{"meta":{"query_hash":"1b7a28d5bf52","filters":{"venue":"Agris on-line Papers in Economics and Informatics"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/1b7a28d5bf52","api":"https://metacan.xera.ac/api/v1/cohort?venue=Agris+on-line+Papers+in+Economics+and+Informatics"},"results":[{"id":"W3203551110","doi":"10.7160/aol.2021.130306","title":"Possibilities of Using Social Networks as Tools for Integration of Czech Rural Areas - Survey 2021","year":2021,"lang":"en","type":"article","venue":"Agris on-line Papers in Economics and Informatics","topic":"Varied Academic Research Topics","field":"Business, Management and Accounting","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":"Provozně Ekonomická Fakulta, Česká Zemědělská Univerzita v Praze; Česká Zemědělská Univerzita v Praze","keywords":"Czech; Agriculture; The Internet; Information and Communications Technology; Business; Quarter (Canadian coin); Telecommunications; Engineering; Computer science; Geography; World Wide Web","score_opus":0.053569848634162254,"score_gpt":0.2897699919820174,"score_spread":0.23620014334785516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203551110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92060053,0.0014441486,0.016403083,0.001773568,0.00011516144,0.0016985278,0.016082726,0.00022289292,0.041659404],"genre_scores_gemma":[0.98110926,0.0005384051,0.010640778,0.000121023535,0.000019748184,0.0010260997,0.00431316,0.000023169207,0.002208261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99386483,0.0039126584,0.0004765087,0.00047178907,0.0007234909,0.0005506119],"domain_scores_gemma":[0.9890007,0.0052449387,0.0015944649,0.001038643,0.0024378372,0.0006834798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00834154,0.00036440746,0.00027711503,0.008479873,0.0008222089,0.002216744,0.00081402605,0.00043602797,0.0048639956],"category_scores_gemma":[0.018528424,0.00031881157,0.00038382472,0.0068666125,0.00032838038,0.0030164374,0.003011981,0.00037843146,0.00066100917],"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":[0.00026301717,0.00024930577,0.77686745,0.0011133658,0.00020369506,0.0002453758,0.018673513,0.002342146,0.0018585715,0.008333739,0.0074636503,0.18238626],"study_design_scores_gemma":[0.0000599214,0.00035194057,0.83552986,0.0008048467,0.00014992035,0.00024082296,0.07740208,0.014824999,0.0017677768,0.004376095,0.06437018,0.0001216295],"about_ca_topic_score_codex":0.02619655,"about_ca_topic_score_gemma":0.028586375,"teacher_disagreement_score":0.02619655,"about_ca_system_score_codex":0.0019599157,"about_ca_system_score_gemma":0.002763339,"threshold_uncertainty_score":0.05208814},"labels":[],"label_agreement":null},{"id":"W4252957959","doi":"10.7160/aol.2015.070302","title":"Crops Rotation – the Solution of Environmental Problems (a Case Study of Prince Edward Island in Canada)","year":2015,"lang":"en","type":"article","venue":"Agris on-line Papers in Economics and Informatics","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Rotation (mathematics); Mathematics; Geometry","score_opus":0.016070611758774653,"score_gpt":0.20271020174815602,"score_spread":0.18663958998938135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252957959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787764,0.0004187316,0.0005621966,0.0007113496,0.000012867973,0.00012091322,0.00015940132,0.000014364601,0.019223897],"genre_scores_gemma":[0.97617525,0.0007248166,0.0020241088,0.00014215459,0.000004968264,0.000025206757,0.0001681939,0.000014387163,0.020720962],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999522,0.00010719817,0.000011534784,0.000036764108,0.00006380532,0.00025876935],"domain_scores_gemma":[0.99964535,0.0000750574,0.00003192195,0.000020494814,0.00008941281,0.00013779508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003897491,0.00028871762,0.00016897082,0.00049566966,0.005889304,0.0016707424,0.0010827999,0.0010755012,0.0040878346],"category_scores_gemma":[0.0007650601,0.00016124047,0.00027949963,0.0017094372,0.0013548468,0.00042685395,0.0010535,0.00062803837,0.000288105],"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":[0.0012840442,0.0023256284,0.29580292,0.0012400121,0.0003726568,0.1028409,0.097206905,0.066471964,0.018261822,0.036896642,0.027465127,0.34983143],"study_design_scores_gemma":[0.00012833142,0.00073474366,0.31900787,0.00028479352,0.00013276434,0.00494529,0.47761178,0.012626289,0.0035363296,0.002484981,0.17838891,0.00011795788],"about_ca_topic_score_codex":0.9317273,"about_ca_topic_score_gemma":0.9846415,"teacher_disagreement_score":0.06827271,"about_ca_system_score_codex":0.015237341,"about_ca_system_score_gemma":0.017384151,"threshold_uncertainty_score":0.13734949},"labels":[],"label_agreement":null},{"id":"W4313489364","doi":"10.7160/aol.2022.140403","title":"Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru","year":2022,"lang":"en","type":"article","venue":"Agris on-line Papers in Economics and Informatics","topic":"AI in Service Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Chatbot; Documentation; Livestock; Productivity; Usability; Business; Continuance; Dialog box; Agricultural science; Computer science; Marketing; World Wide Web; Geography; Psychology; Economics; Biology; Economic growth","score_opus":0.015621576574979265,"score_gpt":0.25640299252975746,"score_spread":0.2407814159547782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313489364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78833824,0.002520777,0.08747102,0.0025148198,0.00021280968,0.0035330458,0.006214663,0.052229043,0.056965627],"genre_scores_gemma":[0.7969357,0.0012423989,0.13285197,0.0012798933,0.00011635243,0.003701891,0.00589558,0.0014326281,0.056543544],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978036,0.00009987909,0.000015888276,0.000039869592,0.00003287462,0.00003119966],"domain_scores_gemma":[0.99845636,0.0011299063,0.00007407615,0.00006526097,0.00011167621,0.00016273728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063463027,0.0006394522,0.00029858833,0.0005596963,0.0005357147,0.0004839614,0.0010484103,0.0007438127,0.022409473],"category_scores_gemma":[0.002339477,0.00024917978,0.00028329476,0.00027912043,0.00024066376,0.00093803025,0.0018390135,0.00042642304,0.0041060452],"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":[0.0035627452,0.0039023226,0.038891252,0.007639758,0.00011702664,0.010159198,0.06113335,0.0014987971,0.076929174,0.0016511424,0.17179824,0.6227171],"study_design_scores_gemma":[0.00124514,0.008229795,0.26161033,0.0028308977,0.0005077279,0.012588816,0.05319887,0.035395544,0.033688836,0.004102762,0.5859112,0.00069010246],"about_ca_topic_score_codex":0.0013897206,"about_ca_topic_score_gemma":0.004632204,"teacher_disagreement_score":0.022409473,"about_ca_system_score_codex":0.00025165087,"about_ca_system_score_gemma":0.00048101105,"threshold_uncertainty_score":0.074967146},"labels":[],"label_agreement":null},{"id":"W4387149542","doi":"10.7160/aol.2023.150308","title":"Correlation between the Greatest Agricultural Products Exporters to the EU: is Ukraine included?","year":2023,"lang":"en","type":"article","venue":"Agris on-line Papers in Economics and Informatics","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Taras Shevchenko National University of Kyiv","keywords":"Agriculture; European union; Ukrainian; China; Agricultural economics; International trade; Geography; Agricultural productivity; Food security; Agricultural science; Business; Economics; Environmental science","score_opus":0.016476476133291493,"score_gpt":0.20785438853323313,"score_spread":0.19137791239994162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387149542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994783,0.00049521413,0.00014030706,0.00019025175,0.000009892969,0.0000026424043,0.0005929244,0.0000052774676,0.0037806178],"genre_scores_gemma":[0.99798477,0.0003273223,0.0000981733,0.00003182579,0.000006939082,0.0000023565892,0.00064671034,0.000006987679,0.0008950301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994808,0.00008435812,0.000067218774,0.00014731467,0.000092642214,0.00012762866],"domain_scores_gemma":[0.998502,0.0003428416,0.00065400754,0.00009485088,0.0002617531,0.00014465775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070386747,0.00010384174,0.00030816585,0.0011888926,0.00038474074,0.0015160844,0.00018973152,0.00018675656,0.002673507],"category_scores_gemma":[0.0019186364,0.00008650485,0.0002971681,0.0028225658,0.00033911876,0.00068143144,0.0008681443,0.00029463053,0.00033540514],"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":[0.000100820645,0.000017504452,0.9821054,0.00006251469,0.00009878398,0.00047609975,0.0022179696,0.00018969717,0.0004188022,0.0011946857,0.00056474865,0.012552887],"study_design_scores_gemma":[8.974161e-7,0.000017033126,0.9904179,0.000041183917,0.0000323474,0.00021491709,0.0047955676,0.00013990872,0.00017983935,0.00013221515,0.0040238663,0.000004321567],"about_ca_topic_score_codex":0.013449511,"about_ca_topic_score_gemma":0.009457238,"teacher_disagreement_score":0.013449511,"about_ca_system_score_codex":0.00045469456,"about_ca_system_score_gemma":0.00089719536,"threshold_uncertainty_score":0.026742458},"labels":[],"label_agreement":null}]}