evidence; Incentive program; Principal–agent problem; Contract theory; Finance; Microeconomics; Economics; Stock market; Corporate governance","score_opus":0.036867721141040984,"score_gpt":0.220718286138552,"score_spread":0.183850564997511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W657357617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81725615,0.0029278104,0.04856381,0.0118728,0.00014085247,0.00011910661,0.00028447638,0.00009450023,0.11874055],"genre_scores_gemma":[0.9935667,0.00034880175,0.0013691142,0.00010959468,0.000031183972,0.000013801417,0.000025102088,0.000003453659,0.004532305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898297,0.0004990588,0.00005790315,0.00008088875,0.00020086288,0.00017824527],"domain_scores_gemma":[0.9926196,0.0034215925,0.0025075292,0.00039440562,0.00047337476,0.00058358954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030209206,0.00024730124,0.0001985911,0.00051946647,0.000508494,0.0018834682,0.00032505198,0.0014351016,0.005995511],"category_scores_gemma":[0.0109315775,0.00020614632,0.0001723088,0.00043841152,0.0012908495,0.0017434899,0.0008334348,0.0009394434,0.00029802494],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031463947,0.0003895669,0.044341892,0.00007901715,0.000054492746,0.00018725319,0.00066064764,0.03661637,0.0009938462,0.834212,0.0042844294,0.07786589],"study_design_scores_gemma":[0.00019001191,0.0003085713,0.056894116,0.00015235392,0.000049568655,0.00015433546,0.0007091142,0.07767972,0.0013923321,0.8432678,0.01914357,0.000058462825],"about_ca_topic_score_codex":0.0016061105,"about_ca_topic_score_gemma":0.0021451928,"teacher_disagreement_score":0.005995511,"about_ca_system_score_codex":0.0012877244,"about_ca_system_score_gemma":0.0012382187,"threshold_uncertainty_score":0.020056963},"labels":[],"label_agreement":null},{"id":"W6888579600","doi":"10.22004/ag.econ.305935","title":"On the Operating Aspects of Material Distribution Activity within the Canadian Forces","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Field (mathematics); Work (physics); Stability (learning theory)","score_opus":0.05154240802587732,"score_gpt":0.27664799267017415,"score_spread":0.22510558464429684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888579600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66464806,0.0009977228,0.0012331482,0.004469548,0.000013553213,0.000059572856,0.00043700787,0.000015899,0.32812554],"genre_scores_gemma":[0.98843026,0.00040586118,0.00026326382,0.00005691302,0.000007174586,0.0000041144426,0.000049915998,0.0000054545467,0.010776916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99852556,0.00019505966,0.000024459556,0.000060114726,0.00043993143,0.00075496273],"domain_scores_gemma":[0.99625033,0.0011770072,0.00034973418,0.00010541572,0.0014243614,0.0006932135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012564264,0.00018200927,0.00013171729,0.0018881273,0.0049251504,0.0043934085,0.00090658217,0.0005469014,0.008245498],"category_scores_gemma":[0.0050600152,0.0001422706,0.00023110354,0.003329259,0.0034674366,0.0015310586,0.000927921,0.00071698637,0.00028521565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002555714,0.00027520323,0.39075187,0.0001118524,0.000044490243,0.00065922376,0.024249027,0.009615628,0.002705751,0.42310664,0.012346755,0.13587801],"study_design_scores_gemma":[0.0000067910005,0.000043858938,0.85294443,0.00014906612,0.000036103433,0.00009404173,0.056416787,0.0040287487,0.0006289796,0.01646692,0.069141686,0.00004266896],"about_ca_topic_score_codex":0.9705467,"about_ca_topic_score_gemma":0.9884367,"teacher_disagreement_score":0.05992341,"about_ca_system_score_codex":0.05992341,"about_ca_system_score_gemma":0.04465916,"threshold_uncertainty_score":0.43477678},"labels":[],"label_agreement":null},{"id":"W6888583396","doi":"10.22004/ag.econ.289872","title":"New Farmers and Alternative Markets Within the Supply- Managed System Metcalf Food Solutions","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"George Cedric Metcalf Charitable Foundation","keywords":"Foundation (evidence); Food systems; Production (economics); Government (linguistics)","score_opus":0.017190569455828843,"score_gpt":0.1827164593169826,"score_spread":0.16552588986115377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888583396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7131264,0.00091073214,0.0181863,0.030666621,0.00021188863,0.00025752635,0.00012396918,0.000101380334,0.23641518],"genre_scores_gemma":[0.95906943,0.00012794012,0.0031210522,0.00060110533,0.00006200477,0.000058369656,0.000015238431,0.000016943955,0.036927987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985707,0.0005135411,0.000025825952,0.0002673603,0.0002819262,0.0003406424],"domain_scores_gemma":[0.9986438,0.0005023431,0.00017368038,0.00009147173,0.00017331206,0.00041532406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025203102,0.00013166429,0.00017634954,0.00051171036,0.0037905986,0.007359748,0.00094206515,0.0021239007,0.028300289],"category_scores_gemma":[0.0029844318,0.0003110725,0.00026304813,0.0005063354,0.0033005867,0.0061740167,0.0025584714,0.0014430961,0.00047539323],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005885248,0.0006101889,0.014598685,0.00008938826,0.000027946382,0.0011319111,0.006676668,0.0064623184,0.004037686,0.85141534,0.015925948,0.09843537],"study_design_scores_gemma":[0.00060937396,0.001587115,0.031156057,0.00036485962,0.00006188878,0.0008443876,0.030040745,0.08196469,0.0035778077,0.37590256,0.4737239,0.00016669322],"about_ca_topic_score_codex":0.011034959,"about_ca_topic_score_gemma":0.04622255,"teacher_disagreement_score":0.98896503,"about_ca_system_score_codex":0.0063332804,"about_ca_system_score_gemma":0.007072352,"threshold_uncertainty_score":0.09467387},"labels":[],"label_agreement":null},{"id":"W6888657145","doi":"10.22004/ag.econ.143625","title":"AgLetter","year":2011,"lang":"fr","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agriculture; Land Values; Value (mathematics); Agricultural land","score_opus":0.0663528932107884,"score_gpt":0.2010504130691845,"score_spread":0.13469751985839612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888657145","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014869678,0.00029164867,0.0005689035,0.0044301306,0.0033392769,0.00015385184,0.0034222591,0.0026742215,0.98363274],"genre_scores_gemma":[0.0025371418,0.00019306333,0.00018497366,0.0017313951,0.00057193585,0.00003387076,0.0018204247,0.0003506366,0.99257654],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991553,0.000120272176,0.000044248023,0.0001185291,0.00041256327,0.00014917468],"domain_scores_gemma":[0.9965287,0.0004771177,0.00018323808,0.0005022711,0.0014048112,0.00090396777],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007461168,0.00060139556,0.0004175631,0.0019951588,0.0015129809,0.0036136708,0.00083567936,0.0019220455,0.86176264],"category_scores_gemma":[0.004190312,0.000306508,0.00035722408,0.0010967384,0.0003708026,0.0013905307,0.0021709495,0.0009224526,0.8332067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039213894,0.00005414527,0.0005051972,0.000038084436,0.0000012108001,0.00007344546,0.000041275034,0.000011985424,0.0002902,0.0010504391,0.9354814,0.062413335],"study_design_scores_gemma":[0.000006605032,0.00001103246,0.000667139,0.0000213434,7.8373927e-7,0.00006879222,0.000036851226,0.000027009393,0.00009013732,0.00020174339,0.9988662,0.0000023882976],"about_ca_topic_score_codex":0.0027699617,"about_ca_topic_score_gemma":0.0047676233,"teacher_disagreement_score":0.13823736,"about_ca_system_score_codex":0.0006697975,"about_ca_system_score_gemma":0.0011825829,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W6888696362","doi":"10.22004/ag.econ.45517","title":"An Evaluation of Canadian and U.S. Policies of Log and Lumber Markets","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stumpage; Subsidy; Trade war; Duty; Vertical integration; Empirical research; World War II; Exportation; Economic impact analysis","score_opus":0.038122240074728204,"score_gpt":0.2440232019965437,"score_spread":0.2059009619218155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888696362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7828741,0.0015859777,0.0006232797,0.0048824046,0.000059210917,0.00012519218,0.0015951851,0.0000358579,0.2082189],"genre_scores_gemma":[0.99280894,0.0007347139,0.00048719344,0.00046844242,0.000011638739,0.000021348813,0.00042166872,0.00000634074,0.0050398177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945767,0.0007509323,0.0000918264,0.0002772724,0.0028982677,0.0014050698],"domain_scores_gemma":[0.99176687,0.0023462805,0.00089033536,0.00023999668,0.003968673,0.0007878499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040876856,0.00026923057,0.00025159234,0.0017514409,0.0036903468,0.0029563676,0.0011213383,0.00081414514,0.0037677325],"category_scores_gemma":[0.0145089645,0.00017605789,0.00056237774,0.002340248,0.0015853944,0.0010899142,0.0009487668,0.0008391856,0.00012801393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001646239,0.0010800994,0.45739073,0.0004459538,0.00024525457,0.0005205292,0.0034163438,0.033446923,0.0024558534,0.29918256,0.041963466,0.15820614],"study_design_scores_gemma":[0.00020297548,0.00067572953,0.8484388,0.00022950483,0.0003168916,0.00012582893,0.013392927,0.017735146,0.003953145,0.0057163914,0.10908492,0.0001276802],"about_ca_topic_score_codex":0.9772414,"about_ca_topic_score_gemma":0.9880314,"teacher_disagreement_score":0.06092255,"about_ca_system_score_codex":0.06092255,"about_ca_system_score_gemma":0.08036771,"threshold_uncertainty_score":0.44202608},"labels":[],"label_agreement":null},{"id":"W6888703973","doi":"10.22004/ag.econ.358575","title":"Contribution of International Nongovernmental Organisations Towards Sustainable Health Promotion in the Northern Region of Ghana","year":2003,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Health promotion; Agency (philosophy); Health policy; International health; Public health; International development; Promotion (chess); Sustainable development","score_opus":0.022427487146648793,"score_gpt":0.255718058854138,"score_spread":0.2332905717074892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888703973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91449624,0.0076424857,0.00066706963,0.009643697,0.00040140667,0.00040175594,0.00012716466,0.000032632746,0.066587694],"genre_scores_gemma":[0.9905765,0.0028299098,0.0004965358,0.0004870485,0.000060459115,0.00006675387,0.000032402448,0.0000063123675,0.00544415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963497,0.002209517,0.000092732895,0.00013879615,0.00036954606,0.0008397448],"domain_scores_gemma":[0.99137646,0.0025438273,0.0017400814,0.00031036415,0.0006326696,0.0033966817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004741481,0.00032905166,0.00018230717,0.0010511567,0.001893523,0.0026675493,0.00039821005,0.00061134587,0.0047169854],"category_scores_gemma":[0.008039604,0.000174824,0.00010966481,0.0012423174,0.0011793037,0.0007645451,0.003009103,0.0007900508,0.0002345143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005147217,0.0009235548,0.42153198,0.0022242593,0.00009712479,0.0053115417,0.18189418,0.0006042711,0.0033824847,0.011266561,0.01332546,0.35892382],"study_design_scores_gemma":[0.00006073091,0.00064855174,0.40982625,0.0017413808,0.00007209704,0.0016424806,0.33495152,0.00028193154,0.00080278376,0.0018748265,0.2480612,0.000036291032],"about_ca_topic_score_codex":0.0045184195,"about_ca_topic_score_gemma":0.0071653016,"teacher_disagreement_score":0.004741481,"about_ca_system_score_codex":0.0016880762,"about_ca_system_score_gemma":0.006100788,"threshold_uncertainty_score":0.025075614},"labels":[],"label_agreement":null},{"id":"W6888732014","doi":"10.22004/ag.econ.289921","title":"Review of Regulated Marketing In British Columbia The Economic Environment: Implications for the Regulated Marketing System","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marketing management; Marketing research; Market system; Business-to-government; Marketing strategy","score_opus":0.02936930970340367,"score_gpt":0.20464909802604872,"score_spread":0.17527978832264504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888732014","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011589271,0.992359,0.00004943239,0.0034947074,0.00035329306,0.000010677533,0.0002107339,0.0000058134633,0.002357385],"genre_scores_gemma":[0.012077212,0.9843575,0.00017699567,0.0019930347,0.00019530408,0.000015047069,0.00023375641,0.000005906611,0.00094528176],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959558,0.00073810806,0.0007282944,0.00030902075,0.0019367731,0.0003320045],"domain_scores_gemma":[0.9690337,0.011425074,0.003406111,0.0005162711,0.014804547,0.00081423565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006889909,0.00054491917,0.0016160473,0.01252454,0.0013290808,0.0052694986,0.0016812651,0.0016056355,0.002665476],"category_scores_gemma":[0.019599952,0.00059811556,0.00077157887,0.03154123,0.0021377301,0.0012076803,0.0009404056,0.0015976302,0.0002968965],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002170156,0.00008053451,0.005308121,0.07506354,0.0007292391,0.00024174726,0.001442653,0.0014549362,0.0005419146,0.012264487,0.22595108,0.67670476],"study_design_scores_gemma":[0.000026603655,0.000045552155,0.05068018,0.07708844,0.0009969182,0.00015293353,0.00102837,0.00019672612,0.00024609064,0.0011693536,0.86829996,0.00006879594],"about_ca_topic_score_codex":0.7717032,"about_ca_topic_score_gemma":0.90767884,"teacher_disagreement_score":0.22829682,"about_ca_system_score_codex":0.038320847,"about_ca_system_score_gemma":0.088920094,"threshold_uncertainty_score":0.45928258},"labels":[],"label_agreement":null},{"id":"W6888747547","doi":"10.22004/ag.econ.34489","title":"E.D. SMITH AND SONS, LTD.","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Work (physics); Parent company; Key (lock); Private sector","score_opus":0.025735330185712595,"score_gpt":0.19609473963492435,"score_spread":0.17035940944921177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888747547","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010402035,0.023018902,0.012725602,0.005057735,0.0033138057,0.00028545698,0.010488389,0.0041920105,0.9398779],"genre_scores_gemma":[0.004154676,0.017337106,0.012190909,0.0012436061,0.00028714034,0.00027438113,0.006799721,0.0012807802,0.9564317],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9987835,0.00009903276,0.000112520276,0.00039846145,0.00054395874,0.00006250477],"domain_scores_gemma":[0.99614125,0.0005452405,0.00027029673,0.00051915366,0.0020518028,0.00047234102],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010825632,0.0034695102,0.0021409243,0.0029592798,0.0013470555,0.004286162,0.0015252845,0.0020210354,0.488466],"category_scores_gemma":[0.003036738,0.0012027617,0.0011242212,0.0043813717,0.0010876004,0.0038988725,0.001847484,0.004017108,0.5081536],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013845613,0.000071010036,0.0006262483,0.0009671084,0.000033227883,0.0005254618,0.00022174444,0.00071877235,0.0023995885,0.012201754,0.5415561,0.4405405],"study_design_scores_gemma":[0.000022815297,0.000035086916,0.00062935427,0.00042225837,0.000014424546,0.00033213495,0.000090624504,0.00023443569,0.0003686303,0.0019691375,0.9958664,0.000014716256],"about_ca_topic_score_codex":0.008428466,"about_ca_topic_score_gemma":0.01719309,"teacher_disagreement_score":0.488466,"about_ca_system_score_codex":0.0013084006,"about_ca_system_score_gemma":0.0035356174,"threshold_uncertainty_score":0.7296412},"labels":[],"label_agreement":null},{"id":"W6888749701","doi":"10.22004/ag.econ.236761","title":"Case Study Analysis for Sector Research and Teaching Support","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Public sector; Scientific literature; Research methodology","score_opus":0.23827652993796275,"score_gpt":0.34544052176147344,"score_spread":0.10716399182351069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888749701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006398394,0.023924617,0.78364867,0.041816067,0.004890338,0.008814256,0.004880884,0.0022582447,0.12336844],"genre_scores_gemma":[0.05476634,0.008267799,0.90824217,0.0019424739,0.0010751878,0.013881114,0.00217963,0.00047589318,0.00916943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.8812323,0.09155126,0.0093619935,0.0032049038,0.013377743,0.0012718912],"domain_scores_gemma":[0.63524747,0.31579122,0.009117962,0.018696813,0.018101925,0.003044634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.083140194,0.0018037527,0.0027926737,0.017510904,0.004293611,0.013143759,0.0048555117,0.004411675,0.046413586],"category_scores_gemma":[0.17647156,0.0010446641,0.0027054881,0.020602811,0.00702148,0.010239102,0.007062638,0.0053882436,0.0046938746],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016123817,0.00029008646,0.0013753101,0.005103176,0.00024080167,0.0007197616,0.0074521443,0.0020554222,0.0004538614,0.65933347,0.08789071,0.2349241],"study_design_scores_gemma":[0.00014222218,0.00017652502,0.002041313,0.008666998,0.00011519514,0.00058197405,0.012054512,0.007491118,0.00046534147,0.4267129,0.5414398,0.00011206519],"about_ca_topic_score_codex":0.0027334667,"about_ca_topic_score_gemma":0.0036839882,"teacher_disagreement_score":0.083140194,"about_ca_system_score_codex":0.009841656,"about_ca_system_score_gemma":0.012869277,"threshold_uncertainty_score":0.43969262},"labels":[],"label_agreement":null},{"id":"W6888749769","doi":"10.22004/ag.econ.289886","title":"Canadian Chicken Market Review Market Analysis for the Chicken Industry","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Livestock and Poultry Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Fusible alloy","score_opus":0.02339977806080272,"score_gpt":0.22145298158243712,"score_spread":0.1980532035216344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888749769","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13350521,0.15050305,0.0020767183,0.026361194,0.0017043719,0.0010631367,0.0682057,0.00025611676,0.6163245],"genre_scores_gemma":[0.6872989,0.083754174,0.0034984958,0.006290501,0.0005937344,0.00030847688,0.033079926,0.00014046376,0.18503532],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996888,0.00026272112,0.00008336684,0.00015073083,0.0022978329,0.0003173137],"domain_scores_gemma":[0.985871,0.0015406267,0.0004620893,0.00016712591,0.011571744,0.00038731517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028182797,0.00044861954,0.000504173,0.008097149,0.0015346286,0.0024425942,0.0010440826,0.000691911,0.017752165],"category_scores_gemma":[0.007881731,0.00026086828,0.00078730466,0.010073468,0.00055348064,0.0007015437,0.0002488628,0.0005285328,0.0011858688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078489387,0.0001800275,0.03809985,0.0022934864,0.00032373876,0.00039539346,0.0003610761,0.0040923045,0.00089644786,0.023213768,0.75532883,0.17403023],"study_design_scores_gemma":[0.00016232682,0.00018212559,0.27783623,0.0010093454,0.00049400463,0.00019853793,0.0013169022,0.0050517856,0.0008046002,0.0013966323,0.7114377,0.00010978996],"about_ca_topic_score_codex":0.980142,"about_ca_topic_score_gemma":0.9923006,"teacher_disagreement_score":0.04736389,"about_ca_system_score_codex":0.04736389,"about_ca_system_score_gemma":0.059504814,"threshold_uncertainty_score":0.3436507},"labels":[],"label_agreement":null},{"id":"W6888806966","doi":"10.22004/ag.econ.345699","title":"PR - An Agent-based Simulation Model Of Western Canadian Prairie Agricultural Structural Change","year":2013,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Population; Woodland; Arable land; Asset (computer security); Prosperity; Diversity (politics); Land use; Yield (engineering)","score_opus":0.0747558673401747,"score_gpt":0.268669463416909,"score_spread":0.1939135960767343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888806966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.727989,0.00083555724,0.08532773,0.0028167914,0.00022460255,0.0006735828,0.022588657,0.0011652177,0.15837888],"genre_scores_gemma":[0.9572058,0.00034778673,0.013304111,0.00011314384,0.000016179052,0.00028274592,0.00369657,0.000043320768,0.024990272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976367,0.00004549624,0.000011030753,0.00005132431,0.0000549662,0.00007344223],"domain_scores_gemma":[0.9994282,0.00016523417,0.000048407226,0.000021298174,0.0002407541,0.0000960761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037832218,0.00069521525,0.00059744326,0.00065681903,0.0013388742,0.0017214098,0.0024068006,0.0013476362,0.009456605],"category_scores_gemma":[0.0014639678,0.00046166594,0.000657118,0.0009631509,0.00086899265,0.0005516554,0.00084682024,0.0008819679,0.00058736437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036589634,0.000019056673,0.0017337902,0.000016695652,0.000012993192,0.00005644631,0.000040154817,0.9919023,0.00014093443,0.00385362,0.0010076433,0.0011797831],"study_design_scores_gemma":[0.000027076816,0.000012005196,0.00081656943,0.000005062546,0.0000097704005,0.0000055224345,0.000051217994,0.9967654,0.000034238295,0.0005430053,0.0017215102,0.0000086835125],"about_ca_topic_score_codex":0.92392635,"about_ca_topic_score_gemma":0.8710947,"teacher_disagreement_score":0.07607365,"about_ca_system_score_codex":0.008923478,"about_ca_system_score_gemma":0.010130756,"threshold_uncertainty_score":0.15304327},"labels":[],"label_agreement":null},{"id":"W6888825469","doi":"10.22004/ag.econ.355348","title":"Avoid is Better than Generate: The Effect of Framing Information on Consumer Preferences and Willingness to Pay for Plant-Based Milk","year":2024,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Willingness to pay; Framing effect; Consumption (sociology); Sustainability; Consumer behaviour; Sustainable consumption; China; Agriculture","score_opus":0.020344759577783995,"score_gpt":0.24285391658946628,"score_spread":0.22250915701168228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888825469","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99685353,0.000052823256,0.00006777843,0.00020495888,0.0000073220526,0.000010918267,0.00006732406,0.0000025855593,0.0027326902],"genre_scores_gemma":[0.99874,0.000056653545,0.00013127961,0.0001006405,0.0000061866285,0.000015078126,0.000069065325,0.000003393897,0.0008777071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861693,0.0008634551,0.00005318332,0.00012215418,0.00020711917,0.0001371436],"domain_scores_gemma":[0.98240066,0.013270694,0.002527654,0.0005345129,0.00041967529,0.0008468337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027128393,0.00027085928,0.00016992327,0.00038029905,0.0003982742,0.0011932435,0.00029534008,0.0006802576,0.0075976853],"category_scores_gemma":[0.015927186,0.00017880907,0.00055048906,0.00028854894,0.0005068581,0.0005847466,0.00058399973,0.0011254391,0.00044610078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060029738,0.004759668,0.9281532,0.00014306803,0.00052667584,0.0002854227,0.007232359,0.00080495613,0.0018888754,0.001478416,0.0017861662,0.046938207],"study_design_scores_gemma":[0.000152198,0.0009573744,0.98866254,0.00007115094,0.0002281638,0.00005208404,0.0041567534,0.0027697235,0.00048648214,0.0008836037,0.0015474538,0.000032448646],"about_ca_topic_score_codex":0.018018305,"about_ca_topic_score_gemma":0.021018466,"teacher_disagreement_score":0.018018305,"about_ca_system_score_codex":0.00071383617,"about_ca_system_score_gemma":0.00055369805,"threshold_uncertainty_score":0.03582686},"labels":[],"label_agreement":null},{"id":"W6888828224","doi":"10.22004/ag.econ.289868","title":"Canadian Pork Industry Issues and Challenges","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.04721723799623558,"score_gpt":0.20644034445497314,"score_spread":0.15922310645873755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888828224","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04702862,0.05123499,0.00052470516,0.68943584,0.0017889569,0.000055294367,0.0063021607,0.000111998605,0.20351742],"genre_scores_gemma":[0.5930516,0.09735538,0.0040540607,0.10055661,0.001532274,0.00009080825,0.0045345644,0.000116553965,0.19870813],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9959401,0.00028850266,0.0000967605,0.00030934997,0.0018373512,0.0015279702],"domain_scores_gemma":[0.9907831,0.0009968824,0.00032085142,0.000104460465,0.005824838,0.0019697666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037603106,0.0004768069,0.00049139647,0.0039265514,0.008431662,0.008982062,0.002864085,0.0043485817,0.027255232],"category_scores_gemma":[0.006567814,0.00039872358,0.0006415078,0.008953651,0.0026829536,0.0027588962,0.0015604753,0.0033629586,0.0012950753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025566,0.0001947327,0.018704847,0.00096046604,0.00008404232,0.0006875777,0.0021779162,0.0018160711,0.00071055756,0.19549519,0.6363348,0.1425782],"study_design_scores_gemma":[0.00003849183,0.000029728162,0.049076244,0.00062327576,0.000052939802,0.00015707011,0.013479766,0.0013172482,0.00033185183,0.012657763,0.9221313,0.00010427741],"about_ca_topic_score_codex":0.99518126,"about_ca_topic_score_gemma":0.99751127,"teacher_disagreement_score":0.107070476,"about_ca_system_score_codex":0.107070476,"about_ca_system_score_gemma":0.24107903,"threshold_uncertainty_score":0.7768543},"labels":[],"label_agreement":null},{"id":"W6907234814","doi":"10.22004/ag.econ.290777","title":"Can sliding scale pricing tip the balance towards healthy, accessible, and fresh groceries for all? Evidence from Guelph, Ontario.","year":2019,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Balance (ability); Scale (ratio); Context (archaeology); Control (management)","score_opus":0.05117677354452155,"score_gpt":0.2304641028432005,"score_spread":0.17928732929867897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907234814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8398527,0.00914859,0.00075522094,0.022618325,0.00014841415,0.00015252647,0.0032053057,0.000045940487,0.124073185],"genre_scores_gemma":[0.986424,0.003148026,0.00024858883,0.000827381,0.000040227133,0.000012703718,0.00058151264,0.000013545807,0.008704114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914026,0.00016455214,0.000034821485,0.00009213019,0.00037060087,0.00019753451],"domain_scores_gemma":[0.9925689,0.003196572,0.0012522009,0.0005144306,0.0015327639,0.0009350639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014291471,0.0001857829,0.00039374203,0.00047888324,0.001302292,0.0022417381,0.0010807357,0.0006962781,0.020763395],"category_scores_gemma":[0.012339714,0.00022456193,0.00035669867,0.0016289729,0.0017817987,0.0012606112,0.000721459,0.00095440337,0.0012430145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007933553,0.0016012826,0.59419405,0.0011947304,0.0006122806,0.0008481524,0.0076794997,0.0017281066,0.0014610138,0.052339662,0.05541897,0.27498868],"study_design_scores_gemma":[0.0007877487,0.00035347012,0.9251121,0.00046368173,0.00041339785,0.00009638026,0.008108543,0.0012493054,0.00033571207,0.0073412703,0.055681933,0.000056328878],"about_ca_topic_score_codex":0.8636223,"about_ca_topic_score_gemma":0.9206246,"teacher_disagreement_score":0.13637769,"about_ca_system_score_codex":0.0074924403,"about_ca_system_score_gemma":0.0076973555,"threshold_uncertainty_score":0.27436167},"labels":[],"label_agreement":null},{"id":"W6907300863","doi":"10.22004/ag.econ.273698","title":"Bait Contracts","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Statistic; Distribution (mathematics); Probability distribution; Complete information; SIGNAL (programming language)","score_opus":0.10163008154754476,"score_gpt":0.34465484008428865,"score_spread":0.24302475853674388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907300863","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043579873,0.007070631,0.26251262,0.013797598,0.00045456208,0.00021744687,0.0006751996,0.00021199262,0.67148006],"genre_scores_gemma":[0.8690485,0.004700092,0.035155337,0.0025768448,0.0007845991,0.00043865337,0.00024305425,0.0000738323,0.08697913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99599755,0.0015959379,0.00019399886,0.00059979263,0.0012149885,0.00039770384],"domain_scores_gemma":[0.9920563,0.004977157,0.0010092224,0.00088224735,0.0006115545,0.00046350146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004977079,0.000601134,0.001198509,0.00091400306,0.001498764,0.003350661,0.001066885,0.0029861575,0.01870117],"category_scores_gemma":[0.014625921,0.00041048485,0.0006312624,0.0010701774,0.00448759,0.0056741843,0.0018931968,0.002656481,0.0017246207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007709823,0.0000071958025,0.00008083868,0.000023518938,0.000004779443,0.0000261366,0.000037818045,0.0006386258,0.0000828779,0.9940002,0.0011388069,0.0039513917],"study_design_scores_gemma":[0.000026731674,0.00003432526,0.00019232162,0.000043525266,0.000006524953,0.00010509922,0.00003711743,0.0048113824,0.00012145164,0.9789266,0.015687287,0.000007593971],"about_ca_topic_score_codex":0.00087448064,"about_ca_topic_score_gemma":0.0009971918,"teacher_disagreement_score":0.01870117,"about_ca_system_score_codex":0.0026296324,"about_ca_system_score_gemma":0.0021290884,"threshold_uncertainty_score":0.06256163},"labels":[],"label_agreement":null},{"id":"W6907357745","doi":"10.22004/ag.econ.305858","title":"Transportation of Dangerous Commodities: The Mississauga Story","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Derailment; Work (physics); Closure (psychology); Accident (philosophy)","score_opus":0.05162231952940187,"score_gpt":0.2505316644231756,"score_spread":0.1989093448937737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907357745","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045014158,0.018362017,0.0010014492,0.66265535,0.0020297787,0.000011504178,0.0004762453,0.00004602826,0.27040341],"genre_scores_gemma":[0.7194952,0.03464511,0.00086151256,0.07048678,0.0039935578,0.00003170221,0.00035640167,0.000117680436,0.17001204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99952006,0.00013550019,0.0000110383135,0.000052143318,0.00013337312,0.00014788817],"domain_scores_gemma":[0.9990638,0.0002801291,0.00012510955,0.00006467218,0.00031765256,0.00014872891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075398915,0.0003309377,0.00024576797,0.0007278593,0.0048379125,0.0053745178,0.0006685558,0.0045964983,0.009837251],"category_scores_gemma":[0.0028330926,0.00020813418,0.00042881627,0.0010858186,0.00359087,0.005261359,0.0015839022,0.005175812,0.0011785704],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013874899,0.000064858534,0.00471134,0.00016913873,0.00004836098,0.0010763414,0.005574464,0.0009905532,0.00042209384,0.4839047,0.4609854,0.041913934],"study_design_scores_gemma":[0.000008079056,0.000027045366,0.003929447,0.00018983378,0.000015975678,0.00019840637,0.008639167,0.0003506619,0.00015107758,0.024726488,0.96173835,0.000025371055],"about_ca_topic_score_codex":0.36973202,"about_ca_topic_score_gemma":0.40585825,"teacher_disagreement_score":0.630268,"about_ca_system_score_codex":0.0074816183,"about_ca_system_score_gemma":0.003956779,"threshold_uncertainty_score":0.7351599},"labels":[],"label_agreement":null},{"id":"W6907363809","doi":"10.22004/ag.econ.253842","title":"DETERMINANTS OF CHOICE OF ECOLOGICAL FOOD ACCORDING TO CONSUMERS FROM THE PODKARPACKIE VOIVODESHIP","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Quarter (Canadian coin); Preference; Food products; Organic product; Food security; Consumer behaviour","score_opus":0.04415455705662666,"score_gpt":0.22991031377746876,"score_spread":0.1857557567208421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907363809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993351,0.000032627464,0.000016123387,0.000047951355,0.000002290943,0.000002794678,0.000015915299,2.5502865e-7,0.0005469236],"genre_scores_gemma":[0.9996277,0.000042853528,0.000025148434,0.00002200563,0.0000023102834,0.000001994352,0.000024541236,4.2008392e-7,0.00025300044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997187,0.00009676454,0.000017581442,0.000031696705,0.00005790713,0.0000771954],"domain_scores_gemma":[0.99904364,0.00026478266,0.00031731222,0.00002129869,0.00010180135,0.00025111184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039179242,0.00009121427,0.0001200428,0.00031550185,0.00033723883,0.00074045657,0.00013545348,0.0003115076,0.002569648],"category_scores_gemma":[0.0014481153,0.00009248954,0.00019905611,0.00028605497,0.00033172616,0.0002400292,0.00035139988,0.0004773583,0.00020105994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013952579,0.00013395138,0.98986185,0.000023631224,0.000024960878,0.00023235066,0.0043842047,0.00003955557,0.00079617946,0.00009750023,0.00015838169,0.0041079973],"study_design_scores_gemma":[0.0000043258606,0.00009842394,0.9841748,0.00001403703,0.000009119648,0.00012740357,0.014817792,0.000109025495,0.00006605419,0.00003656978,0.0005372294,0.000005216123],"about_ca_topic_score_codex":0.0092519885,"about_ca_topic_score_gemma":0.013429127,"teacher_disagreement_score":0.0092519885,"about_ca_system_score_codex":0.00021147766,"about_ca_system_score_gemma":0.00017956785,"threshold_uncertainty_score":0.018396258},"labels":[],"label_agreement":null},{"id":"W6907383521","doi":"10.22004/ag.econ.345853","title":"PO - BUILDING A NATIONAL FARM MANAGEMENT STRATEGY FOR CANADA","year":2017,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Production (economics); Work (physics); Government (linguistics)","score_opus":0.050759553064674875,"score_gpt":0.2828679706464104,"score_spread":0.2321084175817355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907383521","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010157244,0.0016895129,0.0021177887,0.024507698,0.0010080724,0.00050886674,0.014057795,0.0013984585,0.94455445],"genre_scores_gemma":[0.018946273,0.0008107714,0.002220716,0.0033682997,0.00004070552,0.00006233455,0.0032407267,0.00024383843,0.97106636],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854845,0.00003642986,0.000020510139,0.000057336878,0.0007839732,0.00055330055],"domain_scores_gemma":[0.99702674,0.00007045101,0.000034164837,0.000057541576,0.0019203909,0.0008908411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009769003,0.000546806,0.00033929176,0.0018243768,0.006928821,0.005329265,0.0014812413,0.0027370788,0.10765445],"category_scores_gemma":[0.0022682585,0.00037878627,0.0005456273,0.0016722669,0.000727394,0.0012666398,0.0018502965,0.0020685447,0.01594591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028614271,0.00007972269,0.0024394456,0.000069893395,0.0000072674047,0.0001309273,0.00021322958,0.00028068194,0.0004389727,0.02162907,0.930417,0.044265315],"study_design_scores_gemma":[0.000010375895,0.000010954259,0.0053967806,0.00007664474,0.0000062090676,0.000024836461,0.0007185298,0.0004401885,0.00025938128,0.0011483589,0.99189186,0.000015759651],"about_ca_topic_score_codex":0.98785084,"about_ca_topic_score_gemma":0.9961849,"teacher_disagreement_score":0.10765445,"about_ca_system_score_codex":0.04522255,"about_ca_system_score_gemma":0.2544274,"threshold_uncertainty_score":0.36014003},"labels":[],"label_agreement":null},{"id":"W6907420376","doi":"10.22004/ag.econ.339009","title":"2021-2022 Strategic Issues Survey with Producers (Wave VII) Quantitative Survey Results Final Report","year":2022,"lang":"en","type":"report","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Strategic planning; Survey research; Affect (linguistics); Survey data collection; Survey methodology","score_opus":0.29839925515723426,"score_gpt":0.3578557818406171,"score_spread":0.05945652668338286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907420376","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020950131,0.00011368238,0.0014166262,0.003235878,0.0002769281,0.0029371951,0.8946962,0.0003517844,0.0760217],"genre_scores_gemma":[0.035096698,0.00029339455,0.0046805446,0.0021079553,0.000086797016,0.01101437,0.79476213,0.00015984311,0.15179823],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9967525,0.0005321881,0.0001739274,0.00018602224,0.0017625943,0.0005927141],"domain_scores_gemma":[0.9857545,0.001724958,0.0007398511,0.00044456776,0.0100314915,0.0013047004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058777216,0.00058944104,0.0003000271,0.0024827714,0.0010868195,0.001615006,0.0010143872,0.0009158262,0.037429966],"category_scores_gemma":[0.011599243,0.0004957226,0.00030621944,0.003123779,0.00018844979,0.0009273037,0.0010134199,0.0009211164,0.03223853],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011623477,0.00022742825,0.031534083,0.00015162445,0.000010246376,0.000053641772,0.0004782934,0.00023740855,0.00027548755,0.00087397016,0.948158,0.017883662],"study_design_scores_gemma":[0.00011085542,0.00017783724,0.40176547,0.00027303078,0.000017221008,0.00006700408,0.004738037,0.0006523001,0.0013645336,0.00049224484,0.59029716,0.000044336524],"about_ca_topic_score_codex":0.26163897,"about_ca_topic_score_gemma":0.27335265,"teacher_disagreement_score":0.26163897,"about_ca_system_score_codex":0.0035272192,"about_ca_system_score_gemma":0.011340069,"threshold_uncertainty_score":0.5202321},"labels":[],"label_agreement":null},{"id":"W6907456976","doi":"10.22004/ag.econ.289943","title":"Food Regulatory Systems: Canada's performance in the global marketplace","year":2009,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Food supply; Government (linguistics); Food processing; Legislation","score_opus":0.01636863490716025,"score_gpt":0.16688666119296983,"score_spread":0.15051802628580957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907456976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45616585,0.011432898,0.00079663616,0.18190546,0.00072656816,0.00012837385,0.009371101,0.00033440004,0.33913872],"genre_scores_gemma":[0.9566087,0.0025133034,0.00044130615,0.004543431,0.00007196125,0.000016313534,0.001287565,0.000069600654,0.034447767],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9964619,0.00028969016,0.00006426,0.0002653878,0.0015357125,0.0013830069],"domain_scores_gemma":[0.98617494,0.0011727678,0.00076552876,0.0002590238,0.008230328,0.003397376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028527905,0.00031310917,0.00028502214,0.0024802561,0.0068963165,0.009909674,0.0013155199,0.0023129883,0.013111673],"category_scores_gemma":[0.012008436,0.000229936,0.0004289923,0.006896241,0.0032181311,0.0019136938,0.00176023,0.0016775476,0.00066476845],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077710283,0.00021856176,0.18709752,0.00046079684,0.00016423364,0.0005699795,0.008654014,0.0070203524,0.0010979851,0.24870138,0.35654062,0.1886975],"study_design_scores_gemma":[0.00012293454,0.00012218741,0.4368511,0.00041248798,0.0001409196,0.00012009409,0.017087938,0.004495359,0.0011170672,0.009937759,0.529407,0.00018520124],"about_ca_topic_score_codex":0.99593,"about_ca_topic_score_gemma":0.99805486,"teacher_disagreement_score":0.13859354,"about_ca_system_score_codex":0.13859354,"about_ca_system_score_gemma":0.23383057,"threshold_uncertainty_score":0.9991094},"labels":[],"label_agreement":null},{"id":"W6907474718","doi":"10.22004/ag.econ.274750","title":"Farmland Values and Credit Conditions","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Land Values; Agriculture; Agricultural land; Value (mathematics)","score_opus":0.036758964710581814,"score_gpt":0.24062714344937708,"score_spread":0.20386817873879526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907474718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94525087,0.0002518876,0.00020144568,0.0013564512,0.000035975936,0.000040914703,0.007977081,0.000021246762,0.044864114],"genre_scores_gemma":[0.9916083,0.00012111676,0.00007821594,0.000117389725,0.000017294686,0.000022420165,0.0028839752,0.0000039377724,0.005147333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994623,0.00011180418,0.00004411274,0.00006128052,0.00015978962,0.0001607714],"domain_scores_gemma":[0.99658054,0.00034811284,0.0015426369,0.0000944276,0.00049699174,0.00093732215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005100554,0.00009072546,0.0001163164,0.00068815146,0.00065946375,0.0013425504,0.00023600414,0.0003655494,0.012709621],"category_scores_gemma":[0.003607425,0.00008874695,0.000096992124,0.0012680177,0.00042364906,0.00081664976,0.0006363088,0.00058364886,0.0011513474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072992116,0.00010298577,0.977216,0.000023757102,0.000020737742,0.00009268696,0.00042809139,0.0005710744,0.00012393994,0.0020354353,0.009363843,0.009948347],"study_design_scores_gemma":[0.0000041773983,0.00003769528,0.98973095,0.00001844892,0.000002665322,0.00004829399,0.0011587291,0.00024145613,0.00006157357,0.00038776398,0.0083010765,0.0000071660033],"about_ca_topic_score_codex":0.030041091,"about_ca_topic_score_gemma":0.07958563,"teacher_disagreement_score":0.030041091,"about_ca_system_score_codex":0.0012753245,"about_ca_system_score_gemma":0.0006741558,"threshold_uncertainty_score":0.059732497},"labels":[],"label_agreement":null},{"id":"W6907483271","doi":"10.22004/ag.econ.60403","title":"ALBERTA AND THE EU-27: PAST TRADE RELATIONS AND FUTURE OPPORTUNITIES","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Negotiation; General partnership; Government (linguistics); State (computer science); Trade agreement; Trade barrier; World trade; Goods and services","score_opus":0.028293280236129866,"score_gpt":0.23836552156827923,"score_spread":0.21007224133214936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907483271","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30669892,0.083684444,0.001206371,0.0963259,0.00041763033,0.000022717886,0.00058783015,0.000067947956,0.5109883],"genre_scores_gemma":[0.89724153,0.03354143,0.0013427755,0.0059425477,0.00008636853,0.0000066741027,0.00035232294,0.000026940046,0.061459497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881566,0.00016540446,0.000024706529,0.00010036011,0.00037123024,0.00052266655],"domain_scores_gemma":[0.99919766,0.0001432251,0.00007486541,0.00003330088,0.0002632083,0.00028767352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536196,0.00016128876,0.00019899689,0.0012309093,0.006216335,0.006961386,0.00088670006,0.0010722552,0.0051491577],"category_scores_gemma":[0.0012020493,0.000125082,0.0001710376,0.004042604,0.004993485,0.0015043948,0.0014069155,0.0013670479,0.00021136881],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015637165,0.000057029276,0.030959044,0.00039318876,0.000054122393,0.0014030158,0.014229444,0.0021704568,0.0010008644,0.7298095,0.040857982,0.1789088],"study_design_scores_gemma":[0.000010853751,0.00002883905,0.07246056,0.000583927,0.00002739417,0.00029041283,0.02968034,0.00048305833,0.00046083724,0.03126341,0.86465406,0.0000562773],"about_ca_topic_score_codex":0.9355814,"about_ca_topic_score_gemma":0.97095925,"teacher_disagreement_score":0.064418614,"about_ca_system_score_codex":0.04478285,"about_ca_system_score_gemma":0.04781724,"threshold_uncertainty_score":0.3249238},"labels":[],"label_agreement":null},{"id":"W6907486069","doi":"10.22004/ag.econ.289855","title":"Horticulture Value Chain Roundtable Benchmarking Study for Canadian Apples","year":2012,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Value (mathematics); Chain (unit); Value chain; Supply chain; Agriculture","score_opus":0.0432610102657633,"score_gpt":0.21374476016291455,"score_spread":0.17048374989715126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907486069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97952247,0.00014992115,0.00041980072,0.00015256857,0.000009720214,0.00008520356,0.0022215974,0.00004261196,0.017396143],"genre_scores_gemma":[0.9930352,0.000061433435,0.0004946344,0.000025597888,0.0000023365194,0.000014776935,0.0017679033,0.000013194596,0.0045848885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986545,0.00013178252,0.000041184354,0.00019195229,0.0005625695,0.0004178812],"domain_scores_gemma":[0.99236065,0.000619575,0.000409484,0.0004006569,0.0053788377,0.0008309471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015632862,0.00023379273,0.00034272266,0.0026602687,0.003096105,0.0018324719,0.0010592095,0.0004520195,0.004374988],"category_scores_gemma":[0.0049014436,0.00014801676,0.0003685624,0.0050820378,0.00049061363,0.0009569283,0.0006967836,0.00046457603,0.00039027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025022726,0.0019411475,0.7029346,0.0002816813,0.00021236036,0.00089618715,0.011582669,0.027065886,0.0059081237,0.023354903,0.036147684,0.1871725],"study_design_scores_gemma":[0.000047161993,0.00039172062,0.93946373,0.000073449824,0.00008050845,0.000068372334,0.016174868,0.02090333,0.0019197542,0.0006630095,0.020149143,0.000064795575],"about_ca_topic_score_codex":0.9660629,"about_ca_topic_score_gemma":0.9868795,"teacher_disagreement_score":0.037069663,"about_ca_system_score_codex":0.037069663,"about_ca_system_score_gemma":0.01601621,"threshold_uncertainty_score":0.26896048},"labels":[],"label_agreement":null},{"id":"W6907498480","doi":"10.22004/ag.econ.56811","title":"Imperfeição comercial e diferenciação, por origem, no mercado internacional de cafés","year":2004,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); International market; Terms of trade; World trade; Consumption (sociology); World market; Border effect; Developing country; Economic impact analysis","score_opus":0.027246397777161785,"score_gpt":0.24981558672619913,"score_spread":0.22256918894903735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907498480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8840093,0.0017799571,0.041090257,0.0022128108,0.00011770832,0.00006228613,0.00093242596,0.00020211062,0.069593154],"genre_scores_gemma":[0.9816222,0.00066878047,0.006830463,0.000071879214,0.000031838645,0.000036299414,0.00024539555,0.000057751615,0.010435331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991093,0.00031160333,0.00003472401,0.00015711089,0.00018255172,0.0002046152],"domain_scores_gemma":[0.99671173,0.001572201,0.00081328093,0.0002553787,0.00028304665,0.0003643782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010575252,0.0003743983,0.0005146408,0.0010092335,0.0008140109,0.0022634151,0.0007498054,0.0008541372,0.009242544],"category_scores_gemma":[0.0058971904,0.00027373628,0.00066980545,0.001136359,0.0013167283,0.0024548548,0.0011283627,0.00056141586,0.0008282275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001552694,0.00067064737,0.4539778,0.0006422148,0.00029185473,0.0071887486,0.008482659,0.094659425,0.006143906,0.28071058,0.007894723,0.13778472],"study_design_scores_gemma":[0.0003269007,0.0014773349,0.2890893,0.00061527506,0.0005481672,0.013413948,0.024452263,0.30065405,0.0064768456,0.16716218,0.19541651,0.00036723164],"about_ca_topic_score_codex":0.008599963,"about_ca_topic_score_gemma":0.014551769,"teacher_disagreement_score":0.009242544,"about_ca_system_score_codex":0.0015153707,"about_ca_system_score_gemma":0.0010179742,"threshold_uncertainty_score":0.030919373},"labels":[],"label_agreement":null},{"id":"W6907499346","doi":"10.22004/ag.econ.355369","title":"Bankers' Forecasts of Farmland Values: A Qualitative and Quantitative Evaluation","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Land Values; Qualitative analysis; Quarter (Canadian coin); Agriculture; Survey data collection; Qualitative property; Agricultural land","score_opus":0.12509803435487596,"score_gpt":0.3344004121441085,"score_spread":0.20930237778923252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907499346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685912,0.00017698406,0.0050990027,0.0010427007,0.000027894195,0.00060762576,0.002712643,0.000030368456,0.021711495],"genre_scores_gemma":[0.99438477,0.00015016935,0.002874233,0.00010940265,0.000012201401,0.00046257093,0.0006605823,0.000008618785,0.0013374247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97712165,0.012569782,0.0014829162,0.0006647956,0.0075889975,0.00057175435],"domain_scores_gemma":[0.83732015,0.11863312,0.010930391,0.002952119,0.029038504,0.0011257813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038057134,0.0002876532,0.00038974392,0.0040871324,0.00088722777,0.002268086,0.0005566489,0.0006665584,0.0036496504],"category_scores_gemma":[0.11919676,0.00021920344,0.00031546637,0.0029253785,0.001963434,0.0029918486,0.0016262789,0.0007652544,0.00045372368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016824893,0.00087946834,0.608506,0.0011374205,0.0001945127,0.0005234367,0.19686534,0.014032651,0.002184469,0.013792964,0.011942646,0.14825857],"study_design_scores_gemma":[0.00022657846,0.002029761,0.4947214,0.001408914,0.00018411443,0.00024064652,0.4201453,0.029249739,0.005763984,0.012760075,0.032958094,0.00031134373],"about_ca_topic_score_codex":0.008978578,"about_ca_topic_score_gemma":0.010266703,"teacher_disagreement_score":0.038057134,"about_ca_system_score_codex":0.00412287,"about_ca_system_score_gemma":0.0024794387,"threshold_uncertainty_score":0.20126778},"labels":[],"label_agreement":null},{"id":"W6907510162","doi":"10.22004/ag.econ.104649","title":"ON TESTS FOR LONG-TERM DEPENDENCE: INDIA’S INTERNATIONAL TOURISM MARKET","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Hyporeflexia; Diafiltration; Dysgeusia; Fusible alloy; Emperipolesis; Liquation","score_opus":0.08003857100072001,"score_gpt":0.25252877508588095,"score_spread":0.17249020408516094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907510162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884679,0.00019524923,0.004101864,0.00038645416,0.00003810795,0.00003550338,0.0006283494,0.000045756762,0.0061008846],"genre_scores_gemma":[0.9976406,0.000059580692,0.0007077795,0.000054191132,0.000025761574,0.000026550908,0.00087847724,0.000009165324,0.0005978631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997195,0.001308519,0.00025374952,0.00036199918,0.00060157763,0.0002790838],"domain_scores_gemma":[0.9644701,0.024945784,0.0056327013,0.0021334197,0.0014393253,0.0013787062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044149314,0.00043934866,0.00060013327,0.0023651302,0.00067082985,0.0014709501,0.0008879162,0.00075029355,0.005606367],"category_scores_gemma":[0.023050286,0.00013611134,0.001308124,0.0035971096,0.0008988964,0.00214052,0.0012092913,0.0013386403,0.0007337679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076647673,0.00045710703,0.9394309,0.00007503557,0.00085198646,0.0005232453,0.00062388653,0.00629821,0.001148111,0.007277641,0.0024828755,0.040064447],"study_design_scores_gemma":[0.00006850896,0.00093480136,0.9196708,0.000053888856,0.00030156565,0.00042089872,0.002031515,0.0670533,0.0012659867,0.00576463,0.0023759902,0.000058126054],"about_ca_topic_score_codex":0.008805255,"about_ca_topic_score_gemma":0.0049681673,"teacher_disagreement_score":0.008805255,"about_ca_system_score_codex":0.0004352954,"about_ca_system_score_gemma":0.0011106092,"threshold_uncertainty_score":0.02334869},"labels":[],"label_agreement":null},{"id":"W6907510685","doi":"10.22004/ag.econ.290367","title":"FARE Share Spring 2018 Newsletter","year":2018,"lang":"it","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Production (economics); Hydrology (agriculture); Work (physics)","score_opus":0.023130963663806785,"score_gpt":0.19865622058841612,"score_spread":0.17552525692460932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907510685","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011162527,0.0064307894,0.0015141547,0.06385257,0.15654735,0.00029616803,0.0037712243,0.003840888,0.7626305],"genre_scores_gemma":[0.001978346,0.0014067573,0.00025456544,0.005993484,0.017196514,0.00008606546,0.001303796,0.0007747724,0.97100574],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986675,0.00014447079,0.000051231236,0.0001857823,0.0007321336,0.000218961],"domain_scores_gemma":[0.99506384,0.00074069976,0.0002702388,0.0004051275,0.0020649002,0.0014552086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002185619,0.0018420577,0.0012350079,0.0016792191,0.00307755,0.010038564,0.0014713262,0.0060072904,0.6043239],"category_scores_gemma":[0.0072610658,0.0005739059,0.00083161576,0.0012551042,0.0007471713,0.005068915,0.003462349,0.0045891516,0.4839822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001532935,0.000013369759,0.000026182955,0.000022350961,7.810184e-7,0.000018733219,0.0000067199544,0.000009569351,0.000039072696,0.0002795844,0.99256516,0.0070031285],"study_design_scores_gemma":[0.0000036610534,0.000009279897,0.00011360294,0.000018648905,4.786506e-7,0.00000963172,0.000025371897,0.000018064713,0.00002307163,0.00009448053,0.9996804,0.0000033294655],"about_ca_topic_score_codex":0.0022017488,"about_ca_topic_score_gemma":0.0062442673,"teacher_disagreement_score":0.6043239,"about_ca_system_score_codex":0.0013240473,"about_ca_system_score_gemma":0.0016526183,"threshold_uncertainty_score":0.56438386},"labels":[],"label_agreement":null},{"id":"W6907544970","doi":"10.22004/ag.econ.345724","title":"NPR - 2020: Planning For The Business Management Needs Of Canadian Farmers - When You Don’t Know What You Don’t Know","year":2013,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mandate; Government (linguistics); Agriculture; Business opportunity; Information management; Business operations; Business management; Skills management; Information technology","score_opus":0.028273860730035835,"score_gpt":0.23132153939861103,"score_spread":0.2030476786685752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907544970","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07895447,0.013563989,0.008722389,0.3725363,0.0044258055,0.0029483992,0.059128933,0.0023116178,0.45740807],"genre_scores_gemma":[0.3747017,0.025264837,0.07345223,0.07525654,0.0005961248,0.0020931188,0.054802053,0.00064866076,0.39318478],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99667525,0.00020369822,0.000049070673,0.00010783308,0.0013784614,0.001585685],"domain_scores_gemma":[0.99115354,0.0002765575,0.00014858526,0.000057726305,0.003935873,0.004427731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030345847,0.0008563236,0.00033501844,0.0015428271,0.0066224374,0.006022811,0.002396627,0.003542286,0.01824027],"category_scores_gemma":[0.004612741,0.00040899005,0.0007812191,0.0019353237,0.00097113044,0.00232926,0.003018136,0.002752254,0.0052755834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012818123,0.00016930963,0.010799661,0.0010494067,0.00003056172,0.0010888132,0.0030162102,0.0017032336,0.004704461,0.017080972,0.8633483,0.09688083],"study_design_scores_gemma":[0.000028923803,0.00007548913,0.024157971,0.00042729368,0.000024489815,0.00013090558,0.010520089,0.0020574355,0.0008343873,0.0025565755,0.9590978,0.00008875195],"about_ca_topic_score_codex":0.9773003,"about_ca_topic_score_gemma":0.9889503,"teacher_disagreement_score":0.0657834,"about_ca_system_score_codex":0.0657834,"about_ca_system_score_gemma":0.37065828,"threshold_uncertainty_score":0.4772942},"labels":[],"label_agreement":null},{"id":"W6907548900","doi":"10.22004/ag.econ.352560","title":"Densidad poblacional del tecolote llanero occidental (athene cunicularia hypugaea) en hermosillo, Sonora, Mexico","year":2025,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Habitat; Urbanization; Population density; Population; Predation; Distance sampling; Urban area","score_opus":0.011869596904029707,"score_gpt":0.23229276329788834,"score_spread":0.22042316639385864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907548900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889647,0.0009999129,0.00046689293,0.00009053913,0.000041998694,0.00005161392,0.0028893594,0.000053866377,0.0064412523],"genre_scores_gemma":[0.98960614,0.002661391,0.001526783,0.000051131487,0.00008325001,0.00012924238,0.0037111745,0.000012107682,0.0022187599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997758,0.000028092327,0.000019495432,0.00009213194,0.000046218287,0.000038201662],"domain_scores_gemma":[0.9993783,0.00015633895,0.00024353364,0.000037616435,0.0001250807,0.000059146343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061802357,0.0004827954,0.00035949238,0.001209611,0.00041528413,0.00072072295,0.00025754192,0.00020677864,0.0012873085],"category_scores_gemma":[0.0013053773,0.00020842749,0.0003468197,0.0009995798,0.00040562058,0.00027793183,0.0004560839,0.00029276178,0.00016255076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021446384,0.00007278555,0.9706358,0.00012977024,0.00015011893,0.00032344615,0.000873897,0.00043921982,0.0007616372,0.00028926306,0.0016598114,0.02444974],"study_design_scores_gemma":[0.000016243805,0.000030123836,0.994848,0.00005899373,0.00007190105,0.00018447368,0.00051309785,0.0004298427,0.000064235755,0.000027599828,0.0037474337,0.000008005923],"about_ca_topic_score_codex":0.29086065,"about_ca_topic_score_gemma":0.46529138,"teacher_disagreement_score":0.29086065,"about_ca_system_score_codex":0.0016014521,"about_ca_system_score_gemma":0.00047829,"threshold_uncertainty_score":0.5783353},"labels":[],"label_agreement":null},{"id":"W6907550825","doi":"10.22004/ag.econ.43478","title":"Third-Country Effects on the Market Shares of U.S. Wheat in Asian Countries","year":2004,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Currency; Market share; Competition (biology); Estimation; Panel data; Exchange rate; Variable (mathematics); Market competition; Imperfect competition","score_opus":0.013841537666641725,"score_gpt":0.17999737683602263,"score_spread":0.1661558391693809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907550825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411666,0.0002558244,0.0018587388,0.0003433292,0.000015876054,0.000013613065,0.0009423337,0.000043840617,0.0024096943],"genre_scores_gemma":[0.99687755,0.00028493124,0.00027123248,0.000045405413,0.000009823506,0.0000139506765,0.00066933595,0.000008765023,0.0018189336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965584,0.00013557819,0.000021094631,0.000058233818,0.00002890345,0.00010026814],"domain_scores_gemma":[0.99681467,0.0017598673,0.00079909555,0.00017206074,0.0001565315,0.0002978414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013312174,0.00053311704,0.0006606577,0.00049168017,0.00038047894,0.0018669527,0.00050700136,0.0006973147,0.005862064],"category_scores_gemma":[0.0023900066,0.00042529954,0.0015276981,0.0008503238,0.00064089574,0.00088336563,0.0011744619,0.0014678409,0.0005691962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010261363,0.00048203257,0.7383404,0.00012462921,0.00089134666,0.0014188413,0.00057144987,0.22216944,0.0034098905,0.01436433,0.0030716613,0.014129873],"study_design_scores_gemma":[0.00029759953,0.00097479235,0.45256048,0.00009711994,0.0011634111,0.00052153715,0.0016585485,0.5216644,0.0050098877,0.008422536,0.007475019,0.00015468802],"about_ca_topic_score_codex":0.039981473,"about_ca_topic_score_gemma":0.031677812,"teacher_disagreement_score":0.039981473,"about_ca_system_score_codex":0.0011515685,"about_ca_system_score_gemma":0.0009283278,"threshold_uncertainty_score":0.079497516},"labels":[],"label_agreement":null},{"id":"W6907551353","doi":"10.22004/ag.econ.345534","title":"CS - Growing Your Farm Profits 2008 Pilot Project: Developing A Farm Business Management Assessment, And Next Steps Action Plan","year":2009,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business plan; Action plan; Financial plan; Plan (archaeology); Business management; Process (computing); Action (physics); Succession planning; Value (mathematics); Sales and operations planning","score_opus":0.13602678823351477,"score_gpt":0.3230069060061688,"score_spread":0.18698011777265405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907551353","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5517422,0.00020378338,0.020859594,0.00858893,0.00020846043,0.025141288,0.011587112,0.0025600218,0.37910867],"genre_scores_gemma":[0.6303533,0.00037475757,0.10871444,0.00085773616,0.000023920991,0.007991923,0.010216704,0.00025732833,0.24121004],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988029,0.00033952034,0.00004366293,0.000061175764,0.0005764406,0.00017629268],"domain_scores_gemma":[0.99625266,0.00035524357,0.0001584325,0.0002325134,0.002052871,0.00094824535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004446963,0.00024331753,0.00012583977,0.00077620416,0.0019226475,0.0011998152,0.00076426764,0.000355191,0.012363227],"category_scores_gemma":[0.0036601976,0.0002234445,0.00012976873,0.0005270434,0.0007943405,0.0006485967,0.0011384706,0.00057871884,0.002294175],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000648334,0.0031116528,0.07255009,0.0003442104,0.00001667784,0.0011129244,0.020916337,0.0046040304,0.009994025,0.0070934417,0.35847542,0.5211327],"study_design_scores_gemma":[0.00055967754,0.002014698,0.25956416,0.00028950942,0.000029735234,0.00028789628,0.047286108,0.012132532,0.011456093,0.0023980504,0.6638428,0.00013878723],"about_ca_topic_score_codex":0.62058955,"about_ca_topic_score_gemma":0.8128003,"teacher_disagreement_score":0.62058955,"about_ca_system_score_codex":0.014100171,"about_ca_system_score_gemma":0.04294722,"threshold_uncertainty_score":0.76328975},"labels":[],"label_agreement":null},{"id":"W6907554961","doi":"10.22004/ag.econ.334685","title":"FARMLAND VALUES AND CREDIT CONDITIONS","year":2022,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Renting; Agriculture; Cash; Land Values","score_opus":0.025917212873649283,"score_gpt":0.255074359373303,"score_spread":0.22915714649965369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907554961","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968471,0.00018727838,0.0001278379,0.00040038253,0.00001871192,0.00003349596,0.004665132,0.000016382377,0.026079876],"genre_scores_gemma":[0.994793,0.00008417476,0.00006108406,0.00004043995,0.00001256509,0.000013900703,0.0019085228,0.0000022774354,0.0030840293],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995284,0.00007695478,0.00004182323,0.00006956476,0.000151402,0.00013183785],"domain_scores_gemma":[0.9963504,0.0004371823,0.0016851568,0.00011774993,0.0005114092,0.0008980494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004885931,0.00013037871,0.00012811748,0.0010720646,0.00054188067,0.0011217352,0.00025231493,0.0004018873,0.013711186],"category_scores_gemma":[0.0033649828,0.00009847336,0.00016011119,0.0016352462,0.00040433017,0.00072214444,0.00050227565,0.00045887547,0.0012940222],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004231948,0.00006472969,0.99132407,0.000012399722,0.00001621202,0.0000736898,0.00019479737,0.00031489637,0.0000772835,0.0002248633,0.0022868281,0.0053680437],"study_design_scores_gemma":[0.0000017905415,0.000027265252,0.99697554,0.000006248007,0.0000019960767,0.000047001664,0.00044139056,0.00016038728,0.00003244799,0.00008748127,0.002213905,0.0000044694752],"about_ca_topic_score_codex":0.01995018,"about_ca_topic_score_gemma":0.045068674,"teacher_disagreement_score":0.01995018,"about_ca_system_score_codex":0.00091750186,"about_ca_system_score_gemma":0.00033708292,"threshold_uncertainty_score":0.045868456},"labels":[],"label_agreement":null},{"id":"W6907574921","doi":"10.22004/ag.econ.306028","title":"Owner Operators in Canada: Who are these Guys?","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Operator (biology); Government (linguistics); Set (abstract data type); Work (physics); Product (mathematics); Term (time); Payment","score_opus":0.035104432324916675,"score_gpt":0.24033992929754444,"score_spread":0.20523549697262777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907574921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4528133,0.016946169,0.0004755724,0.4524128,0.0007148565,0.000074200936,0.00216564,0.00004902666,0.0743484],"genre_scores_gemma":[0.9304335,0.010225309,0.00033566894,0.021704363,0.00019577435,0.000020930429,0.0003375752,0.000028446248,0.036718383],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.997675,0.00016055524,0.00003268541,0.00011173853,0.0004992298,0.0015207322],"domain_scores_gemma":[0.9945268,0.0004600627,0.0004708825,0.000047183392,0.0016497554,0.0028452827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011380488,0.00021906555,0.0003393078,0.00093571475,0.007864207,0.004981147,0.0010972725,0.0027448393,0.013419427],"category_scores_gemma":[0.003748256,0.00026784162,0.00026673335,0.002780912,0.0035420407,0.0022527238,0.0015576947,0.0033752313,0.0004929648],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029051816,0.00033912502,0.30501723,0.00050884014,0.00008112106,0.0014105389,0.03539376,0.0010343114,0.0004999834,0.081312254,0.369627,0.20448533],"study_design_scores_gemma":[0.000058587233,0.000063612584,0.38721222,0.0012652979,0.00011251962,0.0003403451,0.30147266,0.001591832,0.00023798425,0.009704572,0.29776907,0.00017130887],"about_ca_topic_score_codex":0.99671656,"about_ca_topic_score_gemma":0.9990157,"teacher_disagreement_score":0.065706834,"about_ca_system_score_codex":0.065706834,"about_ca_system_score_gemma":0.16697966,"threshold_uncertainty_score":0.4767387},"labels":[],"label_agreement":null},{"id":"W6907580715","doi":"10.22004/ag.econ.349017","title":"Cross Hedging Winter Canola","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Canola; Futures contract; Hedge; Soybean meal; Price risk; Agribusiness","score_opus":0.05934535539578793,"score_gpt":0.24531540975891475,"score_spread":0.1859700543631268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907580715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914801,0.0003392703,0.0017872187,0.00006884075,0.000015308986,0.000011510711,0.00019614479,0.000044958637,0.0060565337],"genre_scores_gemma":[0.9973978,0.00008680536,0.00095330225,0.000017035298,0.000005404632,0.000002114612,0.00019888676,0.0000067000396,0.0013321883],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977857,0.000027675342,0.000011064633,0.00004712671,0.00010979255,0.000025819883],"domain_scores_gemma":[0.99962044,0.00011521897,0.00005418089,0.00004534895,0.00013261041,0.000032065407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085346116,0.00027147797,0.00023852511,0.0007075361,0.00021474436,0.0008936219,0.0002915729,0.00023331887,0.0019814463],"category_scores_gemma":[0.0015404365,0.00008869543,0.00022194354,0.00045846036,0.00011404949,0.00069784187,0.00050414033,0.00022260497,0.00019779154],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021723663,0.00070081756,0.34990692,0.00021032247,0.0006826117,0.00094188144,0.00037642327,0.21168707,0.04681693,0.011804009,0.005397334,0.36930338],"study_design_scores_gemma":[0.00010347972,0.0012700814,0.42914325,0.000049915598,0.00032438137,0.000531645,0.00064176513,0.51763237,0.030218279,0.008062468,0.011929273,0.00009316954],"about_ca_topic_score_codex":0.009312103,"about_ca_topic_score_gemma":0.01898836,"teacher_disagreement_score":0.009312103,"about_ca_system_score_codex":0.00072775525,"about_ca_system_score_gemma":0.0002792828,"threshold_uncertainty_score":0.018515766},"labels":[],"label_agreement":null},{"id":"W6907584073","doi":"10.22004/ag.econ.345095","title":"The Future of Dispute Resolution in International (Agricultural) Trade","year":2024,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dispute resolution; Enthusiasm; Free trade; Tariff; World trade; Trade barrier; Key (lock); Trade agreement","score_opus":0.014567441330664265,"score_gpt":0.23477082709533684,"score_spread":0.22020338576467258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907584073","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043701525,0.1304144,0.010684083,0.38579035,0.0036303368,0.000036709727,0.0000767929,0.000066095716,0.46493116],"genre_scores_gemma":[0.6061365,0.15078752,0.02211712,0.08084527,0.018616732,0.00044308728,0.0002370366,0.00016384343,0.12065283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9852083,0.009784664,0.0003830759,0.001121974,0.002329339,0.0011726926],"domain_scores_gemma":[0.97878176,0.015109055,0.0010455981,0.0019123212,0.0019357969,0.0012154718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023668833,0.00061826507,0.0009273783,0.0023272687,0.0087256925,0.020292273,0.0023445452,0.013275567,0.019139213],"category_scores_gemma":[0.017763868,0.00031998666,0.00086750725,0.0036436561,0.03268884,0.02596967,0.0052622,0.009652751,0.0028883766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071047293,0.000013650481,0.000055950644,0.000040651346,0.0000015464947,0.000019056246,0.0005005158,0.00016084392,0.000014340196,0.9757614,0.010015373,0.013409567],"study_design_scores_gemma":[0.000009607032,0.000008682575,0.0000976433,0.00020505761,0.0000018741247,0.000029965038,0.0011191678,0.00041678245,0.000031067797,0.7932163,0.20485468,0.000009245699],"about_ca_topic_score_codex":0.007651944,"about_ca_topic_score_gemma":0.0070975074,"teacher_disagreement_score":0.023668833,"about_ca_system_score_codex":0.013862248,"about_ca_system_score_gemma":0.01521317,"threshold_uncertainty_score":0.12517428},"labels":[],"label_agreement":null},{"id":"W6907585203","doi":"10.22004/ag.econ.273578","title":"Intrinsic Business Cycles with Pro-Cyclical R&amp;D","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business cycle; Investment (military); Production (economics); Work (physics); Empirical evidence; Key (lock); Consumption (sociology); Production model","score_opus":0.036889746303055214,"score_gpt":0.19932290619587376,"score_spread":0.16243315989281853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907585203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8800392,0.0038058534,0.06378543,0.0029783505,0.00009026801,0.00016660627,0.0014778055,0.00024589163,0.047410484],"genre_scores_gemma":[0.9907041,0.0012413809,0.0025613427,0.00014621882,0.000101361955,0.00006578987,0.000418374,0.000021178023,0.00474019],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910945,0.00015551822,0.00009098312,0.0002699646,0.00020571267,0.00016838011],"domain_scores_gemma":[0.97860616,0.0047484366,0.013707598,0.00131347,0.00085515593,0.0007693391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016947703,0.0004690489,0.00054182386,0.0013532399,0.000525977,0.0028927731,0.00068192265,0.001101193,0.006341367],"category_scores_gemma":[0.01901788,0.00043911836,0.00062642817,0.0026410636,0.0019168175,0.0019182127,0.001686587,0.0012160926,0.0006532662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027785957,0.00018788443,0.5198887,0.00052919064,0.0002549812,0.0011268773,0.00087165437,0.070328146,0.0032164091,0.2767062,0.004969766,0.12164239],"study_design_scores_gemma":[0.00006430825,0.0001911085,0.55246717,0.00016873276,0.00023773155,0.0021307264,0.0004750989,0.12793463,0.002437777,0.28741667,0.02637686,0.00009925231],"about_ca_topic_score_codex":0.0024719094,"about_ca_topic_score_gemma":0.002780842,"teacher_disagreement_score":0.006341367,"about_ca_system_score_codex":0.0014430019,"about_ca_system_score_gemma":0.0007586942,"threshold_uncertainty_score":0.021214008},"labels":[],"label_agreement":null},{"id":"W6907605551","doi":"10.22004/ag.econ.290763","title":"Property Rights, Institutional Change, and Economic Development: Evidence from the First Nations Land Management Act","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Demotion","score_opus":0.046578588099840494,"score_gpt":0.20077963948581168,"score_spread":0.15420105138597118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907605551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89959365,0.003661266,0.00049672235,0.018031305,0.00006326618,0.000064315944,0.0011935029,0.000012279525,0.07688376],"genre_scores_gemma":[0.995447,0.001272993,0.000069582245,0.0004924439,0.000027799699,0.000021296502,0.00030168766,0.0000028086529,0.0023644746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977093,0.0011171963,0.00009600293,0.00010255465,0.00044904338,0.0005260304],"domain_scores_gemma":[0.9594222,0.022853497,0.011960007,0.0014163937,0.0021687476,0.0021791637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00459242,0.00019088232,0.00032932786,0.0014221531,0.0011996197,0.0027505122,0.00062973215,0.0013031159,0.0071120285],"category_scores_gemma":[0.019738724,0.00015667311,0.00028291662,0.002962274,0.004489772,0.0024328746,0.0015409632,0.0020015198,0.00037933319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001290287,0.0025536956,0.7161375,0.00027675345,0.00036947904,0.00060002407,0.0040374803,0.007705909,0.00029764083,0.19107431,0.018759165,0.056897733],"study_design_scores_gemma":[0.00017933371,0.0002589622,0.92562324,0.00034664452,0.00015175027,0.0001101883,0.009921952,0.0026065335,0.00041718176,0.02864959,0.031685233,0.00004952198],"about_ca_topic_score_codex":0.051482745,"about_ca_topic_score_gemma":0.086738646,"teacher_disagreement_score":0.94851726,"about_ca_system_score_codex":0.0022018638,"about_ca_system_score_gemma":0.0033738425,"threshold_uncertainty_score":0.10236615},"labels":[],"label_agreement":null},{"id":"W6907634367","doi":"10.22004/ag.econ.301176","title":"Development of a Profitability Analysis Prototype with Multidimensional Benchmarks for Dairy Herds","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Benchmarking; Profit (economics); Herd; Visualization","score_opus":0.05237394654876779,"score_gpt":0.3024226129202391,"score_spread":0.2500486663714713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907634367","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025022784,0.00028574694,0.7632593,0.0005158199,0.000125728,0.0011445683,0.0057849167,0.1940805,0.009780609],"genre_scores_gemma":[0.14821906,0.0005205513,0.818917,0.0002755177,0.000065241125,0.0018682514,0.007706677,0.014610999,0.007816776],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987733,0.00024111313,0.0001449118,0.00021563192,0.0005033499,0.000121662764],"domain_scores_gemma":[0.9930392,0.00459517,0.00023204429,0.0006621514,0.00109582,0.00037570138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039823647,0.001726215,0.0012298034,0.0027076812,0.0005788697,0.0039809975,0.0038770407,0.0015145383,0.019926582],"category_scores_gemma":[0.011275697,0.0011997786,0.0016495293,0.0017222358,0.0004894931,0.0032364787,0.002428352,0.0016449279,0.0037926228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003230106,0.0014151989,0.017145665,0.0035417327,0.0004790705,0.0030982753,0.008372782,0.077053264,0.04889301,0.021145439,0.12650457,0.6891209],"study_design_scores_gemma":[0.0011200305,0.00093248877,0.0132666975,0.0012598747,0.00029362328,0.001906714,0.0012603872,0.69721836,0.051379412,0.02347443,0.20723045,0.00065750966],"about_ca_topic_score_codex":0.004874816,"about_ca_topic_score_gemma":0.0036372186,"teacher_disagreement_score":0.019926582,"about_ca_system_score_codex":0.0010299118,"about_ca_system_score_gemma":0.001175176,"threshold_uncertainty_score":0.06666106},"labels":[],"label_agreement":null},{"id":"W6907658454","doi":"10.22004/ag.econ.273508","title":"Artificial Regressions","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Nonlinear regression; Regression analysis; Linear regression; Regression; Proper linear model; Regression diagnostic; Polynomial regression; Regression dilution; Heteroscedasticity","score_opus":0.24075586565681437,"score_gpt":0.41309984217786416,"score_spread":0.1723439765210498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907658454","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030404758,0.00027299783,0.9926386,0.00032085262,0.00010298306,0.000034132136,0.00013264551,0.00025345662,0.0032039064],"genre_scores_gemma":[0.1895105,0.0011949489,0.79347324,0.00090438285,0.00058674027,0.0006999314,0.0011837183,0.00065702864,0.011789478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99035966,0.005367393,0.0005828617,0.0014096635,0.0020131583,0.00026725736],"domain_scores_gemma":[0.957053,0.028507452,0.0042402227,0.0057820943,0.004089805,0.0003273707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0106460545,0.001186484,0.0011681624,0.0013177746,0.00088325376,0.0026853178,0.0021493991,0.0021731982,0.008222628],"category_scores_gemma":[0.07530364,0.0007182727,0.001411621,0.002186377,0.0019719293,0.0045596813,0.0032507633,0.0033803084,0.0039205267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015605954,0.0000702262,0.00477333,0.00044713664,0.0001701382,0.00018604727,0.00017996467,0.11554316,0.004096428,0.72107047,0.00933672,0.1439704],"study_design_scores_gemma":[0.000038339575,0.00009208112,0.0015078378,0.00011676245,0.00006472356,0.00034122617,0.000055007124,0.71716017,0.0046472657,0.23966542,0.036233027,0.0000781384],"about_ca_topic_score_codex":0.0012662949,"about_ca_topic_score_gemma":0.0013471293,"teacher_disagreement_score":0.0106460545,"about_ca_system_score_codex":0.0010132944,"about_ca_system_score_gemma":0.0013718865,"threshold_uncertainty_score":0.05630243},"labels":[],"label_agreement":null},{"id":"W6907667939","doi":"10.22004/ag.econ.292346","title":"Versenyképesség a nemzetközi gabonakereskedelemben","year":2019,"lang":"hu","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"World trade; Fair trade; Terms of trade; World economy; Tourism; International market","score_opus":0.022397673836019382,"score_gpt":0.20570991900906335,"score_spread":0.18331224517304398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907667939","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.239754,0.029366184,0.0051604593,0.03870185,0.0034552636,0.00025468343,0.01726817,0.00063634355,0.6654031],"genre_scores_gemma":[0.52692664,0.02055605,0.0037490812,0.004424988,0.0005647641,0.0002799062,0.011713103,0.0005540328,0.43123144],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99838054,0.00019102865,0.000097977136,0.0002597105,0.00059871725,0.00047197472],"domain_scores_gemma":[0.9986721,0.00019327033,0.00019920697,0.0000976379,0.00046507953,0.00037271495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014451803,0.00057215104,0.00049178844,0.0015313734,0.0019507145,0.00615103,0.0007562325,0.0012721295,0.07396791],"category_scores_gemma":[0.0030406902,0.00031364366,0.0005153401,0.002291775,0.0014177266,0.0035636604,0.0042682444,0.002243837,0.014330899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012971194,0.00034895018,0.06353656,0.002968479,0.00020081566,0.0022866016,0.024666442,0.000909308,0.0063041053,0.1778338,0.28230524,0.43734264],"study_design_scores_gemma":[0.000019151967,0.000052495387,0.051576097,0.000567617,0.00004123555,0.00032997044,0.008280588,0.00009246985,0.00091853115,0.003857528,0.9342248,0.000039496717],"about_ca_topic_score_codex":0.03361134,"about_ca_topic_score_gemma":0.050179057,"teacher_disagreement_score":0.07396791,"about_ca_system_score_codex":0.004575082,"about_ca_system_score_gemma":0.007884532,"threshold_uncertainty_score":0.24744731},"labels":[],"label_agreement":null},{"id":"W6907674978","doi":"10.22004/ag.econ.24167","title":"The Xycoon Project","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Air Force Academy; Division of Mathematical Sciences; University of Texas at El Paso; Defence Science and Technology Laboratory; Faculty of Arts and Sciences; College of Engineering, Michigan State University; Federal Highway Administration; Institute of Food and Agricultural Sciences, University of Florida; Ministry of Agriculture, Forestry and Fisheries; Ulster University; Temple University; University of North Carolina at Greensboro; Carleton College; Florida Atlantic University; Wilkes University; University of Southern Maine; East Tennessee State University; Old Dominion University; University of Essex; Georgia State University; University of Oxford; University of East Anglia; University of South Florida; Pennsylvania State University; Dartmouth College; University of Notre Dame; Carnegie Mellon University; University of Washington; Michigan State University; Arizona State University; Youngstown State University; Universidad del Atlántico; Case Western Reserve University; Oklahoma State University; University of Minnesota; Jackson State University; Ames Research Center; Harvard University; Washington University in St. Louis; University of Pittsburgh; Syracuse University; University of Glasgow; York University; Northwestern University; Defence Science and Technology Group; Massachusetts Institute of Technology; University of Pennsylvania; Georgia Institute of Technology; University of Southampton; University of Southern California; National Aeronautics and Space Administration; Virginia Polytechnic Institute and State University; University of Illinois at Urbana-Champaign; Colorado State University; University of Oregon; Ministry of Environment; University of South Carolina; Research Institute, Georgia Institute of Technology; West Virginia University; Florida State University; Ministerio del Ambiente, Agua y Transición Ecológica; Ohio State University; Yale University","keywords":"Process (computing); Work (physics); Project planning; Project management; Focus (optics); Set (abstract data type)","score_opus":0.035096324243656836,"score_gpt":0.21928165361298224,"score_spread":0.1841853293693254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907674978","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012047586,0.0021769286,0.010076695,0.005688864,0.0016433172,0.00030880372,0.009109168,0.0024358795,0.95651275],"genre_scores_gemma":[0.04622012,0.0016008168,0.010237819,0.0009834747,0.00019587943,0.00027056583,0.016942723,0.0014929503,0.92205566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988243,0.00024481383,0.000025349347,0.0001545701,0.00047838234,0.00027246983],"domain_scores_gemma":[0.99817276,0.00013835158,0.00007038033,0.0003178815,0.00062271423,0.0006780314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023754193,0.0007217691,0.00030170396,0.001730728,0.0016181914,0.005080054,0.00077220367,0.00076863344,0.16333903],"category_scores_gemma":[0.0022451677,0.00021355764,0.00023361003,0.0015884844,0.0006189434,0.0017045286,0.0041001164,0.0007726862,0.047640067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021477227,0.00013895989,0.0030710816,0.00011375243,0.000007590698,0.000077412114,0.00054086384,0.00024956526,0.0011881242,0.107922316,0.5707262,0.31574938],"study_design_scores_gemma":[0.000009848302,0.000008391409,0.0009360241,0.00003432887,0.000001473766,0.000019812815,0.00016397565,0.00014227566,0.000273172,0.0027645454,0.99564373,0.000002375429],"about_ca_topic_score_codex":0.012344428,"about_ca_topic_score_gemma":0.018225063,"teacher_disagreement_score":0.16333903,"about_ca_system_score_codex":0.0020830343,"about_ca_system_score_gemma":0.0060030525,"threshold_uncertainty_score":0.5464235},"labels":[],"label_agreement":null},{"id":"W6907721115","doi":"10.22004/ag.econ.97709","title":"How to deal with the challenges of linking a large number of individual national models: the case of the AGMEMOD Partnership","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Catholique de Louvain; Queen's University; Universidade Nova de Lisboa; National and Kapodistrian University of Athens; Institut National de la Recherche Agronomique; Teagasc","keywords":"General partnership; Consistency (knowledge bases); Key (lock); State (computer science); Accession; European union; Member state","score_opus":0.10060967710837951,"score_gpt":0.2448292770752387,"score_spread":0.14421959996685918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907721115","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22062409,0.0011674541,0.51755005,0.09854579,0.00046800394,0.000524359,0.00032864787,0.00053717126,0.16025436],"genre_scores_gemma":[0.774294,0.0004233654,0.21694486,0.002016805,0.00008154451,0.00044193925,0.00016635936,0.00022934897,0.0054017915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98092455,0.014155795,0.0005874605,0.001429583,0.0017487918,0.0011537526],"domain_scores_gemma":[0.9754774,0.011823628,0.001475223,0.007549271,0.0025404724,0.001133984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032415505,0.0005032739,0.00093883986,0.0015481638,0.0066070436,0.013235901,0.0035042763,0.0066332817,0.005885821],"category_scores_gemma":[0.059855625,0.0010012677,0.0016263523,0.0026244272,0.0067314906,0.021569185,0.010769017,0.0063766693,0.00088782737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045889035,0.00008630929,0.0044157323,0.00006528576,0.00008736466,0.00084387365,0.0042888597,0.040122513,0.00022815325,0.91841966,0.0043266737,0.027069727],"study_design_scores_gemma":[0.00007089048,0.00006491864,0.00089187105,0.00023585738,0.000054391676,0.00046266525,0.0062557706,0.075768456,0.00055420643,0.86376584,0.05178952,0.0000856931],"about_ca_topic_score_codex":0.018029029,"about_ca_topic_score_gemma":0.014707116,"teacher_disagreement_score":0.032415505,"about_ca_system_score_codex":0.0042821327,"about_ca_system_score_gemma":0.0080471905,"threshold_uncertainty_score":0.17143166},"labels":[],"label_agreement":null},{"id":"W6907769342","doi":"10.22004/ag.econ.305950","title":"Government Intervention After Deregulation: Aspects of the U.S. Experience Relevant to Canada","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Intervention (counseling); Public policy; Economic interventionism; Context (archaeology); Quality (philosophy); Qualitative research; Work (physics)","score_opus":0.020594613144602345,"score_gpt":0.23947780778638506,"score_spread":0.2188831946417827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907769342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59079444,0.0069474736,0.00043870226,0.17131066,0.0004608315,0.00018276917,0.0009812868,0.000045199726,0.22883873],"genre_scores_gemma":[0.96462685,0.0030971451,0.00015424822,0.008462204,0.000058866823,0.000025627478,0.00020862182,0.00002283367,0.02334356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99101603,0.0008024959,0.00013450066,0.00028812452,0.0018333892,0.0059254193],"domain_scores_gemma":[0.9906881,0.0020423888,0.00050940755,0.00017143626,0.0038035358,0.0027851716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039423425,0.00028329933,0.00061609334,0.0011618359,0.020174151,0.009382258,0.0022069204,0.004516993,0.0071173804],"category_scores_gemma":[0.012781448,0.0002566859,0.0005513277,0.0041206465,0.0057167085,0.0020502224,0.002823959,0.0051963665,0.0003147673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00091593235,0.00092799374,0.1609788,0.00057170156,0.00020781059,0.0048270044,0.10599604,0.006877967,0.0016998728,0.3393318,0.23965023,0.13801496],"study_design_scores_gemma":[0.00019108315,0.00024624297,0.32399395,0.00056116015,0.0002285748,0.00034710346,0.2345551,0.002449917,0.0012668488,0.009937524,0.42597872,0.00024381508],"about_ca_topic_score_codex":0.9971015,"about_ca_topic_score_gemma":0.9989826,"teacher_disagreement_score":0.8064629,"about_ca_system_score_codex":0.1935371,"about_ca_system_score_gemma":0.29720417,"threshold_uncertainty_score":0.93538266},"labels":[],"label_agreement":null},{"id":"W6907791399","doi":"10.22004/ag.econ.360981","title":"The Economic Impact of Inland Flooding in the United States: A Disaggregated Analysis","year":2025,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic impact analysis; Flood myth; Welfare; Flooding (psychology); Wage; Quarter (Canadian coin); Flash flood; Economic welfare","score_opus":0.02100416835967163,"score_gpt":0.27848085804655515,"score_spread":0.25747668968688353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907791399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924752,0.00013265504,0.00012845431,0.00009609999,0.0000039364672,0.000006725968,0.0063527427,0.000009297322,0.00079488574],"genre_scores_gemma":[0.99011105,0.00020816301,0.0001592526,0.000047305533,0.000009882567,0.000013893934,0.008685134,0.00000376307,0.0007614856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998714,0.00003057186,0.000012505525,0.000025562047,0.000026909038,0.00003308129],"domain_scores_gemma":[0.99965084,0.000060416576,0.00014465733,0.000032273594,0.00005709744,0.000054732576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002245403,0.0001640853,0.00022830938,0.00086972537,0.00018699924,0.00047522198,0.0001950462,0.00017404046,0.001437422],"category_scores_gemma":[0.0006078653,0.000098004406,0.0002503545,0.001845453,0.00009545742,0.00021283115,0.00067928364,0.00025720842,0.00021152465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008061102,0.000062570245,0.9851055,0.00003399177,0.00016229873,0.00013518176,0.00023293537,0.0041909716,0.0003265649,0.00015788169,0.002297872,0.00721361],"study_design_scores_gemma":[0.0000020101247,0.000016474778,0.99707425,0.0000051037455,0.000016565604,0.000017463724,0.00029139122,0.001404931,0.000058224075,0.00005738413,0.0010533972,0.000002804581],"about_ca_topic_score_codex":0.07328657,"about_ca_topic_score_gemma":0.12947528,"teacher_disagreement_score":0.07328657,"about_ca_system_score_codex":0.00048524,"about_ca_system_score_gemma":0.00032829618,"threshold_uncertainty_score":0.14572},"labels":[],"label_agreement":null},{"id":"W6926054153","doi":"10.22004/ag.econ.310732","title":"Capacity Development in Planning, Monitoring, and Evaluation: Results of an Evaluation","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University","keywords":"Capacity development; Field (mathematics); Evaluation methods; Agricultural development; Conceptual framework; Capacity building","score_opus":0.12246427246202791,"score_gpt":0.30349171314690476,"score_spread":0.18102744068487686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926054153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89832747,0.0019812097,0.023382211,0.0036030908,0.00010507209,0.010539007,0.0016927366,0.00029903036,0.06007019],"genre_scores_gemma":[0.9839065,0.0005732136,0.011034593,0.00015323242,0.000016979206,0.0024897791,0.000381838,0.000031335778,0.0014125813],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.8893855,0.0905574,0.0024660176,0.001989985,0.011695836,0.0039052803],"domain_scores_gemma":[0.60363644,0.3279473,0.008996205,0.010266267,0.040278133,0.00887563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09750816,0.0012365633,0.0009616118,0.00346038,0.002032035,0.0030158525,0.0024172545,0.0015867007,0.005383375],"category_scores_gemma":[0.17021756,0.00064075657,0.0016067254,0.0031219816,0.0030350566,0.0052594724,0.0042895786,0.0015903079,0.00054444023],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017585367,0.021189125,0.15113708,0.0038958879,0.0011470378,0.00057682494,0.015866768,0.18551542,0.0012570367,0.02500282,0.015050011,0.56177676],"study_design_scores_gemma":[0.018410834,0.06938653,0.31997433,0.0073555415,0.0047158706,0.0010652507,0.07412855,0.32653958,0.029810011,0.044318814,0.10325961,0.0010350648],"about_ca_topic_score_codex":0.039368056,"about_ca_topic_score_gemma":0.024279445,"teacher_disagreement_score":0.09750816,"about_ca_system_score_codex":0.017378962,"about_ca_system_score_gemma":0.035220563,"threshold_uncertainty_score":0.51567864},"labels":[],"label_agreement":null},{"id":"W6926082537","doi":"10.22004/ag.econ.292149","title":"Program of Research on the Economics of Invasive Species Management Fiscal 2003-2006 Activities","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Cooperative State Research, Education, and Extension Service; Graduate School, University of Maryland; Sveriges Lantbruksuniversitet; University of Calgary; Strong; University of Wyoming; Michigan State University; Economic Research Service; College of Engineering, Michigan State University; U.S. Department of Agriculture","keywords":"Invasive species; Private sector; Public management; Public policy; Public sector","score_opus":0.04436488946706816,"score_gpt":0.2655680107593251,"score_spread":0.22120312129225697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926082537","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21089706,0.011563255,0.008326378,0.20790537,0.0074057323,0.0016624804,0.0933438,0.00081496785,0.45808104],"genre_scores_gemma":[0.45035833,0.011558888,0.011292521,0.007265114,0.0016252121,0.0007052093,0.03184082,0.00010923688,0.4852446],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99900085,0.00026009453,0.00003009165,0.00012133194,0.00039947603,0.00018820023],"domain_scores_gemma":[0.992025,0.0015163294,0.0007471861,0.00041454457,0.0032774713,0.0020196114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037849862,0.00052223355,0.00044576306,0.0019768595,0.0012036281,0.0016829089,0.0013889994,0.0008201809,0.019347943],"category_scores_gemma":[0.0055070776,0.00023597422,0.00045453597,0.0017102007,0.00035568367,0.0010186018,0.00094028114,0.0012144586,0.0020765953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015200874,0.0019528344,0.051956322,0.0004205604,0.00018981758,0.00019299718,0.00044044372,0.0031812713,0.0018009228,0.058251753,0.67958444,0.20050855],"study_design_scores_gemma":[0.00039632738,0.00045458533,0.1965795,0.0005480175,0.00015326052,0.00020199677,0.0012990446,0.008659204,0.0038381713,0.009121743,0.77870476,0.000043365544],"about_ca_topic_score_codex":0.12113169,"about_ca_topic_score_gemma":0.22269659,"teacher_disagreement_score":0.12113169,"about_ca_system_score_codex":0.011806582,"about_ca_system_score_gemma":0.027900575,"threshold_uncertainty_score":0.24085325},"labels":[],"label_agreement":null},{"id":"W6926088305","doi":"10.22004/ag.econ.345419","title":"PR - Historic Residual Returns To Farm Land, Labour And Management, Saskatchewan: 1926-2005","year":2007,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mathematical functions and polynomials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Point (geometry); Residual; Agriculture; Aggregate (composite); Gross margin","score_opus":0.03857082825451425,"score_gpt":0.2767554625280157,"score_spread":0.23818463427350145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926088305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42485455,0.0014692215,0.0018602444,0.0019393724,0.00012934495,0.00009825361,0.4185559,0.0004948164,0.15059823],"genre_scores_gemma":[0.60946983,0.001764492,0.0016949222,0.00024471965,0.000028762224,0.00006525598,0.14216241,0.000116259056,0.24445327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999767,0.000014241072,0.0000137892375,0.00003691029,0.0001104429,0.000057490015],"domain_scores_gemma":[0.99919754,0.00005614474,0.00011341431,0.00007004633,0.0004899568,0.00007302055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003608519,0.00026725544,0.00014104224,0.0014575779,0.00051059073,0.00092744286,0.0006884296,0.00019741303,0.016822997],"category_scores_gemma":[0.0010716644,0.00015693986,0.00014203502,0.0038988818,0.00032157908,0.00050038425,0.0005223535,0.0005639083,0.0043841656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039293882,0.00014169724,0.43422568,0.00046404146,0.00012626548,0.0005710725,0.0011681652,0.013467862,0.0017532182,0.019945078,0.31034225,0.21740176],"study_design_scores_gemma":[0.00001365235,0.000031125262,0.7753188,0.00006812538,0.000017331799,0.00014637291,0.0013701812,0.0027845139,0.0014327873,0.0012832526,0.21750353,0.00003041524],"about_ca_topic_score_codex":0.81380796,"about_ca_topic_score_gemma":0.9360573,"teacher_disagreement_score":0.18619204,"about_ca_system_score_codex":0.011093933,"about_ca_system_score_gemma":0.008356718,"threshold_uncertainty_score":0.3745771},"labels":[],"label_agreement":null},{"id":"W6926095288","doi":"10.22004/ag.econ.348559","title":"Calculating the cost of irrigation induced soil salinization in the tungabhadra project","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Shastri Indo-Canadian Institute","keywords":"Irrigation; Soil salinity; Production (economics); Soil retrogression and degradation; Soil water; Distribution (mathematics); Salinity; Hydrology (agriculture); Range (aeronautics); Profitability index","score_opus":0.04112926364822312,"score_gpt":0.27927669346745615,"score_spread":0.23814742981923304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926095288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933763,0.000038318372,0.002617114,0.000079192425,0.0000033374945,0.000034081455,0.00038398433,0.00002635797,0.0034412947],"genre_scores_gemma":[0.9967109,0.000042373576,0.0021278458,0.0000047166236,0.0000011254139,0.000022753822,0.00025968524,0.000013000692,0.000817652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996996,0.00008935689,0.000015594887,0.000031858322,0.000086419466,0.00007722029],"domain_scores_gemma":[0.99881893,0.0006424835,0.00014563793,0.00005742137,0.00023610548,0.00009934608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532595,0.0003061523,0.00029414275,0.0012077654,0.0005003864,0.0009880587,0.00062701566,0.0005508759,0.0024439064],"category_scores_gemma":[0.0028327804,0.0004298806,0.00046550448,0.0014340373,0.00046524586,0.0007768435,0.00067183113,0.0005891027,0.00018024941],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029716647,0.00008943324,0.052507345,0.000051359642,0.00005612148,0.00047267933,0.00005373766,0.9309722,0.0010423196,0.0039378228,0.0005752465,0.009944575],"study_design_scores_gemma":[0.00004952901,0.00023450993,0.054680225,0.000017359613,0.000050376097,0.0002592394,0.0003658165,0.93844116,0.0020245798,0.0029572616,0.0008857025,0.000034284265],"about_ca_topic_score_codex":0.042190537,"about_ca_topic_score_gemma":0.039914455,"teacher_disagreement_score":0.042190537,"about_ca_system_score_codex":0.003274724,"about_ca_system_score_gemma":0.0015341385,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W6926097173","doi":"10.22004/ag.econ.349220","title":"Farmer versus Breeder Rights: Sharing the Benefits from Crop Varietal Improvement","year":2025,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Treaty; Breeder (animal); Value (mathematics); Convention; Poverty; Crop","score_opus":0.02559419439878906,"score_gpt":0.23887275566695368,"score_spread":0.2132785612681646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926097173","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65680134,0.00081998785,0.10147584,0.0130137345,0.0000894205,0.00035324122,0.00055999804,0.00012532825,0.22676109],"genre_scores_gemma":[0.9940797,0.000108869375,0.0030226717,0.00027185757,0.000021009499,0.0000387094,0.000031587155,0.000009641508,0.0024159888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945193,0.0024241153,0.00016909887,0.00085345254,0.0011706285,0.00086343003],"domain_scores_gemma":[0.979871,0.012377723,0.0033982436,0.0025744108,0.0011030246,0.00067565445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008985285,0.00032360366,0.00051802717,0.0009955666,0.001557252,0.0047059306,0.0012734751,0.0017423765,0.012195545],"category_scores_gemma":[0.026611792,0.0001696356,0.0006558404,0.0013338088,0.005662378,0.007755313,0.0034185736,0.0022141796,0.0004379383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029430722,0.00020033789,0.04998172,0.00013128346,0.00008807183,0.00038910826,0.0028509174,0.009393688,0.0019970601,0.87121356,0.0018329751,0.061626874],"study_design_scores_gemma":[0.0001250218,0.00028860086,0.07694744,0.00019621254,0.00021051858,0.00034697592,0.0061707646,0.023687324,0.0035029845,0.8553324,0.0330726,0.00011915315],"about_ca_topic_score_codex":0.0094594145,"about_ca_topic_score_gemma":0.011398011,"teacher_disagreement_score":0.012195545,"about_ca_system_score_codex":0.0047394745,"about_ca_system_score_gemma":0.0030782016,"threshold_uncertainty_score":0.047519267},"labels":[],"label_agreement":null},{"id":"W6926099281","doi":"10.22004/ag.econ.356147","title":"Price volatility spillovers among major wheat markets in the world","year":2022,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Autoregressive conditional heteroskedasticity; Unit root; Rational expectations; Time series; Heteroscedasticity; Market price; Unit root test","score_opus":0.017243410300218705,"score_gpt":0.22837934141528715,"score_spread":0.21113593111506845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926099281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99664056,0.0004331079,0.0004245002,0.00008737217,0.000009151597,0.000005101059,0.00045945513,0.000006547978,0.0019341819],"genre_scores_gemma":[0.99893457,0.00030634075,0.00013376884,0.000015997191,0.000016242402,0.0000020266102,0.0003830359,0.0000011966184,0.00020689223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981374,0.00002894468,0.000017294687,0.00004200091,0.00005923089,0.00003880617],"domain_scores_gemma":[0.99925035,0.00014950964,0.00041463453,0.000043178683,0.00009786583,0.000044388587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003314505,0.00014420402,0.0001885278,0.0015873444,0.00016171178,0.00091306644,0.000112478054,0.00017847777,0.0009746403],"category_scores_gemma":[0.0012683016,0.00008675308,0.00031537947,0.0018682922,0.00012321386,0.00087081955,0.00045072465,0.00023738413,0.00012552842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019613294,0.000118006414,0.9268458,0.00010052623,0.00024250412,0.001206953,0.0010400725,0.0027025982,0.0039227884,0.0035126929,0.0013515955,0.05876032],"study_design_scores_gemma":[0.000004106332,0.00007976653,0.9907803,0.000024985278,0.000062206,0.00026155656,0.0007810697,0.0038263276,0.0007917239,0.00087977207,0.0024911843,0.000017009597],"about_ca_topic_score_codex":0.0034813394,"about_ca_topic_score_gemma":0.005496271,"teacher_disagreement_score":0.0034813394,"about_ca_system_score_codex":0.00033668918,"about_ca_system_score_gemma":0.00019174532,"threshold_uncertainty_score":0.006922126},"labels":[],"label_agreement":null},{"id":"W6926102822","doi":"10.22004/ag.econ.351196","title":"Le cadre juridique et administratif des plans conjoints de mise en marché des produits agricoles au Québec","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Product (mathematics); Control (management); Referendum; Plan (archaeology); Marketing plan; Payment","score_opus":0.01770431524081256,"score_gpt":0.23731033623702985,"score_spread":0.2196060209962173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926102822","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08575665,0.012252588,0.017897625,0.02870252,0.0013532455,0.00086276757,0.0041544433,0.0010282111,0.847992],"genre_scores_gemma":[0.24722593,0.0037432814,0.009137534,0.001475855,0.00019650893,0.00018719137,0.0010214978,0.0001331072,0.7368791],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947891,0.0006198669,0.0001796002,0.00052585226,0.0029718704,0.00091382826],"domain_scores_gemma":[0.99416345,0.00090584834,0.00032874962,0.00027400663,0.0034655128,0.00086243154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045233164,0.00049363956,0.00033265565,0.002355213,0.008579155,0.010747237,0.0012917959,0.0024020346,0.025302766],"category_scores_gemma":[0.0056792037,0.0007483937,0.0004539958,0.0022267892,0.0017455535,0.0014021945,0.0008729163,0.002740917,0.002152919],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017624254,0.00016663488,0.018248415,0.00035239884,0.00006685547,0.00085122045,0.0050106645,0.0077690957,0.0036891024,0.48093987,0.2942422,0.18848734],"study_design_scores_gemma":[0.000035610417,0.000040607145,0.015452597,0.00012323362,0.000013799266,0.000051248593,0.0009030167,0.0019830242,0.0006092245,0.0020126845,0.9787168,0.000058124402],"about_ca_topic_score_codex":0.9813198,"about_ca_topic_score_gemma":0.98528254,"teacher_disagreement_score":0.093856625,"about_ca_system_score_codex":0.093856625,"about_ca_system_score_gemma":0.14145008,"threshold_uncertainty_score":0.6809807},"labels":[],"label_agreement":null},{"id":"W6926130330","doi":"10.22004/ag.econ.28610","title":"Global Antitrust Prosecution of Modern International Cartels","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Purdue University","keywords":"Cartel; Sanctions; Government (linguistics); Deterrence theory; Price fixing; Economic sanctions; Enforcement; Competition (biology); International law","score_opus":0.01767750968600552,"score_gpt":0.2096907323489815,"score_spread":0.192013222662976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926130330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76741135,0.0016550045,0.0030091535,0.0064085494,0.00021578872,0.00006116475,0.0001338071,0.000086799,0.22101843],"genre_scores_gemma":[0.98690623,0.00036152836,0.0007755828,0.0018362579,0.00008621758,0.000013985936,0.00005939481,0.000024581079,0.009936197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99682236,0.0007912462,0.0001060175,0.00036052873,0.0010509425,0.0008688913],"domain_scores_gemma":[0.99088705,0.0041498714,0.002108656,0.0012949392,0.001100915,0.00045866583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034601828,0.00024995548,0.00030403677,0.0020726102,0.0028965839,0.0041548586,0.0005439908,0.002409996,0.003421],"category_scores_gemma":[0.012032243,0.00019412133,0.00035553862,0.0015290458,0.0038603311,0.002119841,0.002392779,0.0032142454,0.0004173687],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037365867,0.00025200838,0.23953153,0.00038332623,0.00016976995,0.0060080513,0.035472073,0.0047744587,0.006152787,0.3768175,0.07855634,0.25150853],"study_design_scores_gemma":[0.000072962954,0.0005576875,0.40428016,0.0011375251,0.00021748114,0.006900376,0.036663827,0.009010082,0.011303624,0.06859014,0.461085,0.00018117864],"about_ca_topic_score_codex":0.0053039147,"about_ca_topic_score_gemma":0.01671793,"teacher_disagreement_score":0.0053039147,"about_ca_system_score_codex":0.0016281024,"about_ca_system_score_gemma":0.0012875716,"threshold_uncertainty_score":0.0182994},"labels":[],"label_agreement":null},{"id":"W6926143564","doi":"10.22004/ag.econ.335410","title":"Demographics of the U.S. Equine Population, 2015","year":2017,"lang":"en","type":"report","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demographics; Breed; Animal health; Quarter (Canadian coin); Residence; Equidae; Census","score_opus":0.25393116549329664,"score_gpt":0.4075053843994557,"score_spread":0.15357421890615908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926143564","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08185565,0.0012033273,0.0007135287,0.0010261403,0.00023411006,0.0003426109,0.88572717,0.00028523314,0.028612183],"genre_scores_gemma":[0.15270714,0.0027248012,0.002139484,0.0017935756,0.00019186214,0.0020172964,0.79820037,0.00008322575,0.040142175],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9996062,0.00004075134,0.000099996454,0.0000766046,0.00013138671,0.000045036653],"domain_scores_gemma":[0.99904066,0.0001225849,0.00028288615,0.0000417609,0.00039169783,0.000120371864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034027005,0.00041903649,0.00017599828,0.0027574429,0.0004112061,0.0004663806,0.00038665565,0.0003097721,0.023740178],"category_scores_gemma":[0.0018955574,0.00017092444,0.00017473,0.004580093,0.00013429446,0.0009315472,0.0005387404,0.00043033264,0.013169477],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010472383,0.00011060292,0.14510277,0.00052159774,0.000028729188,0.00013038177,0.001846869,0.0003733043,0.0006626345,0.0008596461,0.7965961,0.053662643],"study_design_scores_gemma":[0.000021527141,0.00008938765,0.71980524,0.0004781203,0.0000119891565,0.00053491147,0.0046915105,0.00039197225,0.00029999745,0.00034706222,0.27330792,0.000020351732],"about_ca_topic_score_codex":0.024894312,"about_ca_topic_score_gemma":0.04248987,"teacher_disagreement_score":0.024894312,"about_ca_system_score_codex":0.00041509452,"about_ca_system_score_gemma":0.0008330933,"threshold_uncertainty_score":0.07941878},"labels":[],"label_agreement":null},{"id":"W6926178608","doi":"10.22004/ag.econ.302484","title":"Intellectual Property Rights and Funding Canadian Pulse Breeding for the 21st Century","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Demotion","score_opus":0.036818018380660865,"score_gpt":0.23093647855806992,"score_spread":0.19411846017740905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926178608","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007117529,0.0027535022,0.004072107,0.15048294,0.0040040994,0.00028162965,0.006154318,0.0007605524,0.82437336],"genre_scores_gemma":[0.13667826,0.003987104,0.007867957,0.022528032,0.0009649906,0.00018247252,0.003435645,0.00040566042,0.8239497],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98971564,0.00062337436,0.00021991871,0.0005485644,0.0065559405,0.0023365864],"domain_scores_gemma":[0.9547144,0.00415753,0.000865194,0.0020883593,0.030702228,0.0074723004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007221665,0.00057092676,0.00047010506,0.0024901915,0.0058599166,0.005897783,0.002105686,0.0034331866,0.091850124],"category_scores_gemma":[0.031849656,0.00034602228,0.0005784673,0.0029956973,0.0030205387,0.0023891258,0.0026613239,0.0037346978,0.007205192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008858208,0.000042105767,0.0026312617,0.00018566723,0.000024656882,0.00023404363,0.0007820174,0.00042388216,0.00095759245,0.27571982,0.6177743,0.101136036],"study_design_scores_gemma":[0.000021986365,0.000013735433,0.0038892203,0.00013799986,0.00001540618,0.00009227608,0.00051743956,0.0004985228,0.00032670438,0.006728579,0.98773545,0.000022816594],"about_ca_topic_score_codex":0.9606325,"about_ca_topic_score_gemma":0.9642544,"teacher_disagreement_score":0.94259745,"about_ca_system_score_codex":0.057402547,"about_ca_system_score_gemma":0.28243414,"threshold_uncertainty_score":0.41648662},"labels":[],"label_agreement":null},{"id":"W6926198892","doi":"10.22004/ag.econ.306003","title":"The Québec Intercity Bus Industry, Specialization and Route Abandonments: A Preliminary Assessment","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Process (computing); Production (economics); Component (thermodynamics); Public transport; Key (lock); Data collection; Identification (biology)","score_opus":0.03231253192545177,"score_gpt":0.2660258494285705,"score_spread":0.23371331750311872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926198892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97146624,0.001513629,0.0003982957,0.0023162223,0.000015718895,0.00014188798,0.0054345075,0.000012590151,0.018700933],"genre_scores_gemma":[0.9865876,0.0009394836,0.00024520716,0.00024875763,0.000014941195,0.000044686898,0.0017701212,0.000004719852,0.010144435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895275,0.00025635157,0.000029009085,0.0000789228,0.0003085859,0.0003743767],"domain_scores_gemma":[0.9926449,0.0023989817,0.00091238,0.00014582946,0.0029535682,0.0009443944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020624588,0.0003987884,0.00043762132,0.0025846337,0.0019758774,0.002536303,0.0011993308,0.00087525835,0.011846704],"category_scores_gemma":[0.0058680363,0.00020022143,0.0009050494,0.0049307737,0.00096884224,0.0012675746,0.0007802366,0.0008418767,0.00038806407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036508398,0.00025045665,0.97581017,0.000060016573,0.00017108532,0.00025466704,0.00061294215,0.0027874853,0.00014293841,0.0027574587,0.003644533,0.013143225],"study_design_scores_gemma":[0.000025146912,0.00011092514,0.98601973,0.00003918488,0.00013234738,0.000027882386,0.0042858706,0.0041786227,0.00007800905,0.00025630632,0.004831231,0.000014708631],"about_ca_topic_score_codex":0.9916005,"about_ca_topic_score_gemma":0.99667466,"teacher_disagreement_score":0.035892278,"about_ca_system_score_codex":0.035892278,"about_ca_system_score_gemma":0.032549646,"threshold_uncertainty_score":0.26041794},"labels":[],"label_agreement":null},{"id":"W6926244242","doi":"10.22004/ag.econ.267640","title":"MDGs to Agenda 2063/SDGs Transition Report 2016: 2016Towards an integrated and coherent approach to sustainable development in Africa","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"African Union Commission; African Union; United Nations Development Programme; African Development Bank Group","keywords":"Poverty; Population; Government (linguistics); Sustainable development; Context (archaeology); Work (physics)","score_opus":0.08896341389795344,"score_gpt":0.34165029755182813,"score_spread":0.2526868836538747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926244242","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02227208,0.045997243,0.020213598,0.16654122,0.0630545,0.010085272,0.1602694,0.0031277265,0.50843894],"genre_scores_gemma":[0.13330506,0.10858576,0.10505429,0.075228445,0.008462176,0.014116517,0.22624506,0.0026272142,0.3263755],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940388,0.0011698421,0.00058822066,0.00021878707,0.0023733864,0.0016109385],"domain_scores_gemma":[0.9950558,0.0002970778,0.0005358386,0.00019044752,0.0027648027,0.0011560667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008986656,0.0022130727,0.0008854273,0.0029911518,0.0014819207,0.0061084456,0.002341304,0.003849029,0.019008271],"category_scores_gemma":[0.011005742,0.0007081776,0.001578277,0.004049964,0.00079647073,0.0043048174,0.00691986,0.004839559,0.009786288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002648866,0.0002733302,0.003229715,0.003695892,0.00007568356,0.0006495741,0.00085366453,0.0027012324,0.0021267203,0.039951585,0.8161172,0.13006051],"study_design_scores_gemma":[0.000027577229,0.00004791612,0.0023506305,0.000817983,0.0000114943105,0.000060699458,0.00027186878,0.00015499706,0.0005622247,0.003008708,0.9926664,0.000019639025],"about_ca_topic_score_codex":0.03811521,"about_ca_topic_score_gemma":0.019531755,"teacher_disagreement_score":0.03811521,"about_ca_system_score_codex":0.0064179935,"about_ca_system_score_gemma":0.047021825,"threshold_uncertainty_score":0.07578671},"labels":[],"label_agreement":null},{"id":"W6926290018","doi":"10.22004/ag.econ.289966","title":"Canada’s and Ontario’s Agri-food Risk Management Policy: A Historical Commentary to Prepare for the Future Directions","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Risk management; Risk assessment; Work (physics); Government (linguistics); Field (mathematics); Context (archaeology)","score_opus":0.01975339497362238,"score_gpt":0.24065135869306148,"score_spread":0.2208979637194391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926290018","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003883918,0.014167531,0.000313286,0.9389238,0.0043302025,0.000029769562,0.0006253923,0.000020712221,0.037705377],"genre_scores_gemma":[0.17155203,0.021271119,0.0018684162,0.69483846,0.0048079584,0.00013619436,0.00031036354,0.00013951589,0.10507596],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98653656,0.0016549075,0.00052004785,0.00089087425,0.0059912945,0.0044062734],"domain_scores_gemma":[0.97535783,0.0071249683,0.0010128848,0.00039182283,0.012857016,0.003255553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009451166,0.0008011952,0.0010057229,0.002691741,0.025420621,0.013767051,0.005615269,0.028145539,0.007480294],"category_scores_gemma":[0.024862772,0.0011856321,0.001375327,0.00704334,0.014902681,0.005425397,0.0030835925,0.022427479,0.00049146486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00007056608,0.0000222474,0.0012383033,0.00034689714,0.000041530566,0.00028267753,0.00861481,0.0004979309,0.00015415488,0.2442283,0.73612,0.008382615],"study_design_scores_gemma":[0.00003980383,0.00000887698,0.0037328727,0.0005999221,0.000054633998,0.000037289712,0.0061930018,0.00030312376,0.00012008796,0.012217088,0.9765608,0.0001324415],"about_ca_topic_score_codex":0.99694,"about_ca_topic_score_gemma":0.99853647,"teacher_disagreement_score":0.70951736,"about_ca_system_score_codex":0.29048264,"about_ca_system_score_gemma":0.42962593,"threshold_uncertainty_score":0.8229396},"labels":[],"label_agreement":null},{"id":"W6926309707","doi":"10.22004/ag.econ.289954","title":"Canadian Agriculture and Food A Growing Hunger for Change","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Food security; Food supply; Food systems; Food processing","score_opus":0.05931377790279577,"score_gpt":0.21960754536629473,"score_spread":0.16029376746349897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926309707","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017572403,0.020505099,0.00041452108,0.69729125,0.0039156177,0.000035158166,0.0014754024,0.0001136917,0.2586768],"genre_scores_gemma":[0.41314554,0.03434128,0.0026814358,0.15643506,0.0016367746,0.000059289265,0.0010942026,0.00012904254,0.3904774],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99770254,0.0002044452,0.00003615089,0.00020687132,0.0010261486,0.0008237838],"domain_scores_gemma":[0.99690187,0.00019786676,0.000103703,0.0000835466,0.0015657768,0.0011471566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013206261,0.00038973032,0.00039209542,0.0014809029,0.010131244,0.0057914266,0.0008274154,0.004116236,0.031194098],"category_scores_gemma":[0.0035554252,0.00023620763,0.0004531423,0.002641757,0.0037635986,0.0016723569,0.0017492914,0.003101507,0.0011040915],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009461246,0.000035843706,0.005415463,0.00025753526,0.000038404036,0.00024256686,0.0014693117,0.00031558366,0.0008606675,0.1851289,0.7354134,0.070727766],"study_design_scores_gemma":[0.000016332282,0.000011266808,0.011060827,0.00012949138,0.000016512608,0.00004261658,0.0021288039,0.000107037675,0.00012407296,0.006004158,0.9803334,0.000025472944],"about_ca_topic_score_codex":0.9893825,"about_ca_topic_score_gemma":0.9960401,"teacher_disagreement_score":0.1057329,"about_ca_system_score_codex":0.1057329,"about_ca_system_score_gemma":0.18388207,"threshold_uncertainty_score":0.7671495},"labels":[],"label_agreement":null},{"id":"W6926331913","doi":"10.22004/ag.econ.289940","title":"Ethanol and Corn in Ontario: An Update and Prognosis","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Amazonian Archaeology and Ethnohistory","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ethanol; Ethanol fuel; Ethanol fermentation; Consumption (sociology); Corn ethanol","score_opus":0.07231464564408156,"score_gpt":0.2084540971337432,"score_spread":0.1361394514896616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926331913","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2966295,0.5891071,0.0006343434,0.021964276,0.0017185562,0.00019817165,0.012473631,0.00008085573,0.07719365],"genre_scores_gemma":[0.34730253,0.61195207,0.0012175068,0.005145413,0.0011936036,0.00006444912,0.0063120825,0.000041288677,0.026771063],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993806,0.00003062179,0.00012181722,0.000048398364,0.0002794195,0.00013913024],"domain_scores_gemma":[0.9973779,0.0003094661,0.0005846059,0.00007819441,0.0013554263,0.00029449986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006438381,0.00038798954,0.0004843128,0.003257504,0.0012666108,0.001374008,0.0008598312,0.0010711949,0.0052444804],"category_scores_gemma":[0.0016408601,0.00031105502,0.00052209664,0.0100850295,0.00095998374,0.0012350613,0.0008366402,0.0006578621,0.00059266726],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006714064,0.00017949834,0.5513567,0.0045009386,0.00016120216,0.007162064,0.0034601737,0.00026231742,0.00095547794,0.0009836856,0.07427877,0.3560278],"study_design_scores_gemma":[0.000040085724,0.00013337591,0.6193183,0.0022535142,0.0003252766,0.0059810323,0.008320301,0.00016128655,0.00043327818,0.00018614493,0.3627866,0.000060748313],"about_ca_topic_score_codex":0.9237485,"about_ca_topic_score_gemma":0.9791961,"teacher_disagreement_score":0.07625151,"about_ca_system_score_codex":0.01297206,"about_ca_system_score_gemma":0.029793942,"threshold_uncertainty_score":0.15340108},"labels":[],"label_agreement":null},{"id":"W6926332931","doi":"10.22004/ag.econ.354232","title":"Gestion de l'offre et compétitivité des industries laitières au Canada","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Milk products; Added value; Dairy industry; Agribusiness; Ice cream","score_opus":0.017392467302129292,"score_gpt":0.24681719581914724,"score_spread":0.22942472851701795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926332931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86037403,0.011685545,0.0007579725,0.007922637,0.00008594349,0.00004061716,0.0020062784,0.0001088237,0.11701817],"genre_scores_gemma":[0.96737695,0.0054622167,0.0008208485,0.0005501097,0.000019235988,0.000011069763,0.00052831793,0.00001695525,0.025214273],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871993,0.000104468476,0.00002455829,0.00007775256,0.0005208357,0.00055247906],"domain_scores_gemma":[0.998694,0.00012849802,0.00012697047,0.000022515453,0.0005509076,0.00047719863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007193677,0.00028518846,0.00017855932,0.0019404218,0.00273686,0.0030090697,0.00029920528,0.00037945653,0.0059630414],"category_scores_gemma":[0.0011780154,0.00012775857,0.00031928485,0.0029328135,0.0008399436,0.00043386553,0.0006043061,0.0006191154,0.00045881447],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005847224,0.00016302463,0.67162496,0.0004369206,0.00014491816,0.0011106685,0.010076664,0.0015682523,0.009653747,0.026254699,0.02014404,0.25823736],"study_design_scores_gemma":[0.000016855769,0.00008346244,0.88616425,0.00014965597,0.000029560711,0.00016350271,0.0071185795,0.0006539797,0.00082671095,0.00063112157,0.10412368,0.000038587837],"about_ca_topic_score_codex":0.98419005,"about_ca_topic_score_gemma":0.99098957,"teacher_disagreement_score":0.028526809,"about_ca_system_score_codex":0.028526809,"about_ca_system_score_gemma":0.03385804,"threshold_uncertainty_score":0.20697749},"labels":[],"label_agreement":null},{"id":"W6926333321","doi":"10.22004/ag.econ.304581","title":"Do Front-of-Package Warning Labels Reduce Demand for Foods ‘High In’ Saturated Fat, Sugar, or Sodium?","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Consumption (sociology); Quality (philosophy); Production (economics); Product (mathematics)","score_opus":0.0346763933693928,"score_gpt":0.2566277562183136,"score_spread":0.22195136284892078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926333321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.869099,0.0094914185,0.0041046864,0.06364459,0.0048351237,0.0012242561,0.009542516,0.0006122302,0.037446164],"genre_scores_gemma":[0.9695636,0.0040370305,0.0056232098,0.010633709,0.0010474111,0.0006216881,0.0019120824,0.00008346681,0.0064778416],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99772555,0.0012858962,0.000114104965,0.00026319094,0.00035096696,0.00026032518],"domain_scores_gemma":[0.99075574,0.0049351,0.002166551,0.00043937413,0.00096770824,0.0007355873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043453844,0.00046617325,0.00066452107,0.00060936244,0.00035013838,0.0012906153,0.0012086153,0.0021931797,0.026321145],"category_scores_gemma":[0.021373825,0.00042997283,0.0013957057,0.00065799186,0.00072036457,0.001697508,0.00057732174,0.0013274413,0.0025569848],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.05201848,0.039740525,0.115295425,0.005118049,0.0023946601,0.00009927388,0.0011655341,0.0009583707,0.0023970606,0.0032364142,0.061146088,0.7164301],"study_design_scores_gemma":[0.032623842,0.040470358,0.79928225,0.0046878317,0.0070984517,0.00016796522,0.0034072208,0.00786002,0.0062782043,0.010361359,0.08744336,0.0003192363],"about_ca_topic_score_codex":0.010154645,"about_ca_topic_score_gemma":0.0154535165,"teacher_disagreement_score":0.026321145,"about_ca_system_score_codex":0.0010899662,"about_ca_system_score_gemma":0.0019988413,"threshold_uncertainty_score":0.08805299},"labels":[],"label_agreement":null},{"id":"W6926334350","doi":"10.22004/ag.econ.348498","title":"Economic cointegration of the North American agricultural sector","year":2024,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Agriculture; Economic sector; Secondary sector of the economy; Causality (physics); Public sector","score_opus":0.03445503249191043,"score_gpt":0.22616918211771136,"score_spread":0.19171414962580094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926334350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97233635,0.0014936479,0.004635453,0.0007503324,0.00008051899,0.00006804262,0.001272403,0.000049114158,0.019314121],"genre_scores_gemma":[0.99590886,0.0006051331,0.0006821012,0.000042883446,0.000022268909,0.000021781445,0.00084010605,0.0000061011974,0.0018706647],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818665,0.0004462057,0.00011477435,0.0003732436,0.0004897859,0.00038926012],"domain_scores_gemma":[0.99327374,0.0023902226,0.001907027,0.00048021792,0.0017199627,0.00022878245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002170075,0.00043427933,0.00045534977,0.0021064137,0.00058479514,0.0021486846,0.00028524967,0.0002851572,0.0037764483],"category_scores_gemma":[0.008948394,0.00017044724,0.0006886101,0.003790251,0.000575583,0.00081356696,0.00068216474,0.0006967856,0.00028512432],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001984681,0.0000771743,0.925954,0.00010746026,0.0007637371,0.0005936201,0.0007648771,0.010688567,0.00072628126,0.019049242,0.00290433,0.038172197],"study_design_scores_gemma":[0.000020000669,0.00007380102,0.9377064,0.00016855467,0.00032886918,0.00022591188,0.0021613694,0.034750808,0.00089566025,0.006591676,0.017046498,0.000030564926],"about_ca_topic_score_codex":0.16796283,"about_ca_topic_score_gemma":0.12869611,"teacher_disagreement_score":0.16796283,"about_ca_system_score_codex":0.0021352873,"about_ca_system_score_gemma":0.0035719974,"threshold_uncertainty_score":0.33397037},"labels":[],"label_agreement":null},{"id":"W6926421182","doi":"10.22004/ag.econ.306048","title":"The Full Costs of Transporting People in the Greater Vancouver Region","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","score_opus":0.01781425948377553,"score_gpt":0.1961772565692505,"score_spread":0.17836299708547498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926421182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89619505,0.0011986885,0.0002446032,0.011071449,0.000087030516,0.000050314135,0.0013225798,0.000020892143,0.089809366],"genre_scores_gemma":[0.9767889,0.0017750202,0.00022273658,0.0002947422,0.000027296905,0.0000220922,0.0003163163,0.000010743901,0.020542324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894506,0.00026558927,0.000029102603,0.000037482085,0.00018382836,0.00053900055],"domain_scores_gemma":[0.997615,0.00056799327,0.00017149579,0.000082197286,0.0005973958,0.00096604996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004982976,0.0002406718,0.00026677558,0.0010923268,0.0038363833,0.0046473504,0.0008400425,0.0013083683,0.02001924],"category_scores_gemma":[0.0046614152,0.00032732828,0.00030822642,0.0024480973,0.0012228696,0.0015926948,0.0019683721,0.0012224568,0.0007959468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081133324,0.0009892299,0.47037745,0.0006297467,0.00040720464,0.0043155113,0.015673514,0.029781582,0.0013243458,0.04148247,0.08670768,0.34749997],"study_design_scores_gemma":[0.0001120968,0.00022844576,0.6715564,0.0009450068,0.00032052706,0.00122928,0.1934983,0.014040807,0.0004347814,0.012136228,0.105348654,0.00014944651],"about_ca_topic_score_codex":0.92446446,"about_ca_topic_score_gemma":0.97450566,"teacher_disagreement_score":0.075535536,"about_ca_system_score_codex":0.017195927,"about_ca_system_score_gemma":0.01873123,"threshold_uncertainty_score":0.15196073},"labels":[],"label_agreement":null},{"id":"W6926421836","doi":"10.22004/ag.econ.289842","title":"Emissions Trading in Agriculture: A Canadian Perspective","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Emissions trading; Greenhouse gas; Government (linguistics); Climate change","score_opus":0.0275136415107473,"score_gpt":0.24162556532280366,"score_spread":0.21411192381205635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926421836","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02902752,0.09229234,0.0028146491,0.32509366,0.0018116502,0.000049157963,0.0017947014,0.00009009574,0.5470262],"genre_scores_gemma":[0.7067194,0.14002645,0.0051584537,0.039690763,0.0015432143,0.000043890148,0.00056233694,0.00011935326,0.106136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99683964,0.00028709567,0.00007892179,0.00026614597,0.0013292086,0.0011989215],"domain_scores_gemma":[0.9972154,0.00038102613,0.00015324421,0.000056765824,0.0017731532,0.00042035288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019465347,0.0012394772,0.0009226341,0.0053969393,0.007907606,0.011223157,0.0020676719,0.0062044254,0.00964578],"category_scores_gemma":[0.0039770324,0.0004695779,0.0012545999,0.008485632,0.005474241,0.0048926487,0.0017370187,0.0050421814,0.000372055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013337139,0.00007638334,0.0034797182,0.0003606774,0.00010770668,0.0005439726,0.0011998331,0.010695924,0.0009071779,0.89219296,0.052174676,0.038127586],"study_design_scores_gemma":[0.0000750065,0.00004838707,0.022091594,0.0014129014,0.00027382627,0.00024502206,0.0072440444,0.009099192,0.0008130132,0.24275795,0.71560526,0.00033381733],"about_ca_topic_score_codex":0.9952024,"about_ca_topic_score_gemma":0.9962929,"teacher_disagreement_score":0.17033568,"about_ca_system_score_codex":0.17033568,"about_ca_system_score_gemma":0.17305823,"threshold_uncertainty_score":0.962293},"labels":[],"label_agreement":null},{"id":"W6926426701","doi":"10.22004/ag.econ.37962","title":"U.S.-Canadian Tomato Wars: An Economist Tries to Make Sense Out of Recent Antidumping Suits","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commission; Product (mathematics); Market definition; Common sense; Economic analysis; Domestic market; European commission; Product market","score_opus":0.15351969630411824,"score_gpt":0.3489999949742203,"score_spread":0.19548029867010205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926426701","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034135368,0.010419169,0.0005471878,0.6695313,0.0013398402,0.00002255281,0.00021549256,0.000034568795,0.28375453],"genre_scores_gemma":[0.7085605,0.019352278,0.0010276672,0.1083089,0.00056619075,0.000024062258,0.00016060434,0.000063118285,0.1619366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99792033,0.00023471363,0.00003600061,0.00016114826,0.00076362694,0.000884212],"domain_scores_gemma":[0.9981876,0.00045436932,0.00011396441,0.000053448588,0.0007662216,0.00042441435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00245687,0.00036394727,0.00027415314,0.0014520972,0.02390597,0.009613764,0.0010313395,0.006366405,0.009976461],"category_scores_gemma":[0.0057797283,0.00028933847,0.0003564303,0.002391979,0.009066666,0.0035824857,0.0016288102,0.005473652,0.0006098578],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053716154,0.00003515787,0.0060957493,0.000065275526,0.000014756681,0.0007254261,0.012072145,0.00040051065,0.0002842182,0.4831586,0.46185142,0.035243105],"study_design_scores_gemma":[0.000012766923,0.000016691763,0.009681874,0.0001504144,0.000021769543,0.00011717236,0.023964765,0.00043398887,0.00030775036,0.019955711,0.9452816,0.000055354056],"about_ca_topic_score_codex":0.96782124,"about_ca_topic_score_gemma":0.98742235,"teacher_disagreement_score":0.06983816,"about_ca_system_score_codex":0.06983816,"about_ca_system_score_gemma":0.04894094,"threshold_uncertainty_score":0.5067137},"labels":[],"label_agreement":null},{"id":"W6926493307","doi":"10.22004/ag.econ.289930","title":"Canada’s Agri‐Food Policy Framework ‐ Growing Forward II Just a Spending Plan? A new National Food Strategy? Or is there an Alternative?","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Dysgeusia; Liquation; Triacetin; Emperipolesis; Durvalumab","score_opus":0.10486930789628668,"score_gpt":0.2825142886944438,"score_spread":0.1776449807981571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926493307","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007362983,0.0050608395,0.0012387878,0.8262269,0.0047552595,0.00012041792,0.0021567228,0.00022641021,0.15285164],"genre_scores_gemma":[0.14355,0.005821124,0.008869817,0.5976442,0.0014522641,0.00022232038,0.00130077,0.00019430465,0.24094528],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98819995,0.0011589405,0.00023740929,0.00054456154,0.0057194442,0.004139771],"domain_scores_gemma":[0.9849445,0.0013211793,0.00029371487,0.0003160099,0.007266252,0.0058583696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0087581,0.001098211,0.0009025692,0.0025412259,0.009403533,0.01419324,0.0034519876,0.017393455,0.016125532],"category_scores_gemma":[0.013504704,0.0008128641,0.001283957,0.0028398104,0.0047822595,0.0040927143,0.0027511376,0.011340294,0.0013168894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007854515,0.00010225039,0.0018752872,0.00016944652,0.000058489273,0.00014641581,0.0005325318,0.0012601356,0.0004776886,0.27368078,0.70593,0.015688457],"study_design_scores_gemma":[0.000081326754,0.000031787935,0.0062049734,0.00033719902,0.0000575962,0.000046244597,0.00094586797,0.0010682114,0.0002902502,0.017091993,0.9737309,0.000113657436],"about_ca_topic_score_codex":0.98454535,"about_ca_topic_score_gemma":0.9921961,"teacher_disagreement_score":0.8728063,"about_ca_system_score_codex":0.12719366,"about_ca_system_score_gemma":0.502203,"threshold_uncertainty_score":0.9228589},"labels":[],"label_agreement":null},{"id":"W6926507676","doi":"10.22004/ag.econ.364771","title":"IEEPA Tariff Escalation: What It Means for U.S. Food and Ag-Input Imports","year":2025,"lang":"en","type":"report","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tariff; China; Agriculture; Quarter (Canadian coin); Trade diversion; Consumption (sociology)","score_opus":0.07391121086666463,"score_gpt":0.31517580272671475,"score_spread":0.24126459186005011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926507676","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18914752,0.009183455,0.0022020806,0.1715678,0.0016048544,0.000042378986,0.003254107,0.00020839446,0.6227895],"genre_scores_gemma":[0.9090038,0.0060565462,0.0015718064,0.026448218,0.0006622034,0.000042535732,0.0019329567,0.00020530047,0.054076616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991529,0.00014401184,0.00003452528,0.00010499549,0.00029627045,0.00026732645],"domain_scores_gemma":[0.99902606,0.00020246612,0.0001536827,0.00008520854,0.00040064656,0.00013206938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287362,0.00021137847,0.00013172784,0.0011071238,0.0021309543,0.0054416256,0.00056704,0.0013760679,0.011939039],"category_scores_gemma":[0.0035358747,0.0001486246,0.0004787276,0.0021480343,0.0012070714,0.0035949345,0.0008303033,0.0025040563,0.0010854205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001609957,0.000118095384,0.052471578,0.00016039741,0.000042077776,0.00055261084,0.004054465,0.001584443,0.0009639754,0.5314405,0.257544,0.15090682],"study_design_scores_gemma":[0.000023764276,0.00010295311,0.09431155,0.0008991402,0.000043447577,0.00039728603,0.009407267,0.002031032,0.0013255415,0.09020471,0.80117536,0.000077856326],"about_ca_topic_score_codex":0.06940997,"about_ca_topic_score_gemma":0.09428363,"teacher_disagreement_score":0.06940997,"about_ca_system_score_codex":0.005751408,"about_ca_system_score_gemma":0.0035841714,"threshold_uncertainty_score":0.13801193},"labels":[],"label_agreement":null},{"id":"W6944705320","doi":"10.22004/ag.econ.289850","title":"Potential Role of the Ontario Environmental Farm Plan in Responding to Sustainability Demands of the Agri-food Supply Chain","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Plan (archaeology); Supply chain; Chain (unit); Food supply; Production (economics); Sustainability organizations; Context (archaeology)","score_opus":0.009755996936356778,"score_gpt":0.18463374671259403,"score_spread":0.17487774977623724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944705320","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33997956,0.0011828186,0.0032567445,0.10778238,0.00030788765,0.0004399726,0.0016319612,0.000106018524,0.5453127],"genre_scores_gemma":[0.9438351,0.0005457413,0.0028763895,0.0029458734,0.000050629806,0.00007539863,0.00020613872,0.000025394856,0.049439266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99809486,0.00041163576,0.000040121515,0.000109333385,0.00076597143,0.0005780687],"domain_scores_gemma":[0.9940897,0.0014391098,0.00040033224,0.00021762498,0.0023460279,0.0015072537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003519891,0.00013502444,0.00011229352,0.0007608881,0.0032723306,0.004479145,0.0008513088,0.0017385174,0.009915097],"category_scores_gemma":[0.0116963275,0.0002525898,0.00022626604,0.0010155728,0.0017109326,0.001352519,0.0011827626,0.00084615283,0.0002808012],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060573703,0.00026577053,0.1714206,0.00030805456,0.00012012829,0.0010770013,0.00663807,0.024611076,0.002537643,0.4341144,0.19088595,0.16741559],"study_design_scores_gemma":[0.0001924614,0.00019822625,0.26872852,0.000342732,0.00013221524,0.00017574706,0.016847525,0.033794604,0.0016501078,0.035087872,0.6426842,0.0001657364],"about_ca_topic_score_codex":0.9382057,"about_ca_topic_score_gemma":0.98422194,"teacher_disagreement_score":0.06179428,"about_ca_system_score_codex":0.045796838,"about_ca_system_score_gemma":0.07629214,"threshold_uncertainty_score":0.33228087},"labels":[],"label_agreement":null},{"id":"W6944875342","doi":"10.22004/ag.econ.306047","title":"British Columbia Road-User Unit Costs","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Government (linguistics); Work (physics); Activity-based costing","score_opus":0.03208915585276113,"score_gpt":0.243910681059882,"score_spread":0.2118215252071209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944875342","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001180025,0.0005647726,0.0003046307,0.0027139464,0.001341615,0.00015427233,0.0072538084,0.00085990824,0.98562706],"genre_scores_gemma":[0.001248893,0.0002610134,0.00008748167,0.00023168477,0.00005328521,0.000026764754,0.0014069154,0.00010586554,0.99657804],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99857473,0.00010990125,0.00005356384,0.00017157306,0.0007167918,0.00037346027],"domain_scores_gemma":[0.9970067,0.00032961403,0.0000692939,0.00039448566,0.0016204688,0.0005794625],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076011446,0.0018298066,0.0014760816,0.0029190567,0.0046713464,0.0050684917,0.0015947372,0.005292162,0.8360583],"category_scores_gemma":[0.0044408743,0.0010597117,0.0011867129,0.0036623564,0.0009390506,0.001294236,0.0018737583,0.002382585,0.705494],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009111839,0.00008397854,0.00034855076,0.00006912816,0.000006983022,0.00010258697,0.000019567904,0.00014351062,0.00023653636,0.0018640689,0.94632566,0.05070837],"study_design_scores_gemma":[0.000042169817,0.000030161706,0.0032928681,0.000108956556,0.000012628692,0.00006167574,0.00011656359,0.00032315013,0.00018379415,0.00056978874,0.99523735,0.000020877982],"about_ca_topic_score_codex":0.37466437,"about_ca_topic_score_gemma":0.57329154,"teacher_disagreement_score":0.8360583,"about_ca_system_score_codex":0.008405554,"about_ca_system_score_gemma":0.019694928,"threshold_uncertainty_score":0.74496716},"labels":[],"label_agreement":null},{"id":"W6944919136","doi":"10.22004/ag.econ.292997","title":"Effects of Poverty on Deforestation: Distinguishing Behavior from Location","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Tinker Foundation; Canada Excellence Research Chairs, Government of Canada; Yale University; National Science Foundation","keywords":"Poverty; Deforestation (computer science); Clearance; Poverty reduction; Consumption (sociology); Empirical research; Poor people; Control (management)","score_opus":0.013363278431851177,"score_gpt":0.19959327417624023,"score_spread":0.18622999574438906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944919136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95969,0.021360254,0.0053634173,0.001485154,0.000021670783,0.000023909808,0.0010049788,0.00003189016,0.011018838],"genre_scores_gemma":[0.9891762,0.008667985,0.0012217122,0.000079419406,0.000034532863,0.000016796974,0.00023063034,0.000008547043,0.0005641869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938595,0.0002890776,0.000047975704,0.00007355142,0.0001329929,0.0000703879],"domain_scores_gemma":[0.99440527,0.002386925,0.0023754141,0.000302151,0.0003563211,0.00017384195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009723786,0.00023452101,0.0003168049,0.0013874474,0.0003380239,0.0007014327,0.0003517832,0.00026841118,0.0013781637],"category_scores_gemma":[0.004881089,0.00016865693,0.0004526027,0.0028839987,0.0009912882,0.00075024,0.0007929021,0.00044290422,0.00022179882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028027058,0.000044708933,0.9549293,0.00014893571,0.00017523512,0.00008520916,0.000737364,0.001744852,0.0002936212,0.0020467474,0.0005097622,0.039256226],"study_design_scores_gemma":[8.729852e-7,0.00002575497,0.995116,0.00006362755,0.000031222415,0.00006557616,0.00039819363,0.00060031255,0.00015808761,0.001227587,0.0023047044,0.0000081020125],"about_ca_topic_score_codex":0.018246504,"about_ca_topic_score_gemma":0.027583914,"teacher_disagreement_score":0.018246504,"about_ca_system_score_codex":0.0006545793,"about_ca_system_score_gemma":0.00024716003,"threshold_uncertainty_score":0.036280572},"labels":[],"label_agreement":null},{"id":"W6944930720","doi":"10.22004/ag.econ.274712","title":"Bootstrap and Asymptotic Inference with Multiway Clustering","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University; Canada Research Chairs; Danmarks Grundforskningsfond; National Research Foundation","keywords":"Inference; Estimator; Cluster analysis; Regression; Statistical inference; Variance (accounting); Regression analysis; Cluster (spacecraft)","score_opus":0.05304024226592325,"score_gpt":0.28598185899725687,"score_spread":0.23294161673133362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944930720","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004376795,0.00018259094,0.9945115,0.00016632375,0.000019634776,0.000015240579,0.000021274844,0.00009255448,0.0006141831],"genre_scores_gemma":[0.39567336,0.000579848,0.60079736,0.0003841263,0.0002077924,0.00032652743,0.00028645492,0.0002589683,0.0014855834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9805516,0.015288962,0.00044953986,0.0013636952,0.002006296,0.00033986193],"domain_scores_gemma":[0.9105044,0.07051877,0.004103066,0.010773623,0.0036406955,0.00045948394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028582787,0.0009841627,0.0015461155,0.0026471387,0.0009792743,0.0018636261,0.0035267067,0.002712041,0.0022522372],"category_scores_gemma":[0.16474445,0.0008680459,0.0017427125,0.0028078237,0.0038749548,0.003828633,0.0033348002,0.0035065683,0.000603571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008767852,0.00007241785,0.0038200617,0.00017627225,0.00025632692,0.00015578166,0.00036639767,0.16644558,0.0009533715,0.76402557,0.002013438,0.061627127],"study_design_scores_gemma":[0.000028624063,0.00003169181,0.00071152847,0.000059611604,0.000027556463,0.00007388852,0.000043027092,0.59951866,0.00078056735,0.39702794,0.0016689386,0.000027933454],"about_ca_topic_score_codex":0.0027880245,"about_ca_topic_score_gemma":0.0022618705,"teacher_disagreement_score":0.028582787,"about_ca_system_score_codex":0.0012252143,"about_ca_system_score_gemma":0.001340658,"threshold_uncertainty_score":0.15116203},"labels":[],"label_agreement":null},{"id":"W6944957343","doi":"10.22004/ag.econ.334688","title":"FARMLAND VALUES AND CREDIT CONDITIONS","year":2023,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Loan; Agriculture; Year-ending; Population","score_opus":0.04467320398559867,"score_gpt":0.2653505516210516,"score_spread":0.22067734763545294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944957343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694957,0.00018551073,0.00011225214,0.00049052475,0.000021773856,0.000036454472,0.004631302,0.000019547728,0.025006946],"genre_scores_gemma":[0.99457717,0.00007700601,0.000063091895,0.000055074193,0.000012867646,0.000015892558,0.001721287,0.000003189656,0.003474346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994405,0.00008902848,0.00004484615,0.00007545754,0.00018732341,0.00016288419],"domain_scores_gemma":[0.9973629,0.00022674176,0.001101715,0.000091016474,0.00041184103,0.0008058059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041542033,0.00010868902,0.0001391297,0.00097587705,0.00073270476,0.0011204713,0.00028388255,0.00031806505,0.016093895],"category_scores_gemma":[0.0027381682,0.0000996418,0.00014204287,0.0015865262,0.00039566812,0.00061492715,0.0006239268,0.00043771561,0.0012488116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004380297,0.00009570989,0.9871022,0.000019065932,0.000019432948,0.000102570346,0.00031793074,0.00018336096,0.00012438634,0.00029829482,0.004416781,0.0072764806],"study_design_scores_gemma":[0.0000019102374,0.000027764714,0.99619687,0.000006756162,0.000001874752,0.00006433242,0.00052710285,0.00007536508,0.00002994781,0.00006819923,0.0029957124,0.0000041679114],"about_ca_topic_score_codex":0.021966651,"about_ca_topic_score_gemma":0.04923159,"teacher_disagreement_score":0.021966651,"about_ca_system_score_codex":0.00086687016,"about_ca_system_score_gemma":0.00037321806,"threshold_uncertainty_score":0.053839386},"labels":[],"label_agreement":null},{"id":"W6944963908","doi":"10.22004/ag.econ.348515","title":"Impact of the USMCA on corn (Zea mays L.) trade dynamics and food security in Mexico","year":2024,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Latin American rural development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food security; Tariff; Free trade; Agriculture; Trade barrier; Gravity model of trade; Product (mathematics); Consumption (sociology)","score_opus":0.01725377868378166,"score_gpt":0.22200671068152578,"score_spread":0.2047529319977441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944963908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968413,0.00026521555,0.00012085763,0.00018398033,0.000002906937,0.0000069045313,0.00076152274,0.00000410808,0.0018132734],"genre_scores_gemma":[0.9981184,0.00036886535,0.00021866454,0.000023140012,0.0000052358982,0.000010658297,0.00077612745,0.0000024106075,0.00047657147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975604,0.000057676425,0.000014139016,0.000051055467,0.00005736052,0.00006377377],"domain_scores_gemma":[0.9989956,0.0002103358,0.0005903741,0.00003254684,0.0001227839,0.0000483752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046785732,0.00015715488,0.0001325256,0.00091687957,0.00045678116,0.0009493763,0.00018145029,0.00020088634,0.0017411313],"category_scores_gemma":[0.0010912779,0.00007071273,0.00027874255,0.0013667009,0.0003364809,0.000451193,0.00053970236,0.00025763916,0.00007412924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015061005,0.00007847959,0.9831633,0.00005826315,0.000097605734,0.00023905188,0.00047677808,0.0020479069,0.00080156245,0.0023319446,0.00064506166,0.009909399],"study_design_scores_gemma":[0.0000035114356,0.000049467613,0.9947324,0.000024841922,0.00003435743,0.00005071576,0.0009827256,0.0014568772,0.00028879874,0.00023963297,0.0021315115,0.0000052187133],"about_ca_topic_score_codex":0.082932495,"about_ca_topic_score_gemma":0.08167103,"teacher_disagreement_score":0.082932495,"about_ca_system_score_codex":0.0021592304,"about_ca_system_score_gemma":0.00086028525,"threshold_uncertainty_score":0.16489959},"labels":[],"label_agreement":null},{"id":"W6945027078","doi":"10.22004/ag.econ.343576","title":"Assessing COVID-19's Effects on Price Transmission and Volatility in the Canadian Beef Market","year":2024,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Transmission (telecommunications); Market price; Statistical analysis","score_opus":0.03545640593390125,"score_gpt":0.29358241156245857,"score_spread":0.2581260056285573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945027078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95828015,0.00033199566,0.0014808143,0.0016884113,0.000060540646,0.000088867695,0.007109759,0.00013875029,0.03082074],"genre_scores_gemma":[0.9865719,0.00018260023,0.0008016309,0.00018303924,0.000017355798,0.000029295494,0.0029051374,0.000055148295,0.009253844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759966,0.0006527783,0.000070668444,0.00023621837,0.0008890303,0.0005516052],"domain_scores_gemma":[0.9900782,0.0043812753,0.0009810657,0.0005006229,0.003063605,0.0009951809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004486644,0.0004464758,0.00034001935,0.0009795247,0.0016549204,0.0020064702,0.0009670956,0.00049490435,0.009452956],"category_scores_gemma":[0.022333348,0.00016583405,0.0007149636,0.001760918,0.00081178505,0.0006270258,0.0010347826,0.000844908,0.0006283916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016785333,0.0004803101,0.8461477,0.00011432162,0.00055692776,0.0002712019,0.0009671712,0.01861451,0.0017615261,0.012981986,0.023181243,0.09324458],"study_design_scores_gemma":[0.00006391719,0.0002641896,0.96203053,0.000031482014,0.00020737547,0.000033010147,0.0012816286,0.024089348,0.0010711912,0.0013559733,0.00951902,0.000052337662],"about_ca_topic_score_codex":0.96998703,"about_ca_topic_score_gemma":0.9696257,"teacher_disagreement_score":0.030012965,"about_ca_system_score_codex":0.016848223,"about_ca_system_score_gemma":0.017752688,"threshold_uncertainty_score":0.12224299},"labels":[],"label_agreement":null},{"id":"W6945109840","doi":"10.22004/ag.econ.264063","title":"Front Matter","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Front (military); Feature (linguistics); Front office","score_opus":0.026898718364088074,"score_gpt":0.27732809645623996,"score_spread":0.2504293780921519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945109840","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026191333,0.0011027326,0.0004976851,0.0034414814,0.0018764322,0.00009697039,0.0024811425,0.00085213874,0.9870322],"genre_scores_gemma":[0.0044848323,0.00061186234,0.00026866348,0.0011897059,0.0003216742,0.000021407723,0.0010668505,0.00011342238,0.99192166],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997025,0.000035739227,0.000016366574,0.00008563034,0.000075881064,0.00008389149],"domain_scores_gemma":[0.9990202,0.00009804805,0.000054258464,0.00006196044,0.0002092763,0.00055619836],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004498979,0.0010417878,0.0005970963,0.0010002656,0.0011173876,0.00209576,0.0006201465,0.0022742513,0.95324343],"category_scores_gemma":[0.001104566,0.00026314094,0.00039360917,0.0004932678,0.0006486372,0.0015702262,0.0017018603,0.001157526,0.91769475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001239315,0.00016356916,0.0022549457,0.00023128583,0.000011766504,0.00030496845,0.000089190056,0.00006541035,0.0009157128,0.0018271795,0.7715564,0.22245565],"study_design_scores_gemma":[0.00001932324,0.000033966553,0.003428448,0.00022111261,0.000005351657,0.00034981573,0.00019308034,0.00008506889,0.00011731169,0.00031054651,0.99522996,0.0000060445445],"about_ca_topic_score_codex":0.003673724,"about_ca_topic_score_gemma":0.0058787605,"teacher_disagreement_score":0.046756566,"about_ca_system_score_codex":0.00070075615,"about_ca_system_score_gemma":0.00076899753,"threshold_uncertainty_score":0.06669259},"labels":[],"label_agreement":null},{"id":"W6945150949","doi":"10.22004/ag.econ.144849","title":"Farm-to-Fork: A Proposed Revision of the Classical Food Miles Concept","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food supply; Greenhouse; Order (exchange); Greenhouse gas; Food processing","score_opus":0.04551442956484514,"score_gpt":0.24514659560014065,"score_spread":0.19963216603529552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945150949","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054677863,0.0040697986,0.35341313,0.0693549,0.011080182,0.00051771523,0.0014879325,0.0009974085,0.504401],"genre_scores_gemma":[0.6575043,0.00338378,0.19222954,0.019698212,0.0034710777,0.0011947213,0.0008296759,0.00081625266,0.120872416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9931879,0.0015608958,0.0004948399,0.001643368,0.0022485817,0.0008645129],"domain_scores_gemma":[0.99340385,0.0013764976,0.00050625525,0.0009260401,0.0030586105,0.0007287924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007327896,0.00074705447,0.00061285653,0.0022734152,0.0039904015,0.007315126,0.0047405474,0.0052372217,0.0077101747],"category_scores_gemma":[0.0103088785,0.00046374422,0.0012891662,0.0023845455,0.013519557,0.00979836,0.0043505104,0.0064234384,0.0018795407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027933294,0.000028521306,0.0008918367,0.000064423366,0.0000064530327,0.000105960615,0.0010394187,0.000577263,0.0002869432,0.9610909,0.015160524,0.02071989],"study_design_scores_gemma":[0.000024363371,0.00015882339,0.0044758352,0.00034706792,0.00002982419,0.0005030452,0.0027474102,0.0039195144,0.000506432,0.29391026,0.6932482,0.00012907879],"about_ca_topic_score_codex":0.024492593,"about_ca_topic_score_gemma":0.028552774,"teacher_disagreement_score":0.024492593,"about_ca_system_score_codex":0.005652566,"about_ca_system_score_gemma":0.009816419,"threshold_uncertainty_score":0.048700035},"labels":[],"label_agreement":null},{"id":"W6945161401","doi":"10.22004/ag.econ.208857","title":"Farmland Values and Credit Conditions","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Renting; Agriculture; Cash; Hay; Crop; Livestock","score_opus":0.06939275933476075,"score_gpt":0.24034376940341884,"score_spread":0.1709510100686581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945161401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585184,0.000194458,0.0001925719,0.00040372502,0.0000272204,0.000059897302,0.015092083,0.000027534883,0.025484132],"genre_scores_gemma":[0.9892211,0.00007413389,0.000121528275,0.00006639351,0.00001916058,0.000042349973,0.0057150717,0.0000055156474,0.004734733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994387,0.00009391183,0.00005885232,0.00009680536,0.00016069187,0.00015092466],"domain_scores_gemma":[0.99573034,0.00040472363,0.0021397714,0.00015815835,0.0005897478,0.0009772558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000594105,0.00014109765,0.00015220344,0.0010621914,0.0005883382,0.0012635184,0.00032577763,0.0003889778,0.016021967],"category_scores_gemma":[0.0042434363,0.0001170233,0.00018683172,0.0018003663,0.0004067293,0.0008049422,0.00070607045,0.00052959786,0.001901769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006202189,0.0000722798,0.989952,0.000016516482,0.000023008342,0.00004738204,0.00017590754,0.00027650475,0.00006640102,0.0002987731,0.0035750193,0.005434158],"study_design_scores_gemma":[0.0000019363347,0.000024878791,0.996739,0.000008015657,0.0000024554977,0.000034856166,0.00032566098,0.00013390539,0.00002798673,0.000078317484,0.0026187543,0.000004206857],"about_ca_topic_score_codex":0.018149456,"about_ca_topic_score_gemma":0.040822417,"teacher_disagreement_score":0.018149456,"about_ca_system_score_codex":0.0009041245,"about_ca_system_score_gemma":0.00039503307,"threshold_uncertainty_score":0.05359882},"labels":[],"label_agreement":null},{"id":"W6945196393","doi":"10.22004/ag.econ.102302","title":"Farmland Prices","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.05828497265013816,"score_gpt":0.19274181568647428,"score_spread":0.13445684303633612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945196393","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051084504,0.002918955,0.010014459,0.008156214,0.00077234517,0.000072970426,0.024199726,0.00042632312,0.90235454],"genre_scores_gemma":[0.2873401,0.0033735868,0.0027479103,0.0007632658,0.00025204112,0.00006871842,0.014446634,0.00011199851,0.6908958],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99977666,0.000021567766,0.000008358764,0.000043581964,0.00012505146,0.000024859646],"domain_scores_gemma":[0.9997644,0.000039269944,0.000033761273,0.000025943573,0.00010749589,0.000029236036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019687429,0.00024182486,0.00017494055,0.00048507864,0.00023636443,0.0016202751,0.00020990211,0.00051115046,0.047701273],"category_scores_gemma":[0.0010844154,0.00013593519,0.00019330051,0.00086887425,0.00015712957,0.0009619174,0.00023024314,0.0007133483,0.010587763],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029397948,0.00016354155,0.0155219035,0.00023582547,0.0000749187,0.0002512169,0.00022399126,0.0076986225,0.0039015529,0.2536581,0.3974049,0.32057145],"study_design_scores_gemma":[0.000042801774,0.00010209738,0.046066523,0.0000818988,0.000027175656,0.00018002477,0.00030902802,0.005020066,0.0017119984,0.041693155,0.90474427,0.000020912505],"about_ca_topic_score_codex":0.0093381535,"about_ca_topic_score_gemma":0.0176783,"teacher_disagreement_score":0.047701273,"about_ca_system_score_codex":0.0013083615,"about_ca_system_score_gemma":0.00082359405,"threshold_uncertainty_score":0.15957665},"labels":[],"label_agreement":null},{"id":"W6945248327","doi":"10.22004/ag.econ.289953","title":"Minimum Wage Increases in Ontario: Understanding the Significance in Horticulture","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Yield (engineering); Wage; Productivity; Production (economics); Work (physics)","score_opus":0.04991023204026591,"score_gpt":0.22109353986585667,"score_spread":0.17118330782559077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945248327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784798,0.00089069706,0.0002258427,0.004835248,0.000018876513,0.000024623889,0.0023710371,0.000011780175,0.013142144],"genre_scores_gemma":[0.99397606,0.00047747185,0.00018638009,0.00012655165,0.00001061953,0.000010005415,0.0003888108,0.000006446233,0.0048177717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995078,0.00005288159,0.000021777385,0.00005865741,0.0001213692,0.00023743568],"domain_scores_gemma":[0.9975556,0.00033966132,0.0005505505,0.000069748996,0.00080267555,0.00068162155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004785976,0.000109029286,0.00025215474,0.00074578414,0.00300008,0.0014322406,0.00085463346,0.0006372972,0.005274945],"category_scores_gemma":[0.003236991,0.00020584484,0.00021608516,0.0024593251,0.0008739762,0.0007220928,0.000762816,0.0005636901,0.00021682214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057234755,0.00011684495,0.9293766,0.00021158169,0.00004738188,0.00058061327,0.013135759,0.0013412427,0.0013178916,0.0073466953,0.010143613,0.035809495],"study_design_scores_gemma":[0.000012754059,0.000014711436,0.9862002,0.000034750887,0.000009764925,0.0000335027,0.006376401,0.0005863358,0.00009053911,0.0005111181,0.006119996,0.000009742323],"about_ca_topic_score_codex":0.9948933,"about_ca_topic_score_gemma":0.99892044,"teacher_disagreement_score":0.043171592,"about_ca_system_score_codex":0.043171592,"about_ca_system_score_gemma":0.035961684,"threshold_uncertainty_score":0.31323332},"labels":[],"label_agreement":null},{"id":"W6945272748","doi":"10.22004/ag.econ.136671","title":"Ag Letter","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agriculture; Period (music); Value (mathematics)","score_opus":0.02297637383080822,"score_gpt":0.19142793963363186,"score_spread":0.16845156580282364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945272748","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024982619,0.0024269354,0.00034581206,0.5889142,0.10721027,0.00013495788,0.00051870995,0.00045833807,0.29749253],"genre_scores_gemma":[0.013156882,0.00150839,0.000240415,0.39115772,0.019427082,0.000072556584,0.00024299922,0.00009923779,0.5740947],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995946,0.00007322569,0.00003918816,0.00009345285,0.000113452246,0.00008601796],"domain_scores_gemma":[0.9986987,0.0004042263,0.00005255589,0.00008627673,0.00052839133,0.00022985788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049397093,0.00042051947,0.0003965334,0.00038350138,0.0016289179,0.0018764175,0.00064431626,0.009349952,0.24058853],"category_scores_gemma":[0.0064911717,0.00026702086,0.00038833424,0.00020331392,0.0005182753,0.0010266496,0.0007372628,0.005458415,0.15034789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028598322,0.000027187145,0.00034914396,0.000018719482,0.0000022679485,0.00048289046,0.000027040918,0.000012710062,0.0000874362,0.0009866887,0.98854536,0.009431973],"study_design_scores_gemma":[0.000016050757,0.000021645299,0.00056388485,0.000058272562,0.0000025937215,0.00073327584,0.00011599055,0.00004579365,0.00008827134,0.0007909744,0.99755824,0.000005036742],"about_ca_topic_score_codex":0.0019588247,"about_ca_topic_score_gemma":0.003137112,"teacher_disagreement_score":0.24058853,"about_ca_system_score_codex":0.0007730725,"about_ca_system_score_gemma":0.0009517528,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W6945343899","doi":"10.22004/ag.econ.360646","title":"Economic Consequences of African Swine Fever: Strengthening U.S. Preparedness and Resilience","year":2025,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Computable general equilibrium; Preparedness; Welfare; Resilience (materials science); Psychological resilience; Economic impact analysis; Animal welfare; Market access","score_opus":0.01764715002087352,"score_gpt":0.24805227047567802,"score_spread":0.2304051204548045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945343899","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9021409,0.001280226,0.01281271,0.026520733,0.00025084047,0.00008965016,0.0008092983,0.00014130649,0.0559544],"genre_scores_gemma":[0.99690324,0.00044945622,0.001303629,0.0004163416,0.000014134857,0.000014208353,0.0000828376,0.0000069640823,0.0008090636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995517,0.0002329019,0.000010472517,0.000036472557,0.000037489688,0.0001309038],"domain_scores_gemma":[0.99953043,0.000115399045,0.000117273456,0.00003729867,0.000087167275,0.0001123995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100751,0.00044245526,0.00019934672,0.00050373323,0.0008490353,0.0016717304,0.0004341984,0.00097153446,0.0041602147],"category_scores_gemma":[0.0021962738,0.00012162455,0.0004322603,0.00047393766,0.0007935423,0.0015910805,0.0020459974,0.0006525052,0.00017879937],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047841299,0.0004543042,0.15744628,0.00026013269,0.00042520507,0.0019407109,0.0010082583,0.58347374,0.005427575,0.102821484,0.023785783,0.12247801],"study_design_scores_gemma":[0.00012825606,0.0009600613,0.122897856,0.0006258547,0.0002637065,0.00047856112,0.010207152,0.6177885,0.0026449119,0.1743637,0.069526926,0.000114503055],"about_ca_topic_score_codex":0.020821871,"about_ca_topic_score_gemma":0.02053662,"teacher_disagreement_score":0.020821871,"about_ca_system_score_codex":0.0021687185,"about_ca_system_score_gemma":0.0026142881,"threshold_uncertainty_score":0.041401327},"labels":[],"label_agreement":null},{"id":"W6945358065","doi":"10.22004/ag.econ.358855","title":"Production and Distribution of the Principal Agricultural Products of the World","year":2025,"lang":"en","type":"report","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); China; Agriculture; Population; Table (database); Kingdom","score_opus":0.027615354343483868,"score_gpt":0.22434803276053034,"score_spread":0.19673267841704647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945358065","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043077163,0.0056893555,0.000968345,0.00064119196,0.0009655495,0.00022446155,0.49130124,0.00058474165,0.456548],"genre_scores_gemma":[0.0856457,0.009514659,0.0032081394,0.0001903863,0.0004449346,0.00027498213,0.25072095,0.00037945813,0.64962083],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985385,0.00001366606,0.000015525924,0.000034260473,0.0000646665,0.00001800936],"domain_scores_gemma":[0.9997378,0.00004191725,0.00004347753,0.000026018948,0.000102382255,0.000048357615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013417158,0.00048554814,0.00022708255,0.002488649,0.00030943798,0.0006381569,0.0003185017,0.00013885813,0.09494431],"category_scores_gemma":[0.00047252912,0.0001651152,0.00016730861,0.005338572,0.00013460241,0.000430037,0.00032610263,0.00029487978,0.06116496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048925716,0.000107249456,0.023959132,0.0008093225,0.000032296422,0.00021948648,0.00036196213,0.00048967724,0.0045672595,0.0036108505,0.72281164,0.24254186],"study_design_scores_gemma":[0.000024672505,0.0000711022,0.1157531,0.0000954458,0.000009903165,0.00023492107,0.0002727095,0.00015778549,0.0008454929,0.00036287672,0.88216317,0.000008757818],"about_ca_topic_score_codex":0.014602064,"about_ca_topic_score_gemma":0.012730868,"teacher_disagreement_score":0.09494431,"about_ca_system_score_codex":0.0005230109,"about_ca_system_score_gemma":0.0008632907,"threshold_uncertainty_score":0.3176204},"labels":[],"label_agreement":null},{"id":"W6945383086","doi":"10.22004/ag.econ.154929","title":"Separação Entre Propriedade e Decisão de Gestão nas Cooperativas Agropecuárias Brasileiras","year":2012,"lang":"pt","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Corporate governance; Work (physics); Order (exchange); Property rights; Incentive","score_opus":0.04484504659250847,"score_gpt":0.24503912800358463,"score_spread":0.20019408141107614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945383086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85942316,0.0030742402,0.026333014,0.0016264297,0.000031822347,0.000106749845,0.0011926492,0.00017361135,0.108038224],"genre_scores_gemma":[0.9904845,0.00084913406,0.0038867793,0.00004612316,0.0000044925714,0.000028386808,0.00022412416,0.000016239665,0.0044602794],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987287,0.00034811327,0.00008524917,0.00033020697,0.00031618678,0.00019156805],"domain_scores_gemma":[0.9965371,0.0012822332,0.0005533521,0.00057737785,0.00079448766,0.00025549397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017146791,0.0004477109,0.00058828125,0.0012093794,0.0012487253,0.0036570674,0.00066735834,0.0004713603,0.005312757],"category_scores_gemma":[0.0046708854,0.00040501874,0.0007636845,0.0033495575,0.0019839911,0.0017271594,0.0014862282,0.00072080747,0.0004260153],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038002216,0.00019734175,0.5769978,0.0013258766,0.0004248329,0.0006918286,0.017608006,0.041769087,0.012168899,0.15556255,0.0040326826,0.18884099],"study_design_scores_gemma":[0.000047277885,0.00029263773,0.8274455,0.00081480586,0.00046543914,0.0004885542,0.018022126,0.040065747,0.0025082054,0.047397017,0.062315736,0.00013693911],"about_ca_topic_score_codex":0.20590024,"about_ca_topic_score_gemma":0.33630562,"teacher_disagreement_score":0.20590024,"about_ca_system_score_codex":0.005740473,"about_ca_system_score_gemma":0.0059655206,"threshold_uncertainty_score":0.40940356},"labels":[],"label_agreement":null},{"id":"W6963239974","doi":"10.22004/ag.econ.305978","title":"The Canadian Landbridge","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Perspective (graphical)","score_opus":0.018810928732251868,"score_gpt":0.18131569520460453,"score_spread":0.16250476647235265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963239974","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023999324,0.005180777,0.0005412492,0.024583831,0.0014236441,0.00006522354,0.004435628,0.00018189203,0.9611878],"genre_scores_gemma":[0.010952745,0.0017007306,0.00033466818,0.00091871165,0.00010869738,0.00001825285,0.0006645165,0.000053140942,0.9852486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795914,0.000108227054,0.000034230103,0.00025191132,0.0011753577,0.0004711139],"domain_scores_gemma":[0.9974189,0.00016699637,0.000049262264,0.00017904257,0.0016469028,0.0005389929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010263294,0.00081698754,0.00061577547,0.0030913667,0.009432306,0.008613519,0.0013665439,0.0030173396,0.26320696],"category_scores_gemma":[0.0037296733,0.00053501275,0.00066433236,0.0034774092,0.0018507281,0.001911622,0.0016116742,0.0021501745,0.030719785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002038946,0.000023127523,0.0010801614,0.000052895317,0.000006325366,0.00008190274,0.00013238257,0.00020612942,0.0000929052,0.09592018,0.85177094,0.05061262],"study_design_scores_gemma":[0.000002703344,0.0000025653299,0.0018167085,0.000042075135,0.000002320743,0.000012224879,0.00016237561,0.00009906824,0.000037200687,0.0015642176,0.9962507,0.000007896545],"about_ca_topic_score_codex":0.9620134,"about_ca_topic_score_gemma":0.9853153,"teacher_disagreement_score":0.26320696,"about_ca_system_score_codex":0.062050514,"about_ca_system_score_gemma":0.108899854,"threshold_uncertainty_score":0.880515},"labels":[],"label_agreement":null},{"id":"W6963392426","doi":"10.22004/ag.econ.348518","title":"Competitive management for export of roses from Mexico to Canada","year":2024,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Flowering Plant Growth and Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Production (economics); Agriculture; International market; Competitive advantage; Private sector; Market research; Agricultural productivity; Trade barrier; Domestic market; International comparisons","score_opus":0.019361088661945837,"score_gpt":0.1974731969383392,"score_spread":0.17811210827639337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963392426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95029205,0.0003809133,0.0003607873,0.0013525363,0.000012833149,0.00007954014,0.0005441562,0.000019520498,0.046957787],"genre_scores_gemma":[0.9840661,0.00042784904,0.00092162535,0.00013035984,0.0000052350215,0.000023261893,0.00050833315,0.000009207801,0.013907941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954635,0.00004158003,0.000008793754,0.000057293444,0.0001439647,0.00020200691],"domain_scores_gemma":[0.9992212,0.000096404394,0.00014978413,0.000023545694,0.00034795277,0.00016113918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052717,0.0002010446,0.00013351241,0.001253483,0.004963107,0.002848024,0.00063874293,0.00038762888,0.0077559114],"category_scores_gemma":[0.0016600088,0.00008910616,0.00023929412,0.0016001282,0.0006859164,0.0006691824,0.0008615067,0.0004454827,0.00024505152],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005963456,0.0003869765,0.6964698,0.0003707453,0.00008149205,0.0045759766,0.037110686,0.0015329722,0.0069647366,0.030799642,0.026507039,0.19460364],"study_design_scores_gemma":[0.000028436323,0.00019425586,0.7351301,0.0001901017,0.00007704551,0.0004948737,0.14968452,0.0035855162,0.0024530531,0.00077044364,0.107314736,0.00007692767],"about_ca_topic_score_codex":0.8879359,"about_ca_topic_score_gemma":0.94202983,"teacher_disagreement_score":0.11206412,"about_ca_system_score_codex":0.021111265,"about_ca_system_score_gemma":0.018053,"threshold_uncertainty_score":0.22544813},"labels":[],"label_agreement":null},{"id":"W6963401183","doi":"10.22004/ag.econ.241708","title":"Development of an Agricultural Biomaterial Industry in Ontario","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biomaterial; Agriculture; Production (economics); Raw material; Market place; Biological materials","score_opus":0.028796705433546607,"score_gpt":0.20090901034679415,"score_spread":0.17211230491324753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963401183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80630493,0.005505059,0.0012985701,0.0048359423,0.000050795326,0.00024233926,0.00064265064,0.00004895544,0.18107079],"genre_scores_gemma":[0.93889886,0.0063784127,0.0025136576,0.00032895608,0.000007731876,0.000029401424,0.00036768397,0.0000105348745,0.051464807],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993304,0.000049353566,0.00002094614,0.000042177322,0.0003346668,0.00022254064],"domain_scores_gemma":[0.9988279,0.00011204693,0.00018317858,0.000027568116,0.00048055238,0.00036876128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060900796,0.00016305949,0.0001024885,0.0013539218,0.0044109444,0.002070414,0.0003931166,0.0003450061,0.0036349902],"category_scores_gemma":[0.00067767623,0.0001780323,0.0002336804,0.0020013752,0.0011871408,0.00053511705,0.0009942581,0.00023733052,0.00027105873],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007029762,0.0004200093,0.38079613,0.0029277033,0.00009698139,0.015064145,0.041366562,0.0034241967,0.06140813,0.123353824,0.032890227,0.3375492],"study_design_scores_gemma":[0.000028864719,0.00029809185,0.45522702,0.00036759247,0.00005172354,0.0006879262,0.03194398,0.0017981441,0.008386713,0.002504031,0.49864593,0.000059922873],"about_ca_topic_score_codex":0.95130086,"about_ca_topic_score_gemma":0.98946685,"teacher_disagreement_score":0.052262142,"about_ca_system_score_codex":0.052262142,"about_ca_system_score_gemma":0.10460775,"threshold_uncertainty_score":0.37919015},"labels":[],"label_agreement":null},{"id":"W6963478711","doi":"10.22004/ag.econ.355319","title":"The Impact of Export Price Volatility on Market Behaviour in the International Export Market: A Case Study of Canadian and German Pork Exports in China","year":2024,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Market power; Leverage (statistics); China; Leverage effect; Autoregressive conditional heteroskedasticity; International market; Price elasticity of demand","score_opus":0.023675170209941306,"score_gpt":0.289194779586877,"score_spread":0.2655196093769357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963478711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976307,0.000053473,0.00008063425,0.00007072357,0.0000013410958,0.00000916831,0.00009311949,0.0000031810966,0.002057729],"genre_scores_gemma":[0.9985668,0.000109858665,0.00014500377,0.00001605758,0.000001963312,0.00000324835,0.00014006492,0.0000034432069,0.0010136686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996282,0.000059203183,0.000013257798,0.0000421668,0.00010620789,0.00015099776],"domain_scores_gemma":[0.99931896,0.00024087912,0.00012879701,0.000044072272,0.00016594215,0.000101398364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000773267,0.00034538622,0.00028334177,0.001249319,0.0020137269,0.0014759199,0.00052062544,0.0006134839,0.0014481988],"category_scores_gemma":[0.0015790339,0.00013197048,0.00047066444,0.0019147185,0.0010552699,0.00077449856,0.0006729856,0.00040644078,0.00011749134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034008478,0.00035549267,0.9148277,0.00012078464,0.00011171905,0.01087389,0.018611599,0.013749182,0.0027931149,0.006591223,0.0023772535,0.029247984],"study_design_scores_gemma":[0.000023739054,0.00015347819,0.9143451,0.000049596718,0.00007334437,0.00086279184,0.04452457,0.03131591,0.0013551284,0.0006696802,0.0065205344,0.00010620058],"about_ca_topic_score_codex":0.82244253,"about_ca_topic_score_gemma":0.83291423,"teacher_disagreement_score":0.17755747,"about_ca_system_score_codex":0.009409544,"about_ca_system_score_gemma":0.004382834,"threshold_uncertainty_score":0.35720623},"labels":[],"label_agreement":null},{"id":"W6963516918","doi":"10.22004/ag.econ.136735","title":"Ag Letter","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Renting; Loan; Agriculture; Cash; Land Values; Value (mathematics)","score_opus":0.025681507577190153,"score_gpt":0.2009899190079687,"score_spread":0.17530841143077855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963516918","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012463597,0.0014888676,0.0006122561,0.11165473,0.08343637,0.00020643367,0.0015946126,0.0013254823,0.79843485],"genre_scores_gemma":[0.0033561373,0.0005554274,0.00019356901,0.04979527,0.008046825,0.000057216595,0.0005523855,0.00021990207,0.9372232],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991103,0.00012522473,0.000063622116,0.00019000865,0.00034455906,0.00016625994],"domain_scores_gemma":[0.99712986,0.0005320744,0.00010657539,0.00022372238,0.0014261181,0.0005815743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008182411,0.0006301543,0.0004694526,0.00075208175,0.0019276682,0.0035161066,0.000852639,0.005628594,0.6041614],"category_scores_gemma":[0.0079526,0.00036378874,0.00041776992,0.00037289195,0.0005109658,0.0018504382,0.0015685523,0.0037991302,0.4742292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012291574,0.000013496526,0.0000982583,0.000013139871,6.362373e-7,0.000092525646,0.000014196252,0.000005970638,0.000041791773,0.00064416364,0.9888987,0.010164892],"study_design_scores_gemma":[0.0000052069227,0.000009693389,0.00020209185,0.000028917377,7.1910745e-7,0.00013519046,0.00005232601,0.00002083349,0.00003736595,0.0003527248,0.99915266,0.000002300161],"about_ca_topic_score_codex":0.0017953457,"about_ca_topic_score_gemma":0.0032267529,"teacher_disagreement_score":0.6041614,"about_ca_system_score_codex":0.0010502723,"about_ca_system_score_gemma":0.0016039365,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W6963553234","doi":"10.22004/ag.econ.305973","title":"The Canadian Rockies: A Case Study in Rail Modelling","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Identification (biology); Measure (data warehouse)","score_opus":0.03169510604482571,"score_gpt":0.2007146945817299,"score_spread":0.1690195885369042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963553234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8563355,0.00097400753,0.013897727,0.0037210372,0.00005372155,0.00021043025,0.0012907541,0.00017071304,0.12334615],"genre_scores_gemma":[0.9585426,0.00096717896,0.0093571115,0.00009505099,0.000012396093,0.000051426898,0.0004968266,0.00006805489,0.030409371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994531,0.00014517386,0.000012779291,0.00005223085,0.00013849733,0.0001982695],"domain_scores_gemma":[0.99909663,0.0004930874,0.00003898413,0.00004371811,0.00023111491,0.00009654086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007558531,0.00057837117,0.00043988466,0.0012070208,0.004555606,0.0029296973,0.0016249941,0.002279772,0.0073311473],"category_scores_gemma":[0.0029469568,0.00033329433,0.00067489187,0.0033141752,0.0014874714,0.0010623523,0.0008723085,0.0010291655,0.0003906409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000439658,0.00063995976,0.047784954,0.00034479826,0.000120540586,0.004519201,0.0065746154,0.66272527,0.0018214005,0.16028431,0.03173109,0.08301412],"study_design_scores_gemma":[0.00014728197,0.00023027758,0.05058628,0.00024671442,0.00018428251,0.00061206985,0.029727053,0.7747786,0.0018595624,0.017161895,0.12427573,0.0001902625],"about_ca_topic_score_codex":0.9819228,"about_ca_topic_score_gemma":0.99079883,"teacher_disagreement_score":0.02380843,"about_ca_system_score_codex":0.02380843,"about_ca_system_score_gemma":0.02383313,"threshold_uncertainty_score":0.17274308},"labels":[],"label_agreement":null},{"id":"W6963671859","doi":"10.22004/ag.econ.305969","title":"Structure of Road-User Taxes for Large Commercial Trucks in Canada","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Government (linguistics); Work (physics); Payment","score_opus":0.024668058938733684,"score_gpt":0.24861049827683726,"score_spread":0.22394243933810357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963671859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982865,0.00033326048,0.00052015885,0.0012075915,0.000013001925,0.000057527817,0.006492249,0.00006609487,0.0084451465],"genre_scores_gemma":[0.99230534,0.00010058114,0.00021248907,0.000052620977,0.0000027843023,0.000007803707,0.0012584117,0.000014580621,0.0060454565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873513,0.00011096055,0.000044223598,0.00013422975,0.0002618232,0.0007137123],"domain_scores_gemma":[0.9948218,0.0009778215,0.00040296,0.00013618883,0.0024319242,0.0012292891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000908375,0.00031283437,0.000922853,0.002497849,0.0022281224,0.0031216713,0.0021003906,0.0010401411,0.008037699],"category_scores_gemma":[0.0055322205,0.00072957214,0.0007827083,0.0032960596,0.0011523262,0.00086969964,0.0009152627,0.0012845963,0.0004914887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009177198,0.00049412483,0.6279542,0.0001341301,0.000396648,0.0007102279,0.0013438971,0.25292435,0.0013121987,0.054443378,0.036557186,0.022811854],"study_design_scores_gemma":[0.000080417936,0.00007196473,0.7831287,0.000053209405,0.00010564974,0.000101214544,0.0040814388,0.19824442,0.0005313963,0.0068939966,0.006580271,0.00012732955],"about_ca_topic_score_codex":0.9942238,"about_ca_topic_score_gemma":0.99752396,"teacher_disagreement_score":0.09057141,"about_ca_system_score_codex":0.09057141,"about_ca_system_score_gemma":0.045964587,"threshold_uncertainty_score":0.65714467},"labels":[],"label_agreement":null},{"id":"W6963685250","doi":"10.22004/ag.econ.351199","title":"La stabilisation des revenus agricoles au Québec et au Canada","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Government (linguistics); Agriculture; Order (exchange); Food security","score_opus":0.021704441652484124,"score_gpt":0.2102219987293767,"score_spread":0.18851755707689258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963685250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5258603,0.03147323,0.010418886,0.053845286,0.000822958,0.00029711286,0.008192815,0.0007385286,0.36835092],"genre_scores_gemma":[0.75039136,0.004808505,0.0055153286,0.0022812337,0.00007322189,0.000067889116,0.000983829,0.00006265982,0.23581594],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990596,0.00017428509,0.000021252992,0.00012159311,0.00033728452,0.00028603652],"domain_scores_gemma":[0.99805367,0.0002533287,0.00014431166,0.00005802455,0.0010851445,0.00040549197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010663327,0.00027408727,0.00024367296,0.00083643966,0.004067556,0.002531475,0.0006853751,0.0008704811,0.013302197],"category_scores_gemma":[0.0018403261,0.00020763271,0.00032316308,0.0010538071,0.001209031,0.000521391,0.00046301473,0.0012925133,0.00063962775],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079232646,0.00043254773,0.1220808,0.00079080684,0.00021422264,0.0012564348,0.00472514,0.015259125,0.018177165,0.2032932,0.18405007,0.44892812],"study_design_scores_gemma":[0.00010296202,0.00012966074,0.28487355,0.00026954303,0.0000392686,0.00017549288,0.002045827,0.006495975,0.002026239,0.002542987,0.7011945,0.0001039403],"about_ca_topic_score_codex":0.99604934,"about_ca_topic_score_gemma":0.9968426,"teacher_disagreement_score":0.06406369,"about_ca_system_score_codex":0.06406369,"about_ca_system_score_gemma":0.085410975,"threshold_uncertainty_score":0.4648168},"labels":[],"label_agreement":null},{"id":"W6963708459","doi":"10.22004/ag.econ.321026","title":"COVID 19 - Impacts and Implications for Canadian Meat &amp; Livestock Markets","year":2021,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Durvalumab","score_opus":0.0910610321520831,"score_gpt":0.2806624865643687,"score_spread":0.1896014544122856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963708459","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13905106,0.014893092,0.003106873,0.22647993,0.0026398345,0.00024389065,0.043423973,0.00032585172,0.56983554],"genre_scores_gemma":[0.79300535,0.013275932,0.002666627,0.015676988,0.0007342157,0.000094540446,0.007484224,0.00012838938,0.16693375],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99763167,0.00023808324,0.00003560837,0.00008839284,0.0010913841,0.00091487373],"domain_scores_gemma":[0.99601656,0.0005968964,0.00026421965,0.00008724172,0.0023638767,0.0006712069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024243041,0.0006239185,0.00042994454,0.0017679224,0.0030319013,0.005835041,0.0012039423,0.0020673296,0.028534964],"category_scores_gemma":[0.0075786794,0.00025359652,0.00096433854,0.0028262215,0.0015293894,0.0016208637,0.0012950875,0.002186499,0.0008529092],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033219042,0.00021164319,0.034681752,0.00023135183,0.00010157192,0.0005169528,0.00043758863,0.016209839,0.0005228978,0.30461654,0.58133936,0.06079835],"study_design_scores_gemma":[0.00019602041,0.00022116188,0.19463862,0.0007714296,0.00023328181,0.00020835959,0.008160788,0.041002937,0.0011490991,0.11728302,0.6358429,0.00029239286],"about_ca_topic_score_codex":0.9873695,"about_ca_topic_score_gemma":0.9898099,"teacher_disagreement_score":0.06471885,"about_ca_system_score_codex":0.06471885,"about_ca_system_score_gemma":0.07102344,"threshold_uncertainty_score":0.46957034},"labels":[],"label_agreement":null},{"id":"W6963726115","doi":"10.22004/ag.econ.182369","title":"Farmland Values and Credit Conditions","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Falling (accident); Land Values; Agriculture; Spring (device); Agricultural land","score_opus":0.020711971715257196,"score_gpt":0.20951898616547368,"score_spread":0.18880701445021647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963726115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651461,0.0002917728,0.00019377626,0.0013467452,0.000025994144,0.000029406612,0.00746293,0.000017396973,0.025485784],"genre_scores_gemma":[0.994783,0.0001192896,0.00006974723,0.00009378555,0.000016002166,0.000012990923,0.002284172,0.0000024554395,0.0026185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965405,0.000079123936,0.00003245407,0.000050690487,0.0000851425,0.00009861756],"domain_scores_gemma":[0.99649835,0.00033036308,0.0017509072,0.00008338975,0.00035699725,0.0009799866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043410528,0.000103227845,0.0000940515,0.0006741886,0.00052731,0.0010772588,0.00018932005,0.00043430686,0.01230694],"category_scores_gemma":[0.0032937857,0.00008800718,0.000109762834,0.0010661692,0.00033378848,0.0007151548,0.00049764756,0.0005365343,0.0010354291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051759835,0.00008040171,0.98680544,0.000014242183,0.000023403656,0.00007172058,0.00016160123,0.00046914569,0.00007253791,0.0008954182,0.0046481183,0.006706089],"study_design_scores_gemma":[0.0000032890114,0.00003260195,0.9950819,0.000013933518,0.0000030047258,0.000046491106,0.00045271314,0.00028134312,0.00003116417,0.00028234057,0.0037660655,0.0000052333576],"about_ca_topic_score_codex":0.024424959,"about_ca_topic_score_gemma":0.06555871,"teacher_disagreement_score":0.024424959,"about_ca_system_score_codex":0.0009440158,"about_ca_system_score_gemma":0.00041091378,"threshold_uncertainty_score":0.048565626},"labels":[],"label_agreement":null},{"id":"W6963759802","doi":"10.22004/ag.econ.236780","title":"Leadership in Sustainable Agribusiness, Innovation, and Solar Thermal Renewable Energy: Opportunities for Sustainable Agribusiness","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Gloom; Production (economics); Government (linguistics); Licensee","score_opus":0.06714554036268452,"score_gpt":0.20167587459819256,"score_spread":0.13453033423550803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963759802","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068499832,0.021933137,0.0025783563,0.8340542,0.023164688,0.000059198755,0.000069914546,0.00024073603,0.11104982],"genre_scores_gemma":[0.22591066,0.041963764,0.006383516,0.21329503,0.011827433,0.00014246008,0.00019355067,0.00026838566,0.50001526],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956416,0.0011269852,0.00011674179,0.0003874361,0.0012679194,0.0014592467],"domain_scores_gemma":[0.98533154,0.0010245463,0.00046558006,0.00014019161,0.00188555,0.011152528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004298349,0.00054855424,0.00037629477,0.00061335554,0.0050855735,0.008925238,0.0008586117,0.0026614189,0.023071814],"category_scores_gemma":[0.0040910235,0.00019899348,0.00030905116,0.000726138,0.0038307144,0.0052652312,0.0044053174,0.0074056913,0.006723763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003600839,0.00015154706,0.0017193918,0.00032343456,0.00001265876,0.00050361094,0.0045450684,0.0001378601,0.0012153413,0.07067513,0.8042107,0.116469204],"study_design_scores_gemma":[0.000011027633,0.00007228696,0.0009618263,0.00019138116,0.0000037759564,0.00020193493,0.0036441395,0.00009659605,0.00024278386,0.006420745,0.9881363,0.000017282518],"about_ca_topic_score_codex":0.0026149934,"about_ca_topic_score_gemma":0.006155634,"teacher_disagreement_score":0.023071814,"about_ca_system_score_codex":0.003887991,"about_ca_system_score_gemma":0.01110914,"threshold_uncertainty_score":0.07718295},"labels":[],"label_agreement":null},{"id":"W6963783686","doi":"10.22004/ag.econ.289941","title":"Understanding the Structure of Canadian Farm Incomes in the Design of Safety Net Programs","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Safety net; Production (economics); Government (linguistics); Work (physics); Net income; Agriculture","score_opus":0.0590780078803896,"score_gpt":0.20221545308037642,"score_spread":0.1431374451999868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963783686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9056329,0.0005228487,0.011391454,0.010451288,0.000025096188,0.00013153149,0.001341785,0.00005472971,0.070448466],"genre_scores_gemma":[0.99639785,0.00009329463,0.0010715405,0.00007052881,0.0000053910535,0.0000084991625,0.00007830009,0.0000066262287,0.0022679376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982054,0.0003370826,0.000030155104,0.00012673672,0.00031671385,0.0009838995],"domain_scores_gemma":[0.9949067,0.0019031325,0.00057861157,0.00012944682,0.0017900497,0.0006919383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025276863,0.00027966066,0.0004264326,0.0016808226,0.0027290443,0.0042252913,0.0010130381,0.0009363221,0.005564178],"category_scores_gemma":[0.015143659,0.0003783754,0.00029865038,0.0022256465,0.0019171159,0.0015501552,0.00097161176,0.0012275103,0.00015761545],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030322754,0.0001778404,0.24587701,0.00009965659,0.00013405937,0.00029627886,0.0025248632,0.27904516,0.0015556848,0.38097626,0.013547666,0.07546226],"study_design_scores_gemma":[0.000059152404,0.00012405092,0.4413199,0.00016236899,0.00017600463,0.00005869902,0.0106355455,0.3487397,0.0012348065,0.17541458,0.02196216,0.00011300373],"about_ca_topic_score_codex":0.94435424,"about_ca_topic_score_gemma":0.98107326,"teacher_disagreement_score":0.06357886,"about_ca_system_score_codex":0.06357886,"about_ca_system_score_gemma":0.045478933,"threshold_uncertainty_score":0.46129906},"labels":[],"label_agreement":null},{"id":"W6963786030","doi":"10.22004/ag.econ.348512","title":"Short-term employment transitions of the Canadian labour force: rural-urban differences in underemployment","year":2024,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Underemployment; Disadvantage; Rural area; Unemployment; Survey data collection; Inequality; Scale (ratio); Household income","score_opus":0.029631069988456406,"score_gpt":0.22143908938220516,"score_spread":0.19180801939374875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963786030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484926,0.0003895519,0.00006420167,0.00017483773,0.0000052093405,0.000027182336,0.0029762192,0.0000040577315,0.0015095365],"genre_scores_gemma":[0.9973008,0.0003020112,0.00007858952,0.000027118633,0.000002814326,0.000011410039,0.0014945898,0.000002256736,0.0007803629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993869,0.000041786334,0.000037236598,0.00007920017,0.00017519755,0.0002796089],"domain_scores_gemma":[0.99844104,0.00010395398,0.0004441175,0.000048279006,0.00047816552,0.000484559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006605148,0.0002523339,0.00026556963,0.0022559178,0.0021110855,0.0009947091,0.0010747557,0.00035509892,0.0023326755],"category_scores_gemma":[0.0023144512,0.00019563794,0.0004823327,0.004380604,0.00051042356,0.0004761944,0.0013140066,0.0005757984,0.00024441193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008854698,0.000031459058,0.99063957,0.000031158776,0.000031950563,0.000050574617,0.0023673384,0.00015021866,0.00017248394,0.00017137229,0.00047764575,0.0057876417],"study_design_scores_gemma":[0.0000013672114,0.000009118295,0.9981352,0.000008810589,0.0000044294484,0.00001196461,0.0012256493,0.000115644434,0.000018433238,0.000014070261,0.00045112733,0.000004114514],"about_ca_topic_score_codex":0.99015534,"about_ca_topic_score_gemma":0.99552476,"teacher_disagreement_score":0.010809155,"about_ca_system_score_codex":0.010809155,"about_ca_system_score_gemma":0.013889906,"threshold_uncertainty_score":0.07842624},"labels":[],"label_agreement":null},{"id":"W6963812999","doi":"10.22004/ag.econ.92602","title":"Discussion: Animal Identification Systems in North America: Achievements and Future Challenges","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Dysgeusia; Proteogenomics; Fusible alloy; Hyporeflexia; Articular cartilage damage","score_opus":0.021636149268839815,"score_gpt":0.21241189047517472,"score_spread":0.19077574120633492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963812999","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022097645,0.028776482,0.011171493,0.87917715,0.003975457,0.00012652615,0.00044692573,0.00031333423,0.05391495],"genre_scores_gemma":[0.58153737,0.09718967,0.058771424,0.18495522,0.008211579,0.0005986792,0.0019445705,0.00020483496,0.06658662],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99465644,0.0020243411,0.0003678723,0.00067150727,0.0014336688,0.0008460934],"domain_scores_gemma":[0.9793072,0.0066309944,0.0011129294,0.0009220155,0.010147985,0.0018789285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01906333,0.0004987417,0.0004169269,0.0015775566,0.0058091874,0.0069202827,0.0028393462,0.005261339,0.009390878],"category_scores_gemma":[0.014386386,0.00021640804,0.0004335478,0.0020676295,0.003870492,0.009943613,0.003333927,0.0035163723,0.0014588125],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016469535,0.00025618784,0.037949275,0.0024045869,0.00005772624,0.0005639818,0.009148359,0.0026824006,0.0019315355,0.10900698,0.26802087,0.5678134],"study_design_scores_gemma":[0.00002163232,0.00016196525,0.025597045,0.0019592845,0.000047270925,0.00063132215,0.050552104,0.0021287664,0.0018514438,0.047419775,0.8695359,0.00009351399],"about_ca_topic_score_codex":0.07767904,"about_ca_topic_score_gemma":0.09414874,"teacher_disagreement_score":0.07767904,"about_ca_system_score_codex":0.0075393557,"about_ca_system_score_gemma":0.022726338,"threshold_uncertainty_score":0.15445381},"labels":[],"label_agreement":null},{"id":"W6963846357","doi":"10.22004/ag.econ.339026","title":"2021-2022 Strategic Issues Survey of Food and Beverage Processors (Wave III)","year":2022,"lang":"en","type":"report","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Product (mathematics); Stakeholder; Food industry; Food processing; Key (lock); Beverage industry","score_opus":0.13020909502631678,"score_gpt":0.30202578620678533,"score_spread":0.17181669118046855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963846357","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102702804,0.0008091867,0.0007845099,0.019334804,0.0007261787,0.0027399533,0.69908875,0.00021073496,0.17360304],"genre_scores_gemma":[0.18320546,0.002502122,0.0028591785,0.01823618,0.0004272369,0.009747915,0.47266206,0.00017446832,0.31018528],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991935,0.00007884717,0.000029132781,0.000050689123,0.00037608368,0.0002717001],"domain_scores_gemma":[0.9965519,0.00025333642,0.0002828553,0.00007358679,0.002135496,0.00070276466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001819382,0.00030412115,0.00016562767,0.000932783,0.0010969818,0.0010233262,0.0005163926,0.000886891,0.015982045],"category_scores_gemma":[0.0028731946,0.00022663936,0.00017550796,0.0018450588,0.00011835369,0.000571612,0.0007015437,0.0007467766,0.009645848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008130053,0.00015798335,0.047333498,0.00017747848,0.000007703331,0.0000941503,0.0010119579,0.000073430136,0.00040849473,0.0005033837,0.9290961,0.021054497],"study_design_scores_gemma":[0.00004970925,0.00008629969,0.47318017,0.00022501466,0.000012148712,0.000060563954,0.007071258,0.00018480452,0.0005518717,0.00018668467,0.5183681,0.000023384873],"about_ca_topic_score_codex":0.35350907,"about_ca_topic_score_gemma":0.5144801,"teacher_disagreement_score":0.35350907,"about_ca_system_score_codex":0.0028152675,"about_ca_system_score_gemma":0.01020011,"threshold_uncertainty_score":0.7029028},"labels":[],"label_agreement":null},{"id":"W6963859675","doi":"10.22004/ag.econ.139638","title":"Beneficial Management Practice (BMP) Adoption -- Direct Farm Cost/Benefit Tradeoffs","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cropping; Forage; Production (economics); Agriculture; Gross margin; Perennial plant; Cropping system; Multiple cropping; Agricultural productivity","score_opus":0.03440278558804332,"score_gpt":0.23032709363487514,"score_spread":0.1959243080468318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963859675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901556,0.00010891741,0.0035498703,0.00012997312,0.0000032756232,0.00015030259,0.00024425963,0.00001890985,0.0056389114],"genre_scores_gemma":[0.99623245,0.00007543695,0.002959301,0.00002545333,0.000001402507,0.00006468101,0.0001078766,0.000004297802,0.0005290646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99666363,0.0019747014,0.00009558073,0.0002616704,0.0004403772,0.0005640745],"domain_scores_gemma":[0.9845663,0.012592168,0.001104226,0.00069256127,0.0007139761,0.00033087627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061574024,0.00044610928,0.00064532354,0.0007123177,0.00044768292,0.0014406753,0.0009478082,0.0010099077,0.0035486862],"category_scores_gemma":[0.018430673,0.0004268926,0.00074128964,0.0010918617,0.00060152484,0.0010600444,0.000773449,0.0007622681,0.00014400807],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091909873,0.00051748706,0.10156868,0.00014288916,0.00032252359,0.00020427816,0.0001534498,0.8541829,0.0031922678,0.010165586,0.0003350131,0.028295847],"study_design_scores_gemma":[0.00024808545,0.0022228567,0.16449215,0.000054810076,0.0004952313,0.00017278291,0.00068964396,0.8130202,0.0018253053,0.014702101,0.0020064309,0.00007027853],"about_ca_topic_score_codex":0.024567584,"about_ca_topic_score_gemma":0.07127297,"teacher_disagreement_score":0.024567584,"about_ca_system_score_codex":0.005285855,"about_ca_system_score_gemma":0.0022898375,"threshold_uncertainty_score":0.048849165},"labels":[],"label_agreement":null},{"id":"W6963986383","doi":"10.22004/ag.econ.142503","title":"Protectionism Indices for Non-Tariff Measures: An Application to Maximum Residue Levels","year":2013,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; U.S. Department of Agriculture","keywords":"Protectionism; Agriculture; Residue (chemistry); Pesticide residue; Food products; Technical barriers to trade; Winter wheat","score_opus":0.040367890331279056,"score_gpt":0.2614755015600947,"score_spread":0.22110761122881564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963986383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07322724,0.0016189263,0.89482516,0.0011537098,0.00022678995,0.00038240178,0.0023163843,0.00041187357,0.025837576],"genre_scores_gemma":[0.48428354,0.00063695543,0.5107226,0.00016142245,0.00029025407,0.00057158584,0.0017602827,0.00013763335,0.001435719],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9908546,0.0038069081,0.00090322876,0.0008903617,0.0032480918,0.00029680465],"domain_scores_gemma":[0.9734036,0.012520305,0.006333311,0.0043007247,0.0029965756,0.00044551695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012923422,0.0010034972,0.0009563099,0.0077880863,0.00092603406,0.0035202908,0.0012458296,0.00092913926,0.0027101326],"category_scores_gemma":[0.038858786,0.0003845893,0.0019478478,0.010421254,0.0019408024,0.004375917,0.0027200656,0.0028939864,0.00053513976],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001654121,0.00027679504,0.07780412,0.00057067064,0.00044271135,0.0002504508,0.0016428686,0.069800645,0.0033669332,0.45388848,0.008546451,0.38324443],"study_design_scores_gemma":[0.00005459311,0.0005055648,0.06264951,0.00049327424,0.00013395284,0.00043352693,0.0010016501,0.217292,0.004295965,0.6647503,0.048214804,0.0001749065],"about_ca_topic_score_codex":0.0016387337,"about_ca_topic_score_gemma":0.0014132949,"teacher_disagreement_score":0.012923422,"about_ca_system_score_codex":0.0020565034,"about_ca_system_score_gemma":0.0015944343,"threshold_uncertainty_score":0.06834638},"labels":[],"label_agreement":null},{"id":"W6964133345","doi":"10.22004/ag.econ.290704","title":"Use of a stochastic production frontier approach to examine gastrointestinal nematode management in beef cow-calf herds in Canada.","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Helminth infection and control","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Liquation; Diafiltration; Dysgeusia; Emperipolesis; Triacetin; Fusible alloy","score_opus":0.05512900999850764,"score_gpt":0.2457476838203666,"score_spread":0.19061867382185896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964133345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99160415,0.00020555292,0.0063267164,0.00021019622,0.0000054324914,0.00003348705,0.0005408031,0.000023206998,0.0010503668],"genre_scores_gemma":[0.99732107,0.000073587005,0.0018532873,0.000014363851,0.0000012633903,0.000010506794,0.0002151743,0.0000037153368,0.0005070823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996953,0.00013937341,0.000007544968,0.000044915374,0.000028995451,0.00008397861],"domain_scores_gemma":[0.99892575,0.0006717597,0.00009993715,0.000030876847,0.00013646351,0.00013521973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012391998,0.00034141284,0.0003337589,0.0006435605,0.00056635804,0.0007493882,0.0008097968,0.00046147848,0.00109845],"category_scores_gemma":[0.0028031215,0.00023982287,0.0003950233,0.00064608414,0.0004344971,0.0003021104,0.00038557773,0.00046093026,0.000069417634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026255916,0.0001465043,0.16604346,0.00005973654,0.00025918838,0.0002457722,0.00031527298,0.81328446,0.0009145601,0.0048657046,0.00096391584,0.012638811],"study_design_scores_gemma":[0.000013814309,0.00006733593,0.06278548,0.000009732844,0.000033380787,0.00001860229,0.0005363144,0.9351738,0.00008330673,0.0009348018,0.00033117557,0.000012369457],"about_ca_topic_score_codex":0.89741266,"about_ca_topic_score_gemma":0.8995017,"teacher_disagreement_score":0.10258734,"about_ca_system_score_codex":0.007828145,"about_ca_system_score_gemma":0.0060456507,"threshold_uncertainty_score":0.20638293},"labels":[],"label_agreement":null},{"id":"W6964310392","doi":"10.22004/ag.econ.345473","title":"AP - Strategic Alliances Come Together To Achieve Common Goals In A Regional Cluster Development Project","year":2007,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Cluster development; Cluster (spacecraft); Profit (economics); Regional development; Process (computing); Rural area","score_opus":0.06592596514641647,"score_gpt":0.2758820681477508,"score_spread":0.20995610300133433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964310392","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6161082,0.00062055985,0.014452298,0.015494263,0.00030382583,0.0032025941,0.00038853075,0.00037365546,0.3490561],"genre_scores_gemma":[0.7736612,0.00063554745,0.031920932,0.001045784,0.000028123051,0.0012528946,0.0006960633,0.00010488127,0.19065452],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782515,0.0009927293,0.00004481451,0.00014351396,0.00037156235,0.00062214874],"domain_scores_gemma":[0.9943494,0.0003214651,0.000106893596,0.00035605484,0.0011625952,0.003703502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005670373,0.0002766602,0.00014807831,0.0005930425,0.0064244615,0.0034447256,0.0013671063,0.0006710284,0.008490893],"category_scores_gemma":[0.0034694048,0.00026677173,0.0002155372,0.00090235675,0.0012963809,0.0016288311,0.008387359,0.0010895017,0.0013374303],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006577726,0.003490172,0.037553497,0.0005281804,0.000062278166,0.0034770593,0.10953688,0.007576373,0.0067809876,0.12721893,0.16195665,0.5411612],"study_design_scores_gemma":[0.00015104443,0.0008763522,0.020937622,0.00011911906,0.000032745593,0.00069427915,0.15415116,0.0025214488,0.002612623,0.007475395,0.81039023,0.000037868504],"about_ca_topic_score_codex":0.04682379,"about_ca_topic_score_gemma":0.12177326,"teacher_disagreement_score":0.04682379,"about_ca_system_score_codex":0.0048128967,"about_ca_system_score_gemma":0.028803775,"threshold_uncertainty_score":0.093102515},"labels":[],"label_agreement":null},{"id":"W6980318051","doi":"","title":"Bulk Handling of Paddy and Rice in Malaysia: an Economic Analysis","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut Penyelidikan dan Kemajuan Pertanian Malaysia; Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Incentive; Postharvest; Economic analysis; Economic impact analysis; Economic feasibility; Product (mathematics)","score_opus":0.04399061847247993,"score_gpt":0.24329540276984382,"score_spread":0.1993047842973639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980318051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468625,0.0003831846,0.000647764,0.0001294937,0.0000037129287,0.000031359657,0.00041878485,0.0000052518217,0.0036942482],"genre_scores_gemma":[0.9952081,0.0007330624,0.00067157415,0.000011975312,0.000003872192,0.000016558366,0.00030409623,0.000003888237,0.0030468088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974376,0.000086531734,0.000010447354,0.00003084119,0.000049490045,0.00007896029],"domain_scores_gemma":[0.9992772,0.00042376443,0.00012239661,0.000019988245,0.00006909917,0.000087662316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065083,0.0004816984,0.0002989743,0.001331703,0.00035446018,0.0013650521,0.000367745,0.00039085024,0.0022086515],"category_scores_gemma":[0.00079418876,0.00027281916,0.00073055766,0.0010548644,0.00037518312,0.00093323155,0.0005978918,0.0005835023,0.00019244206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034978834,0.0014458826,0.20699935,0.000809789,0.0003499982,0.0027831602,0.00048462232,0.68656313,0.008897616,0.03227464,0.0038803685,0.052013554],"study_design_scores_gemma":[0.000098841396,0.0018516978,0.20781474,0.00017361721,0.00022448738,0.00038855174,0.0028961268,0.7691929,0.0058318046,0.004617457,0.0067758397,0.00013400905],"about_ca_topic_score_codex":0.045096193,"about_ca_topic_score_gemma":0.05033824,"teacher_disagreement_score":0.045096193,"about_ca_system_score_codex":0.0044421605,"about_ca_system_score_gemma":0.0011935863,"threshold_uncertainty_score":0.08966738},"labels":[],"label_agreement":null},{"id":"W6980665924","doi":"","title":"Comparing U.S. and Canadian agricultural financial reporting standards (chart)","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Audit; Payment; Financial analysis","score_opus":0.10500129511937131,"score_gpt":0.3504084560729704,"score_spread":0.24540716095359907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980665924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43394247,0.0025016055,0.005512951,0.010972976,0.0005667232,0.00096147845,0.2439464,0.0010619669,0.30053344],"genre_scores_gemma":[0.8782116,0.0009853223,0.009046358,0.0011721944,0.00007052543,0.00021278566,0.07468931,0.00012498972,0.035486843],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98869133,0.0005708895,0.00056222425,0.0004301811,0.00852812,0.0012172787],"domain_scores_gemma":[0.9020868,0.004585696,0.005006111,0.0019534198,0.08400958,0.0023584394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073070307,0.0002501064,0.00022271834,0.009511038,0.0018915982,0.0036831133,0.0016770773,0.00047542833,0.0048613325],"category_scores_gemma":[0.039665133,0.0002066454,0.000427553,0.014695104,0.0005953855,0.00092225487,0.000783854,0.0005986311,0.00070902315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034944492,0.00014939139,0.43352106,0.00028244502,0.00010125544,0.00007066761,0.0013633949,0.0038590492,0.0008232406,0.036234364,0.38657022,0.1366755],"study_design_scores_gemma":[0.000025129917,0.00005030858,0.9108788,0.00013291051,0.00003705124,0.00002853369,0.0014973609,0.0020965717,0.0009463846,0.0007927084,0.08345862,0.000055659762],"about_ca_topic_score_codex":0.9883482,"about_ca_topic_score_gemma":0.9919882,"teacher_disagreement_score":0.959576,"about_ca_system_score_codex":0.040424015,"about_ca_system_score_gemma":0.07217717,"threshold_uncertainty_score":0.29329818},"labels":[],"label_agreement":null},{"id":"W6981523018","doi":"","title":"Empowering women to achieve food security","year":2001,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food security; Natural resource; Agriculture; Quarter (Canadian coin); Control (management); Consumption (sociology); Empowerment; Human resources","score_opus":0.11358737334499387,"score_gpt":0.40657201376454233,"score_spread":0.29298464041954847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981523018","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076977424,0.0045929668,0.0015354954,0.06513403,0.0011380257,0.00014480832,0.00014449915,0.00007146565,0.8502612],"genre_scores_gemma":[0.55707157,0.01092131,0.0032843219,0.017331209,0.00071873,0.00023894974,0.00013915947,0.000050028513,0.41024476],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954057,0.00020127863,0.000008560238,0.000021069322,0.00007078311,0.00015779118],"domain_scores_gemma":[0.99934596,0.00015596474,0.000079826445,0.000036800287,0.00009771171,0.0002837788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011877883,0.00016032065,0.00008222448,0.00038072403,0.0016766831,0.001489948,0.00023939363,0.00073942705,0.025765335],"category_scores_gemma":[0.0023222012,0.000081714286,0.000116984476,0.0003601704,0.00081971847,0.0011972168,0.0023072679,0.0008164859,0.0025979534],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006331919,0.0006621229,0.019538403,0.00023150077,0.000009535593,0.00053956313,0.025595132,0.00013694499,0.0013891618,0.08366623,0.28956926,0.5785989],"study_design_scores_gemma":[0.000025901118,0.000086520624,0.012779362,0.0003319214,0.000005806928,0.0004914063,0.015633512,0.00007542679,0.0003358144,0.011806153,0.9584217,0.000006316594],"about_ca_topic_score_codex":0.0031543209,"about_ca_topic_score_gemma":0.014071028,"teacher_disagreement_score":0.025765335,"about_ca_system_score_codex":0.00060968427,"about_ca_system_score_gemma":0.002091139,"threshold_uncertainty_score":0.08619362},"labels":[],"label_agreement":null},{"id":"W6982175762","doi":"","title":"Harvesting rough edges","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Liquation; Hyporeflexia; Hemopericardium; Demotion; Dysgeusia","score_opus":0.061852547198200346,"score_gpt":0.2223651215084859,"score_spread":0.16051257431028554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982175762","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29354858,0.00875435,0.03794159,0.008569553,0.007153171,0.0008460031,0.0063447813,0.0017297482,0.6351121],"genre_scores_gemma":[0.29418552,0.0047836476,0.03472337,0.0044319294,0.00079629663,0.00018690286,0.0060602888,0.0011227741,0.6537094],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996877,0.000023713565,0.000012716656,0.00008022119,0.00012911699,0.000066625806],"domain_scores_gemma":[0.99963915,0.000056595578,0.000041113228,0.000087151566,0.00009903039,0.00007699465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041850156,0.00046690257,0.00034222475,0.001396794,0.0018140363,0.0016213708,0.00045596066,0.0005835518,0.06554447],"category_scores_gemma":[0.0008941448,0.0002670448,0.00084861997,0.00093903666,0.0004554876,0.00087176054,0.0013248924,0.0012444746,0.031045178],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071997644,0.00054581737,0.012323719,0.00047876436,0.00008981409,0.00097192096,0.0011698471,0.00042901305,0.052439507,0.01195818,0.20212428,0.7167492],"study_design_scores_gemma":[0.000053173662,0.0005429376,0.06625694,0.0004569595,0.0000860193,0.0012510641,0.0030182807,0.00050459395,0.0087541025,0.0052945986,0.913717,0.000064470594],"about_ca_topic_score_codex":0.004917564,"about_ca_topic_score_gemma":0.023401111,"teacher_disagreement_score":0.06554447,"about_ca_system_score_codex":0.0004144538,"about_ca_system_score_gemma":0.0006173995,"threshold_uncertainty_score":0.21926808},"labels":[],"label_agreement":null},{"id":"W6982420264","doi":"","title":"The Impact of Climate Change on Canadian Agriculture: A Parcel Level Ricardian Analysis","year":2022,"lang":"en","type":"dissertation","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Agriculture; Climate variation; Sample (material); Global warming; Value (mathematics); Variation (astronomy)","score_opus":0.04441478193293063,"score_gpt":0.3072784378964028,"score_spread":0.26286365596347216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982420264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84641874,0.0062081153,0.012419303,0.004277833,0.00022150052,0.0003897177,0.05108557,0.00058155914,0.07839776],"genre_scores_gemma":[0.9667391,0.0019626564,0.004823725,0.00043691284,0.000045602104,0.00010782633,0.011237005,0.00011839922,0.014528708],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997792,0.00024589009,0.00007191253,0.00045214378,0.0008018557,0.00063617324],"domain_scores_gemma":[0.997609,0.00043884324,0.00027135617,0.00019753164,0.0012587047,0.0002245108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002020272,0.0006578599,0.00090368616,0.0040808874,0.0018717055,0.0020049557,0.001561133,0.00054981,0.008681302],"category_scores_gemma":[0.004839187,0.0002940199,0.0023668816,0.008230222,0.000729308,0.000634967,0.0020388754,0.0012503453,0.00059499324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017291117,0.000060732847,0.8791944,0.0003426748,0.003060525,0.00047618707,0.0017103186,0.019893605,0.0008628516,0.018077875,0.028801529,0.04734644],"study_design_scores_gemma":[0.000014108754,0.000046535788,0.9290173,0.00010086251,0.0009501076,0.00008901561,0.0022152034,0.02807162,0.00030306738,0.0015821377,0.03753446,0.00007569513],"about_ca_topic_score_codex":0.99008894,"about_ca_topic_score_gemma":0.985727,"teacher_disagreement_score":0.020014385,"about_ca_system_score_codex":0.020014385,"about_ca_system_score_gemma":0.02446328,"threshold_uncertainty_score":0.14521521},"labels":[],"label_agreement":null},{"id":"W6983348782","doi":"","title":"Medium Term Outlook for Canadian Agriculture 2011-2021","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Agriculture; Medium term; Climate change; Agricultural policy; Term (time); Baseline (sea); Benchmark (surveying)","score_opus":0.031899260882328626,"score_gpt":0.22083092776380342,"score_spread":0.18893166688147478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983348782","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008112538,0.020218834,0.00323738,0.020409737,0.00437182,0.000404746,0.50465924,0.0015262207,0.43705946],"genre_scores_gemma":[0.12695771,0.04970193,0.019501537,0.0063208123,0.0006025508,0.0007328795,0.51072234,0.0007720289,0.28468826],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796164,0.00007295618,0.000044336877,0.00007842089,0.0014814556,0.00036115636],"domain_scores_gemma":[0.9958984,0.00003930754,0.000066440145,0.000035090383,0.0036568667,0.00030381742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014588209,0.0011934321,0.0004828345,0.00415176,0.0029990147,0.003522558,0.0013992265,0.001011048,0.024437916],"category_scores_gemma":[0.002796175,0.0002554873,0.00071865,0.007046769,0.00032954142,0.0011346926,0.0010396284,0.0017752368,0.008592241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000800651,0.000021708118,0.002122861,0.0005127557,0.00003689451,0.00009438259,0.00009144908,0.0017278065,0.00036346182,0.014829772,0.9339197,0.046199165],"study_design_scores_gemma":[0.000009995962,0.0000098548135,0.008814414,0.00020150894,0.00001939611,0.000035384288,0.00014332113,0.0007473825,0.00016036822,0.0007773212,0.98904663,0.00003431477],"about_ca_topic_score_codex":0.98524135,"about_ca_topic_score_gemma":0.98721063,"teacher_disagreement_score":0.056862045,"about_ca_system_score_codex":0.056862045,"about_ca_system_score_gemma":0.11700923,"threshold_uncertainty_score":0.41256493},"labels":[],"label_agreement":null},{"id":"W6983359420","doi":"","title":"MASTERS THESES IN AGRICULTURAL ECONOMICS WESTERN U.S. STATES AND CANADIAN PROVINCES 1976-1977","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural productivity; Productivity; Government (linguistics)","score_opus":0.023666237355229776,"score_gpt":0.1912139336235086,"score_spread":0.16754769626827884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983359420","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051751994,0.0291959,0.0012036451,0.08671995,0.011595745,0.00037458012,0.1353133,0.00043272044,0.68341213],"genre_scores_gemma":[0.094492935,0.012919916,0.00072623737,0.00088313903,0.0007709174,0.00006939593,0.010774545,0.00006455951,0.8792982],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987696,0.00006944794,0.000046017296,0.0001089709,0.00059552485,0.0004104596],"domain_scores_gemma":[0.9919046,0.00050614896,0.00022553098,0.00019289805,0.0046717892,0.0024990386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001764075,0.0006842049,0.00074535,0.003925498,0.0049276124,0.002013335,0.0010584459,0.00072988163,0.10689721],"category_scores_gemma":[0.0047821207,0.00033658536,0.00043943117,0.00536293,0.0009471316,0.0010883356,0.00085800694,0.0011682977,0.010774154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007806651,0.00007562295,0.016984848,0.00026998046,0.000015607971,0.00008620892,0.0008032959,0.0008089575,0.00019451471,0.015914947,0.8823061,0.08246197],"study_design_scores_gemma":[0.000012620027,0.000023023766,0.1522748,0.00026067672,0.00001271806,0.000028297767,0.0018763721,0.00045604602,0.00022204597,0.0014224481,0.843393,0.000017919543],"about_ca_topic_score_codex":0.957054,"about_ca_topic_score_gemma":0.9890532,"teacher_disagreement_score":0.10689721,"about_ca_system_score_codex":0.04953435,"about_ca_system_score_gemma":0.11206552,"threshold_uncertainty_score":0.35939854},"labels":[],"label_agreement":null},{"id":"W6983486598","doi":"","title":"MINUTES OF THE ANNUAL BUSINESS MEETING, NORTHEASTERN AGRICULTURAL AND RESOURCE ECONOMICS ASSOCIATION, TRURO, NOVA SCOTIA, CANADA, JUNE 19, 1990","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Ion Channels and Receptors","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Nova (rocket); Resource (disambiguation); Nova scotia; Economic analysis; Economic impact analysis; Agribusiness; Mixed farming","score_opus":0.020077224373361995,"score_gpt":0.20495917895101473,"score_spread":0.18488195457765275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983486598","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025490845,0.06290302,0.0013086604,0.119243056,0.08968636,0.0010132256,0.03305569,0.0006821731,0.666617],"genre_scores_gemma":[0.006817953,0.005671012,0.0002119446,0.0014072695,0.0018171362,0.000054942924,0.0022150818,0.000058004684,0.98174655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996506,0.0000313362,0.000019432184,0.000050078874,0.00013671994,0.0001118279],"domain_scores_gemma":[0.99868983,0.00013418986,0.000044297398,0.000028419363,0.00064556976,0.00045769085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009280307,0.001003413,0.00070760626,0.0011467247,0.0028875552,0.0021204716,0.0005978702,0.002026871,0.14236662],"category_scores_gemma":[0.0017876194,0.0003715875,0.0003124585,0.0010480623,0.0004191723,0.0010321985,0.00075451704,0.0016914416,0.062340904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011967889,0.00002654639,0.0007892467,0.000044220804,0.000003221972,0.000046355864,0.00004989991,0.000047097405,0.00014436389,0.00025470427,0.98788655,0.010588134],"study_design_scores_gemma":[0.000025147483,0.000040221796,0.016084218,0.000092147835,0.000008606379,0.000032862936,0.0003736981,0.000111507194,0.000094849245,0.00015155983,0.9829747,0.000010576954],"about_ca_topic_score_codex":0.26033896,"about_ca_topic_score_gemma":0.6447881,"teacher_disagreement_score":0.73966104,"about_ca_system_score_codex":0.0036191721,"about_ca_system_score_gemma":0.0045595556,"threshold_uncertainty_score":0.51764727},"labels":[],"label_agreement":null},{"id":"W6986850449","doi":"","title":"Retaining Financial Capital for Rural Community Development: A Case Study of the Town of Olds, Alberta","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Financial capital; Local currency; Capital (architecture); Investment (military); Local community; Rural community; Community development; Social capital; Currency","score_opus":0.06655489450866219,"score_gpt":0.3012845338159703,"score_spread":0.2347296393073081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986850449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99056786,0.0001793611,0.000151718,0.0008321703,0.000014285063,0.000038854316,0.000022279644,0.0000037230675,0.008189828],"genre_scores_gemma":[0.9933877,0.00041649732,0.00034618954,0.00019463313,0.000007814722,0.000019253617,0.000019202806,0.00000387079,0.005604795],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9989851,0.00035716902,0.000012704132,0.000051750347,0.00014555396,0.00044764587],"domain_scores_gemma":[0.99908876,0.00024762796,0.000064789485,0.000032487602,0.00011272955,0.00045358384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009359417,0.00038778837,0.00028017972,0.00092567585,0.01599371,0.0023250808,0.0016848769,0.0010613783,0.00232363],"category_scores_gemma":[0.0013223006,0.00023521745,0.00014542429,0.0014443714,0.004032139,0.00072130666,0.0026787836,0.0012241779,0.00014942877],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013307443,0.0008438989,0.077819884,0.0002176803,0.000024381441,0.043892343,0.7983915,0.00085920584,0.0021693225,0.015990278,0.00552239,0.054136],"study_design_scores_gemma":[0.0000072962243,0.00010482427,0.029138274,0.000091190755,0.000013994909,0.0012513703,0.95005345,0.00038628344,0.00019432185,0.00061091175,0.018130003,0.000018077886],"about_ca_topic_score_codex":0.7590658,"about_ca_topic_score_gemma":0.94793427,"teacher_disagreement_score":0.2409342,"about_ca_system_score_codex":0.016031977,"about_ca_system_score_gemma":0.01621519,"threshold_uncertainty_score":0.48470616},"labels":[],"label_agreement":null},{"id":"W6987774711","doi":"","title":"Understanding Canada/ United States Dairy Disputes","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Government (linguistics); State (computer science); Work (physics); Negotiation","score_opus":0.09570928770347142,"score_gpt":0.23942276864748507,"score_spread":0.14371348094401365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987774711","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12715971,0.004659908,0.008223407,0.06483162,0.00022531886,0.000079212565,0.0005442337,0.000056948127,0.7942197],"genre_scores_gemma":[0.96302706,0.0023187487,0.0027546815,0.0023638192,0.000056020494,0.00002741618,0.00020269622,0.000034528104,0.02921502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967914,0.0006767206,0.000088465065,0.00027163303,0.0008891076,0.0012827519],"domain_scores_gemma":[0.9955237,0.0019153355,0.00038767073,0.0001708053,0.0015328793,0.00046958675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041138385,0.0004582249,0.0004242856,0.0031295056,0.015493774,0.02112498,0.0025867317,0.004611739,0.012672937],"category_scores_gemma":[0.009850261,0.00033673365,0.00046941816,0.0043190923,0.011798941,0.0069882525,0.0031603184,0.0038933817,0.0005828347],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024901732,0.000029693703,0.004180545,0.0000630358,0.000011960203,0.00029884573,0.035055704,0.002374859,0.00012059454,0.91574264,0.020180574,0.021916598],"study_design_scores_gemma":[0.000028245617,0.0000106670395,0.010324829,0.00046520345,0.00004561732,0.00016705212,0.20828392,0.0069146026,0.0003090528,0.38631973,0.3870754,0.00005567711],"about_ca_topic_score_codex":0.97631514,"about_ca_topic_score_gemma":0.980906,"teacher_disagreement_score":0.089807265,"about_ca_system_score_codex":0.089807265,"about_ca_system_score_gemma":0.09467917,"threshold_uncertainty_score":0.65160036},"labels":[],"label_agreement":null},{"id":"W6988073505","doi":"","title":"Wheat in the World Economy. A Guide to Wheat Studies of the Food Research Institute - Part I. Abstracts A. Developments in the wheat world, 1923-24 to 1943-44","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bushel; Purchasing power; Crop; Agriculture; Government (linguistics); Consumption (sociology); Wheat flour","score_opus":0.1779721661697296,"score_gpt":0.39439372048369686,"score_spread":0.21642155431396726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6988073505","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076539686,0.90113586,0.0008200956,0.022598403,0.0070909765,0.00010473783,0.0029421987,0.00015881305,0.06438355],"genre_scores_gemma":[0.007570805,0.80910903,0.0024381112,0.008623045,0.0060386257,0.0002690517,0.004132548,0.00016556522,0.16165316],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995115,0.00013720429,0.00007147478,0.00007370257,0.00014978192,0.000056397523],"domain_scores_gemma":[0.99936503,0.0001899859,0.000073780655,0.00004575783,0.00016796941,0.00015753164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015203304,0.0026358112,0.0011962736,0.0058115064,0.001393641,0.0039009931,0.0013260626,0.0017931449,0.032942563],"category_scores_gemma":[0.0010892765,0.0010854319,0.0005934869,0.009623808,0.0014792532,0.007067539,0.0019966615,0.004425316,0.024600256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019315667,0.00011696685,0.00090358726,0.00057281245,0.0000075555304,0.00006896195,0.0008773107,0.00008982958,0.00015764996,0.012102022,0.86394626,0.12113764],"study_design_scores_gemma":[0.0000059683116,0.000021659529,0.0023445596,0.0009086787,0.000002952171,0.000069401445,0.0005467886,0.00003336981,0.00002919538,0.0035472303,0.99248356,0.000006573187],"about_ca_topic_score_codex":0.02519421,"about_ca_topic_score_gemma":0.03777471,"teacher_disagreement_score":0.032942563,"about_ca_system_score_codex":0.0027170288,"about_ca_system_score_gemma":0.003184183,"threshold_uncertainty_score":0.11020386},"labels":[],"label_agreement":null},{"id":"W6989005193","doi":"","title":"ABSTRACTS OF SELECTED PAPERS: WAEA MEETINGS, JULY 7-9, 1985, SASKATOON, CANADA","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Pandemic; Agency (philosophy)","score_opus":0.00973610225509477,"score_gpt":0.1795353453508754,"score_spread":0.16979924309578062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989005193","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021185718,0.15874755,0.0018902026,0.019809792,0.106616296,0.0017738211,0.070232786,0.00063829485,0.6191056],"genre_scores_gemma":[0.0090672625,0.01777848,0.00037975088,0.0005446922,0.0023486794,0.00010846593,0.00837791,0.00010249642,0.9612923],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994199,0.000035623245,0.000032956043,0.00006808622,0.0002918612,0.0001514429],"domain_scores_gemma":[0.99703264,0.00012577088,0.00008164624,0.00003673044,0.0021986067,0.0005245951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010397829,0.001615582,0.0009478602,0.00418342,0.0024154396,0.0024340728,0.0011827946,0.00097401603,0.27386504],"category_scores_gemma":[0.0020285829,0.00031931774,0.00062807905,0.0066587836,0.0004054932,0.00075338443,0.0009728822,0.00069798285,0.08096001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002588792,0.000043505093,0.00070876407,0.0003631115,0.000017667679,0.00007936936,0.000049883456,0.00012389124,0.0005187016,0.00015078705,0.9689409,0.02874447],"study_design_scores_gemma":[0.000033162745,0.000042067255,0.013125956,0.00045339533,0.000035207686,0.000022858136,0.00034171893,0.000066091074,0.0004648432,0.00015767272,0.98524565,0.000011483221],"about_ca_topic_score_codex":0.29426846,"about_ca_topic_score_gemma":0.650005,"teacher_disagreement_score":0.7057315,"about_ca_system_score_codex":0.007656692,"about_ca_system_score_gemma":0.011645671,"threshold_uncertainty_score":0.9161698},"labels":[],"label_agreement":null},{"id":"W6991146101","doi":"","title":"Foreign Agricultural Trade of the United States January 1963","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Agriculture; Latin Americans; Fell; Developed country; Foreign exchange; Terms of trade; Balance of trade","score_opus":0.03430108930980837,"score_gpt":0.21258247764616364,"score_spread":0.17828138833635526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991146101","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004658236,0.014441812,0.000107143765,0.003942588,0.004695994,0.000027749385,0.0069428436,0.00015762096,0.96502596],"genre_scores_gemma":[0.026981486,0.014465037,0.0002942681,0.0012788106,0.0009255416,0.000041285708,0.0063289506,0.00007841251,0.94960624],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99979943,0.000014443859,0.00001627337,0.00004418535,0.00008437496,0.000041213643],"domain_scores_gemma":[0.9997713,0.000022281925,0.000025739695,0.000026461552,0.00012270684,0.000031507054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002326722,0.0005744551,0.0002029858,0.0018890098,0.0013365034,0.0032455097,0.00026442588,0.00074604317,0.095063895],"category_scores_gemma":[0.00067334675,0.0001890527,0.00021884176,0.0030364867,0.0003089513,0.0008485464,0.00067588664,0.0008585091,0.051878154],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011824404,0.00004545351,0.0036552388,0.0001954563,0.000011988541,0.00031206335,0.00021533192,0.00017112786,0.00047770605,0.02185213,0.84717274,0.12577252],"study_design_scores_gemma":[0.0000029312725,0.0000044864364,0.0027657337,0.00006912906,0.0000019656845,0.00003823091,0.000043801538,0.000025621042,0.000076753946,0.00022655938,0.99674314,0.0000016868961],"about_ca_topic_score_codex":0.047696687,"about_ca_topic_score_gemma":0.06578056,"teacher_disagreement_score":0.095063895,"about_ca_system_score_codex":0.0029329765,"about_ca_system_score_gemma":0.0022423838,"threshold_uncertainty_score":0.3180204},"labels":[],"label_agreement":null},{"id":"W6991376588","doi":"","title":"1990 Front Matter: Fourth Quarter","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Front (military); Quarter (Canadian coin); Window (computing); Front line; Period (music)","score_opus":0.03186303411928678,"score_gpt":0.27715191896455166,"score_spread":0.24528888484526487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991376588","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00902751,0.002265583,0.00025130282,0.013570062,0.005981576,0.00014965732,0.007145889,0.0006193039,0.9609892],"genre_scores_gemma":[0.004024304,0.00070120406,0.00006381145,0.001204897,0.0003935314,0.000032225882,0.00077094795,0.000104242725,0.9927049],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948967,0.00003562821,0.0000288298,0.00014126927,0.00012597458,0.0001786213],"domain_scores_gemma":[0.99797565,0.00036438895,0.00012414828,0.00013446041,0.00078075845,0.0006205397],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007331165,0.0018724959,0.0010641773,0.0016368172,0.00229311,0.004450917,0.00089668465,0.005029788,0.83940256],"category_scores_gemma":[0.002356411,0.0006567154,0.0006751733,0.0013020756,0.0013146569,0.0021521675,0.0014960086,0.0019347278,0.79176944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003200529,0.0002665114,0.0046551214,0.0003010604,0.000018678324,0.00019619898,0.000113622096,0.00014715365,0.00086051703,0.0026907062,0.85894006,0.13149029],"study_design_scores_gemma":[0.00005860896,0.0000707533,0.009157761,0.00023896122,0.000018311372,0.00013451622,0.00034066036,0.00019891265,0.00035145698,0.00038044166,0.98903733,0.000012454018],"about_ca_topic_score_codex":0.014168856,"about_ca_topic_score_gemma":0.017230209,"teacher_disagreement_score":0.16059744,"about_ca_system_score_codex":0.0020782126,"about_ca_system_score_gemma":0.0027267586,"threshold_uncertainty_score":0.22907269},"labels":[],"label_agreement":null},{"id":"W6992737464","doi":"","title":"Measuring the impact of international migration and remittances for Latin America","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Computable general equilibrium; Emigration; Tariff; General equilibrium theory; Developing country; Baseline (sea); Rest (music); Virtuous circle and vicious circle","score_opus":0.05701733218769188,"score_gpt":0.3139595095524594,"score_spread":0.2569421773647675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992737464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662008,0.00060427986,0.011678899,0.0009003215,0.000035946858,0.00005834545,0.0025684552,0.00018865762,0.017764248],"genre_scores_gemma":[0.99191976,0.0003533024,0.0049392097,0.000053924843,0.000008123681,0.00004139572,0.0013532246,0.000038473605,0.0012925412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99924195,0.0003929322,0.00003320696,0.00010288268,0.00011179904,0.00011713802],"domain_scores_gemma":[0.9987447,0.00058833975,0.00024648587,0.00015685656,0.00019474611,0.000068761095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020301088,0.00072050013,0.00041842178,0.0011298938,0.00026621835,0.0012141718,0.0006936309,0.0006113141,0.0020932814],"category_scores_gemma":[0.004982246,0.0002031405,0.0008650487,0.0028091471,0.00044678038,0.0016771643,0.0012231977,0.00062683964,0.00022902428],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006278609,0.00030804117,0.29860502,0.00040419295,0.0005738098,0.00068330707,0.0010576042,0.5964244,0.0046548485,0.047686674,0.0033810383,0.04559321],"study_design_scores_gemma":[0.000110200126,0.0010056458,0.33274207,0.00015310077,0.00036952624,0.0004143944,0.0052724197,0.5951336,0.007969981,0.034868546,0.021828998,0.00013154194],"about_ca_topic_score_codex":0.047647264,"about_ca_topic_score_gemma":0.024914043,"teacher_disagreement_score":0.047647264,"about_ca_system_score_codex":0.0024663904,"about_ca_system_score_gemma":0.0009918965,"threshold_uncertainty_score":0.094739854},"labels":[],"label_agreement":null},{"id":"W6992800480","doi":"","title":"Modelling Non-Tariff Barriers as an Exporter Cost","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Limiting; Articular cartilage damage; Work (physics); Circumstantial evidence","score_opus":0.10082372102982491,"score_gpt":0.22758514197425891,"score_spread":0.126761420944434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992800480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3362069,0.0010871306,0.5884775,0.0023536808,0.00018927817,0.0003250527,0.00092632684,0.00021215776,0.07022185],"genre_scores_gemma":[0.9427544,0.0007066949,0.028453188,0.00015849016,0.000049654835,0.00018968247,0.0002378262,0.00011398105,0.027336102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989297,0.00044931963,0.000049644706,0.0001908092,0.00021392514,0.00016670265],"domain_scores_gemma":[0.9952739,0.0031260818,0.0006674312,0.0004517455,0.00031776368,0.00016318416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023054334,0.0010636309,0.0007119366,0.0011578855,0.0004088801,0.0034562899,0.0022857785,0.0023911644,0.009961349],"category_scores_gemma":[0.009269695,0.0006880462,0.0015183367,0.0013715514,0.0012986028,0.004161345,0.0014449395,0.0026741987,0.00071004115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005457428,0.00009623627,0.003405934,0.00012558867,0.00006253798,0.0002257259,0.00021349687,0.6414865,0.0008829364,0.34249043,0.0010538773,0.00990213],"study_design_scores_gemma":[0.000040774547,0.00013218111,0.004073636,0.00007745438,0.00009272542,0.00015759171,0.00023309856,0.8186114,0.00052385946,0.16631903,0.0096738525,0.00006448078],"about_ca_topic_score_codex":0.007618163,"about_ca_topic_score_gemma":0.0050504724,"teacher_disagreement_score":0.009961349,"about_ca_system_score_codex":0.0020515244,"about_ca_system_score_gemma":0.0013191703,"threshold_uncertainty_score":0.033324003},"labels":[],"label_agreement":null},{"id":"W6992876811","doi":"","title":"Melting Ice Caps: Implications for Asia-North America Linkages and the Panama Canal","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Panama canal; Arctic; Arctic ice pack; The arctic; Geopolitics; Lead (geology); East Asia","score_opus":0.05903442322176093,"score_gpt":0.30584281366579374,"score_spread":0.2468083904440328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992876811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917747,0.0029181445,0.0009139231,0.008447012,0.000056398032,0.000019158768,0.00026362948,0.000013014854,0.06962166],"genre_scores_gemma":[0.99429905,0.001873526,0.00025809047,0.00019247452,0.00002515245,0.000009380633,0.000064857115,0.00000450928,0.003272995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998497,0.000038252976,0.000004245886,0.000022111652,0.000023105527,0.00006246875],"domain_scores_gemma":[0.9995171,0.00009406532,0.00020091682,0.000008733564,0.00006756146,0.00011166762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003127252,0.00020761609,0.00013252156,0.00069570437,0.0010873605,0.003016561,0.00033323874,0.00065971236,0.012005105],"category_scores_gemma":[0.00091690844,0.00010996304,0.00030857392,0.0015862784,0.0011265107,0.0018863578,0.0012363773,0.00057996425,0.00020152422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002544115,0.00019274297,0.6760479,0.00022107408,0.00012760119,0.0035628765,0.007535841,0.018161613,0.0021689255,0.23426959,0.0077580404,0.049699355],"study_design_scores_gemma":[0.000036753663,0.00021586809,0.69749004,0.0005793,0.00024551153,0.0012978682,0.092018954,0.022691948,0.0014316471,0.08588206,0.09803682,0.000073305186],"about_ca_topic_score_codex":0.06335931,"about_ca_topic_score_gemma":0.13018498,"teacher_disagreement_score":0.06335931,"about_ca_system_score_codex":0.0024273493,"about_ca_system_score_gemma":0.0020265586,"threshold_uncertainty_score":0.12598103},"labels":[],"label_agreement":null},{"id":"W6995493388","doi":"","title":"An Overview of the Canadian Agriculture and Agri-Food System","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Agriculture; Sustainable Agriculture Innovation Network; Government (linguistics); Commodity; Food systems; Snapshot (computer storage); Public policy","score_opus":0.06551100753754827,"score_gpt":0.2336922184466926,"score_spread":0.16818121090914434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995493388","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017780831,0.17156045,0.004494546,0.03260957,0.0017254645,0.0007972404,0.09061153,0.0009999578,0.6794204],"genre_scores_gemma":[0.22321285,0.40632346,0.03783578,0.0074057844,0.00065415585,0.0006539494,0.06038546,0.0005132619,0.26301533],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961282,0.00020717933,0.00013767401,0.00024886164,0.002545572,0.00073255645],"domain_scores_gemma":[0.9966987,0.000107051965,0.00009282113,0.0000522465,0.0027417,0.00030752047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014375739,0.0009886388,0.0004123887,0.011777398,0.0053823595,0.0055077537,0.0013486434,0.0008391704,0.018479452],"category_scores_gemma":[0.002020271,0.0004546679,0.00055392366,0.030578937,0.0009009289,0.0016275768,0.0011056251,0.0009965773,0.0023139622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00006832081,0.000050316354,0.013608244,0.002476476,0.00006622228,0.00038913605,0.0014724829,0.0036041774,0.0009951002,0.08944026,0.57812023,0.30970907],"study_design_scores_gemma":[0.0000034960653,0.0000118857315,0.027865443,0.0004297307,0.00001533599,0.00006449659,0.00076327095,0.00031622054,0.00009887869,0.0011164185,0.9692758,0.00003898865],"about_ca_topic_score_codex":0.9960104,"about_ca_topic_score_gemma":0.9972887,"teacher_disagreement_score":0.86093843,"about_ca_system_score_codex":0.1390616,"about_ca_system_score_gemma":0.2007531,"threshold_uncertainty_score":0.9985665},"labels":[],"label_agreement":null},{"id":"W6995619471","doi":"","title":"Outlook for U.S. Agricultural Trade","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agribusiness; Terms of trade; Exportation; Forecast period","score_opus":0.04693126453725627,"score_gpt":0.23309386941218352,"score_spread":0.18616260487492725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995619471","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009229786,0.028359583,0.0013989717,0.01568007,0.009684441,0.00011602087,0.34311348,0.0026930769,0.58972466],"genre_scores_gemma":[0.053945754,0.038430825,0.0033952754,0.0048458823,0.0014225165,0.0004010412,0.30054137,0.00047735864,0.59654],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976975,0.00001720626,0.00001132337,0.000029794408,0.00012678954,0.0000451061],"domain_scores_gemma":[0.9994097,0.00002032605,0.000041917843,0.000014201459,0.00042682455,0.000087047425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033782658,0.0015781071,0.00033683365,0.0019316117,0.00061665796,0.0019179974,0.00051326083,0.0009634528,0.08309233],"category_scores_gemma":[0.00065247883,0.00022742295,0.00042737022,0.0035859614,0.00012172885,0.0019515649,0.0005981905,0.001607547,0.08890536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000418948,0.000015525236,0.0007895562,0.00011144959,0.000006710171,0.000029435152,0.000013898455,0.00015217758,0.00010542561,0.0015317468,0.96426404,0.032938167],"study_design_scores_gemma":[0.000013469207,0.00003044018,0.008396676,0.00018654483,0.000008749098,0.00006568065,0.00014771865,0.00020980863,0.00011865429,0.0010466806,0.9897653,0.000010295712],"about_ca_topic_score_codex":0.043607358,"about_ca_topic_score_gemma":0.04700334,"teacher_disagreement_score":0.08309233,"about_ca_system_score_codex":0.0016746926,"about_ca_system_score_gemma":0.0030836114,"threshold_uncertainty_score":0.27797157},"labels":[],"label_agreement":null},{"id":"W6995749291","doi":"","title":"Perspectives on 21st Century Agriculture: A Tribute to Walter J. Armbruster","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tribute; Public policy; Agricultural policy; Agriculture; Food systems; Public good; Faith","score_opus":0.0294063359547651,"score_gpt":0.2308991042104999,"score_spread":0.20149276825573478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995749291","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021601649,0.07829938,0.00030592133,0.8828102,0.024984974,0.0000080785485,0.000045926245,0.000019994048,0.013309614],"genre_scores_gemma":[0.021583796,0.18759152,0.0020642206,0.54423577,0.07430917,0.0001220487,0.00012617261,0.00023389532,0.16973352],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959162,0.0015654404,0.00014477369,0.0006364359,0.0012745986,0.00046260122],"domain_scores_gemma":[0.9934681,0.0035213083,0.00031401782,0.00023240811,0.001118991,0.001345295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062445872,0.0011221243,0.0010533755,0.0018071076,0.0060270657,0.009797434,0.0020850096,0.008492416,0.018886445],"category_scores_gemma":[0.009086973,0.0005287205,0.0006256943,0.0027997755,0.009552796,0.012756497,0.004462383,0.014462702,0.006232727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000133021795,0.000020851166,0.00011805422,0.00010495725,0.000004006082,0.00006153881,0.001213841,0.000052245596,0.00005192932,0.046457235,0.9386576,0.013244452],"study_design_scores_gemma":[0.0000024282585,0.0000043652044,0.000093450544,0.00018530845,9.1875467e-7,0.000036625228,0.0008261419,0.000015018655,0.000011244828,0.011494971,0.98732376,0.000005716379],"about_ca_topic_score_codex":0.010792364,"about_ca_topic_score_gemma":0.015548281,"teacher_disagreement_score":0.018886445,"about_ca_system_score_codex":0.005187517,"about_ca_system_score_gemma":0.008170228,"threshold_uncertainty_score":0.06318146},"labels":[],"label_agreement":null},{"id":"W6995991648","doi":"","title":"Public Policy and Growth in Canada: An Applied Endogeneous Growth Model with Human and Knowledge Capital Accumulation","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Public policy; Subsidy; Context (archaeology); Productivity; Public capital; Technological change; Government (linguistics); Investment (military)","score_opus":0.10036141469801117,"score_gpt":0.2304573506060638,"score_spread":0.13009593590805263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995991648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74727786,0.0039075916,0.06820579,0.032413274,0.0004080593,0.00045464147,0.011845337,0.0007397097,0.13474773],"genre_scores_gemma":[0.95213646,0.002289241,0.0066549242,0.00043412254,0.00007954547,0.00015386079,0.0013952326,0.00004738168,0.036809225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990403,0.00019252798,0.000023428303,0.00014923493,0.00014077267,0.0004537165],"domain_scores_gemma":[0.9974936,0.00088353,0.0003955523,0.000090300295,0.0007489296,0.00038816512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645412,0.0013882833,0.0016801049,0.001997106,0.0030477145,0.00432697,0.00291065,0.003119175,0.006302058],"category_scores_gemma":[0.004508286,0.0005893947,0.0012748829,0.0031405047,0.0026080417,0.0013043166,0.0025027227,0.002326881,0.0005525344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002582556,0.0001703979,0.01846792,0.000095604795,0.00010196664,0.00051286985,0.0006171904,0.7436302,0.00051168125,0.21715015,0.00852064,0.009963034],"study_design_scores_gemma":[0.00021332942,0.00006740973,0.0074571846,0.000060106486,0.0001525235,0.000058395537,0.0008069189,0.9492872,0.00022932372,0.030562844,0.011007802,0.00009691082],"about_ca_topic_score_codex":0.9740559,"about_ca_topic_score_gemma":0.947882,"teacher_disagreement_score":0.04596035,"about_ca_system_score_codex":0.04596035,"about_ca_system_score_gemma":0.04129404,"threshold_uncertainty_score":0.33346725},"labels":[],"label_agreement":null},{"id":"W6995995129","doi":"","title":"Price Spreads and Shipment Costs in the Wheat Export Trade of Canada","year":2017,"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":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Production (economics); Government (linguistics); Terms of trade","score_opus":0.028141569169279474,"score_gpt":0.19352599898020267,"score_spread":0.1653844298109232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995995129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938101,0.00061376224,0.000084043655,0.00063045823,0.000007271766,0.000004697957,0.0018664821,0.000009681722,0.002973506],"genre_scores_gemma":[0.99556386,0.00036994563,0.000055392702,0.000030895793,0.000006221252,0.0000013780636,0.0008992119,0.0000060429466,0.0030671428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997534,0.000013161343,0.000017676775,0.000038628335,0.000098904566,0.00007822085],"domain_scores_gemma":[0.99749243,0.0006923803,0.0005915452,0.00006664925,0.0008197182,0.0003371912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004167906,0.00019945679,0.0002601485,0.001538818,0.0012219715,0.002572267,0.0006147763,0.00070921064,0.004994217],"category_scores_gemma":[0.0042458973,0.00026199216,0.00041812315,0.0031990756,0.00063953025,0.0008895365,0.0006012199,0.0010834777,0.00024153775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092851545,0.00013468583,0.9193418,0.00008524149,0.00023221386,0.0010447347,0.0018066046,0.03051825,0.0013637994,0.01090964,0.008132486,0.025501886],"study_design_scores_gemma":[0.000024459006,0.000023313498,0.9736516,0.000028739007,0.00006785388,0.00010907956,0.00237965,0.018289693,0.0003063343,0.0011829172,0.0038917728,0.00004454628],"about_ca_topic_score_codex":0.9867905,"about_ca_topic_score_gemma":0.9904705,"teacher_disagreement_score":0.025368335,"about_ca_system_score_codex":0.025368335,"about_ca_system_score_gemma":0.008295344,"threshold_uncertainty_score":0.18406099},"labels":[],"label_agreement":null},{"id":"W6997339336","doi":"","title":"Welfare Impacts of Climate Change on Agriculture: Evidence from Over 1, 000 Yield Studies","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Climate change; Damages; Yield (engineering); Welfare; Agriculture; Economic impact analysis; Global warming; Crop yield","score_opus":0.17281608027531703,"score_gpt":0.30025132145325634,"score_spread":0.1274352411779393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997339336","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14730205,0.83332795,0.005553773,0.0029473526,0.00031021822,0.00017338435,0.0053088255,0.00011316646,0.0049634064],"genre_scores_gemma":[0.6484813,0.34104487,0.0031988504,0.0018313287,0.0004307333,0.0002650197,0.0041689775,0.000115653675,0.00046312917],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9856069,0.0073913247,0.0020232527,0.0026732981,0.0020259444,0.00027927398],"domain_scores_gemma":[0.87359065,0.09108901,0.019673586,0.008692325,0.006269475,0.0006849002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034283955,0.0019505918,0.0030052327,0.006415856,0.00062753214,0.003291621,0.0013758804,0.0014743942,0.002985956],"category_scores_gemma":[0.069278955,0.0008590271,0.012392343,0.010569267,0.0018688259,0.002376536,0.003282679,0.0017908564,0.0004421203],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006029931,0.00047968802,0.25896508,0.061478283,0.37359926,0.00043443765,0.0008795966,0.008965013,0.0012163724,0.0034396406,0.0055546905,0.27895802],"study_design_scores_gemma":[0.0007509228,0.0021098515,0.47292775,0.028448448,0.43870455,0.000552329,0.00083453296,0.0022044752,0.0019212086,0.012082068,0.0392411,0.00022271865],"about_ca_topic_score_codex":0.006587681,"about_ca_topic_score_gemma":0.005604368,"teacher_disagreement_score":0.034283955,"about_ca_system_score_codex":0.001948025,"about_ca_system_score_gemma":0.0016279666,"threshold_uncertainty_score":0.18131304},"labels":[],"label_agreement":null},{"id":"W6998500232","doi":"","title":"American Importation of Canadian Wheat","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Quality (philosophy); Agriculture; Population","score_opus":0.031186276319984663,"score_gpt":0.25284759349821556,"score_spread":0.2216613171782309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998500232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72910476,0.0011751978,0.00020005216,0.0057400586,0.00017278992,0.000022775524,0.0010248391,0.00001850006,0.2625411],"genre_scores_gemma":[0.9292767,0.0010023742,0.00018152494,0.0005924214,0.000023252836,0.0000035267035,0.0002592947,0.000010961019,0.06864989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992822,0.000051555413,0.000012138167,0.00006464636,0.00029910792,0.00029031784],"domain_scores_gemma":[0.9987532,0.00008850841,0.000096458905,0.0000452501,0.0008386904,0.0001779979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064772693,0.0001623751,0.00013931595,0.0013340712,0.008578211,0.0022444532,0.0003786269,0.0005467857,0.008523319],"category_scores_gemma":[0.0014717389,0.00010593001,0.00013999899,0.0031839951,0.0011205523,0.00054820144,0.00094360445,0.001274966,0.00033806206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006051474,0.00016851912,0.27777502,0.00038349707,0.00008486444,0.003012056,0.15071498,0.00048051635,0.005094115,0.20855896,0.15342489,0.19969746],"study_design_scores_gemma":[0.000006839801,0.00004335525,0.37369514,0.000121905956,0.000034947894,0.00035510524,0.056503136,0.00024817637,0.0009402064,0.0009319559,0.5670744,0.000044855933],"about_ca_topic_score_codex":0.9840524,"about_ca_topic_score_gemma":0.9960227,"teacher_disagreement_score":0.026951756,"about_ca_system_score_codex":0.026951756,"about_ca_system_score_gemma":0.024552671,"threshold_uncertainty_score":0.1955496},"labels":[],"label_agreement":null},{"id":"W6998644765","doi":"","title":"Agricultural Programs - Uses and Limitations: A Canadian Perspective","year":2022,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Agriculture; Government (linguistics); Agricultural productivity","score_opus":0.05258851245170016,"score_gpt":0.2061011104001992,"score_spread":0.15351259794849906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998644765","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053837582,0.059747677,0.0021895678,0.4411254,0.0006582157,0.0001320375,0.0043976316,0.00007516902,0.43783677],"genre_scores_gemma":[0.81757474,0.08861652,0.005827455,0.040159974,0.0005380356,0.000104754836,0.0010255872,0.0001092627,0.04604363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.98972285,0.0016320103,0.00040130698,0.00057441357,0.004659507,0.003009833],"domain_scores_gemma":[0.98031425,0.0047626137,0.0011182978,0.00030970265,0.010886579,0.002608646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008028015,0.00084003445,0.0009734385,0.007975045,0.009370242,0.013236262,0.0038996395,0.0044552055,0.008833099],"category_scores_gemma":[0.01665394,0.000583366,0.0010742382,0.013103599,0.0070334054,0.0044923793,0.0029017294,0.005463307,0.0003072869],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001419007,0.00015989631,0.022889124,0.0011224964,0.00016663509,0.0007175048,0.0058441116,0.0034100905,0.00058264734,0.786992,0.088772014,0.089201555],"study_design_scores_gemma":[0.000083405925,0.000082503895,0.075360216,0.0043421974,0.0004796216,0.00039983712,0.024386946,0.004072783,0.0006524197,0.077216536,0.81254256,0.00038111745],"about_ca_topic_score_codex":0.9954477,"about_ca_topic_score_gemma":0.9982665,"teacher_disagreement_score":0.17225672,"about_ca_system_score_codex":0.17225672,"about_ca_system_score_gemma":0.26914033,"threshold_uncertainty_score":0.9600649},"labels":[],"label_agreement":null},{"id":"W6999081128","doi":"","title":"Border Crossing for Trucks Twenty Three Years after NAFTA","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Welfare; Counterfactual thinking; Computable general equilibrium; Liberalization; Truck; Economic impact analysis; Cost–benefit analysis; Free trade agreement","score_opus":0.03828311095438998,"score_gpt":0.312822278046,"score_spread":0.27453916709161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999081128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97211313,0.00070280244,0.0006928227,0.0014955667,0.00006777186,0.000035102657,0.001193129,0.000018495632,0.023681184],"genre_scores_gemma":[0.982865,0.0009799171,0.00063475256,0.00023395533,0.000025087,0.000044690394,0.0015414862,0.000010462994,0.013664721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952877,0.00010781024,0.000014021744,0.000059419013,0.00013471846,0.00015514891],"domain_scores_gemma":[0.99891055,0.00029509785,0.00028231333,0.000054260527,0.00035806384,0.00009968642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009407462,0.00016013578,0.00017059717,0.0006553062,0.0017997005,0.0017367069,0.00031931227,0.0007251743,0.0034883537],"category_scores_gemma":[0.003857232,0.00011281383,0.00031683387,0.001334739,0.00052697764,0.0008865277,0.0007600116,0.0007505825,0.00029846138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022582267,0.0011998395,0.55333924,0.0005182165,0.00044778708,0.0029767214,0.020126,0.019736843,0.004355013,0.06322131,0.05116342,0.28065735],"study_design_scores_gemma":[0.000086356056,0.0011063294,0.73330635,0.00042312132,0.00022471246,0.00040819152,0.0391608,0.0057772337,0.0037013916,0.007575661,0.20814265,0.00008724619],"about_ca_topic_score_codex":0.09558257,"about_ca_topic_score_gemma":0.21013212,"teacher_disagreement_score":0.90441746,"about_ca_system_score_codex":0.0047163432,"about_ca_system_score_gemma":0.0019858114,"threshold_uncertainty_score":0.19005245},"labels":[],"label_agreement":null},{"id":"W6999117727","doi":"","title":"Canada as a Producer and Exporter of Wheat","year":2017,"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":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Quality (philosophy); Yield (engineering); Productivity; Agriculture","score_opus":0.025821705482459583,"score_gpt":0.18958931302640017,"score_spread":0.1637676075439406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999117727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73887646,0.008764543,0.0005904894,0.07077987,0.0006280508,0.00009933464,0.01209666,0.00014287788,0.1680217],"genre_scores_gemma":[0.846115,0.007466219,0.0007603655,0.0031316332,0.000077896846,0.000011853436,0.0021320565,0.000041893072,0.14026317],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994653,0.00003885674,0.000010433085,0.000051718616,0.00021426429,0.00021939291],"domain_scores_gemma":[0.9978269,0.00014037835,0.00019033934,0.000027163826,0.0008884834,0.0009268117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036233608,0.00017594679,0.00022868125,0.0012438608,0.0046220403,0.0022581029,0.00043027665,0.0007979011,0.010524935],"category_scores_gemma":[0.0012698337,0.00016466896,0.00021914222,0.0026868954,0.00058982853,0.0009291357,0.0006576261,0.0010358691,0.0005029871],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041784978,0.00026943622,0.5110323,0.00040655938,0.000116386225,0.0050377008,0.009779543,0.0008329064,0.0027909474,0.044362523,0.30144882,0.12350504],"study_design_scores_gemma":[0.000061252336,0.00010120515,0.45607707,0.00032380383,0.00015091435,0.0013477558,0.03783765,0.0025042808,0.001266957,0.0017738468,0.4984608,0.000094477444],"about_ca_topic_score_codex":0.99310327,"about_ca_topic_score_gemma":0.9982407,"teacher_disagreement_score":0.023073576,"about_ca_system_score_codex":0.023073576,"about_ca_system_score_gemma":0.0770842,"threshold_uncertainty_score":0.16741133},"labels":[],"label_agreement":null},{"id":"W6999553233","doi":"","title":"COVER AND CONTENTS PAGES","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Royal Bank of Canada","keywords":"Cover (algebra); Section (typography); Hydrology (agriculture); Table of contents","score_opus":0.102614987042239,"score_gpt":0.22445727017773287,"score_spread":0.12184228313549388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999553233","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041656112,0.0028772529,0.00058391975,0.0025098,0.015048076,0.00027248205,0.0052389475,0.00127675,0.9717762],"genre_scores_gemma":[0.00064205396,0.0009881752,0.00018132152,0.0005430453,0.0022929683,0.00006140697,0.0015427704,0.0002998258,0.99344844],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943525,0.00003788771,0.000026106603,0.00010553973,0.00032033323,0.000074788295],"domain_scores_gemma":[0.99758625,0.00026001077,0.00010095657,0.00019822044,0.0010942905,0.0007602415],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004675087,0.0013329979,0.0014219709,0.003310271,0.0017228713,0.0062957555,0.0010836805,0.0020863635,0.8861926],"category_scores_gemma":[0.0036702834,0.0005291288,0.00094676175,0.003467453,0.00044927179,0.0027699685,0.0014671659,0.0016270874,0.8681248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020076712,0.000036385514,0.00005406004,0.00008384634,0.0000017825093,0.000020241374,0.000003655798,0.000043820593,0.00023944782,0.00056024897,0.96719766,0.031738743],"study_design_scores_gemma":[0.0000135210075,0.000020099129,0.00061144866,0.00007214647,0.00000305054,0.000028114944,0.000017455382,0.00006146018,0.00010770829,0.00064904767,0.9984102,0.0000057785933],"about_ca_topic_score_codex":0.00268357,"about_ca_topic_score_gemma":0.0039913454,"teacher_disagreement_score":0.11380738,"about_ca_system_score_codex":0.001236113,"about_ca_system_score_gemma":0.001639977,"threshold_uncertainty_score":0.16233242},"labels":[],"label_agreement":null},{"id":"W6999910083","doi":"","title":"Distribution of the Varieties and Classes of Wheat in the U.S. in 1969","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Variety (cybernetics); Agriculture; Cultivar; Margin (machine learning)","score_opus":0.018278712157871645,"score_gpt":0.21663259182619304,"score_spread":0.1983538796683214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999910083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.884934,0.0023910059,0.000298678,0.0011266536,0.00017694398,0.00007540105,0.06631497,0.00011815901,0.044564158],"genre_scores_gemma":[0.94809306,0.0022962312,0.0005812535,0.00038529487,0.000056224253,0.000050236562,0.02709616,0.000024067154,0.021417584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975175,0.000020158734,0.000026131514,0.00006544661,0.00006191848,0.000074541495],"domain_scores_gemma":[0.9994985,0.00002427315,0.0001516949,0.00001886924,0.00013963865,0.00016699845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016031835,0.00027812214,0.000114940165,0.001587674,0.0006925519,0.0005791208,0.00027212713,0.00022605168,0.006796141],"category_scores_gemma":[0.0003570348,0.00016051643,0.00015935497,0.0031933754,0.00025063346,0.00040143376,0.00052542856,0.000441457,0.0025201004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032346888,0.00013620815,0.89379656,0.00015278235,0.000040550523,0.00050312455,0.0020737695,0.00019900061,0.00618105,0.002120848,0.033348497,0.0611241],"study_design_scores_gemma":[0.0000053096087,0.000033872344,0.9680082,0.00003351982,0.000003916643,0.00018005453,0.0010954908,0.00007198847,0.00024288999,0.000062267034,0.030256888,0.000005692935],"about_ca_topic_score_codex":0.07934883,"about_ca_topic_score_gemma":0.16865316,"teacher_disagreement_score":0.07934883,"about_ca_system_score_codex":0.00076794456,"about_ca_system_score_gemma":0.00050221843,"threshold_uncertainty_score":0.15777391},"labels":[],"label_agreement":null},{"id":"W6999960204","doi":"","title":"The Economic Benefits of Fungicides in Canadian Horticulture","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fungal Plant Pathogen Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","score_opus":0.020764894655243688,"score_gpt":0.19705350228235485,"score_spread":0.17628860762711115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999960204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91944367,0.026072392,0.0002813191,0.005099395,0.000099506506,0.00005281385,0.0018226888,0.000026645464,0.047101554],"genre_scores_gemma":[0.9836602,0.0064759618,0.0002525977,0.00020557267,0.000012134556,0.000004893872,0.00032624757,0.000003755226,0.009058635],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994122,0.00005422289,0.000012206267,0.00003254433,0.00029097684,0.00019795209],"domain_scores_gemma":[0.99880016,0.00009843114,0.00010729589,0.00001575221,0.0006911913,0.00028722498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050478586,0.00030252428,0.00017532278,0.0010685408,0.0018880644,0.0014797956,0.00053756277,0.00040513618,0.00283691],"category_scores_gemma":[0.0009815693,0.000082654646,0.00024171606,0.0012968595,0.0007163894,0.00028113095,0.00029381172,0.00047805705,0.00011098625],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007374392,0.00090597157,0.30068973,0.0011940813,0.00032846179,0.0015588267,0.0013987791,0.0070600114,0.081295565,0.018052893,0.027144924,0.5529964],"study_design_scores_gemma":[0.00007828111,0.0005325642,0.8978897,0.00018863958,0.00022859137,0.00018372473,0.0038463688,0.0024247398,0.0109870965,0.0008983567,0.08268467,0.000057306544],"about_ca_topic_score_codex":0.97269297,"about_ca_topic_score_gemma":0.99450135,"teacher_disagreement_score":0.044339407,"about_ca_system_score_codex":0.044339407,"about_ca_system_score_gemma":0.0275969,"threshold_uncertainty_score":0.3217064},"labels":[],"label_agreement":null},{"id":"W7000509955","doi":"","title":"Foreign Agricultural Trade of the United States September/October 1981","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Soviet union; European union; Fiscal year; Agricultural productivity","score_opus":0.034984122986005645,"score_gpt":0.21754212638780426,"score_spread":0.18255800340179862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000509955","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014615567,0.010925805,0.00008345325,0.0027993033,0.0016470638,0.00002886929,0.008168583,0.00012140766,0.9616099],"genre_scores_gemma":[0.09843328,0.017644951,0.00036448627,0.0010834202,0.0007961594,0.0000527167,0.013216715,0.00007188497,0.8683364],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9998381,0.000014143764,0.000012788334,0.00003144498,0.00006396839,0.00003956452],"domain_scores_gemma":[0.9997553,0.00002133292,0.00002650007,0.000020462128,0.00013061517,0.000045744284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022129947,0.00040800148,0.00015869051,0.0015982114,0.0012232582,0.0023021935,0.00021769985,0.0004025303,0.085449554],"category_scores_gemma":[0.00051414245,0.00013266012,0.00012613603,0.0019307534,0.00021044919,0.00070824416,0.00046701054,0.0005154226,0.037598867],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017898114,0.00006146143,0.010136748,0.00016134723,0.000012764754,0.0004776439,0.0003200251,0.00014880527,0.00068873394,0.010473529,0.7952868,0.18205318],"study_design_scores_gemma":[0.0000062970344,0.000012546159,0.0143498,0.00009275637,0.00000354391,0.000097887314,0.00017997676,0.000042983036,0.0002324705,0.00023473774,0.98474413,0.000002869538],"about_ca_topic_score_codex":0.047147244,"about_ca_topic_score_gemma":0.077049874,"teacher_disagreement_score":0.085449554,"about_ca_system_score_codex":0.0030982678,"about_ca_system_score_gemma":0.0017905537,"threshold_uncertainty_score":0.2858572},"labels":[],"label_agreement":null},{"id":"W7000597387","doi":"","title":"Foreign Agricultural Trade of the United States May/June","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Liberian dollar; Production (economics); Product (mathematics); Us dollar; Agricultural productivity; Foreign exchange; Agribusiness","score_opus":0.038097498040065715,"score_gpt":0.21985777616332078,"score_spread":0.18176027812325507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000597387","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0356287,0.011233655,0.00014025212,0.0067570386,0.0026217566,0.00004439125,0.02477429,0.0002583004,0.9185416],"genre_scores_gemma":[0.15222931,0.015964491,0.00047717788,0.0022309746,0.00080604607,0.00006520239,0.03151243,0.00010042196,0.796614],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99988616,0.0000089058785,0.0000079270985,0.00001900419,0.00004353788,0.000034458386],"domain_scores_gemma":[0.9997862,0.000011367278,0.000027727756,0.000011933124,0.0001102064,0.000052444997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965543,0.00039544943,0.00014119578,0.0011687218,0.0009236135,0.0020732405,0.00019719498,0.00035812514,0.061433658],"category_scores_gemma":[0.0003727141,0.0000909048,0.000117866584,0.0013358137,0.00013120795,0.00047002107,0.00044283053,0.00041494638,0.019313395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013335455,0.0000448608,0.014633652,0.00013367567,0.000012507678,0.00031415164,0.0001925183,0.000099425764,0.00042825317,0.003965033,0.883979,0.09606357],"study_design_scores_gemma":[0.0000071845907,0.000012877363,0.032479953,0.00013434474,0.000005751429,0.0001015081,0.0003773752,0.000068662666,0.00022213461,0.00020491301,0.96638197,0.0000032756593],"about_ca_topic_score_codex":0.071666144,"about_ca_topic_score_gemma":0.11708092,"teacher_disagreement_score":0.071666144,"about_ca_system_score_codex":0.0022682813,"about_ca_system_score_gemma":0.002045513,"threshold_uncertainty_score":0.20551604},"labels":[],"label_agreement":null},{"id":"W7000675517","doi":"","title":"Foreign Agricultural Trade of the United States Calendar Year 1993 Supplementary Tables","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commodity; Census; Tariff; Schedule; Agriculture; Quarter (Canadian coin)","score_opus":0.02988035369556782,"score_gpt":0.21620035727972362,"score_spread":0.1863200035841558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000675517","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006345348,0.0012226873,0.00013514515,0.00019343424,0.00020625735,0.00004533259,0.9735702,0.00020818376,0.01807349],"genre_scores_gemma":[0.02972652,0.0032307345,0.00054812647,0.00017036036,0.00023422742,0.00017284029,0.9484535,0.00009095813,0.017372755],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940884,0.0000624074,0.00010334301,0.00009913324,0.00023748804,0.000088915025],"domain_scores_gemma":[0.9967704,0.00039508124,0.0010404151,0.00013726573,0.0015117968,0.00014512523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038931798,0.00058478257,0.00031972013,0.0062902356,0.00035121402,0.0011303271,0.00058762083,0.00019092656,0.06452618],"category_scores_gemma":[0.0032093036,0.00021719665,0.00028446832,0.015678601,0.00007085752,0.0004972142,0.00030689398,0.0004378717,0.019944549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014352071,0.000029948835,0.026266929,0.00040329187,0.00004486203,0.00007380947,0.000056242017,0.00036883695,0.000092734124,0.0007212021,0.9373229,0.03447574],"study_design_scores_gemma":[0.000058376834,0.000053977183,0.29731712,0.00040104386,0.00004991397,0.00020266468,0.00021863784,0.0004058127,0.0002619791,0.00036002486,0.70065176,0.000018659157],"about_ca_topic_score_codex":0.071115434,"about_ca_topic_score_gemma":0.06030473,"teacher_disagreement_score":0.071115434,"about_ca_system_score_codex":0.0011588191,"about_ca_system_score_gemma":0.001565501,"threshold_uncertainty_score":0.21586156},"labels":[],"label_agreement":null},{"id":"W7002471779","doi":"","title":"New Generation of Standards - Executive Summary","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Psychoanalysis and Psychopathology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Food Inspection Agency; U.S. Department of Agriculture","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.0791841017808712,"score_gpt":0.35994412012736277,"score_spread":0.28076001834649156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002471779","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014464604,0.014419175,0.15307735,0.07753244,0.031325053,0.0010235893,0.0061585507,0.0080476105,0.6939516],"genre_scores_gemma":[0.08215526,0.013758959,0.18014783,0.012887081,0.0065152342,0.0009007178,0.020949725,0.003850679,0.67883444],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928879,0.0012214317,0.0005978082,0.00084461836,0.004012193,0.0004359795],"domain_scores_gemma":[0.96231264,0.003994089,0.001109747,0.005242331,0.024694908,0.0026462434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0139614,0.00081452186,0.00058234995,0.0035150074,0.0012538597,0.0062440964,0.0023554864,0.0016554152,0.078351304],"category_scores_gemma":[0.02181675,0.00031828377,0.0006755215,0.0034820128,0.0009132295,0.0046370765,0.0028097255,0.0028261717,0.038515713],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007140586,0.00010867968,0.0019599458,0.0002044479,0.000014220205,0.000048102476,0.00025749748,0.00039363818,0.0009534393,0.06553091,0.3311499,0.5993078],"study_design_scores_gemma":[0.000020839456,0.00007579841,0.0023533578,0.0002676402,0.000015175304,0.00013271002,0.0002282847,0.00085464335,0.001609137,0.013840577,0.9805772,0.000024767629],"about_ca_topic_score_codex":0.006404904,"about_ca_topic_score_gemma":0.007461904,"teacher_disagreement_score":0.078351304,"about_ca_system_score_codex":0.0029781035,"about_ca_system_score_gemma":0.008912061,"threshold_uncertainty_score":0.26211125},"labels":[],"label_agreement":null},{"id":"W7005258034","doi":"","title":"Proceedings of the 50th Annual Meeting of Caribbean Food Crops Society","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; Canadian Bureau for International Education; U.S. Department of Agriculture","keywords":"Food security; Agriculture; Food supply; Food processing; Food systems; Crop","score_opus":0.012040834605435468,"score_gpt":0.23477865666555714,"score_spread":0.22273782206012166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005258034","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031382788,0.10278687,0.006478023,0.07217712,0.15464129,0.00063742005,0.003588168,0.00061753945,0.6276908],"genre_scores_gemma":[0.039555784,0.030316947,0.002758006,0.003345415,0.01170962,0.00028907225,0.0021394305,0.00017006099,0.90971565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996755,0.000053227413,0.000019919395,0.000047011206,0.00012392504,0.00008039798],"domain_scores_gemma":[0.9987754,0.00009069139,0.000060811235,0.000051083964,0.00064042705,0.0003815487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013471268,0.000923944,0.0005004005,0.00105389,0.001109992,0.001988008,0.0005644487,0.0014215499,0.112099685],"category_scores_gemma":[0.001411717,0.00017731433,0.0003790881,0.00075016386,0.0004270473,0.0008137674,0.0017359912,0.0011339092,0.029976077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023721022,0.000104425606,0.0027739007,0.000479277,0.00002494345,0.0004411022,0.00031548482,0.00012655422,0.0039559007,0.0016215047,0.7724738,0.21744588],"study_design_scores_gemma":[0.00000525523,0.000021271811,0.0022108029,0.000115040064,0.0000075888,0.0000894334,0.0001857686,0.000060160994,0.00024807715,0.00017563142,0.9968754,0.000005498423],"about_ca_topic_score_codex":0.010944093,"about_ca_topic_score_gemma":0.027043698,"teacher_disagreement_score":0.112099685,"about_ca_system_score_codex":0.0010819173,"about_ca_system_score_gemma":0.0023529732,"threshold_uncertainty_score":0.3750108},"labels":[],"label_agreement":null},{"id":"W7008469750","doi":"","title":"CANADIAN/UNITED STATES DATA CONVERSION TABLES","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data conversion; Table (database); Data system; State (computer science); Data collection","score_opus":0.139557589640005,"score_gpt":0.3274579100697681,"score_spread":0.1879003204297631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008469750","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061840116,0.00025455497,0.00073364953,0.0006150255,0.00067192235,0.00037191712,0.9446973,0.0008212576,0.051215913],"genre_scores_gemma":[0.0068435883,0.0016875644,0.008166029,0.00076376984,0.00013526999,0.001151268,0.9045478,0.0010192409,0.075685546],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99381506,0.00029348675,0.00072968914,0.00050504436,0.00367115,0.000985696],"domain_scores_gemma":[0.95700616,0.0024830506,0.0009405935,0.0020721254,0.036653146,0.00084492384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030722502,0.0015906207,0.0011659536,0.02514902,0.0042789523,0.0046041864,0.0034335076,0.0007403106,0.25022307],"category_scores_gemma":[0.035089944,0.0008666728,0.0015228653,0.058975797,0.0005519607,0.0016844815,0.0014842453,0.0027485997,0.083866686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023854454,0.000016472253,0.0011061754,0.00020090694,0.000010456601,0.000032061373,0.000062560124,0.00013032509,0.000034196924,0.0030929884,0.9800038,0.015286163],"study_design_scores_gemma":[0.000026277394,0.0000062707168,0.011496875,0.00022057573,0.000017938177,0.000057219622,0.00033837836,0.00017705648,0.00019519929,0.0007771781,0.98663867,0.00004831558],"about_ca_topic_score_codex":0.9710197,"about_ca_topic_score_gemma":0.9641124,"teacher_disagreement_score":0.25022307,"about_ca_system_score_codex":0.028332556,"about_ca_system_score_gemma":0.06886106,"threshold_uncertainty_score":0.8370795},"labels":[],"label_agreement":null},{"id":"W7008516138","doi":"","title":"Canadian &amp; U.S. Farmers: More similar than different","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.0398196959778638,"score_gpt":0.2218426897178453,"score_spread":0.1820229937399815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008516138","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3979951,0.0071015763,0.0005645595,0.08229365,0.0005096232,0.00008845693,0.0075201015,0.0000724833,0.5038544],"genre_scores_gemma":[0.9403299,0.0029217934,0.00040270924,0.0073739714,0.00007979279,0.000015652593,0.0008454772,0.000028172493,0.048002437],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989017,0.000113258175,0.000019205758,0.00015395314,0.0003906943,0.00042112678],"domain_scores_gemma":[0.99822944,0.00014792812,0.0002385244,0.000045915454,0.0006031224,0.0007351652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373665,0.00016703301,0.00032324877,0.0015974606,0.008548832,0.0033333804,0.0004509995,0.0009456353,0.03134315],"category_scores_gemma":[0.0024341226,0.000121905876,0.00016908944,0.0043055327,0.0022372631,0.0015295941,0.0012375696,0.00083919923,0.000805505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003809862,0.00018517068,0.290036,0.00033464306,0.0000944547,0.0009128548,0.016865918,0.00063037995,0.0014423069,0.11484623,0.39063588,0.18363519],"study_design_scores_gemma":[0.00006510669,0.00004329255,0.55760247,0.00035930565,0.000099822115,0.0003017263,0.07930166,0.0004973383,0.00035053107,0.02086799,0.340412,0.00009873765],"about_ca_topic_score_codex":0.9825597,"about_ca_topic_score_gemma":0.99560165,"teacher_disagreement_score":0.03134315,"about_ca_system_score_codex":0.023997972,"about_ca_system_score_gemma":0.0290951,"threshold_uncertainty_score":0.17411828},"labels":[],"label_agreement":null},{"id":"W7008580603","doi":"","title":"CHINA'S FOOD AND AGRICULTURE: ISSUES FOR THE 21ST CENTURY","year":2017,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Economic Research Service; Iowa State University; U.S. Department of Agriculture","keywords":"Agriculture; China; Accession; Openness to experience; Food systems; Agricultural productivity; Urbanization","score_opus":0.028850269137314994,"score_gpt":0.21025514098530576,"score_spread":0.18140487184799076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008580603","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009044976,0.18582508,0.0005024771,0.7746217,0.006321289,0.000008701388,0.00023654776,0.000044867586,0.023394324],"genre_scores_gemma":[0.35404006,0.41610286,0.00226471,0.13144852,0.027498335,0.00007006493,0.000628988,0.00005438344,0.06789203],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994672,0.00013168881,0.000023496885,0.000081636375,0.00015741136,0.00013865893],"domain_scores_gemma":[0.99821186,0.00050261756,0.00019069936,0.00011549702,0.00044874588,0.00053051667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019661607,0.00053017033,0.0007818987,0.001176747,0.0028496643,0.00598609,0.0011854436,0.005647189,0.015362946],"category_scores_gemma":[0.0022308624,0.00015325754,0.0004199883,0.0034813262,0.006039625,0.0061565535,0.0019257894,0.002666475,0.0010774502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057857476,0.00010523721,0.008260428,0.0006794379,0.00004295906,0.0005183001,0.0019654657,0.00072719424,0.00047560845,0.26291898,0.49964446,0.22460392],"study_design_scores_gemma":[0.000019067202,0.000055251443,0.01703284,0.00067352934,0.000023911363,0.0001646946,0.004053549,0.00094071915,0.00009416396,0.20562051,0.7712739,0.000047819696],"about_ca_topic_score_codex":0.03992334,"about_ca_topic_score_gemma":0.051209517,"teacher_disagreement_score":0.03992334,"about_ca_system_score_codex":0.0063956254,"about_ca_system_score_gemma":0.012809095,"threshold_uncertainty_score":0.07938194},"labels":[],"label_agreement":null},{"id":"W7009784688","doi":"","title":"Farm Income Issues Data Source Book","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Farm income; Agriculture; Production (economics); Resource (disambiguation); Data source; Net farm income; Agricultural productivity","score_opus":0.06894275397791504,"score_gpt":0.26394001868685824,"score_spread":0.19499726470894319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009784688","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028897123,0.00013441782,0.00015045039,0.00022192016,0.000080320286,0.00008510684,0.97347033,0.0004917672,0.025076788],"genre_scores_gemma":[0.0017790244,0.0005234481,0.000733124,0.00015938086,0.000065301814,0.00018414615,0.94536376,0.00035935445,0.05083243],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972543,0.000098725,0.00022264472,0.0002029482,0.0018753117,0.00034604533],"domain_scores_gemma":[0.980138,0.0014165882,0.0009658325,0.0009138543,0.015687888,0.000877942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012431087,0.00083770277,0.0010941556,0.010529817,0.0015908426,0.0035857144,0.001966068,0.0006824867,0.21185297],"category_scores_gemma":[0.009745299,0.0007141853,0.000569941,0.026937447,0.00031512728,0.0013967361,0.0011166539,0.0013954346,0.15598115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015559504,0.000008877164,0.00082490017,0.00011574632,0.000004040802,0.000010147809,0.000016875674,0.000076857,0.00001703355,0.0005554769,0.9884554,0.009899081],"study_design_scores_gemma":[0.0000145529,0.000005685204,0.013210979,0.000116685136,0.0000051965385,0.000016582364,0.00007148345,0.00013021947,0.00009620224,0.00031115027,0.9860044,0.00001695837],"about_ca_topic_score_codex":0.7458595,"about_ca_topic_score_gemma":0.7663563,"teacher_disagreement_score":0.7458595,"about_ca_system_score_codex":0.009576145,"about_ca_system_score_gemma":0.018919373,"threshold_uncertainty_score":0.7087188},"labels":[],"label_agreement":null},{"id":"W7009857498","doi":"","title":"Foreign Agricultural Trade of the United States February 1963","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Devaluation; Liberian dollar; Currency; Agriculture; Exchange rate; Value (mathematics); Current account; Tariff","score_opus":0.016757369539220513,"score_gpt":0.19338494548260277,"score_spread":0.17662757594338224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009857498","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025991471,0.017160743,0.00014109643,0.0038584732,0.0036149337,0.00004904943,0.034605883,0.00018802409,0.91439044],"genre_scores_gemma":[0.095507786,0.018544143,0.00045785008,0.0012717973,0.0006771698,0.00006259456,0.025531981,0.000095873525,0.8578508],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99984205,0.0000109881485,0.00001448376,0.000032036507,0.000063748485,0.000036612248],"domain_scores_gemma":[0.99982005,0.000017270502,0.000025387786,0.000015947107,0.000096026466,0.000025347481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001524834,0.00038371497,0.000134353,0.00178579,0.0010810713,0.0018335747,0.00019114059,0.00037555708,0.04235429],"category_scores_gemma":[0.00051403313,0.00014037192,0.00017945028,0.0030762749,0.00017691476,0.0004605824,0.00043007615,0.00048100145,0.017524246],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018051377,0.000046472385,0.012743949,0.00024070467,0.000017221337,0.00047585904,0.0004699208,0.0001586385,0.00062727067,0.010792445,0.8505963,0.123650774],"study_design_scores_gemma":[0.000004308249,0.000008382576,0.018839391,0.00009593816,0.000004393758,0.000067907065,0.0001482183,0.000035143345,0.00020286106,0.00018343407,0.9804073,0.000002823781],"about_ca_topic_score_codex":0.09523586,"about_ca_topic_score_gemma":0.14092202,"teacher_disagreement_score":0.09523586,"about_ca_system_score_codex":0.0021990049,"about_ca_system_score_gemma":0.0018678673,"threshold_uncertainty_score":0.18936306},"labels":[],"label_agreement":null},{"id":"W7009993504","doi":"","title":"1998 Front Materials: 4th Quarter","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Front (military); Gloom; Window (computing)","score_opus":0.03846857148196113,"score_gpt":0.24525638376502804,"score_spread":0.20678781228306692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009993504","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020039473,0.00057816616,0.00018191314,0.0019499138,0.004369279,0.00013094279,0.0021313778,0.00065088033,0.9898072],"genre_scores_gemma":[0.00032569707,0.00038816733,0.000071267896,0.00072558125,0.00049144373,0.00003192308,0.0010753807,0.00012389732,0.9967667],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934787,0.000037188933,0.000035809782,0.00014088479,0.00032901243,0.00010920705],"domain_scores_gemma":[0.9983449,0.00015697931,0.000057753754,0.00019575031,0.00081730826,0.00042734155],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00051828544,0.0016150498,0.0010438613,0.0018363161,0.0019056975,0.007645627,0.0018238557,0.0042070616,0.93516076],"category_scores_gemma":[0.0024847763,0.0005910627,0.0008020209,0.001900523,0.0006185566,0.0035078411,0.0021916316,0.002400825,0.920962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002610007,0.000049001894,0.00009659077,0.000097533724,0.0000017479988,0.000036906964,0.000010884756,0.000025508012,0.00015010862,0.0010846511,0.9538293,0.044591717],"study_design_scores_gemma":[0.000009082765,0.000012602909,0.0003374517,0.00008546636,9.007353e-7,0.000018783368,0.000026962443,0.000028368422,0.000039758663,0.00023649813,0.9992003,0.0000038637404],"about_ca_topic_score_codex":0.0042196894,"about_ca_topic_score_gemma":0.0075126146,"teacher_disagreement_score":0.064839244,"about_ca_system_score_codex":0.0013931625,"about_ca_system_score_gemma":0.0016244774,"threshold_uncertainty_score":0.09248525},"labels":[],"label_agreement":null},{"id":"W7010228738","doi":"","title":"Heavy going ahead for the Farm Credit System? (November 1998)","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Loan; Agriculture; Quarter (Canadian coin); Bad debt; Credit reference; Non-performing loan","score_opus":0.045628884331057974,"score_gpt":0.230561902452905,"score_spread":0.18493301812184704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010228738","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008128168,0.009493233,0.0001795605,0.8654823,0.0141144935,0.000036891717,0.00079231936,0.000096305965,0.1016768],"genre_scores_gemma":[0.05602119,0.01019755,0.00047304446,0.4649729,0.013589383,0.00010150334,0.00088461844,0.00008861387,0.45367116],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993185,0.0001098393,0.000032246007,0.0001021367,0.00020278282,0.00023449706],"domain_scores_gemma":[0.9989868,0.0001246916,0.00013164371,0.000037865073,0.00018759028,0.0005315426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011963203,0.00031217086,0.00015746569,0.00042583182,0.0050712386,0.0060635335,0.0004461769,0.007705365,0.035947245],"category_scores_gemma":[0.0036914935,0.00031201792,0.00017861601,0.0007497397,0.0010246593,0.0043767393,0.0020128991,0.0059553385,0.008085243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017085438,0.000015656618,0.0009924204,0.000012867943,0.0000015526462,0.00015605972,0.00033296994,0.000007459037,0.00006984657,0.0030031283,0.9851478,0.010243211],"study_design_scores_gemma":[0.00001720506,0.000028895993,0.014201259,0.00012104955,0.0000031257653,0.00020284457,0.0015154979,0.00003377095,0.00009408038,0.0016528197,0.98211217,0.00001730747],"about_ca_topic_score_codex":0.024157412,"about_ca_topic_score_gemma":0.08130845,"teacher_disagreement_score":0.035947245,"about_ca_system_score_codex":0.0022692203,"about_ca_system_score_gemma":0.0028601696,"threshold_uncertainty_score":0.12025547},"labels":[],"label_agreement":null},{"id":"W7010447810","doi":"","title":"Impact of China's Integration on Selected OECD Economies","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Monopolistic competition; Liberalization; China; Computable general equilibrium; Foreign direct investment; Accession; Goods and services; Free trade; Investment (military)","score_opus":0.06185447520989842,"score_gpt":0.23404314856499223,"score_spread":0.1721886733550938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010447810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97776073,0.0003426694,0.00007697767,0.00034215787,0.000013910921,0.0000276567,0.0004019418,0.000020020858,0.02101407],"genre_scores_gemma":[0.9970867,0.0004682398,0.000079346144,0.00010544478,0.000009800636,0.000013062226,0.00052048033,0.000004725161,0.001712314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938905,0.00012137029,0.000028771748,0.000055153872,0.00011390283,0.0002917328],"domain_scores_gemma":[0.99923456,0.000061560866,0.00024167351,0.000052784308,0.00017307144,0.00023630897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010743696,0.00076653715,0.00049683114,0.0017444147,0.001075927,0.0027918916,0.0004726201,0.00041071617,0.0049012573],"category_scores_gemma":[0.0012588449,0.00015064394,0.0007378377,0.0027709866,0.0010675178,0.0009916202,0.0035236545,0.0005762953,0.00025247567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020114968,0.00078644,0.80419606,0.000552613,0.0007177693,0.008302091,0.0026770572,0.038601533,0.0060617924,0.05388827,0.008377341,0.07382753],"study_design_scores_gemma":[0.00015080908,0.00036876395,0.9519333,0.00015465818,0.00026633107,0.00041236635,0.0052267453,0.009846427,0.0028421723,0.003481962,0.025263261,0.00005312234],"about_ca_topic_score_codex":0.10395665,"about_ca_topic_score_gemma":0.08093777,"teacher_disagreement_score":0.10395665,"about_ca_system_score_codex":0.0047952035,"about_ca_system_score_gemma":0.0036332896,"threshold_uncertainty_score":0.20670307},"labels":[],"label_agreement":null},{"id":"W7010781574","doi":"","title":"Issues in Federal Legislation Governing Supply Management in Canada: Phase 1 Dairy Sector","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Phase (matter); Supply management; Government (linguistics); Work (physics); Corporate governance","score_opus":0.03640121128368658,"score_gpt":0.24173039840603883,"score_spread":0.20532918712235226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010781574","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28015482,0.0076874513,0.0028368898,0.4322537,0.0015342847,0.00093803246,0.0038683552,0.00035136272,0.27037513],"genre_scores_gemma":[0.70684767,0.005008759,0.006860311,0.15584753,0.00045572792,0.00030515203,0.0013537179,0.00014061123,0.12318063],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97045857,0.002078427,0.0012283816,0.0013263632,0.014659425,0.010248736],"domain_scores_gemma":[0.9268944,0.024566568,0.0032436266,0.0012532312,0.03399581,0.010046274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017931815,0.00043266942,0.0006279294,0.004107873,0.02079792,0.014935351,0.005654254,0.010284966,0.007403077],"category_scores_gemma":[0.045369722,0.0014039008,0.0010030307,0.0055230437,0.0052549792,0.0028063182,0.0030399545,0.0077810036,0.0005486541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003380365,0.00068017707,0.10609296,0.00074895687,0.00019038688,0.0016646422,0.020407667,0.0068787616,0.0059500444,0.33988342,0.39106214,0.12610288],"study_design_scores_gemma":[0.00018063137,0.00018584021,0.3035131,0.0016054751,0.00020219221,0.0002516672,0.026068699,0.0048822407,0.003954641,0.015569415,0.64310974,0.00047646652],"about_ca_topic_score_codex":0.9955069,"about_ca_topic_score_gemma":0.9980063,"teacher_disagreement_score":0.2279944,"about_ca_system_score_codex":0.2279944,"about_ca_system_score_gemma":0.53280103,"threshold_uncertainty_score":0.8954171},"labels":[],"label_agreement":null},{"id":"W7014643417","doi":"","title":"Potential effects of variation in agriculture sector response to climate change: an integrated assessment","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Greenhouse gas; Agriculture; Productivity; Global warming; Distribution (mathematics); Agricultural productivity; Effects of global warming; Climate model","score_opus":0.03854135571236449,"score_gpt":0.2684742441941426,"score_spread":0.22993288848177812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014643417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88938385,0.00058236637,0.094638094,0.0008440241,0.00003401333,0.0002073778,0.0034757096,0.0002761423,0.01055843],"genre_scores_gemma":[0.985112,0.00024122618,0.012768175,0.000083645224,0.000011282277,0.00009298041,0.0010661465,0.000022140499,0.0006023743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989324,0.0005167663,0.0000612346,0.00019022104,0.00020642727,0.00009299438],"domain_scores_gemma":[0.99888676,0.0005177547,0.00020309807,0.00013809727,0.00018956495,0.00006463667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019158123,0.00062637083,0.00059041125,0.0008512216,0.00020522847,0.0012932917,0.0007704994,0.0010370703,0.0010889517],"category_scores_gemma":[0.0033469668,0.00030063812,0.0013592157,0.0019971507,0.00039710425,0.0014994608,0.0019418049,0.0005881683,0.00011489579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014863364,0.000085925305,0.057220437,0.000102703576,0.00051932316,0.00016949163,0.00015357422,0.9099807,0.0040987455,0.0060194302,0.00048787313,0.021013172],"study_design_scores_gemma":[0.000023286231,0.00025971167,0.0748585,0.00003226868,0.00019597224,0.00007039878,0.00021837425,0.90685695,0.0013517571,0.013118991,0.0029557082,0.000058096146],"about_ca_topic_score_codex":0.014858916,"about_ca_topic_score_gemma":0.009784264,"teacher_disagreement_score":0.014858916,"about_ca_system_score_codex":0.0012615925,"about_ca_system_score_gemma":0.000692252,"threshold_uncertainty_score":0.02954483},"labels":[],"label_agreement":null},{"id":"W7016040818","doi":"","title":"World Wheat Prices, Canadian-Argentine Spreads, and the Ottawa Agreement","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Winter wheat; Yield (engineering); International comparisons; Term (time)","score_opus":0.025565944618604515,"score_gpt":0.20898292240024507,"score_spread":0.18341697778164057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7016040818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8187182,0.0061411145,0.00038477714,0.024555318,0.00016283891,0.00003054463,0.0063483207,0.000074442105,0.14358442],"genre_scores_gemma":[0.98609924,0.0013506149,0.00009679793,0.0004287878,0.000028510642,0.0000046901923,0.00056766655,0.000018982984,0.011404573],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990201,0.00009028948,0.0000527977,0.00010795225,0.000250341,0.00047852518],"domain_scores_gemma":[0.9908434,0.0024412405,0.00145258,0.00023519703,0.0036575294,0.0013700377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016334171,0.00024560283,0.0004625086,0.0018508787,0.0036865356,0.006958538,0.0008724133,0.0015878183,0.010585206],"category_scores_gemma":[0.0120214885,0.0002456232,0.0004351796,0.0042212945,0.0017045408,0.0017719091,0.0012369403,0.0020647165,0.0004994548],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023354278,0.00022378033,0.5685147,0.0002870622,0.00042974408,0.0009421989,0.0047359006,0.020726347,0.00069161237,0.2637697,0.08924615,0.04809742],"study_design_scores_gemma":[0.00018930486,0.00006861905,0.8764584,0.00030306907,0.00041943282,0.00014636565,0.011791094,0.009955489,0.00045443588,0.0255348,0.07440581,0.00027310045],"about_ca_topic_score_codex":0.9880505,"about_ca_topic_score_gemma":0.9932266,"teacher_disagreement_score":0.05476024,"about_ca_system_score_codex":0.05476024,"about_ca_system_score_gemma":0.028223734,"threshold_uncertainty_score":0.3973152},"labels":[],"label_agreement":null},{"id":"W7019293349","doi":"","title":"Financing Agriculture and Rural America: Issues of Policy, Structure and Technical Change; Proceedings of the NC-221 Committee Annual Meeting, Denver, Colorado, October 7-8, 2002","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Revenue; Payment; Agriculture; Investment (military); Government (linguistics); Financial risk; Life insurance; Rate of return","score_opus":0.0139140842955903,"score_gpt":0.2239538476345284,"score_spread":0.21003976333893812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019293349","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010618973,0.15272339,0.0014245773,0.40386918,0.0064983056,0.00034489948,0.0044940175,0.00017499503,0.4198516],"genre_scores_gemma":[0.08515564,0.12703645,0.0024709613,0.015352966,0.0037975183,0.00067890005,0.002992368,0.00020964109,0.7623055],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989022,0.0003090079,0.0000387016,0.0001424694,0.00039692692,0.0002107289],"domain_scores_gemma":[0.9977108,0.0006386133,0.00018266773,0.00011249572,0.00075856055,0.00059683074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00326982,0.0006745376,0.00042507012,0.00082111394,0.00325208,0.0069867177,0.001492703,0.0036678098,0.03819244],"category_scores_gemma":[0.005406154,0.00038733336,0.00015265432,0.0033146762,0.00148771,0.0032506043,0.001504783,0.0025930898,0.0056340145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025256564,0.00003552912,0.001489819,0.00008198225,0.0000044936514,0.000046230696,0.0003566238,0.00019878884,0.00016703116,0.011395045,0.95857775,0.027621329],"study_design_scores_gemma":[0.000009991081,0.000006967347,0.0046426244,0.00023197121,0.000004577829,0.000023025237,0.0010684824,0.00012896275,0.000087715875,0.002191878,0.9915929,0.00001100693],"about_ca_topic_score_codex":0.217203,"about_ca_topic_score_gemma":0.3963293,"teacher_disagreement_score":0.217203,"about_ca_system_score_codex":0.011788432,"about_ca_system_score_gemma":0.023744553,"threshold_uncertainty_score":0.4318775},"labels":[],"label_agreement":null},{"id":"W7019318483","doi":"","title":"1991 Front Materials: 2nd Quarter","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Front (military); Quarter (Canadian coin); Gloom; Window (computing)","score_opus":0.0390574418003278,"score_gpt":0.2458181337965897,"score_spread":0.2067606919962619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019318483","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006322887,0.004175044,0.0018570968,0.003923703,0.006550897,0.00018479355,0.0049790093,0.00084954617,0.9711571],"genre_scores_gemma":[0.0041715596,0.0009702631,0.00042018722,0.00026954568,0.00029767604,0.000024107423,0.0010513552,0.0001824566,0.99261284],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963737,0.000013595213,0.000013259538,0.000059148082,0.00021647234,0.000060095917],"domain_scores_gemma":[0.9993755,0.00006912298,0.000025413045,0.00007240586,0.00031587572,0.00014172027],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005199857,0.0009058512,0.00068878726,0.0026925977,0.0020441865,0.0028103522,0.0008659364,0.0017472726,0.6691082],"category_scores_gemma":[0.00094342284,0.0004930548,0.000655696,0.0011298298,0.00049718365,0.0012440385,0.0011030997,0.0012206952,0.4068038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025220722,0.00013889911,0.00060724874,0.000343765,0.000013053112,0.00015303897,0.00003449186,0.00024987536,0.008538129,0.0053340713,0.79573727,0.18859789],"study_design_scores_gemma":[0.000014906178,0.00004889361,0.0014083139,0.000055063705,0.000005928657,0.00007794356,0.000035524212,0.00020355287,0.0023423308,0.0006589596,0.9951428,0.000005935367],"about_ca_topic_score_codex":0.0035676498,"about_ca_topic_score_gemma":0.015806593,"teacher_disagreement_score":0.3308918,"about_ca_system_score_codex":0.0018788314,"about_ca_system_score_gemma":0.0011586479,"threshold_uncertainty_score":0.47197694},"labels":[],"label_agreement":null},{"id":"W7019865155","doi":"","title":"Implications of Freer Canadian-U.S. Trade for Wheat, Dairy and Poultry","year":2023,"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":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Production (economics); Productivity; Work (physics); Selection (genetic algorithm); Government (linguistics); Investment (military)","score_opus":0.0441830236275217,"score_gpt":0.2105057432242876,"score_spread":0.16632271959676592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019865155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52888966,0.011830558,0.0008834283,0.12073013,0.0010502673,0.000096688505,0.020067623,0.00015560443,0.31629607],"genre_scores_gemma":[0.9564123,0.0024129697,0.00030354972,0.005880787,0.00017991998,0.000011311922,0.0020317063,0.000044282686,0.03272324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99768305,0.00018158181,0.000059519276,0.00021517687,0.0007829954,0.0010777708],"domain_scores_gemma":[0.9948094,0.0009036043,0.00072881294,0.00015277404,0.0022865692,0.0011188103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017956867,0.0003862784,0.00039766624,0.002069495,0.0053320588,0.0048744115,0.0014260896,0.002565678,0.021037903],"category_scores_gemma":[0.007259234,0.00023918303,0.0012218999,0.0029735577,0.0018060068,0.0011867519,0.0011366858,0.0021643941,0.0007684035],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025042368,0.000510619,0.32862476,0.00056517246,0.0004084202,0.0034598021,0.0034752002,0.010223875,0.0023044613,0.33714667,0.22359255,0.08718434],"study_design_scores_gemma":[0.0004300892,0.00018360185,0.7221262,0.00063582894,0.00052122504,0.00059009384,0.0124740545,0.007284293,0.0025155053,0.047619343,0.20536174,0.0002580832],"about_ca_topic_score_codex":0.9720933,"about_ca_topic_score_gemma":0.9882621,"teacher_disagreement_score":0.047449768,"about_ca_system_score_codex":0.047449768,"about_ca_system_score_gemma":0.039929874,"threshold_uncertainty_score":0.34427375},"labels":[],"label_agreement":null},{"id":"W7020076441","doi":"","title":"Kansas bankers and 4-H","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"American Sports and Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Club; Agency (philosophy); Quarter (Canadian coin); Revenue; Training (meteorology); Work (physics)","score_opus":0.026547295799645893,"score_gpt":0.20689297055299338,"score_spread":0.18034567475334748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020076441","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29476675,0.0105621815,0.00069504714,0.18044162,0.0035991352,0.000059612987,0.0009619544,0.00014257163,0.50877106],"genre_scores_gemma":[0.62593716,0.0030234223,0.0003538582,0.014570695,0.00040217314,0.000039171107,0.00022400195,0.00006190619,0.35538757],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981384,0.00044108604,0.000048360253,0.00018137906,0.00026194542,0.0009289517],"domain_scores_gemma":[0.99316496,0.0008316864,0.0008518032,0.00020058654,0.0011128822,0.003838018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016719104,0.0001932106,0.00018818156,0.0012860328,0.015521139,0.0070687174,0.0005665748,0.0023294762,0.061260186],"category_scores_gemma":[0.004100613,0.00036977394,0.00013615884,0.0017388585,0.004062431,0.0022853895,0.00420236,0.0033906228,0.0034713997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003184088,0.00026328428,0.04559535,0.00017627906,0.000035964273,0.00074750534,0.03850216,0.00012903645,0.00038451114,0.1889588,0.6543467,0.07054204],"study_design_scores_gemma":[0.000019886102,0.000033106306,0.037072454,0.00020416493,0.000011701278,0.00009476603,0.021314248,0.00004941149,0.0001272375,0.0028157944,0.938222,0.000035335914],"about_ca_topic_score_codex":0.1937849,"about_ca_topic_score_gemma":0.42220023,"teacher_disagreement_score":0.1937849,"about_ca_system_score_codex":0.0079062255,"about_ca_system_score_gemma":0.010085273,"threshold_uncertainty_score":0.38531387},"labels":[],"label_agreement":null},{"id":"W7020098815","doi":"","title":"Issues in Federal Legislation Governing Supply Management in Canada: Phase 1 Poultry and Egg Sectors","year":2017,"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":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Phase (matter); Government (linguistics); Supply management; Work (physics)","score_opus":0.026800741838161075,"score_gpt":0.22127404074321855,"score_spread":0.19447329890505746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020098815","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31815088,0.00800566,0.0038444228,0.33036286,0.0018234937,0.0009038557,0.007376781,0.00042887512,0.32910323],"genre_scores_gemma":[0.7356719,0.004545896,0.0076752864,0.11480412,0.00048812662,0.00026949792,0.0019346264,0.00012975617,0.13448091],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.982393,0.0011434495,0.0007367083,0.0008291996,0.00897431,0.005923234],"domain_scores_gemma":[0.9495378,0.013712047,0.0029023322,0.00095472246,0.026488662,0.006404522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010328382,0.00039799846,0.0004579502,0.003586193,0.012773052,0.009051581,0.0043141185,0.0063321134,0.006275011],"category_scores_gemma":[0.02867262,0.0010585635,0.0009035062,0.0042798175,0.0035420912,0.0020219022,0.0018989271,0.0046725036,0.00043691814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033531178,0.0005930456,0.14103228,0.0007606977,0.00020227674,0.0015682653,0.014639464,0.0073804273,0.008032214,0.25671336,0.43395847,0.13478418],"study_design_scores_gemma":[0.00010299801,0.00014823936,0.40104726,0.0013184234,0.00015707388,0.0002079174,0.013851652,0.0036718086,0.0038699622,0.009630645,0.5656694,0.00032464968],"about_ca_topic_score_codex":0.99340504,"about_ca_topic_score_gemma":0.99743265,"teacher_disagreement_score":0.1484933,"about_ca_system_score_codex":0.1484933,"about_ca_system_score_gemma":0.36422578,"threshold_uncertainty_score":0.9876271},"labels":[],"label_agreement":null},{"id":"W7024071312","doi":"","title":"PROCEEDINGS OF THE CN TRADE RELATIONS FORUM ON FOREST PRODUCT MARKETS, UNIVERSITY OF ALBERTA, APRIL 16, 2008","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forest product; Commodity; Context (archaeology); Product (mathematics); Forest industry","score_opus":0.015083136698118699,"score_gpt":0.20337672933542994,"score_spread":0.18829359263731124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024071312","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011931973,0.05833182,0.0020946965,0.1572661,0.052934125,0.00042352485,0.010883742,0.00054915814,0.7055848],"genre_scores_gemma":[0.01333144,0.004507208,0.00066138187,0.00428776,0.0018039364,0.00005477025,0.0015876087,0.00008990234,0.97367585],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894613,0.00009670839,0.000020778472,0.0001297861,0.00056549197,0.00024120133],"domain_scores_gemma":[0.9984611,0.00024699233,0.000054135136,0.00006887504,0.0006676241,0.0005013024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020744256,0.0008255501,0.00048441114,0.00077071466,0.004728387,0.0051107,0.0013514285,0.0047989367,0.10300945],"category_scores_gemma":[0.0026004382,0.00033495107,0.0003036767,0.0013241653,0.0009952427,0.0015153995,0.0012637122,0.0033441114,0.0150900455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040238156,0.000027566699,0.0002701641,0.00003359216,0.0000021484152,0.000055446104,0.00009917564,0.00007160138,0.00016236636,0.0017430976,0.9888138,0.008680855],"study_design_scores_gemma":[0.0000057506895,0.0000052188534,0.0018087887,0.000051032926,0.0000029218606,0.00000985968,0.0002455245,0.000073908275,0.00008728927,0.00033846404,0.99736565,0.000005694136],"about_ca_topic_score_codex":0.48182544,"about_ca_topic_score_gemma":0.8042248,"teacher_disagreement_score":0.5181745,"about_ca_system_score_codex":0.013411608,"about_ca_system_score_gemma":0.020409618,"threshold_uncertainty_score":0.9580418},"labels":[],"label_agreement":null},{"id":"W7024090973","doi":"","title":"Report on Long Term Challenges and Opportunities for Future Competitiveness and Prosperity of the Agriculture and Agri-Food Industry - Chapter 2: Structure and Performance of the Canadian Food Processing Industry","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Agriculture; Food processing; Snapshot (computer storage); Productivity; Food industry; Information processing","score_opus":0.060615957362383295,"score_gpt":0.21808751998367093,"score_spread":0.15747156262128764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024090973","genre_codex":"dataset","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03770288,0.01638166,0.0032825244,0.038809203,0.0048833927,0.0014278374,0.46042266,0.0013074214,0.43578243],"genre_scores_gemma":[0.07570677,0.018257037,0.007428131,0.0023330068,0.00080056436,0.00062446116,0.23385452,0.00043326293,0.66056216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99586123,0.00008247927,0.00007536951,0.00010876823,0.0033524742,0.0005197353],"domain_scores_gemma":[0.9890483,0.00028298557,0.000246859,0.00020041417,0.009386786,0.0008346455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028192447,0.0008028647,0.00033347835,0.0051385504,0.002520049,0.0044036903,0.0011358978,0.001007738,0.013704719],"category_scores_gemma":[0.0043585026,0.00032062456,0.0004874887,0.0068588876,0.0004611546,0.0012174179,0.0011134216,0.0013298126,0.0041738893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000676681,0.000033035398,0.005545804,0.00029619192,0.000024279641,0.00008572948,0.0005365991,0.00054279313,0.0008405012,0.005407649,0.9475862,0.039033547],"study_design_scores_gemma":[0.0000071288423,0.00002437379,0.051303726,0.00015612153,0.000023308661,0.00003477796,0.0010191312,0.0002673418,0.00092319027,0.00034216078,0.9458637,0.000035087985],"about_ca_topic_score_codex":0.96715945,"about_ca_topic_score_gemma":0.9691371,"teacher_disagreement_score":0.03284055,"about_ca_system_score_codex":0.032779027,"about_ca_system_score_gemma":0.111745074,"threshold_uncertainty_score":0.23782957},"labels":[],"label_agreement":null},{"id":"W7024117770","doi":"","title":"Proceedings of an international conference held at Bangkok, Thailand, 23-26 April 1991: Fungi and Mycotoxins in Stored Products","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Mycotoxin; Action (physics); Animal health; Human health; Yield (engineering)","score_opus":0.04053200760223473,"score_gpt":0.23168987891486814,"score_spread":0.1911578713126334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024117770","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03960286,0.25187895,0.010904189,0.13335107,0.25327143,0.0013629696,0.0025206022,0.0002844506,0.30682343],"genre_scores_gemma":[0.03336141,0.045017537,0.002503964,0.0042350995,0.024369456,0.00028370583,0.0009259667,0.00017411645,0.88912874],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910116,0.00022073627,0.00007904104,0.0001249591,0.00026842998,0.00020561859],"domain_scores_gemma":[0.9980565,0.00031165252,0.00014368584,0.00005624801,0.00067791884,0.00075393124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002373141,0.0016766606,0.00083658245,0.0011898675,0.0031556874,0.005020869,0.0012844537,0.0027984495,0.087618776],"category_scores_gemma":[0.0018986976,0.00042178092,0.0007862411,0.0015233271,0.0011715663,0.0029082585,0.0021983595,0.003611007,0.019860571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001243582,0.00045819033,0.0035424125,0.0018211575,0.00008798529,0.002281348,0.0023852477,0.0005768222,0.0076146494,0.002905645,0.8179099,0.15917303],"study_design_scores_gemma":[0.000020938161,0.00013048168,0.003889897,0.00028562619,0.00004187726,0.00037893365,0.0013490875,0.00011617019,0.0013201088,0.0004946906,0.9919465,0.000025649153],"about_ca_topic_score_codex":0.006925915,"about_ca_topic_score_gemma":0.015579931,"teacher_disagreement_score":0.087618776,"about_ca_system_score_codex":0.0024675473,"about_ca_system_score_gemma":0.0032076626,"threshold_uncertainty_score":0.293114},"labels":[],"label_agreement":null},{"id":"W7024260800","doi":"","title":"Report on Long Term Challenges and Opportunities for Future Competitiveness and Prosperity of the Agriculture and Agri-Food Industry - Chapter 1: Primary Agriculture","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Prosperity; Position (finance); Snapshot (computer storage); Term (time); Position paper","score_opus":0.047556570298359045,"score_gpt":0.2240415994973661,"score_spread":0.17648502919900705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024260800","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039662343,0.02720124,0.005089825,0.049514104,0.011101584,0.0024342004,0.324576,0.0016736398,0.538747],"genre_scores_gemma":[0.061614934,0.026986321,0.007230004,0.0040528094,0.0014866524,0.0009909725,0.17899601,0.00048306785,0.7181592],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973572,0.00010177791,0.00007258647,0.00008879631,0.0019462463,0.00043323956],"domain_scores_gemma":[0.99407095,0.00032102095,0.00023155948,0.0001619198,0.0045994413,0.00061515725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025412198,0.00067497167,0.00031699703,0.0024224815,0.0014087235,0.0033129784,0.0009842203,0.0012483532,0.01688465],"category_scores_gemma":[0.0031880382,0.00024081433,0.00040055285,0.0033306377,0.00028772454,0.001143936,0.001096659,0.0013751475,0.0064712353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014688747,0.00005404296,0.004766201,0.00067714084,0.000030684725,0.00017984863,0.0004792843,0.0005725529,0.0018765008,0.00464706,0.92528206,0.06128778],"study_design_scores_gemma":[0.0000054254406,0.00003664515,0.020286253,0.00018387185,0.000017406204,0.000040776576,0.0006005204,0.00009222911,0.00092410564,0.00032644524,0.9774689,0.000017337103],"about_ca_topic_score_codex":0.62364715,"about_ca_topic_score_gemma":0.64500076,"teacher_disagreement_score":0.62364715,"about_ca_system_score_codex":0.011148387,"about_ca_system_score_gemma":0.047566283,"threshold_uncertainty_score":0.7571385},"labels":[],"label_agreement":null},{"id":"W7024405990","doi":"","title":"Social science perspectives on managing agricultural technology","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Instituto Nacional de Investigaciones Agropecuarias; Indian Council of Agricultural Research; International Development Research Centre","keywords":"Work (physics); Agriculture; Field (mathematics); Agricultural communication; Agricultural machinery; Social research; Agricultural productivity","score_opus":0.05254972551088515,"score_gpt":0.36288531893114295,"score_spread":0.3103355934202578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024405990","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30888346,0.0055051637,0.009880942,0.18482055,0.00052037806,0.00010028583,0.00012507774,0.00003425402,0.4901298],"genre_scores_gemma":[0.9841687,0.0016962633,0.0008635899,0.0027852948,0.00016838302,0.000041531548,0.000025981355,0.000023677621,0.010226611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9854122,0.011524701,0.00016220966,0.00044219784,0.00086423877,0.0015944139],"domain_scores_gemma":[0.988593,0.008917192,0.0008806452,0.000234146,0.0004720772,0.00090285664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012587053,0.0005197894,0.0003236089,0.0025651546,0.015604999,0.016252687,0.0013586087,0.005503689,0.0049955295],"category_scores_gemma":[0.0095036235,0.00025878986,0.00037471077,0.0035359433,0.031931944,0.0111972485,0.0072224718,0.004381278,0.00044105592],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045063633,0.00007337759,0.0024053669,0.00012593278,0.000024073666,0.0016736729,0.4572041,0.0011774906,0.0006070939,0.5102086,0.010052082,0.016403126],"study_design_scores_gemma":[0.000015218137,0.000052433148,0.0024655254,0.0001751541,0.0000125446295,0.000291033,0.52126235,0.00095166854,0.00039567918,0.14234847,0.3319988,0.000031155243],"about_ca_topic_score_codex":0.0088031255,"about_ca_topic_score_gemma":0.012816176,"teacher_disagreement_score":0.016252687,"about_ca_system_score_codex":0.010511555,"about_ca_system_score_gemma":0.0044068275,"threshold_uncertainty_score":0.07626706},"labels":[],"label_agreement":null},{"id":"W7024633136","doi":"","title":"Social Impact Assessment of Alternative Energy Production in Alberta","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Fusible alloy; Articular cartilage damage; Hyporeflexia; Proteogenomics","score_opus":0.02947451860073558,"score_gpt":0.3270294528243869,"score_spread":0.2975549342236513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024633136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381652,0.00024393955,0.0008997769,0.0002573107,0.000007161001,0.00022737234,0.00067711604,0.000014636277,0.059507463],"genre_scores_gemma":[0.9947324,0.00028521102,0.0007589426,0.000021593412,0.0000025044435,0.00003338456,0.000265312,0.0000022041227,0.003898471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870026,0.00028668586,0.00002395349,0.000036188736,0.00074644084,0.00020639523],"domain_scores_gemma":[0.9993826,0.00014709371,0.000058999674,0.000018568064,0.00033653557,0.00005619548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092835125,0.0003786998,0.00016123387,0.002303403,0.0014521449,0.0012541949,0.00056888897,0.0002558071,0.0022995817],"category_scores_gemma":[0.0010418732,0.0000923628,0.000283014,0.0032551729,0.00086815096,0.00027127846,0.0012061478,0.00022590863,0.00008243071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012856615,0.0008781114,0.55411893,0.0007359755,0.00036083345,0.0037993374,0.0066229496,0.17762297,0.0066720014,0.037425216,0.0054769814,0.20500112],"study_design_scores_gemma":[0.000098161174,0.0007686518,0.83461404,0.00022496656,0.00021119104,0.00025306456,0.048106313,0.06072979,0.004789449,0.009198693,0.040920857,0.000084870604],"about_ca_topic_score_codex":0.81387174,"about_ca_topic_score_gemma":0.9268322,"teacher_disagreement_score":0.18612826,"about_ca_system_score_codex":0.023992961,"about_ca_system_score_gemma":0.01159399,"threshold_uncertainty_score":0.37444878},"labels":[],"label_agreement":null},{"id":"W7024873855","doi":"","title":"Summary of the Functional Foods and Nutraceuticals Survey","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nutraceutical; Baseline (sea); Food sector; Agriculture; Intellectual property; Functional food","score_opus":0.07801678161677084,"score_gpt":0.27041173991398765,"score_spread":0.1923949582972168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024873855","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012959194,0.0011655836,0.00053879595,0.0019737151,0.00023056577,0.0013584292,0.9591297,0.00019859604,0.02244548],"genre_scores_gemma":[0.037195995,0.0053486363,0.0027141757,0.0017520469,0.00023749023,0.0037483573,0.9150828,0.00013404858,0.033786546],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9962747,0.0003160473,0.00040488964,0.00031026418,0.0019772172,0.00071686355],"domain_scores_gemma":[0.98294985,0.0006498518,0.0006986282,0.00026304467,0.014443885,0.000994709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032960419,0.00075391337,0.00081482535,0.006933827,0.001275972,0.0017220622,0.0014156152,0.0006887682,0.032883555],"category_scores_gemma":[0.009267225,0.0005041319,0.0006060754,0.012677524,0.0002886758,0.0009574262,0.0010579989,0.0010157378,0.0151487235],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017046837,0.00014740348,0.07838499,0.0011663617,0.000049613194,0.000091695445,0.0005719914,0.0003724082,0.00024192422,0.0011954682,0.8693283,0.048279468],"study_design_scores_gemma":[0.00003695459,0.00009106156,0.46399966,0.00067574414,0.000030338271,0.000101845326,0.001826041,0.00029263084,0.00021342801,0.00022805059,0.53244776,0.000056484714],"about_ca_topic_score_codex":0.7656188,"about_ca_topic_score_gemma":0.7444484,"teacher_disagreement_score":0.7656188,"about_ca_system_score_codex":0.013369834,"about_ca_system_score_gemma":0.023130247,"threshold_uncertainty_score":0.471523},"labels":[],"label_agreement":null},{"id":"W7025009022","doi":"","title":"The Timing of Wheat Marketing in Western Canada","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.04385755476840906,"score_gpt":0.2337140533316469,"score_spread":0.18985649856323786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025009022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92270863,0.002667361,0.00029929072,0.002355158,0.00008675884,0.00007095151,0.047756348,0.00016664139,0.023888823],"genre_scores_gemma":[0.9692551,0.0010197865,0.0002325401,0.00020160302,0.000016277345,0.000012716525,0.008330548,0.00004216131,0.020889282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992924,0.000028490473,0.000048160946,0.00009745484,0.00021703338,0.00031643195],"domain_scores_gemma":[0.99570173,0.00029324775,0.0006860604,0.000057831203,0.0023253567,0.00093575823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039657785,0.00024854246,0.0002922021,0.0032613827,0.0018365146,0.0025035501,0.0010081293,0.00045555725,0.0072943717],"category_scores_gemma":[0.0022581469,0.00035384484,0.00027456746,0.006028294,0.00062720507,0.00056436803,0.0007893825,0.0008738014,0.00089553243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005439834,0.00011320468,0.91237426,0.00016463111,0.0001003202,0.0004471925,0.003453289,0.0012584316,0.0010425295,0.0031430216,0.043531314,0.033827923],"study_design_scores_gemma":[0.000007706118,0.000025255296,0.980992,0.00005326525,0.000017848126,0.00004623257,0.005848465,0.0008816667,0.00023112053,0.00007750004,0.011795604,0.000023279896],"about_ca_topic_score_codex":0.9975134,"about_ca_topic_score_gemma":0.9990081,"teacher_disagreement_score":0.0295148,"about_ca_system_score_codex":0.0295148,"about_ca_system_score_gemma":0.034706928,"threshold_uncertainty_score":0.2141459},"labels":[],"label_agreement":null},{"id":"W7025039083","doi":"","title":"Trade Liberalization Under NAFTA - Report Card on Agriculture","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; University of Alberta","keywords":"Agriculture; Free trade; Liberalization; Negotiation; Trade barrier; Free trade agreement; Principal (computer security); Service (business)","score_opus":0.03565450957425329,"score_gpt":0.2800143771614024,"score_spread":0.2443598675871491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025039083","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09054181,0.017836386,0.0052167093,0.17402668,0.04938305,0.0050943824,0.011512751,0.0010813696,0.64530694],"genre_scores_gemma":[0.3591321,0.01359726,0.013161785,0.036318686,0.016860666,0.0061518843,0.014144929,0.00033571175,0.540297],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964108,0.0009899352,0.00027676436,0.00037942003,0.0012662348,0.00067684095],"domain_scores_gemma":[0.9936452,0.0024062258,0.00064434076,0.00031284578,0.0025119712,0.0004793392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012332261,0.00071448984,0.00043056038,0.0017193354,0.0026545047,0.0050572264,0.0009409079,0.0041929497,0.02174135],"category_scores_gemma":[0.0097409515,0.00028801436,0.00048454828,0.0011447312,0.0008848854,0.0022111328,0.002480865,0.0026995442,0.003633158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000382341,0.0003262523,0.0024520378,0.0004948162,0.000014958082,0.00039570237,0.0023777334,0.00061182084,0.0027854964,0.016451664,0.8874809,0.08622627],"study_design_scores_gemma":[0.000039247,0.00016962684,0.004691789,0.00031184606,0.0000042536712,0.000048969894,0.0016497641,0.00017008885,0.0006097564,0.0013825186,0.9909027,0.00001944823],"about_ca_topic_score_codex":0.007423463,"about_ca_topic_score_gemma":0.013143315,"teacher_disagreement_score":0.02174135,"about_ca_system_score_codex":0.0045345146,"about_ca_system_score_gemma":0.00403617,"threshold_uncertainty_score":0.07273209},"labels":[],"label_agreement":null},{"id":"W7026512727","doi":"","title":"Agricultural Policies in the Western Hemisphere","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Inter-American Development Bank","keywords":"Agriculture; Industrialisation; Government (linguistics); Urbanization; Agrarian society; Population; Latin Americans; Western hemisphere; Gross domestic product","score_opus":0.0357326222669171,"score_gpt":0.22881226354395573,"score_spread":0.19307964127703864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026512727","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06669914,0.015747469,0.0001808276,0.015358896,0.00050869555,0.000025216175,0.0010095156,0.00009187848,0.90037847],"genre_scores_gemma":[0.6055718,0.02710774,0.0008669138,0.016822275,0.0004742184,0.00010754368,0.0017548836,0.00009613401,0.34719855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996069,0.000054518667,0.000014561852,0.000042240237,0.000072455165,0.00020931635],"domain_scores_gemma":[0.9996462,0.00003248187,0.000073383824,0.000026690586,0.00008804127,0.00013319445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048489487,0.00018588443,0.00012295542,0.00095316116,0.0021090596,0.0038683747,0.00026669036,0.00058062247,0.016910901],"category_scores_gemma":[0.0006348605,0.00007867191,0.00009975029,0.0024211349,0.0008433737,0.00087407534,0.0011265198,0.0007347052,0.0013571854],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020211811,0.00021771253,0.032264404,0.0004688789,0.000042869524,0.0018164048,0.013163862,0.0006110084,0.0033103474,0.3505549,0.3242053,0.2731422],"study_design_scores_gemma":[0.000010498167,0.0000131389015,0.02975952,0.00013647639,0.0000054231527,0.0000998355,0.0020558315,0.000036952137,0.00011973246,0.0026901874,0.96506417,0.000008285045],"about_ca_topic_score_codex":0.13739344,"about_ca_topic_score_gemma":0.11938213,"teacher_disagreement_score":0.13739344,"about_ca_system_score_codex":0.0034295975,"about_ca_system_score_gemma":0.0044146962,"threshold_uncertainty_score":0.27318746},"labels":[],"label_agreement":null},{"id":"W7028352063","doi":"","title":"Foreign Agricultural Trade of the United States September 1964","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Bushel; Livestock; Value (mathematics); Quarter (Canadian coin); Agribusiness","score_opus":0.05656344278298456,"score_gpt":0.25118791721133704,"score_spread":0.19462447442835248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028352063","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023357006,0.020518497,0.00008655052,0.005768563,0.0025506695,0.000031857286,0.020177133,0.000106885214,0.92740303],"genre_scores_gemma":[0.073650904,0.019248163,0.00021926042,0.0008428188,0.000441601,0.00002559282,0.01097737,0.000032953976,0.8945613],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999835,0.0000115592575,0.000010350708,0.0000272657,0.00007466033,0.000041135085],"domain_scores_gemma":[0.9997619,0.000014339887,0.00002507634,0.000012122911,0.00014875493,0.000037933787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013748398,0.00034097634,0.000109183275,0.0019272435,0.0015221454,0.0017625123,0.0001936765,0.00029102384,0.06214105],"category_scores_gemma":[0.00046424798,0.000112763504,0.00010683794,0.0030441165,0.0002938434,0.0004517249,0.00047875798,0.0004626962,0.017120548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012964928,0.00004776154,0.015647754,0.0001677193,0.000012385014,0.00035453663,0.00067204586,0.0001370923,0.00044701225,0.017017657,0.80556005,0.15980636],"study_design_scores_gemma":[0.0000021641697,0.0000057440493,0.0117107285,0.00007339241,0.000002039061,0.000044560915,0.00021836058,0.0000140032735,0.000094644274,0.00013814647,0.9876944,0.000001727366],"about_ca_topic_score_codex":0.24555895,"about_ca_topic_score_gemma":0.43234962,"teacher_disagreement_score":0.24555895,"about_ca_system_score_codex":0.004985741,"about_ca_system_score_gemma":0.0042078467,"threshold_uncertainty_score":0.48825926},"labels":[],"label_agreement":null},{"id":"W7028608272","doi":"","title":"1990 Front Materials: First Quarter","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Front (military); Quarter (Canadian coin); Gloom; Period (music)","score_opus":0.03644223580734753,"score_gpt":0.23794509003540457,"score_spread":0.20150285422805703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028608272","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008626728,0.007689909,0.0021807284,0.0063752686,0.007118844,0.00021754781,0.008169855,0.0012518117,0.95836926],"genre_scores_gemma":[0.01084439,0.0025640456,0.00090315373,0.0008408149,0.00060309895,0.000051365616,0.0028902146,0.0003607177,0.98094225],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995208,0.000020887646,0.000017588593,0.00006600608,0.00030660996,0.0000681055],"domain_scores_gemma":[0.999097,0.00008282235,0.000044947952,0.000108209904,0.00048038716,0.00018675804],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007221028,0.0008815898,0.0006548486,0.0030813592,0.001929348,0.0030329016,0.0008850169,0.001607101,0.49135828],"category_scores_gemma":[0.0013810996,0.0005105766,0.0004984934,0.0014772838,0.00047329723,0.0014839577,0.0011446822,0.0012504458,0.2842215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018319317,0.000118909724,0.000618995,0.00029750814,0.000008786004,0.000079169564,0.000027260205,0.00017110805,0.004901454,0.0048275352,0.8173545,0.17141153],"study_design_scores_gemma":[0.000013067822,0.00004570301,0.0017433894,0.00006336158,0.000006038004,0.00007366001,0.000032015636,0.00022473339,0.0024379217,0.0011211386,0.99423355,0.000005432019],"about_ca_topic_score_codex":0.005070127,"about_ca_topic_score_gemma":0.020237891,"teacher_disagreement_score":0.5086417,"about_ca_system_score_codex":0.0025577608,"about_ca_system_score_gemma":0.0017765125,"threshold_uncertainty_score":0.72551566},"labels":[],"label_agreement":null},{"id":"W7028675215","doi":"","title":"2000 Front Materials- Quarter 1","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"European history and politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Front (military); Gloom; Window (computing); Period (music)","score_opus":0.048096614346254424,"score_gpt":0.27750810681553706,"score_spread":0.22941149246928264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028675215","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002748877,0.00047255793,0.00016893464,0.0029197293,0.0025558143,0.00014253086,0.0046422957,0.00060002867,0.9857491],"genre_scores_gemma":[0.0018579948,0.00012277019,0.000036295332,0.00044519428,0.00018689713,0.000018044317,0.0008645972,0.000100457095,0.9963677],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999582,0.000028713019,0.000016638165,0.000079007244,0.00019093616,0.00010275479],"domain_scores_gemma":[0.9987703,0.00020869765,0.000048341328,0.00016782734,0.00044117292,0.00036365178],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005562588,0.0010114359,0.0005751566,0.0021136878,0.002367376,0.006061672,0.0009567231,0.0041628447,0.84889275],"category_scores_gemma":[0.0018456463,0.00047038525,0.0005481351,0.001431445,0.0005574033,0.0018522658,0.0015030324,0.0016676703,0.7139961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015727496,0.00017005122,0.0006841604,0.00012999628,0.000005455652,0.00010562587,0.000036617548,0.000072450566,0.0005942014,0.0026940594,0.9306885,0.06466165],"study_design_scores_gemma":[0.000031736643,0.00004449356,0.0037623737,0.00008824095,0.0000041848066,0.00003298682,0.00011465267,0.00012229261,0.0003810971,0.000699679,0.9947101,0.000008109961],"about_ca_topic_score_codex":0.0075605,"about_ca_topic_score_gemma":0.026888123,"teacher_disagreement_score":0.15110725,"about_ca_system_score_codex":0.0020194617,"about_ca_system_score_gemma":0.0015940535,"threshold_uncertainty_score":0.21553618},"labels":[],"label_agreement":null},{"id":"W7028729948","doi":"","title":"Farm Income, Financial Conditions and Government Assistance - Data Book","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compendium; Government (linguistics); Agriculture; Section (typography); Resource (disambiguation); Key (lock)","score_opus":0.029779071802645073,"score_gpt":0.2650128761150383,"score_spread":0.23523380431239324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028729948","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033320435,0.002166781,0.00077779003,0.0019466766,0.0017303776,0.00040527576,0.7165233,0.0015244127,0.27159336],"genre_scores_gemma":[0.013061841,0.003893853,0.0030624457,0.001282778,0.00046967418,0.00077386905,0.6362885,0.0009262269,0.34024087],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987914,0.0000980686,0.000121798825,0.00012635154,0.00078945846,0.00007301085],"domain_scores_gemma":[0.99572635,0.0012723374,0.00035209535,0.00043989447,0.002006841,0.00020255166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007385637,0.00055209413,0.0008087492,0.0036110121,0.0004453254,0.0026693349,0.0010468663,0.00051621423,0.1497063],"category_scores_gemma":[0.005941548,0.00060706254,0.00029398798,0.008493997,0.00015945773,0.0017015508,0.0006234323,0.001208137,0.13908808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015310603,0.000020890939,0.00081508176,0.00009830923,0.000003057673,0.000012301335,0.000014579415,0.00014075232,0.000027977863,0.0010324304,0.9747697,0.023049664],"study_design_scores_gemma":[0.000015128349,0.000020310976,0.011704423,0.00014941429,0.0000031095121,0.00005396657,0.00005690002,0.00016613049,0.00009154896,0.00067841343,0.98704684,0.000013864059],"about_ca_topic_score_codex":0.018977767,"about_ca_topic_score_gemma":0.020587176,"teacher_disagreement_score":0.1497063,"about_ca_system_score_codex":0.00164896,"about_ca_system_score_gemma":0.0024443052,"threshold_uncertainty_score":0.5008175},"labels":[],"label_agreement":null},{"id":"W7033077520","doi":"","title":"Pesticides: Health impacts and alternatives. Proceedings of a workshop held in Colombo, 24 January 2002","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; International Development Research Centre","keywords":"Government (linguistics); Public health; Agrochemical; Developing country; Rural area; Occupational safety and health; Incidence (geometry); Poison control","score_opus":0.030846218564947736,"score_gpt":0.30662999360028514,"score_spread":0.2757837750353374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033077520","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038837146,0.57466835,0.0014806337,0.19021852,0.03644487,0.0008605834,0.0016884392,0.00011030426,0.15569116],"genre_scores_gemma":[0.13888884,0.27033964,0.0030666324,0.016055109,0.01518066,0.00071860803,0.0013489369,0.00009119076,0.5543103],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997008,0.00007738353,0.000016897675,0.000043349315,0.0000920739,0.000069518326],"domain_scores_gemma":[0.9996445,0.00009479799,0.000022569167,0.000008922665,0.00009012192,0.0001391707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013627704,0.0012416443,0.00041063887,0.0005522215,0.0017149647,0.0013800313,0.0008566627,0.0020998998,0.031582374],"category_scores_gemma":[0.0007987075,0.00028078782,0.000274075,0.00039766319,0.0007369849,0.0010459194,0.0018465953,0.0016847429,0.0024143036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007621566,0.00038081003,0.00233681,0.0027146598,0.000041214138,0.001791855,0.0043202285,0.00053214876,0.010692541,0.0027237087,0.57390684,0.39979702],"study_design_scores_gemma":[0.000037415077,0.00017866697,0.005426865,0.0007244585,0.0000232191,0.00030870383,0.0023298543,0.00006212924,0.0011993749,0.00086865405,0.9888256,0.000015131307],"about_ca_topic_score_codex":0.010926825,"about_ca_topic_score_gemma":0.04574193,"teacher_disagreement_score":0.031582374,"about_ca_system_score_codex":0.0018834403,"about_ca_system_score_gemma":0.0023661894,"threshold_uncertainty_score":0.105653584},"labels":[],"label_agreement":null},{"id":"W7035697143","doi":"","title":"African Water Laws: Plural Legislative Frameworks For Rural Water Management in Africa: an international workshop, Johannesburg, South Africa, 26-28 January 2005.","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department for International Development; European Commission; Netherlands Organization for International Cooperation in Higher Education; University of Pretoria; University of California, Davis; International Development Research Centre; United States Agency for International Development","keywords":"Legislature; Water trading; Plural; Water sector; Administration (probate law); Water industry; Integrated water resources management; Water use; Water resources; Water utility","score_opus":0.03517070490108255,"score_gpt":0.27412148948828635,"score_spread":0.2389507845872038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7035697143","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03420708,0.38532513,0.009554951,0.396398,0.00987129,0.0013939681,0.0015347014,0.00023618252,0.16147873],"genre_scores_gemma":[0.2800839,0.19182009,0.014139006,0.020473816,0.0021905568,0.0019830028,0.0010047347,0.00029661262,0.4880083],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907684,0.00038034382,0.00006836972,0.00009182209,0.00013024041,0.00025232526],"domain_scores_gemma":[0.9986051,0.0007065732,0.00015415861,0.000055917433,0.00017401417,0.00030429236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005505161,0.0010309686,0.0003278505,0.0016586209,0.0055706883,0.004143567,0.0013784578,0.005086466,0.016649263],"category_scores_gemma":[0.0044085626,0.00096539303,0.00031070912,0.0029108177,0.0028838261,0.006648853,0.004164893,0.0037950326,0.001415223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000136351,0.0003053097,0.0019347707,0.002027047,0.000019017181,0.0018966777,0.10217244,0.00097499817,0.004016465,0.14224018,0.53121305,0.2130637],"study_design_scores_gemma":[0.0000102173335,0.000014772138,0.00341947,0.0011184105,0.0000056764484,0.00016511469,0.015298301,0.00006550382,0.00034957915,0.003857315,0.97568685,0.00000890972],"about_ca_topic_score_codex":0.024644377,"about_ca_topic_score_gemma":0.045915414,"teacher_disagreement_score":0.024644377,"about_ca_system_score_codex":0.0057071303,"about_ca_system_score_gemma":0.013636444,"threshold_uncertainty_score":0.05569738},"labels":[],"label_agreement":null},{"id":"W7035714033","doi":"","title":"Agricultural Trade Policy Issues in the Eighties, Current Research and Long-Term Forecasting","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic Research Service","keywords":"Agriculture; Commercial policy; Trade barrier; Agricultural policy; Economic integration; Free trade; World trade; Policy analysis; Technical barriers to trade","score_opus":0.07727847056076208,"score_gpt":0.3233448392622568,"score_spread":0.24606636870149473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7035714033","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040674288,0.22726272,0.03267277,0.6474817,0.006548019,0.000039077695,0.0020548515,0.00018243377,0.043084234],"genre_scores_gemma":[0.61173826,0.29611927,0.021436444,0.025596188,0.00668708,0.00011842443,0.0022482807,0.000120914796,0.0359351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801767,0.0005488662,0.00020195164,0.00045010028,0.0005947957,0.00018675922],"domain_scores_gemma":[0.9932191,0.0033787077,0.0010295297,0.0005172662,0.001505421,0.00034997865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007864222,0.0006268137,0.00095038454,0.0016110842,0.0021572781,0.008848576,0.0012413935,0.004223111,0.0050141555],"category_scores_gemma":[0.020683309,0.00040091464,0.00056088367,0.0062063546,0.004758717,0.011799324,0.0016524572,0.0061905785,0.0008021318],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020601705,0.00014537679,0.013081087,0.0005968047,0.00007792844,0.00030940984,0.0016536207,0.03527044,0.00039087894,0.56498283,0.09829323,0.28499243],"study_design_scores_gemma":[0.000013727817,0.000047780723,0.0076592164,0.0013413485,0.000025908874,0.00008749877,0.0031466533,0.015567384,0.00028756497,0.7188811,0.2528648,0.00007701368],"about_ca_topic_score_codex":0.07692194,"about_ca_topic_score_gemma":0.04970458,"teacher_disagreement_score":0.07692194,"about_ca_system_score_codex":0.012289599,"about_ca_system_score_gemma":0.008106852,"threshold_uncertainty_score":0.15294838},"labels":[],"label_agreement":null},{"id":"W7036866302","doi":"","title":"A Comparative Study of Agricultural Marketing Legislation in Canada, Australia, United Kingdom and the United States","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Kingdom; Agriculture; Agricultural marketing","score_opus":0.10204858088039373,"score_gpt":0.2650611761234264,"score_spread":0.16301259524303266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036866302","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934505,0.00052629376,0.00003315538,0.00029108822,0.000006904242,0.000017898186,0.00026522065,0.000002482128,0.0054065576],"genre_scores_gemma":[0.9961766,0.0005063835,0.00008443577,0.00015085631,0.000002762073,0.000008203499,0.0002251786,0.0000030703388,0.0028426042],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988142,0.00019095569,0.00004518193,0.00009091452,0.0004232632,0.00043549167],"domain_scores_gemma":[0.9942848,0.0012002945,0.0009084693,0.000082057464,0.0026844086,0.00083990593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010311464,0.00012701724,0.00036710242,0.0028530618,0.005010327,0.002186062,0.00068117824,0.00056270853,0.0035661876],"category_scores_gemma":[0.00414157,0.00022968535,0.00024303372,0.007967831,0.0014404799,0.00077118224,0.0011110011,0.0008486204,0.00017060025],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052861456,0.00048813195,0.842384,0.00029752523,0.000117320036,0.0009130335,0.09151386,0.00026288835,0.001196338,0.0041784225,0.004378841,0.053741023],"study_design_scores_gemma":[0.000003623538,0.000041128984,0.95214903,0.00005145469,0.000019717518,0.000044144446,0.041593388,0.00010064391,0.00009496604,0.000025747066,0.005867163,0.00000903957],"about_ca_topic_score_codex":0.9850573,"about_ca_topic_score_gemma":0.99629575,"teacher_disagreement_score":0.03322556,"about_ca_system_score_codex":0.03322556,"about_ca_system_score_gemma":0.028966403,"threshold_uncertainty_score":0.24106944},"labels":[],"label_agreement":null},{"id":"W7037086228","doi":"","title":"A Development Program for Canadian Agriculture","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.03676729234630456,"score_gpt":0.23264459072726537,"score_spread":0.1958772983809608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037086228","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01340039,0.002132645,0.00477938,0.017122896,0.002676313,0.001306431,0.033914674,0.0034495797,0.9212177],"genre_scores_gemma":[0.0137306955,0.000878811,0.0048285746,0.0012043638,0.000051175914,0.00015249367,0.006485946,0.00022220182,0.9724459],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998833,0.00005806349,0.00002290741,0.00011623662,0.00070135324,0.00026857018],"domain_scores_gemma":[0.9939289,0.00015776837,0.000051829193,0.0002595657,0.004276037,0.0013258957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001294325,0.00067044416,0.0003163295,0.0023714642,0.0038125268,0.0020520478,0.0012442778,0.00085661496,0.21797322],"category_scores_gemma":[0.0021769416,0.00038316738,0.00040239986,0.0019229027,0.0004969756,0.0005678645,0.0011420621,0.0010765411,0.034506563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087812594,0.00012175815,0.002750647,0.000104423445,0.0000062012,0.00012836429,0.00023252725,0.0001464918,0.001967919,0.009762913,0.8348206,0.14987019],"study_design_scores_gemma":[0.00001333549,0.000020077658,0.0046362756,0.00002600545,0.0000037938637,0.000034517598,0.00016963118,0.000168176,0.0003076728,0.00021014524,0.99440515,0.0000051832444],"about_ca_topic_score_codex":0.9170719,"about_ca_topic_score_gemma":0.95982933,"teacher_disagreement_score":0.21797322,"about_ca_system_score_codex":0.019750122,"about_ca_system_score_gemma":0.11805523,"threshold_uncertainty_score":0.7291931},"labels":[],"label_agreement":null},{"id":"W7037305201","doi":"","title":"Effects on Competitiveness of Government Interventions in the Agri-Food Sector in Canada and the United States [A Conceptual Framework]","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Government (linguistics); Identification (biology); Work (physics); Public policy; Plan (archaeology); Order (exchange); Policy analysis","score_opus":0.06574665725591942,"score_gpt":0.3228518619459232,"score_spread":0.25710520469000375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037305201","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44117236,0.008553961,0.0034242107,0.0170804,0.0002427211,0.0016846929,0.0020775553,0.000088806584,0.52567524],"genre_scores_gemma":[0.98393506,0.0038132383,0.0022816109,0.0013261033,0.00002380464,0.0004762372,0.00027961,0.000019527864,0.007844732],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98537284,0.003839668,0.00023366082,0.00064907054,0.0035054889,0.0063992175],"domain_scores_gemma":[0.9917956,0.0021029403,0.00082609075,0.00013254941,0.0033392254,0.0018036935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006404895,0.00097561954,0.0010512107,0.005949619,0.011610236,0.012772619,0.0024261002,0.0018252296,0.008433516],"category_scores_gemma":[0.0129143745,0.00039083892,0.001066416,0.007229761,0.013850109,0.0023025034,0.007053916,0.0021930053,0.00019336614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00054757146,0.00084804307,0.09101532,0.0015552752,0.0004398174,0.00044337386,0.013713592,0.019084929,0.00086836005,0.7878968,0.010790088,0.07279675],"study_design_scores_gemma":[0.00057145447,0.0012659882,0.5214367,0.005092643,0.002006965,0.00017568168,0.14970075,0.018796384,0.0030907786,0.11232109,0.18517046,0.0003709985],"about_ca_topic_score_codex":0.97735286,"about_ca_topic_score_gemma":0.9830536,"teacher_disagreement_score":0.75600576,"about_ca_system_score_codex":0.24399427,"about_ca_system_score_gemma":0.33010235,"threshold_uncertainty_score":0.8768595},"labels":[],"label_agreement":null},{"id":"W7038015691","doi":"","title":"Foreign Agricultural Trade of the United States December 1966","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Value (mathematics); Declaration; Exportation; Quarter (Canadian coin); Agribusiness","score_opus":0.04550916810719708,"score_gpt":0.2822077719935027,"score_spread":0.23669860388630565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038015691","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03058125,0.0064481376,0.0002700556,0.0023614846,0.0027953433,0.00005975448,0.105523884,0.00028966658,0.8516703],"genre_scores_gemma":[0.07580462,0.005799195,0.00043682806,0.00049340515,0.00037155874,0.00006422197,0.04645436,0.000069789254,0.8705059],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983025,0.000015985064,0.000016045178,0.000041583273,0.000060801773,0.000035337947],"domain_scores_gemma":[0.99963856,0.000048712907,0.00004854725,0.000039292194,0.00017298413,0.00005184908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001787138,0.0004031305,0.0001518932,0.0013515152,0.00085012085,0.0013460623,0.00021759668,0.00025962442,0.050861828],"category_scores_gemma":[0.0007611579,0.00015106873,0.00012450131,0.0023113086,0.00021262646,0.00044536742,0.00048672076,0.00057337503,0.025599897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026015015,0.000061925755,0.019387262,0.00018703206,0.000014657238,0.00017147222,0.00033628274,0.00021020877,0.0005562427,0.008753628,0.8543034,0.115757756],"study_design_scores_gemma":[0.0000072929533,0.000020184441,0.04596935,0.0000791939,0.0000041139183,0.000040866227,0.00016405838,0.00007280449,0.0002371178,0.0002145861,0.95318615,0.0000043049813],"about_ca_topic_score_codex":0.074317925,"about_ca_topic_score_gemma":0.120246865,"teacher_disagreement_score":0.074317925,"about_ca_system_score_codex":0.0015320815,"about_ca_system_score_gemma":0.0013685309,"threshold_uncertainty_score":0.1701498},"labels":[],"label_agreement":null},{"id":"W7038157290","doi":"","title":"Foreign Agricultural Trade of the United States April 1964","year":2017,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Profit (economics); Clothing; International market; Sugar","score_opus":0.035413072413573374,"score_gpt":0.1972129261608195,"score_spread":0.16179985374724615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038157290","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002205424,0.0048990613,0.00007271579,0.0014568234,0.0025366535,0.000031632462,0.007368867,0.00019090885,0.98123795],"genre_scores_gemma":[0.008659977,0.0046937745,0.00016927949,0.0006979354,0.00036597604,0.000043871325,0.0058873063,0.0000584683,0.97942334],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99983096,0.000012377497,0.000012776565,0.000040778858,0.00006480503,0.000038202314],"domain_scores_gemma":[0.99981564,0.000014232735,0.000014529695,0.000019332774,0.000097970704,0.000038274226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017913316,0.0006596504,0.0001963683,0.0017431232,0.0013196372,0.002497185,0.00030822316,0.00065323536,0.25782984],"category_scores_gemma":[0.00046741733,0.0001831527,0.00021762367,0.002226036,0.00022537014,0.00078022806,0.0008744956,0.00083630066,0.20679787],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073038245,0.00004200185,0.0020518443,0.00014947364,0.00000609648,0.00017074806,0.000101414,0.000075325326,0.00045902736,0.0069119376,0.87229556,0.11766368],"study_design_scores_gemma":[0.0000028227205,0.0000057937523,0.0029024624,0.000066144996,0.0000014772511,0.00003274196,0.00003922031,0.000015653502,0.00006554093,0.00010851084,0.9967578,0.000001733132],"about_ca_topic_score_codex":0.024804553,"about_ca_topic_score_gemma":0.037713226,"teacher_disagreement_score":0.25782984,"about_ca_system_score_codex":0.0015923785,"about_ca_system_score_gemma":0.0017520497,"threshold_uncertainty_score":0.8625268},"labels":[],"label_agreement":null},{"id":"W7038208572","doi":"","title":"Foreign Agricultural Trade of the United States March 1963","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; European community; Quarter (Canadian coin); Free trade; International market; Market share","score_opus":0.02436628724535956,"score_gpt":0.22114492706298375,"score_spread":0.1967786398176242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038208572","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024248615,0.0069109704,0.00008890032,0.0024683536,0.0029724026,0.00002930249,0.006250247,0.00019934816,0.9786557],"genre_scores_gemma":[0.012336277,0.007188907,0.00021134561,0.0009709903,0.00051208626,0.00004138627,0.0057006422,0.00007077692,0.9729677],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998166,0.000012571226,0.00001381111,0.000040091847,0.00007679849,0.00004017095],"domain_scores_gemma":[0.99981076,0.000012460411,0.000016242067,0.000018384026,0.00009828213,0.00004386383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022065055,0.0006263335,0.0001848563,0.0016533289,0.0013574687,0.0030387077,0.00032206075,0.00069260935,0.24548203],"category_scores_gemma":[0.0005292554,0.0001589454,0.00023436142,0.0023194598,0.00023415324,0.00083736924,0.0009769603,0.0008682714,0.16729996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006301596,0.00003360499,0.0017571581,0.00013231047,0.0000066534985,0.0001576019,0.00009842593,0.00006221389,0.00039355,0.008261345,0.87926817,0.10976595],"study_design_scores_gemma":[0.0000027331434,0.00000430328,0.0019086242,0.0000635577,0.000001525198,0.00003218304,0.000036816597,0.000016223368,0.000060590766,0.00012897166,0.9977429,0.0000016117907],"about_ca_topic_score_codex":0.025416628,"about_ca_topic_score_gemma":0.039129797,"teacher_disagreement_score":0.24548203,"about_ca_system_score_codex":0.0019744865,"about_ca_system_score_gemma":0.0022507086,"threshold_uncertainty_score":0.8212192},"labels":[],"label_agreement":null},{"id":"W7038262756","doi":"","title":"GMOs and the global trading system","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convention; Opposition (politics); Biosafety; Genetically modified organism; Conference of the parties","score_opus":0.035444129613019966,"score_gpt":0.20461400975179017,"score_spread":0.1691698801387702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038262756","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04185528,0.012240877,0.0026321057,0.036947843,0.00032067322,0.000019954288,0.00007069675,0.00005060266,0.90586185],"genre_scores_gemma":[0.9252445,0.008026318,0.001963237,0.0065864585,0.00034801828,0.00003939566,0.000068300185,0.000040674757,0.05768308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922013,0.0003051699,0.000021862332,0.00012081629,0.00018775869,0.0001442237],"domain_scores_gemma":[0.99964976,0.000110235924,0.00005495397,0.00005527232,0.00006097189,0.000068798865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012907641,0.00017561943,0.00019390398,0.0007891505,0.0027427047,0.0062722885,0.00033630806,0.0014967937,0.010625874],"category_scores_gemma":[0.00132333,0.00008697226,0.00012760492,0.0012962766,0.007955569,0.0034031477,0.0026113384,0.0014293302,0.0007321457],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008189908,0.000006301773,0.0006801827,0.000019414289,0.0000033052527,0.000060329905,0.0012269412,0.00034720823,0.00016158844,0.9689472,0.0062853247,0.022254014],"study_design_scores_gemma":[0.000009945526,0.000017524995,0.0028069825,0.00015269581,0.0000043663363,0.00008415127,0.0015446135,0.00058483594,0.000087728484,0.64091676,0.35378128,0.000009204425],"about_ca_topic_score_codex":0.005652228,"about_ca_topic_score_gemma":0.005324447,"teacher_disagreement_score":0.010625874,"about_ca_system_score_codex":0.003669288,"about_ca_system_score_gemma":0.0023426842,"threshold_uncertainty_score":0.035547078},"labels":[],"label_agreement":null},{"id":"W7038492060","doi":"","title":"IFPRI PERSPECTIVES - Volume 23, 1st Quarter 2001","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mathematical Analysis and Transform Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Poverty; Volume (thermodynamics); Climbing; Agriculture; Social assistance","score_opus":0.09943652476127839,"score_gpt":0.3425369811305328,"score_spread":0.24310045636925443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038492060","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015980494,0.11181658,0.00069548876,0.16297977,0.0155312205,0.000029124203,0.0028931214,0.0001853329,0.70427144],"genre_scores_gemma":[0.019198162,0.06123465,0.00084018806,0.010594149,0.0040988773,0.00005980217,0.0012674913,0.00022960441,0.90247715],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994241,0.000113684575,0.00002776364,0.00009128263,0.0002269743,0.00011629021],"domain_scores_gemma":[0.9993223,0.00020214698,0.00007332578,0.000057446032,0.00025339998,0.00009140521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008912558,0.00083713984,0.00046713252,0.0017433688,0.002037055,0.010090073,0.0006875251,0.0049239006,0.13522491],"category_scores_gemma":[0.0027843416,0.00043893533,0.0003145456,0.004343518,0.0011133177,0.0044798725,0.0011188292,0.0037652098,0.031931236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029243323,0.000019800995,0.00025581528,0.00020903938,0.0000051297725,0.00006528925,0.00038383657,0.00008361818,0.00009662375,0.027891623,0.9456641,0.02529585],"study_design_scores_gemma":[0.000003150576,0.0000038750386,0.0005699016,0.00019818448,0.0000031467052,0.00003526673,0.0003407576,0.000024126086,0.000057545254,0.0019353753,0.9968262,0.0000025379843],"about_ca_topic_score_codex":0.023238825,"about_ca_topic_score_gemma":0.033775583,"teacher_disagreement_score":0.13522491,"about_ca_system_score_codex":0.0040840437,"about_ca_system_score_gemma":0.003544172,"threshold_uncertainty_score":0.45237237},"labels":[],"label_agreement":null},{"id":"W7039312082","doi":"","title":"Marketing plan for The Bank of Nova Scotia","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Loan; Government (linguistics); Portfolio; Market analysis; Plan (archaeology); Market research","score_opus":0.06250880548000266,"score_gpt":0.29063469577210754,"score_spread":0.2281258902921049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039312082","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022176642,0.0020234452,0.00047711682,0.012418348,0.0018476067,0.0006201789,0.0058624553,0.00033726162,0.9542369],"genre_scores_gemma":[0.021648267,0.0005855641,0.0005728599,0.0014159022,0.00008466801,0.00008040959,0.0014808523,0.000040562794,0.97409093],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996879,0.000015643802,0.00000704149,0.000031853364,0.00013744277,0.000120182725],"domain_scores_gemma":[0.99911374,0.00004121123,0.000025333102,0.000035119443,0.00045602475,0.00032845952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003529601,0.00029992528,0.00014213283,0.0007954505,0.0023202377,0.0023480365,0.00037554922,0.00094302744,0.19099401],"category_scores_gemma":[0.00070421206,0.00020489727,0.00013897059,0.00060392317,0.00028436581,0.0004005515,0.0006312245,0.0010516173,0.038792066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020604875,0.00007196195,0.0038786482,0.00009811804,0.00000468099,0.0005456641,0.0003230766,0.00021109846,0.0021901398,0.011302424,0.905383,0.07578509],"study_design_scores_gemma":[0.00001725512,0.000025614483,0.011206132,0.00003530079,0.0000018985454,0.000058508078,0.00024859686,0.00011610337,0.000116667885,0.00015800557,0.9880084,0.000007464462],"about_ca_topic_score_codex":0.56385624,"about_ca_topic_score_gemma":0.8173264,"teacher_disagreement_score":0.43614376,"about_ca_system_score_codex":0.0056503736,"about_ca_system_score_gemma":0.013424946,"threshold_uncertainty_score":0.8774246},"labels":[],"label_agreement":null},{"id":"W7042572862","doi":"","title":"Proceedings of a workshop 10-13 June 1996 Bali, Indonesia: Jembrana Disease and the Bovine Lentiviruses","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Ontario; U.S. Department of Agriculture","keywords":"Disease; Immune system; Isolation (microbiology); MEDLINE","score_opus":0.044700543002697636,"score_gpt":0.23982728402560569,"score_spread":0.19512674102290806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042572862","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3006776,0.081883855,0.007915093,0.17547691,0.14513703,0.001877353,0.004170587,0.00024027299,0.28262132],"genre_scores_gemma":[0.20842469,0.016907621,0.0031942702,0.005904147,0.012253703,0.00035425083,0.0017486563,0.000160581,0.75105214],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993594,0.00018373124,0.00004237724,0.00008291476,0.00013885146,0.0001926262],"domain_scores_gemma":[0.9987294,0.00020505926,0.00010365687,0.00004320431,0.00028751566,0.000631144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029049087,0.0009636437,0.00043147168,0.00043918708,0.002379152,0.0029003902,0.0009633702,0.0020313591,0.033226162],"category_scores_gemma":[0.0014052418,0.00030231843,0.00052706804,0.0002649457,0.0006996455,0.00096411305,0.0022617048,0.0028154578,0.0044559184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035939156,0.0019956413,0.036585893,0.001572592,0.00021036151,0.008967865,0.011829127,0.001015425,0.024176192,0.004190504,0.5900335,0.315829],"study_design_scores_gemma":[0.00006580636,0.00039435085,0.030797426,0.00053494243,0.000065344335,0.0006069591,0.006744785,0.00022102581,0.0035026958,0.0008009725,0.956236,0.000029714196],"about_ca_topic_score_codex":0.010818653,"about_ca_topic_score_gemma":0.028918883,"teacher_disagreement_score":0.033226162,"about_ca_system_score_codex":0.0014787341,"about_ca_system_score_gemma":0.0025956181,"threshold_uncertainty_score":0.11115259},"labels":[],"label_agreement":null},{"id":"W7043298641","doi":"","title":"Social Impact Assessment of the Proposed Dodds-Roundhill Coal Gasification Project","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Defense Acquisition Program Administration; University of Alberta","keywords":"Nucleofection; Articular cartilage damage; Gestational period; Diafiltration; TSG101; Hyporeflexia","score_opus":0.050705182944534605,"score_gpt":0.35355316507523155,"score_spread":0.30284798213069697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043298641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9457285,0.00014319715,0.0049380832,0.0012757365,0.000030625164,0.002812677,0.0007419334,0.00009962729,0.0442295],"genre_scores_gemma":[0.9519224,0.00047098426,0.024299316,0.00010671133,0.000008704456,0.0011167782,0.0010807331,0.00001846306,0.0209758],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975847,0.0008439228,0.00005210264,0.000111933194,0.0011021218,0.00030521397],"domain_scores_gemma":[0.998156,0.00035623604,0.000113327216,0.000079637015,0.00095316337,0.00034169122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005467913,0.00053249137,0.00022110248,0.0013175325,0.0028747017,0.001634759,0.001085724,0.00064521004,0.0027759864],"category_scores_gemma":[0.0027999375,0.0002249721,0.00022468915,0.00094469823,0.0008827834,0.00058420456,0.0018691621,0.00064729125,0.00022307986],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017606063,0.00482258,0.24479586,0.0011866738,0.00012892165,0.0036101893,0.040756613,0.056327812,0.016481623,0.022585606,0.025626687,0.5819168],"study_design_scores_gemma":[0.0005600911,0.007997966,0.47346774,0.0007972139,0.00019026289,0.0006222158,0.22182828,0.053230163,0.041782085,0.010030629,0.18924783,0.00024549654],"about_ca_topic_score_codex":0.17944655,"about_ca_topic_score_gemma":0.5066883,"teacher_disagreement_score":0.17944655,"about_ca_system_score_codex":0.011504254,"about_ca_system_score_gemma":0.02232352,"threshold_uncertainty_score":0.35680413},"labels":[],"label_agreement":null},{"id":"W7045170547","doi":"","title":"Abstracts of Selected Papers; NAREA Annual Meetings, Halifax, Nova Scotia, June 20-23, 2004","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Altitude (triangle); Nova scotia; Lightning (connector)","score_opus":0.03582141795996583,"score_gpt":0.2899332458670048,"score_spread":0.25411182790703896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045170547","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008753126,0.40211934,0.0007433211,0.01777683,0.06991163,0.0024498703,0.25258318,0.00058430247,0.24507836],"genre_scores_gemma":[0.015979338,0.14696082,0.0011258981,0.0019061592,0.0070054093,0.0010281026,0.05013244,0.00021284129,0.7756491],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993563,0.000067062436,0.00008285569,0.000056693858,0.00034647883,0.00009065322],"domain_scores_gemma":[0.994991,0.00051669555,0.00046713604,0.00008261911,0.003100969,0.00084156764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017101322,0.0017867899,0.0016374718,0.00753161,0.0013973676,0.0033236314,0.0012028585,0.0007895774,0.15419787],"category_scores_gemma":[0.005238869,0.00047425446,0.00055715576,0.007984719,0.00036967982,0.0008182158,0.0009189695,0.00065327366,0.046396438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045161817,0.000016692265,0.00039014264,0.0017304774,0.000034106004,0.000048768896,0.00003968023,0.00006250046,0.0003027343,0.000066073604,0.9757117,0.021145487],"study_design_scores_gemma":[0.00017284912,0.0000507972,0.018106567,0.0025279261,0.000111234156,0.00003344008,0.00018725806,0.000055885554,0.00027172297,0.0001232622,0.9783438,0.000015165074],"about_ca_topic_score_codex":0.218049,"about_ca_topic_score_gemma":0.41592136,"teacher_disagreement_score":0.781951,"about_ca_system_score_codex":0.010999582,"about_ca_system_score_gemma":0.013766157,"threshold_uncertainty_score":0.5158433},"labels":[],"label_agreement":null},{"id":"W7045574642","doi":"","title":"An Assessment of Pesticide Regulatory Issues and their Impact on the Availability of Pesticides in the Canadian Horticulture Sector","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pesticide; Agriculture; Pesticide residue; Agrochemical; Pesticide application","score_opus":0.02638196070857578,"score_gpt":0.30656524213049446,"score_spread":0.2801832814219187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045574642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8290475,0.009352012,0.0013737635,0.016519742,0.00007785179,0.0003473827,0.003572874,0.000071708055,0.1396371],"genre_scores_gemma":[0.9769046,0.006802396,0.0015044935,0.0015193557,0.00001640515,0.000029739962,0.0006674129,0.000010490488,0.012545088],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99520195,0.00031623917,0.00011344055,0.00015374405,0.003329772,0.0008848971],"domain_scores_gemma":[0.99350524,0.0006615082,0.0006851155,0.000063119835,0.004692406,0.00039259144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018525319,0.000405948,0.00017421761,0.0024531973,0.0043853666,0.0032460636,0.0012850227,0.0011233868,0.0026736087],"category_scores_gemma":[0.003722416,0.00021969348,0.0005986882,0.004158216,0.0013989081,0.00074662577,0.00083211594,0.0010412595,0.00013255542],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012494591,0.0006660488,0.58293134,0.0014921459,0.0003273491,0.0037713759,0.007511601,0.016002227,0.030001115,0.02951326,0.0313249,0.29520917],"study_design_scores_gemma":[0.000020894024,0.00027354795,0.8796546,0.00032453102,0.00018757212,0.00024999966,0.018656388,0.0038180836,0.0054568304,0.0014944894,0.08975443,0.000108566484],"about_ca_topic_score_codex":0.9877115,"about_ca_topic_score_gemma":0.9954645,"teacher_disagreement_score":0.057297036,"about_ca_system_score_codex":0.057297036,"about_ca_system_score_gemma":0.09336171,"threshold_uncertainty_score":0.41572106},"labels":[],"label_agreement":null},{"id":"W7045698865","doi":"","title":"Canadian Wheat Stabilization Operations, 1929-35","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Yield (engineering); Crop; Work (physics); Period (music); Scale (ratio)","score_opus":0.034059605638443576,"score_gpt":0.22218131682955977,"score_spread":0.1881217111911162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045698865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64367026,0.013482214,0.0006743048,0.010614119,0.0004494292,0.00014601818,0.016741069,0.0002352856,0.31398737],"genre_scores_gemma":[0.8549407,0.004684299,0.00066154555,0.0004571214,0.000039508286,0.000017958062,0.0032712144,0.000027132422,0.13590045],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942696,0.00001212359,0.000010137273,0.00005510985,0.00026826232,0.0002273751],"domain_scores_gemma":[0.9992067,0.00003131419,0.000053753713,0.000019192761,0.0005305296,0.00015858722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028043627,0.00025103905,0.00011360458,0.0014896848,0.0051866216,0.0018552241,0.00060817826,0.00044854707,0.006293163],"category_scores_gemma":[0.0011758058,0.00018046057,0.00014183039,0.0034050841,0.000985588,0.00043333892,0.00066890084,0.00057423586,0.0005782945],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013336868,0.00014956816,0.16985796,0.0007420218,0.00008864874,0.0029763526,0.022750631,0.0026630028,0.009313631,0.11041593,0.26028717,0.41942134],"study_design_scores_gemma":[0.000011326546,0.00005312102,0.36976463,0.000059442194,0.000018455876,0.00012821857,0.0047774217,0.00034131084,0.0015973434,0.00056681444,0.6226478,0.000034104192],"about_ca_topic_score_codex":0.995276,"about_ca_topic_score_gemma":0.9986733,"teacher_disagreement_score":0.082680725,"about_ca_system_score_codex":0.082680725,"about_ca_system_score_gemma":0.055887893,"threshold_uncertainty_score":0.59989345},"labels":[],"label_agreement":null},{"id":"W7046767147","doi":"","title":"Foreign Agricultural Trade of the United States May 1963","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Tariff; Quarter (Canadian coin); Ad valorem tax; Free trade","score_opus":0.023923930197591134,"score_gpt":0.24143450519098353,"score_spread":0.21751057499339238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7046767147","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029025408,0.022236805,0.00018465894,0.005992635,0.0058681555,0.00005208644,0.04443398,0.00029214934,0.8919142],"genre_scores_gemma":[0.10360886,0.01771663,0.00036432064,0.0016487807,0.0011974762,0.000061748935,0.026167965,0.00009225825,0.84914196],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99984884,0.00000967985,0.000012959348,0.000028838842,0.00006662772,0.00003298368],"domain_scores_gemma":[0.9997919,0.000019196988,0.000027673179,0.00001576322,0.000109161316,0.000036320107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017766636,0.00047840626,0.00015349213,0.00177274,0.0010759886,0.0022618112,0.00021598978,0.0004812328,0.040780596],"category_scores_gemma":[0.00056873716,0.00012797584,0.00020389089,0.0024442144,0.00020651302,0.0005454292,0.0004750917,0.00061479764,0.021634657],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000323454,0.000060240807,0.014192292,0.00022116501,0.000027564109,0.00046702052,0.00031842582,0.00025086408,0.0008121852,0.010739511,0.8331257,0.13946152],"study_design_scores_gemma":[0.0000058694377,0.000013474463,0.0188477,0.0000861264,0.0000059047293,0.00006642061,0.00011101252,0.00005738661,0.00024036333,0.00023313015,0.98032904,0.000003564111],"about_ca_topic_score_codex":0.058819834,"about_ca_topic_score_gemma":0.09215033,"teacher_disagreement_score":0.058819834,"about_ca_system_score_codex":0.0027129939,"about_ca_system_score_gemma":0.0018425961,"threshold_uncertainty_score":0.13642472},"labels":[],"label_agreement":null},{"id":"W7047355874","doi":"","title":"1990 Front Materials: Second Quarter","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Quarter (Canadian coin); Front (military); Window (computing)","score_opus":0.02068592755261226,"score_gpt":0.2475709567917721,"score_spread":0.22688502923915985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7047355874","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005640521,0.0006770504,0.00023033304,0.002401868,0.0063680196,0.000100103985,0.002823654,0.000959269,0.98587567],"genre_scores_gemma":[0.00067346136,0.0002427707,0.00006130459,0.00053875445,0.00040021195,0.000016447168,0.0010512468,0.000137231,0.9968785],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996124,0.000015535445,0.000016355456,0.000068927504,0.000231958,0.0000548631],"domain_scores_gemma":[0.9989248,0.00013139234,0.000037008107,0.00013573808,0.00048849615,0.0002825724],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044422643,0.0012276524,0.0008713523,0.0015553345,0.0028053068,0.006544307,0.0010454765,0.0026642645,0.9292812],"category_scores_gemma":[0.0016659477,0.0005825215,0.0008345466,0.001194321,0.0005814731,0.0019579392,0.0015736507,0.002539759,0.89233506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042743875,0.00007011382,0.0001376896,0.000079302285,0.0000031523023,0.00003834541,0.000010980843,0.000022470951,0.00040234884,0.0009462519,0.96563417,0.03261251],"study_design_scores_gemma":[0.000014929029,0.00002674812,0.0006180323,0.000067127636,0.0000019897514,0.000029332128,0.000045332898,0.000045305576,0.00018365444,0.00037911674,0.9985826,0.0000058405626],"about_ca_topic_score_codex":0.003391567,"about_ca_topic_score_gemma":0.01022131,"teacher_disagreement_score":0.9292812,"about_ca_system_score_codex":0.0010595425,"about_ca_system_score_gemma":0.0012839333,"threshold_uncertainty_score":0.1008718},"labels":[],"label_agreement":null},{"id":"W7051818595","doi":"","title":"Personal Report: Biography of Douglas Hedley","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; College of Engineering, Michigan State University; Michigan State University","keywords":"Biography; Theme (computing); Period (music)","score_opus":0.02399427188740656,"score_gpt":0.2596878273686174,"score_spread":0.23569355548121085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7051818595","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014568229,0.024521831,0.004293777,0.13919848,0.08322926,0.0002448218,0.0071007973,0.0008903571,0.72595245],"genre_scores_gemma":[0.009705704,0.0017190075,0.0003308472,0.0037271264,0.0017936819,0.000013536542,0.00021835792,0.00007953023,0.98241216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937904,0.000059267055,0.000028775414,0.00014503482,0.00029818076,0.00008959945],"domain_scores_gemma":[0.99743193,0.00037873277,0.00015677653,0.00019947655,0.0013641892,0.00046883678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007412215,0.00050914555,0.000429347,0.0011066213,0.0023026008,0.0019398126,0.000574747,0.0010654107,0.1624444],"category_scores_gemma":[0.0036778587,0.00025487953,0.00018394008,0.00080087956,0.00046202142,0.0016402791,0.0010346555,0.0017958448,0.08926846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047199333,0.000028013954,0.0008302418,0.000046701793,0.0000035210714,0.00018002819,0.00029561316,0.000036441914,0.0005707279,0.0016734607,0.9566946,0.039593413],"study_design_scores_gemma":[0.0000017273364,0.000011169207,0.0008480873,0.000017722774,0.0000023393761,0.00018452363,0.00020977894,0.000023885905,0.00033411125,0.00016155055,0.99820065,0.0000044051444],"about_ca_topic_score_codex":0.006337801,"about_ca_topic_score_gemma":0.015066648,"teacher_disagreement_score":0.1624444,"about_ca_system_score_codex":0.0011649295,"about_ca_system_score_gemma":0.0015457923,"threshold_uncertainty_score":0.5434307},"labels":[],"label_agreement":null},{"id":"W7052226145","doi":"","title":"Proceedings of an ACIAR/ICRISAT collaborative \\nresearch planning meeting held at Genting \\nHighlands, Malaysia 18-19 March, 1990: Bacterial Wilt of Groundnut","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Fund for Agricultural Development; Chinese Academy of Agricultural Sciences; International Development Research Centre; United Nations Development Programme; World Bank Group","keywords":"Bacterial wilt; Crop production; Disease control","score_opus":0.031852395034991876,"score_gpt":0.28406918162983313,"score_spread":0.25221678659484126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7052226145","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070566125,0.027806414,0.007918357,0.09147607,0.034839712,0.0013917461,0.021019977,0.0010859089,0.74389565],"genre_scores_gemma":[0.021683019,0.0020058467,0.001165538,0.0011543125,0.000526047,0.000057482437,0.0022204232,0.00020137471,0.97098595],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926823,0.00009576747,0.000017871946,0.000080020385,0.00030916862,0.00022904165],"domain_scores_gemma":[0.9986343,0.00011678645,0.000047649504,0.000052233718,0.0005062031,0.0006428862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019618305,0.00078619353,0.00046125992,0.0013622306,0.005007758,0.0039893785,0.0009225545,0.0015558582,0.072244264],"category_scores_gemma":[0.0015993158,0.00039164413,0.0004480157,0.0014424106,0.0010083162,0.0014331616,0.0025259566,0.0019052277,0.021117138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004916122,0.00015529497,0.0028118556,0.00015163189,0.000011437958,0.00038246266,0.001777506,0.00050949055,0.0020151744,0.0023639863,0.9429706,0.04635894],"study_design_scores_gemma":[0.00001585706,0.000041268584,0.0072976155,0.00007164572,0.000008001379,0.000049228845,0.0017095724,0.0001602371,0.0007309996,0.00034655473,0.9895573,0.000011745271],"about_ca_topic_score_codex":0.24060488,"about_ca_topic_score_gemma":0.5648936,"teacher_disagreement_score":0.24060488,"about_ca_system_score_codex":0.007197545,"about_ca_system_score_gemma":0.012562434,"threshold_uncertainty_score":0.4784088},"labels":[],"label_agreement":null},{"id":"W7053159653","doi":"","title":"Understanding the relationship between Pacific Alliance and the mega-regional agreements in Asia-Pacific: what we learned from the GTAP simulation","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Alliance; Context (archaeology); General partnership; Negotiation; Tariff; Economic impact analysis; Trade facilitation; Relevance (law); Economic integration","score_opus":0.2258310470044189,"score_gpt":0.3084923322164394,"score_spread":0.08266128521202051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7053159653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47109368,0.008680419,0.09777757,0.10966767,0.0010135071,0.0002341499,0.0019417903,0.00024463894,0.30934665],"genre_scores_gemma":[0.96331745,0.006075022,0.020261131,0.0020293097,0.00019053266,0.00018513082,0.00041822373,0.00010515461,0.007417977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985903,0.00096593215,0.00004577812,0.00011871201,0.00011347581,0.0001657135],"domain_scores_gemma":[0.99231964,0.0057161497,0.00040607335,0.00028201178,0.00056473864,0.0007113853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029788439,0.00055512215,0.0007062942,0.00088235823,0.0015138375,0.0060012434,0.002150373,0.0029019061,0.009308262],"category_scores_gemma":[0.011292194,0.00043093078,0.0010890207,0.00221264,0.0028339305,0.009877215,0.0031134451,0.0049681086,0.00047957373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007109469,0.00016942632,0.016495729,0.0003843537,0.0001440384,0.000636176,0.0027048774,0.39053252,0.00014118335,0.56022674,0.010105968,0.01838792],"study_design_scores_gemma":[0.000065924476,0.00007241002,0.0061369953,0.00076755835,0.00010374116,0.00012562968,0.009156319,0.43995982,0.0001429197,0.48963642,0.05373865,0.0000935921],"about_ca_topic_score_codex":0.09071083,"about_ca_topic_score_gemma":0.059121527,"teacher_disagreement_score":0.09071083,"about_ca_system_score_codex":0.004807872,"about_ca_system_score_gemma":0.0055860514,"threshold_uncertainty_score":0.18036562},"labels":[],"label_agreement":null},{"id":"W7054457320","doi":"","title":"Abstracts of Selected Papers: NAREA Annual Meetings, Quebec City, June 29 to July 1, 2008","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exclosure; Altitude (triangle); Productivity; Lightning (connector)","score_opus":0.014755984356813339,"score_gpt":0.2529820492407567,"score_spread":0.23822606488394335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7054457320","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00676897,0.14132884,0.0013572263,0.030697074,0.12015696,0.0018375987,0.082613684,0.0012234721,0.61401623],"genre_scores_gemma":[0.004618515,0.011079315,0.0003635108,0.0010773957,0.0039052947,0.0001374488,0.008228153,0.00015886422,0.9704316],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909806,0.000056074085,0.000039745308,0.000098381555,0.0005255668,0.00018215664],"domain_scores_gemma":[0.9951788,0.00016581194,0.00015437386,0.00007989518,0.0036258732,0.0007952592],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016858098,0.0015972042,0.0012648188,0.004251909,0.0022345826,0.0039679483,0.0015072505,0.0016274932,0.4261088],"category_scores_gemma":[0.0029844958,0.00039572417,0.0006957146,0.0035833847,0.0003827762,0.00095259194,0.0010104453,0.0009611313,0.1482441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078820674,0.000019703308,0.00014504463,0.0001679594,0.000007844262,0.000020961765,0.0000106214875,0.000033382858,0.00016577449,0.000079660545,0.98614234,0.013127932],"study_design_scores_gemma":[0.00003393688,0.000024649562,0.0043187793,0.0002855809,0.00001748958,0.000012096967,0.00006781284,0.000043163825,0.00015248,0.0000833942,0.99495244,0.000008188755],"about_ca_topic_score_codex":0.28035924,"about_ca_topic_score_gemma":0.5862108,"teacher_disagreement_score":0.71964073,"about_ca_system_score_codex":0.011571842,"about_ca_system_score_gemma":0.015580254,"threshold_uncertainty_score":0.8185861},"labels":[],"label_agreement":null},{"id":"W7055157867","doi":"","title":"Canadian hunters' behavior change preferences based on perceived risk of zoonotic infection from wood bison.","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Risk perception; Behavior change; Consumer behaviour; Risk assessment; Risk communication; Behaviour change","score_opus":0.0368914705341678,"score_gpt":0.24633567830917588,"score_spread":0.20944420777500808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7055157867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974757,0.00007925303,0.000040100986,0.00016557545,0.0000068597697,0.00001193902,0.00017945912,0.0000016334019,0.0020395059],"genre_scores_gemma":[0.9982962,0.00009083141,0.00010068428,0.0001082603,0.0000019406714,0.000006271134,0.00016553947,0.0000016167991,0.0012287428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962664,0.000063333464,0.000008174122,0.000046143134,0.00012808239,0.00012752612],"domain_scores_gemma":[0.9989427,0.00020543681,0.00019844946,0.000036145364,0.0002444646,0.0003728323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005497812,0.00016775205,0.00017307186,0.00043669704,0.0014360797,0.00080383423,0.00041332006,0.00052100373,0.0035032122],"category_scores_gemma":[0.0022332359,0.00014918347,0.00025258932,0.00054578023,0.00071736187,0.00022510877,0.00031604615,0.00062118587,0.00024336718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006610943,0.00029708815,0.97158414,0.00003657892,0.00011521505,0.0001376559,0.008157638,0.00037459223,0.0012990081,0.00022982273,0.003397903,0.0137092285],"study_design_scores_gemma":[0.000007914948,0.00006753083,0.99277747,0.000015869247,0.00001681038,0.000033280525,0.0059965276,0.00029777197,0.00005385476,0.00004732769,0.00066993455,0.000015718686],"about_ca_topic_score_codex":0.9346127,"about_ca_topic_score_gemma":0.9822811,"teacher_disagreement_score":0.06538731,"about_ca_system_score_codex":0.0041021863,"about_ca_system_score_gemma":0.0039957133,"threshold_uncertainty_score":0.13154471},"labels":[],"label_agreement":null},{"id":"W7055260734","doi":"","title":"Comparative Levels of Wheat Prices in the United States and Canada","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Government (linguistics); Quality (philosophy); Yield (engineering); Production (economics); Consumption (sociology)","score_opus":0.03939734363475747,"score_gpt":0.2810664343978374,"score_spread":0.24166909076307994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7055260734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738843,0.001246165,0.00006929265,0.0011467249,0.000018356559,0.000008169027,0.009623591,0.000024681482,0.013978746],"genre_scores_gemma":[0.9930615,0.00065790914,0.00006862583,0.000089394394,0.000005071966,0.0000019571428,0.0024378793,0.000006608136,0.0036710103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995272,0.00002524377,0.000023198281,0.00006027606,0.00017220773,0.0001919261],"domain_scores_gemma":[0.99784064,0.0001844175,0.0002923531,0.000029526222,0.0012872679,0.00036571472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023813176,0.00015456545,0.0002391536,0.0019312734,0.0013999862,0.0025787079,0.00056530046,0.00041558113,0.0035340437],"category_scores_gemma":[0.0016548763,0.00020974866,0.00037231724,0.006895964,0.0006322972,0.00043391992,0.0005318632,0.0005299652,0.00024731562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006598879,0.000055012868,0.9507821,0.00010758975,0.0002709864,0.00041823814,0.0018581317,0.0021260283,0.0010877326,0.009384978,0.013742671,0.019506607],"study_design_scores_gemma":[0.0000083339755,0.000010381955,0.99390525,0.000015525908,0.000025553894,0.00003678592,0.0016889538,0.00055067625,0.00011300312,0.00011341966,0.0035197614,0.000012282848],"about_ca_topic_score_codex":0.99297136,"about_ca_topic_score_gemma":0.9972699,"teacher_disagreement_score":0.022809906,"about_ca_system_score_codex":0.022809906,"about_ca_system_score_gemma":0.01448954,"threshold_uncertainty_score":0.16549826},"labels":[],"label_agreement":null},{"id":"W7055292024","doi":"","title":"Climatic Effects and Farming Performance: An Overview of Selected Studies","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Productivity; Agricultural productivity; Food security; Microdata (statistics); Production (economics); Population","score_opus":0.08212227622468747,"score_gpt":0.2899697496852794,"score_spread":0.2078474734605919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7055292024","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062833023,0.9881136,0.00058866566,0.00084222644,0.00018750952,0.000046596095,0.0009973359,0.000014735649,0.002926084],"genre_scores_gemma":[0.02207468,0.9749792,0.00090035354,0.00031269388,0.00037648578,0.00007212806,0.00081412686,0.000015274802,0.0004550413],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9985555,0.00036638844,0.0004290003,0.0002963168,0.0002475,0.00010535627],"domain_scores_gemma":[0.988063,0.009330872,0.0014269529,0.00018456818,0.0008110197,0.00018352507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027825083,0.000982305,0.0013717826,0.012671212,0.0005985898,0.0028794885,0.00087737385,0.0010923664,0.0064496724],"category_scores_gemma":[0.009053399,0.0005108351,0.0022617823,0.028053062,0.0005693755,0.0019350307,0.0011657547,0.0010338234,0.0010949242],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063774514,0.00030347833,0.06182665,0.20807536,0.0037013474,0.0011939257,0.003311083,0.0011922065,0.0011139702,0.009372021,0.024884762,0.68438745],"study_design_scores_gemma":[0.00005693645,0.00045355552,0.2190114,0.20150043,0.00800987,0.003806884,0.006090776,0.00056010956,0.00094169175,0.008010213,0.5513815,0.00017659322],"about_ca_topic_score_codex":0.004938545,"about_ca_topic_score_gemma":0.0052748024,"teacher_disagreement_score":0.012671212,"about_ca_system_score_codex":0.001374529,"about_ca_system_score_gemma":0.0019662639,"threshold_uncertainty_score":0.021576285},"labels":[],"label_agreement":null},{"id":"W7055478443","doi":"","title":"The Economic Potential for Concentrated Apple Juice Production in Canada","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Economic potential; Yield (engineering); Consumption (sociology); Economic production","score_opus":0.013734340064239951,"score_gpt":0.2268085203847843,"score_spread":0.21307418032054434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7055478443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91122293,0.0059594517,0.00045430192,0.0045054844,0.000061352875,0.00008265818,0.004903771,0.00006639024,0.07274362],"genre_scores_gemma":[0.983096,0.0021495214,0.00033143512,0.00015515195,0.000010295786,0.000008389891,0.0006706862,0.000008248735,0.013570216],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995383,0.000022143759,0.000009315285,0.000051879244,0.00021020474,0.00016817551],"domain_scores_gemma":[0.99900645,0.00008788204,0.00005154817,0.000012963021,0.0005805278,0.00026060868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004089559,0.000256992,0.00017210963,0.0018176654,0.0024804072,0.0036514215,0.00076509215,0.000536452,0.006434352],"category_scores_gemma":[0.0010545242,0.00021426272,0.00051749905,0.001875632,0.0008181869,0.00066742516,0.00073319545,0.00063897186,0.00029870792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006047867,0.0007194016,0.465221,0.0015901331,0.0005450134,0.007280233,0.0050404225,0.014432159,0.06046961,0.0845217,0.040510014,0.31362244],"study_design_scores_gemma":[0.0001301643,0.00040666707,0.7912081,0.00042298582,0.00025910122,0.00041513477,0.012352073,0.007894658,0.012424055,0.0034945854,0.17082703,0.000165499],"about_ca_topic_score_codex":0.98153895,"about_ca_topic_score_gemma":0.9922191,"teacher_disagreement_score":0.07385412,"about_ca_system_score_codex":0.07385412,"about_ca_system_score_gemma":0.043142837,"threshold_uncertainty_score":0.53585166},"labels":[],"label_agreement":null},{"id":"W7055920922","doi":"","title":"Economic Impacts of Longer Lay Cycle: The Case of the Canadian Egg Industry","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic impact analysis; Production (economics); Agriculture; Agricultural productivity; Food security; Food processing; Agribusiness; Food industry","score_opus":0.018631561518578015,"score_gpt":0.22544217573693362,"score_spread":0.20681061421835562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7055920922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89362967,0.0019228007,0.0006718511,0.010009264,0.000046838355,0.000051334737,0.00087829423,0.000022947064,0.09276698],"genre_scores_gemma":[0.9914432,0.00073161925,0.00011066845,0.00023198486,0.000010519544,0.000004075727,0.00008701515,0.0000045601982,0.007376311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99928826,0.000053389165,0.0000077860595,0.000034406563,0.00008286317,0.00053337135],"domain_scores_gemma":[0.99861634,0.0003231446,0.00015786328,0.00004606011,0.0004244772,0.00043206607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009163612,0.00031996774,0.00046943946,0.0008624327,0.0040556705,0.0036774902,0.001183113,0.002312996,0.010812348],"category_scores_gemma":[0.0026885427,0.00020652032,0.00069211185,0.0014557914,0.0021474732,0.001244547,0.0012062306,0.0016552741,0.0002393409],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019251936,0.0010071899,0.26659065,0.00042979867,0.00039509908,0.010373025,0.0045587043,0.14798868,0.005752831,0.42412817,0.04410531,0.0927453],"study_design_scores_gemma":[0.0002765948,0.0005137402,0.6235932,0.000349327,0.0006451998,0.0008668432,0.05916749,0.120315954,0.0015037067,0.08186344,0.110513955,0.0003905274],"about_ca_topic_score_codex":0.96725,"about_ca_topic_score_gemma":0.9838374,"teacher_disagreement_score":0.03275001,"about_ca_system_score_codex":0.03018474,"about_ca_system_score_gemma":0.018513564,"threshold_uncertainty_score":0.21900666},"labels":[],"label_agreement":null},{"id":"W7056086539","doi":"","title":"Economic Harmonization in the Canadian/ U.S./ Mexican Grain-Livestock Subsector","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Royal Bank of Canada; Agricultural and Applied Economics Association","keywords":"Government (linguistics); Economic globalization; Economic integration; Harmonization; Globalization; Free trade","score_opus":0.027409162761306897,"score_gpt":0.22603965949139918,"score_spread":0.19863049673009228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7056086539","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34726867,0.008680619,0.00045784476,0.028788907,0.00035760002,0.000083647086,0.0005800177,0.000054478285,0.6137281],"genre_scores_gemma":[0.9222395,0.004747499,0.0005455306,0.0024936572,0.00005720233,0.000031752992,0.0003095991,0.000041439944,0.0695339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997948,0.00017922283,0.000025651378,0.00009755325,0.0008013625,0.000948242],"domain_scores_gemma":[0.9993807,0.00006770354,0.0000507513,0.00002478507,0.00031605575,0.00015992674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015207133,0.00017230224,0.00020364588,0.0015707748,0.011426491,0.0055457763,0.000651123,0.0006724771,0.0060167676],"category_scores_gemma":[0.0015110624,0.00015271692,0.00019322164,0.0035241267,0.0021319664,0.0006944583,0.0021949115,0.00092116155,0.00015039823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025340635,0.0001271382,0.06016131,0.00023693901,0.000055845576,0.0013637218,0.053007707,0.0012209772,0.0018431467,0.46775463,0.23891228,0.17506284],"study_design_scores_gemma":[0.000012772674,0.000024249839,0.13801607,0.00012567347,0.000029702798,0.000101836005,0.054381184,0.00025865287,0.00048398128,0.0030142139,0.80352527,0.00002638581],"about_ca_topic_score_codex":0.9529218,"about_ca_topic_score_gemma":0.97871757,"teacher_disagreement_score":0.0481027,"about_ca_system_score_codex":0.0481027,"about_ca_system_score_gemma":0.06589684,"threshold_uncertainty_score":0.34901112},"labels":[],"label_agreement":null},{"id":"W7056312690","doi":"","title":"The Drivers of GHG Emissions Intensity Improvements in Major Economies Analysis of Trends 1995-2009","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Production (economics); Consumption (sociology); Intensity (physics); Emission intensity; Energy intensity; Climate change","score_opus":0.017150631128329038,"score_gpt":0.2536897870489874,"score_spread":0.23653915592065838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7056312690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97731155,0.0010709029,0.00095738535,0.00061076897,0.00001310172,0.000031270964,0.010977162,0.000052995973,0.008974931],"genre_scores_gemma":[0.98756146,0.0013297228,0.00091412524,0.00008519435,0.000016932941,0.000028245091,0.007637351,0.000014092267,0.0024129339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997198,0.000020036614,0.00003073689,0.0000666129,0.000089098554,0.00007360694],"domain_scores_gemma":[0.99919015,0.000081121696,0.00033317166,0.000034206856,0.0003228958,0.000038441172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040834275,0.00026471115,0.00024919782,0.001582806,0.00023930577,0.00074137194,0.00023159852,0.00021307761,0.0012940401],"category_scores_gemma":[0.0012598855,0.00018307676,0.00056108984,0.0036320863,0.00016089153,0.0005583956,0.00048162608,0.00039893825,0.00031957874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025005947,0.00006824292,0.93188924,0.00033296,0.00035080255,0.00032656337,0.00065478357,0.0069587007,0.004825875,0.0037608624,0.0029878877,0.04759403],"study_design_scores_gemma":[0.000001886762,0.000023869372,0.99167633,0.000013946496,0.000026522775,0.000047585043,0.00024813722,0.00076472334,0.0008990017,0.00010254441,0.0061894115,0.0000060229677],"about_ca_topic_score_codex":0.05058758,"about_ca_topic_score_gemma":0.057394568,"teacher_disagreement_score":0.05058758,"about_ca_system_score_codex":0.0014342525,"about_ca_system_score_gemma":0.0009118071,"threshold_uncertainty_score":0.100586295},"labels":[],"label_agreement":null},{"id":"W7056958143","doi":"","title":"Harmonization/Convergence/ Compatibility in Agricultural and Agri-Food Policy: Canada, United States and Mexico","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Compatibility (geochemistry); Agricultural productivity; Sustainability","score_opus":0.01755570928697413,"score_gpt":0.23170610304687791,"score_spread":0.21415039375990377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7056958143","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83918417,0.002341158,0.0007307932,0.04922328,0.000054768945,0.00013742202,0.0008737783,0.000027687523,0.107426986],"genre_scores_gemma":[0.9904537,0.0006513179,0.0005078127,0.0016947143,0.000008766045,0.00003701358,0.00014406562,0.0000074603777,0.006495268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99638164,0.00056740816,0.00009997337,0.00023054423,0.00062063575,0.002099701],"domain_scores_gemma":[0.9969078,0.000658341,0.00036288815,0.00013241738,0.0010874509,0.00085119146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036745074,0.0001367896,0.00037579954,0.0015321573,0.007231411,0.006279711,0.0013001679,0.0018457439,0.0043072416],"category_scores_gemma":[0.0058864965,0.00022612586,0.00032613342,0.0033196846,0.003550061,0.0015744548,0.0031588282,0.0016504406,0.00008110558],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007709999,0.00034425192,0.24707621,0.00029466805,0.00028398036,0.0006373677,0.018754758,0.0061874324,0.0014629764,0.62100863,0.028221136,0.074957564],"study_design_scores_gemma":[0.00017446818,0.00010991937,0.6972491,0.00040094604,0.00027286322,0.00009363801,0.07940972,0.0031439438,0.0014381412,0.02832093,0.18928145,0.000104887906],"about_ca_topic_score_codex":0.9662585,"about_ca_topic_score_gemma":0.9809717,"teacher_disagreement_score":0.0625679,"about_ca_system_score_codex":0.0625679,"about_ca_system_score_gemma":0.1302848,"threshold_uncertainty_score":0.453964},"labels":[],"label_agreement":null},{"id":"W7057781048","doi":"","title":"Is fertilizer too expensive for $2 corn?","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Liquation; Dysgeusia; Triacetin; Hemopericardium; Hyporeflexia","score_opus":0.04885078174741779,"score_gpt":0.2840114698722945,"score_spread":0.23516068812487667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7057781048","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06175828,0.04042467,0.0020436712,0.7473643,0.0077762282,0.000060295883,0.0010823817,0.00020461643,0.13928552],"genre_scores_gemma":[0.52184373,0.052647036,0.0046936623,0.35958442,0.0038569008,0.00007509361,0.00095445645,0.0002461511,0.056098554],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989085,0.00019184883,0.000067887966,0.00017450453,0.000435881,0.00022143898],"domain_scores_gemma":[0.9973847,0.0010718906,0.00057424203,0.000081123915,0.00051728456,0.00037067826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016256991,0.00024648488,0.0003092849,0.00060224015,0.001112812,0.0023348683,0.0005980643,0.0031485239,0.029671498],"category_scores_gemma":[0.008135037,0.00016798254,0.00037254838,0.00073363085,0.0019213166,0.0024539814,0.0006970074,0.0020052113,0.003018635],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015650383,0.00026781825,0.049187124,0.0012546752,0.00022793106,0.002723869,0.00081057154,0.0006499301,0.009876895,0.05833932,0.37083474,0.50426203],"study_design_scores_gemma":[0.00008233229,0.00035562104,0.033512663,0.0014779073,0.0001273316,0.0021765581,0.0051394147,0.00035045942,0.0021538623,0.045963872,0.9085447,0.00011537049],"about_ca_topic_score_codex":0.022299629,"about_ca_topic_score_gemma":0.039219443,"teacher_disagreement_score":0.029671498,"about_ca_system_score_codex":0.002820646,"about_ca_system_score_gemma":0.0046058544,"threshold_uncertainty_score":0.099261045},"labels":[],"label_agreement":null},{"id":"W7057925004","doi":"","title":"Liberalizing Foreign Direct Investment Restrictions in Canada: A Multi-Country Computable General Equilibrium Analysis","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Foreign direct investment; Spillover effect; General equilibrium theory; Stock (firearms); Welfare; Point (geometry); Capital (architecture); Investment (military)","score_opus":0.02806381522852804,"score_gpt":0.24079739571021028,"score_spread":0.21273358048168223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7057925004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7232521,0.002138245,0.13441722,0.0055036778,0.00016200593,0.0002897887,0.0056554824,0.0005557388,0.12802576],"genre_scores_gemma":[0.97115606,0.0009358947,0.014074791,0.00020279501,0.000020262518,0.00009064781,0.00079420366,0.000041587802,0.01268371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995927,0.000100590114,0.000009652172,0.00005886397,0.00006204054,0.0001760727],"domain_scores_gemma":[0.99905425,0.00046107807,0.00009736112,0.000031054355,0.00026292566,0.0000933952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008006945,0.00090605405,0.0014530711,0.000967726,0.0015065789,0.0023562966,0.0015955628,0.0016462691,0.005170639],"category_scores_gemma":[0.0029383723,0.0005564876,0.0015499236,0.0015684696,0.0013704292,0.0011092975,0.0011578883,0.001241111,0.0002742585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000261378,0.000016581083,0.0010906664,0.000018503588,0.000019051831,0.00007299693,0.000021863872,0.98245734,0.00009023413,0.014475408,0.0006305996,0.001080557],"study_design_scores_gemma":[0.000040665516,0.000016047221,0.00092387176,0.000012166437,0.000033845557,0.000014513142,0.000101833655,0.99326444,0.00009185333,0.0041311304,0.0013514417,0.000018161525],"about_ca_topic_score_codex":0.92177135,"about_ca_topic_score_gemma":0.8493846,"teacher_disagreement_score":0.07822865,"about_ca_system_score_codex":0.01635817,"about_ca_system_score_gemma":0.01702929,"threshold_uncertainty_score":0.15737867},"labels":[],"label_agreement":null},{"id":"W7057962279","doi":"","title":"MASTERS THESES IN AGRICULTURAL ECONOMICS WESTERN U.S. STATES AND CANADIAN PROVINCES, 1976-77 ADDENDUM","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Liquation; Dysgeusia; Diafiltration; Triacetin; Emperipolesis; Demotion","score_opus":0.01784524442491267,"score_gpt":0.2191156480277208,"score_spread":0.20127040360280812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7057962279","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015905984,0.03221458,0.0010059925,0.07766675,0.017543595,0.00031134856,0.07911142,0.00050656433,0.7757338],"genre_scores_gemma":[0.025840916,0.012763676,0.0006220943,0.0008587837,0.00082651776,0.0000597863,0.0060948827,0.000102111204,0.9528312],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.998676,0.00007409697,0.00006485295,0.00012007768,0.00067730946,0.00038759256],"domain_scores_gemma":[0.99116397,0.0006207074,0.00016474283,0.0002882151,0.0055896845,0.0021727136],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0021772182,0.0009335535,0.0008781972,0.004561441,0.0070100427,0.0030848356,0.0013432296,0.0008943183,0.14674677],"category_scores_gemma":[0.006358296,0.0004932609,0.0005503186,0.008231951,0.0013298157,0.0018305724,0.0014541986,0.0017504883,0.02404631],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000301104,0.00003681604,0.002842533,0.000120865036,0.000004372695,0.000044880708,0.00061063294,0.00030408657,0.0000826007,0.008627338,0.9439634,0.04333251],"study_design_scores_gemma":[0.0000064201968,0.000011066193,0.034398753,0.00018530009,0.0000055893006,0.000023239054,0.0018701978,0.00014391754,0.000119132994,0.001141223,0.9620838,0.000011348918],"about_ca_topic_score_codex":0.9413125,"about_ca_topic_score_gemma":0.98441756,"teacher_disagreement_score":0.9954386,"about_ca_system_score_codex":0.050310947,"about_ca_system_score_gemma":0.113607824,"threshold_uncertainty_score":0.49091685},"labels":[],"label_agreement":null},{"id":"W7058540870","doi":"","title":"Modeling Extremes of Wheat and Maize Crop Performance in the Tropics","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tropics; Crop; Zea mays; Quality (philosophy); Identification (biology); Winter wheat","score_opus":0.03244668965680631,"score_gpt":0.22308000247751242,"score_spread":0.1906333128207061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7058540870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032587,0.00011988724,0.0060684537,0.00020159589,0.0000128143665,0.000014689993,0.00056926406,0.000068977555,0.0026183596],"genre_scores_gemma":[0.998389,0.000071057526,0.0008768959,0.000021810507,0.0000044095823,0.000011631582,0.00014970635,0.000010163714,0.00046533695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999074,0.000033590994,0.0000026087853,0.00002685696,0.0000093138815,0.000020233007],"domain_scores_gemma":[0.99975437,0.00015030919,0.000030114003,0.000013840695,0.000026827714,0.000024534025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040152276,0.00043155375,0.00025211147,0.00021984057,0.00020931374,0.00043912316,0.00055174873,0.00075606245,0.00065645727],"category_scores_gemma":[0.0010014094,0.00022642444,0.00054392905,0.00040195053,0.0003455863,0.00043230085,0.0003114381,0.00043159857,0.00008719763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010147287,0.000027445883,0.009254735,0.000013471762,0.00003315,0.00005596739,0.00004432581,0.9860766,0.0019658022,0.00074962346,0.00021609466,0.0014612942],"study_design_scores_gemma":[0.000026184396,0.00006593425,0.012626994,0.000003879031,0.000019405608,0.000019920151,0.0000855605,0.9851215,0.00080531416,0.0008094558,0.0004033131,0.000012571536],"about_ca_topic_score_codex":0.04120371,"about_ca_topic_score_gemma":0.02400747,"teacher_disagreement_score":0.04120371,"about_ca_system_score_codex":0.0009703111,"about_ca_system_score_gemma":0.0004293429,"threshold_uncertainty_score":0.08192778},"labels":[],"label_agreement":null},{"id":"W7061246488","doi":"","title":"O.A.C. Agricultural Conference '77 University of Guelph Proceedings A National Food Policy","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Food supply; Food security; Food systems; Food processing; Public policy","score_opus":0.0346092211937655,"score_gpt":0.2545167029968934,"score_spread":0.21990748180312789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7061246488","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0079436395,0.024335999,0.0004965729,0.08870987,0.016823316,0.00025698158,0.0021247952,0.0002102353,0.8590987],"genre_scores_gemma":[0.006295485,0.0021349094,0.00027793768,0.004301644,0.00037815998,0.000045618388,0.00015542182,0.000034341854,0.9863766],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989506,0.00014031024,0.000026823356,0.00019907828,0.0003563412,0.00032694527],"domain_scores_gemma":[0.9990526,0.000253961,0.00002806751,0.000051568935,0.00037111033,0.00024264741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009779297,0.0006487837,0.00034440553,0.0010942979,0.006546307,0.004336284,0.00081918086,0.0052078953,0.15649801],"category_scores_gemma":[0.0026532968,0.0004461705,0.0004178522,0.000922766,0.0013349996,0.0008784487,0.0015708116,0.0023428826,0.02493899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064056585,0.000031518884,0.00038918311,0.00016123938,0.0000050368308,0.00032336678,0.00033093482,0.00009655068,0.00047480463,0.0123675475,0.96016103,0.025594823],"study_design_scores_gemma":[0.0000028807435,0.000004516565,0.00077934004,0.00005284482,0.0000014320381,0.000014191259,0.00015466785,0.000018165338,0.00008534731,0.00023142637,0.9986519,0.000003437909],"about_ca_topic_score_codex":0.31822127,"about_ca_topic_score_gemma":0.61724395,"teacher_disagreement_score":0.6817787,"about_ca_system_score_codex":0.012414206,"about_ca_system_score_gemma":0.020200325,"threshold_uncertainty_score":0.632738},"labels":[],"label_agreement":null},{"id":"W7061417258","doi":"","title":"Policy Harmonization and Adjustment in the North American Agricultural and Food Industry","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; International Fine Particle Research Institute; Inter-American Institute for Global Change Research; Cooperative State Research, Education, and Extension Service; European Commission; Johns Hopkins University","keywords":"Agriculture; Government (linguistics); Private sector; Harmonization; Technical barriers to trade; Commercial policy; Public policy; Free trade; Trade barrier","score_opus":0.027235770809564807,"score_gpt":0.27220559360799934,"score_spread":0.24496982279843454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7061417258","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16789946,0.048045807,0.0025042049,0.2951381,0.00314768,0.00008589024,0.000117797514,0.00013236528,0.48292866],"genre_scores_gemma":[0.8541961,0.021767989,0.0014237645,0.020402411,0.0011822004,0.000118307,0.00015246942,0.00006338704,0.10069348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970024,0.0012864467,0.00008759966,0.00024699917,0.00066220213,0.0007143273],"domain_scores_gemma":[0.99864215,0.0006078831,0.0002447722,0.000073722935,0.00030337152,0.00012810764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031811588,0.00015634792,0.00021469299,0.0010225382,0.0061229407,0.008455036,0.00068528694,0.0018365853,0.0036858737],"category_scores_gemma":[0.0043130554,0.00019738497,0.00021774176,0.0022889583,0.003782443,0.0026836186,0.0021923701,0.0021809598,0.00019278182],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112979425,0.00013521724,0.0075593535,0.0005060058,0.00003637817,0.0005083025,0.04421571,0.0020709862,0.000823814,0.6219564,0.20017882,0.12189592],"study_design_scores_gemma":[0.000008693746,0.000016249614,0.02491477,0.00027195926,0.000010265367,0.000062887855,0.02383797,0.00038774454,0.00029022034,0.037124448,0.9130553,0.000019407204],"about_ca_topic_score_codex":0.06707654,"about_ca_topic_score_gemma":0.11623784,"teacher_disagreement_score":0.93292344,"about_ca_system_score_codex":0.015765373,"about_ca_system_score_gemma":0.017126301,"threshold_uncertainty_score":0.13337219},"labels":[],"label_agreement":null},{"id":"W7062746612","doi":"","title":"Understanding Canada/United States Grain Disputes","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agricultural Marketing Service; University of Minnesota; University of Missouri; Government of Canada; Iowa State University; Agriculture and Agri-Food Canada; Michigan State University; College of Engineering, Michigan State University; University of Manitoba; U.S. Department of Agriculture","keywords":"Foundation (evidence); Work (physics); Government (linguistics); State (computer science); Field (mathematics)","score_opus":0.0696035388064178,"score_gpt":0.24294915006274673,"score_spread":0.1733456112563289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7062746612","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11586959,0.0053167725,0.0027777443,0.12197836,0.00038189048,0.00012620451,0.0021957385,0.000054045588,0.75129974],"genre_scores_gemma":[0.92703825,0.004504866,0.0020883786,0.010430418,0.00010580041,0.000055657278,0.00069142296,0.000045293298,0.05503992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99647635,0.00048695315,0.000074653755,0.00029646076,0.0010618749,0.001603806],"domain_scores_gemma":[0.9930235,0.0028708267,0.00036866046,0.00022029126,0.0027245425,0.00079216453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00422275,0.00029480673,0.00032277204,0.0038603444,0.018459147,0.013156,0.0019476996,0.0038814868,0.020755084],"category_scores_gemma":[0.0127628585,0.00031889422,0.00041847164,0.0059022075,0.007226634,0.004714665,0.0026524074,0.003756604,0.00061637675],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007687119,0.000055039098,0.017729476,0.00015911108,0.000032051557,0.00071479636,0.048517212,0.002989204,0.00028770984,0.6294866,0.23488224,0.0650698],"study_design_scores_gemma":[0.000024433377,0.000013261527,0.019014396,0.00065681856,0.000035652076,0.00012020648,0.19453897,0.0029925925,0.00033366497,0.09318963,0.689008,0.000072430725],"about_ca_topic_score_codex":0.9788746,"about_ca_topic_score_gemma":0.9913049,"teacher_disagreement_score":0.10968631,"about_ca_system_score_codex":0.10968631,"about_ca_system_score_gemma":0.099186495,"threshold_uncertainty_score":0.7958336},"labels":[],"label_agreement":null},{"id":"W7064597259","doi":"","title":"THE CANADIAN DAIRY SECTOR: STRUCTURE, PERFORMANCE AND POLICIES","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","score_opus":0.019782127740311288,"score_gpt":0.2343415879463147,"score_spread":0.21455946020600342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7064597259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67571104,0.025871985,0.0009975366,0.116297334,0.0002589815,0.00021748862,0.015229435,0.0001822564,0.16523392],"genre_scores_gemma":[0.9546098,0.008399336,0.00075797335,0.0025645003,0.000047234345,0.00003070896,0.0017752808,0.000023568764,0.031791613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997054,0.00019569213,0.00006761063,0.00015327435,0.0009817715,0.0015476006],"domain_scores_gemma":[0.9948837,0.00033637317,0.00032784962,0.00006097205,0.0020497704,0.0023413147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017197129,0.00028904318,0.00024635732,0.0021865123,0.0043962877,0.005890499,0.0014795907,0.0013054183,0.008424441],"category_scores_gemma":[0.0044049826,0.00028681633,0.00031397067,0.0070368364,0.001859401,0.0012813502,0.0014904828,0.00091656076,0.0005654651],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054675835,0.00041523838,0.47720125,0.0006864983,0.00016302319,0.00043061958,0.0057356423,0.005215083,0.0022769198,0.14973885,0.11668062,0.24090949],"study_design_scores_gemma":[0.000053723674,0.00007800068,0.74144554,0.00044946413,0.0000618843,0.00008484078,0.017001476,0.00309698,0.00053783116,0.0062106308,0.23089257,0.000087122164],"about_ca_topic_score_codex":0.9936526,"about_ca_topic_score_gemma":0.99658513,"teacher_disagreement_score":0.13011847,"about_ca_system_score_codex":0.13011847,"about_ca_system_score_gemma":0.21288677,"threshold_uncertainty_score":0.94408005},"labels":[],"label_agreement":null},{"id":"W7064980897","doi":"","title":"A COOL Repeal: Potential Outcomes of U.S. Mandatory Country of Origin Labeling Requirements on Dairy and Beef Sectors","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Repeal; Agriculture; World trade; Dumping; Economic impact analysis; Free trade agreement; Free trade","score_opus":0.03133818077409347,"score_gpt":0.2663675408880648,"score_spread":0.23502936011397133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7064980897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6714128,0.0013180992,0.005904329,0.023651846,0.00041709226,0.00040961086,0.0018686699,0.0001752968,0.2948423],"genre_scores_gemma":[0.9794484,0.0003927671,0.00090450473,0.006967975,0.00013620032,0.000093227965,0.00041170724,0.000036679885,0.011608458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98877186,0.003484151,0.00034454695,0.0009085164,0.0036794865,0.0028115204],"domain_scores_gemma":[0.97677463,0.0104086185,0.005698641,0.0015350011,0.004574807,0.001008318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010859241,0.00068116916,0.0005122962,0.0016048126,0.004301965,0.0046261707,0.0018768419,0.004885023,0.008808514],"category_scores_gemma":[0.032558594,0.0005614651,0.0010987332,0.0014678151,0.0034281556,0.0024748258,0.004076926,0.0045574913,0.0008617099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025690459,0.0017463764,0.3648516,0.00052752317,0.0005225118,0.008478824,0.0049645742,0.026776308,0.008377987,0.4079046,0.08397872,0.08930196],"study_design_scores_gemma":[0.0010707629,0.0035109462,0.516058,0.0013182162,0.0009318345,0.0027232182,0.01845762,0.040946882,0.021657549,0.16009909,0.23253381,0.0006920439],"about_ca_topic_score_codex":0.059309967,"about_ca_topic_score_gemma":0.06979089,"teacher_disagreement_score":0.059309967,"about_ca_system_score_codex":0.0050688186,"about_ca_system_score_gemma":0.004122768,"threshold_uncertainty_score":0.11792946},"labels":[],"label_agreement":null},{"id":"W7067919267","doi":"","title":"NAREA AWARDS","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Procurement; Underemployment; Character (mathematics); Indemnity","score_opus":0.23275030594092594,"score_gpt":0.38416226069823134,"score_spread":0.1514119547573054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067919267","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024884108,0.006812834,0.0026781538,0.09199558,0.13900535,0.0008595167,0.008035799,0.0017452011,0.7463792],"genre_scores_gemma":[0.005462404,0.0020613766,0.0011658259,0.007239954,0.007609915,0.00018774785,0.0027844924,0.0004047827,0.9730837],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922463,0.0006555436,0.00029266378,0.0008344326,0.0047275657,0.0012434534],"domain_scores_gemma":[0.973116,0.00072846765,0.00044402818,0.0010843837,0.012645918,0.011981269],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0062461644,0.0012364961,0.0018435181,0.0039174184,0.0036739276,0.008059197,0.0032702629,0.0032814997,0.5666278],"category_scores_gemma":[0.01801625,0.0004736651,0.0011597616,0.0018711941,0.00091222994,0.0026662063,0.008046064,0.0032159141,0.37122637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004452085,0.000044179185,0.00024714152,0.00005951449,0.0000048015386,0.00007309302,0.00003593157,0.000042883607,0.0001400842,0.0036705458,0.9487653,0.046871904],"study_design_scores_gemma":[0.00000968939,0.000022235505,0.0004731737,0.00004381144,0.0000026014998,0.00008401658,0.000060187733,0.0000576941,0.000067144705,0.0008047252,0.99836904,0.000005689443],"about_ca_topic_score_codex":0.004271123,"about_ca_topic_score_gemma":0.014719365,"teacher_disagreement_score":0.5666278,"about_ca_system_score_codex":0.0047471165,"about_ca_system_score_gemma":0.0107567115,"threshold_uncertainty_score":0.61815286},"labels":[],"label_agreement":null},{"id":"W7070232570","doi":"","title":"O.A.C. Agricultural Conference '75 University of Guelph Proceedings Agriculture and Inflation","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Inflation (cosmology); Agricultural productivity; Agricultural experiment station","score_opus":0.013299214735301362,"score_gpt":0.2255998554085222,"score_spread":0.21230064067322085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070232570","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071256664,0.014025978,0.0008584061,0.05256064,0.04191306,0.00023295276,0.002017099,0.000446044,0.88082016],"genre_scores_gemma":[0.0064232126,0.0020386546,0.00025966324,0.0012205011,0.0012551806,0.00003254713,0.0002435477,0.00009555401,0.9884312],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922144,0.00007918774,0.00001767052,0.00011499167,0.00037845245,0.00018830514],"domain_scores_gemma":[0.9985983,0.00016614066,0.00003159,0.000093296774,0.0006092203,0.0005015163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013366452,0.0007829313,0.00039744945,0.001643681,0.0029681735,0.004716607,0.0006507241,0.0023558585,0.2684111],"category_scores_gemma":[0.0023184703,0.00027432622,0.00040287888,0.0009815735,0.00072750147,0.00097330724,0.0022477668,0.0016611621,0.06441439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000457531,0.000019169047,0.00017257145,0.000055557426,0.000002288111,0.00009174987,0.000070186376,0.000048948943,0.00032193644,0.0029483866,0.9659109,0.030312514],"study_design_scores_gemma":[0.0000022494062,0.000008301081,0.00068819296,0.000027950098,0.0000010426728,0.000016114287,0.00007004201,0.000015957472,0.00007786904,0.00013386601,0.99895585,0.000002492023],"about_ca_topic_score_codex":0.03354749,"about_ca_topic_score_gemma":0.11830636,"teacher_disagreement_score":0.9664525,"about_ca_system_score_codex":0.003583623,"about_ca_system_score_gemma":0.0061560106,"threshold_uncertainty_score":0.8979246},"labels":[],"label_agreement":null},{"id":"W7070831080","doi":"","title":"Proceedings of a Conference on Problems and Prospects in Atlantic and Continental Agricultural Trade","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Geopolitics; Government (linguistics); Commission; Politics; Agricultural policy; Order (exchange); Trade barrier","score_opus":0.036168132395457374,"score_gpt":0.20840528673176562,"score_spread":0.17223715433630823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070831080","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0162514,0.11190202,0.0013049634,0.3846048,0.04218031,0.00014278152,0.0009217267,0.00006107881,0.442631],"genre_scores_gemma":[0.086044855,0.033689022,0.0011510826,0.02118293,0.011843527,0.00012415068,0.000875323,0.00008159312,0.84500736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937385,0.00015060992,0.000033539978,0.00006569265,0.0002169298,0.00015928922],"domain_scores_gemma":[0.99896157,0.000298046,0.000056364504,0.000050756,0.00029901398,0.00033424035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013427985,0.00037852296,0.0002800251,0.00062332506,0.0039158873,0.0068391766,0.0007450368,0.0025606006,0.030368892],"category_scores_gemma":[0.0029526423,0.0002103206,0.0003408694,0.0014714496,0.0018351411,0.0026982299,0.0015238944,0.0031632653,0.003047496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013316935,0.000056423163,0.0016141962,0.00025774937,0.000017456692,0.00043355464,0.0021444678,0.00024672752,0.00052174967,0.050426815,0.8752956,0.06885207],"study_design_scores_gemma":[0.0000053010094,0.000006503722,0.0014324602,0.00009072488,0.0000035657206,0.000029096253,0.0007906003,0.000038202703,0.000036164798,0.0031574152,0.9944056,0.0000043388427],"about_ca_topic_score_codex":0.058875885,"about_ca_topic_score_gemma":0.16186182,"teacher_disagreement_score":0.058875885,"about_ca_system_score_codex":0.007570618,"about_ca_system_score_gemma":0.0085897725,"threshold_uncertainty_score":0.11706638},"labels":[],"label_agreement":null},{"id":"W7072099387","doi":"","title":"U.S. Foreign Agricultural Trade Statistical Report, Calendar Year 1980","year":2017,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Commodity; Principal (computer security); Statistical analysis; Terms of trade; Statistical evidence","score_opus":0.03307375252580429,"score_gpt":0.21614747953660168,"score_spread":0.18307372701079738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072099387","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002821944,0.0012029338,0.00046784678,0.0004082559,0.00039569143,0.00008337015,0.9631383,0.00039613034,0.03108558],"genre_scores_gemma":[0.009016609,0.003339609,0.0011351315,0.00020424502,0.00019922089,0.00027172494,0.9478859,0.00012505865,0.037822504],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99897885,0.00008516731,0.00010072171,0.00016167866,0.00055599975,0.00011761072],"domain_scores_gemma":[0.9950729,0.00054312136,0.00065317395,0.00024264178,0.0033057774,0.00018245095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010950576,0.0009280033,0.0005480598,0.00878889,0.0006970722,0.0011109217,0.0009037835,0.00032650738,0.025035376],"category_scores_gemma":[0.005215616,0.00034138048,0.0003030667,0.018855788,0.00017875062,0.0008984665,0.00049267075,0.00076821056,0.024886921],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049747836,0.000025153002,0.0053059324,0.00015144296,0.000017063301,0.000030456646,0.00003528302,0.00031797754,0.000065436776,0.0016571159,0.9784984,0.013846038],"study_design_scores_gemma":[0.000036292873,0.00003366705,0.07779235,0.00026519826,0.000034460478,0.000059078386,0.00019795321,0.00048611918,0.0002809932,0.00096217694,0.9198309,0.000020820604],"about_ca_topic_score_codex":0.21314803,"about_ca_topic_score_gemma":0.15753287,"teacher_disagreement_score":0.21314803,"about_ca_system_score_codex":0.00312132,"about_ca_system_score_gemma":0.0072785164,"threshold_uncertainty_score":0.4238147},"labels":[],"label_agreement":null},{"id":"W7084413289","doi":"10.22004/ag.econ.372307","title":"A Path to Carbon Neutrality: Do Environmental Tax, Green Technologies and Natural Resources Extraction Matter for Environmental Sustainability?","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural resource; Renewable energy; Non-renewable resource; Sustainability; Carbon tax; Economic rent; Greenhouse gas; Fossil fuel; Low-carbon economy","score_opus":0.008161070918267347,"score_gpt":0.24036186608894222,"score_spread":0.23220079517067488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084413289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95418316,0.003637586,0.0049098916,0.022636082,0.00007306018,0.000040889,0.00059043174,0.000022756745,0.013906118],"genre_scores_gemma":[0.99757785,0.00050288235,0.0004523003,0.00061495946,0.000029847264,0.000009735858,0.00008874027,0.000004933046,0.00071881234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881005,0.0005188514,0.00003618347,0.00023312938,0.00012154883,0.00028022227],"domain_scores_gemma":[0.9878456,0.007348991,0.0034135673,0.00025722358,0.0005304397,0.0006042965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034019658,0.00028103555,0.000539485,0.0007756408,0.0006013497,0.0017566812,0.00042654423,0.001519559,0.0054267785],"category_scores_gemma":[0.012448991,0.00017331693,0.00083792553,0.00089949527,0.0017973464,0.0021131579,0.0010858988,0.0019952653,0.00032420614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006110132,0.00039097585,0.7971301,0.0002774168,0.0007565173,0.00065629336,0.00088858494,0.0151839955,0.001393302,0.11754639,0.0024055578,0.06275987],"study_design_scores_gemma":[0.00012654316,0.0005117172,0.7458661,0.0002500301,0.0007793589,0.00023585593,0.00479207,0.031548742,0.0025292612,0.19896689,0.014305635,0.00008771844],"about_ca_topic_score_codex":0.00856507,"about_ca_topic_score_gemma":0.0073305117,"teacher_disagreement_score":0.00856507,"about_ca_system_score_codex":0.0012282283,"about_ca_system_score_gemma":0.0022410366,"threshold_uncertainty_score":0.018154323},"labels":[],"label_agreement":null},{"id":"W7086622096","doi":"","title":"Welfare Gains from the Variety Growth","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare; Variety (cybernetics); Quarter (Canadian coin); Eu countries; Terms of trade","score_opus":0.03973429853174793,"score_gpt":0.21917495744794757,"score_spread":0.17944065891619965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7086622096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96841353,0.0007186305,0.0021557568,0.00076804764,0.00002525708,0.000037422495,0.0070427605,0.00004738431,0.020791128],"genre_scores_gemma":[0.9900691,0.00039660433,0.00050026993,0.000102687,0.00002062502,0.000041067455,0.003726199,0.0000113063,0.0051320475],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995372,0.0001274651,0.000022232265,0.000083668696,0.000066147826,0.00016328334],"domain_scores_gemma":[0.9989875,0.0003131707,0.0004278332,0.000070329304,0.000112574606,0.00008860841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061632774,0.00042976486,0.0003686195,0.0015750965,0.0004864756,0.0018493402,0.00039237156,0.0007604206,0.00598401],"category_scores_gemma":[0.0022970485,0.00019916888,0.0009840496,0.0017947962,0.00088172714,0.0010005463,0.0014916543,0.00084309524,0.0006502818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014363467,0.0004452018,0.7468677,0.0005100385,0.0008848299,0.0020063862,0.0016971575,0.106331065,0.0028436764,0.05328447,0.013154489,0.070538655],"study_design_scores_gemma":[0.00011106665,0.00052594,0.89748317,0.00032464374,0.00040256552,0.00083845184,0.0045954897,0.028225273,0.001962686,0.028731411,0.03672115,0.000078189136],"about_ca_topic_score_codex":0.010736671,"about_ca_topic_score_gemma":0.013918084,"teacher_disagreement_score":0.010736671,"about_ca_system_score_codex":0.002049602,"about_ca_system_score_gemma":0.00054967013,"threshold_uncertainty_score":0.021348357},"labels":[],"label_agreement":null},{"id":"W7104286012","doi":"10.22004/ag.econ.373422","title":"Implications of New U.S.-China Deal, Soybean Commitments, Port Fee Suspension, and SE Asia Deals","year":2025,"lang":"en","type":"report","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; China; Dominance (genetics); Net farm income; Agriculture; Profit margin; Tariff; Cash crop; Swap (finance)","score_opus":0.07537637644219433,"score_gpt":0.3230595530947874,"score_spread":0.24768317665259307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104286012","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41847715,0.0039064055,0.00033996374,0.1671893,0.0018765237,0.00013432925,0.003155937,0.0001397824,0.4047806],"genre_scores_gemma":[0.860738,0.0019478933,0.00026480446,0.054305874,0.00058274297,0.00011720029,0.0012502647,0.00009923892,0.08069398],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970119,0.0003304489,0.00014055132,0.00026616023,0.00095264125,0.0012982809],"domain_scores_gemma":[0.99347997,0.0015003501,0.0009993676,0.00018495903,0.001693673,0.0021417588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034824742,0.00037770922,0.0004056333,0.0011966012,0.004597559,0.010547144,0.0013924165,0.0059838574,0.019487238],"category_scores_gemma":[0.008908006,0.0004527237,0.00086777465,0.0013836768,0.0020286215,0.004148229,0.0022796937,0.006101036,0.0013634176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014820909,0.00085494074,0.15849972,0.00027267728,0.00018641175,0.009224668,0.006967702,0.0037521175,0.0024226552,0.35112777,0.41392183,0.05128736],"study_design_scores_gemma":[0.00037325217,0.0006256445,0.30333644,0.00081281073,0.00017392801,0.0010612035,0.026893234,0.0048994506,0.003251812,0.029617716,0.628609,0.0003455612],"about_ca_topic_score_codex":0.2132182,"about_ca_topic_score_gemma":0.33352587,"teacher_disagreement_score":0.2132182,"about_ca_system_score_codex":0.013796857,"about_ca_system_score_gemma":0.011765147,"threshold_uncertainty_score":0.4239543},"labels":[],"label_agreement":null},{"id":"W7110815220","doi":"10.32854/agrop.vi.1967","title":"Profile of the companies participating in the Mexican national exports award","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perishability; Exportation; Product (mathematics); Agriculture; State (computer science); Destinations","score_opus":0.04183533032945632,"score_gpt":0.2494519540437661,"score_spread":0.20761662371430978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110815220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926237,0.0002128536,0.00015586967,0.00035410555,0.000007787027,0.00004965785,0.00096970884,0.00001030131,0.0056160544],"genre_scores_gemma":[0.9877793,0.0004806979,0.000698854,0.000110849476,0.000015240765,0.00011246225,0.0020851912,0.000008136814,0.008709347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938,0.00010934437,0.000045627745,0.0000759341,0.00020627234,0.0001828263],"domain_scores_gemma":[0.99752873,0.0002938954,0.0009664787,0.0000864022,0.00047529192,0.00064922025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011273151,0.00017256563,0.00015337113,0.0016001139,0.0006632522,0.0009480317,0.00032602058,0.0003052101,0.005533362],"category_scores_gemma":[0.003062016,0.000097513315,0.0001297566,0.0011889747,0.00012587373,0.0007246006,0.0008968227,0.00022572475,0.0007516676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013572667,0.00014639042,0.95888907,0.00015451563,0.00001631513,0.00066213764,0.005262246,0.00012366036,0.0012200831,0.00048885914,0.0044126813,0.02848832],"study_design_scores_gemma":[0.0000071668487,0.00011064495,0.94370085,0.00009915699,0.00001341944,0.0008139717,0.024024595,0.00035710665,0.0004092136,0.00007239283,0.030378813,0.0000126097875],"about_ca_topic_score_codex":0.0052572354,"about_ca_topic_score_gemma":0.007340095,"teacher_disagreement_score":0.005533362,"about_ca_system_score_codex":0.0005839248,"about_ca_system_score_gemma":0.00070907007,"threshold_uncertainty_score":0.018510938},"labels":[],"label_agreement":null},{"id":"W7110895910","doi":"10.22004/ag.econ.359227","title":"Immediate Backgrounds of the Present Agricultural Policies and Programs","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suspect; Agriculture; Position (finance); Scale (ratio); Public policy; Servant","score_opus":0.023833030523556765,"score_gpt":0.21627101217341996,"score_spread":0.1924379816498632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110895910","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006354116,0.0052242363,0.001447044,0.116071,0.0031973636,0.00021172204,0.0012298331,0.00020155741,0.8660632],"genre_scores_gemma":[0.04944234,0.0033163687,0.0021232706,0.022217307,0.0016209694,0.00045271448,0.000623151,0.00008506671,0.9201188],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99903995,0.00023087642,0.000042131618,0.00009986244,0.0003666454,0.00022037928],"domain_scores_gemma":[0.9985607,0.00044451034,0.000086793676,0.00009997001,0.000470411,0.00033764538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019668215,0.00023336848,0.00012568076,0.00075975165,0.0029436857,0.0029380429,0.0010261481,0.0025463267,0.08426378],"category_scores_gemma":[0.0028759474,0.00017680734,0.00018123104,0.0008080455,0.001312412,0.0017850607,0.0013294562,0.0037432753,0.0120621575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006633831,0.0003975039,0.001287879,0.000363911,0.0000036359565,0.0002503614,0.0012915228,0.00036164038,0.001487229,0.33997852,0.5746987,0.07981269],"study_design_scores_gemma":[0.0000068702175,0.000024466432,0.0022375458,0.00009918955,0.000001626278,0.000039834813,0.00037132713,0.000046108955,0.0001527993,0.0052487263,0.9917652,0.0000062437516],"about_ca_topic_score_codex":0.009160074,"about_ca_topic_score_gemma":0.014667094,"teacher_disagreement_score":0.08426378,"about_ca_system_score_codex":0.0035869891,"about_ca_system_score_gemma":0.0059411735,"threshold_uncertainty_score":0.2818904},"labels":[],"label_agreement":null},{"id":"W7110912602","doi":"10.32854/agrop.vi.2344","title":"Effects of an increase in Mexican strawberry exports to Canada on the profitability of producers in Mexico","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Production (economics); Partial equilibrium; International market; Export trade; Fragaria; Terms of trade","score_opus":0.015432146610598248,"score_gpt":0.22461991874547574,"score_spread":0.2091877721348775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110912602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961423,0.00011478731,0.000119669254,0.00021386844,0.000004497359,0.000016218857,0.00036738804,0.000012798106,0.0030083915],"genre_scores_gemma":[0.9983865,0.0001567254,0.00024216948,0.00004947973,0.0000017303887,0.000010212093,0.00026155563,0.0000027653036,0.0008888249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969745,0.00007178869,0.000007505613,0.000044827233,0.000059050806,0.00011930991],"domain_scores_gemma":[0.9994228,0.00016195055,0.00012430579,0.000019128855,0.00017466248,0.000097270604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003824461,0.00032677266,0.00017180892,0.00024501298,0.0007347514,0.000876243,0.0003896107,0.00041993463,0.0027344949],"category_scores_gemma":[0.000948193,0.00011314457,0.00036140205,0.00035726157,0.0003077208,0.0003041084,0.000425733,0.00031816756,0.00006373717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053637223,0.0006156926,0.7999389,0.00052833685,0.0004885259,0.0037810423,0.0009209882,0.10747286,0.03599347,0.0036793216,0.005596231,0.03562088],"study_design_scores_gemma":[0.000128801,0.0013073365,0.9533072,0.00006468404,0.0002874505,0.00020449786,0.004109453,0.027103316,0.0054193414,0.00038309427,0.007638754,0.000046020155],"about_ca_topic_score_codex":0.60560435,"about_ca_topic_score_gemma":0.696001,"teacher_disagreement_score":0.39439565,"about_ca_system_score_codex":0.011499647,"about_ca_system_score_gemma":0.004222734,"threshold_uncertainty_score":0.79343665},"labels":[],"label_agreement":null},{"id":"W7110912931","doi":"10.32854/agrop.vi.2367","title":"Mexico’s agricultural policy in the American context (1995-2020)","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Latin American rural development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Agriculture; Context (archaeology); Agricultural policy; Estimator; Time series; Unit (ring theory); Gross domestic product; Unit root","score_opus":0.014563117584512444,"score_gpt":0.23285079649451187,"score_spread":0.21828767890999942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110912931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671969,0.0026630715,0.00017606428,0.0030730763,0.00003831849,0.000025765348,0.014376069,0.000020264033,0.012430616],"genre_scores_gemma":[0.98452014,0.0029093183,0.00048096204,0.00017213961,0.000041842177,0.000040486924,0.008860211,0.0000044453022,0.0029703856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999826,0.000021525431,0.000010236408,0.000042869917,0.00004200856,0.00005739458],"domain_scores_gemma":[0.9992767,0.00007105975,0.00041419177,0.000015437216,0.00016890933,0.000053702595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054578437,0.00017049407,0.00012780474,0.0008711959,0.0004550736,0.001210894,0.00026671274,0.00040234404,0.0014604089],"category_scores_gemma":[0.0015498305,0.000059818463,0.00016412127,0.0020701636,0.00017660565,0.00045678223,0.00046573774,0.00030980786,0.00012976192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023703609,0.00014229621,0.92808044,0.0004079328,0.00018428481,0.00051949563,0.0014518724,0.0037837392,0.00045665898,0.007728289,0.018971216,0.0380368],"study_design_scores_gemma":[0.0000063965276,0.000027791213,0.976982,0.000067439876,0.000052417243,0.00004725033,0.0014166924,0.0006149628,0.00014091378,0.00018784679,0.020450134,0.000006133719],"about_ca_topic_score_codex":0.28576684,"about_ca_topic_score_gemma":0.29580486,"teacher_disagreement_score":0.28576684,"about_ca_system_score_codex":0.0049802326,"about_ca_system_score_gemma":0.0025600353,"threshold_uncertainty_score":0.568207},"labels":[],"label_agreement":null},{"id":"W7110972301","doi":"10.22004/ag.econ.359217","title":"Regulacja oparta na ryzyku jako refleksyjna strategia regulacyjna","year":2025,"lang":"pl","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reflexivity; Order (exchange); Autonomy; Independence (probability theory); Control (management)","score_opus":0.03772644994100536,"score_gpt":0.2560704037850203,"score_spread":0.21834395384401492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110972301","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11478686,0.009025714,0.22977543,0.021263273,0.0012359375,0.0005697256,0.00035714108,0.0007776445,0.6222083],"genre_scores_gemma":[0.8756366,0.008949119,0.05371214,0.0019372876,0.0003970102,0.00048946386,0.00024869095,0.0004116832,0.058218062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9912417,0.0030589905,0.0008125467,0.0013638706,0.0026453964,0.0008775981],"domain_scores_gemma":[0.99488753,0.0019207211,0.0010010838,0.00094985386,0.00087008264,0.0003707461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008577546,0.0005855631,0.00080293353,0.0022108553,0.0023251227,0.017878972,0.001158697,0.0013658239,0.008462271],"category_scores_gemma":[0.008237656,0.00062786567,0.0007599424,0.0023986548,0.008732052,0.006239674,0.0042324434,0.0044053653,0.0023516584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047039775,0.00012280558,0.0020980446,0.00041682183,0.000057983976,0.00026772733,0.0056043477,0.0033121703,0.0022693842,0.92556584,0.0032343054,0.05700357],"study_design_scores_gemma":[0.00006721841,0.00025043837,0.007180855,0.0013773567,0.00013033775,0.00057564944,0.008816541,0.006967229,0.0048413672,0.44561356,0.52401215,0.00016728758],"about_ca_topic_score_codex":0.0027837763,"about_ca_topic_score_gemma":0.0027763918,"teacher_disagreement_score":0.017878972,"about_ca_system_score_codex":0.003825699,"about_ca_system_score_gemma":0.008419794,"threshold_uncertainty_score":0.04536289},"labels":[],"label_agreement":null},{"id":"W7111014322","doi":"10.32854/agrop.vi.2052","title":"Estimation of competitiveness indicators in avocado importing markets","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revealed comparative advantage; Production (economics); Index (typography); World trade; Estimation; Agriculture; Work (physics)","score_opus":0.013606449187960003,"score_gpt":0.2261917995131016,"score_spread":0.2125853503251416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111014322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99060047,0.00023900221,0.0015909574,0.000053053005,0.0000054879283,0.000054153737,0.0016972162,0.000013311911,0.0057464675],"genre_scores_gemma":[0.9950494,0.0001404752,0.0016378418,0.000005593062,0.000010654037,0.00004749607,0.002456345,0.0000048218562,0.0006473724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959713,0.00007606701,0.000033625438,0.00009358946,0.00010343307,0.000096223484],"domain_scores_gemma":[0.998444,0.00037625668,0.00070777116,0.00004270688,0.00031863357,0.000110688954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156311,0.00042634114,0.00033807723,0.006052976,0.00039069753,0.0017643673,0.00037233336,0.00028388444,0.002466503],"category_scores_gemma":[0.0024314101,0.000111087786,0.00057197496,0.0043784124,0.0002707785,0.0013547912,0.0007202437,0.00033467752,0.00022969431],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016749366,0.000099247125,0.9717246,0.000103024664,0.00011059322,0.00022280912,0.00047155557,0.0035794242,0.00097117363,0.0026856004,0.00068671186,0.019177768],"study_design_scores_gemma":[0.00000867179,0.00014639944,0.9822348,0.000037111855,0.000054139284,0.000099493176,0.0032362128,0.0090715885,0.0009052252,0.0008177958,0.0033722273,0.000016482805],"about_ca_topic_score_codex":0.014590584,"about_ca_topic_score_gemma":0.010507344,"teacher_disagreement_score":0.014590584,"about_ca_system_score_codex":0.0014888977,"about_ca_system_score_gemma":0.0009830404,"threshold_uncertainty_score":0.02901131},"labels":[],"label_agreement":null},{"id":"W7111112201","doi":"10.32854/agrop.vi.2145","title":"Commercial dynamics of mexican tomato in the framework of the USMCA: an analysis of trade with the united states using the gravity model","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Social Issues","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Per capita; Consumption (sociology); Gross domestic product; Variable (mathematics); Econometric model; Gravity model of trade; Production (economics); Agriculture; Per capita income","score_opus":0.02762761180225512,"score_gpt":0.258745821948461,"score_spread":0.2311182101462059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111112201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901439,0.00045705953,0.0015061253,0.0005242725,0.000010678469,0.000020147208,0.0004752717,0.000029655708,0.006832888],"genre_scores_gemma":[0.99779725,0.00030750525,0.00054343446,0.00002273756,0.000010525532,0.000012311135,0.00039171695,0.0000060287266,0.0009085544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986184,0.00004227306,0.0000051536613,0.000031030322,0.000019094488,0.000040624225],"domain_scores_gemma":[0.9996094,0.00016569434,0.000120997945,0.000018712837,0.00004843531,0.000036877802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052811933,0.000248388,0.0002613049,0.0011552926,0.00045941558,0.0017915767,0.00042418952,0.00047945877,0.0036120384],"category_scores_gemma":[0.001175822,0.00013324393,0.0010044455,0.0014838214,0.00038857086,0.00073619204,0.00069171883,0.0004559081,0.00021471835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000367842,0.0003948458,0.65844434,0.0001559002,0.00042652315,0.0018898442,0.001251699,0.20475216,0.0013591535,0.09690557,0.008802786,0.0252493],"study_design_scores_gemma":[0.00005668726,0.00018568274,0.35831496,0.00010558061,0.00031337293,0.0002537077,0.004162445,0.61697274,0.000298888,0.009162888,0.010125778,0.000047285488],"about_ca_topic_score_codex":0.10324299,"about_ca_topic_score_gemma":0.037142027,"teacher_disagreement_score":0.10324299,"about_ca_system_score_codex":0.0023937752,"about_ca_system_score_gemma":0.00090129895,"threshold_uncertainty_score":0.20528412},"labels":[],"label_agreement":null},{"id":"W7111124636","doi":"10.32854/agrop.vi.1547","title":"Agronegocios: ¿Qué piensan los jóvenes egresados de escuelas y facultades de negocios en México sobre el emprendimiento en el sector agropecuario?","year":2025,"lang":"es","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural and Food Production Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agribusiness; Population; Remuneration; Sample (material); Young professional; Work (physics)","score_opus":0.02351658392922027,"score_gpt":0.2622150739395176,"score_spread":0.23869849001029733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111124636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970421,0.00042987883,0.00005653906,0.0006070379,0.000008790934,0.000008650739,0.00013676927,0.0000015793264,0.0017087057],"genre_scores_gemma":[0.99685436,0.0010059137,0.00013197974,0.00015961421,0.00001604898,0.00001646031,0.00019941009,0.0000013035334,0.00161493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998216,0.00004278049,0.0000065171735,0.000030117868,0.000026056814,0.00007284081],"domain_scores_gemma":[0.99894077,0.0002371659,0.00053641375,0.000023627203,0.00012440959,0.00013748933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079147005,0.00012958671,0.00015425037,0.00032678826,0.00078304426,0.0009070651,0.00026040286,0.00039773204,0.002970877],"category_scores_gemma":[0.0017216696,0.00009614238,0.00011539822,0.0004678299,0.0005247481,0.0007247612,0.0006456803,0.00040241043,0.00014961312],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009783149,0.00010381643,0.9535986,0.0002188666,0.00001777079,0.00037335278,0.022584466,0.00006830273,0.0006169728,0.0009401425,0.0017342453,0.019645574],"study_design_scores_gemma":[0.0000047211715,0.00008304018,0.9331066,0.00017635187,0.000019788886,0.000088900015,0.058455467,0.00007318967,0.00014609157,0.00013671922,0.007704187,0.0000049480004],"about_ca_topic_score_codex":0.038315725,"about_ca_topic_score_gemma":0.06195036,"teacher_disagreement_score":0.038315725,"about_ca_system_score_codex":0.00092528923,"about_ca_system_score_gemma":0.0012386817,"threshold_uncertainty_score":0.076185405},"labels":[],"label_agreement":null},{"id":"W7111188579","doi":"10.32854/agrop.vi.1862","title":"Sociocultural aspects of nourishment and the use of the plot in the rural community of Bandera de Juárez","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Food, Nutrition, and Cultural Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sociocultural evolution; Socialization; Plot (graphics); Cultural values; Identity (music); Destinations; Cultural identity; Process (computing); Quality (philosophy)","score_opus":0.05549967069262849,"score_gpt":0.23830011173609555,"score_spread":0.18280044104346707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111188579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946471,0.0022381882,0.00009489466,0.00032053655,0.000007650505,0.000013845693,0.000028314471,0.0000013301407,0.0026480206],"genre_scores_gemma":[0.99775606,0.0015650812,0.00014728645,0.000029150553,0.000006139107,0.000013414069,0.000021556347,6.238594e-7,0.00046069064],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99947065,0.00033497758,0.000013317963,0.00005901393,0.000050105395,0.000071831564],"domain_scores_gemma":[0.99903584,0.00050420506,0.00029306387,0.000020593629,0.000085324195,0.000060980896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079363,0.00018158216,0.0002007165,0.0009736745,0.0021107763,0.0010145342,0.00041997846,0.0003457308,0.001605875],"category_scores_gemma":[0.0016408797,0.00009894305,0.00008611176,0.00084547466,0.0018090465,0.0006243245,0.0007901969,0.0002480496,0.000037989183],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025930582,0.00019575194,0.3240266,0.0019390525,0.00007607047,0.0048889727,0.5717648,0.00018253403,0.004668386,0.0020746996,0.0010647102,0.08885912],"study_design_scores_gemma":[0.000006494591,0.00016712959,0.47216734,0.0005966656,0.00005114719,0.0006562787,0.51234883,0.00006256867,0.00032928248,0.00021691552,0.013386834,0.000010507215],"about_ca_topic_score_codex":0.049634784,"about_ca_topic_score_gemma":0.14569585,"teacher_disagreement_score":0.049634784,"about_ca_system_score_codex":0.0015420993,"about_ca_system_score_gemma":0.0016158273,"threshold_uncertainty_score":0.09869176},"labels":[],"label_agreement":null},{"id":"W7111726742","doi":"","title":"Front Materials","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Macro; Front (military); Agriculture; Theme (computing)","score_opus":0.10317759630039339,"score_gpt":0.22137041571161453,"score_spread":0.11819281941122114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111726742","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006659709,0.000930811,0.0026229792,0.0033728366,0.005157488,0.0007438889,0.06895182,0.0038412842,0.913713],"genre_scores_gemma":[0.0037989179,0.0013853943,0.0020182142,0.0022271685,0.0009852815,0.00047152216,0.05342483,0.0016823635,0.93400633],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987043,0.00010780497,0.00007374636,0.0002228579,0.00075787766,0.00013340173],"domain_scores_gemma":[0.9970284,0.0005783289,0.000111442816,0.00044851276,0.0013738724,0.0004594367],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015378578,0.0008606181,0.0010540496,0.0029819102,0.0019604063,0.0047852965,0.0023497092,0.0022602032,0.934972],"category_scores_gemma":[0.006576294,0.0004427284,0.00075201545,0.0022964135,0.0004246194,0.0023363817,0.0024902297,0.0013978973,0.86122775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003913023,0.000046524434,0.00020116591,0.00021186733,0.000002705197,0.000054314612,0.00003382611,0.00007332931,0.00027175003,0.0024721564,0.9389542,0.057639115],"study_design_scores_gemma":[0.000008293587,0.000013604238,0.0002993164,0.000067837595,0.000001916626,0.000032820455,0.00004200651,0.000029161594,0.00014434557,0.0007729331,0.99858344,0.000004421062],"about_ca_topic_score_codex":0.0037369148,"about_ca_topic_score_gemma":0.006234062,"teacher_disagreement_score":0.06502801,"about_ca_system_score_codex":0.0015663847,"about_ca_system_score_gemma":0.0027527579,"threshold_uncertainty_score":0.09275454},"labels":[],"label_agreement":null},{"id":"W7111859243","doi":"","title":"NAREA AWARDS","year":2017,"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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Procurement; Underemployment; Character (mathematics); Empirical evidence","score_opus":0.04744519342371225,"score_gpt":0.21457249361231145,"score_spread":0.1671273001885992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111859243","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002345268,0.0074557844,0.0026381144,0.09260212,0.11876679,0.0006515537,0.0074358843,0.0015032978,0.7666012],"genre_scores_gemma":[0.005889996,0.0022073113,0.0012376864,0.00650315,0.0067746285,0.00016482448,0.002367502,0.0003804064,0.97447455],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938082,0.00056212116,0.00023221424,0.0007336751,0.0036811635,0.0009826345],"domain_scores_gemma":[0.97698724,0.0006897586,0.00042070114,0.00095765974,0.010854449,0.010090249],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005501142,0.0011388849,0.0017751728,0.0036888975,0.003305464,0.0075613153,0.0031881111,0.003167323,0.5559659],"category_scores_gemma":[0.016280547,0.000425012,0.0010886586,0.0017270838,0.0008474139,0.0025461041,0.007177775,0.0030464546,0.3422191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045211484,0.000043841996,0.0002461614,0.000060312654,0.000005184014,0.00007898291,0.000036559886,0.00005073606,0.00013864312,0.0057551833,0.9463698,0.047169365],"study_design_scores_gemma":[0.000008383087,0.000018013636,0.00044204702,0.00004165983,0.0000023603498,0.00007676275,0.000052279003,0.000061078914,0.000056249275,0.0009657925,0.9982703,0.000005085211],"about_ca_topic_score_codex":0.0043034377,"about_ca_topic_score_gemma":0.014961126,"teacher_disagreement_score":0.5559659,"about_ca_system_score_codex":0.004872323,"about_ca_system_score_gemma":0.010065366,"threshold_uncertainty_score":0.63336074},"labels":[],"label_agreement":null},{"id":"W7112204983","doi":"","title":"Canadian & U.S. Farmers: More similar than different","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Set (abstract data type); Population; Work (physics)","score_opus":0.030392457515168437,"score_gpt":0.2107870876298459,"score_spread":0.18039463011467746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112204983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7758466,0.0035107946,0.0004605938,0.041084375,0.00022269037,0.00004474899,0.0014582528,0.000023507773,0.17734835],"genre_scores_gemma":[0.9881937,0.0008849906,0.00014436884,0.0034679247,0.000032068518,0.0000043281184,0.00014888513,0.000009548838,0.0071142907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844545,0.00019470816,0.000023856383,0.00019944458,0.00043973967,0.00069687463],"domain_scores_gemma":[0.99801576,0.00019791092,0.0002828788,0.000061952596,0.00060969463,0.00083166495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009122347,0.00013416391,0.00042015148,0.0016360196,0.0070843366,0.0037578817,0.00043227614,0.0010679298,0.015345601],"category_scores_gemma":[0.0029916097,0.00011348018,0.00023889472,0.003524574,0.0030047128,0.0017867236,0.0014175692,0.00076282833,0.0003716477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007516703,0.00023123935,0.5104748,0.00031896273,0.00032565143,0.0017385843,0.045165032,0.000821919,0.0031433243,0.13537014,0.1228113,0.17884733],"study_design_scores_gemma":[0.00006460655,0.00005484436,0.7184408,0.00027534788,0.0001783237,0.00038785752,0.13557412,0.00043577436,0.000359525,0.02325144,0.12086157,0.00011589311],"about_ca_topic_score_codex":0.9399224,"about_ca_topic_score_gemma":0.98219943,"teacher_disagreement_score":0.060077608,"about_ca_system_score_codex":0.0140221985,"about_ca_system_score_gemma":0.014282485,"threshold_uncertainty_score":0.12086278},"labels":[],"label_agreement":null},{"id":"W7113309610","doi":"","title":"END MATERIALS","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.053620428990565426,"score_gpt":0.3084873408867458,"score_spread":0.2548669118961804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113309610","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009505747,0.00023903963,0.003041424,0.0040609306,0.0025122352,0.0060914685,0.4577416,0.0064714043,0.51889133],"genre_scores_gemma":[0.0025158748,0.00042967722,0.0060107606,0.005237017,0.00057472545,0.011732033,0.15666437,0.0028182818,0.8140172],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975974,0.0003861934,0.0001614945,0.00020696002,0.0010676935,0.00058022287],"domain_scores_gemma":[0.9721218,0.0069876336,0.0006227951,0.0023609516,0.014443898,0.0034630129],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0052938513,0.0012586778,0.0015235505,0.005156667,0.005306811,0.0040835897,0.0025554164,0.0024100305,0.9381137],"category_scores_gemma":[0.03136333,0.0011521704,0.0008992527,0.003537335,0.0005896594,0.002761333,0.0036895687,0.0017818589,0.81733465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003051537,0.000028045291,0.00013863877,0.00008788413,7.2907784e-7,0.000008769086,0.000044677217,0.000015537078,0.000027493876,0.00051679445,0.99007577,0.009024986],"study_design_scores_gemma":[0.00006095103,0.00002445058,0.0012258646,0.00020404099,0.0000027334781,0.000026748889,0.00032905352,0.000040316307,0.00014011419,0.0015182747,0.996412,0.00001550598],"about_ca_topic_score_codex":0.048898004,"about_ca_topic_score_gemma":0.123507984,"teacher_disagreement_score":0.06188631,"about_ca_system_score_codex":0.0043862313,"about_ca_system_score_gemma":0.012973464,"threshold_uncertainty_score":0.0972268},"labels":[],"label_agreement":null},{"id":"W7113604471","doi":"","title":"RESEARCH UPDATES","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Articular cartilage damage; Hyporeflexia; Diafiltration","score_opus":0.0942090543852822,"score_gpt":0.30671176490671037,"score_spread":0.21250271052142816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113604471","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090909144,0.021747926,0.0034212219,0.048622373,0.1035204,0.001526751,0.05497084,0.003847731,0.76143366],"genre_scores_gemma":[0.005393259,0.02797841,0.007937526,0.018431112,0.019104175,0.0015402169,0.05491585,0.0016761321,0.8630233],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99601066,0.0005982661,0.00051890244,0.0005146736,0.0020370162,0.0003205734],"domain_scores_gemma":[0.9724945,0.003419571,0.00083500764,0.0027353426,0.018206641,0.0023088767],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00522779,0.0010146076,0.0014647327,0.0068818484,0.001947668,0.007732699,0.0035834748,0.0034489103,0.6296222],"category_scores_gemma":[0.02990992,0.0006470892,0.001115817,0.00802629,0.00066478015,0.005825983,0.0025144876,0.0025684298,0.45160538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003510452,0.000029192088,0.0001419916,0.00037875946,0.0000044177787,0.000032248572,0.000043958597,0.000019463027,0.00007487885,0.001461694,0.9137119,0.08406634],"study_design_scores_gemma":[0.000008037369,0.000011054894,0.00027338628,0.00034078077,0.0000052915248,0.00003966884,0.0000730938,0.000010042975,0.00005393295,0.0005195769,0.99866045,0.0000046763676],"about_ca_topic_score_codex":0.008236596,"about_ca_topic_score_gemma":0.010220465,"teacher_disagreement_score":0.37037778,"about_ca_system_score_codex":0.002764936,"about_ca_system_score_gemma":0.009686925,"threshold_uncertainty_score":0.528299},"labels":[],"label_agreement":null},{"id":"W7113650783","doi":"","title":"1991/92 Winter","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Work (physics); Agriculture; On board; Quarter (Canadian coin)","score_opus":0.06552758330699152,"score_gpt":0.31803027149936713,"score_spread":0.25250268819237565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113650783","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017145488,0.0053837006,0.00062850304,0.0141979465,0.04651913,0.00046678886,0.012869888,0.0011424026,0.9170771],"genre_scores_gemma":[0.0016083834,0.0014572422,0.00016114731,0.0015279022,0.00258717,0.00010147415,0.0044743535,0.0002933274,0.987789],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991757,0.000062841726,0.000054774064,0.0001683147,0.00036803618,0.00017019775],"domain_scores_gemma":[0.99812216,0.00014451602,0.00007519031,0.00016611214,0.0010362008,0.00045575557],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013410725,0.0012991522,0.0007493193,0.001865995,0.0025420345,0.005402786,0.0014484946,0.0024551142,0.73265606],"category_scores_gemma":[0.003097121,0.0004351298,0.00065057556,0.0019063487,0.0004770749,0.0022747025,0.0021309715,0.0019316357,0.6412005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038011804,0.000022738746,0.00019438678,0.000059182767,0.000001928663,0.00003763084,0.000022510876,0.0000120553295,0.00015335699,0.00037333922,0.98451,0.014574889],"study_design_scores_gemma":[0.0000059119157,0.000012419716,0.0012521711,0.00007986149,0.0000016573634,0.000020507507,0.00006444662,0.000014371417,0.000064916596,0.00013898543,0.9983413,0.0000034268512],"about_ca_topic_score_codex":0.012250164,"about_ca_topic_score_gemma":0.032414123,"teacher_disagreement_score":0.73265606,"about_ca_system_score_codex":0.002052196,"about_ca_system_score_gemma":0.0027838808,"threshold_uncertainty_score":0.38133365},"labels":[],"label_agreement":null},{"id":"W7115600777","doi":"10.22004/ag.econ.382392","title":"The Assessment of Türkiye’s Competitiveness in Cherry Trade","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market share; Agriculture; Production (economics); Position (finance); Market access; Trade barrier; International market","score_opus":0.03719334313724347,"score_gpt":0.2527805571376086,"score_spread":0.21558721400036512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115600777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874441,0.00021643129,0.00005857574,0.0000818103,0.0000050963877,0.000011291217,0.00025507773,0.0000018453757,0.011925829],"genre_scores_gemma":[0.9979594,0.00012006706,0.00010627516,0.000019249443,0.0000036618749,0.0000067727838,0.00034211474,0.0000014025017,0.0014410006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971896,0.00005708347,0.000023686121,0.00002961172,0.00007301352,0.00009754796],"domain_scores_gemma":[0.9995683,0.000061032602,0.0001286975,0.000014775864,0.00015558577,0.000071578164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004828283,0.00027108818,0.00015831058,0.0021632707,0.0006911736,0.001591588,0.00023928317,0.00035169753,0.0041627917],"category_scores_gemma":[0.00074271875,0.00007094224,0.00026805492,0.0020450212,0.0004463928,0.0007721724,0.0007003045,0.00018082849,0.000601831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023321576,0.000073908326,0.97137624,0.00006605586,0.00006368047,0.0012675996,0.0028523714,0.00034251017,0.0028656947,0.0015419112,0.0008642478,0.018452588],"study_design_scores_gemma":[0.000004509009,0.00011686444,0.976536,0.000032022443,0.000023190443,0.00040390718,0.017061364,0.00039715212,0.00060295593,0.00019370642,0.0046151257,0.000013307185],"about_ca_topic_score_codex":0.0104500605,"about_ca_topic_score_gemma":0.015513462,"teacher_disagreement_score":0.0104500605,"about_ca_system_score_codex":0.00091348845,"about_ca_system_score_gemma":0.00065673294,"threshold_uncertainty_score":0.020778477},"labels":[],"label_agreement":null},{"id":"W7130384398","doi":"10.22004/ag.econ.393823","title":"Impact of COVID-19 Response on Unemployment in Sri Lanka","year":2020,"lang":"en","type":"report","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Quarter (Canadian coin); Context (archaeology); Sri lanka; Work (physics); Government (linguistics); Economic impact analysis; Economic recovery; Productivity","score_opus":0.13433592245793555,"score_gpt":0.37499795003534214,"score_spread":0.2406620275774066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130384398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9379336,0.0037402716,0.0004302512,0.005328705,0.00019962415,0.00015907185,0.00504947,0.000072114046,0.047086902],"genre_scores_gemma":[0.9926132,0.0022854572,0.00018965708,0.0005883228,0.0000381485,0.00006307573,0.0012659461,0.000012248061,0.0029440094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977586,0.0006009408,0.00016242702,0.00008082945,0.00041552857,0.0009814858],"domain_scores_gemma":[0.9980015,0.00043874382,0.00049716805,0.00006337454,0.0006397313,0.00035952675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013394954,0.00033240425,0.00032110084,0.0009320146,0.0012377924,0.0021275217,0.0005197604,0.00075118465,0.004504577],"category_scores_gemma":[0.0041706464,0.00022891708,0.0007351586,0.00086609734,0.000605314,0.00058260397,0.002559137,0.001302839,0.000568838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001778652,0.00040876036,0.8084906,0.003596788,0.0008768095,0.0068623545,0.009550387,0.018577231,0.0042063384,0.011222948,0.03518926,0.09923992],"study_design_scores_gemma":[0.000037266516,0.0006472998,0.9482892,0.0010478775,0.00019293377,0.00063356245,0.019836165,0.0027410062,0.0013081186,0.0006214558,0.024552962,0.0000920313],"about_ca_topic_score_codex":0.123108715,"about_ca_topic_score_gemma":0.14985096,"teacher_disagreement_score":0.123108715,"about_ca_system_score_codex":0.0032886425,"about_ca_system_score_gemma":0.003827464,"threshold_uncertainty_score":0.2447843},"labels":[],"label_agreement":null},{"id":"W7157361199","doi":"10.22004/ag.econ.397831","title":"Drivers and Barriers to Producer Adoption of Climate Resilient Pea Varieties in the Western Canadian Prairies","year":2025,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resistance (ecology); Multinomial logistic regression; Incentive; Crop rotation; Psychological resilience; Certainty; Crop insurance; Risk aversion (psychology); Climate change; Production (economics)","score_opus":0.013542928428975273,"score_gpt":0.23447775971636045,"score_spread":0.22093483128738517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7157361199","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976986,0.00007634459,0.0001557409,0.00025597113,0.0000016671964,0.00002152107,0.00013846412,0.0000025740785,0.0016489923],"genre_scores_gemma":[0.99850404,0.00017362346,0.0004020913,0.000050897084,0.0000010887918,0.000013639504,0.000094484436,0.0000022894897,0.00075782614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998808,0.00014727605,0.000048971026,0.00025611944,0.00041037204,0.00032917009],"domain_scores_gemma":[0.9969439,0.0007249324,0.0007073105,0.00015014074,0.0008436735,0.0006299466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015643508,0.00022581579,0.00022196384,0.00076419587,0.0030187373,0.0019258306,0.0010354242,0.00040535672,0.0018661442],"category_scores_gemma":[0.0042997557,0.00033052877,0.00021606166,0.0017730608,0.0014500729,0.00080923364,0.0011020745,0.0007433032,0.00010459484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018508907,0.00015581545,0.9301807,0.000090166504,0.000060719547,0.0006107456,0.036212206,0.0007901996,0.003846475,0.0020632127,0.0009620581,0.024842646],"study_design_scores_gemma":[0.0000068814097,0.000037311296,0.9665991,0.00003426915,0.000013796561,0.000053949458,0.028362317,0.00126089,0.00015327962,0.00020311285,0.003241954,0.000033112137],"about_ca_topic_score_codex":0.98381436,"about_ca_topic_score_gemma":0.99433124,"teacher_disagreement_score":0.019965457,"about_ca_system_score_codex":0.019965457,"about_ca_system_score_gemma":0.020687928,"threshold_uncertainty_score":0.14486021},"labels":[],"label_agreement":null},{"id":"W7160488356","doi":"10.22004/ag.econ.399982","title":"Benefits Perceived by Members and Factors Influencing Membership of Farmer Producer Organizations in Middle Gujarat","year":2024,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Livestock Management and Performance Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market access; Agriculture; Value (mathematics); Resource (disambiguation); Quality (philosophy); Government (linguistics); Access to finance; Quarter (Canadian coin)","score_opus":0.03282869077099673,"score_gpt":0.21100753633263553,"score_spread":0.1781788455616388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160488356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993919,0.000025824524,0.000016587823,0.00006655765,0.0000019350448,0.0000028233624,0.000009694508,8.5716704e-7,0.0004837582],"genre_scores_gemma":[0.9995684,0.00003112666,0.000034094355,0.000019152782,0.000002731298,0.0000036377685,0.00001518722,4.930218e-7,0.00032506968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999283,0.0002879366,0.000036233272,0.00005810112,0.00012981873,0.00020493258],"domain_scores_gemma":[0.9975005,0.00045081705,0.00089508045,0.000056445097,0.00023561872,0.0008615986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008797671,0.00013755045,0.00013748357,0.00048461225,0.0012154735,0.00090732484,0.0002602539,0.0003211526,0.0021972707],"category_scores_gemma":[0.0023693205,0.00010282289,0.000113117385,0.00040166324,0.00061842747,0.00038612267,0.0007680631,0.00031111075,0.00020875645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117338626,0.00015193815,0.94177496,0.000043946966,0.000016555186,0.00061361404,0.043920048,0.000071084956,0.0015359528,0.00024105479,0.00044328344,0.011070267],"study_design_scores_gemma":[0.0000020140455,0.00012989639,0.9353795,0.000021611502,0.0000061780092,0.000149282,0.06246585,0.000083313775,0.00008376982,0.000042748685,0.0016275396,0.000008217225],"about_ca_topic_score_codex":0.013391766,"about_ca_topic_score_gemma":0.022892982,"teacher_disagreement_score":0.013391766,"about_ca_system_score_codex":0.0006015618,"about_ca_system_score_gemma":0.0004965016,"threshold_uncertainty_score":0.0266276},"labels":[],"label_agreement":null},{"id":"W7160497957","doi":"10.22004/ag.econ.399888","title":"Impact of Covid -19 on marketing of vegetables in the Amritsar district of Punjab","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rupee; Quarter (Canadian coin); Agriculture; Coronavirus disease 2019 (COVID-19); Marketing channel; Sowing","score_opus":0.0815696491904916,"score_gpt":0.28954461298874873,"score_spread":0.20797496379825714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160497957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985032,0.0001172447,0.000018267416,0.00015512192,0.0000065685917,0.000011277748,0.000106423875,0.000005096497,0.0010767771],"genre_scores_gemma":[0.99865794,0.0001714421,0.00007997228,0.00013074857,0.000005370741,0.000010876253,0.00014691628,0.000002681032,0.00079405453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991059,0.0001920244,0.000052334693,0.00010221133,0.0001629435,0.00038459178],"domain_scores_gemma":[0.9978484,0.00025601443,0.0008027419,0.00007685474,0.00017131407,0.00084472564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005221664,0.00029410963,0.00022001546,0.0007176785,0.001355778,0.0013215735,0.00061196287,0.00045907678,0.0042996043],"category_scores_gemma":[0.0014011707,0.00034569768,0.00023491376,0.0010504058,0.001043379,0.00056986115,0.0016983002,0.00095098594,0.00029920042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020252519,0.000609448,0.9631013,0.0001760919,0.0000348469,0.0028031373,0.0068839844,0.00015967901,0.004567659,0.00035290848,0.0011631451,0.019945227],"study_design_scores_gemma":[0.0000029033827,0.00018938746,0.99128425,0.00002795981,0.000004789339,0.00030763904,0.005761154,0.000073096184,0.00018182877,0.000024905376,0.0021328859,0.00000925952],"about_ca_topic_score_codex":0.059331954,"about_ca_topic_score_gemma":0.12098867,"teacher_disagreement_score":0.059331954,"about_ca_system_score_codex":0.0025652885,"about_ca_system_score_gemma":0.0024328067,"threshold_uncertainty_score":0.11797321},"labels":[],"label_agreement":null},{"id":"W7160514291","doi":"10.22004/ag.econ.400062","title":"Export Dynamics of Vinegar Preserved Gherkins from India: Markov Chain Approach","year":2025,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Markov chain; Index (typography); Supply chain; Agriculture; Production (economics); Export performance; Market share","score_opus":0.020945232342711607,"score_gpt":0.20345929824165934,"score_spread":0.18251406589894772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160514291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813234,0.00015601858,0.013466675,0.00044672482,0.000012538508,0.00003425904,0.0007493014,0.00004037741,0.0037706932],"genre_scores_gemma":[0.99489117,0.00019751683,0.0015954648,0.000025905285,0.0000050532053,0.000028674507,0.00078540813,0.000011960486,0.002458841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997813,0.000056030996,0.000012375041,0.000052798838,0.000026713857,0.0000708159],"domain_scores_gemma":[0.998245,0.0011753857,0.00022743673,0.000060211594,0.00018436507,0.0001076767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084565027,0.0002694044,0.00033784684,0.0009906613,0.0005650621,0.0012112528,0.0006154238,0.0004935493,0.005848236],"category_scores_gemma":[0.0026986534,0.0002868593,0.00078022474,0.00072459574,0.00052757823,0.0007134995,0.00072364905,0.0007343146,0.0003387696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022246495,0.000117039446,0.15192989,0.000078805155,0.000110355126,0.0008646605,0.0006603799,0.8152925,0.0013671851,0.01836165,0.0015203417,0.009474751],"study_design_scores_gemma":[0.000009413276,0.00004927888,0.01497468,0.000025527466,0.000036321275,0.00009053967,0.00038524944,0.9792485,0.00028643917,0.0041953367,0.0006722587,0.000026425978],"about_ca_topic_score_codex":0.044664633,"about_ca_topic_score_gemma":0.03338614,"teacher_disagreement_score":0.044664633,"about_ca_system_score_codex":0.0012047219,"about_ca_system_score_gemma":0.0011486597,"threshold_uncertainty_score":0.08880931},"labels":[],"label_agreement":null},{"id":"W7160545907","doi":"10.22004/ag.econ.399640","title":"Price stability of commercially traded fishes in ernakulam markets, Kerala","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fisheries and Aquaculture Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Fish <Actinopterygii>; Consumption (sociology); Quarter (Canadian coin); Volatility (finance); Fishing; Fish consumption; Value (mathematics)","score_opus":0.024664888840089536,"score_gpt":0.19404046240615982,"score_spread":0.1693755735660703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160545907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99957925,0.000022334658,0.0000074775708,0.000019359215,4.3070108e-7,7.7758773e-7,0.0000389924,6.469733e-7,0.00033065022],"genre_scores_gemma":[0.9996731,0.000038775077,0.000018621404,0.0000055777487,0.0000012813341,0.0000010491668,0.00004232373,5.597162e-7,0.0002186514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998758,0.00001636298,0.000011262651,0.000023658771,0.000032293694,0.00004063076],"domain_scores_gemma":[0.9996699,0.00006359944,0.00015443076,0.00001313345,0.00006328337,0.00003558882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018595997,0.00008239056,0.00013408475,0.00076832593,0.00043945212,0.0009233477,0.00023716921,0.00012798597,0.0014377246],"category_scores_gemma":[0.0006117646,0.000112180074,0.00011413109,0.00123156,0.00037486907,0.00045270968,0.0004364251,0.00018701743,0.00016854891],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011797592,0.00007654396,0.98390293,0.0000288798,0.00003094122,0.00088764064,0.0029969104,0.0002007977,0.001728994,0.0005283508,0.00030730735,0.009192726],"study_design_scores_gemma":[0.0000010013213,0.000020944706,0.9940572,0.0000032626185,0.0000050300478,0.00020109134,0.004933255,0.00021706859,0.00016165449,0.000040442035,0.00035463113,0.0000043583277],"about_ca_topic_score_codex":0.024599887,"about_ca_topic_score_gemma":0.048597503,"teacher_disagreement_score":0.024599887,"about_ca_system_score_codex":0.0006930593,"about_ca_system_score_gemma":0.00044976154,"threshold_uncertainty_score":0.04891336},"labels":[],"label_agreement":null},{"id":"W7160909780","doi":"10.22004/ag.econ.400137","title":"Fostering A Transformative Shift In Canadian Agriculture By Addressing The Challenges Faced By Farm Women","year":2024,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Agriculture; Diversity (politics); Narrative; Farm workers; Small farm","score_opus":0.058248839698505916,"score_gpt":0.2625649901819353,"score_spread":0.20431615048342938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160909780","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6037975,0.0024793982,0.00254072,0.07723534,0.00069798075,0.00019182547,0.00024074971,0.00013613845,0.31268033],"genre_scores_gemma":[0.940632,0.0015713727,0.001820328,0.0038272182,0.000039746214,0.000040122024,0.000063292115,0.000057782105,0.05194816],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99674195,0.000771942,0.000032421554,0.00017742392,0.00066796906,0.0016082532],"domain_scores_gemma":[0.9976306,0.000306627,0.00013529809,0.0000745073,0.00048229675,0.0013706768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026110003,0.00042785512,0.00024483667,0.0010152599,0.046045877,0.008829598,0.0016213777,0.0015865655,0.007898326],"category_scores_gemma":[0.0028678211,0.00025347568,0.00025520902,0.0015695579,0.012340696,0.0021857074,0.008000565,0.0025495295,0.000544651],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006965588,0.00008977516,0.017889615,0.00017495228,0.000013440774,0.0029225834,0.8167383,0.00023619311,0.002570248,0.036848854,0.050802995,0.071643434],"study_design_scores_gemma":[0.0000034286795,0.00002407185,0.0062250877,0.00010245967,0.000006947988,0.00021361497,0.6959233,0.00009993178,0.00032404895,0.0015455766,0.29550335,0.00002823109],"about_ca_topic_score_codex":0.9441789,"about_ca_topic_score_gemma":0.986919,"teacher_disagreement_score":0.05629297,"about_ca_system_score_codex":0.05629297,"about_ca_system_score_gemma":0.13135232,"threshold_uncertainty_score":0.40843594},"labels":[],"label_agreement":null},{"id":"W7160935985","doi":"10.22004/ag.econ.400139","title":"The Role Of Professional Advisors In Slowing Or Preventing Development Of Future Farmers In Canada: What If We’re Part Of The Problem?","year":2024,"lang":"en","type":"other","venue":"AgEcon Search (University of Minnesota, USA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Succession planning; Process (computing); Ecological succession; Plan (archaeology)","score_opus":0.016855127001917908,"score_gpt":0.23217044705917672,"score_spread":0.2153153200572588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160935985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40686494,0.039747,0.0031843362,0.31676438,0.0021024959,0.00038095957,0.0014638087,0.00029046377,0.22920164],"genre_scores_gemma":[0.9132826,0.020048968,0.004336956,0.011766603,0.00014018621,0.00006481807,0.00027481152,0.00006078837,0.050024245],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99609417,0.00093232095,0.00008345678,0.00027147538,0.0008662063,0.0017523783],"domain_scores_gemma":[0.98718864,0.0016869962,0.00069772237,0.00018905355,0.004044283,0.006193238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037354962,0.0003057311,0.00026837536,0.0009818849,0.011637901,0.0045063985,0.0016165159,0.0011986489,0.009542574],"category_scores_gemma":[0.010987766,0.00018455337,0.00024033446,0.0013607705,0.0032412165,0.0016255094,0.0030196572,0.0020880469,0.0005420604],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032910125,0.00031326906,0.19543375,0.0023825504,0.00010519552,0.002754186,0.0528148,0.00095053815,0.0016618685,0.03794209,0.17397392,0.5313387],"study_design_scores_gemma":[0.000052196705,0.00018279755,0.19709545,0.003600828,0.00017949542,0.0006066082,0.19482109,0.0013084394,0.0015071251,0.008158117,0.592278,0.0002098426],"about_ca_topic_score_codex":0.9755106,"about_ca_topic_score_gemma":0.9949013,"teacher_disagreement_score":0.054826375,"about_ca_system_score_codex":0.054826375,"about_ca_system_score_gemma":0.2188471,"threshold_uncertainty_score":0.39779508},"labels":[],"label_agreement":null},{"id":"W795780379","doi":"10.22004/ag.econ.314684","title":"Trends in Logistics Professional Development: Skills vs. Concept - Case Study: The Logisitics Institute","year":2021,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Business; Competence (human resources); Supply chain; Human resources; Government (linguistics); Humanitarian Logistics; Management; Marketing; Finance; Process management; Economics","score_opus":0.06317443881445715,"score_gpt":0.28873865527324016,"score_spread":0.225564216458783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W795780379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.921293,0.0025210092,0.0016218296,0.010454091,0.00012755314,0.00022607748,0.00026568517,0.00004124129,0.063449465],"genre_scores_gemma":[0.9767969,0.0033812805,0.002164138,0.0008576572,0.000053616823,0.0002675345,0.00028410862,0.000029773972,0.016164998],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99737823,0.0013964568,0.00007884787,0.00011059875,0.0006101914,0.00042572714],"domain_scores_gemma":[0.99676263,0.0016497832,0.000207614,0.00009279876,0.0004885539,0.00079861854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045192325,0.00017859865,0.00017590282,0.0029208907,0.0036556704,0.003475959,0.00095747184,0.0012077343,0.0034026077],"category_scores_gemma":[0.0056444774,0.0002130173,0.0002518573,0.0045707305,0.001869219,0.0025995504,0.0022777726,0.0024003969,0.00070921576],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057930977,0.011237012,0.13937849,0.0007472653,0.000017413786,0.013296543,0.44358942,0.0010466363,0.0021724647,0.05767963,0.05587783,0.27437794],"study_design_scores_gemma":[0.00013378361,0.0014144328,0.102485366,0.0007328001,0.000022403694,0.0063331807,0.586411,0.0020372628,0.0028348162,0.0043787276,0.29313257,0.000083598534],"about_ca_topic_score_codex":0.011313147,"about_ca_topic_score_gemma":0.021312475,"teacher_disagreement_score":0.011313147,"about_ca_system_score_codex":0.0055322284,"about_ca_system_score_gemma":0.0055973465,"threshold_uncertainty_score":0.040139377},"labels":[],"label_agreement":null}]}