{"meta":{"query_hash":"a4cdbaeefd42","filters":{"venue":"Journal of Agricultural and Applied Economics"},"cohort_total":51,"direct_labels_cover":1,"predictions_cover":51,"exported":51,"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/a4cdbaeefd42","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Agricultural+and+Applied+Economics"},"results":[{"id":"W1496044810","doi":"10.1017/s1074070800027061","title":"Experimental Evidence on Willingness to Pay for Red Meat Traceability in the United States, Canada, the United Kingdom, and Japan","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":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; Willingness to pay; Common value auction; Product (mathematics); Business; Marketing; Verifiable secret sharing; Economics; Agricultural economics; Microeconomics; Computer science; Mathematics","score_opus":0.08408817041626815,"score_gpt":0.22537421512887165,"score_spread":0.1412860447126035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496044810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713,0.0001160246,0.00022320902,0.0001222625,0.0000033615152,0.000019165058,0.00009103689,0.0000043750197,0.0022905667],"genre_scores_gemma":[0.99808335,0.00013330225,0.00040304888,0.00007425014,0.0000033111487,0.000021900318,0.00024676754,0.0000041277767,0.0010299543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989833,0.00039370966,0.00006988386,0.00014475275,0.0002584494,0.00014983246],"domain_scores_gemma":[0.9810373,0.010903173,0.0031490535,0.0018965622,0.002068965,0.00094491296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032858162,0.0004381623,0.0005011432,0.00040041195,0.00092998863,0.0009541402,0.0005306347,0.0006612168,0.004021183],"category_scores_gemma":[0.014104772,0.00028096643,0.00028441162,0.00062573183,0.0021409325,0.0005100605,0.00050988625,0.0005001075,0.00018690298],"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":[0.052079912,0.012191919,0.69952184,0.000983801,0.0015688993,0.0014022675,0.007147302,0.02599647,0.065857895,0.036217432,0.009365118,0.0876671],"study_design_scores_gemma":[0.003657533,0.003333784,0.94398326,0.00007613236,0.0006333285,0.0002806088,0.0032609496,0.02008467,0.009580699,0.007905728,0.0069712135,0.00023208576],"about_ca_topic_score_codex":0.53726643,"about_ca_topic_score_gemma":0.5311769,"teacher_disagreement_score":0.46273357,"about_ca_system_score_codex":0.0040854984,"about_ca_system_score_gemma":0.0034040632,"threshold_uncertainty_score":0.9309174},"labels":[],"label_agreement":null},{"id":"W1504912969","doi":"10.1017/s1074070800003758","title":"Discussion: Animal Identification Systems in North America: Achievements and Future Challenges","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Food Supply Chain Traceability","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":"Identification (biology); Livestock; Politics; Work (physics); Business; Political science; Geography; Engineering; Biology; Ecology","score_opus":0.010473980210507317,"score_gpt":0.18491980265701338,"score_spread":0.17444582244650605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504912969","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":[0.030621903,0.026509551,0.014313308,0.8485934,0.0033060552,0.00014592239,0.00044917132,0.00029215091,0.0757685],"genre_scores_gemma":[0.653867,0.077831425,0.056105215,0.13940717,0.0065805167,0.0005806978,0.0015035726,0.00017064059,0.063953795],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99511445,0.001953847,0.0002887568,0.0005824143,0.001304561,0.0007560303],"domain_scores_gemma":[0.9805299,0.0072212457,0.0010346108,0.00095677545,0.00883131,0.0014262093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017135004,0.00048797776,0.0004669943,0.0015006886,0.0053695827,0.006483759,0.0028202636,0.0047570257,0.00958442],"category_scores_gemma":[0.014322679,0.00021236308,0.0004414595,0.0021287045,0.0038456202,0.009983957,0.0032274644,0.0033138113,0.0013284866],"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":[0.00021657273,0.0002991478,0.037150767,0.0023790796,0.00007270643,0.00058252335,0.0085467165,0.0039828788,0.0019059874,0.19938572,0.21631369,0.52916414],"study_design_scores_gemma":[0.000029859275,0.0002037365,0.028670538,0.00195204,0.00005944277,0.0006355043,0.052666195,0.0033363272,0.0020638919,0.090344995,0.8199264,0.000111137415],"about_ca_topic_score_codex":0.06427305,"about_ca_topic_score_gemma":0.07564857,"teacher_disagreement_score":0.06427305,"about_ca_system_score_codex":0.0073513957,"about_ca_system_score_gemma":0.018472007,"threshold_uncertainty_score":0.1277979},"labels":[],"label_agreement":null},{"id":"W1507163425","doi":"10.1017/s1074070800027036","title":"Third-Country Effects on the Market Shares of U.S. Wheat in Asian Countries","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","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":"Liberian dollar; Economics; Volatility (finance); Currency; Monetary economics; Imperfect competition; Market share; Exchange rate; International economics; Financial economics; Microeconomics","score_opus":0.014425206173981998,"score_gpt":0.17325078898566404,"score_spread":0.15882558281168205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507163425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354655,0.0002959225,0.0021222758,0.00040149392,0.000019983238,0.00001493305,0.0010918608,0.000058963997,0.0024480638],"genre_scores_gemma":[0.99672544,0.00032221235,0.00029372817,0.000051501935,0.000011641762,0.000015607337,0.0007923226,0.000010967779,0.0017765643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996045,0.0001497643,0.000025381587,0.00006638421,0.000032892167,0.00012106846],"domain_scores_gemma":[0.996276,0.0020542832,0.00092048274,0.00020847487,0.00019103837,0.00034966582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014967909,0.000631631,0.00080079905,0.00053776184,0.00042431126,0.002080918,0.00059881946,0.00082038733,0.006492331],"category_scores_gemma":[0.0027649044,0.00048909005,0.001842035,0.0009441017,0.000736986,0.001016612,0.0013558083,0.001760117,0.00064204144],"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":[0.0012554268,0.00053583184,0.65882033,0.0001667514,0.0010755053,0.0016300615,0.00067003904,0.29559532,0.0040023634,0.018141668,0.0036492238,0.014457524],"study_design_scores_gemma":[0.000343093,0.001003922,0.37702408,0.000110093446,0.0013588927,0.00053193665,0.0017927584,0.59564316,0.0054586874,0.009532638,0.007015891,0.00018476171],"about_ca_topic_score_codex":0.04500019,"about_ca_topic_score_gemma":0.032069255,"teacher_disagreement_score":0.04500019,"about_ca_system_score_codex":0.0012398271,"about_ca_system_score_gemma":0.0010837303,"threshold_uncertainty_score":0.089476526},"labels":[],"label_agreement":null},{"id":"W1527387983","doi":"10.1017/s1074070800022008","title":"Effects of Japanese Import Demand on U.S. Livestock Prices: Reply","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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; Livestock; Supply and demand; Quarter (Canadian coin); Welfare; Short run; Agricultural economics; Monetary economics; Microeconomics; Market economy","score_opus":0.007144430128309045,"score_gpt":0.16568698304543658,"score_spread":0.15854255291712754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527387983","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":[0.001169914,0.0007320178,0.00019998508,0.99037206,0.006588748,0.00000700854,0.0002589905,0.000034385077,0.00063686486],"genre_scores_gemma":[0.0090689305,0.00075561187,0.0002655569,0.97903365,0.008452051,0.00003109764,0.00009554252,0.000041858184,0.002255637],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99735814,0.0006321876,0.00037644524,0.00062187854,0.00065819686,0.00035320013],"domain_scores_gemma":[0.9726555,0.016110811,0.0015501649,0.00084993406,0.007533439,0.0013001653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007283832,0.00084242714,0.0011789674,0.0008494443,0.0030732334,0.002471726,0.003218261,0.030526293,0.0064706495],"category_scores_gemma":[0.027682032,0.0008239253,0.0014667651,0.0016545344,0.0025819957,0.0031768146,0.002546029,0.027554588,0.0034154302],"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":[0.00014021278,0.00004161261,0.00366579,0.00013823052,0.000047350637,0.0003403335,0.00067146955,0.00019267586,0.0004319673,0.0023980113,0.9868873,0.0050451094],"study_design_scores_gemma":[0.00033977447,0.00022122583,0.03693494,0.00060399,0.00049900624,0.0007566735,0.0068269037,0.0020606222,0.0040185917,0.018532319,0.9285687,0.00063725165],"about_ca_topic_score_codex":0.042626288,"about_ca_topic_score_gemma":0.048227903,"teacher_disagreement_score":0.042626288,"about_ca_system_score_codex":0.0040276893,"about_ca_system_score_gemma":0.0051737013,"threshold_uncertainty_score":0.084756374},"labels":[],"label_agreement":null},{"id":"W1544682703","doi":"10.1017/s1074070800027103","title":"Evidence on the Amenity Value of Wetlands in a Rural Setting","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","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":"","keywords":"Amenity; Wetland; Property value; Residential property; Value (mathematics); Quarter (Canadian coin); Geography; Property (philosophy); Environmental science; Business; Ecology; Statistics; Mathematics; Economic geography; Real estate","score_opus":0.048794567610768315,"score_gpt":0.19352351852347968,"score_spread":0.14472895091271137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544682703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977983,0.00012242429,0.00018129444,0.00011399951,0.0000014628267,0.0000010895549,0.00005714636,0.0000010272248,0.0017233148],"genre_scores_gemma":[0.9997739,0.000064161315,0.0000611624,0.000008504303,0.0000028581658,5.4674774e-7,0.000025218378,4.3123956e-7,0.00006320473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996841,0.00015576772,0.000012018507,0.000048406233,0.00006420978,0.000035433302],"domain_scores_gemma":[0.9951239,0.0019751077,0.0019307331,0.00020635771,0.00034775375,0.0004161081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045565589,0.000094151284,0.0001267449,0.0006880419,0.00026961125,0.00052803097,0.0002417172,0.0001598726,0.0019171268],"category_scores_gemma":[0.0037712636,0.00008092387,0.00012390429,0.00090130116,0.0007173865,0.0004520258,0.0004731211,0.00022670592,0.00010668808],"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":[0.00022453164,0.000118562595,0.97917444,0.00006108286,0.00009622062,0.00040378404,0.00072587404,0.0008721294,0.0017496452,0.001368781,0.0002997648,0.0149051165],"study_design_scores_gemma":[0.0000034331295,0.000071659946,0.9970667,0.000010941462,0.0000107847,0.00014296899,0.0011018888,0.00042167972,0.00012620809,0.0004434038,0.00059647387,0.000003919908],"about_ca_topic_score_codex":0.0094993925,"about_ca_topic_score_gemma":0.02736709,"teacher_disagreement_score":0.0094993925,"about_ca_system_score_codex":0.0002952863,"about_ca_system_score_gemma":0.00016042187,"threshold_uncertainty_score":0.018888235},"labels":[],"label_agreement":null},{"id":"W1547608521","doi":"10.1017/s1074070800003746","title":"Development and Implementation of a Mandatory Animal Identification System: The Canadian Experience","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Identification (biology); Traceability; Agency (philosophy); Government (linguistics); Exploit; Business; Agriculture; Herd; Animal health; Geography; Engineering; Computer science; Computer security; Biology; Ecology","score_opus":0.010531082384817488,"score_gpt":0.20298519825477665,"score_spread":0.19245411586995917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547608521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56137955,0.014031562,0.052489843,0.10062008,0.0014487621,0.0027047936,0.004436741,0.0019447269,0.26094383],"genre_scores_gemma":[0.82402956,0.01827922,0.08319357,0.008059002,0.00012582983,0.00032538106,0.0034050166,0.0006784978,0.0619039],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9873325,0.001923176,0.0005619443,0.001093164,0.006792408,0.0022968305],"domain_scores_gemma":[0.974596,0.0021541703,0.0007366453,0.0011394907,0.01621218,0.005161449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01399115,0.0005036046,0.00031191352,0.0017705864,0.0079048155,0.005104023,0.0035825318,0.0014738567,0.0038611696],"category_scores_gemma":[0.01732337,0.00057026546,0.0004051215,0.0047922097,0.0036892758,0.0025843496,0.0029623879,0.0023885404,0.0006729471],"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":[0.00034962018,0.0013825017,0.07847692,0.0013817662,0.000075807846,0.0019573537,0.037232578,0.0043246173,0.007810178,0.040392317,0.06258037,0.764036],"study_design_scores_gemma":[0.00007268857,0.00088714005,0.1276775,0.0009201246,0.00009658192,0.0008030962,0.03247288,0.0044123097,0.0065475493,0.0020012439,0.8238825,0.00022639886],"about_ca_topic_score_codex":0.98498833,"about_ca_topic_score_gemma":0.98624057,"teacher_disagreement_score":0.08039934,"about_ca_system_score_codex":0.08039934,"about_ca_system_score_gemma":0.25570318,"threshold_uncertainty_score":0.58334076},"labels":[],"label_agreement":null},{"id":"W1554819687","doi":"10.1017/s1074070800021891","title":"Measuring the Intensity of Competition in the Japanese Beef Market","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","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":"","keywords":"Market power; Competitor analysis; Economics; Residual; Profit (economics); Competition (biology); Agricultural economics; Market share; Marginal cost; Microeconomics; Mathematics; Monopoly","score_opus":0.018005922581086728,"score_gpt":0.16574876787666823,"score_spread":0.14774284529558152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554819687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720806,0.000034394812,0.0020011405,0.000028842578,8.1388566e-7,0.0000062008066,0.00008541618,0.00000895384,0.0006262578],"genre_scores_gemma":[0.99887365,0.000021848437,0.00070855196,0.000006528759,0.0000016686062,0.000005737035,0.00022830711,0.000002294012,0.0001513519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945754,0.00016725778,0.000038632334,0.00013535483,0.00007311335,0.00012813865],"domain_scores_gemma":[0.99849606,0.0007191478,0.00036664275,0.00008368771,0.00017602788,0.00015847519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014526546,0.00047984533,0.00048550486,0.00084859895,0.00028043307,0.0011963391,0.0005075567,0.00048440284,0.0013518108],"category_scores_gemma":[0.002940273,0.00032023262,0.0006984543,0.0010176764,0.00060981826,0.0008912715,0.0008397099,0.00047543357,0.00011064494],"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":[0.00047665028,0.0002829748,0.5477228,0.000128829,0.00033929554,0.00039125353,0.0007567759,0.42272237,0.0073053315,0.008748312,0.00060042524,0.01052494],"study_design_scores_gemma":[0.00003335741,0.00021397589,0.23928106,0.0000061225282,0.00008734072,0.00005251262,0.0006501354,0.75734377,0.0005781078,0.0013880582,0.00032499095,0.0000405639],"about_ca_topic_score_codex":0.04907996,"about_ca_topic_score_gemma":0.030876053,"teacher_disagreement_score":0.04907996,"about_ca_system_score_codex":0.0012612429,"about_ca_system_score_gemma":0.00069057965,"threshold_uncertainty_score":0.09758854},"labels":[],"label_agreement":null},{"id":"W1561524466","doi":"10.1017/s1074070800002157","title":"Relative Importance Rankings for Pork Attributes by Asian-Origin Consumers in California: Applying an Ordered Probit Model to a Choice-Based Sample","year":2002,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Alberta","funders":"","keywords":"Ranking (information retrieval); Ordered probit; Probit model; Sample (material); Probit; Marketing; Geography; Business; Econometrics; Economics; Computer science","score_opus":0.02677691823663986,"score_gpt":0.2061857487585691,"score_spread":0.17940883052192924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561524466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996456,0.000005257369,0.00013813023,0.000008608122,5.468992e-7,0.000009553116,0.0000754931,0.0000013753489,0.000115335875],"genre_scores_gemma":[0.9990029,0.00001852829,0.0003032048,0.000008535137,0.0000015976931,0.000017308848,0.00029878432,0.0000018782692,0.00034742054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992766,0.0003163726,0.000040918214,0.0001624808,0.00012894037,0.00007485819],"domain_scores_gemma":[0.994334,0.0038022695,0.0006525887,0.00031511206,0.0005611424,0.00033481006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002475458,0.00024742482,0.000393497,0.0004819255,0.0005661009,0.00094547577,0.0005639642,0.00030747123,0.0025678375],"category_scores_gemma":[0.0056106723,0.00030912217,0.00046217535,0.0007123696,0.0005347675,0.00032151747,0.00034151165,0.00080225675,0.0003001493],"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":[0.00058849144,0.0004654374,0.98999316,0.000019267261,0.00011835316,0.00011207246,0.00118839,0.0028954798,0.0003732658,0.0001385701,0.00027181313,0.003835769],"study_design_scores_gemma":[0.00007488073,0.00057576696,0.95622075,0.000012005862,0.00010300964,0.00007085199,0.00379562,0.038187027,0.0003142337,0.0002002957,0.00042322974,0.000022335193],"about_ca_topic_score_codex":0.10038304,"about_ca_topic_score_gemma":0.081207804,"teacher_disagreement_score":0.10038304,"about_ca_system_score_codex":0.0006748028,"about_ca_system_score_gemma":0.00045296736,"threshold_uncertainty_score":0.19959748},"labels":[],"label_agreement":null},{"id":"W1574822655","doi":"10.1017/s1074070800022768","title":"Rationality of U.S. Department of Agriculture Livestock Price Forecasts: A Unified Approach","year":2007,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","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":"Rationality; Economics; Order (exchange); Livestock; Econometrics; Agriculture; Quarter (Canadian coin); Irrational number; Rational expectations; Consensus forecast; Agribusiness; Financial economics; Mathematics; Finance; Geography","score_opus":0.03785842571181928,"score_gpt":0.19926676435320384,"score_spread":0.16140833864138457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574822655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5776109,0.002675494,0.38635474,0.00383861,0.00012596318,0.0003603584,0.0012090777,0.00018506387,0.027639769],"genre_scores_gemma":[0.976837,0.0004802692,0.021679606,0.00010186763,0.00008485634,0.000074704345,0.00034582184,0.000011780939,0.0003840684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9851614,0.007609405,0.0010993177,0.0018723186,0.003456072,0.0008014473],"domain_scores_gemma":[0.938827,0.042851623,0.008864604,0.003524269,0.0053114,0.0006211682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020942012,0.00092905824,0.0019825243,0.0050986717,0.0009096105,0.005242431,0.0014362452,0.0014835558,0.0010598969],"category_scores_gemma":[0.08452806,0.0006781381,0.0014243441,0.00291968,0.0027782116,0.004899386,0.0031939582,0.0017203096,0.00013169668],"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":[0.00044946678,0.0001953734,0.13395855,0.00021690731,0.0013443785,0.0006053656,0.0018410106,0.43696663,0.00087881484,0.31176016,0.0036409106,0.1081425],"study_design_scores_gemma":[0.00007291126,0.0002108627,0.034436215,0.00016639857,0.0002710693,0.00010761229,0.0010775469,0.71705496,0.0006841898,0.24395204,0.0018323964,0.00013376586],"about_ca_topic_score_codex":0.01821938,"about_ca_topic_score_gemma":0.013002835,"teacher_disagreement_score":0.020942012,"about_ca_system_score_codex":0.0035538091,"about_ca_system_score_gemma":0.004191148,"threshold_uncertainty_score":0.1107533},"labels":[],"label_agreement":null},{"id":"W1577094667","doi":"10.1017/s1074070800026651","title":"Developing Policy Relevant Agrifood Models","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Manitoba","funders":"","keywords":"Commodity; Product (mathematics); Government (linguistics); Partial equilibrium; Economics; Industrial organization; Space (punctuation); Public economics; Product differentiation; Commodity market; Business; Microeconomics; General equilibrium theory; Computer science; Market economy","score_opus":0.02324705431637765,"score_gpt":0.18840971813094856,"score_spread":0.1651626638145709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577094667","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":[0.052833475,0.0009390816,0.8400148,0.0056282976,0.00021204985,0.00021094014,0.0023819136,0.0003797795,0.09739965],"genre_scores_gemma":[0.71363705,0.00270838,0.25247848,0.00066235283,0.00020947089,0.0009073096,0.0019912708,0.00029980205,0.02710594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991001,0.00051942095,0.000043749627,0.0001170035,0.00012907483,0.0000907521],"domain_scores_gemma":[0.9971482,0.0018275697,0.0002609877,0.00024037536,0.0003968441,0.00012602656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025728778,0.00075907895,0.0012597542,0.0012268907,0.00076532655,0.0032545943,0.0019327125,0.0026056194,0.008042841],"category_scores_gemma":[0.0093105845,0.00081924367,0.001029466,0.002076903,0.0009971134,0.0032480564,0.0020385298,0.00210505,0.001110168],"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":[0.000006292221,0.000022176751,0.00034180345,0.00002927549,0.0000127601415,0.000059461938,0.00007084584,0.7489525,0.00006410321,0.2454586,0.0011539278,0.003828216],"study_design_scores_gemma":[0.000007858539,0.0000054443076,0.000063059226,0.0000149156585,0.000005728801,0.000008908586,0.0000628256,0.85379463,0.00003945856,0.14200187,0.0039892895,0.000006030829],"about_ca_topic_score_codex":0.017167993,"about_ca_topic_score_gemma":0.01936224,"teacher_disagreement_score":0.017167993,"about_ca_system_score_codex":0.0034008133,"about_ca_system_score_gemma":0.0035555235,"threshold_uncertainty_score":0.034136117},"labels":[],"label_agreement":null},{"id":"W1589288743","doi":"10.1017/s1074070800006854","title":"Assessment of Biotechnology Policies and International Trade in Key Markets for U.S. Agriculture","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Genetically Modified Organisms Research","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":"China; Agricultural biotechnology; International trade; Agriculture; Commercialization; Business; European union; Economic shortage; Negotiation; Product (mathematics); Biotechnology; Agricultural economics; Economics; Political science; Marketing; Biology; Law","score_opus":0.015633510379580988,"score_gpt":0.239792637804342,"score_spread":0.22415912742476102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589288743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81462896,0.0045380765,0.0010563285,0.0068817283,0.00007202084,0.00007740545,0.0013253959,0.000025275884,0.17139484],"genre_scores_gemma":[0.99127066,0.0020027338,0.0004550137,0.0007875999,0.000026235859,0.00003076558,0.0007028262,0.000006080896,0.0047181067],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930847,0.00018208,0.000035426372,0.000067296714,0.00024120737,0.00016552694],"domain_scores_gemma":[0.9975485,0.0007811704,0.00078847574,0.00006613027,0.00059961504,0.00021618465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014049012,0.00023870917,0.0001691996,0.0020745194,0.0009987468,0.0040884307,0.00027753544,0.0009582461,0.0040179053],"category_scores_gemma":[0.0030726984,0.00014573593,0.00039077704,0.0028540944,0.000917995,0.0025981958,0.00075969705,0.00075088337,0.00021596033],"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":[0.0008541656,0.0007199664,0.50294304,0.00031617362,0.00018763856,0.00081916415,0.0012282367,0.014583181,0.002752966,0.3426438,0.02231829,0.11063332],"study_design_scores_gemma":[0.0001277818,0.0006963621,0.74055725,0.00051803875,0.00020962139,0.00030742786,0.013914332,0.019217785,0.00498481,0.07174157,0.14764379,0.00008126132],"about_ca_topic_score_codex":0.0168878,"about_ca_topic_score_gemma":0.030740589,"teacher_disagreement_score":0.0168878,"about_ca_system_score_codex":0.0043913396,"about_ca_system_score_gemma":0.0026768185,"threshold_uncertainty_score":0.03357905},"labels":[],"label_agreement":null},{"id":"W1600367916","doi":"10.1017/s107407080000345x","title":"Economic Evaluation of Wind Energy as an Alternative to Natural Gas Powered Irrigation","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","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":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Net metering; Natural gas; Natural gas prices; Irrigation; Electricity; Environmental science; Metering mode; Quarter (Canadian coin); Wind power; Mile; Agriculture; Renewable energy; Natural resource economics; Economics; Business; Engineering; Distributed generation; Waste management; Ecology; Geography; Electrical engineering","score_opus":0.006190074346873771,"score_gpt":0.21745423942608147,"score_spread":0.2112641650792077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600367916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811162,0.0011083905,0.0012394824,0.00022798449,0.000047728663,0.0001399224,0.0003890961,0.000009508408,0.015721766],"genre_scores_gemma":[0.9977908,0.0004614956,0.0004138842,0.000009262903,0.0000088272345,0.000024652622,0.00011655968,0.0000028943844,0.0011715982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992461,0.00042089567,0.000023412202,0.000037763602,0.00019616578,0.00007558156],"domain_scores_gemma":[0.9979163,0.001516394,0.00015633983,0.00004409372,0.00025405516,0.00011281093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015043482,0.0005167375,0.0004477529,0.00092125713,0.0004042766,0.0013086038,0.000407598,0.00054461515,0.0027011482],"category_scores_gemma":[0.002710419,0.00021877479,0.0004905994,0.0010227774,0.00049623975,0.00091055216,0.000323641,0.0005730606,0.00011321775],"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":[0.019189594,0.0034845741,0.027199296,0.0014920753,0.00057270285,0.0017686704,0.00008898545,0.81904346,0.02052594,0.027296819,0.0030778428,0.07626003],"study_design_scores_gemma":[0.0032462,0.035986185,0.0642306,0.00026369593,0.0012536903,0.00037909648,0.0013604909,0.8327123,0.027664065,0.016502488,0.016213082,0.00018814843],"about_ca_topic_score_codex":0.00401036,"about_ca_topic_score_gemma":0.007260076,"teacher_disagreement_score":0.00401036,"about_ca_system_score_codex":0.0020928513,"about_ca_system_score_gemma":0.0007474099,"threshold_uncertainty_score":0.01518476},"labels":[],"label_agreement":null},{"id":"W1604055491","doi":"10.1017/s1074070800022094","title":"Japanese Consumers' Perceptions on and Willingness to Pay for Credence Attributes Associated with Canola Oil","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"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":"Credence; Willingness to pay; Canola; Affect (linguistics); Scope (computer science); Perception; Credence good; Business; Marketing; Value (mathematics); Oleic acid; Health claims on food labels; Economics; Agricultural science; Food science; Microeconomics; Psychology; Information asymmetry; Biochemistry","score_opus":0.03166606095590707,"score_gpt":0.1826583030316948,"score_spread":0.15099224207578774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604055491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970498,0.00004630538,0.00014835707,0.00009735007,0.0000030596602,0.000005310312,0.00001288009,0.000001160416,0.0026356862],"genre_scores_gemma":[0.99953926,0.00003331935,0.000073705814,0.000024411853,0.0000036995523,0.0000022459258,0.000018417459,6.624675e-7,0.00030435433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994381,0.00018696353,0.000034294007,0.00005005658,0.000196389,0.00009414538],"domain_scores_gemma":[0.9953264,0.0022684813,0.001070202,0.00023981607,0.00061310007,0.0004819231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013941807,0.0002287421,0.00023148504,0.00062235445,0.0005016491,0.0016310913,0.00014924876,0.0007108292,0.0038899712],"category_scores_gemma":[0.006631252,0.00017166596,0.00043665292,0.0004560446,0.0007695551,0.0007718237,0.00046483937,0.00089638826,0.00022449855],"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":[0.0020240028,0.0010799747,0.9239792,0.00021860625,0.0003317413,0.001314363,0.022102151,0.0015489683,0.0144118555,0.0042879838,0.00064773613,0.02805338],"study_design_scores_gemma":[0.000048221154,0.00034753882,0.97404784,0.000034952565,0.00014844409,0.00022716333,0.017667169,0.002608139,0.001050062,0.002177394,0.0015740991,0.00006900072],"about_ca_topic_score_codex":0.007748172,"about_ca_topic_score_gemma":0.009043971,"teacher_disagreement_score":0.007748172,"about_ca_system_score_codex":0.00067900954,"about_ca_system_score_gemma":0.00018305039,"threshold_uncertainty_score":0.015406191},"labels":[],"label_agreement":null},{"id":"W1660898364","doi":"10.1017/s1074070800028352","title":"Alternative Theories and Empirical Approaches to Price Discovery: An Application to Fed Cattle","year":2003,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","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":"University of Manitoba","funders":"","keywords":"Price discovery; Empirical research; Cover (algebra); Economics; Set (abstract data type); Basis (linear algebra); Empirical modelling; Econometrics; Positive economics; Computer science; Financial economics; Epistemology; Mathematics","score_opus":0.039380764269817035,"score_gpt":0.21175620524264754,"score_spread":0.1723754409728305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1660898364","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":[0.23798393,0.011367758,0.6913337,0.023212349,0.00053853256,0.00048441844,0.00050883193,0.00036980963,0.03420069],"genre_scores_gemma":[0.77025187,0.0070689153,0.21364972,0.0016954122,0.0008693778,0.00060595793,0.00029519387,0.00006955108,0.005494042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.98975146,0.0074374946,0.00040879354,0.0008078269,0.0013039655,0.00029040014],"domain_scores_gemma":[0.86698866,0.1212498,0.004265063,0.0037625656,0.0030951924,0.0006386779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023393143,0.00080396334,0.0018303728,0.0056413496,0.0031639843,0.0064551113,0.0034036117,0.004832424,0.009252475],"category_scores_gemma":[0.10677336,0.0005787031,0.0028640057,0.0075136423,0.0073049427,0.0067290645,0.0042792223,0.0036779917,0.00047742817],"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":[0.0003523282,0.00041089798,0.021150362,0.00042739997,0.00038567212,0.0011659537,0.0018604028,0.02432916,0.00027922215,0.8600071,0.002393572,0.08723798],"study_design_scores_gemma":[0.0001457525,0.00012219563,0.0047718156,0.000105230574,0.00011329392,0.0003484105,0.00077088666,0.14531495,0.00016035559,0.84431237,0.003764745,0.000069979054],"about_ca_topic_score_codex":0.007982095,"about_ca_topic_score_gemma":0.0072967173,"teacher_disagreement_score":0.023393143,"about_ca_system_score_codex":0.00474082,"about_ca_system_score_gemma":0.002768429,"threshold_uncertainty_score":0.123716235},"labels":[],"label_agreement":null},{"id":"W1767698382","doi":"10.1017/s1074070800021258","title":"U.S.-Canadian Tomato Wars: An Economist Tries to Make Sense Out of Recent Antidumping Suits","year":2003,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Global trade and economics","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":"Commission; Product (mathematics); Greenhouse; Agricultural economics; Value (mathematics); Economics; Business; International trade; Horticulture; Finance","score_opus":0.044191371663393486,"score_gpt":0.19939035757365753,"score_spread":0.15519898591026404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1767698382","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":[0.030919459,0.013619932,0.0007462118,0.77152324,0.0013250094,0.000027644628,0.0005539297,0.000046963072,0.18123755],"genre_scores_gemma":[0.7179263,0.027598204,0.0013991528,0.14643186,0.0008093726,0.00002613479,0.0004005833,0.00006314094,0.10534525],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99796677,0.00018219433,0.00003913098,0.00016826727,0.00089267653,0.0007509001],"domain_scores_gemma":[0.9976376,0.00055004394,0.00018501814,0.0000797324,0.0010852135,0.000462367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024500077,0.00039701795,0.00040188347,0.0015283026,0.016067065,0.011351911,0.0011870288,0.008251001,0.008013305],"category_scores_gemma":[0.007511128,0.00031447184,0.00055344234,0.0030640634,0.0062452527,0.0037117095,0.0013954452,0.0054794927,0.0006121166],"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":[0.00008935994,0.000033281627,0.009778037,0.000079389145,0.000030892283,0.0008764307,0.0041557504,0.0009379997,0.0002515728,0.39834172,0.5556175,0.029807944],"study_design_scores_gemma":[0.000033293418,0.000025712541,0.019368352,0.00026280974,0.00006222723,0.00020664973,0.01623766,0.0018886405,0.0003995917,0.042617835,0.9187684,0.00012891766],"about_ca_topic_score_codex":0.9692972,"about_ca_topic_score_gemma":0.9866954,"teacher_disagreement_score":0.06654937,"about_ca_system_score_codex":0.06654937,"about_ca_system_score_gemma":0.044132985,"threshold_uncertainty_score":0.48285174},"labels":[],"label_agreement":null},{"id":"W1787671820","doi":"10.1017/s1074070800028923","title":"Border Enforcement and Firm Response in the Management of Invasive Species","year":2007,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":20,"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":"Enforcement; Business; Unintended consequences; Public economics; Economics; Ecology; Political science; Biology","score_opus":0.006778770218320827,"score_gpt":0.193446913952407,"score_spread":0.1866681437340862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1787671820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97653776,0.00021941189,0.008400536,0.0011879362,0.000021628282,0.000071603,0.000039119266,0.000025790083,0.013496192],"genre_scores_gemma":[0.9988061,0.00004190883,0.00032453038,0.00006961952,0.0000075438957,0.000010535964,0.000007442281,0.0000015688311,0.0007307786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99707747,0.0015471848,0.00008357136,0.00032074636,0.0003127956,0.00065816886],"domain_scores_gemma":[0.9813209,0.010009724,0.0064887325,0.00074287766,0.00068604155,0.00075169286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036287245,0.00031205305,0.00043767618,0.0006367196,0.0006111451,0.0017565222,0.0006869235,0.0018896663,0.0067656483],"category_scores_gemma":[0.013543574,0.00025909403,0.00037826394,0.00036622194,0.0016374837,0.0013058318,0.001029334,0.0014436528,0.00028424815],"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":[0.0032245687,0.005223361,0.3654841,0.00029890437,0.00053543143,0.0015173234,0.0017680574,0.3806805,0.016576106,0.13437235,0.0030796325,0.08723965],"study_design_scores_gemma":[0.00034661722,0.0042040395,0.47540465,0.000097214026,0.00021883902,0.00047490132,0.0051758257,0.43935645,0.0026829753,0.06753171,0.0043566744,0.00015021907],"about_ca_topic_score_codex":0.0062410133,"about_ca_topic_score_gemma":0.0061558443,"teacher_disagreement_score":0.0067656483,"about_ca_system_score_codex":0.0029106059,"about_ca_system_score_gemma":0.000861089,"threshold_uncertainty_score":0.022633314},"labels":[],"label_agreement":null},{"id":"W2095692684","doi":"10.1017/s1074070800028042","title":"An Evaluation of Canadian and U.S. Policies of Log and Lumber Markets","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forest Management and Policy","field":"Environmental Science","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":"Stumpage; Subsidy; Trade war; Agricultural economics; Duty; Economics; International trade; Business; Market economy; Political science; China","score_opus":0.015195193295515996,"score_gpt":0.20013469484611923,"score_spread":0.18493950155060324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095692684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8204565,0.0014260705,0.000646685,0.003640135,0.00004900005,0.00010719419,0.0014574954,0.000036201247,0.17218064],"genre_scores_gemma":[0.9940241,0.0006257997,0.00044450455,0.00031750454,0.000009912611,0.000016773802,0.00039358204,0.000005632678,0.0041620433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958188,0.0006094744,0.000075012715,0.0002286728,0.002169494,0.0010986002],"domain_scores_gemma":[0.9931773,0.002114959,0.0008098673,0.00020529571,0.0030862966,0.0006061974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033603755,0.00027198548,0.00027623322,0.001526795,0.0029068566,0.002675612,0.0010158239,0.00073882693,0.0036287298],"category_scores_gemma":[0.013370167,0.00016987322,0.0005489434,0.0021560828,0.001493704,0.001041838,0.0008349852,0.0007589607,0.000120651704],"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":[0.0019501824,0.0010356689,0.41545492,0.0004937487,0.000276184,0.0005946841,0.0026860232,0.055292353,0.0029245163,0.3346994,0.035548314,0.14904404],"study_design_scores_gemma":[0.00025358194,0.00073446584,0.8473754,0.00020415873,0.00034798056,0.00013935234,0.011042528,0.02986423,0.004347066,0.008038626,0.09751816,0.00013438192],"about_ca_topic_score_codex":0.9712702,"about_ca_topic_score_gemma":0.9826816,"teacher_disagreement_score":0.9473276,"about_ca_system_score_codex":0.052672368,"about_ca_system_score_gemma":0.06575712,"threshold_uncertainty_score":0.38216656},"labels":[],"label_agreement":null},{"id":"W2097368607","doi":"10.1017/s1074070800009111","title":"Effects of Ownership Restrictions on Farmland Values in Saskatchewan","year":2002,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":12,"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":"Heteroscedasticity; Land Values; Value (mathematics); Autoregressive model; Economics; Econometrics; Agricultural economics; Land use; Statistics; Mathematics; Ecology","score_opus":0.013814776009911644,"score_gpt":0.1795918179102297,"score_spread":0.16577704190031806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097368607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923463,0.00015105358,0.00012347827,0.00046805447,0.000008214384,0.000019665633,0.00088992534,0.000014751315,0.0059785717],"genre_scores_gemma":[0.99523854,0.00023980658,0.00012224956,0.00017280034,0.0000028679474,0.000021761887,0.0006630194,0.0000077393315,0.0035312693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983683,0.00057224964,0.00008826749,0.00017130055,0.00033788776,0.00046191376],"domain_scores_gemma":[0.99339795,0.0025083397,0.0013896866,0.0005477291,0.0012370914,0.00091919844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185924,0.00031326144,0.00043975658,0.0007392957,0.0010510845,0.0017903935,0.0010703385,0.00034282365,0.0052117035],"category_scores_gemma":[0.004808468,0.00026741778,0.0005042213,0.0017417306,0.0014510087,0.0004405101,0.001266813,0.0008060299,0.00041336968],"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":[0.001162718,0.00045200114,0.91971254,0.00008788092,0.0006381378,0.0014690313,0.0013303069,0.016551163,0.005871526,0.0064228475,0.0063975602,0.03990416],"study_design_scores_gemma":[0.0000463061,0.00012962097,0.9880163,0.000043092892,0.00011058356,0.00007751597,0.00225064,0.0040414194,0.00084248016,0.001037391,0.003358955,0.000045668476],"about_ca_topic_score_codex":0.92597055,"about_ca_topic_score_gemma":0.97214544,"teacher_disagreement_score":0.074029446,"about_ca_system_score_codex":0.021399127,"about_ca_system_score_gemma":0.02283712,"threshold_uncertainty_score":0.15526223},"labels":[],"label_agreement":null},{"id":"W2101351994","doi":"10.1017/s1074070800002479","title":"Land Preservation in British Columbia: An Empirical Analysis of the Factors Underlying Public Support and Willingness to Pay","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Willingness to pay; Agriculture; Agricultural economics; Natural resource economics; Agricultural land; Business; Willingness to accept; Land use; Empirical research; Nature reserve; Economics; Environmental resource management; Geography; Ecology","score_opus":0.11821953284510389,"score_gpt":0.22306364986158975,"score_spread":0.10484411701648585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101351994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957563,0.00022473399,0.000034914316,0.0005621112,0.000004915968,0.000014584867,0.0006653547,0.000004270586,0.0027328485],"genre_scores_gemma":[0.9963999,0.00024049316,0.00004419642,0.000101574675,0.000004320933,0.0000138548885,0.000747985,0.00000386873,0.0024438943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917066,0.00011843883,0.00004551047,0.0000819072,0.00022154355,0.00036201725],"domain_scores_gemma":[0.9898028,0.0027304837,0.0018866265,0.0004104813,0.0025179414,0.0026516991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007644984,0.00027634914,0.0004967078,0.0012889587,0.0025147412,0.0018331716,0.0015319699,0.00088380644,0.0075959093],"category_scores_gemma":[0.0075952196,0.00031139742,0.00030510593,0.0037791242,0.0011261463,0.0005888113,0.0009353613,0.001690322,0.00081643264],"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":[0.00017089534,0.00027485992,0.9815765,0.00003067973,0.000065722925,0.00038374198,0.00219583,0.0005084012,0.00014104697,0.00042089375,0.004720642,0.00951068],"study_design_scores_gemma":[0.000013674667,0.000024296682,0.98917377,0.000044443077,0.000021471806,0.00005201237,0.0077249715,0.0010877025,0.000034503217,0.00009327123,0.0017150681,0.000014830169],"about_ca_topic_score_codex":0.98007375,"about_ca_topic_score_gemma":0.98790234,"teacher_disagreement_score":0.01992625,"about_ca_system_score_codex":0.018134532,"about_ca_system_score_gemma":0.012649064,"threshold_uncertainty_score":0.13157588},"labels":[],"label_agreement":null},{"id":"W2104329116","doi":"10.1017/s1074070800003941","title":"Are Consumers Willing to Pay More for Biodegradable Containers Than for Plastic Ones? Evidence from Hypothetical Conjoint Analysis and Nonhypothetical Experimental Auctions","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vineland Research and Innovation Centre","funders":"","keywords":"Conjoint analysis; Willingness to pay; Probit model; Common value auction; Ordered probit; Probit; Price premium; Economics; Business; Marketing; Microeconomics; Econometrics; Preference","score_opus":0.061158233294131836,"score_gpt":0.22601662041905055,"score_spread":0.1648583871249187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104329116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954847,0.00014922729,0.0013440843,0.00030609616,0.00000921308,0.000053926276,0.000041539068,0.0000034310576,0.0026077516],"genre_scores_gemma":[0.99869055,0.000097398275,0.00079171214,0.00013995517,0.000010507883,0.000041993997,0.00004427699,0.0000016551106,0.00018201947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9890843,0.008530688,0.0004421444,0.00061650644,0.001073633,0.00025272233],"domain_scores_gemma":[0.74250406,0.22348626,0.021369165,0.007983388,0.0038205886,0.00083657255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012394222,0.00052068103,0.0005488623,0.00055282185,0.0006320884,0.0016858621,0.0009090923,0.0020912248,0.007054654],"category_scores_gemma":[0.08397783,0.00041921547,0.0008155587,0.00066885725,0.0020715916,0.0022959535,0.0007575661,0.0013087541,0.0006318396],"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":[0.06021335,0.02917639,0.6015053,0.002863508,0.0023207557,0.0020552543,0.012665224,0.010815509,0.021917623,0.03366971,0.0031673433,0.21963003],"study_design_scores_gemma":[0.004519705,0.023968386,0.7972769,0.00050491473,0.0014144696,0.0029074461,0.023814267,0.061986282,0.017616106,0.05851508,0.006859244,0.000617163],"about_ca_topic_score_codex":0.001248113,"about_ca_topic_score_gemma":0.0007219005,"teacher_disagreement_score":0.012394222,"about_ca_system_score_codex":0.00062630133,"about_ca_system_score_gemma":0.00036463505,"threshold_uncertainty_score":0.065547705},"labels":[],"label_agreement":null},{"id":"W2105363443","doi":"10.1017/s1074070800026894","title":"Predicting Pork Supplies: An Application of Multiple Forecast Encompassing","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forecasting Techniques and Applications","field":"Decision 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":"Univariate; Quarter (Canadian coin); Competitor analysis; Econometrics; Production (economics); Forecast error; Horizon; Statistics; Service (business); Economics; Operations research; Operations management; Computer science; Mathematics; Marketing; Business; Microeconomics; Geography; Multivariate statistics","score_opus":0.04839483524803331,"score_gpt":0.28837141631345126,"score_spread":0.23997658106541794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105363443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72073287,0.0002980945,0.27644667,0.0002134585,0.00003109076,0.00007715627,0.00014614176,0.00022003517,0.0018344503],"genre_scores_gemma":[0.9766019,0.000114737464,0.02270612,0.000014721297,0.00002906484,0.000021609312,0.00018521724,0.000017995708,0.00030861844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996838,0.0017033664,0.0002213856,0.00054789515,0.00053572893,0.00015372314],"domain_scores_gemma":[0.9589441,0.036071297,0.0020153301,0.0015005671,0.0011748369,0.00029383923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008779686,0.0007563662,0.0013999629,0.0014245496,0.0004584383,0.0012335065,0.00073177397,0.00065340695,0.0009016418],"category_scores_gemma":[0.04887338,0.00039092367,0.00097150163,0.0014408132,0.00064931565,0.002297326,0.0012898729,0.0010404057,0.00010192789],"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":[0.00092827034,0.00019102434,0.083469704,0.000083234016,0.00051213824,0.0002639795,0.00034673864,0.75155467,0.0016087912,0.010428855,0.0003732984,0.15023929],"study_design_scores_gemma":[0.000015449761,0.0002065675,0.013008447,0.000008957996,0.0000629761,0.00004979383,0.000048413873,0.9808941,0.0008063509,0.004679079,0.00019337902,0.000026486294],"about_ca_topic_score_codex":0.004137055,"about_ca_topic_score_gemma":0.002620632,"teacher_disagreement_score":0.008779686,"about_ca_system_score_codex":0.0006782661,"about_ca_system_score_gemma":0.0007476545,"threshold_uncertainty_score":0.04643202},"labels":[],"label_agreement":null},{"id":"W2119724346","doi":"10.1017/s1074070800003114","title":"Factors Influencing Wheat Yield and Variability: Evidence from Manitoba, Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":84,"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":"Yield (engineering); Cultivar; Agronomy; Fertilizer; Winter wheat; Environmental science; Precipitation; Nitrogen fertilizer; Biodiversity; Diversity (politics); Biology; Geography; Ecology","score_opus":0.02262994577816291,"score_gpt":0.17746797294518712,"score_spread":0.15483802716702422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119724346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981485,0.0044827103,0.0006214381,0.0011461689,0.000022849461,0.00003818166,0.0042851716,0.000036509748,0.0078819115],"genre_scores_gemma":[0.9941223,0.0021440105,0.000512059,0.00014607674,0.0000060385714,0.000012659484,0.0016808001,0.000018313662,0.0013576917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992829,0.00009509159,0.000036855563,0.00015733491,0.0002315951,0.00019635438],"domain_scores_gemma":[0.9971301,0.0003849673,0.00036064556,0.00016812155,0.0015275115,0.0004286235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011065218,0.00047675872,0.0004131607,0.0012688949,0.0022635574,0.0012929492,0.0012030138,0.0002664263,0.0018787517],"category_scores_gemma":[0.0027183804,0.00034939463,0.0005997505,0.0045690103,0.0012619448,0.0003059772,0.00078007,0.00054668536,0.00017492437],"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":[0.00010230402,0.000028670713,0.97948384,0.00007013706,0.00025690446,0.0001423536,0.0010641858,0.0005251485,0.00047571206,0.000585948,0.0020160254,0.015248664],"study_design_scores_gemma":[0.000007742509,0.000009059355,0.99706596,0.000037423717,0.00007447941,0.000027663418,0.00063269224,0.00036516288,0.00006201688,0.00007238812,0.0016330916,0.000012219818],"about_ca_topic_score_codex":0.9978756,"about_ca_topic_score_gemma":0.999164,"teacher_disagreement_score":0.024624081,"about_ca_system_score_codex":0.024624081,"about_ca_system_score_gemma":0.029770877,"threshold_uncertainty_score":0.17866105},"labels":[],"label_agreement":null},{"id":"W2121543771","doi":"10.1017/s1074070800002662","title":"Effects of Price and Quality Differences in Source Differentiated Beef on Market Demand","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":"Cooperative State Research, Education, and Extension Service; U.S. Department of Agriculture","keywords":"Hanwoo; Price elasticity of demand; Quality (philosophy); Order (exchange); Economics; Welfare; Consumer demand; Agricultural economics; Business; Beef cattle; Preference; Microeconomics; Food science; Animal science; Market economy; Chemistry","score_opus":0.011737435873716853,"score_gpt":0.18038940849559518,"score_spread":0.1686519726218783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121543771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854076,0.000015201079,0.00087494194,0.000019944335,0.0000014155612,0.000008968337,0.00011676148,0.0000045871443,0.00041741662],"genre_scores_gemma":[0.9992986,0.000010962795,0.00027912544,0.000007650186,9.133812e-7,0.000005463005,0.00016131434,0.0000032534906,0.00023280895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916613,0.00034836223,0.00006166352,0.00018496932,0.00012524224,0.00011372505],"domain_scores_gemma":[0.9953251,0.002924127,0.0008089122,0.00045665723,0.00034263358,0.00014242055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015675036,0.00036052318,0.0002376167,0.0004448905,0.00018418823,0.0007402397,0.00032350217,0.00042602874,0.0029826122],"category_scores_gemma":[0.0061785737,0.00035129357,0.00090215734,0.0007335914,0.00042166392,0.00076458266,0.0006282383,0.0006802778,0.00028518657],"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":[0.002980596,0.00084108056,0.862655,0.0001341522,0.00078259804,0.0005690881,0.0005075149,0.078939244,0.031022904,0.0023463203,0.0002193916,0.019002208],"study_design_scores_gemma":[0.000040068146,0.00039755407,0.94464946,0.0000058040655,0.00016791216,0.00008040265,0.00046156303,0.046993226,0.005771844,0.0009454068,0.00045579363,0.000030816682],"about_ca_topic_score_codex":0.0076200957,"about_ca_topic_score_gemma":0.006443323,"teacher_disagreement_score":0.0076200957,"about_ca_system_score_codex":0.0009162937,"about_ca_system_score_gemma":0.00025464757,"threshold_uncertainty_score":0.015151501},"labels":[],"label_agreement":null},{"id":"W2123909899","doi":"10.1017/s107407080000314x","title":"Best Management Practices to Enhance Water Quality: Who is Adopting Them?","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"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; University of Lethbridge","funders":"","keywords":"Riparian buffer; Riparian zone; Agricultural science; Buffer strip; Business; Quality (philosophy); Manure management; Manure; Agricultural engineering; Club; Production (economics); Residence; Agricultural economics; Environmental science; Water quality; Agronomy; Economics; Engineering; Ecology; Biology; Demographic economics","score_opus":0.08045208084254525,"score_gpt":0.24936895742508391,"score_spread":0.16891687658253868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123909899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.846893,0.011582665,0.005624383,0.109733805,0.00032485285,0.00010221441,0.00028210034,0.000063739935,0.025393222],"genre_scores_gemma":[0.98701143,0.005136516,0.003981464,0.0028548723,0.00012545884,0.000026371443,0.00004798318,0.000009955558,0.0008060196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99605274,0.0018713159,0.00024009525,0.00030740266,0.0010527774,0.00047572513],"domain_scores_gemma":[0.97714764,0.007666826,0.008659541,0.00094903354,0.0029301106,0.0026469335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063227983,0.00014661178,0.00034674763,0.00057728094,0.0005161778,0.0022410366,0.00050675403,0.0011800898,0.0016693718],"category_scores_gemma":[0.029884204,0.00020191734,0.00026849975,0.00093224685,0.0010757544,0.0017735156,0.00074155256,0.0010892028,0.00023542476],"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":[0.000101749836,0.0010512084,0.52039963,0.00046667067,0.00022280402,0.00023442815,0.003394525,0.00079603057,0.0012629583,0.003611901,0.006732127,0.461726],"study_design_scores_gemma":[0.00007719139,0.00051257684,0.91955394,0.0016943251,0.00026668631,0.00040836268,0.017398786,0.0025768182,0.0018739084,0.014987979,0.040554762,0.00009456326],"about_ca_topic_score_codex":0.008598117,"about_ca_topic_score_gemma":0.01838159,"teacher_disagreement_score":0.008598117,"about_ca_system_score_codex":0.0011799796,"about_ca_system_score_gemma":0.0030894936,"threshold_uncertainty_score":0.033438563},"labels":[],"label_agreement":null},{"id":"W2128666375","doi":"10.1017/s1074070800003862","title":"Analysis of Import Demand for Wooden Beds in the U.S.","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Almost ideal demand system; Trade diversion; Economics; International trade; Developing country; Great Depression; Business; International economics; Trade barrier; International free trade agreement; Production (economics); Economic growth; Geography; Macroeconomics","score_opus":0.01068204226615212,"score_gpt":0.18835604482829915,"score_spread":0.17767400256214702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128666375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703336,0.00008989791,0.00011772865,0.0001240823,0.0000029045536,0.0000034099976,0.0012010401,0.000012952702,0.0014146233],"genre_scores_gemma":[0.99627894,0.000109998815,0.00015931697,0.000032245385,0.0000026265297,0.0000039969136,0.002651907,0.0000034847606,0.0007574932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988246,0.000026828491,0.000009247818,0.00002239126,0.000026978765,0.000032107695],"domain_scores_gemma":[0.9993974,0.00028754832,0.000107249834,0.000029564671,0.0001215702,0.00005677356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002836945,0.00026953567,0.00034330002,0.0009019966,0.0003230713,0.0007196557,0.000289216,0.0003889904,0.0038533204],"category_scores_gemma":[0.0009589353,0.00029014758,0.00051273784,0.0019307358,0.0003147361,0.000444406,0.0003197055,0.00044278265,0.00042841936],"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":[0.0013813035,0.000606787,0.781555,0.00018354887,0.00029669472,0.0017085199,0.00062285794,0.17555101,0.0032244136,0.0064897314,0.00914876,0.019231332],"study_design_scores_gemma":[0.00011111187,0.00050595735,0.72090715,0.00005695289,0.00012383136,0.00037206968,0.0033525852,0.26619118,0.0013801436,0.0026083514,0.0043277545,0.000062917614],"about_ca_topic_score_codex":0.100289084,"about_ca_topic_score_gemma":0.10727788,"teacher_disagreement_score":0.100289084,"about_ca_system_score_codex":0.0019043158,"about_ca_system_score_gemma":0.0007973322,"threshold_uncertainty_score":0.19941068},"labels":[],"label_agreement":null},{"id":"W2165693736","doi":"10.1017/s107407080000331x","title":"Optimal Grazing Termination Date for Dual-Purpose Winter Wheat Production","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grazing; Acre; Forage; Winter wheat; Production (economics); Agronomy; Dual purpose; Marginal value; Environmental science; Biology; Economics; Engineering","score_opus":0.013440524553928744,"score_gpt":0.2090749838729338,"score_spread":0.19563445931900506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165693736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963426,0.00016932782,0.0027806328,0.000027949363,0.000004956491,0.0000116319425,0.000046681733,0.000012020974,0.0006042209],"genre_scores_gemma":[0.9963691,0.000056002795,0.0033042913,0.000009025437,0.0000022809807,0.0000063636353,0.00010203279,0.000004776827,0.00014616596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979824,0.00007319354,0.000013183969,0.000040092218,0.00003876887,0.000036486348],"domain_scores_gemma":[0.9991061,0.00031821118,0.0003047666,0.000032990403,0.00006940763,0.00016842516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079243374,0.00015923301,0.0003839925,0.00029378344,0.0001979636,0.0005078268,0.00020525313,0.00024280975,0.0008417147],"category_scores_gemma":[0.0015380504,0.00010515045,0.00018254197,0.00014435206,0.00014407551,0.0003150417,0.00024809712,0.00030933917,0.00011532178],"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":[0.012740753,0.001498041,0.48312145,0.0003426234,0.00017085021,0.0008660019,0.0003916683,0.079394154,0.30986246,0.0023011367,0.001228813,0.108082026],"study_design_scores_gemma":[0.00021322626,0.0066195833,0.8182812,0.000095036754,0.00015494575,0.0007096793,0.00058623805,0.13625938,0.032361034,0.0026040655,0.0020572622,0.000058427613],"about_ca_topic_score_codex":0.0011483978,"about_ca_topic_score_gemma":0.003287297,"teacher_disagreement_score":0.0011483978,"about_ca_system_score_codex":0.00055771606,"about_ca_system_score_gemma":0.00046453378,"threshold_uncertainty_score":0.0041908026},"labels":[],"label_agreement":null},{"id":"W2170266511","doi":"10.1017/s1074070800022124","title":"Is There an End to U.S.–Canadian Softwood Lumber Disputes?","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","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":"Tariff; Subsidy; Economics; International economics; International trade; Commercial policy; Business; Market economy","score_opus":0.026971912531611183,"score_gpt":0.17116486786935362,"score_spread":0.14419295533774243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170266511","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":[0.23169225,0.0031145879,0.01228368,0.07406916,0.0003436793,0.000055219392,0.0007628154,0.0000923052,0.6775864],"genre_scores_gemma":[0.9706971,0.0011902936,0.002132462,0.0038498903,0.000062882864,0.000016635073,0.00019715968,0.000019852125,0.02183382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983529,0.00015310198,0.000033963224,0.00020679148,0.0004973462,0.0007559827],"domain_scores_gemma":[0.99817324,0.00043510308,0.00028946463,0.00012568897,0.00068789755,0.0002885402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015706546,0.00025176175,0.0004797072,0.00076056225,0.0077826353,0.0067137675,0.0016780635,0.0044909786,0.011942156],"category_scores_gemma":[0.0059942435,0.00019985238,0.00085015973,0.0013156433,0.0033868738,0.0034602452,0.0017530074,0.0026271297,0.00053650956],"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":[0.00008026505,0.00005824484,0.008121258,0.00005766666,0.000025596575,0.00059491344,0.0014912413,0.008644308,0.00027755887,0.9386138,0.018548567,0.023486543],"study_design_scores_gemma":[0.0001352003,0.00006025497,0.018406823,0.00034238424,0.00014863681,0.00084180065,0.014130758,0.047604963,0.0012349135,0.6180985,0.2988056,0.00019011083],"about_ca_topic_score_codex":0.909853,"about_ca_topic_score_gemma":0.8978912,"teacher_disagreement_score":0.09014702,"about_ca_system_score_codex":0.025379164,"about_ca_system_score_gemma":0.024553932,"threshold_uncertainty_score":0.18413961},"labels":[],"label_agreement":null},{"id":"W2410206648","doi":"10.1017/aae.2015.14","title":"CROSS HEDGING WINTER CANOLA","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Market Dynamics and Volatility","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":"National Agricultural Statistics Service; National Institute of Food and Agriculture; Oklahoma Agricultural Experiment Station; U.S. Department of Agriculture","keywords":"Canola; Futures contract; Hedge; Economics; Agribusiness; Futures market; Soybean meal; Financial economics; Agronomy; Business; Agricultural economics; Agricultural science; Environmental science; Biology; Agriculture; Botany","score_opus":0.02314962529267546,"score_gpt":0.2074516710732778,"score_spread":0.18430204578060233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410206648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936156,0.00026126305,0.0016163331,0.000044478697,0.000016210892,0.000013422138,0.00020585264,0.00004866787,0.004178186],"genre_scores_gemma":[0.99791414,0.000051177605,0.00080764806,0.00001435905,0.000004906927,0.0000021508142,0.00018927184,0.0000057161033,0.0010107368],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999681,0.000039160757,0.000015427899,0.00006437273,0.0001641932,0.00003591811],"domain_scores_gemma":[0.9993667,0.00020536494,0.000083222585,0.00007296392,0.00021806324,0.00005370713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010144458,0.00034861837,0.00031302948,0.0008026119,0.0002198542,0.0008528206,0.00039103845,0.000260775,0.0027210747],"category_scores_gemma":[0.0018265959,0.00008691604,0.00024604582,0.00049653504,0.00012213242,0.0006788724,0.00050041336,0.00026121424,0.00022302306],"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":[0.0037149878,0.0010040081,0.30975556,0.00025305993,0.00096383307,0.0008700002,0.00029429636,0.28702462,0.06339201,0.0077299234,0.004480734,0.32051694],"study_design_scores_gemma":[0.00015643077,0.0022473978,0.35945094,0.000049772538,0.00043411204,0.00047412943,0.00053533446,0.5700234,0.05035442,0.0063343327,0.0098414915,0.000098207754],"about_ca_topic_score_codex":0.008362641,"about_ca_topic_score_gemma":0.014832408,"teacher_disagreement_score":0.008362641,"about_ca_system_score_codex":0.00079775933,"about_ca_system_score_gemma":0.000293951,"threshold_uncertainty_score":0.016627967},"labels":[],"label_agreement":null},{"id":"W2552349114","doi":"10.1017/aae.2016.26","title":"WELFARE ANALYSIS OF THE U.S.-MEXICAN TOMATO SUSPENSION AGREEMENT","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":"Welfare; Consumption (sociology); Economics; Free trade agreement; Suspension (topology); Trade agreement; International economics; Agricultural economics; International trade; Free trade; Market economy; Mathematics; Sociology","score_opus":0.009822811116604761,"score_gpt":0.16689741997868296,"score_spread":0.1570746088620782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552349114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579188,0.00036048208,0.0072351987,0.0030477233,0.000028468137,0.000063391526,0.0013421337,0.000058150366,0.02994574],"genre_scores_gemma":[0.9959455,0.00014965546,0.00067825365,0.00010819506,0.000009439375,0.00003129085,0.00028656554,0.0000063462844,0.0027846762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99936396,0.0002963749,0.000010836674,0.00006724144,0.00005201618,0.00020955065],"domain_scores_gemma":[0.9988937,0.00049552124,0.00022529763,0.00005850269,0.00021721155,0.00010980454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014594127,0.00028896547,0.000618243,0.0005144226,0.0010186044,0.001680285,0.0006484684,0.0007850635,0.0066354717],"category_scores_gemma":[0.002526578,0.0002347371,0.0009381165,0.00071079296,0.00083735323,0.00092309923,0.00090002205,0.0010662712,0.00017141899],"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":[0.00095771515,0.0005283712,0.0506505,0.00009322819,0.00024149935,0.0005412015,0.00034315584,0.7138096,0.0012597996,0.20961727,0.010545402,0.011412204],"study_design_scores_gemma":[0.00037584442,0.0004474659,0.051040128,0.00007979046,0.00035782988,0.00008154673,0.0020561113,0.88698834,0.0009341051,0.046429813,0.011140385,0.00006859043],"about_ca_topic_score_codex":0.278912,"about_ca_topic_score_gemma":0.15052018,"teacher_disagreement_score":0.278912,"about_ca_system_score_codex":0.008106369,"about_ca_system_score_gemma":0.0032661296,"threshold_uncertainty_score":0.5545771},"labels":[],"label_agreement":null},{"id":"W2760089111","doi":"10.1017/aae.2017.16","title":"BANKERS’ FORECASTS OF FARMLAND VALUES: A QUALITATIVE AND QUANTITATIVE EVALUATION","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Land Values; Quarter (Canadian coin); Economics; Qualitative analysis; Agriculture; Econometrics; Agricultural economics; Actuarial science; Qualitative research; Finance; Land use; Geography; Ecology","score_opus":0.06641368695957531,"score_gpt":0.3037192914983957,"score_spread":0.2373056045388204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760089111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974714,0.00013459455,0.005546588,0.00064580585,0.000026332773,0.00062498066,0.0023513911,0.000028154467,0.01592815],"genre_scores_gemma":[0.9950405,0.000084471576,0.0029256335,0.00006889341,0.00001147999,0.00038743785,0.0005956746,0.0000065866407,0.00087934226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97583413,0.013885563,0.0014447205,0.00065947144,0.0076463628,0.0005297513],"domain_scores_gemma":[0.8058336,0.14367089,0.0111096995,0.003530667,0.03462543,0.0012298013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039606694,0.0003066185,0.00042006175,0.00375931,0.00073390076,0.0021650656,0.0005632366,0.00065794017,0.0045299777],"category_scores_gemma":[0.12353371,0.00020008918,0.0003925543,0.0027605928,0.0018325277,0.002730537,0.0014192666,0.00075368065,0.0005149615],"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":[0.0032630872,0.0016823258,0.6854539,0.0012893145,0.00034565313,0.0005549177,0.09953665,0.031514533,0.0029005466,0.014623787,0.010888078,0.14794718],"study_design_scores_gemma":[0.0004280663,0.004331907,0.6140791,0.0014885634,0.00030426873,0.00024465425,0.25391054,0.07045355,0.009801101,0.017105827,0.027431987,0.00042033676],"about_ca_topic_score_codex":0.007662952,"about_ca_topic_score_gemma":0.0077554523,"teacher_disagreement_score":0.039606694,"about_ca_system_score_codex":0.0037817515,"about_ca_system_score_gemma":0.0019010287,"threshold_uncertainty_score":0.2094627},"labels":[],"label_agreement":null},{"id":"W2782777865","doi":"10.1017/aae.2019.41","title":"Greenhouse Gas Emissions and Technical Efficiency in Alberta Dairy Production: What Are the Trade-Offs?","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":18,"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":"Alberta Livestock and Meat Agency; Canadian Dairy Commission; Alberta Agriculture and Forestry","keywords":"Greenhouse gas; Production (economics); Tonne; Agricultural economics; Revenue; Natural resource economics; Environmental science; Economics; Environmental economics; Agricultural science; Business; Waste management; Engineering; Microeconomics","score_opus":0.004948298023219328,"score_gpt":0.1788805399036104,"score_spread":0.17393224188039108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782777865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97121465,0.003907684,0.0015753193,0.0033516008,0.000024003048,0.000023035214,0.00080000743,0.000019111254,0.019084644],"genre_scores_gemma":[0.9975157,0.0004100964,0.00032732455,0.00008294542,0.000011693995,0.0000025043332,0.00020067673,0.0000040596115,0.0014451935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823654,0.00035595437,0.00005052798,0.00016050195,0.0008352282,0.00036110426],"domain_scores_gemma":[0.99664694,0.001157249,0.0007357206,0.00012810701,0.0010654837,0.00026650546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023363272,0.0003880171,0.0002824711,0.0011752604,0.00041545217,0.0027826778,0.0005857786,0.00054912764,0.0016837511],"category_scores_gemma":[0.0041886317,0.00016662244,0.0005025601,0.002047288,0.0013188651,0.0012617175,0.00065586664,0.0005666253,0.0001241691],"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":[0.00029868577,0.00011000628,0.93085796,0.000119606026,0.0004133957,0.00026879477,0.00028484655,0.030440057,0.002021326,0.007888456,0.0014165684,0.025880178],"study_design_scores_gemma":[0.000006745892,0.00005581567,0.98414284,0.000050047496,0.000093329356,0.000035943398,0.0011236523,0.008014957,0.0010526303,0.0029069905,0.0024923682,0.000024732695],"about_ca_topic_score_codex":0.52597463,"about_ca_topic_score_gemma":0.6874888,"teacher_disagreement_score":0.47402537,"about_ca_system_score_codex":0.012225096,"about_ca_system_score_gemma":0.0053546242,"threshold_uncertainty_score":0.953634},"labels":[],"label_agreement":null},{"id":"W2972345233","doi":"10.1017/aae.2019.31","title":"Impacts of U.S., Mexican, and Canadian Trade Agreement on Commodity and Labor Markets","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":"","keywords":"Commodity; Economics; Incentive; Consumption (sociology); International economics; Production (economics); Free trade agreement; Trade agreement; International trade; Bilateral trade; Free trade; Market economy; Macroeconomics; Political science","score_opus":0.01718156723879096,"score_gpt":0.17082161338258978,"score_spread":0.1536400461437988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972345233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8740389,0.0011525846,0.00036026206,0.00681709,0.000089738256,0.00009277645,0.003058448,0.00004473533,0.1143455],"genre_scores_gemma":[0.99396694,0.00038305047,0.00016489264,0.0006594014,0.0000137284715,0.000020091293,0.00054523844,0.0000059095787,0.004240815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971493,0.00038297754,0.00006663472,0.00020296186,0.0009117771,0.0012863803],"domain_scores_gemma":[0.9947167,0.0012945371,0.00090610876,0.00017887044,0.0022137396,0.0006900975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028008297,0.00032383233,0.0004630951,0.0012701941,0.003843376,0.004514434,0.00077161746,0.0011788264,0.0072288816],"category_scores_gemma":[0.008452574,0.00013515518,0.0006057742,0.0019918564,0.0017755581,0.0008288709,0.0013967535,0.0013822372,0.00026100734],"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":[0.0019310327,0.0007819471,0.66793585,0.00034543086,0.0004545286,0.0015400162,0.0031901721,0.049243934,0.0029923185,0.17403191,0.046617083,0.050935846],"study_design_scores_gemma":[0.0003272325,0.0004423999,0.81697667,0.0003566403,0.00070509734,0.00023261379,0.03432002,0.028082216,0.0037680492,0.014329336,0.10019426,0.00026544486],"about_ca_topic_score_codex":0.96562374,"about_ca_topic_score_gemma":0.9673976,"teacher_disagreement_score":0.038195375,"about_ca_system_score_codex":0.038195375,"about_ca_system_score_gemma":0.03476432,"threshold_uncertainty_score":0.2771281},"labels":[],"label_agreement":null},{"id":"W2996369385","doi":"10.1017/aae.2019.40","title":"When Less Is More: On the Use of Historical Yield Data with Application to Rating Area Crop Insurance Contracts","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Crop insurance; Cornerstone; Yield (engineering); Trimming; Sample (material); Economics; Actuarial science; Econometrics; Agricultural economics; Computer science; Geography; Agriculture","score_opus":0.04734678031551391,"score_gpt":0.20000186011346013,"score_spread":0.15265507979794624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996369385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94762033,0.0007341699,0.034237925,0.006350104,0.00013420163,0.00028141207,0.00048511827,0.0001417403,0.010015017],"genre_scores_gemma":[0.98753464,0.0001399275,0.011090846,0.00026733603,0.00003951869,0.000030714,0.00011296361,0.000018212408,0.00076575927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98600113,0.01113065,0.00046060322,0.0010420439,0.0010805298,0.00028498145],"domain_scores_gemma":[0.71970546,0.2579387,0.009146039,0.006503435,0.005276199,0.0014302086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.037553754,0.00048343206,0.00079862075,0.0011993033,0.00062233134,0.002845455,0.0016094529,0.002072185,0.0043785037],"category_scores_gemma":[0.1804541,0.00028306284,0.00065602234,0.0012018404,0.0015517215,0.0040089567,0.0019761438,0.0020531523,0.0002904055],"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":[0.0039122147,0.0025008605,0.40717825,0.0006259934,0.0007606727,0.0018147359,0.0026551923,0.14086181,0.0020354863,0.06288805,0.012089704,0.3626771],"study_design_scores_gemma":[0.0002251015,0.0015064158,0.12046933,0.00038055168,0.00027355595,0.0002472485,0.0030664674,0.82727504,0.0020520769,0.038901657,0.0054412778,0.00016126817],"about_ca_topic_score_codex":0.019699354,"about_ca_topic_score_gemma":0.020099338,"teacher_disagreement_score":0.037553754,"about_ca_system_score_codex":0.0013544462,"about_ca_system_score_gemma":0.0012665016,"threshold_uncertainty_score":0.1986056},"labels":[],"label_agreement":null},{"id":"W3015113428","doi":"10.1017/aae.2020.5","title":"Comprehensive Broiler Supply Chain Model with Vertical and Horizontal Linkages: Impact of US–China Trade War and USMCA","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":"Tariff; China; Agricultural economics; Supply chain; Trade war; Broiler; Economics; Production (economics); Value (mathematics); Agribusiness; International trade; Business; International economics; Agriculture; Geography; Microeconomics; Animal science; Biology","score_opus":0.025410946278098454,"score_gpt":0.18337745558115806,"score_spread":0.1579665093030596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015113428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86908156,0.0011310839,0.062256113,0.0016819105,0.00011233263,0.00025469335,0.0049960194,0.00040282225,0.060083497],"genre_scores_gemma":[0.9764515,0.00032868603,0.0030068574,0.00008111356,0.000015415115,0.00011649959,0.0009742687,0.000033446264,0.018992282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996214,0.00011319115,0.000013473835,0.000080068894,0.000046165693,0.00012577062],"domain_scores_gemma":[0.99907637,0.00032207265,0.000158321,0.00005338085,0.00025135078,0.00013861027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009965289,0.0010388745,0.0013206336,0.0010324734,0.0008845094,0.0017761599,0.0016300706,0.002088309,0.01153831],"category_scores_gemma":[0.0015985942,0.000791326,0.0013099175,0.0013503644,0.00096190226,0.0019095814,0.0011374777,0.0013563205,0.00087563286],"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":[0.000074956435,0.000027478403,0.0010421319,0.000014399624,0.000017789303,0.00014246292,0.000017257513,0.9929387,0.00015953659,0.004303403,0.00040227166,0.0008596479],"study_design_scores_gemma":[0.000049298338,0.00004773295,0.0007327177,0.0000119817805,0.00002070908,0.000019343139,0.000061303646,0.9962739,0.0000715986,0.0021668372,0.00053204084,0.000012519086],"about_ca_topic_score_codex":0.13200293,"about_ca_topic_score_gemma":0.065391965,"teacher_disagreement_score":0.13200293,"about_ca_system_score_codex":0.0032024363,"about_ca_system_score_gemma":0.0023685712,"threshold_uncertainty_score":0.26246923},"labels":[],"label_agreement":null},{"id":"W3200917920","doi":"","title":"Canadian Wheat Board: Marketing in the New Millenium","year":2002,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Organic Food and Agriculture","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":"Marketing; Business; Agricultural economics; Editorial board; Economics; Computer science; Library science","score_opus":0.008218613621301853,"score_gpt":0.14867524366655,"score_spread":0.14045663004524814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200917920","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":[0.076550856,0.0984548,0.0014129787,0.38435307,0.00820906,0.00026969874,0.007479564,0.0005137352,0.42275622],"genre_scores_gemma":[0.19679147,0.020825455,0.0017093286,0.01265381,0.00096473086,0.00004129553,0.0017679676,0.00010380062,0.7651422],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993352,0.00003831732,0.00001240561,0.00005335513,0.000340853,0.00021990058],"domain_scores_gemma":[0.99835205,0.00013048472,0.00006378212,0.000031915755,0.0007513225,0.00067045446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010644762,0.0003353749,0.00016264567,0.0015198223,0.004341879,0.0043358784,0.0009344113,0.0021466224,0.0369617],"category_scores_gemma":[0.0018514919,0.0002467179,0.00016443644,0.0028427448,0.0011491495,0.0016676744,0.0006788863,0.0013067623,0.0021298532],"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":[0.00009258416,0.000033811906,0.0031898783,0.00010496354,0.000005771498,0.00024855617,0.000749396,0.00020466742,0.00076498213,0.015027866,0.90120226,0.07837525],"study_design_scores_gemma":[0.000009473926,0.000010363924,0.023815162,0.000049225022,0.000006254882,0.000036266258,0.001142461,0.00016569585,0.00021110359,0.00043407074,0.9741028,0.000017277003],"about_ca_topic_score_codex":0.9780945,"about_ca_topic_score_gemma":0.9954333,"teacher_disagreement_score":0.04512907,"about_ca_system_score_codex":0.04512907,"about_ca_system_score_gemma":0.045534395,"threshold_uncertainty_score":0.32743585},"labels":[],"label_agreement":null},{"id":"W4213033855","doi":"10.1017/aae.2022.3","title":"Pricing Rice Quality Attributes and Returns to Quality Upgrading in Sub-Saharan Africa","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":13,"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; Ministry of Water Resources; Government of Canada; World Bank Group","keywords":"Economics; Economic surplus; Quality (philosophy); Agricultural economics; Amylose; Welfare; Business; Econometrics; Food science","score_opus":0.03607850032959297,"score_gpt":0.22096179435636878,"score_spread":0.1848832940267758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213033855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969228,0.000067792964,0.0021941315,0.00009488411,0.0000016776086,0.000008628662,0.000036912425,0.0000058454475,0.00066730665],"genre_scores_gemma":[0.9994381,0.000053796623,0.00030396413,0.000004581255,0.0000013720506,0.0000020865523,0.000017165696,9.631733e-7,0.00017791438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99965894,0.00017990133,0.000008452283,0.000033760578,0.0000404625,0.000078405246],"domain_scores_gemma":[0.9969908,0.0022698424,0.0004388713,0.000078882884,0.000110779736,0.00011078809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014126713,0.00030401998,0.0003944295,0.0005413572,0.000204396,0.0013145279,0.00038489467,0.00053895696,0.0018122413],"category_scores_gemma":[0.008154921,0.000267629,0.00039860216,0.0007659252,0.0006130277,0.0010916496,0.00046052094,0.0006453306,0.000080549165],"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":[0.0015404217,0.00039252237,0.35185012,0.00014674477,0.00049141835,0.0024239284,0.00077797176,0.555207,0.007267626,0.031223899,0.0006415428,0.048036717],"study_design_scores_gemma":[0.00014953013,0.0006378957,0.29233265,0.000031738487,0.00015400154,0.00030217585,0.0014624461,0.6852953,0.0024144012,0.01596637,0.0012038999,0.000049557682],"about_ca_topic_score_codex":0.008760431,"about_ca_topic_score_gemma":0.004653104,"teacher_disagreement_score":0.008760431,"about_ca_system_score_codex":0.000999905,"about_ca_system_score_gemma":0.0003496747,"threshold_uncertainty_score":0.017418861},"labels":[],"label_agreement":null},{"id":"W4241234887","doi":"10.1017/s1074070800002285","title":"AAE volume 40 issue 3 Cover and Front matter","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic Studies","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 British Columbia","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Computer science; Mathematics; Geography; Engineering; Meteorology; Physics; Mechanical engineering; Thermodynamics","score_opus":0.015554079724798399,"score_gpt":0.15951958791870893,"score_spread":0.14396550819391055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241234887","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":[0.0014402767,0.0030979263,0.00069454743,0.0053833607,0.021302639,0.00010221593,0.001750579,0.000935702,0.9652927],"genre_scores_gemma":[0.0027498328,0.0011722638,0.00031937181,0.00097203854,0.0019129791,0.000021130407,0.0006056753,0.00017837243,0.9920683],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944276,0.00003809313,0.000025298654,0.0000884813,0.00033345234,0.000071867864],"domain_scores_gemma":[0.9983866,0.00020005248,0.000045067452,0.00016130906,0.0007768189,0.00043005924],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085199944,0.0007679569,0.00063251983,0.0015054108,0.0012545963,0.004715412,0.00063381915,0.002330364,0.79985565],"category_scores_gemma":[0.0021900982,0.00030109106,0.0006182062,0.00085557654,0.00057065394,0.0015623865,0.0013624823,0.0017811381,0.7239238],"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":[0.000060393588,0.00008654622,0.00030392213,0.00015536761,0.00000779416,0.00010835716,0.000023656808,0.00006363505,0.0009894593,0.0016329552,0.91961557,0.07695236],"study_design_scores_gemma":[0.000006103977,0.000014222303,0.00067891274,0.000072726405,0.0000027808724,0.000115286224,0.000025320169,0.000058571048,0.00026727302,0.00040460454,0.9983504,0.0000037815678],"about_ca_topic_score_codex":0.0014311458,"about_ca_topic_score_gemma":0.0027029212,"teacher_disagreement_score":0.20014435,"about_ca_system_score_codex":0.00079433026,"about_ca_system_score_gemma":0.0013969917,"threshold_uncertainty_score":0.28548163},"labels":[],"label_agreement":null},{"id":"W4246567193","doi":"10.1017/s1074070800023531","title":"An Evaluation of Canadian and U.S. Policies of Log and Lumber Markets","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":"Stumpage; Subsidy; Trade war; Agricultural economics; Economics; Duty; Economy; International trade; Market economy; Political science; China","score_opus":0.015195193295515996,"score_gpt":0.20013469484611923,"score_spread":0.18493950155060324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246567193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8204565,0.0014260705,0.000646685,0.003640135,0.00004900005,0.00010719419,0.0014574954,0.000036201247,0.17218064],"genre_scores_gemma":[0.9940241,0.0006257997,0.00044450455,0.00031750454,0.000009912611,0.000016773802,0.00039358204,0.000005632678,0.0041620433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958188,0.0006094744,0.000075012715,0.0002286728,0.002169494,0.0010986002],"domain_scores_gemma":[0.9931773,0.002114959,0.0008098673,0.00020529571,0.0030862966,0.0006061974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033603755,0.00027198548,0.00027623322,0.001526795,0.0029068566,0.002675612,0.0010158239,0.00073882693,0.0036287298],"category_scores_gemma":[0.013370167,0.00016987322,0.0005489434,0.0021560828,0.001493704,0.001041838,0.0008349852,0.0007589607,0.000120651704],"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":[0.0019501824,0.0010356689,0.41545492,0.0004937487,0.000276184,0.0005946841,0.0026860232,0.055292353,0.0029245163,0.3346994,0.035548314,0.14904404],"study_design_scores_gemma":[0.00025358194,0.00073446584,0.8473754,0.00020415873,0.00034798056,0.00013935234,0.011042528,0.02986423,0.004347066,0.008038626,0.09751816,0.00013438192],"about_ca_topic_score_codex":0.9712702,"about_ca_topic_score_gemma":0.9826816,"teacher_disagreement_score":0.052672368,"about_ca_system_score_codex":0.052672368,"about_ca_system_score_gemma":0.06575712,"threshold_uncertainty_score":0.38216656},"labels":[],"label_agreement":null},{"id":"W4248686255","doi":"10.1017/s1074070800002996","title":"Selected Paper Abstracts Annual Meetings","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic Studies","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 Saskatchewan","funders":"","keywords":"Action (physics); Computer science; Content (measure theory); Operations research; Mathematics","score_opus":0.010352822574661615,"score_gpt":0.16255403191038167,"score_spread":0.15220120933572007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248686255","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":[0.0027379526,0.018403696,0.0021291901,0.024235949,0.115021236,0.00075482344,0.010908649,0.0012734755,0.824535],"genre_scores_gemma":[0.0050513973,0.0062491163,0.00066685217,0.0011603133,0.012949785,0.00017256272,0.0039816676,0.00028326325,0.96948504],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993705,0.0000633121,0.000046050078,0.00010894614,0.00031602118,0.00009510628],"domain_scores_gemma":[0.9976802,0.00013540279,0.00010526993,0.00015895757,0.0012692839,0.0006508933],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010269026,0.0011597847,0.0008412284,0.002261665,0.0013577569,0.0041284063,0.0012609744,0.0020112924,0.62949115],"category_scores_gemma":[0.0024629226,0.00032590993,0.0007263993,0.0019441313,0.0002330174,0.0018917414,0.0017255825,0.0013588372,0.44048035],"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":[0.000051809147,0.000035457957,0.00012010039,0.00013743693,0.0000040725176,0.00004662839,0.000014578044,0.00005907014,0.00024772645,0.0006014439,0.9509935,0.04768819],"study_design_scores_gemma":[0.00001257891,0.000023249757,0.0010968073,0.000120369536,0.0000048745064,0.00003642099,0.00005795908,0.000069603244,0.00009896778,0.0004901188,0.99798346,0.000005552566],"about_ca_topic_score_codex":0.0026902207,"about_ca_topic_score_gemma":0.0048715603,"teacher_disagreement_score":0.37050885,"about_ca_system_score_codex":0.0012534568,"about_ca_system_score_gemma":0.0017502425,"threshold_uncertainty_score":0.5284859},"labels":[],"label_agreement":null},{"id":"W4248748933","doi":"10.1017/aae.2018.11","title":"AAE volume 50 issue 2 Cover and Front matter","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic 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":"University of Saskatchewan","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Agricultural economics; Environmental science; Agricultural engineering; Agricultural science; Computer science; Mathematics; Economics; Engineering; Geography; Physics; Meteorology; Mechanical engineering; Thermodynamics","score_opus":0.012550290540750823,"score_gpt":0.16754988734550627,"score_spread":0.15499959680475545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248748933","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":[0.0012245049,0.0034234868,0.0007547361,0.0057186214,0.023050847,0.000102257036,0.0020526832,0.0011090431,0.96256393],"genre_scores_gemma":[0.0029274279,0.0013492906,0.00036679918,0.0011812253,0.002487533,0.000024611267,0.00076446234,0.00025924086,0.99063945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926,0.00005276884,0.00003594095,0.000117191536,0.00044452073,0.00008949767],"domain_scores_gemma":[0.9979025,0.00026823606,0.00006313355,0.00023201901,0.0009961162,0.00053787144],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000996988,0.00078741676,0.00063814264,0.0018441842,0.0012848477,0.005693296,0.0006852752,0.0024671203,0.81251943],"category_scores_gemma":[0.00271722,0.00033763773,0.00062154327,0.0009892408,0.0006246033,0.0017384803,0.0015722188,0.00196626,0.7390489],"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":[0.00005206769,0.00007474096,0.00029280776,0.00014446636,0.000007380989,0.00010043933,0.000020352487,0.000065903776,0.00087415375,0.0015887514,0.9204807,0.076298356],"study_design_scores_gemma":[0.0000055176847,0.000012421659,0.0006321724,0.00008395916,0.0000025803197,0.00010557706,0.000023463928,0.000055992736,0.00024822788,0.00039266347,0.99843377,0.0000036712859],"about_ca_topic_score_codex":0.00154438,"about_ca_topic_score_gemma":0.003008695,"teacher_disagreement_score":0.18748057,"about_ca_system_score_codex":0.0009521514,"about_ca_system_score_gemma":0.001566424,"threshold_uncertainty_score":0.2674182},"labels":[],"label_agreement":null},{"id":"W4249108718","doi":"10.1017/s1074070800023683","title":"ICE volume 40 issue 2 Cover and Front matter","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic Studies","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 British Columbia","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Environmental science; Computer science; Geography; Meteorology; Mathematics; Engineering; Physics; Mechanical engineering; Thermodynamics","score_opus":0.015356964982543988,"score_gpt":0.16073399368664099,"score_spread":0.145377028704097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249108718","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":[0.0011907411,0.0015830282,0.00029903112,0.0025183454,0.011475591,0.000102207494,0.0027807916,0.00087067886,0.97917956],"genre_scores_gemma":[0.0021058263,0.00087584544,0.00013766374,0.0006028364,0.0015352345,0.000023036524,0.0014149914,0.0002734112,0.99303114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996032,0.000020873618,0.0000141268,0.00007337787,0.0002292465,0.000059093174],"domain_scores_gemma":[0.99898154,0.000119445474,0.00003196473,0.00013545534,0.0004715329,0.00025999898],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005630213,0.0009783403,0.00095297094,0.001837583,0.001332807,0.004990578,0.0007234966,0.0018202533,0.8593614],"category_scores_gemma":[0.0014301798,0.00031526433,0.0007007318,0.0012068835,0.0006060387,0.0016837383,0.0015450352,0.0014498995,0.77750003],"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":[0.000061571096,0.000057167043,0.0002483848,0.00012503553,0.0000057859475,0.00006600167,0.000016460355,0.000056508623,0.0006452066,0.0010997851,0.9548505,0.042767588],"study_design_scores_gemma":[0.000007287544,0.000013876241,0.0008946675,0.000072042865,0.0000022762717,0.000053124677,0.000028709714,0.00006596478,0.00026495624,0.000303293,0.9982905,0.000003357727],"about_ca_topic_score_codex":0.0024520305,"about_ca_topic_score_gemma":0.003917145,"teacher_disagreement_score":0.14063859,"about_ca_system_score_codex":0.0010888039,"about_ca_system_score_gemma":0.0012689735,"threshold_uncertainty_score":0.20060378},"labels":[],"label_agreement":null},{"id":"W4303980205","doi":"10.1017/aae.2022.32","title":"Benefits of Preconditioning Cattle under Stochastic Feedlot Performance","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","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 Calgary","funders":"","keywords":"Feedlot; Feeder cattle; Purchasing; Fed cattle; Business; Value (mathematics); Economics; Agricultural science; Animal science; Mathematics; Operations management; Statistics; Biology","score_opus":0.008271175954829249,"score_gpt":0.17879815784646413,"score_spread":0.1705269818916349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303980205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996074,0.000014202466,0.00019989713,0.000004589225,7.6562105e-7,0.0000023878667,0.00004916015,0.0000017095367,0.0001200055],"genre_scores_gemma":[0.999706,0.000008204034,0.00009617185,0.00000489776,0.0000010208513,0.0000024641204,0.00006144933,9.0907037e-7,0.00011884543],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99965453,0.00011927976,0.000018392147,0.00006681373,0.000047877107,0.00009307376],"domain_scores_gemma":[0.99845827,0.0004962329,0.00044627817,0.0001342883,0.00014660868,0.00031837085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005624107,0.00020006993,0.00020246563,0.00017544755,0.00014223262,0.00045516837,0.00015888114,0.00026440618,0.001386668],"category_scores_gemma":[0.001181148,0.000068657646,0.00022925738,0.00016294245,0.00027881432,0.00031541585,0.00027513166,0.00031036808,0.00009594144],"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":[0.013296611,0.0011311022,0.45683542,0.00018818544,0.00044001354,0.0003903866,0.0002465375,0.0366286,0.4632436,0.0015673875,0.00014173912,0.025890354],"study_design_scores_gemma":[0.0000381471,0.0071769957,0.9601575,0.000016419683,0.00014853136,0.0001552465,0.00020812787,0.008600067,0.022422777,0.00065756857,0.0003976638,0.000020988518],"about_ca_topic_score_codex":0.0023000096,"about_ca_topic_score_gemma":0.002360897,"teacher_disagreement_score":0.0023000096,"about_ca_system_score_codex":0.000544605,"about_ca_system_score_gemma":0.00027491638,"threshold_uncertainty_score":0.0046389103},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W4311960855","doi":"10.1017/aae.2022.37","title":"The Impact of Fundamentals on Volatility Measures of Agricultural Substitutes","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Contango; Economics; Volatility (finance); Futures contract; Normal backwardation; Commodity market; Commodity; Convenience yield; Spillover effect; Financial economics; Agriculture; Commodity swap; Monetary economics; Spot contract; Macroeconomics; Finance","score_opus":0.026253316628924522,"score_gpt":0.21160408012523801,"score_spread":0.1853507634963135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311960855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717146,0.00010753865,0.0016504142,0.00002922023,0.0000027147832,0.0000029583325,0.00007879506,0.000008676534,0.0009482911],"genre_scores_gemma":[0.999673,0.000030624036,0.00013869978,0.0000024201347,0.0000023086723,8.6831125e-7,0.000065120454,0.000002174851,0.000084896485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969316,0.000072945375,0.000027211698,0.00007553659,0.00008434942,0.00004684274],"domain_scores_gemma":[0.99537873,0.0023427652,0.0013554451,0.00043789303,0.00029486945,0.0001902575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010923009,0.00023185923,0.0003888625,0.0007218224,0.00014181442,0.0014754392,0.00027610842,0.00026511375,0.0015387066],"category_scores_gemma":[0.0074116555,0.00014690174,0.0003578303,0.00055334927,0.00049977534,0.0014637894,0.0006979004,0.00043954156,0.00011337678],"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":[0.0011666876,0.0001940662,0.7495397,0.0002176141,0.00052569853,0.0011678359,0.00057996565,0.10526574,0.057234917,0.038070817,0.00049838715,0.045538582],"study_design_scores_gemma":[0.00004139344,0.0008745305,0.69534844,0.00005837812,0.00017451722,0.00056693977,0.0008442679,0.24766068,0.020546261,0.032048877,0.001740485,0.00009521558],"about_ca_topic_score_codex":0.0013635858,"about_ca_topic_score_gemma":0.00073185825,"teacher_disagreement_score":0.0015387066,"about_ca_system_score_codex":0.00038045045,"about_ca_system_score_gemma":0.00020615477,"threshold_uncertainty_score":0.0057767034},"labels":[],"label_agreement":null},{"id":"W4396805833","doi":"10.1017/aae.2024.12","title":"Economic Analysis of Calving Assistance on Western Canadian Cow-Calf Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Animal health and immunology","field":"Veterinary","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 Saskatchewan; University of Calgary","funders":"","keywords":"Ice calving; Cow-calf; Economic analysis; Animal science; Agricultural science; Agricultural economics; Economics; Biology; Lactation; Pregnancy; Herd","score_opus":0.024900571671171132,"score_gpt":0.2724155213652974,"score_spread":0.24751494969412627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396805833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943001,0.00030052962,0.0009011001,0.00009626356,0.0000049171,0.00006289202,0.0019277186,0.000010183776,0.0023963084],"genre_scores_gemma":[0.9975809,0.00014032473,0.0005415013,0.0000112524585,0.0000016787657,0.000010255313,0.00094168296,0.0000028612594,0.00076956424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992274,0.00012571242,0.000023819597,0.00007489971,0.0002601823,0.00028796535],"domain_scores_gemma":[0.9988471,0.00041520424,0.00018899118,0.000024947369,0.00036044305,0.00016330415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012224399,0.00045519415,0.00039554277,0.0012435195,0.0006153675,0.001281364,0.000734834,0.0002919359,0.0018961086],"category_scores_gemma":[0.0034465988,0.000253776,0.00071133644,0.0018265097,0.0004532505,0.00036324118,0.0004371456,0.0005157428,0.00010105378],"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":[0.001010907,0.0001812294,0.47707984,0.00023917308,0.00034404846,0.00045609148,0.00020503567,0.49112433,0.0011806175,0.0031874196,0.0014315515,0.023559708],"study_design_scores_gemma":[0.000035767334,0.0003127656,0.61914575,0.00005743717,0.00015863376,0.00007988528,0.00086605386,0.37604332,0.0005698136,0.0005942055,0.002089516,0.00004677909],"about_ca_topic_score_codex":0.9265393,"about_ca_topic_score_gemma":0.9429048,"teacher_disagreement_score":0.0734607,"about_ca_system_score_codex":0.025238125,"about_ca_system_score_gemma":0.011442348,"threshold_uncertainty_score":0.18311626},"labels":[],"label_agreement":null},{"id":"W4396870692","doi":"10.1017/aae.2024.13","title":"Grazing Management Plan Adoption and Objective Prioritization in U.S. Cow-Calf and Stocker Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Prioritization; Grazing; Plan (archaeology); Cow-calf; Business; Agricultural science; Operations management; Geography; Process management; Animal science; Engineering; Environmental science; Biology; Agronomy; Archaeology","score_opus":0.027620667832137128,"score_gpt":0.1827601746497622,"score_spread":0.1551395068176251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396870692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947995,0.000027826984,0.000049174327,0.00004548515,0.0000012203468,0.0000026026369,0.00011795982,8.387129e-7,0.00027493862],"genre_scores_gemma":[0.99937516,0.000051073268,0.000116264884,0.000020832824,0.0000018892669,0.0000032449952,0.0002863589,6.625913e-7,0.00014448592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995647,0.00012391295,0.000038019996,0.00006836841,0.00009895268,0.00010608676],"domain_scores_gemma":[0.9960465,0.0007658588,0.0023790055,0.00008232603,0.00032528548,0.0004009724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152156,0.0001090271,0.000077136545,0.0007073221,0.00019448128,0.0005592038,0.00019369146,0.00014380692,0.0012395674],"category_scores_gemma":[0.003361468,0.00008408868,0.00014367532,0.00097093475,0.00022329818,0.00039600625,0.00044688713,0.00037463984,0.00008169979],"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":[0.000027614084,0.000033127453,0.99644744,0.0000038036399,0.0000134615975,0.00001972432,0.00014106566,0.00014128038,0.00011658195,0.00005108582,0.000121085424,0.0028836897],"study_design_scores_gemma":[0.0000012293392,0.000033051707,0.99833715,0.000007184818,0.0000037589305,0.0000209362,0.0009364534,0.00032469217,0.000052740677,0.000025402647,0.00025525442,0.0000020158982],"about_ca_topic_score_codex":0.037736177,"about_ca_topic_score_gemma":0.09312747,"teacher_disagreement_score":0.037736177,"about_ca_system_score_codex":0.0006839617,"about_ca_system_score_gemma":0.0005513503,"threshold_uncertainty_score":0.07503307},"labels":[],"label_agreement":null},{"id":"W4402647085","doi":"10.1017/aae.2024.26","title":"Controlled Grazing as a Pathway for Enhancing Investment in Multipurpose Trees and Welfare","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forest Management and 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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Grazing; Welfare; Investment (military); Economics; Agricultural economics; Business; Natural resource economics; Agroforestry; Public economics; Environmental science; Agronomy; Biology; Market economy; Political science","score_opus":0.005859321382177389,"score_gpt":0.1913739007688186,"score_spread":0.1855145793866412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402647085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997834,0.00009956076,0.0007223171,0.0001127655,0.0000036182855,0.0000115762605,0.000026822214,0.0000068815607,0.0011825197],"genre_scores_gemma":[0.9995028,0.000026398848,0.00030950378,0.00001331194,0.0000018483111,0.0000036300926,0.00000807303,5.362911e-7,0.00013397483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996057,0.00023979976,0.000009385281,0.00003316859,0.000034456672,0.00007750149],"domain_scores_gemma":[0.9976215,0.00094616925,0.00082301645,0.00015605369,0.00006936745,0.00038395156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067157345,0.00016442046,0.00010255341,0.00020591688,0.0001947654,0.0004763996,0.00019123829,0.00024442337,0.0019274298],"category_scores_gemma":[0.0016713168,0.00006964745,0.00016645427,0.00015031178,0.00062121754,0.00022514699,0.00049360876,0.0003257009,0.000051898292],"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":[0.0044817855,0.0043635573,0.77279663,0.00035564744,0.0004833547,0.00085411494,0.0008630834,0.008379008,0.10031823,0.01615029,0.0007197789,0.090234436],"study_design_scores_gemma":[0.00009871778,0.0029227433,0.9739154,0.00008453117,0.000119957316,0.00016100942,0.00073093397,0.0070029004,0.0070247934,0.0057036756,0.0022152218,0.000020170477],"about_ca_topic_score_codex":0.0015550235,"about_ca_topic_score_gemma":0.005072511,"teacher_disagreement_score":0.0019274298,"about_ca_system_score_codex":0.00039602947,"about_ca_system_score_gemma":0.0004046178,"threshold_uncertainty_score":0.0064479113},"labels":[],"label_agreement":null},{"id":"W4406478084","doi":"10.1017/aae.2024.38","title":"Weekly Options on Grain Futures","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","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":"Norris Cotton Cancer Center; Egg Farmers of Canada","keywords":"Futures contract; Economics; Agricultural economics; Financial economics","score_opus":0.025682750523354145,"score_gpt":0.19984619947328322,"score_spread":0.17416344894992908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406478084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730636,0.0012182215,0.0023469958,0.0009773705,0.00013785722,0.00002536391,0.011075285,0.00014257237,0.011012795],"genre_scores_gemma":[0.98388624,0.0003220505,0.0007823928,0.000068841604,0.000092776994,0.000020887637,0.011383548,0.000034234185,0.0034089845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949884,0.00011836344,0.000024099221,0.000081811755,0.00018967495,0.000087268156],"domain_scores_gemma":[0.9964978,0.0018056179,0.0009073426,0.0001837502,0.0004412199,0.0001642812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012130938,0.000285823,0.0003969909,0.0013232083,0.00023049046,0.0013904738,0.00037932486,0.00060446246,0.0065092784],"category_scores_gemma":[0.008079307,0.000096689975,0.00036005315,0.0014939879,0.0003362595,0.0013486962,0.0005519302,0.0010759793,0.0014117642],"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":[0.0023239625,0.0005027333,0.58544,0.00044994787,0.000368021,0.0013113518,0.00066485745,0.14598893,0.0040154047,0.04438323,0.07801202,0.13653947],"study_design_scores_gemma":[0.00011391439,0.0007128499,0.49959394,0.00030664133,0.0001536149,0.00072284933,0.002163187,0.34012705,0.0047495416,0.035224926,0.115935475,0.00019595251],"about_ca_topic_score_codex":0.00697683,"about_ca_topic_score_gemma":0.0050670225,"teacher_disagreement_score":0.00697683,"about_ca_system_score_codex":0.0005741918,"about_ca_system_score_gemma":0.00023044209,"threshold_uncertainty_score":0.021775663},"labels":[],"label_agreement":null},{"id":"W4406995874","doi":"10.1017/aae.2024.39","title":"Beyond Borders: An Empirical Analysis of the “Fresh From Florida” State Marketing Program","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":"State (computer science); Marketing; Business; Agricultural economics; Regional science; Economics; Geography; Computer science","score_opus":0.007868118777787515,"score_gpt":0.21973199410227537,"score_spread":0.21186387532448786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406995874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924254,0.000013775486,0.00003541934,0.00004979779,7.2977184e-7,0.00000945219,0.000029272627,6.9760614e-7,0.00061832607],"genre_scores_gemma":[0.9995191,0.000020404706,0.000065293,0.000037622845,0.0000026467608,0.000011396139,0.0000849636,8.1691e-7,0.00025774157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990043,0.0004886059,0.000031267686,0.00013227815,0.00019535166,0.0001481883],"domain_scores_gemma":[0.9866648,0.007268464,0.0039699515,0.000412341,0.00068619277,0.0009983289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016745324,0.00013300592,0.0001774686,0.00073196634,0.0010889387,0.00092468114,0.0005828025,0.0004825074,0.004032112],"category_scores_gemma":[0.006695556,0.00010433961,0.0002564222,0.0008607567,0.00078976474,0.0010764212,0.00067379227,0.0009699396,0.00014597543],"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":[0.0004900003,0.0016694306,0.9793944,0.000037961963,0.00008901563,0.0001572236,0.004248936,0.0004603671,0.0011815439,0.0006621884,0.0007106558,0.010898219],"study_design_scores_gemma":[0.0000138264595,0.0003635402,0.98571813,0.00001822755,0.000043457603,0.000037299524,0.01089166,0.0013881555,0.00027787665,0.00008518118,0.001151825,0.000010868857],"about_ca_topic_score_codex":0.06630286,"about_ca_topic_score_gemma":0.10208688,"teacher_disagreement_score":0.06630286,"about_ca_system_score_codex":0.0012879935,"about_ca_system_score_gemma":0.0009250085,"threshold_uncertainty_score":0.13183385},"labels":[],"label_agreement":null},{"id":"W4409624433","doi":"10.1017/aae.2025.10","title":"The U.S. Elasticity of Import Demand for Potash","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","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":"Oregon State University","keywords":"Potash; Economics; Elasticity (physics); Agricultural economics; Price elasticity of demand; Microeconomics; Chemistry; Potassium; Thermodynamics; Physics","score_opus":0.021357727842620133,"score_gpt":0.1976008925253918,"score_spread":0.17624316468277168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409624433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651509,0.00068087404,0.00063398073,0.0017579526,0.00003442821,0.000007833291,0.004628623,0.00003155101,0.027073976],"genre_scores_gemma":[0.99796164,0.00014981975,0.000057730318,0.000055508484,0.000007841531,0.0000017851224,0.00086715096,0.000003705211,0.0008948587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979633,0.000037950696,0.000014262258,0.00004353106,0.00005893703,0.00004889524],"domain_scores_gemma":[0.99782604,0.0010521145,0.00047604291,0.000115262934,0.0004040293,0.00012638843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039129538,0.00011241908,0.00018695896,0.00093147083,0.00024517236,0.00095506874,0.00013949926,0.00033251263,0.009312542],"category_scores_gemma":[0.002487966,0.0001241736,0.00027484167,0.0014069625,0.00024168495,0.00037455666,0.00028826957,0.00042899247,0.000736124],"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":[0.00038915765,0.00007806286,0.9167544,0.00010279093,0.00017304672,0.00054889446,0.00049551047,0.023093509,0.0025158145,0.018874062,0.014437563,0.022537295],"study_design_scores_gemma":[0.000021174295,0.00006247639,0.958502,0.000061140854,0.000059588445,0.00026030611,0.00154924,0.020023815,0.0012902031,0.0065868855,0.011535449,0.000047765912],"about_ca_topic_score_codex":0.09858333,"about_ca_topic_score_gemma":0.1008537,"teacher_disagreement_score":0.09858333,"about_ca_system_score_codex":0.0018555181,"about_ca_system_score_gemma":0.0005721012,"threshold_uncertainty_score":0.19601905},"labels":[],"label_agreement":null},{"id":"W4414667871","doi":"10.1017/aae.2025.10021","title":"Factors Affecting Enrollment in General Conservation Reserve Program: A Duration Analysis of Producers in Southern United States","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","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":"Department of Environment and Conservation","funders":"University of Cambridge","keywords":"Conservation Reserve Program; Duration (music); Renting; Agriculture; Ranking (information retrieval); Conservation agriculture","score_opus":0.04908177023382297,"score_gpt":0.2206689685069236,"score_spread":0.17158719827310065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414667871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99950624,0.000020462085,0.00008129561,0.000060799,0.0000013891715,0.0000067942424,0.0001493038,0.0000011069211,0.00017267923],"genre_scores_gemma":[0.99935716,0.000015467858,0.000052394902,0.000014526677,0.000003226582,0.000009079515,0.0002908984,9.421158e-7,0.00025627954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930227,0.0002424353,0.00005711984,0.00012659738,0.00010863512,0.00016297071],"domain_scores_gemma":[0.9881131,0.004214477,0.004333112,0.00028240678,0.00091778836,0.0021390647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024215542,0.00009964827,0.00017590534,0.00049735873,0.0005341486,0.0009450088,0.00045404144,0.00040363273,0.0035323042],"category_scores_gemma":[0.008458539,0.00013274034,0.00027240306,0.00067936716,0.0003106493,0.0006504116,0.00058531476,0.0006257751,0.00025358613],"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":[0.00009111902,0.000082204555,0.9977822,0.0000034659251,0.0000105076215,0.000031450938,0.00047795183,0.00021505197,0.000100244026,0.00004376623,0.0001066328,0.0010555587],"study_design_scores_gemma":[0.0000035762462,0.000084946216,0.9965718,0.0000056760923,0.000007790194,0.000019953932,0.0018623745,0.0011271939,0.00003343685,0.000040524355,0.00023998864,0.000002899844],"about_ca_topic_score_codex":0.04003637,"about_ca_topic_score_gemma":0.0533751,"teacher_disagreement_score":0.04003637,"about_ca_system_score_codex":0.00095905765,"about_ca_system_score_gemma":0.00075986714,"threshold_uncertainty_score":0.07960671},"labels":[],"label_agreement":null},{"id":"W4414709098","doi":"10.1017/aae.2025.10023","title":"The Repayment Structure of Agricultural Loans under a Full Repayment Constraint","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Microfinance and Financial Inclusion","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":"Western University","funders":"","keywords":"Constraint (computer-aided design); Asset (computer security); Loan; Constant (computer programming); Agriculture; Budget constraint","score_opus":0.008415207511960421,"score_gpt":0.18763412518102326,"score_spread":0.17921891766906284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414709098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8894969,0.0004616984,0.10311175,0.0015751114,0.000023113578,0.00010595785,0.00045895154,0.00018757912,0.0045788637],"genre_scores_gemma":[0.9921755,0.000104962426,0.005769519,0.00003332966,0.0000153213,0.00003512627,0.000103156824,0.000020895732,0.0017421509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979869,0.0010584326,0.00011685152,0.0003227814,0.00016884826,0.0003461805],"domain_scores_gemma":[0.98129094,0.011110212,0.0043617454,0.0010917288,0.0011352367,0.0010099778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00573142,0.00056709675,0.0013559368,0.0007936814,0.0005047577,0.0019824188,0.0024808792,0.0024432277,0.006160774],"category_scores_gemma":[0.026138512,0.0007306544,0.0007034038,0.0006803546,0.0015574716,0.0038528794,0.0014144846,0.0022314622,0.00057316164],"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":[0.0009732674,0.00035969986,0.0068118745,0.0001896543,0.00007643968,0.00063837605,0.00028117836,0.8590331,0.004153248,0.10765912,0.002450617,0.017373476],"study_design_scores_gemma":[0.00009544215,0.0002364479,0.0031905342,0.000024194671,0.000019546169,0.00008642073,0.00015933087,0.96130025,0.0010118124,0.03334673,0.0004967048,0.000032537282],"about_ca_topic_score_codex":0.0050339946,"about_ca_topic_score_gemma":0.0018432015,"teacher_disagreement_score":0.006160774,"about_ca_system_score_codex":0.0019675957,"about_ca_system_score_gemma":0.0011885744,"threshold_uncertainty_score":0.030310988},"labels":[],"label_agreement":null}]}