{"meta":{"query_hash":"9a6872ffd2b4","filters":{"venue":"Journal of Research and Applications in Agricultural Engineering"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/9a6872ffd2b4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Research+and+Applications+in+Agricultural+Engineering"},"results":[{"id":"W1539256234","doi":"","title":"The use of artificial neural networks to predict the spatial variability of grain quality during combine harvest of wheat.","year":2012,"lang":"en","type":"article","venue":"Journal of Research and Applications in Agricultural Engineering","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Precision agriculture; European commission; Agricultural economics; Winter wheat; Grain quality; Biosystems engineering; Agronomy; Agricultural science; Political science; Agricultural engineering; Engineering; Library science; Geography; Regional science; Environmental science; Archaeology; Engineering management; Biology; Computer science; Business; European union; Economics; International trade","score_opus":0.03743666696458656,"score_gpt":0.29612930496203127,"score_spread":0.2586926379974447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539256234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8288246,0.0044818968,0.15790473,0.0012873298,0.0004938331,0.00012787683,0.0020998265,0.000985928,0.003794052],"genre_scores_gemma":[0.97238636,0.0006379884,0.023989541,0.00009220408,0.0000767446,0.00006620773,0.0011179834,0.00004640045,0.0015865074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997727,0.000076483244,0.000025696027,0.000059946862,0.000036772173,0.000028267677],"domain_scores_gemma":[0.9989047,0.00067048665,0.00013384588,0.00004199371,0.00019470394,0.00005430618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013809628,0.00088492286,0.0005007238,0.0012137053,0.00025699052,0.00083255535,0.0006156887,0.00069447357,0.00047932923],"category_scores_gemma":[0.002806035,0.0004799746,0.00078915496,0.000698686,0.00019591086,0.00057519827,0.00044244996,0.000986965,0.00020405522],"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":[0.0008708975,0.00046782102,0.10313752,0.00010506907,0.0005982483,0.0001789707,0.00013085164,0.6252769,0.0035172056,0.0004139421,0.0036380382,0.26166445],"study_design_scores_gemma":[0.000007147036,0.00003404523,0.0149645675,0.00000929129,0.000021632004,0.0000064389023,0.00002404323,0.9841541,0.0003388208,0.00029216942,0.00013812838,0.0000096530775],"about_ca_topic_score_codex":0.030139307,"about_ca_topic_score_gemma":0.03762477,"teacher_disagreement_score":0.030139307,"about_ca_system_score_codex":0.00089463225,"about_ca_system_score_gemma":0.0005185135,"threshold_uncertainty_score":0.05992776},"labels":[],"label_agreement":null},{"id":"W2587323168","doi":"","title":"Selected problems of production process in a barn with robots","year":2016,"lang":"en","type":"article","venue":"Journal of Research and Applications in Agricultural Engineering","topic":"Mechanical and Thermal Properties Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hendrix Genetics (Canada)","funders":"","keywords":"Barn; Production (economics); Process (computing); Robot; Agricultural engineering; Process engineering; Engineering; Environmental science; Biochemical engineering; Pulp and paper industry; Manufacturing engineering; Computer science; Civil engineering; Artificial intelligence","score_opus":0.014315487113936603,"score_gpt":0.23893663350891778,"score_spread":0.22462114639498118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587323168","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":[0.29104328,0.008404047,0.6459173,0.0017343309,0.000642008,0.00023810727,0.00044214074,0.00030272215,0.05127609],"genre_scores_gemma":[0.87520534,0.0033609848,0.08006891,0.0000842176,0.0004233348,0.00018997345,0.00044437748,0.00012190809,0.040100906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996753,0.00008995398,0.000017107122,0.00008794901,0.000095814066,0.000033828972],"domain_scores_gemma":[0.9994717,0.00034896794,0.000046932553,0.00002495421,0.000083625404,0.000023750988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005987735,0.0007927495,0.0008031038,0.0007560271,0.001220822,0.0016105981,0.0011244542,0.0020121147,0.0050775483],"category_scores_gemma":[0.0014115887,0.00041093706,0.0014360729,0.00062086654,0.00069916353,0.0010849579,0.00067470665,0.0006804723,0.00039723396],"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":[0.0003893208,0.00019160984,0.0029677935,0.0009084982,0.00011327828,0.001333923,0.00024034383,0.880921,0.01166635,0.049297214,0.00488422,0.04708646],"study_design_scores_gemma":[0.00003540287,0.00015382252,0.0014701782,0.000030134728,0.000053034368,0.00036044282,0.00017246538,0.9645193,0.006462434,0.020672772,0.006042724,0.000027249653],"about_ca_topic_score_codex":0.0021068277,"about_ca_topic_score_gemma":0.0014846419,"teacher_disagreement_score":0.0050775483,"about_ca_system_score_codex":0.00077041355,"about_ca_system_score_gemma":0.0004400067,"threshold_uncertainty_score":0.016986072},"labels":[],"label_agreement":null},{"id":"W4417415492","doi":"10.53502/jraae-215072","title":"Milk temperature measurements in milking systems – own research","year":2025,"lang":"","type":"article","venue":"Journal of Research and Applications in Agricultural Engineering","topic":"Milk Quality and Mastitis in Dairy Cows","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":"Milking; Temperature measurement; Automatic milking; Maximum temperature; Work (physics); Quarter (Canadian coin)","score_opus":0.1013171449564795,"score_gpt":0.37073806167439266,"score_spread":0.26942091671791313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417415492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85048413,0.046348933,0.084325045,0.0010312898,0.00046528515,0.00013743136,0.00027690243,0.0005943343,0.016336687],"genre_scores_gemma":[0.9716627,0.007696867,0.016132379,0.0000886665,0.00032408957,0.000026230571,0.00024267101,0.00011422699,0.0037121759],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99694306,0.0007252848,0.0001340027,0.0007616048,0.0012553328,0.00018063564],"domain_scores_gemma":[0.9971602,0.0008649265,0.00023680391,0.00064518396,0.0009777496,0.00011519965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020530606,0.0003256795,0.00076638954,0.00090970023,0.0004925024,0.0013637521,0.0009780118,0.0006452568,0.001355006],"category_scores_gemma":[0.0031050872,0.00024420602,0.000553982,0.0016539107,0.0006023877,0.0018039279,0.0009012561,0.00066901435,0.0005019272],"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":[0.0008374127,0.00047002625,0.040829513,0.0012968815,0.00017047884,0.00049375015,0.0027181495,0.014107867,0.32839334,0.0048142346,0.001520429,0.60434794],"study_design_scores_gemma":[0.00005564844,0.0034814607,0.12863056,0.00042247158,0.00027084156,0.0018444497,0.0041529452,0.04329679,0.71471745,0.0054386416,0.09749068,0.00019805961],"about_ca_topic_score_codex":0.0012048383,"about_ca_topic_score_gemma":0.00058516645,"teacher_disagreement_score":0.0020530606,"about_ca_system_score_codex":0.0007836841,"about_ca_system_score_gemma":0.00049922924,"threshold_uncertainty_score":0.010857761},"labels":[],"label_agreement":null}]}