{"meta":{"query_hash":"53ae96cff7fc","filters":{"venue":"International Journal of Agricultural and Environmental Information Systems"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/53ae96cff7fc","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Agricultural+and+Environmental+Information+Systems"},"results":[{"id":"W1987759864","doi":"10.4018/jaeis.2010070102","title":"A Systematic Approach for Managing the Risk Related to Semantic Interoperability between Geospatial Datacubes","year":2010,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Geospatial analysis; Computer science; Interoperability; Information retrieval; Database; Geospatial metadata; Data science; Metadata; World Wide Web; Geography; Metadata repository; Remote sensing; Meta Data Services","score_opus":0.006775708503710019,"score_gpt":0.2040943667207618,"score_spread":0.1973186582170518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987759864","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":[0.0020163015,0.00012905053,0.996332,0.0003137659,0.000012895895,0.00023116017,0.000024358738,0.00015610829,0.00078434066],"genre_scores_gemma":[0.051843904,0.00024828486,0.94670165,0.00009729756,0.000023806098,0.00034973997,0.00013154659,0.000046681253,0.00055702985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97912484,0.007853429,0.002273731,0.0018786952,0.00823232,0.0006370171],"domain_scores_gemma":[0.97971034,0.0066286903,0.0019893108,0.0068358276,0.0042020995,0.00063371164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016606301,0.0012273302,0.0016514426,0.004214013,0.0024785083,0.0077274935,0.004895161,0.0031087513,0.0014119523],"category_scores_gemma":[0.029804088,0.0017111356,0.0029560288,0.0047180736,0.004257956,0.011314981,0.009500541,0.004071696,0.00044222732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014007039,0.0003537934,0.004248427,0.0006768348,0.0004160662,0.00094063167,0.002059262,0.15122968,0.008826765,0.5863507,0.004029946,0.2407279],"study_design_scores_gemma":[0.000074168325,0.00020926572,0.00072467665,0.00042534724,0.00028961408,0.0010398076,0.001377355,0.58141494,0.012104868,0.362114,0.040081237,0.00014475962],"about_ca_topic_score_codex":0.0031872655,"about_ca_topic_score_gemma":0.003563667,"teacher_disagreement_score":0.016606301,"about_ca_system_score_codex":0.0024785178,"about_ca_system_score_gemma":0.0062965727,"threshold_uncertainty_score":0.08782357},"labels":[],"label_agreement":null},{"id":"W2036524648","doi":"10.4018/jaeis.2010070104","title":"Describing Spatio-Temporal Phenomena for Environmental System Development","year":2010,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Temporalities; Temporality; Rotation formalisms in three dimensions; Simple (philosophy); Computer science; Focus (optics); Extension (predicate logic); Field (mathematics); Cognitive science; Presentation (obstetrics); Epistemology; Programming language; Psychology; Mathematics; Philosophy","score_opus":0.011699973528119913,"score_gpt":0.18282299448812928,"score_spread":0.17112302096000936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036524648","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":[0.0031993696,0.0007513176,0.987856,0.0005812959,0.000068190566,0.000074839765,0.0004877316,0.00030977977,0.0066715605],"genre_scores_gemma":[0.13099234,0.0031244867,0.85436696,0.0002097302,0.00013476938,0.0006252168,0.0020204135,0.00021676057,0.008309365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891114,0.0004912809,0.00013361475,0.00013373944,0.00026792195,0.00006228484],"domain_scores_gemma":[0.9983676,0.00100133,0.00018113614,0.0002469068,0.00014723287,0.000055786808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019170748,0.0009705177,0.0005028881,0.0012018512,0.00070346746,0.0029774169,0.0013443257,0.0010328551,0.006488134],"category_scores_gemma":[0.0048063826,0.00040086132,0.0014991581,0.002327128,0.0012927541,0.004651594,0.0022427153,0.0018473064,0.001145246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001848987,0.000028084869,0.00084702304,0.00031367454,0.000040418767,0.00038304072,0.0006736426,0.19955811,0.0014461968,0.7621203,0.003216058,0.031354997],"study_design_scores_gemma":[0.0000121887115,0.000018806924,0.0002611175,0.00010670275,0.000027271297,0.00018114642,0.0002832369,0.6154669,0.0010582287,0.30153477,0.08102701,0.000022715507],"about_ca_topic_score_codex":0.005441775,"about_ca_topic_score_gemma":0.009482376,"teacher_disagreement_score":0.006488134,"about_ca_system_score_codex":0.0016446993,"about_ca_system_score_gemma":0.0013078725,"threshold_uncertainty_score":0.021705031},"labels":[],"label_agreement":null},{"id":"W2044768841","doi":"10.4018/jaeis.2012070102","title":"Forecasting High Correlation Transition of Agricultural Landscapes into Urban Areas","year":2012,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Urban sprawl; Cellular automaton; Agriculture; Natural (archaeology); Economic geography; Geography; Environmental resource management; Physical geography; Environmental planning; Land use; Computer science; Environmental science; Civil engineering; Engineering; Artificial intelligence; Archaeology","score_opus":0.005853666379802488,"score_gpt":0.17092446459221047,"score_spread":0.165070798212408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044768841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902908,0.000059441325,0.008427652,0.00005862887,0.0000107328915,0.000011682577,0.00035289585,0.000096240365,0.00069186225],"genre_scores_gemma":[0.99740463,0.000029404568,0.0021201898,0.0000033301837,0.0000034579127,0.000005335023,0.0002865784,0.0000029794635,0.00014407703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999187,0.000013492066,0.0000051117395,0.000028419972,0.000015052419,0.000019249383],"domain_scores_gemma":[0.9995117,0.00027504648,0.000061555336,0.00003569504,0.00005679029,0.000059132417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028522353,0.00030646592,0.0002764345,0.0007899232,0.00018030354,0.0006045227,0.00034399537,0.00050762563,0.0007727963],"category_scores_gemma":[0.0013358842,0.000179906,0.00028490665,0.00065281714,0.00019102197,0.00046738415,0.0003087646,0.000334793,0.00012854332],"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":[0.00018807146,0.00012980278,0.13499375,0.00004710076,0.00004778348,0.00031668023,0.00010696202,0.83710665,0.0035392374,0.00089143903,0.00076171634,0.02187091],"study_design_scores_gemma":[0.0000026782966,0.000014352941,0.016563464,0.0000016529314,0.0000042315323,0.000012864066,0.000038796614,0.9826012,0.00042513062,0.00023297491,0.000099556026,0.000003171079],"about_ca_topic_score_codex":0.011745258,"about_ca_topic_score_gemma":0.012237695,"teacher_disagreement_score":0.011745258,"about_ca_system_score_codex":0.00050548767,"about_ca_system_score_gemma":0.00021344628,"threshold_uncertainty_score":0.023353755},"labels":[],"label_agreement":null},{"id":"W2093938626","doi":"10.4018/ijaeis.2014040104","title":"Agricultural and Environmental Applications of RFID Technology","year":2014,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"RFID technology advancements","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Radio-frequency identification; Antenna (radio); Wireless; Product (mathematics); Telecommunications; Process (computing); Information and Communications Technology; Focus (optics); Electrical engineering; Engineering; Code (set theory); Identification (biology); Field (mathematics); Computer science; Computer security; World Wide Web; Operating system","score_opus":0.002020263884895172,"score_gpt":0.16210835763963574,"score_spread":0.16008809375474056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093938626","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056250975,0.61481696,0.048689235,0.0069667846,0.0014778686,0.00009995711,0.00030470185,0.00038919388,0.27100435],"genre_scores_gemma":[0.39631274,0.506335,0.030890219,0.0021679108,0.0013573448,0.00007291299,0.00031897938,0.00004312246,0.0625017],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953413,0.00009982574,0.00003433199,0.000091252296,0.00018512466,0.0000552839],"domain_scores_gemma":[0.999619,0.00015528372,0.00006266674,0.000020813419,0.00012352961,0.000018599789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042807395,0.00038941766,0.00035768125,0.0010422013,0.00039047466,0.0013983919,0.00036493014,0.0011053013,0.003514271],"category_scores_gemma":[0.00061901216,0.00013855327,0.0004114643,0.0017246216,0.0005017565,0.0008408088,0.00072790333,0.00046571868,0.0015691776],"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":[0.000141088,0.00017049018,0.0066127125,0.0052667223,0.000087364,0.0031575104,0.0011169269,0.0026846274,0.10101181,0.048980113,0.015187758,0.8155829],"study_design_scores_gemma":[0.000006475729,0.0003004383,0.005868081,0.0007016181,0.000075117525,0.0042724246,0.0011000817,0.001301833,0.04961503,0.013785797,0.92293286,0.000040250634],"about_ca_topic_score_codex":0.00059500535,"about_ca_topic_score_gemma":0.0006828113,"teacher_disagreement_score":0.003514271,"about_ca_system_score_codex":0.00052665954,"about_ca_system_score_gemma":0.00046418142,"threshold_uncertainty_score":0.0117563605},"labels":[],"label_agreement":null},{"id":"W2807985678","doi":"10.4018/ijaeis.2018070106","title":"Decision Support for Agricultural Consultants With Semantic Data Federation","year":2018,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Workflow; Software deployment; Variety (cybernetics); Analytics; World Wide Web; Data science; Database; Software engineering","score_opus":0.01021442425513602,"score_gpt":0.2240090987187296,"score_spread":0.21379467446359357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807985678","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":[0.22301751,0.0005080751,0.64578414,0.010074991,0.00037020087,0.0012879125,0.002390552,0.019826965,0.09673963],"genre_scores_gemma":[0.7701189,0.00026433868,0.2211294,0.00043935716,0.00006389205,0.00023940825,0.001947596,0.00034939492,0.005447654],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950016,0.0021239182,0.00046177238,0.0006653687,0.0011864743,0.0005608336],"domain_scores_gemma":[0.99295056,0.0025666044,0.0005856316,0.0019071903,0.0013726382,0.00061738916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069192015,0.00069342833,0.00086439605,0.0019633465,0.0021715383,0.0055125384,0.0017042673,0.0014918341,0.0065590492],"category_scores_gemma":[0.011981018,0.00048768552,0.000885607,0.0028938034,0.0009354941,0.0046184016,0.0043128366,0.0011132302,0.002330345],"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":[0.0013838736,0.001511843,0.03170141,0.00051538815,0.00027393096,0.0028220199,0.004371718,0.1804448,0.014446121,0.15938178,0.070468046,0.5326791],"study_design_scores_gemma":[0.00015277106,0.00013813091,0.0034309379,0.00011577207,0.000065895205,0.00047683512,0.0037646533,0.72888255,0.010244144,0.11200071,0.14060846,0.000119137854],"about_ca_topic_score_codex":0.009246321,"about_ca_topic_score_gemma":0.010101976,"teacher_disagreement_score":0.009246321,"about_ca_system_score_codex":0.0021852977,"about_ca_system_score_gemma":0.0058105644,"threshold_uncertainty_score":0.036592662},"labels":[],"label_agreement":null},{"id":"W2808484790","doi":"10.4018/ijaeis.2018070101","title":"Supporting Decision for Environment-Friendly Practices in the Agri-Food Sector","year":2018,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Deliberation; Argumentation theory; Incentive; Complementarity (molecular biology); Argument (complex analysis); Process (computing); Management science; Risk analysis (engineering); Computer science; Industrial organization; Business; Economics; Microeconomics; Political science","score_opus":0.027895150422559346,"score_gpt":0.2689554532245064,"score_spread":0.24106030280194707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808484790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5515448,0.000628513,0.3188737,0.008927587,0.00013958038,0.0011563877,0.00029079098,0.00036472632,0.11807393],"genre_scores_gemma":[0.9454621,0.00022513977,0.052680656,0.00013496492,0.000010724839,0.00016690887,0.000076533135,0.000014153588,0.0012287203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9866084,0.0111109875,0.00038378718,0.00045435075,0.0008814441,0.0005611254],"domain_scores_gemma":[0.9743129,0.021517519,0.0016401813,0.0009891602,0.0009632643,0.00057699205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014159035,0.0006196765,0.00045386227,0.0013853639,0.0020322546,0.006553211,0.0013363754,0.0029731703,0.0051778066],"category_scores_gemma":[0.020491455,0.00035624258,0.00077342027,0.0012835499,0.002045501,0.005221859,0.0035432377,0.0013211507,0.0006220509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000896183,0.0018347824,0.025337765,0.0015106167,0.00029188045,0.0020447485,0.012899155,0.33185148,0.009911634,0.4304624,0.0036142727,0.17934516],"study_design_scores_gemma":[0.0003478995,0.00070298044,0.0044537443,0.00080685125,0.00013229267,0.00026325954,0.017234795,0.45215195,0.009612229,0.46420774,0.04994593,0.00014035648],"about_ca_topic_score_codex":0.0022469694,"about_ca_topic_score_gemma":0.0028150466,"teacher_disagreement_score":0.014159035,"about_ca_system_score_codex":0.0027976446,"about_ca_system_score_gemma":0.0049095806,"threshold_uncertainty_score":0.07488108},"labels":[],"label_agreement":null},{"id":"W2808568836","doi":"10.4018/ijaeis.2018070104","title":"A Decision Support Tool for Agricultural Applications Based on Computational Social Choice and Argumentation","year":2018,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Montpellier; AgroParisTech; Institut national de recherche en informatique et en automatique (INRIA); Massachusetts Institute of Technology; Université Laval; Institut National de la Recherche Agronomique; Harvard University; University of Patras","keywords":"Deliberation; Argumentation theory; Management science; Context (archaeology); Decision support system; Computer science; ELECTRE; Agriculture; Argumentation framework; Operations research; Risk analysis (engineering); Knowledge management; Artificial intelligence; Engineering; Multiple-criteria decision analysis; Business; Political science; Ecology","score_opus":0.013256247588382635,"score_gpt":0.22508124423833387,"score_spread":0.21182499664995122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808568836","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":[0.004753169,0.000056747267,0.98467505,0.00031695183,0.000055524724,0.00031071654,0.00018452673,0.0062688855,0.0033785026],"genre_scores_gemma":[0.075956784,0.000106570296,0.91824955,0.00017460027,0.000039746035,0.00070194906,0.00039189978,0.00058002915,0.0037989228],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966323,0.0016695851,0.00034495295,0.00039771353,0.000825701,0.00012984088],"domain_scores_gemma":[0.9915314,0.0067762025,0.0002516629,0.0007214344,0.00045418274,0.00026510924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045048995,0.0011193041,0.0009627494,0.0023925959,0.0012458289,0.0041019567,0.0022546644,0.002410934,0.015582981],"category_scores_gemma":[0.012541843,0.00063200947,0.00202426,0.0012000941,0.0014465379,0.0028149677,0.0038681729,0.001976011,0.0030619563],"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":[0.00059173733,0.000954844,0.0029241336,0.0011206586,0.00033925864,0.0014471812,0.003727248,0.10507894,0.019432683,0.3202306,0.017450076,0.52670264],"study_design_scores_gemma":[0.0002537417,0.00019967477,0.00074389274,0.00027396705,0.000099385616,0.00051336037,0.0003031543,0.63620156,0.01198875,0.21886045,0.13043758,0.00012452822],"about_ca_topic_score_codex":0.0010074591,"about_ca_topic_score_gemma":0.001055569,"teacher_disagreement_score":0.015582981,"about_ca_system_score_codex":0.0007510465,"about_ca_system_score_gemma":0.0012458024,"threshold_uncertainty_score":0.052130282},"labels":[],"label_agreement":null},{"id":"W601341005","doi":"10.4018/ijaeis.2015070103","title":"New Design Approach to Handle Spatial Vagueness in Spatial OLAP Datacubes","year":2015,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre de Géomatique du Québec","funders":"","keywords":"Vagueness; Online analytical processing; Computer science; Spatial analysis; Metadata; Data mining; Data science; Information retrieval; Fuzzy logic; Geography; Data warehouse; Artificial intelligence; World Wide Web","score_opus":0.021950130857757898,"score_gpt":0.21718246831694232,"score_spread":0.19523233745918442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W601341005","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":[0.0027837276,0.000081050464,0.99515593,0.00013835408,0.000033383265,0.00011773805,0.000052100553,0.0004639462,0.0011738024],"genre_scores_gemma":[0.08459489,0.00023044324,0.9119874,0.00019104472,0.000058211645,0.00047808667,0.00030947433,0.00016606915,0.0019843716],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99609464,0.0012464677,0.00048310988,0.00047935534,0.0014826267,0.00021378254],"domain_scores_gemma":[0.99647266,0.00087570027,0.00028216574,0.0007829719,0.0013861804,0.00020039082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003912095,0.0007506369,0.0008644892,0.0012562494,0.001075633,0.0031423757,0.0022549927,0.0010632682,0.0035119473],"category_scores_gemma":[0.0063619814,0.0006734687,0.0012833867,0.0017499202,0.0010840399,0.0041827364,0.0037117852,0.0014688707,0.00092852954],"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":[0.00059303624,0.00039236984,0.0046706717,0.001108134,0.00026239312,0.0010727516,0.0033084457,0.23312101,0.05210479,0.30551407,0.014064959,0.38378742],"study_design_scores_gemma":[0.000086089545,0.00028805586,0.00046587258,0.000102912556,0.000100448655,0.00062036514,0.00067711796,0.8319796,0.018640326,0.06818416,0.078774326,0.000080725156],"about_ca_topic_score_codex":0.0013111613,"about_ca_topic_score_gemma":0.0013944953,"teacher_disagreement_score":0.003912095,"about_ca_system_score_codex":0.00086098106,"about_ca_system_score_gemma":0.0013888804,"threshold_uncertainty_score":0.020689368},"labels":[],"label_agreement":null}]}