{"meta":{"query_hash":"540fadef2173","filters":{"venue":"Korean Journal of Soil Science and Fertilizer"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/540fadef2173","api":"https://metacan.xera.ac/api/v1/cohort?venue=Korean+Journal+of+Soil+Science+and+Fertilizer"},"results":[{"id":"W1977522551","doi":"10.7745/kjssf.2013.46.3.153","title":"Comparison of Soil Testing Methods for Plant Available Phosphate","year":2013,"lang":"en","type":"article","venue":"Korean Journal of Soil Science and Fertilizer","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phosphate; Soil water; Chemistry; Soil test; Extraction (chemistry); Agronomy; Environmental chemistry; Environmental science; Soil science; Chromatography; Biology","score_opus":0.07160616003591616,"score_gpt":0.3081973699710744,"score_spread":0.23659120993515823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977522551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.900945,0.0054258043,0.084186226,0.00016139323,0.00011373369,0.0006585437,0.002754802,0.00035557017,0.0053989585],"genre_scores_gemma":[0.87397987,0.0050212946,0.11135499,0.00018655926,0.000044366046,0.0012923477,0.0036440801,0.00012890383,0.00434756],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980275,0.0004795879,0.00018952349,0.00030894083,0.00092000427,0.000074364485],"domain_scores_gemma":[0.99794775,0.000956839,0.00023602875,0.00016874103,0.0005994925,0.00009113536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013063947,0.0006834317,0.0003613514,0.0014040451,0.000249238,0.000349631,0.00073408795,0.00042963933,0.0008478509],"category_scores_gemma":[0.0018591497,0.00021282546,0.0003450918,0.0008885255,0.00021781404,0.00048074176,0.00044165482,0.0003668229,0.00037189704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010080589,0.00033255288,0.03256151,0.000854242,0.00014981772,0.000116075294,0.00021805294,0.0007372768,0.8870307,0.00022293862,0.0002378274,0.076530874],"study_design_scores_gemma":[0.00007623106,0.0040024356,0.11701033,0.0000732617,0.0002251967,0.0007190711,0.00030704262,0.004200686,0.8658196,0.00044991795,0.0070091793,0.00010709575],"about_ca_topic_score_codex":0.0019580063,"about_ca_topic_score_gemma":0.0044472646,"teacher_disagreement_score":0.0019580063,"about_ca_system_score_codex":0.00038436224,"about_ca_system_score_gemma":0.0003805963,"threshold_uncertainty_score":0.006909013},"labels":[],"label_agreement":null},{"id":"W2604586710","doi":"10.7745/kjssf.2016.49.6.655","title":"Hydraulic Characteristics of Arable Fields in Korea and Applicability of Pedotransfer Functions","year":2016,"lang":"en","type":"article","venue":"Korean Journal of Soil Science and Fertilizer","topic":"Agriculture, Soil, Plant Science","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":"Rural Development Administration","keywords":"Pedotransfer function; Arable land; Hydraulic conductivity; Soil water; Soil science; Silt; Bulk density; Organic matter; Environmental science; Soil organic matter; Agronomy; Geology; Geography; Chemistry; Agriculture","score_opus":0.013176971242056596,"score_gpt":0.20259276876044788,"score_spread":0.18941579751839127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604586710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999321,0.000027641867,0.00033512356,0.0000042286533,3.5658732e-7,0.000002136592,0.0001467446,0.000007820159,0.00015501196],"genre_scores_gemma":[0.99953353,0.000023929848,0.00022844378,0.0000016452052,4.6428337e-7,0.0000021996475,0.00014600449,0.0000015489122,0.00006223972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999027,0.000018312187,0.000009336373,0.000035422163,0.000013363794,0.000020859809],"domain_scores_gemma":[0.99966383,0.000117154625,0.00006337243,0.00003886972,0.0000721843,0.000044564225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003495299,0.00026194096,0.00016592928,0.0011121973,0.00013967563,0.00028110147,0.00013750704,0.00013382148,0.0003599279],"category_scores_gemma":[0.0006308835,0.00016221199,0.00016923236,0.0009963262,0.00017110168,0.000532141,0.00021994057,0.000095368065,0.000084119325],"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":[0.00023445253,0.000057736015,0.94513273,0.00006679469,0.000051659405,0.0003379544,0.00038230955,0.009787711,0.015475619,0.00014294327,0.0001121981,0.02821786],"study_design_scores_gemma":[0.000005820159,0.00005701981,0.9854181,0.000004881213,0.000016388849,0.00016759628,0.00033202916,0.011853083,0.0017184854,0.000121806406,0.0002908874,0.000013965791],"about_ca_topic_score_codex":0.005405644,"about_ca_topic_score_gemma":0.008298471,"teacher_disagreement_score":0.005405644,"about_ca_system_score_codex":0.00037729464,"about_ca_system_score_gemma":0.00018113323,"threshold_uncertainty_score":0.010748327},"labels":[],"label_agreement":null},{"id":"W4214928625","doi":"10.7745/kjssf.2022.55.1.058","title":"Prediction of Soil Organic Carbon Contents of Rice Paddies in South-Western Coastal Area of Korea Using Random Forest Models","year":2022,"lang":"en","type":"article","venue":"Korean Journal of Soil Science and Fertilizer","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Rural Development Administration","keywords":"Silt; Environmental science; Soil science; Soil water; Soil carbon; Soil test; Vegetation (pathology); Total organic carbon; Hydrology (agriculture); Soil survey; Soil texture; Geology; Environmental chemistry; Geotechnical engineering","score_opus":0.0450006465110102,"score_gpt":0.2106715687540312,"score_spread":0.165670922243021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214928625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969296,0.000066209286,0.0023887136,0.000026530039,0.0000040248924,0.000008597138,0.000345216,0.00007590723,0.00015528432],"genre_scores_gemma":[0.9966539,0.000049309052,0.0026708567,0.0000069991493,0.0000019767326,0.000009187109,0.0005043347,0.000006824461,0.00009649807],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998436,0.00002958645,0.000014567786,0.00006182026,0.000017199689,0.000033256656],"domain_scores_gemma":[0.9996567,0.0001036552,0.00007912686,0.000027839098,0.0000931864,0.000039501356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005453247,0.0007208699,0.00037249827,0.0009414935,0.00016431122,0.00041768255,0.00048811064,0.00036697104,0.00024210307],"category_scores_gemma":[0.000688383,0.00028782414,0.00091274985,0.00066638057,0.00014624555,0.00048737813,0.00025018174,0.00023791731,0.000114605704],"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":[0.00025312722,0.00024984824,0.6612849,0.00014688548,0.0002957216,0.00056682,0.00014001856,0.29298243,0.010388376,0.00018270119,0.0006025314,0.03290669],"study_design_scores_gemma":[0.000022269094,0.00006159634,0.20882249,0.000017046583,0.000069333,0.000059607122,0.00017615556,0.78891957,0.0014827444,0.00011547464,0.00022487965,0.000028709997],"about_ca_topic_score_codex":0.033262476,"about_ca_topic_score_gemma":0.03961583,"teacher_disagreement_score":0.033262476,"about_ca_system_score_codex":0.00040680435,"about_ca_system_score_gemma":0.00056700024,"threshold_uncertainty_score":0.06613779},"labels":[],"label_agreement":null},{"id":"W4411250482","doi":"10.7745/kjssf.2025.58.2.240","title":"Evaluation of long-term water quality trends and CCME-WQI applicability in agricultural watersheds of Korea","year":2025,"lang":"en","type":"article","venue":"Korean Journal of Soil Science and Fertilizer","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","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":"Rural Development Administration","keywords":"Term (time); Agriculture; Water quality; Environmental science; Water resource management; Geography; Archaeology; Ecology","score_opus":0.037091123286621466,"score_gpt":0.33036498621808885,"score_spread":0.2932738629314674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411250482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965519,0.00013532281,0.0011582449,0.00004134539,0.000004417857,0.000021119695,0.0016094522,0.000030291627,0.00044792937],"genre_scores_gemma":[0.9972862,0.000060738694,0.000808323,0.000013366248,0.0000026721557,0.000019637275,0.0016947913,0.0000045889724,0.00010978069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951446,0.000064230364,0.00008487606,0.000162738,0.0000992633,0.00007450362],"domain_scores_gemma":[0.9990551,0.00009166077,0.00030508143,0.000088083,0.00039032486,0.0000698228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013906572,0.00029358407,0.00031171078,0.0016481989,0.00020877816,0.00070270937,0.00039033123,0.00023265842,0.00028016075],"category_scores_gemma":[0.0016060598,0.00013488546,0.0004457911,0.0031377382,0.00022106222,0.00075974735,0.0006378472,0.00022279946,0.00006239869],"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":[0.00003039969,0.000027031907,0.9861438,0.00003588253,0.00009911095,0.00005795509,0.00017250031,0.0012198526,0.0009873132,0.000091036614,0.00019615305,0.010938949],"study_design_scores_gemma":[0.0000021359383,0.000028338649,0.9932319,0.000006666261,0.000029694062,0.00004667488,0.00054623943,0.0049290275,0.00042002145,0.000057900943,0.0006927735,0.000008759067],"about_ca_topic_score_codex":0.033121396,"about_ca_topic_score_gemma":0.06386306,"teacher_disagreement_score":0.033121396,"about_ca_system_score_codex":0.00074457226,"about_ca_system_score_gemma":0.00082630606,"threshold_uncertainty_score":0.06585723},"labels":[],"label_agreement":null},{"id":"W4417265647","doi":"10.7745/kjssf.2025.58.4.465","title":"Assessment of temporal trends of water quality in agricultural watersheds of Jeonnam Province using the CCME-WQI","year":2025,"lang":"en","type":"article","venue":"Korean Journal of Soil Science and Fertilizer","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rural Development Administration","keywords":"Agriculture; Water quality; Farm water; Quality (philosophy); Hydrology (agriculture)","score_opus":0.028917060273254355,"score_gpt":0.3221420832693546,"score_spread":0.29322502299610026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417265647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988158,0.00006676663,0.00021102521,0.000029322446,0.0000016439393,0.000011751825,0.0005471062,0.000007917556,0.0003087061],"genre_scores_gemma":[0.9980989,0.000072649804,0.00067060225,0.000009374047,0.0000016973227,0.000016501179,0.0008978786,0.0000016159648,0.00023084381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998565,0.000015823554,0.000015086562,0.000036605164,0.000042300577,0.00003359463],"domain_scores_gemma":[0.9997042,0.000030423955,0.00008064763,0.000016537037,0.00011648399,0.000051672552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030558772,0.00021703354,0.00017345118,0.0014010019,0.0002463829,0.0003684526,0.00022875737,0.00016822344,0.0002624852],"category_scores_gemma":[0.0005233542,0.000077838886,0.00019127403,0.0023600054,0.00014324662,0.0002941736,0.00041831908,0.00013750338,0.000031430372],"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":[0.00003730793,0.000024239858,0.98631567,0.0000359032,0.000036968566,0.000121996796,0.0003040361,0.00040880858,0.0025023883,0.00006082241,0.00014019705,0.010011615],"study_design_scores_gemma":[0.0000015236275,0.000011650243,0.9978131,0.0000032605824,0.000009033175,0.00002604557,0.00037684082,0.0011619298,0.00019554979,0.000014797117,0.00038227555,0.000003863517],"about_ca_topic_score_codex":0.17817838,"about_ca_topic_score_gemma":0.3866517,"teacher_disagreement_score":0.17817838,"about_ca_system_score_codex":0.0009191695,"about_ca_system_score_gemma":0.001192526,"threshold_uncertainty_score":0.3542825},"labels":[],"label_agreement":null}]}