{"meta":{"query_hash":"604269ce5983","filters":{"topic":"Soil and Land Suitability Analysis"},"cohort_total":229,"direct_labels_cover":0,"predictions_cover":229,"exported":229,"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/604269ce5983","api":"https://metacan.xera.ac/api/v1/cohort?topic=Soil+and+Land+Suitability+Analysis"},"results":[{"id":"W1077738104","doi":"10.1016/j.still.2015.07.006","title":"A comprehensive support vector machine-based classification model for soil quality assessment","year":2015,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Soil quality; Support vector machine; Environmental science; Quality (philosophy); Soil classification; Soil fertility; Agricultural engineering; Soil water; Soil science; Computer science; Machine learning; Engineering","score_opus":0.2710779660446084,"score_gpt":0.4290809600968936,"score_spread":0.15800299405228524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1077738104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98140246,0.000067315275,0.0050728302,0.002317972,0.00003565876,0.00035480232,0.000070334165,0.000037007325,0.010641618],"genre_scores_gemma":[0.9974034,0.000023298653,0.0006307798,0.0001317941,0.000031976033,0.00012013324,0.0000775144,0.000011285826,0.0015698634],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773484,0.00032869034,0.00024484826,0.00044855982,0.00083113613,0.00041192668],"domain_scores_gemma":[0.9987991,0.00035755156,0.000046301713,0.00036158875,0.00013153671,0.00030394498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002490659,0.000122028694,0.00021608734,0.00006663782,0.00028849894,0.00007821718,0.0001893933,0.00008947678,0.00018976239],"category_scores_gemma":[0.00016821596,0.00009533646,0.00009058138,0.00028079763,0.0003486948,0.000111062574,0.00014632389,0.00019442508,0.00007146071],"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":[0.00095799274,0.001396153,0.8115167,0.00046085694,0.00014255778,0.000014995289,0.0045091747,0.045179356,0.010407782,0.0025719034,0.015932648,0.10690986],"study_design_scores_gemma":[0.0008261952,0.00014579373,0.11106065,0.0000035252033,0.000012695962,7.939079e-7,0.000679733,0.87960446,0.00013873959,0.0040117595,0.0033669227,0.00014872105],"about_ca_topic_score_codex":0.0018944273,"about_ca_topic_score_gemma":0.0013943858,"teacher_disagreement_score":0.8344251,"about_ca_system_score_codex":0.00022507618,"about_ca_system_score_gemma":0.00015437006,"threshold_uncertainty_score":0.3887708},"labels":[],"label_agreement":null},{"id":"W1663810233","doi":"10.5400/jts.2013.v18i3.231-239","title":"Land Suitability Study in Ultisols for Soybean Based on Soil Fauna","year":2014,"lang":"en","type":"article","venue":"Journal of Tropical Soils","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Ultisol; Environmental science; Agroforestry; Land use; Fauna; Soil water; Forestry; Geography; Soil science; Ecology; Biology","score_opus":0.01414377250498807,"score_gpt":0.2570879522055415,"score_spread":0.2429441797005534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1663810233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597144,0.000004747629,0.001862399,0.0012628401,0.00007043958,0.00016828816,0.000002500395,0.000005729967,0.00065163505],"genre_scores_gemma":[0.9992993,6.859665e-7,0.00029441793,0.00025241685,0.00008633373,0.000008600618,6.6332916e-7,0.000006344819,0.000051246912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983962,0.0002573971,0.00045976805,0.00020799036,0.00042714708,0.0002514852],"domain_scores_gemma":[0.9988636,0.0005982584,0.00014573158,0.0002203524,0.000021378457,0.00015069186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009712762,0.00011939954,0.00037345546,0.000056558583,0.000069242284,0.00003197711,0.00024898496,0.000064699,0.00036117062],"category_scores_gemma":[0.0006220449,0.000079707635,0.00023037041,0.00016363508,0.00007431353,0.000103922,0.000032359596,0.0002160597,0.000027456506],"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":[0.00023374212,0.000992022,0.9837808,0.0000070937854,0.000012087923,0.0000039104752,0.000121110184,0.0074071903,0.000053853077,0.000006124561,0.00021801815,0.007164038],"study_design_scores_gemma":[0.0020127785,0.0012840552,0.981618,0.0000083673185,0.000035469886,0.0000010873947,0.00008605843,0.013332398,0.000102053025,0.0007037051,0.00071334717,0.000102685925],"about_ca_topic_score_codex":0.00024261163,"about_ca_topic_score_gemma":0.0023564075,"teacher_disagreement_score":0.0070613516,"about_ca_system_score_codex":0.00014812301,"about_ca_system_score_gemma":0.0000133652065,"threshold_uncertainty_score":0.39545652},"labels":[],"label_agreement":null},{"id":"W1720183865","doi":"10.1016/j.ejrh.2015.05.015","title":"A GIS-based approach for supporting groundwater protection in eskers: Application to sand and gravel extraction activities in Abitibi-Témiscamingue, Quebec, Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Groundwater; Aquifer; Extraction (chemistry); Resource (disambiguation); Geology; Hydrology (agriculture); Water resource management; Environmental science; Geotechnical engineering","score_opus":0.0340648851882451,"score_gpt":0.28082132568866686,"score_spread":0.24675644050042175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1720183865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863365,0.00018064231,0.009902281,0.003261409,0.000033583736,0.00022745311,6.318952e-7,0.000002347576,0.000055140423],"genre_scores_gemma":[0.99892515,0.00001293995,0.00063446886,0.00023749395,0.000045173667,0.00007748966,0.0000022126858,0.0000041063226,0.00006094151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990621,0.000075591975,0.00032904482,0.00016829355,0.00019780235,0.00016712138],"domain_scores_gemma":[0.9995455,0.000114301874,0.00019874929,0.000051365016,0.0000299876,0.000060090217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008019622,0.00009006712,0.0002524539,0.000103620536,0.00006924041,0.000009685134,0.000056100438,0.000047804147,0.0000026142038],"category_scores_gemma":[0.00012959035,0.00006925595,0.000037504116,0.00014589672,0.00010595198,0.00015404365,0.000025355897,0.00012298477,2.2232939e-7],"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":[0.0018363943,0.0004929877,0.8316961,0.00010076097,0.00017002563,0.000028718385,0.006183829,0.13495381,0.004466834,0.000018557776,0.0030959581,0.016956052],"study_design_scores_gemma":[0.003999622,0.00090130424,0.91020274,0.00007158749,0.00013107003,0.00022652687,0.017493265,0.05589268,0.0007655031,0.0040946878,0.0057078996,0.0005130958],"about_ca_topic_score_codex":0.34454376,"about_ca_topic_score_gemma":0.8609155,"teacher_disagreement_score":0.5163717,"about_ca_system_score_codex":0.00052948267,"about_ca_system_score_gemma":0.00006526993,"threshold_uncertainty_score":0.659821},"labels":[],"label_agreement":null},{"id":"W1788548171","doi":"","title":"Caractérisation de l'état de dégradation des sols du bassin versant de Zagota (Maroc) à l'aide d'indicateurs spectraux","year":2012,"lang":"fr","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Soil and Land Suitability Analysis","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":"Université du Québec à Chicoutimi","funders":"","keywords":"Forestry; Thematic Mapper; Physics; Geology; Geography; Remote sensing; Satellite imagery","score_opus":0.20289638982397654,"score_gpt":0.4838634389456718,"score_spread":0.28096704912169523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1788548171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970345,0.020394143,0.0039657075,0.0014194648,0.0004869775,0.0003278409,0.000057905716,0.00003051135,0.0029724317],"genre_scores_gemma":[0.9699205,0.026888845,0.0014918172,0.00040788983,0.00046865005,0.00002970411,0.000026676367,0.000049342223,0.000716532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951306,0.001187525,0.00095623714,0.0005235239,0.0009156414,0.0012865029],"domain_scores_gemma":[0.99698085,0.00064589735,0.0008661046,0.0005133451,0.00006926112,0.0009245556],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005261338,0.000442245,0.0007201475,0.0004111729,0.0007328244,0.0010517524,0.0019109721,0.00028043665,0.034272894],"category_scores_gemma":[0.0009019115,0.00042896142,0.00039245863,0.0012050963,0.0006963724,0.0054010437,0.0005976186,0.0005895915,0.00020271589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012588655,0.0006591132,0.8705417,0.00008889504,0.0002076212,0.000025128635,0.002548408,0.0021106754,0.051419377,0.000042096282,0.0070582763,0.06517281],"study_design_scores_gemma":[0.00041543835,0.00001588247,0.9434701,0.00021002935,0.00046852065,0.00007163652,0.00076214684,0.0021026358,0.039703574,0.0065982593,0.0057016434,0.00048012694],"about_ca_topic_score_codex":0.05468201,"about_ca_topic_score_gemma":0.0028663257,"teacher_disagreement_score":0.07292839,"about_ca_system_score_codex":0.0023094777,"about_ca_system_score_gemma":0.0002681133,"threshold_uncertainty_score":0.9999853},"labels":[],"label_agreement":null},{"id":"W1809514787","doi":"10.1007/978-1-4419-0209-2_23","title":"Gis-Based Crop Support System For Common Oatand Naked Oat in China","year":2009,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"China; Crop; Geography; Forestry; Archaeology","score_opus":0.005629580296001201,"score_gpt":0.2333329201979199,"score_spread":0.2277033399019187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1809514787","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012013483,0.004380834,0.0027020166,0.004194556,0.00012984595,0.0019436182,0.000120967365,0.00043303525,0.97408164],"genre_scores_gemma":[0.9879006,0.0044089654,0.0021830462,0.00040095916,0.000006782142,0.00022996381,0.00073462474,0.000016167136,0.004118901],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874276,0.00002769657,0.0007232699,0.00017488559,0.0001537002,0.00017768622],"domain_scores_gemma":[0.9987486,0.00008790865,0.00037007604,0.0007408583,0.000020547846,0.000032011965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042291675,0.00019648444,0.00037874974,0.00041655853,0.00013510995,0.000032319524,0.0005168942,0.0003915727,0.0001443126],"category_scores_gemma":[0.00003927471,0.0001870951,0.000057786892,0.00018961397,0.00034336306,0.0006662633,0.00013843551,0.00035767292,0.000047256646],"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":[0.00010474474,0.000048236507,0.008678242,0.00018029803,0.000009249465,0.000001076635,0.00046980302,0.0022326475,0.000002664471,0.08061606,0.000118932665,0.90753806],"study_design_scores_gemma":[0.00157939,0.00018438762,0.0028553987,0.0002585193,0.00002942488,0.000011148809,0.0005708673,0.008334068,0.000085469524,0.06987324,0.915735,0.00048309987],"about_ca_topic_score_codex":0.00008214452,"about_ca_topic_score_gemma":0.0019465074,"teacher_disagreement_score":0.9758871,"about_ca_system_score_codex":0.00028038697,"about_ca_system_score_gemma":0.000018210412,"threshold_uncertainty_score":0.7629517},"labels":[],"label_agreement":null},{"id":"W1876554736","doi":"10.11606/d.3.2010.tde-17082010-111747","title":"Geovisualização analítica: desenvolvimento de um protótipo de um sistema analítico de informações para a gestão da coleta seletiva de resíduos urbanos recicláveis.","year":2010,"lang":"pt","type":"dissertation","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Computer science; Geovisualization; Visualization","score_opus":0.019676386911680298,"score_gpt":0.3002186431096597,"score_spread":0.2805422561979794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1876554736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849812,0.00047022224,0.003809945,0.0011003279,0.00020074459,0.0020305347,0.0001375306,0.00021196522,0.0070575234],"genre_scores_gemma":[0.9560146,0.0005060345,0.004526254,0.0019167218,0.00021284082,0.00093420007,0.0011399055,0.00014979424,0.034599677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99073535,0.0011380126,0.0019473375,0.0016631058,0.0016315253,0.002884695],"domain_scores_gemma":[0.9948168,0.0008148096,0.00088134507,0.0016759888,0.00018173379,0.001629317],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0037588268,0.0013411557,0.001586584,0.0004984949,0.0010969497,0.000786375,0.0017451408,0.0019349512,0.009440498],"category_scores_gemma":[0.0012969738,0.0012142842,0.0010163785,0.0016899873,0.0006805161,0.00073369796,0.00036893296,0.001862648,0.00083972036],"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":[0.0013522677,0.0021258537,0.9217311,0.0017015965,0.0014317782,0.00023223895,0.021283876,0.0021407483,0.020435723,0.0004817944,0.0061666877,0.020916337],"study_design_scores_gemma":[0.00306045,0.001470245,0.6889868,0.0009239574,0.0042390176,0.00023912064,0.029611422,0.20012721,0.03071989,0.00150601,0.034509532,0.004606398],"about_ca_topic_score_codex":0.02502567,"about_ca_topic_score_gemma":0.051142864,"teacher_disagreement_score":0.23274435,"about_ca_system_score_codex":0.002266666,"about_ca_system_score_gemma":0.001262705,"threshold_uncertainty_score":0.99993825},"labels":[],"label_agreement":null},{"id":"W1968713473","doi":"10.5539/mas.v5n4p177","title":"GIS- based Land Suitability Analysis Using AHP for Public Parks Planning in Larkana City","year":2011,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Geographic information system; Land use; Land-use planning; Population; Urban planning; Computer science; Environmental resource management; Environmental planning; Operations research; Geography; Civil engineering; Environmental science; Engineering; Cartography; Sociology","score_opus":0.07462890171886076,"score_gpt":0.2692566765898269,"score_spread":0.1946277748709661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968713473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8132407,0.0000072845432,0.17962092,0.0000391184,0.000020226758,0.00021476037,0.000009571638,0.000031023705,0.006816375],"genre_scores_gemma":[0.9929697,3.4231107e-7,0.0067901774,0.00014703326,0.0000087468015,0.00004979407,0.000007350967,0.0000067662413,0.000020099267],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99742615,0.00004936336,0.00033829652,0.00093286764,0.00057337206,0.00067992666],"domain_scores_gemma":[0.99889255,0.00013230844,0.00010084296,0.00063213764,0.000024175522,0.00021797362],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032001922,0.00017551433,0.0003341311,0.00029287598,0.00044650686,0.000100403275,0.00070729305,0.00008107229,0.0009961232],"category_scores_gemma":[0.0001577233,0.00015120745,0.00014919421,0.0029166783,0.00078553107,0.00036231772,0.00020766654,0.00013832752,0.000014541882],"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":[0.00003445471,0.00014770872,0.9757929,0.0000056159515,0.000017052364,0.0000011666006,0.0012586844,0.017173583,0.0032871272,0.000036856018,0.0000031515503,0.0022417014],"study_design_scores_gemma":[0.00020296265,0.000007649224,0.39970008,0.0000013856993,0.00006153775,1.8732408e-7,0.00013138936,0.5968563,0.0004523965,0.0024078155,0.00002355403,0.00015475426],"about_ca_topic_score_codex":0.0020723871,"about_ca_topic_score_gemma":0.003794275,"teacher_disagreement_score":0.5796827,"about_ca_system_score_codex":0.00031226818,"about_ca_system_score_gemma":0.00007640317,"threshold_uncertainty_score":0.9999171},"labels":[],"label_agreement":null},{"id":"W1969478008","doi":"10.2136/sssaj2005.0005br","title":"Soil Chemistry with Applied Mathematics","year":2006,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Government (linguistics); Publishing; Chemistry; Political science; Public administration; Philosophy; Law","score_opus":0.003951236905135125,"score_gpt":0.19199315820689639,"score_spread":0.18804192130176126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969478008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9286614,0.000018870376,0.005228461,0.0005200026,0.00002132898,0.000042195683,0.0000018317342,0.000021593802,0.06548432],"genre_scores_gemma":[0.96715856,0.000034517012,0.032011624,0.0001866268,0.000070934424,0.000002935629,0.0000010369397,0.000008172485,0.000525626],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99795455,0.000007712705,0.00029843237,0.00026148304,0.00106999,0.00040784496],"domain_scores_gemma":[0.9992331,0.000040411425,0.000286348,0.00024785643,0.00003927847,0.00015298938],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006825538,0.00013407508,0.00022818336,0.000014954882,0.00053237606,0.00007912465,0.0005269505,0.00004175229,0.0019295035],"category_scores_gemma":[0.000017587503,0.000091594615,0.00019212342,0.0010887354,0.0032396128,0.00023655727,0.00011602713,0.00022151218,0.00004759597],"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":[0.0000678307,0.001921044,0.18379377,0.00014465982,0.0001676585,0.0000112512425,0.011363795,0.14202929,0.5459698,0.000092654846,0.026913945,0.087524325],"study_design_scores_gemma":[0.006226599,0.00090460497,0.26851183,0.00025270632,0.0008046427,0.0012060358,0.11052901,0.24586445,0.28821686,0.033942524,0.039282206,0.004258532],"about_ca_topic_score_codex":0.00055604236,"about_ca_topic_score_gemma":0.000020495934,"teacher_disagreement_score":0.25775293,"about_ca_system_score_codex":0.00016460664,"about_ca_system_score_gemma":0.000108343134,"threshold_uncertainty_score":0.999473},"labels":[],"label_agreement":null},{"id":"W1970083557","doi":"10.2495/sdp-v9-n1-119-134","title":"Resource-based zoning map for sustainable industrial development in north sinai using remote sensing and multicriteria evaluation","year":2014,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Zoning; Sustainable development; Environmental resource management; Resource (disambiguation); Environmental planning; Remote sensing; Geography; Computer science; Environmental science; Engineering; Civil engineering; Political science","score_opus":0.032513430191754254,"score_gpt":0.2715488055038379,"score_spread":0.23903537531208366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970083557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785898,0.00007297516,0.020737266,0.00016559134,0.0000790795,0.0001966814,2.9216753e-7,0.000005054613,0.00015327847],"genre_scores_gemma":[0.97002786,0.000001048587,0.029593304,0.000090534326,0.00010277744,0.0000014584882,0.00001716917,0.000009322112,0.00015650693],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983092,0.00010849622,0.0005381893,0.00020666834,0.00050795975,0.00032946555],"domain_scores_gemma":[0.9990674,0.00023209005,0.00026660145,0.000051856958,0.00029180176,0.00009021014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002935871,0.00014169452,0.00021420058,0.0003377513,0.000257362,0.00017531656,0.00013024833,0.00007223275,0.000027496799],"category_scores_gemma":[0.0007454404,0.00013130158,0.00003213506,0.00018528622,0.000048247002,0.0003510598,0.00011922233,0.00015175779,4.6426854e-7],"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":[0.001249593,0.00009126623,0.5053478,0.00017039303,0.00020160759,0.00063427235,0.027246471,0.11480144,0.00018159556,0.00005641401,0.00022408339,0.34979507],"study_design_scores_gemma":[0.0070752157,0.00013356504,0.18390056,0.00049555075,0.00010344063,0.000080706726,0.053461578,0.66312015,0.0013774144,0.0009811738,0.08857604,0.0006945932],"about_ca_topic_score_codex":0.00026157187,"about_ca_topic_score_gemma":0.00009510702,"teacher_disagreement_score":0.54831874,"about_ca_system_score_codex":0.0007468892,"about_ca_system_score_gemma":0.00021236307,"threshold_uncertainty_score":0.53543234},"labels":[],"label_agreement":null},{"id":"W1972314702","doi":"10.1590/s0100-06832008000700025","title":"Sistema de informação geográfica como apoio ao levantamento detalhado de solos do Vale dos Vinhedos","year":2008,"lang":"pt","type":"article","venue":"Revista Brasileira de Ciência do Solo","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Geology; Humanities; Physics; Mineralogy; Geography; Geomorphology; Art","score_opus":0.022187427048585208,"score_gpt":0.25591021282566495,"score_spread":0.23372278577707975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972314702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872236,0.0031156281,0.0018589341,0.00026968305,0.00015813984,0.00093091145,0.00018085324,0.00020329608,0.0060589556],"genre_scores_gemma":[0.9922461,0.0013671181,0.0005842656,0.0015552231,0.00026990316,0.0001312481,0.00006705176,0.000087755245,0.0036913676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9921976,0.00090228,0.0016683225,0.0013638346,0.0013377304,0.0025302658],"domain_scores_gemma":[0.99548024,0.0006018888,0.00066713034,0.0018538937,0.000083489904,0.0013133681],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026156537,0.0010247694,0.0015081115,0.00026187964,0.001438125,0.0006763403,0.001669317,0.00078984327,0.0069375043],"category_scores_gemma":[0.00067167595,0.0009840688,0.0012458956,0.0012331236,0.0011241324,0.00079743547,0.00077228266,0.0010159928,0.0031616671],"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":[0.0001671593,0.00075845845,0.9765808,0.00060226396,0.00035275132,0.00032892276,0.007264517,0.0008401757,0.0019484411,0.00017736298,0.0049046935,0.006074472],"study_design_scores_gemma":[0.0019900573,0.0004890138,0.95022213,0.0005380311,0.0010549515,0.00093869196,0.0035660176,0.011438463,0.0011603849,0.00011794261,0.026506077,0.0019782102],"about_ca_topic_score_codex":0.0014615005,"about_ca_topic_score_gemma":0.0004642032,"teacher_disagreement_score":0.026358625,"about_ca_system_score_codex":0.002357152,"about_ca_system_score_gemma":0.0005285768,"threshold_uncertainty_score":0.9998619},"labels":[],"label_agreement":null},{"id":"W1978674305","doi":"10.5539/jas.v5n1p275","title":"Spatial Relationships of Landscape Attributes and Wheat Yield Patterns","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Agriculture, Faisalabad; Pakistan Science Foundation","keywords":"Silt; Environmental science; Precision agriculture; Soil test; Soil map; Fertilizer; Spatial variability; Sowing; Elevation (ballistics); Agriculture; Soil science; Agronomy; Soil water; Mathematics; Geography; Geology; Statistics","score_opus":0.020646443779517274,"score_gpt":0.21533355175366936,"score_spread":0.1946871079741521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978674305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984538,0.000112523696,0.0000932369,0.00053883815,0.00008661585,0.000024611294,0.0000022594113,0.000002282923,0.00068583974],"genre_scores_gemma":[0.9996375,0.000031404565,0.00018238502,0.000016612183,0.00008049315,3.0044484e-7,4.355325e-7,8.119312e-7,0.00005007665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990293,0.000034545123,0.00023856203,0.000079412464,0.00043793948,0.00018025722],"domain_scores_gemma":[0.9994332,0.00012475338,0.0001723917,0.00006182756,0.000040770654,0.00016705674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095395686,0.000059188947,0.00012949198,0.000033267777,0.00015910741,0.000026159272,0.00018186103,0.000028826653,0.00037273174],"category_scores_gemma":[0.00027337665,0.00002936259,0.000056403136,0.00036853735,0.00019702374,0.0008222829,0.00008223366,0.00012247272,0.00000821339],"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":[0.0000032972248,0.000032871372,0.98562413,0.000002221446,0.000003760323,2.7156491e-7,0.00055417913,0.00009139107,0.012314088,0.000011926326,0.00021209758,0.001149746],"study_design_scores_gemma":[0.00006793321,0.00004974149,0.99656826,0.000012681131,0.000022686325,0.000048710855,0.0007779609,0.000034196193,0.002262806,0.000027393098,0.00007530187,0.000052308307],"about_ca_topic_score_codex":0.00024935897,"about_ca_topic_score_gemma":0.00017756375,"teacher_disagreement_score":0.01094413,"about_ca_system_score_codex":0.000037825273,"about_ca_system_score_gemma":0.0000073826386,"threshold_uncertainty_score":0.40811512},"labels":[],"label_agreement":null},{"id":"W1983738395","doi":"10.4141/cjss07053","title":"A relative weight model for soil productivity assessment","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Missouri","keywords":"Loess plateau; Constraint (computer-aided design); Productivity; Soil science; Environmental science; Loess; Agricultural engineering; Measure (data warehouse); Weight function; Mathematics; Computer science; Statistics; Geology; Data mining; Engineering","score_opus":0.02219462415212456,"score_gpt":0.23818278956778283,"score_spread":0.21598816541565827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983738395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812996,0.00004695652,0.009433428,0.0017138754,0.00017011105,0.00009262824,0.0000091732745,0.0000039062147,0.007230359],"genre_scores_gemma":[0.9954634,0.000010148043,0.0032878,0.00013296462,0.00006148362,0.000004898476,4.0570356e-7,0.0000050762224,0.0010338557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846774,0.00003286404,0.00027164267,0.00027777886,0.0005041235,0.0004458545],"domain_scores_gemma":[0.9987073,0.00005311965,0.00016740666,0.00021766112,0.00011311704,0.0007414159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015635116,0.00010409139,0.00019120285,0.00015515035,0.0008900932,0.00004142848,0.0005178204,0.000038867496,0.00019062984],"category_scores_gemma":[0.0003596245,0.00008046377,0.00012992187,0.00072453567,0.001516976,0.0010470407,0.000033188146,0.00018340952,0.000013889157],"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":[0.000017825545,0.00008750363,0.82963234,0.000007200949,0.000028601915,0.00005776128,0.005367146,0.15080969,0.0010067929,0.0006884488,0.003362701,0.008933972],"study_design_scores_gemma":[0.00054612604,0.00020071544,0.572526,0.00002048616,0.00006049005,0.0002307091,0.00025717792,0.40912858,0.00089866994,0.012503277,0.003269514,0.0003582622],"about_ca_topic_score_codex":0.010910718,"about_ca_topic_score_gemma":0.10023358,"teacher_disagreement_score":0.25831887,"about_ca_system_score_codex":0.00075824297,"about_ca_system_score_gemma":0.002062362,"threshold_uncertainty_score":0.99567574},"labels":[],"label_agreement":null},{"id":"W1986009370","doi":"10.4000/vertigo.10368","title":"Modélisation géomatique par évaluation multicritère pour la prospection des sites d’agriculture urbaine à Ouagadougou","year":2010,"lang":"fr","type":"article","venue":"VertigO","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Prospection; Geography; Art; Archaeology","score_opus":0.011968934291867177,"score_gpt":0.22651801305715338,"score_spread":0.2145490787652862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986009370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880023,0.00044295192,0.0054151434,0.0032648612,0.00035656165,0.00029326288,0.0000186199,0.00008061745,0.0021256846],"genre_scores_gemma":[0.9855806,0.00012181387,0.008021784,0.00009455671,0.00030751,0.000044291308,0.000061190025,0.000015583722,0.005752658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982087,0.00028830496,0.00032459002,0.00044205762,0.0004020963,0.00033427807],"domain_scores_gemma":[0.9992171,0.00015928899,0.000104419356,0.00029393725,0.00007216128,0.00015312542],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00067486026,0.00023422367,0.00021026503,0.000048167498,0.00036191722,0.0001357546,0.00016175547,0.00034742596,0.0034756633],"category_scores_gemma":[0.00053695246,0.00018994602,0.0001631449,0.0004523794,0.00038767856,0.0006523803,0.0000617778,0.00038476777,0.0008128954],"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":[0.00002447309,0.0005319795,0.7191626,0.000083590276,0.00005106078,0.000005271193,0.0075511704,0.009286576,0.22813106,0.0014990247,0.0022159687,0.031457264],"study_design_scores_gemma":[0.0004545176,0.000052642154,0.77072877,0.000038229755,0.00017044171,0.000024129293,0.00046221356,0.19288796,0.01837225,0.008569798,0.00793494,0.00030407764],"about_ca_topic_score_codex":0.0021178324,"about_ca_topic_score_gemma":0.010725701,"teacher_disagreement_score":0.2097588,"about_ca_system_score_codex":0.00018667876,"about_ca_system_score_gemma":0.000030412766,"threshold_uncertainty_score":0.9999651},"labels":[],"label_agreement":null},{"id":"W1989091241","doi":"10.1097/00010694-200001000-00005","title":"URBAN SOIL MANAGEMENT: A GROWING CONCERN","year":2000,"lang":"en","type":"article","venue":"Soil Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":372,"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":"Soil water; Context (archaeology); Environmental science; Soil functions; Land use; Urban area; Geography; Environmental planning; Environmental protection; Soil science; Ecology; Soil fertility; Soil biodiversity; Biology","score_opus":0.008429582305783652,"score_gpt":0.21448675641722234,"score_spread":0.2060571741114387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989091241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6760027,0.000022317126,0.000018129951,0.0002573316,0.00004970173,0.000045989702,7.689622e-7,0.000049348524,0.3235537],"genre_scores_gemma":[0.9873918,0.000031689524,0.00015375033,0.000671038,0.000034104345,0.000010501075,0.0000010000698,0.000005319382,0.011700797],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980574,0.000029264113,0.00016850755,0.0005432412,0.00070146524,0.0005000693],"domain_scores_gemma":[0.9993507,0.000021781896,0.00002697353,0.0004116205,0.000006246538,0.0001826541],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00070905464,0.00011793262,0.000119099495,0.000046339996,0.0005449478,0.000105140745,0.00070563366,0.00002975774,0.011556875],"category_scores_gemma":[0.00001912096,0.00009673434,0.000078243305,0.0013125965,0.0011292108,0.0008073598,0.0001849324,0.0000851354,0.0029880933],"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":[0.000024901321,0.00017679262,0.37785712,0.00001539076,0.000023847602,0.000048815735,0.0026697754,0.0100305695,0.0018386937,0.001281296,0.0051044454,0.60092837],"study_design_scores_gemma":[0.0011662294,0.00012853116,0.7493611,0.00004606118,0.0001230656,0.000026283704,0.001762364,0.045854412,0.004314664,0.007140673,0.18881512,0.0012615117],"about_ca_topic_score_codex":0.0017645295,"about_ca_topic_score_gemma":0.0003299869,"teacher_disagreement_score":0.59966683,"about_ca_system_score_codex":0.00014149612,"about_ca_system_score_gemma":0.000014304727,"threshold_uncertainty_score":0.9977882},"labels":[],"label_agreement":null},{"id":"W1995376371","doi":"10.5589/m04-023","title":"Utilisation d'une classification structurale OASIS pour la cartographie d'unités de paysage dans une région représentative du Liban","year":2004,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Polygon (computer graphics); Geography; Thematic map; Terrain; Cartography; Land cover; Land use; Remote sensing; Computer science; Engineering","score_opus":0.016618636994491214,"score_gpt":0.2344835268913535,"score_spread":0.21786488989686228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995376371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93617696,0.00034630517,0.030581363,0.030591985,0.00046085904,0.00009217546,0.000017541446,0.000009140127,0.0017236657],"genre_scores_gemma":[0.97420406,0.00022576844,0.02467325,0.00023329095,0.00028474847,3.0402415e-8,0.000012224951,0.000024544433,0.0003420586],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977655,0.0005124172,0.0005887665,0.00029875975,0.0003244474,0.0005100993],"domain_scores_gemma":[0.99818236,0.00014090035,0.00044595727,0.0002783719,0.00012639073,0.0008260316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090242125,0.00023363902,0.00032687423,0.0003155092,0.0004942707,0.00014692779,0.00019182943,0.00021877274,0.00014628415],"category_scores_gemma":[0.00031605127,0.000230468,0.0003086396,0.0012378051,0.00073966343,0.00044684045,0.000015359974,0.0004796896,0.000025310417],"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":[0.000033428507,0.000023897675,0.06130079,0.000031085914,0.00016306071,0.000870746,0.048298318,0.008949084,0.008556351,0.00018622197,0.00042485274,0.8711622],"study_design_scores_gemma":[0.0012164845,0.00013753292,0.87845093,0.00047380466,0.0006410256,0.0029559212,0.043122813,0.032145552,0.0054361727,0.023686,0.011198366,0.0005353894],"about_ca_topic_score_codex":0.5111527,"about_ca_topic_score_gemma":0.6688637,"teacher_disagreement_score":0.87062675,"about_ca_system_score_codex":0.0015993903,"about_ca_system_score_gemma":0.0006408891,"threshold_uncertainty_score":0.9398212},"labels":[],"label_agreement":null},{"id":"W2013637130","doi":"10.5539/jas.v5n2p95","title":"Impacts of Soil and Water Conservation on Land Suitability to Crops: The Case of Anjeni Watershed, Northwest Ethiopia","year":2013,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Amhara Regional Agricultural Research Institute; National Center of Competence in Research Chemical Biology","keywords":"Eragrostis; Environmental science; Watershed; Agronomy; Crop; Soil conservation; Land use; Hordeum vulgare; Soil water; Agroforestry; Geography; Poaceae; Biology; Agriculture; Soil science; Ecology","score_opus":0.008822634021664872,"score_gpt":0.21848595173893748,"score_spread":0.20966331771727262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013637130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959002,0.000007796793,0.0000027092287,0.00383286,0.000039309598,0.000101735735,0.0000027659767,0.0000014851478,0.00011111616],"genre_scores_gemma":[0.9996985,0.000006297369,0.00010194858,0.00014501461,0.000017292195,8.8354307e-7,4.806483e-7,0.0000010722317,0.00002846654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988721,0.00006916682,0.00034886276,0.00013768878,0.0003797749,0.00019241725],"domain_scores_gemma":[0.9992869,0.00010779159,0.0001619306,0.00013296066,0.00015616843,0.00015427318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011759194,0.00008313688,0.00017411805,0.000034111257,0.00015703522,0.000054215718,0.00024480483,0.000029698149,0.0002442527],"category_scores_gemma":[0.0001863228,0.000028498429,0.00006755842,0.00037876156,0.0005438097,0.0005289823,0.00010944791,0.00010491306,0.000017202614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022599435,0.000068252826,0.87991893,0.000010827944,0.0000091959755,0.000006628136,0.0036769942,0.00146094,0.11316659,0.000005401419,0.00016963165,0.0014839781],"study_design_scores_gemma":[0.00012334062,0.0002179546,0.9740613,0.0000116456495,0.000017418773,0.00018877495,0.0013770392,0.00006878349,0.023774711,0.000077881254,0.000025241678,0.000055908014],"about_ca_topic_score_codex":0.024231987,"about_ca_topic_score_gemma":0.010964209,"teacher_disagreement_score":0.09414234,"about_ca_system_score_codex":0.00006472836,"about_ca_system_score_gemma":0.000013102886,"threshold_uncertainty_score":0.9822657},"labels":[],"label_agreement":null},{"id":"W2023579583","doi":"10.2495/sdp-v5-n1-1-12","title":"Cartographic modeling of land suitability for industrial development in the Egyptian desert","year":2010,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Linköpings Universitet","keywords":"Desert (philosophy); Geography; Land use; Environmental planning; Environmental resource management; Civil engineering; Environmental science; Engineering; Political science","score_opus":0.02568475495438823,"score_gpt":0.25635372347205465,"score_spread":0.2306689685176664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023579583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824834,0.000033320848,0.0009272688,0.00024870335,0.00012891318,0.00010595983,7.772297e-7,0.0000018873486,0.00030480564],"genre_scores_gemma":[0.99715894,0.0000028979591,0.0026792074,0.000042597447,0.00006133625,0.000008457035,0.000005795746,0.000003167528,0.00003760193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988369,0.0000320934,0.0004645673,0.00010690592,0.0003843526,0.00017521445],"domain_scores_gemma":[0.99944216,0.00017408223,0.00014972335,0.00005509462,0.00013501226,0.000043946555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002132704,0.00008251542,0.0001486026,0.00016334499,0.00010007914,0.000046816098,0.00030633202,0.00006105827,0.000046734356],"category_scores_gemma":[0.00029218645,0.000055920806,0.000048104455,0.00016491573,0.00004959175,0.00020661006,0.00007021295,0.00021636704,3.4423383e-7],"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":[0.00015469176,0.00007193403,0.9723296,0.0000122206,0.000057552505,0.000046633882,0.014167039,0.0054576215,0.00005720627,0.00008534676,0.00004034513,0.007519784],"study_design_scores_gemma":[0.0036203451,0.00012731778,0.87405723,0.00013900019,0.0000619084,0.000102478225,0.062761076,0.013620496,0.0012993766,0.004138355,0.03958842,0.00048398602],"about_ca_topic_score_codex":0.00018551684,"about_ca_topic_score_gemma":0.0003275597,"teacher_disagreement_score":0.09827239,"about_ca_system_score_codex":0.0000700076,"about_ca_system_score_gemma":0.00011608609,"threshold_uncertainty_score":0.22803843},"labels":[],"label_agreement":null},{"id":"W2035336412","doi":"10.5539/mas.v8n4p50","title":"GIS-Based Soil Erosion Modeling for Assessing Land Suitability in the Urban Watershed of Tallo River, South Sulawesi, Indonesia","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Direktorat Jenderal Pendidikan Tinggi; Universitas Hasanuddin","keywords":"Watershed; Environmental science; Hydrology (agriculture); Universal Soil Loss Equation; Land use; Erosion; Soil conservation; Geographic information system; Soil quality; Land cover; Water resource management; Soil loss; Soil water; Soil science; Remote sensing; Geography; Geology; Agriculture; Ecology","score_opus":0.017959205517972567,"score_gpt":0.2327095725286375,"score_spread":0.21475036701066494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035336412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7650777,0.0000037786633,0.2341648,0.00009106133,0.000017394794,0.00023485953,0.0000029692408,0.0000156155,0.00039179128],"genre_scores_gemma":[0.9982934,3.0141217e-7,0.0014778164,0.00014501871,0.000014433063,0.000049797647,0.0000066608172,0.0000074308723,0.000005114851],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978195,0.00008561037,0.00033435837,0.00060259923,0.0007123059,0.00044566928],"domain_scores_gemma":[0.99907005,0.0001829632,0.00009844977,0.000545691,0.00002343906,0.00007943104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038489967,0.0001553195,0.00024964055,0.00007685069,0.00039212275,0.000102444705,0.0007583112,0.00006624229,0.000019206223],"category_scores_gemma":[0.000088690445,0.00010116145,0.00008916411,0.00060262776,0.000854019,0.0002478569,0.00013471347,0.0001224237,0.000005617452],"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":[0.00007186933,0.0001690486,0.5901157,0.000030474666,0.000002037968,2.0841266e-7,0.00612401,0.3094425,0.09008533,0.00007885285,0.0000025737395,0.0038773783],"study_design_scores_gemma":[0.00048176394,0.000023338902,0.09278092,0.000006195733,0.000014254561,1.8122228e-7,0.00030681072,0.90007466,0.00229843,0.0038730132,0.000004530388,0.00013591365],"about_ca_topic_score_codex":0.00079687167,"about_ca_topic_score_gemma":0.00049501937,"teacher_disagreement_score":0.59063214,"about_ca_system_score_codex":0.000111248235,"about_ca_system_score_gemma":0.000042438864,"threshold_uncertainty_score":0.4125244},"labels":[],"label_agreement":null},{"id":"W2037041375","doi":"10.5194/isprsarchives-xl-2-w3-255-2014","title":"MEASURING LAND USES ACCESSIBILITY BY USING FUZZY MAJORITY GIS-BASED MULTICRITERIA DECISION ANALYSIS CASE STUDY: MALAYER CITY","year":2014,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Plan (archaeology); Ranking (information retrieval); Index (typography); Geographic information system; Order (exchange); Fuzzy logic; Business; Distribution (mathematics); Land-use planning; Space (punctuation); Computer science; Land use; Environmental economics; Geography; Civil engineering; Economics; Engineering; World Wide Web","score_opus":0.028760309690200474,"score_gpt":0.2790289373920294,"score_spread":0.2502686277018289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037041375","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41190478,0.0000067595906,0.5854317,0.0005537506,0.00045816728,0.00036084844,0.000059876907,0.000022733768,0.0012013908],"genre_scores_gemma":[0.9959003,0.000018182569,0.0034166852,0.0005440715,0.00006450718,3.8399975e-7,0.000024839273,0.000008280937,0.000022795857],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99476767,0.00061183225,0.0014771168,0.0005520471,0.002106211,0.00048514848],"domain_scores_gemma":[0.99612737,0.0014999653,0.0013596225,0.0006400838,0.00018271184,0.00019026911],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0029083493,0.00041512802,0.0005397041,0.0007361643,0.0018124247,0.0008817972,0.0014732209,0.000089616966,0.00003073411],"category_scores_gemma":[0.0010980987,0.00025511414,0.0004967272,0.0016055295,0.002640636,0.00060745596,0.0011265684,0.0003722803,0.0000023864177],"study_design_candidate":"simulation_or_modeling","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":[0.00015828051,0.00006083066,0.040146485,0.00001950183,0.00015533074,8.0726574e-7,0.0024196643,0.020563137,0.00092584436,2.7012464e-7,0.000010019921,0.93553984],"study_design_scores_gemma":[0.00080968475,0.000111209934,0.033295773,0.000092891096,0.0002008919,0.00009798985,0.0019803972,0.9591859,0.002034463,0.0014818887,0.00041192758,0.0002969827],"about_ca_topic_score_codex":0.945551,"about_ca_topic_score_gemma":0.6153863,"teacher_disagreement_score":0.9386228,"about_ca_system_score_codex":0.00008283802,"about_ca_system_score_gemma":0.00009600626,"threshold_uncertainty_score":0.9999901},"labels":[],"label_agreement":null},{"id":"W2042181947","doi":"10.5539/jgg.v5n3p65","title":"Land Suitability Assessment for Crop Cultivation by Using Remote Sensing and GIS","year":2013,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agricultural land; Agriculture; Environmental science; West bengal; Land use; Agricultural engineering; Soil texture; Crop; Agroforestry; Geography; Remote sensing; Soil water; Soil science; Forestry; Civil engineering; Engineering","score_opus":0.00891993411901776,"score_gpt":0.24918612986616173,"score_spread":0.24026619574714397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042181947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98540765,0.00015240892,0.013125796,0.0010333369,0.000042224656,0.00008647403,0.0000020591826,0.0000027011208,0.00014732467],"genre_scores_gemma":[0.98993015,0.00006688294,0.009828019,0.00013005009,0.000025896372,2.4180724e-7,0.0000021171495,0.0000025475401,0.000014114158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992906,0.00007878429,0.0002481003,0.00013483668,0.00009813615,0.00014952885],"domain_scores_gemma":[0.9995305,0.00012614392,0.00015341894,0.000069233356,0.000042179716,0.00007852162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036987,0.00007516672,0.00019415353,0.000053884218,0.00014495275,0.000028577322,0.000040877974,0.000066858745,0.00017087466],"category_scores_gemma":[0.000051935367,0.0000545748,0.000081958846,0.00009812608,0.00022880713,0.00017756154,0.00003862165,0.00009364831,5.2524047e-7],"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":[0.000017491084,0.000021018914,0.9068741,0.000008824943,0.000036380003,6.899107e-7,0.00009322227,0.000068408175,0.0014189098,0.0000018798072,0.00013144847,0.0913276],"study_design_scores_gemma":[0.0004849437,0.00017171276,0.9694207,0.0000061142164,0.000065796434,0.00005542813,0.00014465976,0.019033423,0.00004909331,0.00929811,0.0011824315,0.000087605455],"about_ca_topic_score_codex":0.0032201516,"about_ca_topic_score_gemma":0.00023271813,"teacher_disagreement_score":0.091239996,"about_ca_system_score_codex":0.00001683526,"about_ca_system_score_gemma":0.0000050926255,"threshold_uncertainty_score":0.48679274},"labels":[],"label_agreement":null},{"id":"W2047335842","doi":"10.1007/s10109-013-0194-3","title":"Locally weighted linear combination in a vector geographic information system","year":2013,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neighbourhood (mathematics); Contiguity; Weighting; Geographic information system; Geography; Vulnerability (computing); Data mining; Index (typography); Computer science; Decision support system; Vulnerability assessment; Cartography; Econometrics; Mathematics; Computer security","score_opus":0.0038965102235018726,"score_gpt":0.18065839702115555,"score_spread":0.17676188679765367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047335842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967847,0.00009988802,0.001202289,0.00038077528,0.00028269467,0.00025933355,0.0000018101684,0.000021557456,0.0009669761],"genre_scores_gemma":[0.99974823,0.000020592313,0.00008770036,0.000047016652,0.000056123914,0.000019381176,0.0000039193637,0.0000049225782,0.000012134944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976829,0.00022589917,0.0010193995,0.00011549763,0.0007119405,0.0002443604],"domain_scores_gemma":[0.9989949,0.00009109681,0.00044434742,0.00016845153,0.000119797776,0.00018144042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011200745,0.00013211761,0.0003632997,0.00041031468,0.000076170945,0.00010712654,0.000259827,0.00015337877,0.00021803065],"category_scores_gemma":[0.00006726285,0.000092673174,0.00022979533,0.0012304389,0.000105231884,0.00097086205,0.000044756347,0.0002951919,0.00019601888],"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":[0.000031953165,0.00012974562,0.9949385,0.00007041745,0.000048233866,0.0000067912747,0.0001819729,0.0016311608,0.00006358827,0.00033836445,0.00018236566,0.002376916],"study_design_scores_gemma":[0.00089366117,0.00021835527,0.92495227,0.00012543383,0.000035982866,0.000066499226,0.0007407788,0.0712106,0.000006228693,0.00018583157,0.0014162507,0.00014811494],"about_ca_topic_score_codex":0.004594695,"about_ca_topic_score_gemma":0.00010666791,"teacher_disagreement_score":0.069986224,"about_ca_system_score_codex":0.00012619553,"about_ca_system_score_gemma":0.000012062674,"threshold_uncertainty_score":0.6945835},"labels":[],"label_agreement":null},{"id":"W2050696634","doi":"10.5539/jsd.v4n4p222","title":"Infiltration Rate Assessment of Coastal Plain (Ultisols) Soils for Sustainable Crop Production in the Frontiers of Calabar-Nigeria","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Infiltrometer; Infiltration (HVAC); Environmental science; Soil water; Ultisol; Hydrology (agriculture); Soil science; Hydraulic conductivity; Geology; Geography","score_opus":0.013066252852441895,"score_gpt":0.23713932003222277,"score_spread":0.22407306717978087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050696634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932812,0.000044989276,0.0050161784,0.00019399289,0.00007334997,0.0005064882,0.0000011772839,0.0000026014466,0.0008800443],"genre_scores_gemma":[0.99082357,0.00002449468,0.007585538,0.000024359346,0.000020082096,0.00003896964,0.0000048489405,0.0000072767384,0.0014708865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799365,0.00018650873,0.0008668252,0.00016570851,0.0004253371,0.00036199045],"domain_scores_gemma":[0.998801,0.000064770255,0.0006063158,0.00016193958,0.00031005012,0.00005590786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041055717,0.0001313319,0.00033802638,0.00018722356,0.00015239544,0.00003604025,0.00027307274,0.00006210253,0.000083847626],"category_scores_gemma":[0.00033758432,0.000090809546,0.000107463755,0.000528415,0.00013436332,0.0007400031,0.00007054042,0.00014366079,4.1774402e-7],"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":[0.0010200397,0.0017370038,0.9120144,0.00055256794,0.0002897593,0.00016731622,0.05387275,0.014506749,0.0027959563,0.0016985348,0.005989923,0.0053549935],"study_design_scores_gemma":[0.0010387066,0.00041910904,0.79685104,0.00003259079,0.00006305216,0.000015202716,0.18285601,0.00041298926,0.0118021015,0.0022668284,0.0040396457,0.00020272631],"about_ca_topic_score_codex":0.0005952331,"about_ca_topic_score_gemma":0.00028171914,"teacher_disagreement_score":0.12898326,"about_ca_system_score_codex":0.00044849003,"about_ca_system_score_gemma":0.00037046077,"threshold_uncertainty_score":0.37031057},"labels":[],"label_agreement":null},{"id":"W2056547732","doi":"10.1016/j.landurbplan.2007.02.012","title":"An integrated GIS-based analysis system for land-use management of lake areas in urban fringe","year":2007,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Urbanization; Urban sprawl; Land use; Environmental resource management; Geographic information system; Environmental science; Urban planning; Land management; Environmental planning; Water resource management; Geography; Remote sensing; Civil engineering; Ecology","score_opus":0.012311701510146695,"score_gpt":0.23417462647878542,"score_spread":0.22186292496863874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056547732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99178255,0.00010004362,0.006643841,0.000010709198,0.000021598427,0.00013915224,0.000040329127,0.000036090496,0.0012257104],"genre_scores_gemma":[0.9986863,0.000002786859,0.0008909336,0.000030256455,0.000016901522,0.000012308804,0.0001914823,0.000007928917,0.00016105817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888855,0.000036817084,0.00031244714,0.0003179159,0.0001755317,0.00026874588],"domain_scores_gemma":[0.9994382,0.0001265658,0.000087192566,0.0002353973,0.000010296489,0.00010233662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006653183,0.00013693557,0.00031174862,0.00020167988,0.00007375364,0.000038521506,0.00012904144,0.000071008966,0.00007978785],"category_scores_gemma":[0.00000916377,0.000107163236,0.00010049283,0.00073818944,0.00003733961,0.00013410623,0.000028214094,0.000071487375,0.0000020308062],"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":[0.0001589462,0.00007358368,0.9903912,0.000064816086,0.00014190655,0.000026663041,0.0005711406,0.00773721,0.000021272133,0.000020852605,0.00014973788,0.0006426632],"study_design_scores_gemma":[0.0006967883,0.00006833852,0.94560105,0.0000624112,0.00034500015,7.921275e-7,0.0012746869,0.050003294,0.000083675455,0.000005282111,0.0017043581,0.00015434797],"about_ca_topic_score_codex":0.00029801627,"about_ca_topic_score_gemma":0.0023313407,"teacher_disagreement_score":0.044790186,"about_ca_system_score_codex":0.00003668832,"about_ca_system_score_gemma":0.0000031729815,"threshold_uncertainty_score":0.436999},"labels":[],"label_agreement":null},{"id":"W2056570528","doi":"10.1109/rsete.2012.6260614","title":"Land-Use Multicritera Evaluation Involving Carbon Sequestration Benefits Based on GIS and RS","year":2012,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental 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":"University of Toronto","funders":"","keywords":"Analytic hierarchy process; Carbon sequestration; Land use; Status quo; Environmental resource management; Geographic information system; Multiple-criteria decision analysis; Environmental science; Computer science; Forestry; Remote sensing; Geography; Operations research; Engineering; Ecology; Civil engineering","score_opus":0.03752919897625654,"score_gpt":0.25560238491985754,"score_spread":0.218073185943601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056570528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956857,0.000039958417,0.000028984567,0.00015229304,0.000035963425,0.00010134216,0.0000015924061,0.000021944634,0.0039322367],"genre_scores_gemma":[0.9992375,0.00000711493,0.00035371896,0.00026960942,0.000026972217,0.000011365881,0.000018620378,0.0000038197027,0.00007127948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992347,0.000090446185,0.00010295285,0.00015079165,0.00027852523,0.00014257937],"domain_scores_gemma":[0.9996603,0.00009727043,0.000022605089,0.0001325465,0.0000088032675,0.00007847813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057804084,0.00007216869,0.00006796731,0.000026960766,0.000067171335,0.00004022991,0.000031795298,0.00004235573,0.00070530747],"category_scores_gemma":[0.000110230656,0.000054919732,0.000022449285,0.000097702825,0.000029993898,0.0003122532,0.00001842308,0.000045247612,0.00002318098],"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":[0.0000066958364,0.000053429103,0.9834091,0.0000024381204,0.0000027844396,9.508136e-8,0.00030035587,0.005780312,0.00050415867,0.000019925785,0.0000146251805,0.009906045],"study_design_scores_gemma":[0.00014843699,0.000018988774,0.6052557,0.000004081332,0.000024648996,2.1286043e-7,0.00003307447,0.39397058,0.0004167632,0.00002863084,0.00003743664,0.000061395636],"about_ca_topic_score_codex":0.0037905893,"about_ca_topic_score_gemma":0.0013538518,"teacher_disagreement_score":0.38819027,"about_ca_system_score_codex":0.000082595696,"about_ca_system_score_gemma":0.0000037919792,"threshold_uncertainty_score":0.7722622},"labels":[],"label_agreement":null},{"id":"W2060484879","doi":"10.5539/ijef.v1n2p105","title":"Developing Policy for Suitable Harvest Zone using Multi Criteria Evaluation and GIS-Based Decision Support System","year":2009,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Geographic information system; Forest management; Computer science; Decision support system; Environmental resource management; Constraint (computer-aided design); Forest inventory; Logging; Operations research; Environmental science; Geography; Forestry; Data mining; Agroforestry; Remote sensing; Mathematics","score_opus":0.043812749432751506,"score_gpt":0.3234747450023822,"score_spread":0.27966199556963073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060484879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96374977,0.00007027475,0.034985043,0.00090473855,0.0001465841,0.00006172601,0.000013398784,0.0000012709852,0.000067171706],"genre_scores_gemma":[0.965102,0.00014929562,0.03443169,0.00020134906,0.00008551623,0.0000013540545,0.000003527725,0.0000030037402,0.000022264878],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999378,0.000013928043,0.00031771447,0.00011996944,0.00008261008,0.000087781846],"domain_scores_gemma":[0.99957544,0.000054613494,0.00021510493,0.000048827613,0.000076290446,0.00002975389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070822594,0.00006340052,0.00013644622,0.000075438234,0.00006912528,0.000086519736,0.00010953019,0.000034289344,0.000018291985],"category_scores_gemma":[0.00008914061,0.000057379966,0.00004655594,0.000036897585,0.000031141437,0.00031390597,0.000023166434,0.00003530552,0.000001096208],"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":[0.0005901822,0.00018309122,0.05585768,0.000022109529,0.000106993335,0.0000126388195,0.00067614607,0.18122472,0.0007816014,0.010273171,0.00012932874,0.75014234],"study_design_scores_gemma":[0.0013717617,0.000090778885,0.13431202,0.00005924112,0.000027349226,0.00006552146,0.00008040668,0.8566126,0.0002256682,0.002958358,0.0040823594,0.00011388674],"about_ca_topic_score_codex":0.00011828459,"about_ca_topic_score_gemma":0.00010861564,"teacher_disagreement_score":0.75002843,"about_ca_system_score_codex":0.00034715503,"about_ca_system_score_gemma":0.000075285345,"threshold_uncertainty_score":0.23398872},"labels":[],"label_agreement":null},{"id":"W2065676538","doi":"10.1371/journal.pone.0107522","title":"Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":421,"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":"Bundesministerium für Bildung und Forschung","keywords":"Environmental science; Climate change; Agriculture; Global warming; Greenhouse gas; Land use; Agricultural land; Climate model; Agroforestry; Physical geography; Geography; Ecology","score_opus":0.03799546399339439,"score_gpt":0.24653921094981743,"score_spread":0.20854374695642303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065676538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945305,0.0002554305,0.000004807072,0.0014378935,0.000011047144,0.0002545864,0.00006089684,0.000045416833,0.0033994238],"genre_scores_gemma":[0.99957526,0.000058357826,0.00007338342,0.00006259948,0.00008034607,0.000067971654,0.00004718183,0.0000033274964,0.000031551084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858207,0.000251403,0.00013739317,0.00034505894,0.00046776785,0.00021630188],"domain_scores_gemma":[0.99958444,0.00007196351,0.00005530717,0.00015493091,0.000048324113,0.00008505082],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061722484,0.00010573352,0.00016254699,0.000017022172,0.0002778563,0.000043146174,0.000077831835,0.00006468976,0.001122805],"category_scores_gemma":[0.00016412402,0.00008009341,0.000041596868,0.00022369382,0.00013418049,0.00025298112,0.00009201261,0.000058728983,0.00009933914],"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":[0.000041219853,0.0010007966,0.99201065,0.000040009603,0.000081630016,2.4464723e-7,0.0024117106,0.00033718077,0.002066827,0.0014650387,0.000033580982,0.00051112316],"study_design_scores_gemma":[0.0003151437,0.000063924104,0.98485315,0.000017675631,0.00023281782,8.92926e-7,0.0009800638,0.010154108,0.00007817085,0.003173266,0.000009737607,0.00012103645],"about_ca_topic_score_codex":0.0011734437,"about_ca_topic_score_gemma":0.003854222,"teacher_disagreement_score":0.009816927,"about_ca_system_score_codex":0.00023138037,"about_ca_system_score_gemma":0.000002893509,"threshold_uncertainty_score":0.9997903},"labels":[],"label_agreement":null},{"id":"W2082904470","doi":"10.1002/ldr.1096","title":"Integrated land degradation monitoring and assessment: Horizontal knowledge management at the national and international levels","year":2011,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Economic and Social Research Council","keywords":"Convention on Biological Diversity; Environmental resource management; Business; Desertification; Land degradation; Environmental planning; Information exchange; Sustainable land management; Land management; Land use; Biodiversity; Economics; Geography; Computer science; Engineering","score_opus":0.05984002202552481,"score_gpt":0.2789865253792122,"score_spread":0.2191465033536874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082904470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604189,0.00015196002,0.00075190613,0.00018174654,0.00012561285,0.00014364894,0.000009177534,0.000024972096,0.038192082],"genre_scores_gemma":[0.9892304,0.00019135435,0.0065920567,0.00005205547,0.00002386858,0.000034446824,0.00007578454,0.0000057692423,0.0037942848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991091,0.00004422696,0.0002008237,0.00027449327,0.00024688902,0.00012446217],"domain_scores_gemma":[0.9997389,0.000046110537,0.000055824617,0.00006146978,0.000023874472,0.00007387755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003750823,0.00012513944,0.000096421456,0.000054104876,0.00033302073,0.00007656788,0.00007615143,0.00004127311,0.00067302625],"category_scores_gemma":[0.000012478575,0.0000820701,0.0000145606655,0.000109229484,0.00008596177,0.00020527712,0.00020349973,0.000074282114,0.000030482317],"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":[0.000021334232,0.000048333015,0.8219083,0.00000776418,0.000058721937,0.0000010459534,0.0010156175,0.000001994231,0.0000344442,0.00021369179,0.00018232422,0.17650642],"study_design_scores_gemma":[0.00046337504,0.00001462074,0.9732753,0.0000092797045,0.000017314986,0.000010842835,0.00045002365,0.0005887927,0.00022563948,0.00024580903,0.024569307,0.00012971439],"about_ca_topic_score_codex":0.00015784739,"about_ca_topic_score_gemma":0.000725796,"teacher_disagreement_score":0.1763767,"about_ca_system_score_codex":0.00015316955,"about_ca_system_score_gemma":0.000015585118,"threshold_uncertainty_score":0.73691654},"labels":[],"label_agreement":null},{"id":"W2087270293","doi":"10.5539/ijc.v7n1p55","title":"Analysis of Heavy Metals and Some Physicochemical Parameters in Soil of Major Industrial Dumpsites in Akure Township, Ondo State of South Western Nigeria","year":2014,"lang":"en","type":"article","venue":"International Journal of Chemistry","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chemistry; Environmental chemistry; Heavy metals; Atomic absorption spectroscopy; Pollutant; Positive correlation; Industrial area; Pollution; Organic matter; Total organic carbon; Environmental engineering; Environmental science","score_opus":0.012204441088084666,"score_gpt":0.23723839773923727,"score_spread":0.2250339566511526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087270293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999629,0.00003795247,0.000025906143,0.00015117314,0.000027747003,0.000019989584,0.000032369797,0.000001008296,0.00007482874],"genre_scores_gemma":[0.999818,0.000013833315,0.00007904129,0.00002018867,0.000030109706,8.944562e-7,0.000008242375,0.0000036843444,0.00002595629],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998423,0.000057495716,0.0007620841,0.00014138779,0.00051141536,0.00010466487],"domain_scores_gemma":[0.9989784,0.00020510168,0.0005927144,0.000114330534,0.000050979,0.000058503956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005667701,0.00009967039,0.0005248338,0.00014381127,0.000005445286,0.000011348944,0.00030063858,0.000068982394,0.00014422859],"category_scores_gemma":[0.0002570712,0.000083800805,0.00022299205,0.00030456975,0.00019054892,0.00015119831,0.00008894781,0.00017835487,4.190368e-7],"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":[0.00024608345,0.0001741249,0.8127554,0.000015663836,0.000490583,0.0000037969455,0.00064748287,0.0076125585,0.17703283,9.4955885e-7,0.000004290649,0.0010162321],"study_design_scores_gemma":[0.0016546398,0.000048666152,0.2910653,0.000092423805,0.00029037928,0.000005314712,0.00031474113,0.0018365231,0.7035077,0.0010444545,0.0000074693507,0.0001323716],"about_ca_topic_score_codex":0.00029786438,"about_ca_topic_score_gemma":0.00014016885,"teacher_disagreement_score":0.5264749,"about_ca_system_score_codex":0.00006360929,"about_ca_system_score_gemma":0.000023995828,"threshold_uncertainty_score":0.34172976},"labels":[],"label_agreement":null},{"id":"W2088966354","doi":"10.1007/s10333-015-0493-z","title":"Rainwater harvesting for the management of agricultural droughts in arid and semi-arid regions","year":2015,"lang":"en","type":"article","venue":"Paddy and Water Environment","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"College of Food and Agriculture Sciences, King Saud University","keywords":"Rainwater harvesting; Arid; Vegetation (pathology); Environmental science; Agriculture; Ecosystem; Hydrology (agriculture); Agroforestry; Geography; Water resource management; Ecology","score_opus":0.018523749602957915,"score_gpt":0.19813535938084337,"score_spread":0.17961160977788546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088966354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99681437,0.00013103429,0.0005909223,0.0014359924,0.000022961574,0.00026067995,0.0000036797987,0.000005095423,0.0007352495],"genre_scores_gemma":[0.9975812,0.00015087654,0.00051662844,0.00006488498,0.000014047611,0.00006257306,0.000011151014,0.000003967446,0.0015946699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923617,0.00003297876,0.00017033116,0.0002260883,0.00014206923,0.0001923443],"domain_scores_gemma":[0.99972385,0.000040087118,0.00002679162,0.00014227554,0.0000012667718,0.00006574736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037423597,0.000100015386,0.00012061962,0.000011889737,0.00009640355,0.000019704223,0.0000822989,0.000030285248,0.000056468285],"category_scores_gemma":[0.0000028034185,0.00004721437,0.00003415568,0.00003236779,0.00017089478,0.00009530519,0.00019663072,0.00004728395,0.00001245658],"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":[0.00021352398,0.000707412,0.86554646,0.00024433545,0.0004817974,0.00002486013,0.033342708,0.037919972,0.006726374,0.0007839297,0.0018471245,0.05216149],"study_design_scores_gemma":[0.0017190431,0.00014893516,0.93833756,0.000032530683,0.00024309504,0.000014325623,0.0048005017,0.0031534159,0.005698428,0.005369975,0.040114176,0.0003680072],"about_ca_topic_score_codex":0.000325176,"about_ca_topic_score_gemma":0.00008341918,"teacher_disagreement_score":0.0727911,"about_ca_system_score_codex":0.00004193059,"about_ca_system_score_gemma":5.6448243e-7,"threshold_uncertainty_score":0.19253461},"labels":[],"label_agreement":null},{"id":"W2092277788","doi":"10.1080/09640568.2013.815606","title":"Contextualising site factors for feasibility analysis","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Soil and Land Suitability Analysis","field":"Environmental 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 Windsor; McGill University; Thompson Rivers University","funders":"","keywords":"Stakeholder; Context (archaeology); Identification (biology); Site planning; Computer science; Representation (politics); Risk analysis (engineering); Decision analysis; Site selection; Operations research; Relation (database); Management science; Engineering; Data mining; Business; Geography; Civil engineering","score_opus":0.017651265757508413,"score_gpt":0.24204069282715554,"score_spread":0.22438942706964712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092277788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933571,0.00014626782,0.0051463866,0.000099072844,0.000039802628,0.00020019461,0.000010228325,0.000005672845,0.0009952246],"genre_scores_gemma":[0.9979911,0.000046865953,0.0014294129,0.00010785612,0.000018152517,0.0000057179277,0.000010162898,0.00000578461,0.00038499138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998951,0.000039140486,0.00035785153,0.00020199684,0.00026187676,0.00018810903],"domain_scores_gemma":[0.99941945,0.00010246078,0.00020256056,0.0001415594,0.0000030697963,0.00013092197],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038065194,0.00012930689,0.00027837584,0.00010361075,0.00013959965,0.000059535312,0.000114583076,0.00003590158,0.0010830223],"category_scores_gemma":[0.000016033931,0.00009515758,0.00023758765,0.00013695868,0.00010651195,0.00029190746,0.00010661345,0.000073775635,0.000016921409],"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":[0.000027622962,0.00012287071,0.9899859,0.000013496427,0.00050465844,0.000004952653,0.00087639404,0.0034345842,0.00067434524,0.000008396758,0.0008059568,0.0035408176],"study_design_scores_gemma":[0.00045096097,0.00011110958,0.9916812,0.000008371977,0.0006585565,0.0000030378653,0.002984597,0.0013754708,0.00006407028,0.00030206225,0.0022321823,0.00012839132],"about_ca_topic_score_codex":0.00007283183,"about_ca_topic_score_gemma":0.00000919116,"teacher_disagreement_score":0.004633906,"about_ca_system_score_codex":0.00011621084,"about_ca_system_score_gemma":8.3828843e-7,"threshold_uncertainty_score":0.9998301},"labels":[],"label_agreement":null},{"id":"W2095767234","doi":"10.1007/s10661-007-9880-2","title":"Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada","year":2007,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Government of Canada","keywords":"Afforestation; Fuzzy logic; Land use; Scale (ratio); Environmental science; Geographic information system; Environmental resource management; Computer science; Remote sensing; Geography; Agroforestry; Cartography; Artificial intelligence; Engineering; Civil engineering","score_opus":0.01233112942119814,"score_gpt":0.2657764613636754,"score_spread":0.25344533194247726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095767234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811745,0.00014739974,0.0007096649,0.00017098915,0.000105904,0.00023175836,0.000060416285,0.000005303101,0.00045113027],"genre_scores_gemma":[0.99875385,0.000022351955,0.0010787759,0.000009529017,0.000042911983,0.00001843271,0.000006624431,0.0000063888942,0.00006112374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986777,0.0000366019,0.00033190864,0.00026399287,0.0003910547,0.00029876214],"domain_scores_gemma":[0.99938893,0.00019411027,0.00011702539,0.0002190711,0.0000034924708,0.0000773938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010881927,0.00012646549,0.00019990213,0.000008479097,0.0002556983,0.000012021555,0.00015837974,0.000029986939,0.00002152903],"category_scores_gemma":[0.000023517267,0.00008549907,0.000066474546,0.00005143807,0.0002109361,0.00008518613,0.0001533931,0.000098192584,2.6909126e-7],"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":[0.00002647454,0.0001102961,0.9826289,0.000024667284,0.000026167325,0.0000010950288,0.00021444731,0.0069182245,0.001677445,0.000010796433,0.000007777608,0.008353712],"study_design_scores_gemma":[0.00040243546,0.00014645372,0.97761023,0.000014655713,0.000047880552,0.0000029051441,0.004394731,0.0061839465,0.009645647,0.00086605345,0.00050199794,0.00018304268],"about_ca_topic_score_codex":0.0687818,"about_ca_topic_score_gemma":0.028500397,"teacher_disagreement_score":0.040281404,"about_ca_system_score_codex":0.0002506927,"about_ca_system_score_gemma":0.000027748334,"threshold_uncertainty_score":0.98922694},"labels":[],"label_agreement":null},{"id":"W2098446249","doi":"10.1109/igarss.1989.578943","title":"Utilisation Des Mesures Radiometriques De Terrain Pour La Cartographic Satellitaire Des Sols D'une Region Semi-Aride Du Maroc","year":2005,"lang":"fr","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Geology; Geomorphology; Geography","score_opus":0.016417214878999498,"score_gpt":0.2555008516653722,"score_spread":0.23908363678637268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098446249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497224,0.0066274204,0.015731622,0.012127179,0.000057389847,0.00017395805,0.000009955381,0.00012259284,0.015427477],"genre_scores_gemma":[0.9772725,0.0073355874,0.005647159,0.0003843185,0.00021468828,0.000020933001,0.0000139289195,0.000024662155,0.00908621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970348,0.0008115306,0.0004781426,0.00056138576,0.00040003637,0.00071412127],"domain_scores_gemma":[0.99860054,0.00054447673,0.00010943225,0.00039129137,0.000038001348,0.00031627528],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017684003,0.00033430234,0.00036446535,0.00027692018,0.00050892733,0.00017094146,0.00026787168,0.0003084367,0.0023840691],"category_scores_gemma":[0.00035419685,0.00029152932,0.00037446755,0.0016285814,0.0017007638,0.00081279076,0.00010028947,0.00023089325,0.00016835923],"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":[0.000026165824,0.00022853717,0.6307711,0.000056571655,0.000079203906,0.00002251581,0.006684633,0.0017371231,0.0009917681,0.00026837393,0.002161188,0.3569728],"study_design_scores_gemma":[0.00047992673,0.00010245224,0.9067753,0.00011414295,0.0002396728,0.00022087398,0.004263444,0.022654364,0.0052392725,0.022548202,0.03682173,0.00054061157],"about_ca_topic_score_codex":0.0460183,"about_ca_topic_score_gemma":0.06183341,"teacher_disagreement_score":0.3564322,"about_ca_system_score_codex":0.0006331674,"about_ca_system_score_gemma":0.00004643858,"threshold_uncertainty_score":0.9999537},"labels":[],"label_agreement":null},{"id":"W2104215496","doi":"10.6000/1927-5129.2014.10.02","title":"Socio-Agricultural Correlation and Regionalization: A Case of the Districts of Pakistan","year":2014,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Indus; Agriculture; Distribution (mathematics); Socioeconomics; Population; Agricultural economics; Demography; Economics","score_opus":0.008414364674967287,"score_gpt":0.22176351800060068,"score_spread":0.2133491533256334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104215496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945665,0.000029268096,0.00069037033,0.0004154628,0.000039065217,0.00003408733,9.2084e-7,0.0000010370726,0.0042233043],"genre_scores_gemma":[0.9996995,0.0000062786485,0.00020927194,0.000031779913,0.000021042824,4.23058e-7,1.9649664e-7,7.782844e-7,0.000030741492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991883,0.00004919978,0.00027338922,0.00008066621,0.0003428707,0.00006554113],"domain_scores_gemma":[0.99935126,0.00013738908,0.0003900372,0.00006381089,0.00002258224,0.00003492282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007891691,0.000045577126,0.00012335456,0.000020233878,0.00017179942,0.000013676397,0.00014654172,0.000023636125,0.00007191437],"category_scores_gemma":[0.000052627976,0.000022135508,0.00006018312,0.00040870957,0.00061697926,0.000108896624,0.000040957053,0.000052140487,7.310457e-7],"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":[0.00004172664,0.00019626622,0.92422855,0.00003587422,0.00003861687,0.000005374349,0.006033249,0.01737268,0.008345154,0.019772172,0.0011158999,0.022814456],"study_design_scores_gemma":[0.00046470042,0.00016876188,0.97385323,0.000029031751,0.00011357959,0.00035576048,0.008540176,0.0042342744,0.0014002845,0.010173086,0.0005439499,0.00012317637],"about_ca_topic_score_codex":0.000074100695,"about_ca_topic_score_gemma":0.00007827512,"teacher_disagreement_score":0.04962469,"about_ca_system_score_codex":0.00002257105,"about_ca_system_score_gemma":0.000013656841,"threshold_uncertainty_score":0.22732858},"labels":[],"label_agreement":null},{"id":"W2104682970","doi":"10.14796/jwmm.r208-13","title":"Wetlands Management using GIS and Multi-Criteria Evaluation Tools","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Wetland; Geographic information system; Environmental resource management; Computer science; Geography; Remote sensing; Environmental science; Environmental planning; Ecology","score_opus":0.08867332742107188,"score_gpt":0.2811473571372929,"score_spread":0.19247402971622102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104682970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9487926,0.000092362054,0.047096446,0.00021098694,0.00010467119,0.0001479074,5.4328444e-7,0.000007503307,0.0035469756],"genre_scores_gemma":[0.9833598,0.00020302075,0.015907513,0.000096569194,0.00003988156,0.000003230523,0.0000018816065,0.000008238148,0.00037986523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857986,0.00007569171,0.0004175453,0.00018796118,0.00052675017,0.00021219115],"domain_scores_gemma":[0.9996584,0.0000066346324,0.00008436503,0.00015731617,0.000023010609,0.00007028903],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012017583,0.00011701081,0.00017279536,0.00012501627,0.00012885818,0.00012341415,0.00015285722,0.000029205816,0.0016036459],"category_scores_gemma":[0.0000053928966,0.00007888959,0.00008881987,0.00010051128,0.000025954996,0.0005179097,0.00019854547,0.00007654351,0.000030271902],"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":[0.000038991966,0.00026916247,0.00908396,0.000086863234,0.0003631549,0.0000749144,0.002717439,0.8186611,0.0010528574,0.000013822323,0.0002438134,0.16739394],"study_design_scores_gemma":[0.00080015004,0.000024937795,0.0011240852,0.00003202601,0.00037539224,0.000013088451,0.0005831118,0.99607265,0.000055467608,0.00048771172,0.000313507,0.00011787271],"about_ca_topic_score_codex":0.000019524188,"about_ca_topic_score_gemma":0.00000786366,"teacher_disagreement_score":0.17741157,"about_ca_system_score_codex":0.00012674626,"about_ca_system_score_gemma":5.0013983e-7,"threshold_uncertainty_score":0.999309},"labels":[],"label_agreement":null},{"id":"W2108975256","doi":"10.5558/tfc80359-3","title":"Ecosystem mapping in the Lower Foothills Subregion of Alberta: Application of fuzzy logic","year":2004,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; Northern Alberta Institute of Technology","funders":"","keywords":"Foothills; Geographic information system; Polygon (computer graphics); Cartography; Fuzzy logic; Identification (biology); Field (mathematics); Elevation (ballistics); Range (aeronautics); Computer science; Vegetation (pathology); Geography; Remote sensing; Database; Ecology; Mathematics; Artificial intelligence; Engineering","score_opus":0.01097867436170652,"score_gpt":0.21502611229808033,"score_spread":0.2040474379363738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108975256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99476874,0.00006954132,0.00033725976,0.0010129092,0.000013586953,0.00017136426,0.0000017020516,0.0000042234624,0.0036206716],"genre_scores_gemma":[0.99982756,0.000009093772,0.00002664412,0.00006923937,0.0000147524,0.000018142355,0.000002640678,0.000003125448,0.000028778268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930745,0.000053100597,0.00020839581,0.00012444888,0.00017510701,0.00013146792],"domain_scores_gemma":[0.99941325,0.00009060857,0.000096706885,0.0003807511,0.0000044209596,0.000014237961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041361348,0.00006158141,0.00011081702,0.000013125357,0.00005138475,0.000004929227,0.00033009407,0.000040278694,0.000071916606],"category_scores_gemma":[0.000019206494,0.000032521773,0.00007247613,0.00030211092,0.00013083513,0.00006044275,0.000054232223,0.00006926169,0.00005613897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008084568,0.0012772871,0.69278437,0.00017405902,0.00006426958,0.00000401446,0.01281581,0.25702888,0.0065657585,0.017820895,0.00023502632,0.011148786],"study_design_scores_gemma":[0.0012441841,0.00022913466,0.91997343,0.00006926804,0.000054640874,0.000017993501,0.0026889422,0.009395141,0.0033106671,0.060031425,0.0027564573,0.00022869013],"about_ca_topic_score_codex":0.006910265,"about_ca_topic_score_gemma":0.009696375,"teacher_disagreement_score":0.24763373,"about_ca_system_score_codex":0.00010037802,"about_ca_system_score_gemma":0.00001120092,"threshold_uncertainty_score":0.9997028},"labels":[],"label_agreement":null},{"id":"W2112967113","doi":"10.22059/ijer.2012.512","title":"Assessment of Ecological integrity in a landscape context using the Miankale peninsula of Northern Iran","year":2012,"lang":"en","type":"article","venue":"International Journal of Environmental Research","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Habitat; Context (archaeology); Land cover; Ecology; Geography; Ecological assessment; Environmental resource management; Landscape ecology; Biological integrity; Peninsula; Biosphere; Vegetation (pathology); Ecosystem; Land use; Environmental science","score_opus":0.08432284773123488,"score_gpt":0.39058888340912146,"score_spread":0.30626603567788657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112967113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811476,0.00015147017,0.00005699091,0.00027032907,0.0000815908,0.00007558414,0.000014396852,6.003965e-7,0.0012342548],"genre_scores_gemma":[0.99953127,0.000073541734,0.0002687565,0.000024032326,0.000057777757,0.0000020201837,0.0000019468355,0.000004249146,0.000036392874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747103,0.0003741089,0.000494029,0.00009847961,0.0013493138,0.00021302876],"domain_scores_gemma":[0.9991288,0.0004224598,0.0002161477,0.00012568035,0.0000262199,0.00008066489],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024517225,0.00007288995,0.0001954714,0.000120803306,0.000043581127,0.000011788503,0.0005725206,0.000058126803,0.003557646],"category_scores_gemma":[0.00017915847,0.000045043715,0.0001444386,0.00015055762,0.00047939224,0.0002110124,0.00029376507,0.00050047174,0.000010758642],"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":[0.00006838496,0.0009081464,0.98017395,0.0000022456493,0.00005282824,0.000008670976,0.00070740894,0.0007436928,0.012943356,0.000031524487,0.000013929352,0.004345859],"study_design_scores_gemma":[0.00046258402,0.00011638803,0.9921535,0.000016688495,0.000010817263,0.000028799415,0.0039282558,0.0019709682,0.0008863632,0.00018943007,0.00019226047,0.00004389193],"about_ca_topic_score_codex":0.0005759041,"about_ca_topic_score_gemma":0.0005663758,"teacher_disagreement_score":0.012056993,"about_ca_system_score_codex":0.00042745812,"about_ca_system_score_gemma":0.000026171661,"threshold_uncertainty_score":0.99735326},"labels":[],"label_agreement":null},{"id":"W2116820722","doi":"10.1109/igarss.1989.576143","title":"Information Extraction From Sar Imagery For Tropical Land Cover Evaluation","year":2005,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"University of Calgary","funders":"","keywords":"Land cover; Remote sensing; Cover (algebra); Information extraction; Extraction (chemistry); Computer science; Artificial intelligence; Geography; Land use; Engineering","score_opus":0.01275225586892309,"score_gpt":0.2598065639807765,"score_spread":0.24705430811185342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116820722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495745,0.000008513999,0.037442002,0.0008456434,0.00004321544,0.00014895784,0.000009648185,0.000021583879,0.01190594],"genre_scores_gemma":[0.9962404,0.00000406953,0.002803706,0.0003977143,0.0000784305,0.000014736014,0.00010033403,0.0000015456842,0.0003590717],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99948525,0.000023427634,0.0001343115,0.00007293334,0.00020589853,0.0000781854],"domain_scores_gemma":[0.99976623,0.00007252828,0.00003155283,0.00008877675,0.00001136521,0.000029572913],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018461265,0.000043303342,0.000055379565,0.000013863812,0.000059700335,0.00003148466,0.000037505342,0.000038703325,0.01313054],"category_scores_gemma":[0.000077915654,0.00003278657,0.000048294725,0.000052698702,0.000018873056,0.00089221564,0.000012297597,0.000029053823,0.0011613936],"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":[0.00007843294,0.000083562205,0.46139735,0.0000025182844,0.000018249597,4.0725865e-8,0.00045482503,0.019629296,0.00051788846,0.00001937561,0.011319567,0.5064789],"study_design_scores_gemma":[0.00046666694,0.00001635913,0.5577203,7.6441967e-7,0.00004609814,3.340561e-7,0.000066656896,0.33592618,0.0005999137,0.00071860926,0.10436459,0.00007349943],"about_ca_topic_score_codex":0.00050093984,"about_ca_topic_score_gemma":0.00040503393,"teacher_disagreement_score":0.5064054,"about_ca_system_score_codex":0.000110117566,"about_ca_system_score_gemma":0.0000048000948,"threshold_uncertainty_score":0.9996163},"labels":[],"label_agreement":null},{"id":"W2124387874","doi":"10.5539/jgg.v4n3p56","title":"Bedrock Geology, Physical and Physico-Chemical Properties of Teak Plantation Soil in Southwest Nigeria","year":2012,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsoil; Topsoil; Geology; Basement; Bedrock; Sedimentary rock; Geochemistry; Soil horizon; Soil science; Leaching (pedology); Parent rock; Weathering; Soil water; Geomorphology; Geography; Archaeology","score_opus":0.006371981798436917,"score_gpt":0.20282906976885048,"score_spread":0.19645708797041356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124387874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990491,0.0005129432,0.000010722478,0.00019646049,0.00003997959,0.000030616833,0.0000012265647,0.0000022302324,0.00015667688],"genre_scores_gemma":[0.9997078,0.00009552302,0.000057152556,0.00005183784,0.00007556267,0.0000017581775,0.0000013221222,0.0000024701449,0.000006535759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992536,0.000085758555,0.0002538526,0.00010179332,0.00010994978,0.00019508941],"domain_scores_gemma":[0.9996281,0.00006586515,0.00015270727,0.00006271896,0.000012871109,0.00007771796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026685218,0.00008815388,0.00029553554,0.00009291182,0.00003731126,0.0000046659247,0.00006949081,0.000075869495,0.000046762787],"category_scores_gemma":[0.000029874709,0.0000614761,0.00008692247,0.00013382334,0.0005537909,0.00018918136,0.000063762716,0.0001537025,0.0000025352942],"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":[0.00011842459,0.00021494551,0.9864155,0.000014857607,0.00003612985,0.0000014126147,0.0025668931,0.00006939432,0.008659073,0.000025085612,0.000012055413,0.0018661999],"study_design_scores_gemma":[0.00044469777,0.00013641002,0.9950756,0.000009292541,0.000042433086,0.00007247422,0.0007734723,0.00008912395,0.001874216,0.0013316603,0.00007265669,0.000077963],"about_ca_topic_score_codex":0.0007034669,"about_ca_topic_score_gemma":0.0002711405,"teacher_disagreement_score":0.008660072,"about_ca_system_score_codex":0.0000062505533,"about_ca_system_score_gemma":0.000004441725,"threshold_uncertainty_score":0.25069228},"labels":[],"label_agreement":null},{"id":"W2129372057","doi":"10.1111/j.1749-8198.2011.00431.x","title":"GIS‐Based Multiple‐Criteria Decision Analysis","year":2011,"lang":"en","type":"article","venue":"Geography Compass","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":352,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Memorial University of Newfoundland","funders":"Canadian Forest Service; Mitacs; Université de Sherbrooke; University of Ottawa","keywords":"Multiple-criteria decision analysis; Computer science; Decision analysis; Management science; Variety (cybernetics); Decision tree; Set (abstract data type); Decision support system; Heuristic; Geographic information system; Structuring; Data science; Operations research; Risk analysis (engineering); Data mining; Engineering; Geography; Artificial intelligence; Mathematics; Business","score_opus":0.01908556112534666,"score_gpt":0.22941760703020006,"score_spread":0.2103320459048534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129372057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97279364,0.000038178005,0.017504409,0.00006852889,0.000082092716,0.000082832186,0.000015683472,0.00008203591,0.009332581],"genre_scores_gemma":[0.9924185,0.000003884272,0.0072262324,0.00026659222,0.00001171795,0.000017926193,0.000026069272,0.00000666402,0.000022378179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851906,0.00009185022,0.0002761656,0.00043456274,0.00036000382,0.00031834285],"domain_scores_gemma":[0.9990248,0.00013092751,0.000067051806,0.0005946615,0.0000148187355,0.00016775099],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034754167,0.00016391806,0.00029745547,0.00029185685,0.0001781163,0.00003561504,0.00037508196,0.0000672817,0.016523857],"category_scores_gemma":[0.000031158885,0.00013226083,0.00062515045,0.0021435383,0.00019700603,0.00012838881,0.000108324544,0.00008959395,0.00034542845],"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":[0.00004764906,0.00018522925,0.9903894,0.0000015144191,0.00017426543,0.0000048271613,0.00016175439,0.000759105,0.00005497897,0.000005820522,0.0005727445,0.0076427273],"study_design_scores_gemma":[0.0002910878,0.00003315067,0.9642912,0.0000023965913,0.00036066328,3.414822e-7,0.000052543648,0.030727176,0.00016475172,0.00069825264,0.0031904855,0.00018792102],"about_ca_topic_score_codex":0.0044497307,"about_ca_topic_score_gemma":0.0027585083,"teacher_disagreement_score":0.029968072,"about_ca_system_score_codex":0.000023516199,"about_ca_system_score_gemma":0.000003195968,"threshold_uncertainty_score":0.9843752},"labels":[],"label_agreement":null},{"id":"W2129792871","doi":"","title":"CITY OF NANAIMO BOARD OF VARIANCE MINUTES OF THE MEETING OF THE BOARD OF VARIANCE HELD ON THURSDAY, 2004-NOVEMBER-18 TH , IN THE BOARD ROOM, CITY HALL, 455 WALLACE STREET, NANAIMO, BC PRESENT:","year":2003,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Thursday; Variance (accounting); Business; Theology; Accounting","score_opus":0.01792161842800191,"score_gpt":0.2296594391873183,"score_spread":0.21173782075931638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129792871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9038373,0.00024083971,0.00009599235,0.0016580201,0.00013908047,0.0005475193,0.00006422052,0.000009354756,0.093407646],"genre_scores_gemma":[0.997246,0.000068385794,0.00041255663,0.0001676131,0.000022319795,0.000017374052,9.147241e-7,0.0000139570475,0.0020508454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957103,0.00084993546,0.0011070885,0.000546175,0.0013395796,0.0004469121],"domain_scores_gemma":[0.9963285,0.0009466463,0.0009362923,0.0016250982,0.00009534102,0.00006812775],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018196226,0.00032543542,0.00076421327,0.000059747053,0.00016092444,0.000018256453,0.0016989274,0.00016194627,0.0010901259],"category_scores_gemma":[0.00082708,0.00017165527,0.00051183836,0.0010613955,0.0010626402,0.00019932287,0.0003864956,0.00032930073,0.0000025534132],"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":[0.0001615411,0.0014012703,0.9695704,0.0001906842,0.00021181547,0.0000012742156,0.0036073343,0.011937347,0.003379563,0.0043295636,0.004152782,0.0010564456],"study_design_scores_gemma":[0.0020426936,0.0005327509,0.77989906,0.0006711223,0.0005041829,0.0000027389553,0.0054406556,0.0044818013,0.1931397,0.006913123,0.0056206672,0.0007515005],"about_ca_topic_score_codex":0.0801036,"about_ca_topic_score_gemma":0.072121024,"teacher_disagreement_score":0.18976015,"about_ca_system_score_codex":0.00011918422,"about_ca_system_score_gemma":0.00007913255,"threshold_uncertainty_score":0.99982303},"labels":[],"label_agreement":null},{"id":"W2129886664","doi":"10.1016/j.progress.2003.09.002","title":"GIS-based land-use suitability analysis: a critical overview","year":2003,"lang":"en","type":"article","venue":"Progress in Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1688,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Scope (computer science); Geographic information system; Context (archaeology); Traditional knowledge GIS; GIS applications; Land use; Suitability analysis; Perspective (graphical); Data science; Computer science; Management science; GIS and public health; Geography; Engineering; Remote sensing; GIS Day; Civil engineering","score_opus":0.04129392277594556,"score_gpt":0.32697756484622925,"score_spread":0.2856836420702837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129886664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958191,0.0012870878,0.00055197836,0.00021009208,0.000041626543,0.00010871003,0.0000075148787,0.000052022933,0.0019218703],"genre_scores_gemma":[0.997665,0.0000048943834,0.0020465574,0.00017233782,0.000007345094,0.00004882463,0.00001300169,0.0000067703404,0.000035275418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816334,0.00031293312,0.00030937887,0.00046536393,0.00034485152,0.00040413826],"domain_scores_gemma":[0.9989405,0.0004988147,0.000041645282,0.00038541973,0.000010906062,0.0001227138],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010908946,0.00014760015,0.00031687855,0.000105241474,0.00010795393,0.00008680112,0.00017608657,0.00008322992,0.0026575522],"category_scores_gemma":[0.0006758418,0.00012336187,0.00017114279,0.0012583806,0.00025958192,0.00022837808,0.000053150106,0.00018310938,0.00008211876],"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":[0.000017344331,0.0001945551,0.99272245,0.000021445212,0.00004007665,0.000031113694,0.00023040973,0.004878919,9.0921355e-7,0.000086875225,0.000029402001,0.0017465157],"study_design_scores_gemma":[0.00022718571,0.000018964674,0.97990906,0.00002365913,0.00019094607,0.0000014401115,0.00007279062,0.016992308,0.000026183374,0.00056834245,0.0017799812,0.00018916494],"about_ca_topic_score_codex":0.00029744577,"about_ca_topic_score_gemma":0.00053273473,"teacher_disagreement_score":0.0128134,"about_ca_system_score_codex":0.0001127324,"about_ca_system_score_gemma":0.000013826221,"threshold_uncertainty_score":0.9982542},"labels":[],"label_agreement":null},{"id":"W2134793400","doi":"10.5539/jsd.v1n3p117","title":"Soil Nitrogen Phosphorus and Tea Leaf Growth in Organic and Conventional Farming of Selected Fields at Sabah Tea Plantation Slope","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Phosphorus; Organic farming; Environmental science; Agriculture; Nitrogen; Agronomy; Tea garden; Field experiment; Soil water; Horticulture; Chemistry; Biology; Soil science; Ecology","score_opus":0.00400333823544891,"score_gpt":0.18819638595848057,"score_spread":0.18419304772303166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134793400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888545,0.00026564713,0.00010851431,0.00029781793,0.000011839593,0.000068819434,4.8021985e-7,0.0000028872437,0.00035855174],"genre_scores_gemma":[0.99853903,0.00016921827,0.0006413106,0.00006931871,0.000007910829,0.0000012264779,0.0000037506215,0.0000032503394,0.00056499505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989546,0.000039136125,0.0004164341,0.00012424172,0.0002659557,0.00019962859],"domain_scores_gemma":[0.9995797,0.000048783837,0.00018171809,0.00003884451,0.00007606525,0.00007483911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052199926,0.00009070013,0.0002023061,0.0001087791,0.000110754154,0.00001894579,0.00007439447,0.000055830023,0.00031764936],"category_scores_gemma":[0.00010217767,0.000075788565,0.000027152104,0.0003347057,0.00004650208,0.0001970211,0.00006518432,0.00011415047,0.0000017307199],"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":[0.00018279979,0.00013628273,0.98566306,0.000041745487,0.0000501628,0.00010819417,0.003931017,0.00014342889,0.0016408302,0.000059299404,0.00020592696,0.007837283],"study_design_scores_gemma":[0.0008700798,0.000121036304,0.9845433,0.00002540103,0.000028751661,0.00009871052,0.0038075515,0.00012244978,0.00823213,0.0015287129,0.0004992663,0.000122605],"about_ca_topic_score_codex":0.00016184172,"about_ca_topic_score_gemma":0.00013097485,"teacher_disagreement_score":0.007714678,"about_ca_system_score_codex":0.00033927034,"about_ca_system_score_gemma":0.00009491047,"threshold_uncertainty_score":0.34780377},"labels":[],"label_agreement":null},{"id":"W2139395626","doi":"10.1109/igarss.1990.688641","title":"Impreciseness In Land-cover Classification: Its Determination, Representation And Application","year":2005,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cover (algebra); Computer science; Land cover; Representation (politics); Artificial intelligence; Land use; Engineering; Civil engineering; Political science","score_opus":0.014545573523633485,"score_gpt":0.26713742339394214,"score_spread":0.25259184987030864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139395626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774878,0.000019337844,0.0034074606,0.0011905795,0.000009636102,0.00011804185,8.2911464e-7,0.000019547208,0.017746743],"genre_scores_gemma":[0.998231,0.000026442098,0.0004641051,0.00011621998,0.00002186805,0.000039195078,0.000010037602,0.0000024766678,0.0010886446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994188,0.000029375055,0.00014182039,0.00021416742,0.000119850076,0.000075967626],"domain_scores_gemma":[0.99975055,0.000043878314,0.00003075966,0.00013679433,0.0000070532988,0.000030968164],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016856946,0.00004711855,0.00006094394,0.000029170176,0.000044230503,0.000019506911,0.000057724134,0.00003661376,0.0009735974],"category_scores_gemma":[0.000028059128,0.000039737504,0.000015512862,0.00022641159,0.00003071627,0.00029300267,0.000029662593,0.000030492669,0.00031892455],"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":[0.000004709944,0.000035733505,0.7922388,0.0000018207071,0.0000010521566,1.5255344e-7,0.00018870948,0.0012552976,0.0015956106,0.0000743465,0.00005936404,0.20454444],"study_design_scores_gemma":[0.00014667724,0.0000034405873,0.80651844,7.4416363e-7,0.000004254826,0.0000015044386,0.00004227265,0.18971044,0.0009231326,0.00026986856,0.002329402,0.000049823204],"about_ca_topic_score_codex":0.00031379773,"about_ca_topic_score_gemma":0.0016463668,"teacher_disagreement_score":0.20449463,"about_ca_system_score_codex":0.00006107422,"about_ca_system_score_gemma":0.0000022689226,"threshold_uncertainty_score":0.9999396},"labels":[],"label_agreement":null},{"id":"W2140250599","doi":"10.7202/021997ar","title":"Développement d’une spatio-carte orientée vers la planification urbaine : résultats préliminaires","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.0063077035657074145,"score_gpt":0.20436867072378861,"score_spread":0.1980609671580812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140250599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8899828,0.0020908623,0.002176315,0.09694234,0.00033619095,0.00033214505,0.000038642567,0.000105060215,0.007995645],"genre_scores_gemma":[0.98474026,0.0017786358,0.0012366681,0.0009221982,0.00027939334,0.00007400245,0.0000826888,0.000034859386,0.01085128],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971053,0.000327875,0.00055737223,0.0007021569,0.00054705434,0.00076026237],"domain_scores_gemma":[0.99832994,0.00038165718,0.00020908962,0.0005731124,0.00004590896,0.00046032196],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086682563,0.00039033187,0.0003555722,0.0002355278,0.00054966396,0.000110663335,0.00043954537,0.00037210752,0.002240453],"category_scores_gemma":[0.00024319084,0.00039491177,0.00035303106,0.0016348177,0.005088491,0.00039299633,0.000073510695,0.000451608,0.0008899323],"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":[0.00022648924,0.0012179214,0.47821522,0.00012655559,0.00047247615,0.00008473391,0.04377776,0.009580478,0.0008001957,0.008949518,0.05469741,0.40185127],"study_design_scores_gemma":[0.0007804334,0.00011597299,0.47420835,0.000039289953,0.0003685509,0.000027258044,0.0015200461,0.002947408,0.0003368227,0.00067699864,0.51851124,0.00046759995],"about_ca_topic_score_codex":0.056515954,"about_ca_topic_score_gemma":0.19297434,"teacher_disagreement_score":0.46381384,"about_ca_system_score_codex":0.0015056372,"about_ca_system_score_gemma":0.00021616023,"threshold_uncertainty_score":0.999888},"labels":[],"label_agreement":null},{"id":"W2155749386","doi":"10.1007/s10705-012-9519-8","title":"A GIS-based fertilizer decision support system for farmers in Northeast China: a case study at Tong-le village","year":2012,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science and Technology Infrastructure Program","keywords":"Precision agriculture; Agriculture; Fertilizer; Geographic information system; Agricultural engineering; Decision support system; Nutrient management; Computer science; Environmental science; Database; Remote sensing; Engineering; Geography; Agronomy; Data mining","score_opus":0.014217672191380013,"score_gpt":0.2555265965722325,"score_spread":0.24130892438085247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155749386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995982,0.00008213565,0.0010158838,0.000037074755,0.00049593986,0.0017179169,0.000023864739,0.00006197751,0.0005832336],"genre_scores_gemma":[0.99917746,0.0000018510624,0.00012980199,0.000024773328,0.00006404544,0.00047624117,0.000020407639,0.000030530693,0.00007490393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679434,0.00028395824,0.000983349,0.0006439812,0.0005290668,0.00076527346],"domain_scores_gemma":[0.9986111,0.00036939522,0.00019694216,0.00054819655,0.000015144094,0.0002592447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026299837,0.00029593514,0.00060184015,0.00021691385,0.0002706739,0.00004446733,0.00025623082,0.00014087427,0.0001255032],"category_scores_gemma":[0.00011253189,0.00024324906,0.00022956824,0.0006817845,0.000047072608,0.00023039432,0.0001428536,0.0001563561,0.00012536318],"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":[0.00028262855,0.0014428964,0.98920774,0.00011105473,0.000017265822,0.00026144125,0.00350966,0.0039521325,0.00016321822,0.000004111289,0.000042375803,0.0010054555],"study_design_scores_gemma":[0.019781007,0.0010131381,0.7051373,0.00059713016,0.00024323376,0.00084602437,0.08730921,0.17767458,0.0008901008,0.000036443886,0.004692413,0.0017794167],"about_ca_topic_score_codex":0.012830762,"about_ca_topic_score_gemma":0.040439915,"teacher_disagreement_score":0.28407046,"about_ca_system_score_codex":0.001167687,"about_ca_system_score_gemma":0.000022994927,"threshold_uncertainty_score":0.9937429},"labels":[],"label_agreement":null},{"id":"W2157872803","doi":"10.5539/mas.v4n7p72","title":"Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region)","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Analytic hierarchy process; Computer science; Land use; Fuzzy set; Set (abstract data type); Statistics; Data mining; Environmental science; Mathematics; Operations research; Artificial intelligence; Civil engineering","score_opus":0.04897064571727718,"score_gpt":0.2982372322738434,"score_spread":0.24926658655656622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157872803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98692876,0.0000031605616,0.0053171143,0.00007402398,0.00011286884,0.0006618465,0.0000013338564,0.000050736555,0.0068501425],"genre_scores_gemma":[0.9992496,3.040483e-7,0.00057308155,0.000044366992,0.000034210658,0.000061684186,0.0000019540012,0.0000074049467,0.000027391236],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739164,0.000085132975,0.00029096546,0.00083039195,0.00103767,0.00036417702],"domain_scores_gemma":[0.9987653,0.00006902772,0.00011683654,0.00081614,0.00006250995,0.00017019986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038503432,0.00014995811,0.00018433685,0.000074440766,0.00082398974,0.00014656167,0.00041523695,0.000068413494,0.00026820716],"category_scores_gemma":[0.00016756041,0.00012511614,0.000048417627,0.00084270816,0.00092360744,0.0003762258,0.00017370624,0.0002258094,0.000069151],"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":[0.000019320063,0.00041024224,0.7199421,0.000002970799,0.00000578266,0.000026688127,0.0038693924,0.0016239889,0.19577794,0.000061976876,0.0000071388754,0.07825244],"study_design_scores_gemma":[0.00044786258,0.000026470638,0.32246614,9.3703255e-7,0.00006909929,0.00014193544,0.002400288,0.66991866,0.00035089563,0.0039307093,0.000025165295,0.00022188001],"about_ca_topic_score_codex":0.0029644913,"about_ca_topic_score_gemma":0.0069993525,"teacher_disagreement_score":0.66829467,"about_ca_system_score_codex":0.00022646165,"about_ca_system_score_gemma":0.00006838836,"threshold_uncertainty_score":0.6337546},"labels":[],"label_agreement":null},{"id":"W2158479382","doi":"10.5267/j.msl.2012.11.027","title":"Evaluation of agricultural ecological environment in determining the capable areas: A case study of city of Esfahan, Iran","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Environmental resource management; Geography; Ecology; Environmental science; Archaeology; Biology","score_opus":0.03201215533438397,"score_gpt":0.24396285334088116,"score_spread":0.21195069800649718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158479382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825925,0.0000017763305,0.00001575091,0.0003118539,0.000017609076,0.00067850744,5.1134253e-7,0.0000024804065,0.0007122825],"genre_scores_gemma":[0.99972534,0.0000011611921,0.000102883394,0.00008518529,0.0000022440788,0.000070202695,3.7511236e-7,0.0000012255508,0.000011393749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791795,0.00018224394,0.0003129715,0.0002744754,0.0011236634,0.00018867308],"domain_scores_gemma":[0.9994806,0.00005199428,0.00014700758,0.00028050382,0.0000095387795,0.000030327368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026864351,0.00007999961,0.00014647831,0.00007164044,0.00010069612,0.000015545404,0.0003662613,0.000013940446,0.00062651554],"category_scores_gemma":[0.00004959757,0.000045703186,0.000042133863,0.0005587043,0.00054343365,0.00024064837,0.00027813282,0.00004858633,0.000008149487],"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":[0.0000013638092,0.00047353533,0.954607,0.000005362461,0.00001297233,0.000004529632,0.0025178469,0.033758402,0.002184482,0.0000014760034,0.000026422322,0.006406586],"study_design_scores_gemma":[0.00037068906,0.00008200908,0.9776367,0.0000038534595,0.00008023587,0.0000017448104,0.016052436,0.0054647448,0.00021494186,0.000033847355,0.0000016790768,0.000057147787],"about_ca_topic_score_codex":0.0045788963,"about_ca_topic_score_gemma":0.001147537,"teacher_disagreement_score":0.028293656,"about_ca_system_score_codex":0.0001682016,"about_ca_system_score_gemma":0.0000015274077,"threshold_uncertainty_score":0.69219524},"labels":[],"label_agreement":null},{"id":"W2162199447","doi":"","title":"Developing a Suitability Index for Residential Land Use: A case study in Dianchi Drainage Area","year":2006,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":37,"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":"Drainage; Index (typography); Environmental science; Hydrology (agriculture); Water resource management; Land use; Forestry; Geography; Civil engineering; Engineering; Geotechnical engineering; Computer science; Ecology","score_opus":0.016776388104860904,"score_gpt":0.22597524526806595,"score_spread":0.20919885716320505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162199447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987833,0.00001040528,0.00005494203,0.00013913203,0.00007038619,0.00073574734,0.00004538113,0.000022459415,0.0001382577],"genre_scores_gemma":[0.9527578,0.0000030673073,0.0003845233,0.0000046790033,0.000011709101,0.000003932625,0.0002272558,0.00001338275,0.04659367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844694,0.00013058244,0.0002206802,0.0005781641,0.0003028979,0.00032072872],"domain_scores_gemma":[0.99923694,0.00013755244,0.00017740621,0.0003428702,0.000037090664,0.00006811166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043659934,0.0002301448,0.00047311955,0.00019740849,0.00026012992,0.000040539657,0.00027282748,0.00022240698,0.0002718651],"category_scores_gemma":[0.00005699804,0.0002486218,0.00019080531,0.000390656,0.00013587721,0.0003476548,0.0001148026,0.00018665924,0.000009247096],"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":[0.0002601845,0.0003027408,0.92028147,0.00012788102,0.000060721435,0.00071961555,0.07654889,0.00045797232,0.000023710902,0.000004582283,0.00013778236,0.0010744684],"study_design_scores_gemma":[0.0011072865,0.000088125395,0.7534571,0.000038601447,0.00015976024,0.000008864977,0.24386238,0.00059802353,0.000017724433,0.00029658346,0.00005841433,0.00030711875],"about_ca_topic_score_codex":0.82498026,"about_ca_topic_score_gemma":0.9889963,"teacher_disagreement_score":0.16731349,"about_ca_system_score_codex":0.0003351691,"about_ca_system_score_gemma":0.000050955317,"threshold_uncertainty_score":0.9999966},"labels":[],"label_agreement":null},{"id":"W2163994735","doi":"10.1504/ijep.2010.035348","title":"Risk assessment of land-use suitability and application to Tangshan City","year":2010,"lang":"en","type":"article","venue":"International Journal of Environment and Pollution","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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 Toronto","funders":"","keywords":"Land-use planning; Land use; Environmental planning; Risk assessment; Environmental resource management; Environmental science; Civil engineering; Computer science; Engineering","score_opus":0.005999868597690887,"score_gpt":0.25023294714169053,"score_spread":0.24423307854399964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163994735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99293816,0.000011065233,0.0057939617,0.00089060067,0.00008637527,0.00006602365,0.00003006475,0.0000021091705,0.0001816655],"genre_scores_gemma":[0.99764687,0.00012485674,0.0020667717,0.00006702363,0.00005531216,0.0000023772157,0.00000409648,0.0000025182358,0.000030165324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991546,0.000042374206,0.00026624615,0.00012448456,0.00034229265,0.000069980844],"domain_scores_gemma":[0.99952877,0.00005192977,0.00021424583,0.00009630286,0.000016637503,0.000092095186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058388634,0.00006607127,0.000112390364,0.00005119132,0.000046092555,0.000023779805,0.0001122907,0.000042536212,0.0004270896],"category_scores_gemma":[0.00008342577,0.00005252851,0.00004984885,0.000041566527,0.00011881939,0.00023777962,0.0000932184,0.00013190671,0.00000384428],"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":[0.000031525997,0.00008653401,0.9645962,0.0000010823826,0.000027708375,5.086047e-7,0.00011615699,0.0007387913,0.011792765,0.00006780496,0.000027256,0.022513635],"study_design_scores_gemma":[0.00023367854,0.00006704615,0.993161,0.0000030232227,0.0000326384,0.000009742932,0.000025105199,0.001550274,0.0004283204,0.00081479165,0.003619991,0.000054336422],"about_ca_topic_score_codex":0.00058563985,"about_ca_topic_score_gemma":0.00030409754,"teacher_disagreement_score":0.02856482,"about_ca_system_score_codex":0.0000650061,"about_ca_system_score_gemma":0.0000050248063,"threshold_uncertainty_score":0.4676332},"labels":[],"label_agreement":null},{"id":"W2165902512","doi":"10.5539/jas.v6n4p199","title":"Evaluation of Agricultural Soil Resources Using Fuzzy Modeling","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Randomness; Soil science; Agriculture; Humus; Environmental science; Simple (philosophy); Agricultural engineering; Mathematics; Computer science; Statistics; Artificial intelligence; Soil water; Engineering; Geography","score_opus":0.028036560388317647,"score_gpt":0.2542278655034094,"score_spread":0.22619130511509178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165902512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602115,0.00006332256,0.00016003518,0.00019310837,0.00012553194,0.00005367572,5.05445e-7,0.0000048564216,0.0033778152],"genre_scores_gemma":[0.99901146,0.0000063071584,0.0008152626,0.000018341132,0.00012150962,5.4682863e-7,3.406835e-7,0.0000016791558,0.00002457954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9964222,0.00018637323,0.00048727388,0.00019685978,0.002460851,0.00024644853],"domain_scores_gemma":[0.9987731,0.000048138612,0.00042433295,0.00012002279,0.00048378104,0.00015065128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054676346,0.00011279007,0.00022956719,0.00006276208,0.00027467048,0.000072131064,0.0005048323,0.000042433825,0.00013265366],"category_scores_gemma":[0.000584086,0.000053927233,0.00016475994,0.001038297,0.00029978485,0.00096947857,0.000115268136,0.00013301983,0.000008803226],"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":[0.000004333049,0.000044214506,0.010668124,0.0000027564458,0.0000119817005,1.4711247e-7,0.0009440778,0.7983525,0.185564,0.0000136857825,0.00003935156,0.0043548485],"study_design_scores_gemma":[0.00030754905,0.00010681121,0.83578604,0.000039889877,0.00023559344,0.00007022435,0.0024069322,0.15583853,0.0043999786,0.00062668143,0.000019657917,0.00016213272],"about_ca_topic_score_codex":0.0004124643,"about_ca_topic_score_gemma":0.00015315534,"teacher_disagreement_score":0.8251179,"about_ca_system_score_codex":0.00031767442,"about_ca_system_score_gemma":0.00003774947,"threshold_uncertainty_score":0.21990888},"labels":[],"label_agreement":null},{"id":"W2169665807","doi":"10.1111/j.1467-9671.2011.01275.x","title":"Local Weighted Linear Combination","year":2011,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":109,"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":"Range (aeronautics); Function (biology); Weight function; Base (topology); Mathematical optimization; Computer science; Mathematics; Statistics; Engineering","score_opus":0.01746344148357046,"score_gpt":0.21872963902793435,"score_spread":0.2012661975443639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169665807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71478117,0.0000088675915,0.24235335,0.00019303542,0.00007190165,0.0000739234,0.0000029017558,0.000047956702,0.04246689],"genre_scores_gemma":[0.9980295,0.00001000698,0.0011083678,0.000040052477,0.0000025102092,0.000010818003,0.0000023435143,0.0000033130814,0.0007931247],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995294,0.00003087082,0.000112556314,0.00012573034,0.00010011794,0.00010128162],"domain_scores_gemma":[0.99981755,0.000016116928,0.000011540691,0.000118617485,0.0000030960825,0.00003305293],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010978586,0.00004878102,0.00006522539,0.000038287893,0.000058157617,0.0000027599726,0.00007361329,0.00004325019,0.02138807],"category_scores_gemma":[0.0000020850894,0.000043108303,0.000044335855,0.0003213309,0.000105138075,0.00011634552,0.000003036045,0.00008441628,0.00042009936],"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":[0.00013004593,0.0030230857,0.35749948,0.000017869803,0.000071068534,0.000023468765,0.014551761,0.0073560206,0.0004168185,0.00053299835,0.00021598519,0.6161614],"study_design_scores_gemma":[0.0011937576,0.00014646667,0.83457834,0.000009573463,0.0000849503,0.0000075965204,0.0012578178,0.14116322,0.0061184578,0.006883426,0.008170718,0.00038569086],"about_ca_topic_score_codex":0.0041777366,"about_ca_topic_score_gemma":0.003734984,"teacher_disagreement_score":0.6157757,"about_ca_system_score_codex":0.00006524736,"about_ca_system_score_gemma":0.0000029934083,"threshold_uncertainty_score":0.9795065},"labels":[],"label_agreement":null},{"id":"W2185620330","doi":"","title":"Cadre de gestion pour les sols ayant une teneur de fond naturelle en nickel plus élevée que le critère a de la politique de protection des sols et de réhabilitation des terrains contaminés dans la région de Magog-Orford","year":2014,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Political science","score_opus":0.009876545869365736,"score_gpt":0.21890589780906428,"score_spread":0.20902935193969854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185620330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6617479,0.0005516739,0.33181566,0.0014024264,0.000034670036,0.00023749526,0.000018936305,0.00003664068,0.0041546],"genre_scores_gemma":[0.9785462,0.0005340529,0.019378945,0.000051265535,0.000061316816,0.000007282871,0.00000942033,0.000020472091,0.0013910602],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99619055,0.0023462323,0.00028799401,0.00037300348,0.00025812682,0.0005441057],"domain_scores_gemma":[0.99871737,0.00055914896,0.00012961845,0.00026589632,0.000099307064,0.00022864238],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021200443,0.0002710493,0.00031710454,0.00010880227,0.0009382394,0.000044724155,0.0005042219,0.00057131605,0.000031733663],"category_scores_gemma":[0.0008258035,0.0002724699,0.00036453005,0.00030573958,0.0026833797,0.0004304346,0.00021097608,0.000539795,0.000006804699],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032566383,0.0010017578,0.29537743,0.002327457,0.00016861109,0.000020124478,0.07046235,0.28749782,0.30787086,0.028692452,0.00016194263,0.006093518],"study_design_scores_gemma":[0.001075249,0.0001554651,0.7741351,0.0016294117,0.0003058342,0.00029645648,0.004772032,0.15580611,0.040227458,0.019723881,0.001595611,0.000277407],"about_ca_topic_score_codex":0.20386447,"about_ca_topic_score_gemma":0.31638375,"teacher_disagreement_score":0.47875765,"about_ca_system_score_codex":0.009300828,"about_ca_system_score_gemma":0.0011231593,"threshold_uncertainty_score":0.99997276},"labels":[],"label_agreement":null},{"id":"W2205523267","doi":"10.6084/m9.figshare.1352071.v1","title":"Soil aggregation data from Tabi et al. (1990)","year":2015,"lang":"en","type":"article","venue":"Figshare","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Data aggregator; Computer science","score_opus":0.10811461969955054,"score_gpt":0.2895975544114655,"score_spread":0.18148293471191496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205523267","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1727588,0.0006103831,0.000027877448,0.009054364,0.0002008918,0.00031592156,0.72374266,0.000287082,0.093002036],"genre_scores_gemma":[0.50249326,0.0000047790295,0.00021790585,0.005019809,0.000066111876,0.000032872296,0.49122822,0.000012705505,0.0009243235],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913394,0.000050564093,0.000101547164,0.00030933457,0.0002821982,0.00012238427],"domain_scores_gemma":[0.99914473,0.000071246206,0.00004087623,0.00062340207,0.000008934141,0.00011081854],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012657502,0.00007352778,0.00008444851,0.000009943557,0.000042517426,0.00004621661,0.00042907576,0.000037852846,0.36284426],"category_scores_gemma":[0.0008566685,0.00006083441,0.000027665968,0.00014164254,0.000009337729,0.0004063049,0.00048782938,0.00007550658,0.023399973],"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":[0.000003087822,0.000022501687,0.008429012,0.0000013081985,0.0000061107785,0.0000026126706,0.00012728189,0.0002796494,0.00001055408,2.5029118e-7,0.98521626,0.0059014005],"study_design_scores_gemma":[0.00016816174,0.000010130394,0.028004162,0.000040737472,0.000009387074,7.220726e-7,0.00008437956,0.021104675,0.00009173772,0.0002672262,0.95009595,0.00012270806],"about_ca_topic_score_codex":0.0019888312,"about_ca_topic_score_gemma":0.0029626559,"teacher_disagreement_score":0.33944428,"about_ca_system_score_codex":0.00004556173,"about_ca_system_score_gemma":0.000015836806,"threshold_uncertainty_score":0.9773604},"labels":[],"label_agreement":null},{"id":"W2286790762","doi":"10.5539/jas.v8n2p151","title":"Environmental Soil Quality Research as Prediction for Sustainable Orchards Cultivation in Southern Serbia","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Humus; Soil fertility; Soil quality; Sustainable agriculture; Soil test; Nutrient; Productivity; Soil nutrients; Agronomy; Agriculture; Agricultural engineering; Soil science; Soil water; Chemistry; Geography; Engineering","score_opus":0.022225547630538012,"score_gpt":0.29659133762366946,"score_spread":0.27436578999313144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286790762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99734795,0.000015500835,0.00006955238,0.0014977668,0.00004203172,0.00015116617,0.000006077994,0.00000474081,0.0008652202],"genre_scores_gemma":[0.9967787,0.000019154599,0.00008221796,0.000024775032,0.00006866206,0.000008398637,9.1047383e-7,0.0000022338422,0.003014936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976501,0.00014284947,0.00039408877,0.00023994861,0.0011497266,0.00042332322],"domain_scores_gemma":[0.99923265,0.00023290576,0.00017383575,0.00010901442,0.00010625378,0.00014534593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053301933,0.00008200871,0.00014192062,0.00009528089,0.0003454777,0.00006790879,0.00038726308,0.00004967825,0.00040650298],"category_scores_gemma":[0.001024645,0.000037338126,0.00011551998,0.00076868135,0.0005358543,0.0013326668,0.00012923793,0.0001334426,0.00006790226],"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":[0.000118361706,0.00021942843,0.6505342,0.000009461589,0.000010406059,0.000004676428,0.0034788046,0.00067040604,0.33607385,0.00014538773,0.0010643353,0.0076707024],"study_design_scores_gemma":[0.00044056703,0.00019722358,0.9801896,0.000018090237,0.0000064049236,0.000011080469,0.012786771,0.00003262227,0.0038737922,0.0015670782,0.0007963765,0.000080349826],"about_ca_topic_score_codex":0.0008544202,"about_ca_topic_score_gemma":0.0002280491,"teacher_disagreement_score":0.33220005,"about_ca_system_score_codex":0.0010884028,"about_ca_system_score_gemma":0.00004853187,"threshold_uncertainty_score":0.44509226},"labels":[],"label_agreement":null},{"id":"W2287449378","doi":"10.5539/jgg.v8n2p1","title":"Evaluation of Combating Desertification Alternatives Using Promethee Model","year":2016,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Desertification; Ranking (information retrieval); Land reclamation; Delphi method; Vegetation (pathology); Environmental science; Computer science; Environmental resource management; Geography; Artificial intelligence; Ecology","score_opus":0.046885591417288604,"score_gpt":0.2976947874739014,"score_spread":0.2508091960566128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287449378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907836,0.00016512485,0.008457268,0.0002446787,0.000021702255,0.000034357523,6.707958e-7,0.000001168013,0.0002914815],"genre_scores_gemma":[0.9980622,0.00005114023,0.0018539474,0.00001398346,0.000010215113,8.386976e-7,1.4964415e-7,0.0000013765575,0.0000061410083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913156,0.00019399964,0.00024563982,0.00007495797,0.00028107202,0.000072786504],"domain_scores_gemma":[0.99943835,0.00008916579,0.0002753998,0.00006492938,0.00010175299,0.000030399386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021615494,0.000041933734,0.0001225016,0.00009351859,0.000042630487,0.0000031153297,0.000070719114,0.00003574271,0.00020253153],"category_scores_gemma":[0.00018428595,0.000024026158,0.000068556714,0.00011562806,0.00020255802,0.00015593861,0.000025714004,0.00004037489,6.341038e-7],"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":[0.000022920545,0.0000516773,0.8853508,0.000002818571,0.000058153466,2.2596055e-7,0.00031212837,0.010081855,0.015436639,0.000060479142,0.0000021978035,0.08862006],"study_design_scores_gemma":[0.00062332687,0.00014446912,0.7644062,0.000020518259,0.0002448781,0.000019074252,0.00017074212,0.1728481,0.0018899016,0.059549637,0.00001611029,0.000067054316],"about_ca_topic_score_codex":0.00008270841,"about_ca_topic_score_gemma":0.00003806808,"teacher_disagreement_score":0.16276625,"about_ca_system_score_codex":0.000016504013,"about_ca_system_score_gemma":0.0000109644325,"threshold_uncertainty_score":0.22175783},"labels":[],"label_agreement":null},{"id":"W2318314947","doi":"10.1142/9789814723008_0025","title":"Estimating Microbial Quantity in Mangrove Soil by Using a Mathematical Model","year":2015,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mangrove; Environmental science; Computer science; Ecology; Biology","score_opus":0.03943425769280515,"score_gpt":0.26815975923850105,"score_spread":0.2287255015456959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318314947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9258891,0.0000041604553,0.064753614,0.00008912064,0.000024997464,0.000041349205,0.0000020132231,0.00001845619,0.009177212],"genre_scores_gemma":[0.95604587,1.7430598e-7,0.043254577,0.00012291696,0.000016412387,0.0000020588318,0.0000022041168,0.0000049037058,0.0005508919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992445,0.000030290415,0.0001796114,0.00018519403,0.00017561142,0.00018479643],"domain_scores_gemma":[0.9997216,0.000024908195,0.000024523655,0.00013649675,0.0000035928228,0.000088901696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040156007,0.00007574035,0.0001353673,0.000016738692,0.00003704189,0.000026851989,0.00010850429,0.000045398214,0.0005829734],"category_scores_gemma":[0.000086943095,0.000059825958,0.000041570514,0.00013918933,0.00007269924,0.00015803889,0.000111914895,0.00006690144,0.0002099633],"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":[0.00002273893,0.00044279374,0.1375497,0.000019688943,0.000011251513,0.000004453984,0.002110898,0.83629465,0.011234556,0.00021993404,0.009827224,0.0022621066],"study_design_scores_gemma":[0.00018029737,0.000006166816,0.0001310811,0.0000039967977,0.000008283771,0.0000024378471,0.00015839229,0.9939838,0.00022824404,0.005191179,0.00001604153,0.000090076326],"about_ca_topic_score_codex":0.0037862407,"about_ca_topic_score_gemma":0.0014239311,"teacher_disagreement_score":0.15768915,"about_ca_system_score_codex":0.00013304618,"about_ca_system_score_gemma":0.000010372054,"threshold_uncertainty_score":0.63831496},"labels":[],"label_agreement":null},{"id":"W2333410646","doi":"10.14710/tataloka.15.4.293-305","title":"MODEL KESESUAIAN LAHAN BERBASIS KERAWANAN BENCANA ALAM, UJI COBA: KOTA SEMARANG","year":2013,"lang":"en","type":"article","venue":"Jurnal Tataloka","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Encana (Canada)","funders":"","keywords":"Font; Geography; Computer science; Artificial intelligence","score_opus":0.011221595183596566,"score_gpt":0.2103520282137895,"score_spread":0.19913043303019295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333410646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97338605,0.00007468664,0.00028701246,0.0018079382,0.000075400276,0.0001731908,0.000037574737,0.000055695386,0.024102474],"genre_scores_gemma":[0.9938246,0.000032898046,0.0007501232,0.0008302535,0.00007676067,0.000037016394,0.00004085274,0.000021131658,0.004386364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979413,0.00008894257,0.0003752823,0.00046941664,0.0005815974,0.0005434551],"domain_scores_gemma":[0.99894416,0.00007946465,0.00010162519,0.00048550015,0.000022654263,0.00036659415],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038086146,0.00023945652,0.00030478602,0.000064506385,0.00031044925,0.00013111091,0.00045276826,0.000102666934,0.0054086074],"category_scores_gemma":[0.000074130236,0.00019183713,0.00023055467,0.0003974659,0.00021560218,0.0006242029,0.00019703855,0.00024193423,0.0024460626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050203475,0.00044944746,0.8196584,0.000038910617,0.0002141074,0.000054179774,0.0023650145,0.018735593,0.003425524,0.00020786368,0.051215276,0.10358546],"study_design_scores_gemma":[0.0010532717,0.00014198462,0.7039569,0.00004332384,0.00022491113,0.00007049512,0.00126208,0.26558813,0.0008197764,0.006894814,0.018770153,0.001174186],"about_ca_topic_score_codex":0.011367943,"about_ca_topic_score_gemma":0.0050237747,"teacher_disagreement_score":0.24685253,"about_ca_system_score_codex":0.0001800853,"about_ca_system_score_gemma":0.000025516008,"threshold_uncertainty_score":0.99833065},"labels":[],"label_agreement":null},{"id":"W2340208800","doi":"10.14288/1.0042223","title":"Gravel extraction and land reclamation within the Agricultural Land Reserve : policies and objectives","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Soil and Land Suitability Analysis","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":"University of British Columbia","funders":"","keywords":"Land reclamation; Agricultural land; Agriculture; Extraction (chemistry); Land use; Environmental resource management; Water resource management; Natural resource economics; Nature reserve; Business; Environmental science; Geography; Environmental protection; Economics; Engineering; Civil engineering; Archaeology","score_opus":0.006140445542259631,"score_gpt":0.17425614411697993,"score_spread":0.1681156985747203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340208800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997374,0.00006806888,0.000018306142,0.00056205253,0.000012499493,0.000075626456,0.000011295202,0.000013237428,0.0018649346],"genre_scores_gemma":[0.9993962,0.00009207294,0.0000738976,0.000026822114,0.000009457138,1.3736046e-7,0.000005175715,0.0000011949253,0.0003950197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995244,0.000053734413,0.00005631422,0.0001614525,0.00012204969,0.00008204528],"domain_scores_gemma":[0.9997726,0.00003648276,0.000055780096,0.000079827245,0.000014139284,0.000041182353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017083247,0.000024915245,0.000092527414,0.0000097163165,0.00030616458,0.00007675728,0.00007191365,0.000042173917,0.000038682367],"category_scores_gemma":[0.000023964676,0.00004489363,0.000028757968,0.00014777834,0.0002160939,0.000301468,0.000044798362,0.000065288965,0.000002446333],"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":[0.000010865874,0.000040162562,0.8698358,0.000008014519,0.00001600613,0.0000047474177,0.0020661848,0.000056399524,0.00052385335,0.0000018623847,0.00032963554,0.1271065],"study_design_scores_gemma":[0.00022198286,0.000045088556,0.99394727,0.000012776158,0.000026898191,0.000033353164,0.0044448557,0.00032562017,0.0000016461271,0.0008486011,0.000027028987,0.0000648803],"about_ca_topic_score_codex":0.21172477,"about_ca_topic_score_gemma":0.606389,"teacher_disagreement_score":0.3946642,"about_ca_system_score_codex":0.000025982808,"about_ca_system_score_gemma":0.0000032543976,"threshold_uncertainty_score":0.79352444},"labels":[],"label_agreement":null},{"id":"W2340925804","doi":"10.3390/su8040368","title":"Using GIS towards the Characterization and Soil Mapping of the Caia Irrigation Perimeter","year":2016,"lang":"en","type":"article","venue":"Sustainability","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Soil map; Environmental science; Irrigation; Digital soil mapping; Geographic information system; Soil water; Soil classification; Hydrology (agriculture); Soil science; Geology; Remote sensing; Geotechnical engineering; Agronomy","score_opus":0.018634993888282127,"score_gpt":0.23593700037806914,"score_spread":0.217302006489787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340925804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99402475,0.000005766793,0.0021870828,0.0033876768,0.000032239343,0.00016195547,0.0000046624596,0.000007210104,0.0001886547],"genre_scores_gemma":[0.99962384,0.0000016095076,0.000030966272,0.000055289154,0.000013438422,0.000006069812,8.2751416e-7,0.0000029538216,0.00026500603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918646,0.0001782418,0.00015929736,0.00017673241,0.00017051202,0.00012877397],"domain_scores_gemma":[0.99948376,0.000054581422,0.00007401379,0.00031659033,0.00004664313,0.000024396655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060399907,0.00006553635,0.000089232824,0.000010859913,0.00019069864,0.000015769694,0.00012644118,0.00003594291,0.00026582438],"category_scores_gemma":[0.00040719841,0.000027419459,0.00006217663,0.0002111799,0.00047119748,0.00016475903,0.00016526371,0.00003931188,0.0000013895428],"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":[0.000008660962,0.000023255729,0.92097217,0.000024273513,0.000007747163,1.1655775e-7,0.0018396261,0.000052285624,0.023992104,0.00009725443,0.0000030240299,0.052979503],"study_design_scores_gemma":[0.000075533484,0.0000074286318,0.98976654,0.0000048870725,0.000016275588,8.033142e-7,0.0004877825,0.0012354603,0.0027887656,0.005086892,0.0004793523,0.00005030398],"about_ca_topic_score_codex":0.0017046866,"about_ca_topic_score_gemma":0.00012697294,"teacher_disagreement_score":0.06879437,"about_ca_system_score_codex":0.0003015633,"about_ca_system_score_gemma":0.00003573377,"threshold_uncertainty_score":0.29105905},"labels":[],"label_agreement":null},{"id":"W2342357314","doi":"10.12735/as.v3i2p13","title":"Quantitative Assessment on Spatial Suitability for Tobacco Planting in Bozhou in Northern Anhui Province, China","year":2015,"lang":"en","type":"article","venue":"Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Sowing; Geography; Archaeology; Biology; Botany","score_opus":0.019374341418847967,"score_gpt":0.2748145464333557,"score_spread":0.2554402050145077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342357314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99285334,0.0000055650044,0.000068049376,0.0005816313,0.00008649006,0.00043912994,0.000007701353,0.00001889816,0.005939198],"genre_scores_gemma":[0.9990324,0.0000010161799,0.00077748654,0.00004197531,0.0000207978,0.000046482048,0.000009623055,0.0000025678908,0.00006770173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797,0.000082545084,0.00028838613,0.00058025867,0.00060831365,0.00047049698],"domain_scores_gemma":[0.9994209,0.00014405932,0.00008655998,0.0001747191,0.0000302113,0.00014357174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018066335,0.00014680247,0.00020340139,0.0000558869,0.00016561458,0.00007666403,0.00041836183,0.00004317701,0.000030614538],"category_scores_gemma":[0.00046423185,0.00008586773,0.000056422956,0.0010371106,0.00031130452,0.0005905022,0.00015805678,0.00014523977,0.00003552518],"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":[0.00003372762,0.00016929327,0.98506784,0.0000026509656,0.0000012659971,0.0000023072294,0.00086945045,0.0072932187,0.0010150439,0.00013476166,0.00003174327,0.005378671],"study_design_scores_gemma":[0.00035406474,0.00022186189,0.99181366,0.000012201547,0.0000029557477,0.0000010925914,0.0015972683,0.0051542204,0.00022171406,0.00037235074,0.00007997008,0.00016866188],"about_ca_topic_score_codex":0.018241674,"about_ca_topic_score_gemma":0.26014674,"teacher_disagreement_score":0.24190506,"about_ca_system_score_codex":0.0007912596,"about_ca_system_score_gemma":0.000085327774,"threshold_uncertainty_score":0.9882959},"labels":[],"label_agreement":null},{"id":"W2346052656","doi":"10.1111/gean.12103","title":"Comparison of GIS‐Based Logic Scoring of Preference and Multicriteria Evaluation Methods: Urban Land Use Suitability","year":2016,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytic hierarchy process; Computer science; Data mining; Process (computing); Evaluation methods; Range (aeronautics); Operations research; Mathematics; Reliability engineering; Engineering","score_opus":0.09556682030056464,"score_gpt":0.36184335264696826,"score_spread":0.26627653234640364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346052656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97930694,0.0001020335,0.020224936,0.00013763702,0.000011815503,0.00011949541,0.000023686127,0.000012400669,0.000061047045],"genre_scores_gemma":[0.9899678,0.000023152035,0.009953728,0.000013583548,0.0000047398885,0.000014565158,0.00001179179,0.0000031930463,0.0000074253508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997636,0.00067520014,0.0005424953,0.00045878827,0.0004889895,0.00019851551],"domain_scores_gemma":[0.9982284,0.00089703343,0.0002045707,0.00047761222,0.00008122361,0.00011117167],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020747194,0.00013503045,0.000571916,0.00021867489,0.00006702225,0.000017677014,0.00016997266,0.00009242648,0.0015459056],"category_scores_gemma":[0.0006756717,0.00008205088,0.00032580303,0.0015800131,0.00056929654,0.00015770154,0.000114571965,0.00006614054,0.0000023933846],"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":[0.00004415148,0.00019928087,0.977284,0.000019320012,0.00020743854,1.0761217e-7,0.00012246771,0.00082142005,0.004884864,0.000019089593,0.00000178406,0.01639604],"study_design_scores_gemma":[0.00032289056,0.000061246945,0.9433934,0.000011290265,0.0017296216,8.0189785e-8,0.00003608554,0.051078208,0.0020663277,0.0011665589,0.000022120743,0.0001121815],"about_ca_topic_score_codex":0.003176576,"about_ca_topic_score_gemma":0.002359997,"teacher_disagreement_score":0.05025679,"about_ca_system_score_codex":0.000028352602,"about_ca_system_score_gemma":0.0000073362007,"threshold_uncertainty_score":0.9993668},"labels":[],"label_agreement":null},{"id":"W2371818485","doi":"","title":"Spatial variability of heavy metal contents and contamination assessment in forest soils of Daxing'an Mountains","year":2015,"lang":"en","type":"article","venue":"Shengtaixue zazhi","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Science North","funders":"","keywords":"Soil water; Pollution; Spatial variability; Spatial distribution; Environmental science; Heavy metals; Metal; Environmental chemistry; Contamination; Soil contamination; Soil test; Soil science; Geology; Chemistry; Ecology; Metallurgy; Materials science; Remote sensing","score_opus":0.0211092088084013,"score_gpt":0.2673407599053079,"score_spread":0.24623155109690661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371818485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573797,0.000011389672,0.0016345006,0.000066493725,0.000054366887,0.00017448075,0.000015000112,0.00000764566,0.0022981802],"genre_scores_gemma":[0.999538,0.0000031704703,0.00035062287,0.000019159284,0.000011862797,0.000011916483,0.000022079368,0.0000051727725,0.000038007034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985792,0.0002484407,0.00038664427,0.00026694214,0.00035651008,0.00016227535],"domain_scores_gemma":[0.99933743,0.00013426952,0.00012164968,0.00025699247,0.000039230596,0.00011042418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014439553,0.000106118896,0.00030504106,0.00004107397,0.000029321214,0.000010573889,0.00013481424,0.00006951299,0.00012349362],"category_scores_gemma":[0.00032385762,0.00009045657,0.00005203783,0.00017374463,0.00023420378,0.00027906877,0.00010653872,0.00010333514,0.0000023525465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004084835,0.00035333936,0.99167293,0.000019719402,0.000016845195,0.0000011463829,0.0010173697,0.0010335025,0.00081367674,0.000516552,0.0000031760608,0.004510866],"study_design_scores_gemma":[0.00072650064,0.00023241578,0.9632167,0.000008308414,0.000035128403,7.9305585e-7,0.0010282188,0.030394858,0.00083483144,0.0033910773,0.000033668948,0.00009746898],"about_ca_topic_score_codex":0.019919096,"about_ca_topic_score_gemma":0.014975117,"teacher_disagreement_score":0.029361356,"about_ca_system_score_codex":0.00016955276,"about_ca_system_score_gemma":0.000030895895,"threshold_uncertainty_score":0.9866074},"labels":[],"label_agreement":null},{"id":"W2389681042","doi":"","title":"Developing a WebGIS Fertilizer Decision Support System in Black Soil Zone of Northeast China——A Case Study of Shuangcheng County in Heilongjiang Province","year":2009,"lang":"en","type":"article","venue":"Bulletin of Soil and Water Conservation","topic":"Soil and Land Suitability Analysis","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":"Agriculture; Environmental science; Fertilizer; Decision support system; Geographic information system; Soil fertility; Geostatistics; Agricultural engineering; Environmental resource management; Computer science; Spatial variability; Geography; Soil water; Remote sensing; Soil science; Engineering; Mathematics; Agronomy; Statistics; Data mining","score_opus":0.012499539824427421,"score_gpt":0.2158278549706593,"score_spread":0.20332831514623187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2389681042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889934,0.000016301008,0.00008967468,0.00052685733,0.000012023219,0.00025929566,0.000004127183,0.0000072941007,0.00018510353],"genre_scores_gemma":[0.999648,0.000008902082,0.00021299416,0.000051632636,0.000003363669,0.000008200164,0.000006662952,0.000004707468,0.000055577875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852383,0.00009828282,0.00068057625,0.00026102632,0.00026892312,0.00016733489],"domain_scores_gemma":[0.9995559,0.00005655887,0.00013944574,0.00018186096,0.000032296488,0.000033962795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008199704,0.00012360174,0.0003468047,0.00009309708,0.000041573563,0.000009108304,0.000092271075,0.00006488582,0.00006077987],"category_scores_gemma":[0.00003029136,0.00009080805,0.000038184986,0.00019265436,0.00010104603,0.00006739597,0.00006971367,0.00007199934,0.0000044531466],"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":[0.0002135958,0.00040951953,0.9849004,0.000118835174,0.000009875224,0.00010089569,0.005267875,0.0014425375,0.00032276503,0.000007028994,0.000022975937,0.0071836887],"study_design_scores_gemma":[0.0012734949,0.00022022755,0.9860853,0.00014797477,0.000024168334,0.000034537497,0.006383495,0.004510195,0.0010826954,0.000047226964,0.000063012674,0.00012769499],"about_ca_topic_score_codex":0.06023865,"about_ca_topic_score_gemma":0.03515063,"teacher_disagreement_score":0.02508802,"about_ca_system_score_codex":0.00008247282,"about_ca_system_score_gemma":0.00002215742,"threshold_uncertainty_score":0.9824554},"labels":[],"label_agreement":null},{"id":"W2484314613","doi":"10.1016/b978-0-444-59424-2.00004-9","title":"Sample Collection and Management for Environmental Forensic Investigations","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Documentation; Sample (material); Computer science; Risk analysis (engineering); Data science; Liability; Data collection; Quality (philosophy); Sampling (signal processing); Business; Statistics; Telecommunications; Accounting","score_opus":0.012407772543644372,"score_gpt":0.19710274342512663,"score_spread":0.18469497088148226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484314613","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013292792,0.0001019012,0.000091310314,0.00010599733,0.000071289505,0.00096779113,0.000076357115,0.000026907053,0.99722916],"genre_scores_gemma":[0.0012813563,0.0001624171,0.0045094476,0.00028286217,0.00004849897,0.00025471605,0.00011221179,0.000030929976,0.99331754],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892694,0.0000123169075,0.00024265642,0.0004248588,0.00020643833,0.00018677198],"domain_scores_gemma":[0.99943095,0.00008199905,0.00009636661,0.0002690095,0.0000029911005,0.00011870613],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011866879,0.00022949584,0.00024145796,0.000055222088,0.00026520863,0.00003864238,0.00010189826,0.00013774647,0.002637834],"category_scores_gemma":[0.000007947261,0.00020773029,0.00014216396,0.000012015907,0.0003269715,0.000051974726,0.0001512478,0.000101100726,0.00025649156],"study_design_candidate":"design_other","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":[0.000004848104,0.0000080959,0.00082464324,0.000035937035,0.00009220278,7.084868e-7,0.00012792055,0.000006744946,0.000009440863,0.0014616512,0.0013320475,0.9960958],"study_design_scores_gemma":[0.00021733197,0.000048492428,0.0018884107,0.000025650746,0.00025056142,0.0000025911054,0.000026613023,0.00035856187,0.000012711722,0.05271825,0.9441842,0.0002666225],"about_ca_topic_score_codex":0.000012123504,"about_ca_topic_score_gemma":0.00024125326,"teacher_disagreement_score":0.99582916,"about_ca_system_score_codex":0.00017195159,"about_ca_system_score_gemma":0.0000044562676,"threshold_uncertainty_score":0.9982739},"labels":[],"label_agreement":null},{"id":"W2509061280","doi":"10.1007/s10533-016-0242-4","title":"Erratum to: The chemistry of some foliar litters and their sequential proximate analysis fractions","year":2016,"lang":"en","type":"erratum","venue":"Biogeochemistry","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Chemistry; Environmental science; Environmental chemistry; Proximate; Hydrology (agriculture); Geology; Food science; Geotechnical engineering","score_opus":0.007191648980243194,"score_gpt":0.21651399760434542,"score_spread":0.20932234862410223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509061280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7191189,0.005849541,0.00072502746,0.019548235,0.007205679,0.0013683061,0.010009439,0.00037834278,0.23579657],"genre_scores_gemma":[0.7166646,0.0012913224,0.000098660035,0.0005933005,0.0021958114,0.00019595104,0.0013999143,0.00007727476,0.27748317],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980304,0.00004645947,0.0004216568,0.0007219976,0.0003850332,0.0003944551],"domain_scores_gemma":[0.99839056,0.00007316226,0.00028055682,0.0010239988,0.000028909937,0.00020280009],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030997823,0.00038663484,0.0005836996,0.000048660248,0.00021009301,0.00005874521,0.000602452,0.0004920311,0.0025006852],"category_scores_gemma":[0.000107882195,0.00022547903,0.00054874935,0.0006619567,0.0004440894,0.00009313494,0.0004512765,0.00042520536,0.000053239542],"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":[0.00004384327,0.00018298884,0.021530405,0.00032306876,0.0025155968,0.0000069851776,0.0005272358,0.00004228138,0.065433025,0.0000037197333,0.9073508,0.0020400633],"study_design_scores_gemma":[0.00044249577,0.000039379003,0.012952228,0.00021297311,0.0038828407,0.000022885391,0.0008260451,0.0006709832,0.12182261,0.0024427783,0.8551756,0.0015091338],"about_ca_topic_score_codex":0.0009422793,"about_ca_topic_score_gemma":0.00017710119,"teacher_disagreement_score":0.05638959,"about_ca_system_score_codex":0.00014265667,"about_ca_system_score_gemma":0.000057161644,"threshold_uncertainty_score":0.9984112},"labels":[],"label_agreement":null},{"id":"W2516413947","doi":"10.5539/jas.v8n10p92","title":"Evaluation of Spatial Variability of Soil Physico-Chemical Characteristics on Rhodic Ferralsol at the Syferkuil Experimental Farm of University of Limpopo, South Africa","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsoil; Soil water; Silt; Soil science; Total organic carbon; Spatial variability; Cation-exchange capacity; Bulk density; Chemistry; Hydrology (agriculture); Mineralogy; Environmental chemistry; Environmental science; Geology; Mathematics; Geomorphology; Geotechnical engineering","score_opus":0.019985528825109893,"score_gpt":0.225959768502215,"score_spread":0.2059742396771051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516413947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99912584,0.0000129423715,0.00003965224,0.00013724022,0.000057759138,0.00008063601,0.000021382768,0.0000014034187,0.0005231507],"genre_scores_gemma":[0.9998904,0.000005783335,0.00004769007,0.0000031375173,0.00002250114,2.5619693e-7,5.857602e-7,0.0000011919708,0.000028452312],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974705,0.00024068762,0.0004136827,0.00016789405,0.001562526,0.00014473106],"domain_scores_gemma":[0.9984383,0.00019316426,0.00081489125,0.00018817394,0.0002880421,0.00007744926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00268316,0.0000917716,0.00028460118,0.00002769337,0.00009337856,0.0000049784785,0.00047913287,0.000040113093,0.00044419966],"category_scores_gemma":[0.00046528733,0.00004019253,0.00019344037,0.0003610514,0.0012611516,0.000191172,0.00018309546,0.00007150468,0.0000032531916],"study_design_candidate":"bench_or_experimental","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":[0.000120978344,0.00030161667,0.036122542,0.0000049727428,0.000020362497,1.8894487e-7,0.0024746042,0.0003274106,0.9572558,0.000014100323,0.000017008011,0.0033404152],"study_design_scores_gemma":[0.0003661512,0.00022640663,0.68705994,0.000031782485,0.00011408575,0.000002796075,0.00119956,0.00028592948,0.31058726,0.000061897365,0.0000055454993,0.000058659898],"about_ca_topic_score_codex":0.00029346737,"about_ca_topic_score_gemma":0.000042836582,"teacher_disagreement_score":0.6509374,"about_ca_system_score_codex":0.0003706095,"about_ca_system_score_gemma":0.00006784058,"threshold_uncertainty_score":0.48636746},"labels":[],"label_agreement":null},{"id":"W2527696139","doi":"10.2495/sdp-v11-n6-827-833","title":"Use of self-organizing maps in the identification of different groups of reclamation sites in the amazon Forest-Brazil","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Land reclamation; Geography; Identification (biology); Forestry; Environmental science; Archaeology; Ecology","score_opus":0.016065255839692375,"score_gpt":0.23519378828577533,"score_spread":0.21912853244608296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527696139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99896395,0.000038479273,0.00038104388,0.00047397218,0.000023925815,0.00006309442,0.000001110437,8.8567236e-7,0.000053512566],"genre_scores_gemma":[0.9996625,0.00003755869,0.0002239315,0.000022332153,0.000011608615,0.0000021705546,0.000004302467,0.000001903232,0.000033691333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987681,0.00009355216,0.0005750091,0.000064489715,0.00041537473,0.0000835019],"domain_scores_gemma":[0.99903077,0.00039040562,0.00041918815,0.00005637127,0.000092522,0.000010751938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013217661,0.000055123495,0.00011657669,0.00016335129,0.000029635785,0.000025501651,0.00024011478,0.000025592259,0.000018810506],"category_scores_gemma":[0.00026185554,0.000027293789,0.00002970699,0.00018199816,0.000041006955,0.00035066676,0.00004716022,0.000060810456,3.053364e-7],"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":[0.000056286673,0.00009094953,0.96971244,0.00002247711,0.00003073463,0.000019793957,0.024249483,0.0004970057,0.0022691607,0.00045037505,0.000043481596,0.0025577897],"study_design_scores_gemma":[0.0002495869,0.00002275866,0.9765377,0.00008291959,0.000010834978,0.000008467246,0.017573914,0.00015981757,0.0032073348,0.0019587912,0.00014996469,0.000037933103],"about_ca_topic_score_codex":0.0000855066,"about_ca_topic_score_gemma":0.000073763105,"teacher_disagreement_score":0.0068252147,"about_ca_system_score_codex":0.000103473176,"about_ca_system_score_gemma":0.000018835239,"threshold_uncertainty_score":0.11130084},"labels":[],"label_agreement":null},{"id":"W2543429353","doi":"10.5539/sar.v6n1p24","title":"Evaluation of Salt Affected Soils for Rice (Oryza Sativa) Production in Ndungu Irrigation Scheme Same District, Tanzania","year":2016,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Soil water; Irrigation; Topsoil; Agronomy; Soil salinity; Salinity; Soil science; Biology; Ecology","score_opus":0.03263961146517606,"score_gpt":0.32227451713296396,"score_spread":0.2896349056677879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543429353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99278325,0.00013317316,0.00015080135,0.0023060043,0.000029357785,0.0015908252,0.0000078490475,0.000022809196,0.0029759388],"genre_scores_gemma":[0.9948185,0.00002383185,0.00014883514,0.0000050272583,0.00008065166,0.00044455958,0.000033873046,0.000007929002,0.004436803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9959798,0.0008869745,0.00029781536,0.00050396816,0.0017252899,0.00060619425],"domain_scores_gemma":[0.9982016,0.00032951924,0.00010035098,0.00030050304,0.0009786744,0.00008935527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0082632145,0.00013081968,0.00020212709,0.00015605285,0.00023883284,0.000035983616,0.0002252173,0.00013837738,0.0003117507],"category_scores_gemma":[0.0056891823,0.00007255821,0.00008028633,0.002304769,0.00019563947,0.0005217856,0.00012342088,0.00017366438,0.000029026614],"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":[0.0004261983,0.0017868495,0.12716356,0.00079217466,0.00017688825,0.00001014409,0.003885912,0.0030300987,0.69652325,0.0032306022,0.0246812,0.1382931],"study_design_scores_gemma":[0.0016972079,0.00029682432,0.90814304,0.000082014376,0.00009716329,0.000002900386,0.008182535,0.0016189817,0.046868674,0.029834757,0.0028514024,0.00032452075],"about_ca_topic_score_codex":0.0027724511,"about_ca_topic_score_gemma":0.0016776456,"teacher_disagreement_score":0.78097945,"about_ca_system_score_codex":0.0016892928,"about_ca_system_score_gemma":0.00012589195,"threshold_uncertainty_score":0.68108934},"labels":[],"label_agreement":null},{"id":"W2547800017","doi":"10.5539/mas.v11n1p168","title":"The Effect of Land Use Changes on Desertification Hazard (Case Study: Maraveh Tappeh Region of Golestan Province, Iran)","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Desertification; Rangeland; Arid; Hazard; Environmental science; Land use; Land degradation; Physical geography; Land area; Geography; Forestry; Agroforestry; Geology; Ecology; Agricultural science","score_opus":0.023710871698413852,"score_gpt":0.2389068280344144,"score_spread":0.21519595633600055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547800017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964551,0.000005124864,0.0021276195,0.00017570153,0.000019661511,0.00048115788,0.000002909244,0.00001582005,0.0007169178],"genre_scores_gemma":[0.9996875,0.0000067742503,0.000030258389,0.000012429424,0.0000065431836,0.000046445795,2.958956e-7,0.0000051874713,0.00020459082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850297,0.000086477434,0.00019996832,0.00040892,0.0005731082,0.00022855545],"domain_scores_gemma":[0.99881214,0.00033188896,0.00014454055,0.00063029345,0.000013762122,0.00006735361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013985898,0.00011165714,0.00017136375,0.00005380606,0.00029778347,0.000037609792,0.00041846777,0.0000308534,0.000011185288],"category_scores_gemma":[0.00010426922,0.00005238157,0.000038922408,0.0004176868,0.0010183918,0.000113643364,0.00013084189,0.000048227026,0.00001856793],"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":[0.00029825256,0.00016706726,0.5462383,0.000014934852,0.000011138497,0.00001798044,0.0011372793,0.00033604912,0.13729231,0.00007288565,0.000020328576,0.3143935],"study_design_scores_gemma":[0.0025348442,0.0026156355,0.74656636,0.00008117502,0.00016689088,0.0000650172,0.001416335,0.042991478,0.20059033,0.0018421697,0.00046704357,0.00066271174],"about_ca_topic_score_codex":0.0005185787,"about_ca_topic_score_gemma":0.0045671146,"teacher_disagreement_score":0.31373078,"about_ca_system_score_codex":0.00008985937,"about_ca_system_score_gemma":0.000014409022,"threshold_uncertainty_score":0.3752307},"labels":[],"label_agreement":null},{"id":"W2559799920","doi":"10.3138/cart.51.4.3210","title":"The Impact of Multi-Criteria Decision Analysis Parameters on an Urban Deprivation Index","year":2016,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multiple-criteria decision analysis; Weighting; Index (typography); Decision analysis; Set (abstract data type); Selection (genetic algorithm); Decision support system; Computer science; Data mining; Operations research; Mathematics; Statistics; Machine learning; Medicine","score_opus":0.012209485212597933,"score_gpt":0.31093705453838705,"score_spread":0.2987275693257891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559799920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89815056,0.000021551412,0.100847,0.0004933819,0.00020706764,0.0001878969,0.00003795875,0.000014009084,0.00004057025],"genre_scores_gemma":[0.99912304,0.00040497648,0.00015496433,0.0001753911,0.000034215078,0.000021885515,0.00006722072,0.000005055802,0.00001323036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983753,0.00011877492,0.00060093956,0.0001389614,0.00058838725,0.0001776496],"domain_scores_gemma":[0.9984635,0.00044818464,0.0004537785,0.00023696078,0.00030025514,0.00009728953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014508194,0.0001404987,0.00015026194,0.0005247525,0.00056691666,0.00029273485,0.00043478145,0.00007629185,0.0001073711],"category_scores_gemma":[0.00040977038,0.00006266965,0.00044322287,0.0009044415,0.00027008876,0.0010130861,0.00005929755,0.00008504711,0.000003284432],"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":[0.00044605084,0.000076560355,0.88787204,0.0000015787534,0.0006596137,1.6349928e-7,0.0006505097,0.009272462,0.00011617559,0.000923129,0.00041141672,0.09957028],"study_design_scores_gemma":[0.0010779224,0.0002591513,0.88244784,0.000018189496,0.00016610332,0.000008538978,0.00032371838,0.10864528,0.000059749764,0.0044582332,0.0023939712,0.00014131208],"about_ca_topic_score_codex":0.0003261092,"about_ca_topic_score_gemma":0.0003115735,"teacher_disagreement_score":0.100972496,"about_ca_system_score_codex":0.000060756942,"about_ca_system_score_gemma":0.00001586099,"threshold_uncertainty_score":0.43603218},"labels":[],"label_agreement":null},{"id":"W2560249629","doi":"10.5539/jas.v9n1p96","title":"Crop Suitability Mapping for Rice, Cassava, and Yam in North Central Nigeria","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thematic map; Agriculture; Crop; Geography; Food security; Normalized Difference Vegetation Index; Agroforestry; Land use; Vegetation (pathology); Drainage basin; Land cover; Kharif crop; Soil fertility; Environmental science; Soil water; Forestry; Agronomy; Cartography; Leaf area index; Biology","score_opus":0.010568905810665694,"score_gpt":0.21423699400738466,"score_spread":0.20366808819671897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560249629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834836,0.00004411856,0.000090774636,0.0010890069,0.00011274956,0.00009451039,0.0000040081068,0.0000038689777,0.00021261016],"genre_scores_gemma":[0.99917334,0.000027896574,0.00060635037,0.000036989357,0.000054514392,0.000002125897,2.0507092e-7,0.0000014022263,0.000097170305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855846,0.000037659633,0.0003593307,0.00023466253,0.0004159996,0.0003938921],"domain_scores_gemma":[0.99932003,0.00014260809,0.00017431208,0.00009180182,0.000059406677,0.0002118653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008268888,0.00009705835,0.0001943207,0.000050051178,0.00017912997,0.000060778028,0.00032204672,0.000030220945,0.00010204258],"category_scores_gemma":[0.00039947758,0.000041447474,0.00008985528,0.0007641226,0.00045514974,0.00091978314,0.00009962992,0.00007592029,0.0000055870296],"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":[0.000014073494,0.000044324326,0.94182414,0.000004546832,0.0000035669432,0.000002218383,0.0007857073,0.000099203564,0.051710792,0.0000051496004,0.00012474062,0.00538153],"study_design_scores_gemma":[0.00029892268,0.000067751746,0.99778277,0.000012131327,0.000006424578,0.000033625853,0.0005613829,0.000026551505,0.0006393344,0.0001371012,0.00033681467,0.00009720623],"about_ca_topic_score_codex":0.00017781327,"about_ca_topic_score_gemma":0.0023740537,"teacher_disagreement_score":0.055958606,"about_ca_system_score_codex":0.00031375646,"about_ca_system_score_gemma":0.000026996728,"threshold_uncertainty_score":0.1690179},"labels":[],"label_agreement":null},{"id":"W2588296933","doi":"10.5539/jas.v9n3p74","title":"Land Suitability Assessment for Soybean (Glycine max (L.) Merr.) Production in Kabwe District, Central Zambia","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inverse distance weighting; Digital elevation model; Environmental science; Soil fertility; Cropping; Land use; Ground truth; Geography; Mathematics; Remote sensing; Soil science; Soil water; Agriculture; Multivariate interpolation; Statistics; Computer science; Biology; Ecology","score_opus":0.012680043682485143,"score_gpt":0.26350295619338704,"score_spread":0.2508229125109019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588296933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951264,0.00001638287,0.00005478957,0.0033102154,0.00043498675,0.00018310352,0.0000043650925,0.000005002683,0.0008647234],"genre_scores_gemma":[0.9986442,0.000016036593,0.00094679784,0.0000170093,0.00016998888,0.000004454128,0.0000016896809,0.0000020527368,0.00019779187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809,0.00004341665,0.00042747002,0.00031772026,0.00070087466,0.00042047573],"domain_scores_gemma":[0.99893486,0.00004803876,0.00044729203,0.0002777542,0.00009175324,0.00020027977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018695304,0.00012335583,0.0002508027,0.000043218675,0.0006929534,0.00022700625,0.00076145533,0.00003813877,0.00012704282],"category_scores_gemma":[0.00071540015,0.0000661383,0.00014900624,0.0003727569,0.0005085446,0.0014755209,0.00014833416,0.00017943265,0.000004326261],"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":[0.000026670108,0.00016271925,0.9789769,0.0000068749564,0.0000063819384,0.0000026016155,0.0002779905,0.0007210887,0.013162367,0.000010606218,0.0004005557,0.0062452457],"study_design_scores_gemma":[0.00035352277,0.000120712226,0.99696964,0.000015326803,0.000026189828,0.000029154106,0.00029721638,0.00020988107,0.0012653326,0.00035312693,0.00024289566,0.00011698542],"about_ca_topic_score_codex":0.0008744034,"about_ca_topic_score_gemma":0.0024143667,"teacher_disagreement_score":0.01799276,"about_ca_system_score_codex":0.0005725496,"about_ca_system_score_gemma":0.00005146802,"threshold_uncertainty_score":0.5329708},"labels":[],"label_agreement":null},{"id":"W2593323831","doi":"10.6000/1927-5129.2017.13.05","title":"Modeling the Rice Land Suitability Using GIS and Multi-Criteria Decision Analysis Approach in Sindh, Pakistan","year":2017,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Agricultural engineering; Multiple-criteria decision analysis; Suitability analysis; Geographic information system; Production (economics); Computer science; Environmental science; Mathematics; Environmental resource management; Operations research; Geography; Engineering; Remote sensing","score_opus":0.04914896348027245,"score_gpt":0.3218127128361784,"score_spread":0.272663749355906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593323831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793768,0.000090247675,0.019388283,0.00014199328,0.00004045602,0.00007469181,0.0000018090701,0.0000025027375,0.00088325207],"genre_scores_gemma":[0.98763764,0.000022168208,0.012265808,0.00003738288,0.000028010247,0.0000014619874,2.2892247e-7,0.0000028226837,0.000004463279],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819434,0.00009269978,0.00049748545,0.00033093474,0.0006332147,0.00025133087],"domain_scores_gemma":[0.99902236,0.00018798362,0.00030484295,0.00036286152,0.000021600723,0.00010034008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005265072,0.00012358415,0.0003531885,0.00014153768,0.0010164271,0.00039839745,0.0007593918,0.00005268692,0.00008125501],"category_scores_gemma":[0.00014541326,0.00006919506,0.00013587953,0.00066998694,0.0007910567,0.00046694136,0.0002327965,0.00019251945,0.0000016205478],"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":[0.00004427335,0.000133719,0.81870615,0.00000510775,0.00004195736,0.0000029066393,0.0015859095,0.16938624,0.0011572513,0.000013267288,0.000002425026,0.00892081],"study_design_scores_gemma":[0.00023829051,0.000015328967,0.41387317,0.00000512001,0.00012215335,0.000006063869,0.0012841541,0.5835948,0.000023003246,0.0007540656,0.0000050842123,0.00007876943],"about_ca_topic_score_codex":0.002200051,"about_ca_topic_score_gemma":0.002231656,"teacher_disagreement_score":0.41420856,"about_ca_system_score_codex":0.00009244755,"about_ca_system_score_gemma":0.000029302726,"threshold_uncertainty_score":0.7817638},"labels":[],"label_agreement":null},{"id":"W2603435890","doi":"10.5539/ep.v6n1p38","title":"Contaminants Leaching from Fresh Poultry Waste: A Lysimeter Study on Sandy Soils under Tropical Conditions","year":2017,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lysimeter; Environmental science; Manure; Leaching (pedology); Soil test; Soil water; Groundwater; Environmental engineering; Hydrology (agriculture); Agronomy; Soil science; Geology; Biology","score_opus":0.0184721485269472,"score_gpt":0.2522757773653928,"score_spread":0.2338036288384456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603435890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973949,0.000024837907,0.00033214196,0.0006428285,0.0000734717,0.00016736,0.00004320573,0.000013708549,0.0013075306],"genre_scores_gemma":[0.99901605,0.000023546212,0.000031167376,0.00020596861,0.00008245323,0.00001776912,0.000022087243,0.0000076409015,0.0005933138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884546,0.00012184517,0.0001757271,0.00037840602,0.0002755548,0.00020298532],"domain_scores_gemma":[0.9993057,0.00004495767,0.00009101338,0.00045545795,7.495228e-7,0.00010211021],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014003793,0.00015059249,0.00018340435,0.000023904908,0.00085780007,0.00008953571,0.00015519206,0.000074433294,0.00227335],"category_scores_gemma":[0.000023633705,0.000119324235,0.0000733582,0.000018944444,0.00023687826,0.00022355086,0.00014236028,0.00014450503,0.0003426029],"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":[0.000036696678,0.000360206,0.9920752,7.200009e-7,0.000053731514,0.00000482549,0.0006307848,0.00043961624,0.0021784257,0.00004368349,0.00016526027,0.004010839],"study_design_scores_gemma":[0.0008453599,0.0001579984,0.9947816,0.0000061254937,0.00010597194,6.258348e-7,0.0021502087,0.00047906247,0.00018564853,0.00058351574,0.00054686354,0.00015701461],"about_ca_topic_score_codex":0.0015169107,"about_ca_topic_score_gemma":0.00031345998,"teacher_disagreement_score":0.0038538245,"about_ca_system_score_codex":0.00013192161,"about_ca_system_score_gemma":0.0000020968328,"threshold_uncertainty_score":0.9986387},"labels":[],"label_agreement":null},{"id":"W2604278834","doi":"10.5539/mas.v11n5p11","title":"Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Land use; Agriculture; Agricultural land; Scale (ratio); Computer science; Land information system; Geographic information system; Soil survey; Spatial decision support system; Environmental resource management; Decision support system; User Friendly; Land-use planning; Agricultural engineering; Environmental science; Land management; Remote sensing; Geography; Civil engineering; Cartography; Data mining; Engineering; Soil water","score_opus":0.027707239214624337,"score_gpt":0.25722030005240193,"score_spread":0.2295130608377776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604278834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8669679,0.0000027068343,0.13155527,0.00040547005,0.000042659103,0.00021258637,0.000003811754,0.000020909572,0.000788675],"genre_scores_gemma":[0.9774775,0.0000034710442,0.021650776,0.00016165951,0.00002472556,0.00006829901,0.0000071933014,0.0000046327323,0.0006017424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983789,0.0000069351936,0.00016669174,0.0005596714,0.0005616585,0.0003261663],"domain_scores_gemma":[0.9991898,0.000090050075,0.00010286711,0.00049295824,0.000030782223,0.00009354402],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00055181724,0.00011589126,0.00012593485,0.00002836422,0.0019608298,0.00036010164,0.00067575346,0.000049308703,0.00006035528],"category_scores_gemma":[0.00012946456,0.000080718564,0.000057729158,0.00015857126,0.0005695275,0.0007391489,0.00041739218,0.00004882838,0.00009983675],"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":[0.00026637642,0.00013930492,0.6156091,0.000015177252,0.000017119091,0.0000014688679,0.002263885,0.0051743207,0.28618866,0.0028388854,0.0018344247,0.08565124],"study_design_scores_gemma":[0.0003765883,0.000014068501,0.9540537,0.000008710774,0.000013473024,0.0000037423663,0.000046526857,0.034736473,0.0029697164,0.003910283,0.0036302635,0.0002364765],"about_ca_topic_score_codex":0.00024880495,"about_ca_topic_score_gemma":0.0017973746,"teacher_disagreement_score":0.33844456,"about_ca_system_score_codex":0.00031442172,"about_ca_system_score_gemma":0.000031068987,"threshold_uncertainty_score":0.9993385},"labels":[],"label_agreement":null},{"id":"W2612513584","doi":"10.32920/ryerson.14638212.v1","title":"The Spatial Dimensions of Multi-Criteria Evaluation : Case Study of a Home Buyer’s Spatial Decision Support System","year":2021,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Decision support system; Real estate; Spatial analysis; Spatial decision support system; Spatial relationship; Operations research; Decision model; Data mining; Artificial intelligence; Machine learning; Statistics; Mathematics; Business","score_opus":0.03110271982148725,"score_gpt":0.304571128403659,"score_spread":0.27346840858217175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612513584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705034,0.000018313262,0.0021527556,0.000024388895,0.00015775466,0.00028847865,0.000008212279,0.0000099656,0.00028977072],"genre_scores_gemma":[0.99952173,0.0000031451905,0.00033903026,0.000008169328,0.000012363892,0.000020422358,0.0000055621053,0.0000045989223,0.00008495703],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981272,0.00035474775,0.00047132178,0.00026020934,0.00065590267,0.00013061355],"domain_scores_gemma":[0.9989971,0.00027259413,0.00011074254,0.00047469512,0.00008650559,0.000058380803],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012157676,0.00008974383,0.00021829047,0.000024336094,0.00019135168,0.000017723933,0.00011644507,0.00003990324,0.0022682045],"category_scores_gemma":[0.00018647248,0.000049247457,0.00009456955,0.0002458749,0.00007400709,0.00006523543,0.00021055718,0.000049086837,0.000026058291],"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":[0.00020128165,0.003463901,0.6817556,0.000039302897,0.00020489212,0.00056999485,0.01019389,0.0062813726,0.006092136,0.000011475034,0.00030229054,0.29088384],"study_design_scores_gemma":[0.0033204316,0.00060253823,0.37728173,0.000024320952,0.0005934127,0.00032560053,0.0721434,0.5428361,0.0024074982,0.00006210211,0.000154556,0.00024829077],"about_ca_topic_score_codex":0.04256005,"about_ca_topic_score_gemma":0.13625881,"teacher_disagreement_score":0.53655475,"about_ca_system_score_codex":0.00008197861,"about_ca_system_score_gemma":0.000034526118,"threshold_uncertainty_score":0.9986439},"labels":[],"label_agreement":null},{"id":"W2613135575","doi":"10.5555/arwg.1.1.j86h0244q7540l5v","title":"Remote Sensing and Geographic Information System Applications for Land Use and Land-Suitability Mapping: Case Study—Irbid District, Jordan","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Georeference; Land information system; Land use; Remote sensing; Agricultural land; Geographic information system; Geography; Land-use planning; Land management; Agriculture; Distribution (mathematics); Cartography; Environmental resource management; Environmental science; Physical geography; Civil engineering; Mathematics","score_opus":0.0212752840079334,"score_gpt":0.2171394732482906,"score_spread":0.1958641892403572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613135575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931235,0.000047223275,0.005079938,0.000032104886,0.0000287191,0.00091197103,0.000025892707,0.00007071135,0.0006799673],"genre_scores_gemma":[0.99778134,0.00000985809,0.002050609,0.000051559975,0.000014543958,0.000031079024,0.00001563467,0.0000075050334,0.00003788801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988297,0.00008651144,0.0003319348,0.00034329976,0.00015435084,0.00025416765],"domain_scores_gemma":[0.99918395,0.00015003275,0.00010712975,0.0003843126,0.000031250813,0.00014332273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503673,0.00016844211,0.00021648752,0.00015798485,0.00043025942,0.00011686766,0.000077202494,0.00004641079,0.000042870404],"category_scores_gemma":[0.000029692439,0.00013845478,0.000090089445,0.00075115747,0.00019144891,0.00045811938,0.000106001266,0.00009566662,0.000006878524],"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":[0.000018476383,0.000044184017,0.9650409,0.000043411786,0.000047267655,0.00001216125,0.0011728654,0.000008285838,7.9414656e-7,0.000013637366,0.000016149963,0.03358183],"study_design_scores_gemma":[0.0005275673,0.000044161352,0.9884414,0.000009884061,0.00014493645,0.000133204,0.0030061055,0.004585353,0.0000020356763,0.00035586057,0.0025424135,0.00020705388],"about_ca_topic_score_codex":0.03308058,"about_ca_topic_score_gemma":0.029663594,"teacher_disagreement_score":0.033374775,"about_ca_system_score_codex":0.000019892965,"about_ca_system_score_gemma":0.0000029950374,"threshold_uncertainty_score":0.98804253},"labels":[],"label_agreement":null},{"id":"W270573403","doi":"10.1007/978-3-540-74757-4_4","title":"Multiattribute Decision Analysis Methods","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in geographic information science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Ideal point; Computer science; Analytic hierarchy process; Management science; Process (computing); Operations research; Mathematics; Engineering","score_opus":0.015498485927732689,"score_gpt":0.3244118044200018,"score_spread":0.3089133184922691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W270573403","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013935331,0.0013758482,0.08149854,0.00006274461,0.00042120006,0.00033383307,0.000052661184,0.00007704568,0.9147846],"genre_scores_gemma":[0.4947991,0.025397843,0.42344686,0.0027593093,0.00022711873,0.00026540263,0.0011241998,0.000097326694,0.051882822],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965174,0.000037639886,0.0008680035,0.0004943052,0.0016589614,0.0004236744],"domain_scores_gemma":[0.9981769,0.00024702487,0.00045417665,0.0007406588,0.00016106093,0.00022020665],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0049897605,0.0002903269,0.00050756993,0.0019744632,0.00026631707,0.00013128965,0.0009707621,0.00019294076,0.0020884809],"category_scores_gemma":[0.0005171648,0.00023883222,0.00030620213,0.0037783445,0.0013753849,0.0065295603,0.0004519126,0.00033624843,0.00050724717],"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":[0.000029578165,0.000020005371,0.068720445,0.000012289767,0.000057125602,0.0000022835795,0.00060046196,0.095159926,0.0000020050536,0.006578029,0.000091721806,0.8287261],"study_design_scores_gemma":[0.0003571247,0.000050529103,0.032426927,0.000036597612,0.0002998522,0.0000035333453,0.00014524847,0.03571766,0.000008459813,0.060714282,0.8695717,0.000668127],"about_ca_topic_score_codex":0.00021099561,"about_ca_topic_score_gemma":0.0009512199,"teacher_disagreement_score":0.86947995,"about_ca_system_score_codex":0.0003079572,"about_ca_system_score_gemma":0.000059916023,"threshold_uncertainty_score":0.99882376},"labels":[],"label_agreement":null},{"id":"W2735620099","doi":"","title":"Status of the world's soil resources: technical summary.","year":2015,"lang":"pt","type":"preprint","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nutrasource","funders":"","keywords":"Environmental science; Forestry; Geography","score_opus":0.06991477387721695,"score_gpt":0.36910851058396227,"score_spread":0.2991937367067453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735620099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85875803,0.01142585,0.00020081071,0.008685689,0.0009361225,0.0062690037,0.0027518002,0.00034131092,0.110631354],"genre_scores_gemma":[0.9684318,0.0021937685,0.00072508596,0.00004131752,0.000102468584,0.0007914363,0.000119651355,0.000042073454,0.027552443],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9879187,0.00035640976,0.0012365709,0.0022750394,0.005670889,0.0025424238],"domain_scores_gemma":[0.99461055,0.0010924317,0.000611136,0.0013443442,0.001757142,0.0005844036],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01872534,0.00055400224,0.0008217963,0.003627615,0.002260526,0.00024345555,0.0039464226,0.0007942192,0.00021706984],"category_scores_gemma":[0.010521281,0.0003999363,0.00032263846,0.013972745,0.016193537,0.000490809,0.005840757,0.0022822935,0.000028389737],"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":[0.0008347546,0.0040309546,0.5672197,0.0012273461,0.00061506033,0.000026731577,0.0032506208,0.00045820163,0.035751864,0.035085298,0.1460671,0.20543239],"study_design_scores_gemma":[0.004202073,0.0036176336,0.10597629,0.0016530154,0.00044146128,0.00013466309,0.0072822478,0.026991175,0.019382413,0.493161,0.33355507,0.003602949],"about_ca_topic_score_codex":0.0022123249,"about_ca_topic_score_gemma":0.0020830955,"teacher_disagreement_score":0.4612434,"about_ca_system_score_codex":0.0021497346,"about_ca_system_score_gemma":0.003798387,"threshold_uncertainty_score":0.99984527},"labels":[],"label_agreement":null},{"id":"W2794685972","doi":"10.1007/978-94-024-1283-3_3","title":"Disaster Risk Management","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in natural and technological hazards research","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Disaster risk reduction; Resilience (materials science); Vulnerability (computing); Risk management; Business; Risk analysis (engineering); Emergency management; Environmental planning; Computer security; Political science; Computer science; Geography; Finance","score_opus":0.016974185651874182,"score_gpt":0.30660477078150394,"score_spread":0.28963058512962975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794685972","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029832881,0.011072106,0.00001755906,0.00035625364,0.000071886534,0.0003945835,0.00002038946,0.000097869124,0.9581365],"genre_scores_gemma":[0.5672199,0.04422057,0.0012436358,0.000058478967,0.00007320398,0.00006882,0.000018387096,0.00002438365,0.38707262],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975433,0.00006965732,0.00027078783,0.00080635474,0.00080819486,0.0005017455],"domain_scores_gemma":[0.99918616,0.00021135245,0.000057929574,0.00044362372,0.000021216538,0.00007972655],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009682919,0.00024512626,0.00033172677,0.00021347597,0.00022383318,0.00004058315,0.0005547599,0.00042285124,0.004823428],"category_scores_gemma":[0.00013221044,0.00015321102,0.000097454315,0.0002637653,0.0029575406,0.00017617946,0.0014687168,0.00156953,0.00067350577],"study_design_candidate":"design_other","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":[0.00004262188,0.000035611487,0.004693544,0.000031395186,0.000023653793,0.00006592659,0.000030627154,0.0000039987476,0.000002023261,0.02040743,0.00048949,0.97417367],"study_design_scores_gemma":[0.00015766146,0.00011568036,0.0021082924,0.000055852375,0.00001367618,0.0000034202135,0.00009552879,0.00014612572,0.000007692739,0.46987212,0.5271994,0.00022458406],"about_ca_topic_score_codex":0.000030696534,"about_ca_topic_score_gemma":0.00055002474,"teacher_disagreement_score":0.9739491,"about_ca_system_score_codex":0.00017177791,"about_ca_system_score_gemma":0.0000031131556,"threshold_uncertainty_score":0.99975586},"labels":[],"label_agreement":null},{"id":"W2810576647","doi":"10.3389/fenvs.2018.00077","title":"The Land Suitability Rating System Is a Spatial Planning Tool to Assess Crop Suitability in Canada","year":2018,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Environmental science; Computer science; Land use; Land cover; Database; Agricultural engineering; Environmental resource management; Engineering","score_opus":0.009167232858387506,"score_gpt":0.21583937062222439,"score_spread":0.2066721377638369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810576647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963666,0.000039274517,0.00095238304,0.00024130037,0.00056964625,0.00039805856,0.000023091236,0.000013704159,0.001395892],"genre_scores_gemma":[0.9985174,0.0000028970348,0.0011255548,0.00020788182,0.000041822394,0.0000480396,0.0000019241154,0.000008561703,0.00004589936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963086,0.0001876585,0.00054157496,0.0009172035,0.0011327044,0.0009122476],"domain_scores_gemma":[0.99885833,0.00014305607,0.000097685326,0.00066652865,0.000005564957,0.00022885864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028738617,0.00022375755,0.00029187364,0.00006609105,0.0007977002,0.000114235496,0.0009883096,0.000053516556,0.0002975104],"category_scores_gemma":[0.00024606564,0.00016846498,0.000053457876,0.0009415847,0.0014210031,0.00039652726,0.00063115417,0.00022917225,0.000043899396],"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":[0.00003896536,0.00004073373,0.9843073,0.000004937388,0.000002976986,0.000007644185,0.0009713067,0.0017368754,0.0005518213,0.0000013923794,0.00026468895,0.01207134],"study_design_scores_gemma":[0.00021504168,0.00004324271,0.9645548,0.000016180014,0.000005197255,0.000002616005,0.004074327,0.028839175,0.0010592372,0.00005871481,0.00088758353,0.00024388234],"about_ca_topic_score_codex":0.68148965,"about_ca_topic_score_gemma":0.7982217,"teacher_disagreement_score":0.11673206,"about_ca_system_score_codex":0.006753846,"about_ca_system_score_gemma":0.0002203403,"threshold_uncertainty_score":0.99705905},"labels":[],"label_agreement":null},{"id":"W2885905743","doi":"10.5751/es-10215-230327","title":"Adaptation pathways to cope with salinization in south-west coastal region of Bangladesh","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Wageningen University and Research; Khulna University; University of Engineering and Technology, Lahore","keywords":"Climate change adaptation; Soil salinity; Adaptation (eye); Geography; Environmental resource management; Climate change; Ecology; Environmental protection; Environmental science; Salinity; Biology","score_opus":0.012800273124877973,"score_gpt":0.20425317432827747,"score_spread":0.1914529012033995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885905743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779415,0.0000034913196,0.0012910671,0.0001649307,0.000019880503,0.00006608596,0.0000026575674,0.0000066672055,0.00065107347],"genre_scores_gemma":[0.9990298,0.000007514763,0.00059092115,0.00027817104,0.000016314987,0.000005558389,0.000006906667,0.0000024032806,0.000062387684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995751,0.00003922165,0.00009728185,0.00013976799,0.000057791374,0.00009087013],"domain_scores_gemma":[0.9998211,0.000037455444,0.000035253335,0.000063962776,0.000011618052,0.00003056776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017823144,0.000043678996,0.00008979939,0.000009345677,0.00007344606,0.0000036521792,0.000035888555,0.00006685102,0.00021679475],"category_scores_gemma":[0.000021619646,0.00003477746,0.000021267804,0.00018734459,0.00022373305,0.00005698228,0.000033296503,0.00004002347,0.00002052517],"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":[0.000027963903,0.000040019695,0.97169876,0.0000033556166,0.0000074044,8.50637e-7,0.02624809,0.0007221996,0.0001193635,0.000053844396,0.00021142206,0.00086670724],"study_design_scores_gemma":[0.00026067987,0.0002336083,0.99095255,0.0000031733623,0.00000965237,0.0000014077921,0.0043463144,0.0037748741,0.00008308903,0.00013608322,0.00014686928,0.000051706582],"about_ca_topic_score_codex":0.0002081193,"about_ca_topic_score_gemma":0.008653293,"teacher_disagreement_score":0.021901775,"about_ca_system_score_codex":0.000021052156,"about_ca_system_score_gemma":0.000009143491,"threshold_uncertainty_score":0.48287407},"labels":[],"label_agreement":null},{"id":"W2886549162","doi":"10.5539/jsd.v11n4p240","title":"Prioritize Agri-Environmental Measures of Water-Related Ecosystem Services: The Case of Mashhad","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Agriculture; Ecosystem; Environmental resource management; Business; Biodiversity; Natural resource; Environmental science; Environmental planning; Geography; Ecology","score_opus":0.006600830385415717,"score_gpt":0.18999515006206827,"score_spread":0.18339431967665254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886549162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99838936,0.000118953554,0.00004373518,0.00015347496,0.00007272191,0.00015572895,0.0000023949478,0.0000039435777,0.001059708],"genre_scores_gemma":[0.99872124,0.000024412053,0.00031595072,0.000031146465,0.00002753941,0.0000033961642,0.000001673534,0.000008676246,0.0008659687],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9979277,0.0001410674,0.0009418506,0.00015165644,0.0005029024,0.0003348189],"domain_scores_gemma":[0.9990772,0.000054950793,0.00044354107,0.0002260804,0.00009463153,0.00010356581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019024344,0.00014699444,0.00034684569,0.0000893937,0.00023756658,0.00002122265,0.00036333848,0.0000740209,0.0011092138],"category_scores_gemma":[0.000023084434,0.00007864101,0.00014390828,0.00023565858,0.00021185105,0.00023057645,0.00023893258,0.00013699592,0.000032865064],"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":[0.0011306328,0.0027090162,0.63920534,0.0019147538,0.0030177606,0.008761209,0.22684689,0.0048403554,0.050137818,0.0003457018,0.0011292609,0.059961252],"study_design_scores_gemma":[0.003636336,0.0011407033,0.35419285,0.0003063866,0.00065882463,0.0046558734,0.395035,0.0009496068,0.1705906,0.0024916383,0.06544922,0.00089293835],"about_ca_topic_score_codex":0.00040151033,"about_ca_topic_score_gemma":0.0003244549,"teacher_disagreement_score":0.28501248,"about_ca_system_score_codex":0.0004071023,"about_ca_system_score_gemma":0.000059576898,"threshold_uncertainty_score":0.9998039},"labels":[],"label_agreement":null},{"id":"W2888093971","doi":"10.4000/vertigo.19885","title":"Analyse spatiale multicritère et identification des sols propices à la production du maïs à Ouessè au Bénin","year":2018,"lang":"fr","type":"article","venue":"VertigO","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.016368310141742195,"score_gpt":0.2597651072129829,"score_spread":0.2433967970712407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888093971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98877746,0.000397135,0.0030349025,0.004957468,0.00076988706,0.00023582883,0.000015394646,0.000049622777,0.0017622869],"genre_scores_gemma":[0.99128515,0.0002437443,0.0015011681,0.00009210365,0.0005338846,0.000032225784,0.000022130667,0.000015016568,0.0062745623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978016,0.00046560398,0.00038450735,0.00059999415,0.00037291992,0.00037535076],"domain_scores_gemma":[0.9990926,0.000073546806,0.0001325281,0.00048791908,0.00007721061,0.00013624155],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008964695,0.00019391933,0.00021380988,0.00007186525,0.000469152,0.00015867222,0.00024839817,0.0001457446,0.0020964015],"category_scores_gemma":[0.0005307887,0.00017221188,0.00013809527,0.0005629209,0.0013305221,0.00081556727,0.0001156934,0.00013872902,0.0016861007],"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":[0.00003466522,0.00037748282,0.91910005,0.000091657224,0.00007415856,0.000004110358,0.00851676,0.0009165732,0.016187593,0.000139555,0.0012372083,0.053320203],"study_design_scores_gemma":[0.00022592058,0.00010401103,0.9189435,0.00007328399,0.00028153256,0.000010668581,0.0010676023,0.017019155,0.038480874,0.0012318238,0.022276565,0.00028502173],"about_ca_topic_score_codex":0.018659808,"about_ca_topic_score_gemma":0.050511178,"teacher_disagreement_score":0.05303518,"about_ca_system_score_codex":0.0003228102,"about_ca_system_score_gemma":0.00005309756,"threshold_uncertainty_score":0.9990912},"labels":[],"label_agreement":null},{"id":"W2901528478","doi":"10.1139/geomat-2018-0017","title":"A GIS-based multi-criteria decision analysis approach for public school site selection in Surabaya, Indonesia","year":2018,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Multiple-criteria decision analysis; Site selection; Geographic information system; Government (linguistics); Geography; Environmental planning; Population; Transport engineering; Environmental resource management; Computer science; Cartography; Operations research; Engineering; Political science; Environmental science; Sociology","score_opus":0.022216295770666417,"score_gpt":0.2691633047410553,"score_spread":0.2469470089703889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901528478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.755422,0.0000054726474,0.24385522,0.00013000947,0.000014825611,0.00022054541,0.000008126461,0.000032215303,0.0003115836],"genre_scores_gemma":[0.9480764,7.660023e-7,0.0515071,0.00013268043,0.000032155465,0.00010423963,0.00006340429,0.000008740826,0.00007449458],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984626,0.00011739123,0.00035547977,0.00043233918,0.00028340233,0.00034877335],"domain_scores_gemma":[0.9993145,0.00015440349,0.00007531568,0.00027878626,0.000033184744,0.0001438389],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008839073,0.00014126937,0.00029459436,0.00028852597,0.00018924488,0.00010270796,0.00019664479,0.00010133391,0.0023721352],"category_scores_gemma":[0.00033732606,0.00011625423,0.00019463155,0.0022071458,0.00012377375,0.00023079445,0.000057015066,0.00007739295,0.00021420632],"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":[0.000054286942,0.0003240551,0.990164,0.000012532537,0.000065150925,4.117312e-7,0.00018471327,0.0020590695,0.0006074548,0.0000034460973,0.00022978998,0.0062951054],"study_design_scores_gemma":[0.000413971,0.000036117523,0.4716,0.0000022806285,0.00009348884,4.3667498e-7,0.00004034523,0.5274437,0.00006812968,0.00008145689,0.00012519512,0.000094866846],"about_ca_topic_score_codex":0.0010736111,"about_ca_topic_score_gemma":0.006380865,"teacher_disagreement_score":0.52538466,"about_ca_system_score_codex":0.00015843085,"about_ca_system_score_gemma":0.000019480647,"threshold_uncertainty_score":0.9985398},"labels":[],"label_agreement":null},{"id":"W2908139944","doi":"10.2495/sdp-v13-n8-1103-1115","title":"Evaluating suitability of a GIS–AHP combined method for sustainable urban and environmental planning in Beykoz District, Istanbul","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Metropolitan area; Environmental planning; Geographic information system; Urbanization; Sustainability; Urban planning; Geography; Sustainable development; Environmental resource management; Computer science; Transport engineering; Civil engineering; Engineering; Environmental science; Operations research; Cartography","score_opus":0.019723478177354252,"score_gpt":0.3072166850915801,"score_spread":0.28749320691422586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908139944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955132,0.00025880896,0.003316003,0.00010740645,0.000050501185,0.00018315454,0.0000049321484,0.000004041311,0.00056197034],"genre_scores_gemma":[0.98643774,0.000005723938,0.012820474,0.000042003376,0.00006107123,0.000010152557,0.000018404511,0.000007855395,0.0005965895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982328,0.00008827332,0.00064918335,0.0002302036,0.0004648268,0.0003347316],"domain_scores_gemma":[0.9989044,0.00043501245,0.0003495256,0.00007224328,0.0001431009,0.0000956874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002683808,0.00014626757,0.00029161802,0.00022298319,0.00018655765,0.0000709873,0.00022287916,0.000062053274,0.00011750931],"category_scores_gemma":[0.000567809,0.00012925276,0.000055318003,0.0001758332,0.00015639514,0.00044897464,0.00023510889,0.00013688311,4.43574e-7],"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":[0.000969029,0.00016732936,0.94590455,0.000092083865,0.00015041018,0.00024071305,0.037925858,0.0017221394,0.00030562462,0.0003209819,0.00025797612,0.01194328],"study_design_scores_gemma":[0.0026696187,0.0005342307,0.7912567,0.00012312636,0.0000644143,0.000044977292,0.17972003,0.013869844,0.0014080296,0.003977519,0.006002478,0.00032899764],"about_ca_topic_score_codex":0.00019679306,"about_ca_topic_score_gemma":0.00001127552,"teacher_disagreement_score":0.15464784,"about_ca_system_score_codex":0.0004485092,"about_ca_system_score_gemma":0.00007868976,"threshold_uncertainty_score":0.5270775},"labels":[],"label_agreement":null},{"id":"W2913249048","doi":"10.1016/b978-0-12-815226-3.00004-1","title":"Geospatial Multicriteria Decision Analysis in Forest Operational Planning","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Geospatial analysis; Variable (mathematics); Computer science; Operations research; Environmental resource management; Geography; Engineering; Environmental science; Cartography; Mathematics","score_opus":0.011407305251739032,"score_gpt":0.24199098339895767,"score_spread":0.23058367814721864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913249048","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05840396,0.00011307491,0.00011800198,0.000026337202,0.00014156115,0.00027865032,0.00003954377,0.000019270758,0.9408596],"genre_scores_gemma":[0.22123025,0.000012330831,0.000886023,0.00023692992,0.00009618539,0.000016783575,0.00019442585,0.000032032425,0.77729505],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799013,0.000035468438,0.0005361394,0.0006351526,0.0005386223,0.00026450015],"domain_scores_gemma":[0.9990977,0.00016121652,0.00012551683,0.0005036268,0.000015025404,0.0000969152],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037938502,0.00031257063,0.000614642,0.00024922416,0.00009490279,0.00006775105,0.000311717,0.00028298167,0.0077203796],"category_scores_gemma":[0.000033913693,0.0002661119,0.0003954221,0.00007128657,0.00010887901,0.000084424726,0.0002521667,0.0003045254,0.0008912748],"study_design_candidate":"design_other","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":[0.00005387734,0.000023087616,0.20687959,0.0000124180815,0.00028835548,0.000036990838,0.00064896006,0.018744664,0.000011638072,0.00013817058,0.00006390822,0.77309835],"study_design_scores_gemma":[0.001017217,0.00009306269,0.3561469,0.00023182348,0.0014111963,0.000005873234,0.00004310651,0.039061558,0.000006324243,0.006846313,0.59386307,0.0012735252],"about_ca_topic_score_codex":0.00007867527,"about_ca_topic_score_gemma":0.00797659,"teacher_disagreement_score":0.77182484,"about_ca_system_score_codex":0.00020791209,"about_ca_system_score_gemma":0.000030861393,"threshold_uncertainty_score":0.9999791},"labels":[],"label_agreement":null},{"id":"W2943445621","doi":"","title":"Physical Factors Affecting Land use in a Common Soil Type in Ontario1","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Environmental science; Land use; Soil type; Soil science; Ecology; Biology; Soil water","score_opus":0.011460726898086143,"score_gpt":0.2076395261628795,"score_spread":0.19617879926479337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943445621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991455,0.0000075628946,0.0000018111306,0.00012170344,0.00015781327,0.00007785528,0.0000061454907,0.000018716932,0.00046286974],"genre_scores_gemma":[0.9973655,7.6478113e-7,0.000012290189,0.000013288956,0.000019482584,0.000002431745,0.000012991396,0.0000028994577,0.0025703788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888664,0.00007581971,0.0001299302,0.00038565774,0.00025721677,0.0002647175],"domain_scores_gemma":[0.9995794,0.00012289186,0.000035018053,0.00018731439,0.0000073034053,0.000068024594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002800351,0.000109671455,0.00016474487,0.000039907023,0.000106731815,0.00008794002,0.0001644015,0.00006411486,0.0003844145],"category_scores_gemma":[0.00006795852,0.00005001315,0.000062718515,0.0008104542,0.00013076093,0.0003128561,0.000099448705,0.00012507294,0.0002184366],"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":[0.000005564682,0.00012209461,0.97340494,0.0000017039164,0.0000020997509,0.000004817126,0.0021224623,0.0003361374,0.022440225,0.000002970491,0.0008028294,0.00075412204],"study_design_scores_gemma":[0.00018594813,0.0000149382895,0.9953233,0.000019680132,0.0000059040494,8.266052e-7,0.00042018894,0.000081514205,0.002673185,0.00015615678,0.0009970159,0.00012136936],"about_ca_topic_score_codex":0.0069030826,"about_ca_topic_score_gemma":0.3282711,"teacher_disagreement_score":0.321368,"about_ca_system_score_codex":0.00018315448,"about_ca_system_score_gemma":0.0000066797684,"threshold_uncertainty_score":0.99971},"labels":[],"label_agreement":null},{"id":"W2947396165","doi":"10.3390/su11112997","title":"An RP-MCE-SOP Framework for China’s County-Level “Three-Space” and “Three-Line” Planning—An Integration of Rational Planning, Multi-Criteria Evaluation, and Spatial Optimization","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Plan (archaeology); Rational planning model; Computer science; Spatial planning; Space (punctuation); Land-use planning; Urban planning; Analytic hierarchy process; Operations research; Land use; Environmental resource management; Environmental planning; Geography; Civil engineering; Engineering; Economics","score_opus":0.03337086530085041,"score_gpt":0.33968592213508436,"score_spread":0.30631505683423393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947396165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5795988,0.000032909626,0.41924658,0.0002671175,0.000054474967,0.00071950996,0.00004597377,0.000017431877,0.000017202497],"genre_scores_gemma":[0.97505945,0.0000017694424,0.024390105,0.000036657602,0.000056608238,0.000090017944,0.0003219964,0.00001376206,0.000029629071],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809504,0.00020603139,0.00040518548,0.0006159033,0.00043093538,0.0002468856],"domain_scores_gemma":[0.9987534,0.00017345764,0.00018396189,0.00042438367,0.0003337516,0.00013099171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018991973,0.00020546226,0.00029271047,0.000068026435,0.00022875634,0.00008693871,0.00014702228,0.00019248236,0.0005876122],"category_scores_gemma":[0.001317492,0.00018144445,0.000055702807,0.00018730108,0.00029239105,0.0006500021,0.00007005916,0.0001466587,0.0000010010673],"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":[0.00027842462,0.0002448445,0.7347316,0.000080556565,0.000017196724,2.8511434e-7,0.002762976,0.2511115,0.0001547054,0.0005124059,0.000013046134,0.010092407],"study_design_scores_gemma":[0.00045876554,0.00021821378,0.47339246,0.000009745098,0.000038190447,6.414062e-7,0.0007153721,0.5078158,0.00004780011,0.017171217,0.000014762387,0.000117032614],"about_ca_topic_score_codex":0.0035243838,"about_ca_topic_score_gemma":0.0019475198,"teacher_disagreement_score":0.39546067,"about_ca_system_score_codex":0.00033858643,"about_ca_system_score_gemma":0.00012199201,"threshold_uncertainty_score":0.739909},"labels":[],"label_agreement":null},{"id":"W2965040265","doi":"10.5194/isprs-archives-xlii-3-w6-409-2019","title":"GEOSPATIAL TECHNOLOGY APPLICATION IN LOCAL LEVEL LAND USE PLANNING IN NEPAL","year":2019,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"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":"Land-use planning; Land management; Land use; Environmental planning; Land information system; Geospatial analysis; Environmental resource management; Regional planning; Land administration; Resource (disambiguation); Natural resource; Geography; Plan (archaeology); Business; Urban planning; Political science; Civil engineering; Engineering; Economics; Cartography; Computer science","score_opus":0.01578305386280909,"score_gpt":0.24627504477985035,"score_spread":0.23049199091704126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965040265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20974681,0.000012534588,0.78202444,0.0022340615,0.00058175344,0.00054986787,0.00004611534,0.00002498493,0.0047794087],"genre_scores_gemma":[0.9973872,0.0000456496,0.0016836261,0.00073400134,0.00004380731,6.1804644e-7,0.000030447152,0.000007743459,0.00006695819],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961911,0.00023571862,0.0012571288,0.00043113527,0.0013997608,0.00048516245],"domain_scores_gemma":[0.99758065,0.0008231212,0.00096979504,0.0004421796,0.00008511633,0.00009912691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013361688,0.0003265249,0.00040547005,0.0009689844,0.00056295434,0.00037702042,0.0013420061,0.000117034615,0.000017587916],"category_scores_gemma":[0.00047588564,0.00021100022,0.000228929,0.001476989,0.0025333962,0.0005767985,0.001003304,0.00047347805,0.000008560806],"study_design_candidate":"simulation_or_modeling","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":[0.00013861067,0.000024378316,0.050898492,0.000018052688,0.000029027695,3.465106e-7,0.0024673084,0.029009247,0.00073895295,0.0000044278668,0.000009171761,0.916662],"study_design_scores_gemma":[0.00074632955,0.000084474246,0.08103541,0.0001797524,0.000017642427,0.000049652717,0.0019300596,0.9085046,0.0011981664,0.00444356,0.0015787291,0.00023164327],"about_ca_topic_score_codex":0.91752374,"about_ca_topic_score_gemma":0.66378903,"teacher_disagreement_score":0.91643035,"about_ca_system_score_codex":0.00008593975,"about_ca_system_score_gemma":0.00010923786,"threshold_uncertainty_score":0.9334404},"labels":[],"label_agreement":null},{"id":"W2974228960","doi":"10.5539/mas.v13n10p94","title":"Development of the Road Network in the City of Salt in 2004 and 2016 Using GIS","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Transport engineering; Employability; Distribution (mathematics); Population; Statistics; Mathematics; Demography; Engineering; Economic growth","score_opus":0.014867539117136662,"score_gpt":0.2189077080991544,"score_spread":0.20404016898201774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974228960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99613214,0.000025704063,0.0006841784,0.00004312779,0.000015690046,0.00014615674,3.8502517e-7,0.0000013571886,0.0029512362],"genre_scores_gemma":[0.9987139,0.0000017652535,0.001188918,0.00006859576,0.0000023269904,0.000003647822,8.605244e-8,0.0000013314614,0.000019404739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898946,0.000025520696,0.0001945821,0.000213976,0.0003876752,0.00018879122],"domain_scores_gemma":[0.9996258,0.00003306679,0.0000647351,0.0002531416,0.000003474266,0.000019759911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015609692,0.000055911663,0.00011338478,0.000024426527,0.00009155321,0.0000106973375,0.00043964124,0.000022031112,0.000053360753],"category_scores_gemma":[0.000011482285,0.000030007881,0.000016629578,0.00076426653,0.00045593674,0.00006959427,0.00023100077,0.00006837267,0.0000039135775],"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":[0.000009618053,0.00005370214,0.87894714,0.0000063535567,0.0000014648224,1.03011814e-7,0.0073331287,0.026181247,0.07069162,0.0000637908,0.0000037073564,0.01670809],"study_design_scores_gemma":[0.00012141809,0.0000029266475,0.9266089,0.0000121983185,0.0000023211799,3.3680936e-7,0.00029223374,0.069632806,0.0014989196,0.001736493,0.00003679095,0.000054662025],"about_ca_topic_score_codex":0.0008259035,"about_ca_topic_score_gemma":0.0015607986,"teacher_disagreement_score":0.06919271,"about_ca_system_score_codex":0.000070987786,"about_ca_system_score_gemma":0.00005164545,"threshold_uncertainty_score":0.1679918},"labels":[],"label_agreement":null},{"id":"W2989639149","doi":"","title":"Assessment of trends in desertification: A proposed methodology","year":2010,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Soil and Land Suitability Analysis","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":"Desertification; Geography; Environmental science; Environmental resource management; Environmental planning; Biology; Ecology","score_opus":0.03793441175099885,"score_gpt":0.27490073692534717,"score_spread":0.23696632517434832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989639149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906455,0.0000033353706,0.0007850246,0.0016652409,0.000025861853,0.000040933086,0.0000022283527,0.0000056195445,0.006826227],"genre_scores_gemma":[0.9931694,0.0000029849564,0.006146735,0.0000106261405,0.000004546474,8.8759975e-8,0.0000042376005,0.000001508811,0.0006598246],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99941057,0.00015999126,0.000087452456,0.00012269893,0.00013258719,0.00008667882],"domain_scores_gemma":[0.99949014,0.00010321271,0.00008052514,0.00029049846,0.000010582058,0.000025040894],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081466424,0.00004261164,0.00013513859,0.00006143847,0.000059874576,0.0000016665856,0.00033277457,0.00004720296,0.003769818],"category_scores_gemma":[0.000020794998,0.000033836295,0.000077495795,0.00047023786,0.0003394592,0.00007109996,0.000111104906,0.000116104595,0.000011947004],"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":[0.000044692057,0.00015705702,0.4845741,0.000006660859,0.000025807929,0.0000023293594,0.0021014435,0.00041271758,0.48871827,0.00094762444,0.00015984393,0.022849431],"study_design_scores_gemma":[0.00017999482,0.000028238774,0.99452835,6.9152884e-7,0.00003292471,9.12872e-7,0.0011890754,0.0024048514,0.00041249453,0.00064530905,0.0005384615,0.00003868918],"about_ca_topic_score_codex":0.0047488464,"about_ca_topic_score_gemma":0.008468229,"teacher_disagreement_score":0.5099543,"about_ca_system_score_codex":0.000024874209,"about_ca_system_score_gemma":0.00001035521,"threshold_uncertainty_score":0.9971409},"labels":[],"label_agreement":null},{"id":"W2997968139","doi":"","title":"GEOSCIENCE MAPPING FOR CLIMATE CHANGE ADAPTATION PLANNING: LANDSCAPE HAZARD MAPS AS A TOOL FOR COMMUNITIES IN YUKON, CANADA","year":2014,"lang":"en","type":"article","venue":"2014 GSA Annual Meeting in Vancouver, British Columbia (19–22 October 2014)","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Climate change; Physical geography; Adaptation (eye); Hazard; Earth science; Environmental resource management; Geography; Geology; Environmental science; Oceanography; Ecology","score_opus":0.013880458527706278,"score_gpt":0.22204231073289477,"score_spread":0.20816185220518849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997968139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99230254,0.0002976428,0.00067807024,0.00018706861,0.0010204812,0.0012015569,0.0006006847,0.00007571989,0.0036362398],"genre_scores_gemma":[0.9929537,0.00012612513,0.0026714185,0.0015407692,0.00018377486,0.0008368252,0.00018887616,0.00004515529,0.0014533568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967717,0.00028819806,0.00071793987,0.0006577173,0.00054990477,0.0010145631],"domain_scores_gemma":[0.9980386,0.0009801042,0.00027099674,0.00041995026,0.00008513324,0.00020523877],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00274123,0.0002385422,0.0005350605,0.000092733055,0.000642785,0.0003092962,0.0005725352,0.00013708319,0.00045877785],"category_scores_gemma":[0.0009796575,0.00035487162,0.00012727681,0.00036071276,0.00019286879,0.00060290884,0.00025572642,0.00024806074,0.00001874903],"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":[0.0000489379,0.000095683754,0.73120075,0.00016007987,0.000010339278,0.000013160877,0.002594236,0.0034136905,0.0000048934335,0.0000068837426,0.24919657,0.013254752],"study_design_scores_gemma":[0.0034061917,0.00032600618,0.5337702,0.0007000427,0.000057643494,0.00003292668,0.02261062,0.09999976,0.0000035955354,0.0023446714,0.33545503,0.0012932842],"about_ca_topic_score_codex":0.9596043,"about_ca_topic_score_gemma":0.99858934,"teacher_disagreement_score":0.19743055,"about_ca_system_score_codex":0.0004418975,"about_ca_system_score_gemma":0.00012559223,"threshold_uncertainty_score":0.9998903},"labels":[],"label_agreement":null},{"id":"W2999375462","doi":"10.22215/etd/2012-07175","title":"Fuzzy classification for Eastern Ontario land cover mapping","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Soil and Land Suitability Analysis","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":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Cover (algebra); Cartography; Geography; Library science; Humanities; Computer science; Engineering; Art","score_opus":0.03102224242536156,"score_gpt":0.24515077227467683,"score_spread":0.21412852984931527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999375462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69696915,0.00003159511,0.0002481351,0.00004667674,0.00023930115,0.00021440916,0.0000062590216,0.00002238527,0.3022221],"genre_scores_gemma":[0.6754382,0.000004253786,0.00028428552,0.00005442525,0.00008459469,0.000055985533,0.001225972,0.000011914256,0.32284036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990673,0.000016176464,0.00022928552,0.000277681,0.00020433197,0.00020519685],"domain_scores_gemma":[0.9995559,0.00004278981,0.00011121558,0.0002092096,0.000010645255,0.00007026622],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002025912,0.00014377394,0.00018070257,0.0000318684,0.00010322457,0.00003518248,0.00013243369,0.0001808778,0.009192024],"category_scores_gemma":[0.000016251875,0.000114483715,0.00014783951,0.00007937587,0.000017776698,0.0001385821,0.00001564172,0.000102792685,0.0012665298],"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":[0.000036404792,0.000044219734,0.9805847,0.000035280482,0.000039047176,1.1282395e-7,0.0021807346,0.000041702147,0.00014125915,0.000043340613,0.001377571,0.015475633],"study_design_scores_gemma":[0.00015143862,0.000011119798,0.90663016,0.000009094193,0.00008786095,2.5578072e-7,0.00044200433,0.0005115934,0.000021667345,0.00048482988,0.09146029,0.00018969669],"about_ca_topic_score_codex":0.045651026,"about_ca_topic_score_gemma":0.48602,"teacher_disagreement_score":0.44036898,"about_ca_system_score_codex":0.00024252184,"about_ca_system_score_gemma":0.000019870962,"threshold_uncertainty_score":0.9995111},"labels":[],"label_agreement":null},{"id":"W3005701800","doi":"","title":"AN ANALYSIS OF CHEMICAL WASTE DISPOSAL IN THE DALHOUSIE UNDERGRADUATE CHEMISTRY LABORATORIES","year":2007,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Waste management; Chemistry; Environmental science; Engineering","score_opus":0.004755851484547641,"score_gpt":0.2334182436436886,"score_spread":0.22866239215914097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005701800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99236184,0.000006688695,0.00023908963,0.0002661266,0.0000061348596,0.000025916355,0.000005004283,0.000010536379,0.007078638],"genre_scores_gemma":[0.99967015,0.0000024902436,0.00010867545,0.00010264511,0.000014083551,0.0000017907875,0.000020717,0.0000027323933,0.00007674079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990624,0.00003557363,0.00022603283,0.0001995035,0.00029691198,0.00017956241],"domain_scores_gemma":[0.99944764,0.00010675025,0.000040699837,0.00034358609,0.0000075039106,0.000053831594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071987254,0.000079116515,0.00017402654,0.000029080955,0.000029054025,0.000015616872,0.00028533005,0.000050515107,0.0008599507],"category_scores_gemma":[0.00003809805,0.000047725036,0.00009071031,0.0017884809,0.00018574213,0.00009595571,0.000042552812,0.00007838196,0.0000067685373],"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":[0.000020045758,0.00019547349,0.9657341,0.0000036533938,0.00007112478,0.0000043899054,0.0009905117,0.0014038382,0.0305212,0.00012663452,0.000025208965,0.000903793],"study_design_scores_gemma":[0.0002849503,0.000027449969,0.87194335,0.0000023592766,0.00061396393,0.0000011796686,0.009285096,0.019910535,0.096566394,0.0008211088,0.0002726002,0.00027102415],"about_ca_topic_score_codex":0.0014639249,"about_ca_topic_score_gemma":0.004641698,"teacher_disagreement_score":0.09379079,"about_ca_system_score_codex":0.000034627297,"about_ca_system_score_gemma":0.0000056461517,"threshold_uncertainty_score":0.9415857},"labels":[],"label_agreement":null},{"id":"W3033189369","doi":"10.5424/sjar/2020182-15460","title":"Prediction of soil macronutrients using fractal parameters and artificial intelligence methods","year":2020,"lang":"en","type":"article","venue":"Spanish Journal of Agricultural Research","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":5,"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":"Semnan University","keywords":"Silt; Soil science; Soil test; Artificial neural network; Support vector machine; Fractal dimension; Soil texture; Lime; Mathematics; Soil pH; Environmental science; Fractal; Soil water; Computer science; Machine learning; Geology","score_opus":0.18345812179715323,"score_gpt":0.37945326339678254,"score_spread":0.1959951415996293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033189369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969145,0.00010077032,0.0020527877,0.00060837355,0.000046833222,0.00007027859,0.0000061505903,0.0000031575712,0.0001971184],"genre_scores_gemma":[0.9934812,0.000105617764,0.0063093062,0.000018146886,0.00007250522,6.179513e-7,0.0000013122201,0.000003034017,0.000008263839],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980297,0.00037655805,0.00043174683,0.00016498736,0.00077205367,0.00022492623],"domain_scores_gemma":[0.99918807,0.00024489904,0.00015964033,0.000062412786,0.00012376926,0.00022122047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580426,0.000079548765,0.00021431352,0.000045008434,0.00013325874,0.000054322543,0.0002154302,0.000051697876,0.00022608072],"category_scores_gemma":[0.0007274535,0.000047877566,0.00010806219,0.0006564228,0.00029526188,0.0003165452,0.00016752354,0.00037523083,0.000007598928],"study_design_candidate":"bench_or_experimental","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":[0.00064232264,0.00045003745,0.13945289,0.00009858844,0.00028028095,0.00005000941,0.008414588,0.021074807,0.6354843,0.00015011994,0.0009935343,0.19290857],"study_design_scores_gemma":[0.0003984666,0.0021663895,0.6955816,0.000117696116,0.0002089876,0.00020989483,0.02809979,0.027933104,0.23905092,0.00546225,0.00042694152,0.00034390704],"about_ca_topic_score_codex":0.00036790757,"about_ca_topic_score_gemma":0.000028698118,"teacher_disagreement_score":0.55612874,"about_ca_system_score_codex":0.000087109176,"about_ca_system_score_gemma":0.000018092309,"threshold_uncertainty_score":0.24754255},"labels":[],"label_agreement":null},{"id":"W3035853736","doi":"10.5539/jas.v12n7p135","title":"Spate Irrigation Potential Assessment for Ethiopian Watershed","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Irrigation; Environmental science; Irrigation statistics; Hydrology (agriculture); Water resource management; Watershed; Irrigation district; Deficit irrigation; Evapotranspiration; Irrigation management; Surface irrigation; Flood myth; Geography; Agronomy; Ecology; Geology; Biology","score_opus":0.01285145414260283,"score_gpt":0.2416336251072775,"score_spread":0.22878217096467468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035853736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848105,0.0000049627224,0.0021196427,0.012040279,0.00013200464,0.00008306248,0.0000016097814,0.0000068102822,0.00080115575],"genre_scores_gemma":[0.9952108,0.000003693732,0.004215342,0.00036330317,0.00014347325,0.0000014099414,0.0000016974698,0.000001457321,0.00005877586],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870175,0.000029140896,0.00027356003,0.00016751401,0.00062764925,0.00020041359],"domain_scores_gemma":[0.99942625,0.00002197705,0.0001931358,0.000052734318,0.00007881502,0.00022707784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006675106,0.00007530127,0.00013817786,0.000018827597,0.00023549913,0.00009778688,0.00037384185,0.000027877046,0.00029397378],"category_scores_gemma":[0.00010062118,0.0000375763,0.00013967982,0.00047854878,0.00018964421,0.00070658146,0.00007226851,0.00011618714,0.000019910212],"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":[0.000060813123,0.000103149534,0.039394245,0.000015902475,0.000030927753,0.0000086753935,0.0025684573,0.027586753,0.9154153,0.00019141332,0.0028608104,0.011763558],"study_design_scores_gemma":[0.00033035374,0.0002757675,0.9866661,0.000005385473,0.000043222608,0.000021711243,0.0007199165,0.0034342234,0.0070473547,0.00043593126,0.0009076183,0.00011241543],"about_ca_topic_score_codex":0.000042788233,"about_ca_topic_score_gemma":0.000016407643,"teacher_disagreement_score":0.9472719,"about_ca_system_score_codex":0.00013743843,"about_ca_system_score_gemma":0.000026657188,"threshold_uncertainty_score":0.32188067},"labels":[],"label_agreement":null},{"id":"W3042617552","doi":"10.5539/jas.v12n8p106","title":"Analysis of Spatiotemporal Features of Cassava Evapotranspiration in Benin Using Integrated FAO-56 Method and Terra/MODIS Data","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Evapotranspiration; Normalized Difference Vegetation Index; Crop coefficient; Linear regression; Trend analysis; Vegetation Index; Vegetation (pathology); Geography; Hydrology (agriculture); Environmental science; Correlation coefficient; Leaf area index; Forestry; Crop; Physical geography; Mathematics; Agronomy; Statistics; Geology; Ecology","score_opus":0.05187948749013995,"score_gpt":0.30501284899720194,"score_spread":0.253133361507062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042617552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974089,0.00007089437,0.0017234519,0.0006263124,0.00001808469,0.000046082903,0.000022568564,0.0000016923851,0.00008198915],"genre_scores_gemma":[0.9938045,0.000015300502,0.0061193425,0.00003326726,0.000014113388,1.4015019e-7,0.000008911873,0.0000011143136,0.0000032985442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843526,0.00011450453,0.0005077901,0.00023215075,0.0005829935,0.00012728239],"domain_scores_gemma":[0.99920076,0.00006429543,0.00041529164,0.00013030691,0.000076903576,0.000112434034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011993124,0.00008978057,0.00036345274,0.0001386873,0.00006097141,0.00003287926,0.0005028306,0.000040224124,0.00009972423],"category_scores_gemma":[0.00025949837,0.000048580874,0.00011422188,0.0033433163,0.00027363695,0.00094700215,0.00012735947,0.00013944675,2.0972217e-7],"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":[0.000045207347,0.000067920846,0.51033366,0.000012564983,0.0001250393,0.0000037064367,0.003633454,0.0908604,0.38372397,0.000005878222,0.0000340135,0.011154196],"study_design_scores_gemma":[0.00014481648,0.00008838686,0.94625324,0.0000151177255,0.00036411485,0.000007465446,0.0008492204,0.045950994,0.00623264,0.000012453195,0.000009534142,0.0000720025],"about_ca_topic_score_codex":0.003519864,"about_ca_topic_score_gemma":0.0023114723,"teacher_disagreement_score":0.43591958,"about_ca_system_score_codex":0.00007496738,"about_ca_system_score_gemma":0.00003555603,"threshold_uncertainty_score":0.5321005},"labels":[],"label_agreement":null},{"id":"W3082984041","doi":"10.5539/mas.v14n9p69","title":"Soil Quality and the Selection of Physicochemical Properties around Maro Rivers in Merauke Papua","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mangrove; Total organic carbon; Environmental science; Organic matter; Soil water; Nutrient; Soil quality; Hydrology (agriculture); Water content; Soil test; Agriculture; Soil organic matter; Inceptisol; Ecology; Soil science; Geology; Biology","score_opus":0.02589305075784614,"score_gpt":0.22698011093263554,"score_spread":0.2010870601747894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082984041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946765,0.00001357981,0.0010486903,0.0009622533,0.0000056142785,0.00010951795,7.0984316e-7,0.00001104375,0.0031721317],"genre_scores_gemma":[0.9994903,0.000006438539,0.00010375543,0.00036220503,0.000009127586,0.000013400559,2.7634877e-7,0.000002109978,0.000012357355],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998902,0.000039431645,0.00016920452,0.00032781815,0.0003966636,0.00016485958],"domain_scores_gemma":[0.9997167,0.000043911772,0.000051364455,0.00012052605,0.000006896343,0.000060624756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069226895,0.00007273551,0.0001591177,0.000014127403,0.00014134689,0.000030369169,0.0002457422,0.000022680122,0.000038545462],"category_scores_gemma":[0.000060793303,0.00004452118,0.000030510295,0.0005621191,0.0018986617,0.00013439619,0.00017059532,0.00009714478,0.0000093356175],"study_design_candidate":"bench_or_experimental","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":[0.00018866337,0.000052908003,0.070914365,0.000016026177,0.000004926596,1.245818e-7,0.006674234,0.004695405,0.9065462,0.00035738948,0.000010482503,0.010539285],"study_design_scores_gemma":[0.0009659841,0.00002160111,0.13220926,0.0000044007347,0.000018497438,5.847004e-7,0.0011730568,0.77698237,0.0791215,0.009281126,0.000032912638,0.00018867957],"about_ca_topic_score_codex":0.00096674217,"about_ca_topic_score_gemma":0.00019577185,"teacher_disagreement_score":0.8274247,"about_ca_system_score_codex":0.0000542835,"about_ca_system_score_gemma":0.000018393735,"threshold_uncertainty_score":0.6995698},"labels":[],"label_agreement":null},{"id":"W3086986593","doi":"10.1038/s41598-020-71448-2","title":"Long-term application of fertilizer and manures affect P fractions in Mollisol","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":72,"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":"National Natural Science Foundation of China","keywords":"Mollisol; Term (time); Fertilizer; Affect (linguistics); Agronomy; Environmental science; Biology; Psychology; Soil water; Soil science; Physics","score_opus":0.011758962858316036,"score_gpt":0.24660759292487888,"score_spread":0.23484863006656284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086986593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790555,0.00005065236,0.00049472053,0.0002770495,0.000108593085,0.00013933079,6.5730046e-7,0.00001248963,0.0010109307],"genre_scores_gemma":[0.9996593,0.0000029744247,0.00006840815,0.00002944912,0.000006902298,0.000015097889,0.00000939329,0.000002617636,0.0002058714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902594,0.00002658917,0.0002269782,0.00039680908,0.00022293878,0.00010077049],"domain_scores_gemma":[0.99953943,0.000022245944,0.00009008953,0.00027006984,0.0000065066956,0.00007162424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036765152,0.00005460961,0.00010907559,0.00003356773,0.000077849705,0.000034723023,0.00005863316,0.000030010637,0.00037385797],"category_scores_gemma":[0.00007381477,0.00004510615,0.000041296065,0.00043361992,0.00020735734,0.00012913032,0.00006424962,0.0000492744,0.000024175812],"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":[0.0000050640506,0.000044226,0.98232186,0.000012479605,0.000003156259,0.000014411491,0.00042543744,0.00057910813,0.011463372,0.0000025945083,0.00027166368,0.0048566503],"study_design_scores_gemma":[0.000053386328,0.000011084228,0.99092555,0.0000037173675,0.000013471655,0.000008631978,0.00005632704,0.0022462308,0.0052012266,0.0007125246,0.0007069739,0.000060897495],"about_ca_topic_score_codex":0.00028732314,"about_ca_topic_score_gemma":0.0006460994,"teacher_disagreement_score":0.008603691,"about_ca_system_score_codex":0.000020363173,"about_ca_system_score_gemma":0.0000058961673,"threshold_uncertainty_score":0.40934828},"labels":[],"label_agreement":null},{"id":"W3094816041","doi":"10.1130/abs/2020am-354357","title":"DEVELOPMENT OF A CHRONOSEQUENCE-BASED CONCEPTUAL MODEL FOR ANTICIPATING THE IMPACT OF LANDSCAPE EVOLUTION ON GROUNDWATER RECHARGE IN DEGRADING PERMAFROST ENVIRONMENTS","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Permafrost; Chronosequence; Groundwater recharge; Groundwater; Geology; Conceptual model; Earth science; Environmental resource management; Hydrology (agriculture); Environmental science; Computer science; Geotechnical engineering; Soil science; Soil water; Aquifer","score_opus":0.05073399039959311,"score_gpt":0.26866282560050164,"score_spread":0.21792883520090853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094816041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871295,0.000013160243,0.012190396,0.00021527465,0.0000023166037,0.00036983844,0.000010927572,0.00000849166,0.000060083086],"genre_scores_gemma":[0.97277635,0.0000038383296,0.026997307,0.00010621687,0.0000053490667,0.00005725217,0.000043803502,0.000005671242,0.0000041860617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868596,0.00004347154,0.00042902018,0.00026941847,0.0002834103,0.00028870354],"domain_scores_gemma":[0.9993474,0.00013750118,0.0003175902,0.00011653802,0.000010542785,0.00007046452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003096618,0.00014708276,0.00032012688,0.000008125563,0.00008949737,0.0000058186906,0.00018164446,0.000078825935,0.00012594835],"category_scores_gemma":[0.000042305855,0.00007873415,0.00021150029,0.00022392855,0.00084865774,0.00006920327,0.000049345876,0.00013871056,0.0000026459395],"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":[0.00023427104,0.000716523,0.6527785,0.00003140492,0.00007622299,3.933064e-7,0.008904567,0.31523982,0.0048344946,0.0000027136334,0.000015383532,0.017165665],"study_design_scores_gemma":[0.00074026233,0.0014851955,0.51763415,0.000035988698,0.00003112976,2.6545965e-7,0.002784236,0.4756641,0.0013943218,0.00003510482,0.00004123185,0.00015402111],"about_ca_topic_score_codex":0.0006542533,"about_ca_topic_score_gemma":0.000024096302,"teacher_disagreement_score":0.16042428,"about_ca_system_score_codex":0.000117770745,"about_ca_system_score_gemma":0.000039934446,"threshold_uncertainty_score":0.32106853},"labels":[],"label_agreement":null},{"id":"W3095679327","doi":"10.5539/jas.v12n11p123","title":"Integrated Multi-criteria Land Suitability Evaluation and Mapping for Scaling Malt Barley Varieties in Rain-Fed Production Areas of Ethiopia","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Drainage; Altitude (triangle); Land use; Digital elevation model; Environmental science; Geography; Agronomy; Mathematics; Remote sensing; Biology; Ecology","score_opus":0.0378309534026608,"score_gpt":0.2771029158039713,"score_spread":0.2392719624013105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095679327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970848,0.000057512043,0.00047620374,0.0020362474,0.00009430269,0.00021311085,0.0000021275805,0.0000040150408,0.00003167134],"genre_scores_gemma":[0.99708307,0.0000122942665,0.0028092102,0.000037158494,0.000042158557,0.0000037408245,0.0000019097165,0.0000013968865,0.00000903724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985347,0.000119248805,0.00043049108,0.00023287654,0.00052083744,0.00016185865],"domain_scores_gemma":[0.99927646,0.000081011305,0.00023716538,0.00006059899,0.00023747982,0.00010726843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031958893,0.0000863376,0.00021470526,0.000047560137,0.0001297862,0.00005659915,0.0001839396,0.000040071624,0.00006699],"category_scores_gemma":[0.0019685598,0.00004850721,0.000062801475,0.00086803787,0.00030839862,0.0006695101,0.00006250186,0.00013195544,6.84303e-7],"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":[0.0000926319,0.000079717116,0.75505596,0.00004214394,0.000009593953,4.0825836e-7,0.007443107,0.0039051897,0.22718775,0.000004973195,0.000049810045,0.0061286823],"study_design_scores_gemma":[0.000377974,0.00009499961,0.97782606,0.00003178734,0.000024699106,0.0000092818345,0.0031760354,0.015187591,0.0030240149,0.00014582927,0.000025336305,0.00007637621],"about_ca_topic_score_codex":0.0002767601,"about_ca_topic_score_gemma":0.00027056193,"teacher_disagreement_score":0.22416374,"about_ca_system_score_codex":0.00016262988,"about_ca_system_score_gemma":0.000044766803,"threshold_uncertainty_score":0.23566921},"labels":[],"label_agreement":null},{"id":"W3096543596","doi":"10.1007/s11069-020-04390-1","title":"GIS-based multicriteria evaluation for earthquake response: a case study of expert opinion in Vancouver, Canada","year":2020,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Bundesministerium für Bildung und Forschung; Friedrich-Alexander-Universität Erlangen-Nürnberg","keywords":"Preparedness; Natural hazard; Expert opinion; Context (archaeology); Computer science; Geographic information system; Operations research; Risk analysis (engineering); Environmental resource management; Geography; Business; Engineering; Cartography; Political science; Environmental science","score_opus":0.030688104501061797,"score_gpt":0.3106876881684929,"score_spread":0.2799995836674311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096543596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983804,0.00010686558,0.000019243605,0.0005502706,0.00038733165,0.0005163546,0.000017302506,0.000007912936,0.000014321557],"genre_scores_gemma":[0.9993939,7.905083e-7,0.00020614703,0.00027812328,0.000027215605,0.00005966908,0.000009328445,0.0000052340274,0.000019610065],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986519,0.00026060283,0.00023971322,0.00025385595,0.00045128906,0.00014261308],"domain_scores_gemma":[0.9994944,0.0002047809,0.000052057756,0.00014906711,0.000033410008,0.000066333705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006176093,0.00009201246,0.00017012477,0.000025232654,0.000059068727,0.000007663685,0.000099476056,0.000038786344,0.0002769707],"category_scores_gemma":[0.0005252923,0.000075946016,0.000048618884,0.00028383333,0.00002730083,0.0000774084,0.00003346513,0.00008231428,0.0000011232453],"study_design_candidate":"simulation_or_modeling","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":[0.011832844,0.0019554049,0.26478267,0.00015440822,0.00013908671,0.00042999556,0.041487567,0.07602456,0.011556727,9.735932e-7,0.047109008,0.54452676],"study_design_scores_gemma":[0.005122333,0.00068664673,0.12894836,0.000014074353,0.000032738426,0.0000064589617,0.012963554,0.8434572,0.0007729032,0.0000075927214,0.007717865,0.0002702694],"about_ca_topic_score_codex":0.53850543,"about_ca_topic_score_gemma":0.93358624,"teacher_disagreement_score":0.76743263,"about_ca_system_score_codex":0.00025087627,"about_ca_system_score_gemma":0.00013233433,"threshold_uncertainty_score":0.4645677},"labels":[],"label_agreement":null},{"id":"W3109225104","doi":"10.1080/15230406.2020.1845981","title":"Spatial multi-criteria evaluation in 3D context: suitability analysis of urban vertical development","year":2020,"lang":"en","type":"article","venue":"Cartography and Geographic Information Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urban sprawl; Urban planning; Context (archaeology); Environmental planning; Geography; Geographic information system; Suitability analysis; Transport engineering; Metropolitan area; Computer science; Environmental resource management; Civil engineering; Environmental science; Cartography; Engineering","score_opus":0.019009168984962275,"score_gpt":0.25493273136971356,"score_spread":0.2359235623847513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109225104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520826,0.00003791384,0.0039280215,0.00011473063,0.000032802844,0.00020583982,0.000009302271,0.000014372216,0.00044873927],"genre_scores_gemma":[0.9991568,0.000009103073,0.0004840612,0.00029612693,0.00000338176,0.000021869433,0.000027348931,0.0000011300734,2.2411025e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802166,0.00008569792,0.00056684494,0.0002789443,0.0008050212,0.00024185248],"domain_scores_gemma":[0.9993769,0.000056063283,0.000085250016,0.00018884908,0.00011394129,0.00017899448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021790415,0.000113448485,0.00025095773,0.00065755536,0.0001882351,0.0000641704,0.0002190649,0.00005274699,0.00043446742],"category_scores_gemma":[0.00034276137,0.000097154014,0.00012600409,0.006565969,0.001011963,0.0013224924,0.00011939632,0.00008894891,0.000007557154],"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":[0.000021411635,0.00003731097,0.9566594,0.000009870577,0.000032112457,9.770014e-8,0.008659984,0.0005717866,0.0001540147,0.00003074977,0.0000029893952,0.033820283],"study_design_scores_gemma":[0.00030928798,0.000026472926,0.7799538,0.0000028182242,0.000107721586,1.2993168e-7,0.00080559094,0.2182427,0.00016098151,0.000013943929,0.00028156902,0.000094985924],"about_ca_topic_score_codex":0.0010039376,"about_ca_topic_score_gemma":0.0015590374,"teacher_disagreement_score":0.21767092,"about_ca_system_score_codex":0.000034193985,"about_ca_system_score_gemma":0.000047655318,"threshold_uncertainty_score":0.47571135},"labels":[],"label_agreement":null},{"id":"W3119212171","doi":"10.18331/sfs2021.7.2.2","title":"Case study Malaysia: Spatial water quality assessment of Juru, Kuantan and Johor River Basins using environmetric techniques","year":2021,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Water quality; Hydrology (agriculture); Water resource management; Environmental science; Drainage basin; Quality assessment; Quality (philosophy); Geography; Geology; Cartography; Evaluation methods; Engineering; Geotechnical engineering; Ecology","score_opus":0.18502014546119672,"score_gpt":0.3314639689605093,"score_spread":0.14644382349931256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119212171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929416,0.000031652384,0.00023793656,0.0000792431,0.00006956683,0.000071594484,0.000011372178,0.0000024887217,0.00020200448],"genre_scores_gemma":[0.9968572,0.00004681455,0.0030337605,0.00002068914,0.000015441565,0.0000010516295,6.9087065e-7,0.0000033603255,0.000020943915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718076,0.0010455177,0.00067198416,0.00025018278,0.00064862386,0.00020294376],"domain_scores_gemma":[0.9991568,0.00031852903,0.00025518757,0.00015242271,0.000041722655,0.00007539079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067294864,0.00011501196,0.00040025785,0.00014597834,0.00017786733,0.00007626815,0.00019934773,0.00004863755,0.00060349493],"category_scores_gemma":[0.00023408,0.00007418759,0.00007660149,0.00075144216,0.0007684949,0.0005555251,0.00022912036,0.00016345337,4.7068792e-7],"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":[0.000015931564,0.0003587833,0.9920678,0.000006355074,0.00001783405,0.00044744773,0.001085201,0.00034346784,0.0013831457,4.3607193e-7,0.000004522383,0.0042690644],"study_design_scores_gemma":[0.00019053227,0.00035337676,0.9932005,0.000007303405,0.00003067074,0.0004549718,0.003582344,0.0004746049,0.0014904932,0.00006969223,0.000038920854,0.000106631895],"about_ca_topic_score_codex":0.020586617,"about_ca_topic_score_gemma":0.023645664,"teacher_disagreement_score":0.0064954064,"about_ca_system_score_codex":0.00010913859,"about_ca_system_score_gemma":0.00005661335,"threshold_uncertainty_score":0.99417025},"labels":[],"label_agreement":null},{"id":"W3129807895","doi":"10.47277/jett/9(2)367","title":"Sustainable Use of Chemical in Agricultural Soils and Implications for Precision Agriculture","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Treatment Techniques","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Covenant University","keywords":"Agriculture; Environmental remediation; Environmental chemistry; Soil water; Nutrient; Soil test; Environmental science; Inductively coupled plasma mass spectrometry; Inductively coupled plasma; Chemistry; Mass spectrometry; Soil science; Contamination; Biology; Ecology; Physics","score_opus":0.015306335703427904,"score_gpt":0.23301954589782775,"score_spread":0.21771321019439985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129807895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982957,0.00012233223,0.00013687753,0.0010387235,0.000002907168,0.00028986292,0.000023824015,0.000007820835,0.00008192835],"genre_scores_gemma":[0.9929839,0.00034296807,0.006490926,0.00004910279,0.000020522206,0.000024851843,0.000009302448,0.0000045498946,0.000073897194],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99925005,0.000027087499,0.0003298763,0.00014869883,0.00011395957,0.00013030555],"domain_scores_gemma":[0.9995666,0.00008839794,0.00017232467,0.00007401659,0.0000056319564,0.00009300518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008501806,0.00011323099,0.00023946597,0.000020322414,0.00003255481,0.000015755488,0.00008734252,0.00006534282,0.000048774356],"category_scores_gemma":[0.000038041628,0.00006693966,0.00013362069,0.000105513805,0.00008566281,0.00030529802,0.00006427864,0.000058101963,7.729698e-7],"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":[0.00015901875,0.00087535987,0.3833548,0.000016320328,0.00006289714,0.000006385711,0.0009407233,0.000099797144,0.579832,0.00006344597,0.0009684694,0.033620764],"study_design_scores_gemma":[0.000750556,0.0012708957,0.808399,0.000019629118,0.000111737376,0.000035654753,0.0009577299,0.000046344874,0.18047701,0.0008369899,0.0069179856,0.00017642158],"about_ca_topic_score_codex":0.00006180222,"about_ca_topic_score_gemma":0.0000058613323,"teacher_disagreement_score":0.4250442,"about_ca_system_score_codex":0.00026179035,"about_ca_system_score_gemma":0.0000036054619,"threshold_uncertainty_score":0.27297202},"labels":[],"label_agreement":null},{"id":"W3134396159","doi":"10.5539/mas.v15n2p36","title":"Soil Property Variation within Taxa of ST at University of Nigeria, Nsukka","year":2021,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Topsoil; Subsoil; Silt; Soil series; Soil water; USDA soil taxonomy; Soil science; Environmental science; Soil test; Hydrology (agriculture); Geology; Soil classification; Geotechnical engineering; Geomorphology","score_opus":0.008631838993812289,"score_gpt":0.1753252999412472,"score_spread":0.16669346094743492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134396159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96977144,0.000006189903,0.010245088,0.000084464,0.000026072954,0.00006379098,0.000009123524,0.000011094288,0.01978274],"genre_scores_gemma":[0.99717426,0.000003820882,0.0011690602,0.000027842972,0.0000034996356,6.715483e-7,0.0000030628826,0.000002432573,0.001615366],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879235,0.000027004027,0.00014835817,0.0003649424,0.0005099536,0.00015739776],"domain_scores_gemma":[0.99944586,0.000022923485,0.00011653965,0.0003141426,0.000031190855,0.00006933878],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005760039,0.00006653225,0.00014743897,0.000025827107,0.00021843352,0.000010525247,0.00031691702,0.00003543743,0.0010089887],"category_scores_gemma":[0.000040216943,0.00005103312,0.000042130905,0.0006594811,0.0007323093,0.00013595234,0.00034611722,0.000048487873,0.000037999955],"study_design_candidate":"bench_or_experimental","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":[0.000029426079,0.00012662105,0.03030078,0.000011474285,0.0000066349257,0.0000017926803,0.0049763094,0.0114021,0.9500281,0.00011597196,0.000042960633,0.0029577955],"study_design_scores_gemma":[0.00079619826,0.0000626194,0.29674366,0.000015441905,0.00006425252,0.0000048347038,0.0022508581,0.4037266,0.28940102,0.005735764,0.0007751887,0.00042351702],"about_ca_topic_score_codex":0.00097601337,"about_ca_topic_score_gemma":0.0021325473,"teacher_disagreement_score":0.6606271,"about_ca_system_score_codex":0.00013827418,"about_ca_system_score_gemma":0.0000777899,"threshold_uncertainty_score":0.9999042},"labels":[],"label_agreement":null},{"id":"W3136052704","doi":"10.1145/3263936","title":"Session details: Special issue on the 2010 GreenMetrics workshop","year":2011,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Soil and Land Suitability Analysis","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":"University of Calgary","funders":"","keywords":"Session (web analytics); Computer science; Psychology; World Wide Web","score_opus":0.1245810294018464,"score_gpt":0.3143339311407501,"score_spread":0.1897529017389037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136052704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75771785,0.025991393,0.00021921989,0.0066811764,0.0021065448,0.003113542,0.000008191479,0.00011546078,0.20404665],"genre_scores_gemma":[0.7581447,0.21905448,0.0021840357,0.012196109,0.0022128755,0.0004927999,0.000068076566,0.00005885203,0.0055881185],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968116,0.0003754164,0.00051167124,0.00041146952,0.0015880459,0.00030177983],"domain_scores_gemma":[0.9976768,0.0006715643,0.00025349815,0.0011976449,0.00009518555,0.000105322346],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0065061944,0.0002102869,0.00030299067,0.00019318602,0.00035204762,0.000033947967,0.0008819418,0.000096971344,0.082818635],"category_scores_gemma":[0.0074425163,0.00012421455,0.00017026665,0.0051426915,0.000116970274,0.0003597169,0.00027385214,0.00031040364,0.006457235],"study_design_candidate":"design_other","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":[0.000009475444,0.00010007277,0.069032684,0.00006955582,0.000014118317,4.96651e-7,0.00016815901,0.000094491006,0.0000015773368,0.000013684428,0.053874604,0.87662107],"study_design_scores_gemma":[0.00047578727,0.00025195957,0.5919965,0.00069895084,0.00068108103,0.000005350217,0.00017633881,0.017104037,0.00026479227,0.00068798475,0.3870164,0.00064082287],"about_ca_topic_score_codex":0.000052824962,"about_ca_topic_score_gemma":0.00003407011,"teacher_disagreement_score":0.87598026,"about_ca_system_score_codex":0.00021507092,"about_ca_system_score_gemma":0.000029644845,"threshold_uncertainty_score":0.99431634},"labels":[],"label_agreement":null},{"id":"W3138631854","doi":"10.28924/2291-8639-19-2021-91","title":"Soil Quality Prediction for Determining Soil Fertility in Bhimtal Block of Uttarakhand (India) Using Machine Learning","year":2020,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Soil fertility; Agriculture; Soil quality; Environmental science; Agricultural engineering; Nutrient; Soil carbon; Mathematics; Soil test; Agronomy; Agroforestry; Geography; Soil science; Soil water; Engineering; Biology; Ecology","score_opus":0.027481237812836106,"score_gpt":0.3008156163798241,"score_spread":0.273334378566988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138631854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96108913,0.000051709045,0.03834318,0.00032428067,0.000012304455,0.000058984355,0.000043564884,0.000003380929,0.000073457166],"genre_scores_gemma":[0.99889696,0.000035913563,0.00092248403,0.000047526686,0.000059770402,0.000006604789,0.000018765186,0.0000033551344,0.000008635543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987553,0.000063025014,0.0006223503,0.00016824594,0.00030778916,0.00008330702],"domain_scores_gemma":[0.9992309,0.0001304289,0.0004059029,0.00006828497,0.00008543821,0.00007902566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005734946,0.00007372827,0.0002692345,0.0001279939,0.00007146555,0.000027618817,0.00017593971,0.00003822906,0.0000956564],"category_scores_gemma":[0.0001211605,0.00006446422,0.00023645148,0.00044149434,0.000072355135,0.00014484352,0.000059937876,0.00011707721,7.042635e-7],"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":[0.00007195586,0.00008918042,0.90171295,0.0000071536497,0.00031556448,6.3724707e-7,0.00041236423,0.08509478,0.005221556,0.000012136076,0.0000015171638,0.007060185],"study_design_scores_gemma":[0.0005168482,0.00007224064,0.6060104,0.0000078234525,0.00045686413,0.0000038075032,0.00033318234,0.3903494,0.0015457671,0.00033712309,0.00028550273,0.00008111325],"about_ca_topic_score_codex":0.0006019417,"about_ca_topic_score_gemma":0.0006446731,"teacher_disagreement_score":0.3052546,"about_ca_system_score_codex":0.00005956027,"about_ca_system_score_gemma":0.000015722128,"threshold_uncertainty_score":0.26287746},"labels":[],"label_agreement":null},{"id":"W3138906808","doi":"10.5539/mas.v15n2p63","title":"The Assessment of Soil Fertility Index for Evaluation of Rice Production in Karanganyar Regency","year":2021,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Soil fertility; Environmental science; Nutrient management; Agronomy; Soil management; Oryza sativa; Mathematics; Manure; Fertility; Agricultural engineering; Soil water; Nutrient; Population; Biology; Soil science; Ecology","score_opus":0.02433452441522842,"score_gpt":0.29864413190255795,"score_spread":0.2743096074873295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138906808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857808,0.000040226732,0.00963918,0.00022421248,0.00005017045,0.00029038105,0.0000017494712,0.000004168955,0.0039691185],"genre_scores_gemma":[0.9994271,0.000005131022,0.00042389834,0.000010202911,0.0000051861693,0.000080995414,0.0000015019733,0.0000021218318,0.000043909],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981272,0.00007025845,0.00026925805,0.00037730526,0.0009833394,0.00017262732],"domain_scores_gemma":[0.9992721,0.000075480864,0.00010586283,0.00041313807,0.00010481305,0.000028590548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005412543,0.00005912184,0.00011842958,0.000030798277,0.00019556977,0.000014842578,0.0002600648,0.00002618912,0.000037790724],"category_scores_gemma":[0.00030933486,0.000042429016,0.000041373747,0.00088671927,0.0004912847,0.00014763187,0.00009824301,0.000057735346,0.0000011690502],"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":[0.000046202418,0.00034737305,0.15147829,0.000038147886,0.000008002422,8.113368e-8,0.0014523985,0.08562164,0.66383857,0.00029170423,0.000012500465,0.09686511],"study_design_scores_gemma":[0.00015861096,0.0000066461257,0.56502074,0.0000022641743,0.000013453765,1.2884108e-7,0.00020811209,0.39014018,0.031113373,0.0132922325,0.0000068118,0.00003744227],"about_ca_topic_score_codex":0.00021784898,"about_ca_topic_score_gemma":0.0014102764,"teacher_disagreement_score":0.6327252,"about_ca_system_score_codex":0.00020614524,"about_ca_system_score_gemma":0.00017620744,"threshold_uncertainty_score":0.18758902},"labels":[],"label_agreement":null},{"id":"W3139440983","doi":"10.1145/3264362","title":"Session details: Special issue on the 2012 GreenMetrics workshop","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Soil and Land Suitability Analysis","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":"University of Calgary","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","score_opus":0.08309064493100063,"score_gpt":0.3305319293506438,"score_spread":0.24744128441964316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139440983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75687635,0.11436803,0.00023480206,0.01278313,0.0023266876,0.0029783302,0.000008525299,0.00010275182,0.11032142],"genre_scores_gemma":[0.8310521,0.15172078,0.0006938832,0.00900247,0.0038737275,0.00031031907,0.000062014806,0.000036787656,0.0032479244],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964734,0.00046287556,0.00049002224,0.0003043307,0.0018320164,0.00043736724],"domain_scores_gemma":[0.997349,0.001112236,0.00024261056,0.0010649955,0.00007394337,0.00015717221],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00947558,0.0002143499,0.00030609625,0.0001796824,0.00038566763,0.000041598283,0.00068631396,0.00009481946,0.061331082],"category_scores_gemma":[0.0079638,0.00012622894,0.00016962737,0.005292202,0.00009071299,0.0008038538,0.00027567946,0.0002977247,0.008447528],"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":[0.0000047243207,0.00010218714,0.1184049,0.00007138699,0.000011931066,9.0284836e-8,0.00008546898,0.00021214073,0.000001710277,0.000015183886,0.08606243,0.79502785],"study_design_scores_gemma":[0.0002040189,0.000058556307,0.24783477,0.0002926965,0.0003472824,0.0000028139184,0.00006909499,0.005222861,0.000062595274,0.00008076825,0.7455199,0.00030468666],"about_ca_topic_score_codex":0.000013851425,"about_ca_topic_score_gemma":0.000010812765,"teacher_disagreement_score":0.79472315,"about_ca_system_score_codex":0.00031217595,"about_ca_system_score_gemma":0.00002203252,"threshold_uncertainty_score":0.99232453},"labels":[],"label_agreement":null},{"id":"W3153371253","doi":"10.1155/2021/5564286","title":"An Integrated Multicriteria Decision-Making Approach to Evaluate Traveler Modes’ Priority: An Application to Peshawar, Pakistan","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Ranking (information retrieval); Service (business); Bus rapid transit; Computer science; Transport engineering; Passenger transport; Operations research; Preference; Mode (computer interface); Reliability (semiconductor); Multiple-criteria decision analysis; Public transport; Business; Mathematics; Engineering; Statistics","score_opus":0.011044933853688241,"score_gpt":0.31173943981752683,"score_spread":0.30069450596383857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153371253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6370032,0.000010629545,0.3626892,0.00005381023,0.000042102463,0.00012185367,0.000014090094,0.000010068752,0.000055080247],"genre_scores_gemma":[0.8209202,0.00000744901,0.17878398,0.00016431102,0.000032754207,0.000012243837,0.000058412235,0.00001208118,0.000008537703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982211,0.0000942475,0.00060974725,0.00034954856,0.0005418567,0.00018348354],"domain_scores_gemma":[0.99906373,0.00004949222,0.00016769284,0.000272614,0.00018622132,0.00026027815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005728088,0.00014200702,0.00026332051,0.000090164845,0.00010288892,0.000054742617,0.00020641416,0.00006079154,0.00016913681],"category_scores_gemma":[0.000055849945,0.00012129831,0.000104151506,0.0006544285,0.000022326763,0.0007530163,0.0000044351823,0.00014792707,0.00000937675],"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":[0.00032664285,0.00035831318,0.006833832,0.000007259059,0.00001534921,0.000008886881,0.0055133756,0.642153,0.054929413,0.000023223054,0.00000491026,0.28982577],"study_design_scores_gemma":[0.0009287584,0.00037953284,0.93291,0.00006970494,0.00016341599,0.000016392387,0.0090274755,0.05031118,0.0027366471,0.0018250009,0.0012863176,0.00034552588],"about_ca_topic_score_codex":0.00006369038,"about_ca_topic_score_gemma":0.0012237722,"teacher_disagreement_score":0.92607623,"about_ca_system_score_codex":0.00017090695,"about_ca_system_score_gemma":0.000039203846,"threshold_uncertainty_score":0.49464017},"labels":[],"label_agreement":null},{"id":"W3161785672","doi":"10.1111/tgis.12768","title":"GIS.LSP: A soft computing logic method and tool for geospatial suitability analysis","year":2021,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geospatial analysis; Workflow; Computer science; Geographic information system; Software; Key (lock); Process (computing); Data mining; Database; Geography; Cartography","score_opus":0.01708752078322023,"score_gpt":0.2851384996269372,"score_spread":0.268050978843717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161785672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36355248,0.000033773907,0.6355883,0.0004204753,0.000028338707,0.000091034206,0.000024614645,0.000020352478,0.00024065378],"genre_scores_gemma":[0.96268594,0.000012676979,0.036842432,0.000116135816,0.000012762252,0.000025053494,0.0000168289,0.0000052866794,0.00028290323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986525,0.00017207973,0.00030090727,0.00046637366,0.0001623506,0.0002457884],"domain_scores_gemma":[0.99907225,0.0005369834,0.00003783641,0.0002752123,0.000018243245,0.000059457918],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007860335,0.00011673041,0.0003097601,0.000072115356,0.00021719845,0.00003781224,0.00009148004,0.00008198431,0.0037265823],"category_scores_gemma":[0.00009671698,0.00010836922,0.00025876766,0.0010920258,0.00010237615,0.00011781706,0.000019268346,0.00012943929,0.000008409751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004161955,0.00040622737,0.5325579,0.000038283983,0.0003425755,0.0000061827154,0.002066232,0.2013956,0.0004481109,0.000041253195,0.00001553074,0.26264045],"study_design_scores_gemma":[0.0006276043,0.000041737945,0.64042765,0.000004341809,0.0009766147,0.0000069281236,0.00068424956,0.35219508,0.00046646156,0.0032082214,0.0010668661,0.0002942258],"about_ca_topic_score_codex":0.0027657475,"about_ca_topic_score_gemma":0.020176703,"teacher_disagreement_score":0.59913343,"about_ca_system_score_codex":0.000103633276,"about_ca_system_score_gemma":0.00001574215,"threshold_uncertainty_score":0.99770254},"labels":[],"label_agreement":null},{"id":"W3170403697","doi":"10.1016/j.compenvurbsys.2021.101654","title":"GIS-based Logic Scoring of Preference method for urban densification suitability analysis","year":2021,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preference; Computer science; Remote sensing; Data mining; Geography; Mathematics; Statistics","score_opus":0.036318827390440865,"score_gpt":0.23995103314334276,"score_spread":0.2036322057529019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170403697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47284427,0.00058775855,0.5258145,0.000098576405,0.00010014929,0.00029896238,0.00002137248,0.000021363414,0.00021306566],"genre_scores_gemma":[0.98515075,0.00001825087,0.0143670505,0.000039370643,0.000034072073,0.00004964865,0.00006581442,0.000007643622,0.00026737334],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981795,0.00024842966,0.0004359943,0.0006232261,0.000286721,0.00022615776],"domain_scores_gemma":[0.9987582,0.00039484393,0.00017907878,0.00054243027,0.000013982952,0.00011149368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007201413,0.000170685,0.00045848484,0.00006420502,0.00012375088,0.000043508287,0.00016713272,0.0000809006,0.00014316781],"category_scores_gemma":[0.000038493552,0.00015084035,0.00023106924,0.00034450364,0.00014108229,0.00008258332,0.00011466201,0.00006149404,0.0000075585585],"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":[0.000020552487,0.00014603935,0.94759977,0.00009344789,0.0002259534,0.0000012059946,0.0003757304,0.046898376,0.0018122268,0.00020620604,0.00020561246,0.0024148787],"study_design_scores_gemma":[0.0005091742,0.00009579442,0.4733258,0.000022974267,0.00083547644,0.0000016739305,0.0002665015,0.5201428,0.0014373903,0.00022362958,0.0028355317,0.00030330525],"about_ca_topic_score_codex":0.00023183844,"about_ca_topic_score_gemma":0.00003424551,"teacher_disagreement_score":0.5123065,"about_ca_system_score_codex":0.0001287285,"about_ca_system_score_gemma":0.000009784419,"threshold_uncertainty_score":0.6151091},"labels":[],"label_agreement":null},{"id":"W3173229225","doi":"","title":"Land use impacts on soil quality","year":2019,"lang":"en","type":"book-chapter","venue":"Agritrop (Cirad)","topic":"Soil and Land Suitability Analysis","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":"University of Alberta; FPInnovations","funders":"","keywords":"Environmental science; Quality (philosophy); Physics","score_opus":0.029810873919561342,"score_gpt":0.23904915433629711,"score_spread":0.20923828041673578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173229225","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26246324,0.000112188914,0.000010154534,0.0007144573,0.00021062409,0.00023936787,0.00016395586,0.00008553844,0.7360005],"genre_scores_gemma":[0.377024,0.00018351966,0.00002857006,0.0011527698,0.00019882558,0.0000042630227,0.00016152252,0.00005110606,0.62119544],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976927,0.00007039672,0.0003815596,0.0007319783,0.00071441615,0.00040891828],"domain_scores_gemma":[0.9983425,0.0002901682,0.00020857574,0.00092165696,0.000014562195,0.00022254307],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036644205,0.00042373108,0.000607563,0.00006148831,0.000121936246,0.000093691866,0.00035245655,0.00041844885,0.008832444],"category_scores_gemma":[0.00007177437,0.00031765408,0.00043277603,0.00005608157,0.00018425216,0.0001946063,0.0002017903,0.00051297946,0.010256727],"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":[0.0011083226,0.00089128333,0.6669861,0.00041804777,0.0015460672,0.00027307993,0.0013799964,0.0028538718,0.0010120748,0.030024407,0.23595378,0.057552997],"study_design_scores_gemma":[0.0008353305,0.00033673662,0.30448496,0.00010177768,0.0002896188,0.000008171032,0.000026393753,0.00011194468,0.00008052746,0.0056323507,0.68669724,0.0013949266],"about_ca_topic_score_codex":0.004447535,"about_ca_topic_score_gemma":0.005274919,"teacher_disagreement_score":0.4507435,"about_ca_system_score_codex":0.00026954873,"about_ca_system_score_gemma":0.000027986518,"threshold_uncertainty_score":0.9999276},"labels":[],"label_agreement":null},{"id":"W3174543643","doi":"10.5194/isprs-archives-xliii-b3-2021-623-2021","title":"DETERMINATION OF REGIONS SUITABLE FOR AGRICULTURE IN THE GORDON COSENS FOREST OF ONTARIO BY MEANS OF ANALYTICAL HIERARCHY PROCESS WITH FUZZY LOGIC INFERENCE","year":2021,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Soil and Land Suitability Analysis","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":true,"ca_institutions":"York University","funders":"","keywords":"Analytic hierarchy process; Fuzzy logic; Pairwise comparison; Inference; Hierarchy; Rule of inference; Range (aeronautics); Process (computing); Geography; Computer science; Data mining; Mathematics; Environmental science; Artificial intelligence; Operations research; Engineering","score_opus":0.015877569394525764,"score_gpt":0.2525233757823756,"score_spread":0.23664580638784985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174543643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11637574,0.000014514895,0.8734688,0.0023383151,0.00020727245,0.00053037604,0.0001074183,0.00000818531,0.006949391],"genre_scores_gemma":[0.99672556,0.0000467543,0.0027519548,0.00031511238,0.000019855805,6.540008e-7,0.000053239168,0.000004360049,0.00008250315],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965043,0.00023840746,0.0011670338,0.00028694203,0.0014874568,0.00031586533],"domain_scores_gemma":[0.9966978,0.0012679204,0.0013375906,0.00034296405,0.00028245625,0.000071271235],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012964793,0.0002485653,0.0004030358,0.00034913208,0.0004968007,0.0001761149,0.0010906359,0.00007287492,0.000008750342],"category_scores_gemma":[0.0007811598,0.000131831,0.00027447246,0.0011392847,0.0028199914,0.00036253923,0.0003775279,0.0002781598,3.3027425e-7],"study_design_candidate":"simulation_or_modeling","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":[0.00020161286,0.00007483291,0.007825421,0.00007042624,0.000064562344,2.3943986e-7,0.011514054,0.014031781,0.0015412257,0.00003057964,0.000025245925,0.96462],"study_design_scores_gemma":[0.0005707911,0.00019759672,0.015909392,0.00022029712,0.000061638064,0.00004493307,0.0045815036,0.9619446,0.006193111,0.009352547,0.0007640253,0.00015959404],"about_ca_topic_score_codex":0.8332289,"about_ca_topic_score_gemma":0.79466844,"teacher_disagreement_score":0.96446043,"about_ca_system_score_codex":0.000055315155,"about_ca_system_score_gemma":0.00025007705,"threshold_uncertainty_score":0.9998938},"labels":[],"label_agreement":null},{"id":"W3196893064","doi":"10.18280/ijsdp.160402","title":"Problematic Soil Risk Assessment Approach for Sustainable Spatial Suitability of Urban Land Use in New Cities by Using GIS and Remote Sensing: A Case Study of New East Port Said City","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Port (circuit theory); Land use; Environmental science; Remote sensing; Environmental planning; Environmental engineering; Geography; Civil engineering; Engineering","score_opus":0.030364902938364923,"score_gpt":0.27078338271887464,"score_spread":0.24041847978050973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196893064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97871953,0.000117443,0.020783465,0.00004048518,0.000022270999,0.00024623345,0.0000040423315,0.0000024600154,0.00006405985],"genre_scores_gemma":[0.9777196,0.000008204755,0.021627653,0.000008815182,0.000026401229,6.2026106e-7,0.000011638857,0.000006565911,0.0005905041],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99825585,0.00010646612,0.0007330461,0.00021883751,0.0004490498,0.00023678089],"domain_scores_gemma":[0.99879676,0.00017977711,0.0004894569,0.000085236126,0.00033335356,0.000115402756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013416548,0.00013970492,0.00038120526,0.00016815434,0.000121053316,0.00010833407,0.0001001832,0.000051008607,0.000025460502],"category_scores_gemma":[0.000409837,0.0001231535,0.000051596806,0.00020504513,0.00005549865,0.00047166104,0.0001864852,0.0001509836,1.459373e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001754132,0.00022472923,0.9620854,0.00015483017,0.00020945664,0.0016186778,0.023683898,0.006755271,0.00003268987,0.0000053966146,0.000096387696,0.004957838],"study_design_scores_gemma":[0.0045795683,0.00029874206,0.41411337,0.00019745411,0.00024779598,0.0011087235,0.53174806,0.04504675,0.00039813295,0.0016176958,0.00026702206,0.00037669507],"about_ca_topic_score_codex":0.040691633,"about_ca_topic_score_gemma":0.0014163257,"teacher_disagreement_score":0.547972,"about_ca_system_score_codex":0.00033410496,"about_ca_system_score_gemma":0.0004978957,"threshold_uncertainty_score":0.9656965},"labels":[],"label_agreement":null},{"id":"W3197983442","doi":"10.21608/fjard.2020.189882","title":"ASSESSMENT AND SPATIAL DISTRIBUTION OF NIKLE WITHIN SOILS OF IBSHWAY DISTRICT AREA, FAYOUM GOVERNORATE, EGYPT","year":2020,"lang":"en","type":"article","venue":"Fayoum Journal of Agricultural Research and Development /Fayoum Journal of Agricultural Research and Development","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Soil water; Distribution (mathematics); Spatial distribution; Geography; Environmental science; Soil science; Remote sensing; Mathematics","score_opus":0.05984738317711264,"score_gpt":0.30937976358526087,"score_spread":0.24953238040814824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197983442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956889,0.0013307105,0.0003892769,0.0017049322,0.000106880514,0.00039640893,0.000039622755,0.0000068651507,0.0003363597],"genre_scores_gemma":[0.99464947,0.0018305389,0.003001885,0.00002174627,0.00015591724,0.000010026787,0.00006910117,0.000011883238,0.00024944995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9907129,0.0006103174,0.0024349624,0.0005385414,0.004659023,0.0010442865],"domain_scores_gemma":[0.99390775,0.0007431613,0.0012872557,0.00015702663,0.0023989147,0.0015058641],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005437079,0.00047383245,0.0011636085,0.00027534436,0.00074902107,0.00029684938,0.00072986406,0.00022783973,0.00018304563],"category_scores_gemma":[0.0010407272,0.00024992746,0.00018033218,0.001487058,0.0009302192,0.0010174838,0.0009016722,0.0015797925,0.000009022868],"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":[0.003989343,0.0031788165,0.7154019,0.0012434276,0.0025315518,0.00039324418,0.024170766,0.0010362836,0.11691292,0.00026708006,0.038601514,0.09227316],"study_design_scores_gemma":[0.0016972597,0.002442345,0.96357393,0.0003311149,0.000037723905,0.00028119335,0.0124922125,0.000026436237,0.016322007,0.000109524,0.0023231558,0.00036309243],"about_ca_topic_score_codex":0.00029024872,"about_ca_topic_score_gemma":0.00028101128,"teacher_disagreement_score":0.24817204,"about_ca_system_score_codex":0.00079265115,"about_ca_system_score_gemma":0.00085670466,"threshold_uncertainty_score":0.9999953},"labels":[],"label_agreement":null},{"id":"W3215274613","doi":"10.3390/ijgi10120801","title":"Estimation of Agricultural Dykelands Cultivated in Nova Scotia Using Land Property Boundaries and Crop Inventory","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"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 Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Dalhousie University","keywords":"Nova scotia; Hectare; Agriculture; Crop; Forage; Geography; Agricultural land; Land use; Crop yield; Environmental science; Agricultural science; Agroforestry; Forestry; Agronomy; Biology; Ecology","score_opus":0.009657700523526498,"score_gpt":0.240662698277797,"score_spread":0.2310049977542705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215274613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972964,0.000027283737,0.001466827,0.00040634046,0.0002164206,0.000035925652,0.000006131497,0.000002709513,0.00054194825],"genre_scores_gemma":[0.9990152,0.000012833728,0.0008152943,0.00007122764,0.000020918233,2.7822836e-7,0.00003934641,0.0000013112174,0.000023602159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989362,0.000038230406,0.00049004634,0.000048655973,0.00041208378,0.00007479733],"domain_scores_gemma":[0.99941003,0.000019092266,0.00031721982,0.00004489275,0.00017357204,0.00003521293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002904869,0.00006643143,0.00013096657,0.00010260163,0.000045770434,0.0001365444,0.000105175,0.00004377766,0.00024234706],"category_scores_gemma":[0.00021858106,0.000041798805,0.00005158229,0.00017895823,0.0001016278,0.0021581321,0.00006180676,0.00009785218,0.000010055998],"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":[0.0001123703,0.000078958525,0.91153973,0.000028201785,0.00009035941,0.00000655718,0.0040120888,0.059575226,0.0016453111,0.000056638488,0.00028478506,0.022569789],"study_design_scores_gemma":[0.0010879767,0.000046054047,0.9274034,0.00011826803,0.000036192407,0.00017342594,0.0009849515,0.06505111,0.003659883,0.0002636756,0.001057492,0.00011759849],"about_ca_topic_score_codex":0.0018213998,"about_ca_topic_score_gemma":0.0006402555,"teacher_disagreement_score":0.02245219,"about_ca_system_score_codex":0.0001744523,"about_ca_system_score_gemma":0.000050739967,"threshold_uncertainty_score":0.27534238},"labels":[],"label_agreement":null},{"id":"W4200199800","doi":"10.2478/eko-2021-0035","title":"Analysis of Calcareous Soils for Two Various Facies within the Nature Reserve of El-Mergueb (M’sila, Algeria)","year":2021,"lang":"en","type":"article","venue":"Ochrana prírody Slovenska/Ekológia","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"University of Tehran; International Development Research Centre","keywords":"Calcium carbonate; Calcareous; Carbonate; Gypsum; Soil survey; Soil water; Soil test; Facies; Soil horizon; Geology; Lime; Steppe; Soil science; Weathering; Soil pH; Environmental science; Geography; Geomorphology; Chemistry; Structural basin","score_opus":0.010275505328949058,"score_gpt":0.27279123349733436,"score_spread":0.2625157281683853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200199800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916165,0.0016509963,0.00045862797,0.0013998777,0.0002529144,0.00037276643,0.00036550086,0.00004057838,0.0038422467],"genre_scores_gemma":[0.99690473,0.00006822017,0.00071028585,0.0003165527,0.000059550723,0.000019884188,0.00019950767,0.00003046109,0.0016908223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99616534,0.00035924924,0.0009800133,0.00090561167,0.0009986465,0.0005911498],"domain_scores_gemma":[0.99680644,0.00070357736,0.00051754323,0.001598961,0.00020280085,0.00017065802],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013993081,0.00039263634,0.0011559097,0.0001860407,0.00027420348,0.00006460155,0.00089345005,0.0003506776,0.0015441536],"category_scores_gemma":[0.00093537767,0.00028468756,0.0011121708,0.0026588344,0.0006952182,0.00020015822,0.000410028,0.00048075448,0.000036179692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011520314,0.0019001511,0.60955673,0.00062093226,0.015055407,0.00019583701,0.018994808,0.21669617,0.11365724,0.005470807,0.005595072,0.011104795],"study_design_scores_gemma":[0.0049869283,0.0009223797,0.6857649,0.0001935936,0.018307522,0.000068424255,0.010590453,0.111778185,0.14309907,0.009702071,0.011876747,0.0027097326],"about_ca_topic_score_codex":0.004622216,"about_ca_topic_score_gemma":0.018801756,"teacher_disagreement_score":0.10491799,"about_ca_system_score_codex":0.00014906157,"about_ca_system_score_gemma":0.000114387316,"threshold_uncertainty_score":0.99996054},"labels":[],"label_agreement":null},{"id":"W4200387095","doi":"10.18671/scifor.v49n132.16","title":"Effect of salinity on the vegetative characteristics, biomass and chemical content of red mangrove seedlings in the south of Iran","year":2021,"lang":"en","type":"article","venue":"Scientia Forestalis","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Mangrove; Biomass (ecology); Salinity; Chemical composition; Botany; Horticulture; Agronomy; Environmental science; Biology; Chemistry; Ecology","score_opus":0.01847166080506415,"score_gpt":0.23005251352098488,"score_spread":0.21158085271592073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200387095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99893254,0.000016651898,0.000006735029,0.00023823963,0.000028094186,0.00011395299,0.000059760474,0.0000016924034,0.0006023127],"genre_scores_gemma":[0.99989706,0.00000202295,0.000015879428,0.00003367681,0.000004137088,0.0000045526313,0.0000137895295,0.0000023184468,0.000026583524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892795,0.00023136509,0.00023429295,0.0001784623,0.0003171649,0.000110755755],"domain_scores_gemma":[0.99916416,0.0004167056,0.0001307217,0.00024437517,0.000019033749,0.00002497283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283519,0.000072590046,0.00020387092,0.000025176601,0.000038171926,0.000010925444,0.00018063045,0.000032061842,0.00009691719],"category_scores_gemma":[0.00048796504,0.000036713733,0.000095735,0.00036346773,0.00074844656,0.000037011796,0.00010239991,0.00006491507,0.000001722891],"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":[0.00012795313,0.00014521946,0.84382117,0.00008687423,0.000038665818,0.0000039550223,0.012171557,0.00000810085,0.14248504,0.0001718714,0.00003992346,0.0008996443],"study_design_scores_gemma":[0.00031543092,0.00013284195,0.75596935,0.000032418913,0.00005656263,9.914353e-7,0.0014455836,0.00047531244,0.24113153,0.0003751212,0.000012713308,0.00005216401],"about_ca_topic_score_codex":0.0004772945,"about_ca_topic_score_gemma":0.0001768701,"teacher_disagreement_score":0.098646484,"about_ca_system_score_codex":0.000016251468,"about_ca_system_score_gemma":0.0000077887025,"threshold_uncertainty_score":0.27576825},"labels":[],"label_agreement":null},{"id":"W4212778588","doi":"10.32920/19178279.v1","title":"Spreading Municipal Biosolids on Agricultural Soils – A Sustainable Waste Management Strategy or Threat to Our Streams and Lakes?","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Biosolids; Environmental science; Sewage; Pollutant; Agriculture; Wastewater; Soil water; STREAMS; Environmental engineering; Sewage sludge; Blackwater; Waste management; Sewage treatment; Land reclamation; Environmental protection; Engineering; Ecology; Biology","score_opus":0.019596119629092277,"score_gpt":0.26522332272827315,"score_spread":0.24562720309918087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212778588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8866746,0.00002383461,0.000012911828,0.0007681579,0.000077168115,0.00060951116,0.000023655508,0.00006982603,0.111740366],"genre_scores_gemma":[0.91055816,0.00009588298,0.0002012741,0.00021742343,0.000052470776,0.00020158432,0.000063278014,0.000015506803,0.08859443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9974178,0.000118087,0.00031946637,0.0009658013,0.0005355468,0.00064330857],"domain_scores_gemma":[0.9989546,0.000044047785,0.00008039131,0.0006518817,0.000010076596,0.0002590212],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040210068,0.00039981757,0.00042729735,0.00010802304,0.0003668944,0.00025266828,0.0005447126,0.00013314337,0.0042576264],"category_scores_gemma":[0.000019971836,0.00025045293,0.00016678282,0.00040967859,0.000045937155,0.0001269851,0.0034706716,0.0003879227,0.000094386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060917786,0.0011341866,0.051397976,0.00074192416,0.00094084867,0.00089374353,0.009645323,0.87603414,0.000102326936,0.0056991964,0.0117042875,0.041096855],"study_design_scores_gemma":[0.0017999723,0.0017009147,0.13058423,0.0002142442,0.00084358983,0.00003309772,0.82489973,0.01747526,0.00046189173,0.006066484,0.012600656,0.0033199373],"about_ca_topic_score_codex":0.009662947,"about_ca_topic_score_gemma":0.0050855256,"teacher_disagreement_score":0.8585589,"about_ca_system_score_codex":0.0004954196,"about_ca_system_score_gemma":0.000012439194,"threshold_uncertainty_score":0.99999475},"labels":[],"label_agreement":null},{"id":"W4212997981","doi":"10.32920/19178279","title":"Spreading Municipal Biosolids on Agricultural Soils – A Sustainable Waste Management Strategy or Threat to Our Streams and Lakes?","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Biosolids; Environmental science; Sewage; Pollutant; Agriculture; Wastewater; Soil water; STREAMS; Environmental engineering; Sewage sludge; Blackwater; Waste management; Sewage treatment; Land reclamation; Environmental protection; Engineering; Ecology; Biology","score_opus":0.019596119629092277,"score_gpt":0.26522332272827315,"score_spread":0.24562720309918087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212997981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8866746,0.00002383461,0.000012911828,0.0007681579,0.000077168115,0.00060951116,0.000023655508,0.00006982603,0.111740366],"genre_scores_gemma":[0.91055816,0.00009588298,0.0002012741,0.00021742343,0.000052470776,0.00020158432,0.000063278014,0.000015506803,0.08859443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9974178,0.000118087,0.00031946637,0.0009658013,0.0005355468,0.00064330857],"domain_scores_gemma":[0.9989546,0.000044047785,0.00008039131,0.0006518817,0.000010076596,0.0002590212],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040210068,0.00039981757,0.00042729735,0.00010802304,0.0003668944,0.00025266828,0.0005447126,0.00013314337,0.0042576264],"category_scores_gemma":[0.000019971836,0.00025045293,0.00016678282,0.00040967859,0.000045937155,0.0001269851,0.0034706716,0.0003879227,0.000094386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060917786,0.0011341866,0.051397976,0.00074192416,0.00094084867,0.00089374353,0.009645323,0.87603414,0.000102326936,0.0056991964,0.0117042875,0.041096855],"study_design_scores_gemma":[0.0017999723,0.0017009147,0.13058423,0.0002142442,0.00084358983,0.00003309772,0.82489973,0.01747526,0.00046189173,0.006066484,0.012600656,0.0033199373],"about_ca_topic_score_codex":0.009662947,"about_ca_topic_score_gemma":0.0050855256,"teacher_disagreement_score":0.8585589,"about_ca_system_score_codex":0.0004954196,"about_ca_system_score_gemma":0.000012439194,"threshold_uncertainty_score":0.99999475},"labels":[],"label_agreement":null},{"id":"W4214661375","doi":"10.1155/2022/7506189","title":"Evaluation of Soil Quality for Different Types of Land Use Based on Minimum Dataset in the Typical Desert Steppe in Ningxia, China","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":11,"is_retracted":true,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shrubland; Environmental science; Grassland; Soil quality; Steppe; Arable land; Desertification; Soil test; Afforestation; Shrub; Soil science; Soil carbon; Forestry; Ecosystem; Agroforestry; Agronomy; Soil water; Geography; Ecology; Agriculture","score_opus":0.03786157063101801,"score_gpt":0.3154786645321522,"score_spread":0.27761709390113415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214661375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914676,0.000015486758,0.0002812189,0.00016881616,0.00002855487,0.00013503306,0.00021753802,5.23979e-7,0.0000060428424],"genre_scores_gemma":[0.9995075,0.0000045378965,0.00020499498,0.000029102684,0.0000042587167,0.000012195698,0.00023416441,0.000002226799,0.0000010486075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985223,0.00027739367,0.0004226427,0.00007945802,0.0006368701,0.00006133244],"domain_scores_gemma":[0.9993582,0.00025590495,0.00025079062,0.00009695949,0.000023881057,0.000014313426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954311,0.00004794272,0.0001574144,0.000058287485,0.000026649475,0.0000026496868,0.00010214782,0.0000158776,0.00012786312],"category_scores_gemma":[0.00013250652,0.00003207535,0.00006240822,0.00017250041,0.000024851022,0.00012456039,0.0000022051875,0.0000968539,9.669335e-8],"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":[0.00074319245,0.00029693285,0.3654032,0.000010636975,0.000005938673,5.900699e-7,0.0009309758,0.6293344,0.00054646545,0.0000049820433,0.0000079931915,0.0027146721],"study_design_scores_gemma":[0.0014017948,0.00026916803,0.98182553,0.000012277499,0.000067257664,1.9291635e-7,0.00053778716,0.015011125,0.00023112659,0.000578758,0.000030141979,0.000034866225],"about_ca_topic_score_codex":0.00025564036,"about_ca_topic_score_gemma":0.005729334,"teacher_disagreement_score":0.6164223,"about_ca_system_score_codex":0.00007722377,"about_ca_system_score_gemma":0.000019994852,"threshold_uncertainty_score":0.31971028},"labels":[],"label_agreement":null},{"id":"W4214766164","doi":"10.1002/cjs.11626","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Canadian Journal of Statistics","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Citation; Library science; Object (grammar); World Wide Web; Artificial intelligence","score_opus":0.00740001517340105,"score_gpt":0.20128559264194187,"score_spread":0.19388557746854082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214766164","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003025616,0.0015267017,0.023903651,0.0018948846,0.017110473,0.0003195744,0.017747208,0.0000062358317,0.93446565],"genre_scores_gemma":[0.066690795,0.0020948627,0.025176656,0.009937667,0.002674583,0.000026509484,0.0064582736,0.00014335838,0.8867973],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988981,0.00005910136,0.00044088403,0.0000651193,0.0003259469,0.00021088446],"domain_scores_gemma":[0.9989587,0.00006373518,0.00036227365,0.00013369785,0.000040472572,0.00044109733],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002745131,0.00011352391,0.00024203799,0.00016944927,0.00019369707,0.000074984404,0.00031738635,0.00008139758,0.4655212],"category_scores_gemma":[0.00015397758,0.00010456955,0.00007455517,0.00020426513,0.00010980136,0.00020252152,0.000026220798,0.00041964633,0.012188974],"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":[0.000002755767,0.0000031198972,0.0008882376,0.000014939931,0.000028110187,0.000029692648,0.0005314473,0.0039010958,1.2950254e-7,0.000023775323,0.975163,0.019413713],"study_design_scores_gemma":[0.00008253741,0.000060391376,0.0011756287,0.000007058313,0.000059451962,0.000028538312,0.00028301182,0.00013542901,6.7850107e-7,0.00021545986,0.9978329,0.000118891534],"about_ca_topic_score_codex":0.03533232,"about_ca_topic_score_gemma":0.039175663,"teacher_disagreement_score":0.45333222,"about_ca_system_score_codex":0.0006285783,"about_ca_system_score_gemma":0.000589708,"threshold_uncertainty_score":0.98858017},"labels":[],"label_agreement":null},{"id":"W4224669749","doi":"10.18280/ijsdp.170222","title":"Land Suitability Analysis for Tropical Fruit Commodities as a Conservation Effort in Highlands Area, Indonesia","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Hectare; Geography; Land use; Pairwise comparison; Elevation (ballistics); Agroforestry; Environmental science; Forestry; Mathematics; Statistics; Agriculture; Civil engineering; Engineering","score_opus":0.015557062228920424,"score_gpt":0.24687216546914525,"score_spread":0.23131510324022483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224669749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767756,0.000060068814,0.0011440096,0.00068667077,0.00008089987,0.0000889026,0.0000042955544,0.000004237759,0.0002533397],"genre_scores_gemma":[0.9989521,0.00000401047,0.00043839772,0.00018721892,0.000027333968,0.000027979337,0.000049564795,0.0000032609994,0.00031014901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987704,0.000048825124,0.00041394774,0.00013907603,0.00045149948,0.00017626215],"domain_scores_gemma":[0.9994146,0.00021788366,0.00017626531,0.00004998513,0.00008783096,0.000053432406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008683278,0.00008609266,0.00022346566,0.00032568577,0.000199816,0.000060022816,0.00020753997,0.000029237668,0.00041397463],"category_scores_gemma":[0.00010080911,0.00007551145,0.00008259949,0.00034133936,0.0000412515,0.00022465219,0.00015395721,0.00014483169,4.7366063e-7],"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":[0.0003533468,0.00007234545,0.97998315,0.0000075389244,0.00024047417,0.00018239487,0.00463774,0.013606543,0.0000026575215,0.00014156733,0.0001944967,0.00057776755],"study_design_scores_gemma":[0.00075672194,0.00005989199,0.97203743,0.0000058300266,0.00005729459,0.000023584535,0.013789005,0.0024066404,0.000021301625,0.0015204052,0.00922299,0.00009887396],"about_ca_topic_score_codex":0.0005252858,"about_ca_topic_score_gemma":0.00019043185,"teacher_disagreement_score":0.011199903,"about_ca_system_score_codex":0.00043701113,"about_ca_system_score_gemma":0.00007838316,"threshold_uncertainty_score":0.4532732},"labels":[],"label_agreement":null},{"id":"W4230056332","doi":"10.3410/f.5544956.5511054","title":"Faculty Opinions recommendation of Spatial characterization of landscape functions.","year":2010,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Characterization (materials science); Geography; Computer science; Data science; Materials science; Nanotechnology","score_opus":0.015136857549453184,"score_gpt":0.29168514179362415,"score_spread":0.27654828424417094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230056332","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003179257,0.00006389939,0.000092643604,0.061140932,0.0006475945,0.00062846974,0.93727034,0.000017690489,0.00010665762],"genre_scores_gemma":[0.00012146942,0.00012815838,0.00014415462,0.0010072954,0.00017602835,0.000098108205,0.9976013,0.000013303394,0.0007102267],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961912,0.0003389543,0.001424929,0.0005306897,0.0012803671,0.00023382722],"domain_scores_gemma":[0.99562645,0.00009874281,0.0015550352,0.0012113638,0.0013242428,0.0001841494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012095135,0.00034713504,0.0007784854,0.00020533231,0.00018449106,0.00005132902,0.0010706272,0.000638499,0.005995175],"category_scores_gemma":[0.0031124046,0.00021967992,0.0005785085,0.0017410415,0.00042725363,0.00032322938,0.00043966068,0.00077159324,0.00009255329],"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":[0.000012332967,0.00038982637,0.00036704863,0.0016999862,0.000075393946,4.372996e-8,0.000075509524,3.0622377e-7,0.00003233124,0.0000103546345,0.99187386,0.0054630153],"study_design_scores_gemma":[0.00031350495,0.00007310036,0.038423393,0.0012632412,0.00021486235,0.0000064310775,0.000016167718,0.000037505182,0.000033721983,0.000009429459,0.9594059,0.00020275525],"about_ca_topic_score_codex":0.000535091,"about_ca_topic_score_gemma":0.00012145851,"teacher_disagreement_score":0.060330935,"about_ca_system_score_codex":0.00006020439,"about_ca_system_score_gemma":0.00013566544,"threshold_uncertainty_score":0.99491346},"labels":[],"label_agreement":null},{"id":"W4230534613","doi":"10.32920/14668854","title":"Using GIS towards the Characterization and Soil Mapping of the Caia Irrigation Perimeter","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","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":"Toronto Metropolitan University","funders":"","keywords":"Soil map; Irrigation; Environmental science; Digital soil mapping; Geographic information system; Soil water; Soil classification; Hydrology (agriculture); Geography; Soil science; Geology; Cartography; Geotechnical engineering; Agronomy","score_opus":0.0420334794605943,"score_gpt":0.2397502474565948,"score_spread":0.1977167679960005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230534613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932878,0.000023610954,0.0039307093,0.0006680096,0.000114493516,0.00011094643,0.0000062782256,0.0000067864376,0.0018513562],"genre_scores_gemma":[0.99902153,0.00001599004,0.0003502217,0.00015702118,0.000024155646,0.000005583611,0.000024503644,0.000004734496,0.00039624717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911845,0.0001318983,0.00019547973,0.00023781433,0.00022945198,0.00008691492],"domain_scores_gemma":[0.9994708,0.000020125446,0.00012458327,0.0003512988,0.0000136129765,0.000019633633],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002971309,0.000099290155,0.00014878566,0.0000136601375,0.00014004843,0.00007580314,0.00017442962,0.000090334834,0.0011149938],"category_scores_gemma":[0.000037263166,0.000051104234,0.000110916924,0.00015615957,0.00016480219,0.00007749546,0.00077154743,0.00014138057,0.0000016723814],"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":[0.000008375768,0.00009181145,0.6585652,0.00018395242,0.0001924786,0.0000010294873,0.017641708,0.012719298,0.24443388,0.000054034917,0.000019559433,0.06608864],"study_design_scores_gemma":[0.000043146658,0.000002604615,0.9278917,0.00003673433,0.00007804433,0.000002127633,0.0007484513,0.06391514,0.00676057,0.0002508057,0.00016175034,0.000108936154],"about_ca_topic_score_codex":0.0059774215,"about_ca_topic_score_gemma":0.0005229922,"teacher_disagreement_score":0.26932645,"about_ca_system_score_codex":0.000060518487,"about_ca_system_score_gemma":0.00002192952,"threshold_uncertainty_score":0.9997981},"labels":[],"label_agreement":null},{"id":"W4232416335","doi":"10.1007/978-1-4020-3995-9_531","title":"Soil","year":2007,"lang":"en","type":"book-chapter","venue":"Encyclopedia of earth sciences series/Encyclopedia of earth sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Geology","score_opus":0.019396046754033846,"score_gpt":0.23882356755279172,"score_spread":0.21942752079875788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232416335","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052865367,0.0010240634,0.00004902854,0.0002745632,0.0011903811,0.0005361568,0.00010867615,0.00008952754,0.94386226],"genre_scores_gemma":[0.03576997,0.021729348,0.014332692,0.00036148852,0.00085003435,0.000030187788,0.00005026911,0.00010788063,0.9267681],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98988587,0.00013106658,0.0022466397,0.0021428645,0.0041012317,0.001492359],"domain_scores_gemma":[0.9957073,0.00073284004,0.0016913014,0.0011143569,0.00017182439,0.0005823805],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004364644,0.001053592,0.0016896458,0.0008280847,0.0010543591,0.00012052042,0.0029373276,0.0006542558,0.02152509],"category_scores_gemma":[0.00048208918,0.0008587054,0.00080314226,0.0018919868,0.014409394,0.0017934315,0.0009957447,0.0007259228,0.00070445694],"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":[0.000545148,0.001299048,0.7268429,0.0010093546,0.0005800579,0.00026059654,0.008585403,0.018508026,0.0006274647,0.1057645,0.009598492,0.12637901],"study_design_scores_gemma":[0.0005977678,0.002619949,0.04810313,0.00039591824,0.00033832388,0.000060905466,0.0009246908,0.00046780493,0.00054122077,0.027524402,0.91611344,0.0023124414],"about_ca_topic_score_codex":0.0014300231,"about_ca_topic_score_gemma":0.014111132,"teacher_disagreement_score":0.90651494,"about_ca_system_score_codex":0.000020477379,"about_ca_system_score_gemma":0.00072909694,"threshold_uncertainty_score":0.99938637},"labels":[],"label_agreement":null},{"id":"W4238115220","doi":"10.1002/joc.6146","title":"Issue Information","year":2020,"lang":"en","type":"paratext","venue":"International Journal of Climatology","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Citation; Library science; Information retrieval","score_opus":0.008210661916756611,"score_gpt":0.26943937355704,"score_spread":0.2612287116402834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238115220","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021428946,0.0005901148,0.0041501313,0.046902627,0.028472401,0.0001601899,0.00020586755,0.00001841795,0.8980713],"genre_scores_gemma":[0.8812065,0.007973995,0.004826529,0.036455423,0.008010728,0.000022428014,0.0015358194,0.00009056154,0.05987801],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836874,0.000076173244,0.0007533973,0.00009766169,0.00057648745,0.00012752332],"domain_scores_gemma":[0.99880636,0.00009944663,0.0007950925,0.000093076866,0.00011225665,0.000093751034],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019089264,0.00013144112,0.00038858486,0.00013033854,0.000026240443,0.000052724306,0.00074040337,0.00018977988,0.06480259],"category_scores_gemma":[0.00019792646,0.00010500833,0.00024882553,0.000100617945,0.00010483451,0.00044504367,0.00018442691,0.00038139228,0.045955878],"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":[0.00012309296,0.00004426046,0.0059622657,0.000013930906,0.00026611597,0.00004388179,0.0004571444,0.0010184607,0.000013019127,0.000043251723,0.97811043,0.0139041385],"study_design_scores_gemma":[0.00029127623,0.00006010613,0.00073824805,0.00001724328,0.000045059547,0.0002435373,0.00009512418,0.00021813282,0.000043917622,0.00023039046,0.99791694,0.00010001937],"about_ca_topic_score_codex":0.00007772755,"about_ca_topic_score_gemma":0.000017671453,"teacher_disagreement_score":0.85977757,"about_ca_system_score_codex":0.00013482793,"about_ca_system_score_gemma":0.000045357243,"threshold_uncertainty_score":0.95478696},"labels":[],"label_agreement":null},{"id":"W4241303754","doi":"10.5400/jts.2013.v18i2.141-148","title":"Soil Erosion Prediction Using GIS and Remote Sensing on Manjunto Watershed Bengkulu, Indonesia","year":2013,"lang":"en","type":"article","venue":"Journal of Tropical Soils","topic":"Soil and Land Suitability Analysis","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":"Fakultas Teknik Universitas Indonesia; Universitas Indonesia","keywords":"Watershed; Erosion; Environmental science; Hydrology (agriculture); Digital elevation model; Soil conservation; Surface runoff; Normalized Difference Vegetation Index; Remote sensing; Geology; Geography; Climate change; Agriculture","score_opus":0.012849259191441085,"score_gpt":0.21831770870349726,"score_spread":0.20546844951205617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241303754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968147,0.000016591031,0.002027402,0.0008364753,0.00009568293,0.00005418551,6.610356e-7,0.000008113069,0.00014617578],"genre_scores_gemma":[0.99761534,0.000031298983,0.0020085545,0.00016080463,0.0001365126,7.4865405e-8,6.300587e-7,0.0000066941216,0.000040093917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881977,0.00010285125,0.00035931182,0.00015481024,0.00037149646,0.00019178334],"domain_scores_gemma":[0.9994905,0.000054117616,0.00014336809,0.00011920711,0.000022190594,0.00017064328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017105899,0.000107842665,0.00022324223,0.000054093387,0.0001353569,0.00006680835,0.00008087842,0.000089357134,0.0002905066],"category_scores_gemma":[0.00005114651,0.000071236194,0.00011058395,0.00011373496,0.000094679934,0.00028675827,0.000055513585,0.0002146845,0.00003412183],"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":[0.0002188267,0.00015585887,0.71932584,0.000028111035,0.00009036109,0.000045315184,0.0006868419,0.007638825,0.077234976,0.0000064144374,0.0005474039,0.19402125],"study_design_scores_gemma":[0.0005481394,0.00025986563,0.9320532,0.000049583945,0.00007531641,0.00008185676,0.00010928719,0.062130135,0.0033623108,0.0010999483,0.00011981788,0.00011053929],"about_ca_topic_score_codex":0.0009986297,"about_ca_topic_score_gemma":0.000053178584,"teacher_disagreement_score":0.21272738,"about_ca_system_score_codex":0.00014061357,"about_ca_system_score_gemma":0.0000052959826,"threshold_uncertainty_score":0.31808436},"labels":[],"label_agreement":null},{"id":"W4244800888","doi":"10.32920/ryerson.14667972","title":"Modeling photovoltaic solar farm site suitability using a multi-criteria evaluation in Southern Ontario, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Photovoltaic system; Solar energy; Solar irradiance; Land cover; Geography; Solar Resource; Environmental science; Solar power; Scale (ratio); Land use; Environmental resource management; Meteorology; Engineering; Cartography; Civil engineering; Power (physics)","score_opus":0.04735551163763902,"score_gpt":0.2715813907268087,"score_spread":0.2242258790891697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244800888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953675,0.00007979033,0.0033886698,0.000027628039,0.00021592555,0.00049345836,0.000040703424,0.000022000317,0.00036429215],"genre_scores_gemma":[0.9953906,0.0000027831145,0.003823804,0.00012473225,0.000019954885,0.00005380261,0.00022556604,0.000018926748,0.0003398547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964291,0.00041771718,0.00066397194,0.001105682,0.0009259453,0.0004576176],"domain_scores_gemma":[0.9988432,0.000044335233,0.00009860933,0.00080585346,0.00006694143,0.00014107002],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018808785,0.00035146368,0.00053548976,0.00005815862,0.00014056602,0.00014033244,0.00030551507,0.0002650789,0.017043129],"category_scores_gemma":[0.00016035094,0.00033220235,0.00021054789,0.00025125025,0.000056243032,0.00011330102,0.0009703742,0.00063566933,0.000014590944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009297603,0.00010369988,0.45508325,0.00002474281,0.000023619967,0.00000731471,0.0059869243,0.53653735,0.0014089615,2.2826724e-8,0.0000020016962,0.0008128135],"study_design_scores_gemma":[0.00033110604,0.0000034654688,0.04821076,0.000037358648,0.000120796605,0.0000015220297,0.0041542817,0.94658655,0.0000751089,0.00008842015,0.000012265338,0.00037838836],"about_ca_topic_score_codex":0.9998822,"about_ca_topic_score_gemma":0.999989,"teacher_disagreement_score":0.41004917,"about_ca_system_score_codex":0.006192495,"about_ca_system_score_gemma":0.0013107634,"threshold_uncertainty_score":0.999913},"labels":[],"label_agreement":null},{"id":"W4246783048","doi":"10.32920/14668854.v1","title":"Using GIS towards the Characterization and Soil Mapping of the Caia Irrigation Perimeter","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","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":"Toronto Metropolitan University","funders":"","keywords":"Soil map; Irrigation; Environmental science; Digital soil mapping; Geographic information system; Soil water; Soil classification; Soil survey; Hydrology (agriculture); Geography; Soil science; Geology; Cartography; Geotechnical engineering; Agronomy","score_opus":0.0420334794605943,"score_gpt":0.2397502474565948,"score_spread":0.1977167679960005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246783048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932878,0.000023610954,0.0039307093,0.0006680096,0.000114493516,0.00011094643,0.0000062782256,0.0000067864376,0.0018513562],"genre_scores_gemma":[0.99902153,0.00001599004,0.0003502217,0.00015702118,0.000024155646,0.000005583611,0.000024503644,0.000004734496,0.00039624717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911845,0.0001318983,0.00019547973,0.00023781433,0.00022945198,0.00008691492],"domain_scores_gemma":[0.9994708,0.000020125446,0.00012458327,0.0003512988,0.0000136129765,0.000019633633],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002971309,0.000099290155,0.00014878566,0.0000136601375,0.00014004843,0.00007580314,0.00017442962,0.000090334834,0.0011149938],"category_scores_gemma":[0.000037263166,0.000051104234,0.000110916924,0.00015615957,0.00016480219,0.00007749546,0.00077154743,0.00014138057,0.0000016723814],"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":[0.000008375768,0.00009181145,0.6585652,0.00018395242,0.0001924786,0.0000010294873,0.017641708,0.012719298,0.24443388,0.000054034917,0.000019559433,0.06608864],"study_design_scores_gemma":[0.000043146658,0.000002604615,0.9278917,0.00003673433,0.00007804433,0.000002127633,0.0007484513,0.06391514,0.00676057,0.0002508057,0.00016175034,0.000108936154],"about_ca_topic_score_codex":0.0059774215,"about_ca_topic_score_gemma":0.0005229922,"teacher_disagreement_score":0.26932645,"about_ca_system_score_codex":0.000060518487,"about_ca_system_score_gemma":0.00002192952,"threshold_uncertainty_score":0.9997981},"labels":[],"label_agreement":null},{"id":"W4252856905","doi":"10.32920/ryerson.14667972.v1","title":"Modeling photovoltaic solar farm site suitability using a multi-criteria evaluation in Southern Ontario, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"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":"Photovoltaic system; Solar irradiance; Solar energy; Land cover; Solar Resource; Geography; Solar power; Environmental science; Scale (ratio); Land use; Environmental resource management; Meteorology; Engineering; Cartography; Civil engineering; Power (physics)","score_opus":0.04735551163763902,"score_gpt":0.2715813907268087,"score_spread":0.2242258790891697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252856905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953675,0.00007979033,0.0033886698,0.000027628039,0.00021592555,0.00049345836,0.000040703424,0.000022000317,0.00036429215],"genre_scores_gemma":[0.9953906,0.0000027831145,0.003823804,0.00012473225,0.000019954885,0.00005380261,0.00022556604,0.000018926748,0.0003398547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964291,0.00041771718,0.00066397194,0.001105682,0.0009259453,0.0004576176],"domain_scores_gemma":[0.9988432,0.000044335233,0.00009860933,0.00080585346,0.00006694143,0.00014107002],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018808785,0.00035146368,0.00053548976,0.00005815862,0.00014056602,0.00014033244,0.00030551507,0.0002650789,0.017043129],"category_scores_gemma":[0.00016035094,0.00033220235,0.00021054789,0.00025125025,0.000056243032,0.00011330102,0.0009703742,0.00063566933,0.000014590944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009297603,0.00010369988,0.45508325,0.00002474281,0.000023619967,0.00000731471,0.0059869243,0.53653735,0.0014089615,2.2826724e-8,0.0000020016962,0.0008128135],"study_design_scores_gemma":[0.00033110604,0.0000034654688,0.04821076,0.000037358648,0.000120796605,0.0000015220297,0.0041542817,0.94658655,0.0000751089,0.00008842015,0.000012265338,0.00037838836],"about_ca_topic_score_codex":0.9998822,"about_ca_topic_score_gemma":0.999989,"teacher_disagreement_score":0.41004917,"about_ca_system_score_codex":0.006192495,"about_ca_system_score_gemma":0.0013107634,"threshold_uncertainty_score":0.999913},"labels":[],"label_agreement":null},{"id":"W4253529012","doi":"10.3410/f.1081014.533974","title":"Faculty Opinions recommendation of Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value transfer.","year":2007,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Value (mathematics); Ecosystem services; Ecosystem; Computer science; Environmental resource management; Data science; Knowledge management; Business; Environmental science; Ecology; Biology","score_opus":0.06954472458539807,"score_gpt":0.3365721553339839,"score_spread":0.2670274307485858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253529012","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029677038,0.002494143,0.000020638425,0.13913712,0.00013529054,0.00054355053,0.8575122,0.000013416265,0.00011397935],"genre_scores_gemma":[0.00012934943,0.0071774996,0.00034003446,0.0017751376,0.00006745108,0.000063353975,0.99036324,0.000011126384,0.00007281303],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99643874,0.00054576586,0.0012303495,0.0005822407,0.00092811574,0.00027479624],"domain_scores_gemma":[0.9979663,0.00028634464,0.00047676623,0.0006250438,0.0004169958,0.00022854823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029280279,0.00034264667,0.00077884266,0.0002497756,0.00015516368,0.00008116727,0.000530467,0.00053913676,0.00023434192],"category_scores_gemma":[0.0008849268,0.00022550608,0.00022114665,0.0007420096,0.00030412237,0.00043915064,0.00037489863,0.0006834816,0.0000068160034],"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":[0.000012442527,0.00031044453,0.00011055543,0.01764951,0.00011176268,0.0000010917837,0.0016278098,3.9035186e-7,6.885102e-7,0.0003580707,0.9602237,0.019593567],"study_design_scores_gemma":[0.0003198777,0.000053125033,0.0069981935,0.008009719,0.0001183752,0.000037863356,0.00057467713,0.00007551421,0.0000012935587,0.00004691918,0.9835417,0.0002226994],"about_ca_topic_score_codex":0.00022731678,"about_ca_topic_score_gemma":0.00028997342,"teacher_disagreement_score":0.13736199,"about_ca_system_score_codex":0.00009327381,"about_ca_system_score_gemma":0.000081715225,"threshold_uncertainty_score":0.91958714},"labels":[],"label_agreement":null},{"id":"W4254882472","doi":"10.1093/oso/9780190885816.003.0011","title":"Monitoring and Evaluation","year":2019,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Audit; Environmental resource management; Environmental monitoring; Environmental planning; European union; Geography; Geomatics; Monitoring and evaluation; Geographic information system; Environmental protection; Cartography; Business; Environmental science; Political science; Environmental engineering; Accounting","score_opus":0.02483944173270026,"score_gpt":0.20939085493488385,"score_spread":0.1845514132021836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254882472","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01626267,0.000049021764,0.000010305348,0.000007708407,0.000069199734,0.00017489264,0.000009068086,0.000022277447,0.98339486],"genre_scores_gemma":[0.029195713,0.00015642194,0.000058142312,0.0000062712224,0.00003017247,2.8201617e-7,0.0000062069566,0.0000100164725,0.97053677],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916345,0.000023394285,0.00007495982,0.000310128,0.0003126477,0.00011542191],"domain_scores_gemma":[0.9995659,0.000034147553,0.00006860105,0.00025294995,0.0000133031745,0.000065125176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015523285,0.00014005661,0.00016386721,0.000034323995,0.00010627994,0.00001963807,0.00015250291,0.00016318493,0.0004467126],"category_scores_gemma":[0.000003818722,0.00014489212,0.00007898276,0.0000044377903,0.00011048319,0.00007687604,0.00027490137,0.00014668833,0.000008064058],"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":[0.00026771057,0.000046907317,0.042274542,0.00018087862,0.0006657873,0.00007114687,0.0021221226,0.0013025994,0.00017407924,0.09862556,0.0017244688,0.8525442],"study_design_scores_gemma":[0.00024223288,0.000021260603,0.0023649607,0.000030096016,0.0002825599,0.0000012346605,0.000041238036,0.00062962517,0.000030014162,0.0005484687,0.9956067,0.0002015773],"about_ca_topic_score_codex":0.00019430871,"about_ca_topic_score_gemma":0.000038077476,"teacher_disagreement_score":0.99388224,"about_ca_system_score_codex":0.00017639884,"about_ca_system_score_gemma":0.000013508159,"threshold_uncertainty_score":0.5908529},"labels":[],"label_agreement":null},{"id":"W4283034908","doi":"10.21203/rs.3.rs-1733563/v1","title":"Agricultural Land Suitability Assessment towards Promoting Community Crop Production in Tolon-Ghana","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"University of Saskatchewan; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Agriculture; Sustainability; Environmental science; Agroforestry; Soil fertility; Sustainable land management; Production (economics); Nutrient management; Crop yield; Agricultural science; Agricultural engineering; Land management; Business; Geography; Agronomy; Soil water; Engineering; Economics","score_opus":0.06945400996275929,"score_gpt":0.3870515768271486,"score_spread":0.3175975668643893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283034908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98789257,0.000082584564,0.0000034747022,0.0024143138,0.00016886347,0.0012436842,0.000057740006,0.00006363229,0.008073156],"genre_scores_gemma":[0.9981973,0.00004157541,0.00014621785,0.000010099743,0.00008841278,0.00060674554,0.00035796568,0.000015495007,0.0005361544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99034506,0.0055405907,0.0005029161,0.0008842007,0.0019530749,0.00077413605],"domain_scores_gemma":[0.99795914,0.00040429705,0.00011525321,0.0012425287,0.00010011411,0.00017864116],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012478083,0.000270763,0.0004637026,0.00017434385,0.0010869794,0.00017966538,0.0009788129,0.00021771956,0.004510342],"category_scores_gemma":[0.0016853027,0.00021179147,0.0002169727,0.0012250561,0.00037808882,0.00019736074,0.005526742,0.004947119,0.000043074047],"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":[0.000027817468,0.000950878,0.97332996,0.0005185769,0.000029076362,0.000011208819,0.0054918136,0.008351778,0.00011866891,0.0000043498594,0.00029018754,0.010875699],"study_design_scores_gemma":[0.00015397368,0.00013797474,0.98959213,0.00008218738,0.0000136872595,0.000002210876,0.0068245293,0.0012343928,0.00010945735,0.0011106653,0.00048122738,0.00025755411],"about_ca_topic_score_codex":0.07702845,"about_ca_topic_score_gemma":0.03713548,"teacher_disagreement_score":0.039892968,"about_ca_system_score_codex":0.003049813,"about_ca_system_score_gemma":0.00017507341,"threshold_uncertainty_score":0.9973485},"labels":[],"label_agreement":null},{"id":"W4285465016","doi":"10.32920/ryerson.14638212","title":"The Spatial Dimensions of Multi-Criteria Evaluation : Case Study of a Home Buyer’s Spatial Decision Support System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decision support system; Real estate; Spatial decision support system; Spatial relationship; Spatial analysis; Computer science; Spatial distribution; Operations research; Data mining; Statistics; Artificial intelligence; Business; Mathematics","score_opus":0.03914427746803859,"score_gpt":0.31602353988763554,"score_spread":0.2768792624195969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285465016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99358296,0.00004347743,0.0046038534,0.00001860533,0.00053611107,0.0009665357,0.000028826216,0.000018521987,0.00020110799],"genre_scores_gemma":[0.9991356,0.000011747531,0.00062051794,0.000005971276,0.000028168328,0.00009768525,0.000035835943,0.0000116519905,0.00005278557],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99628854,0.000724606,0.00097126554,0.0006144545,0.001202055,0.0001990579],"domain_scores_gemma":[0.99786,0.00037484887,0.00038062865,0.0011441231,0.00014853716,0.00009185835],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024293559,0.00023160083,0.0005693973,0.000062134925,0.00022377764,0.00005575168,0.00034288314,0.00016784361,0.0023988707],"category_scores_gemma":[0.0002467271,0.00013194773,0.00026389258,0.00020803732,0.0001323002,0.00006142179,0.0014774079,0.00021308754,0.00001530918],"study_design_candidate":"simulation_or_modeling","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":[0.00041007833,0.0064894482,0.5354367,0.00033953905,0.00091875537,0.00089185394,0.029609278,0.07306744,0.0014304337,0.000003868783,0.00028845502,0.35111415],"study_design_scores_gemma":[0.0021386745,0.0004401146,0.192827,0.00011379318,0.0013349623,0.0001606699,0.06731007,0.7348092,0.00036366953,0.000050675197,0.000033792196,0.00041734154],"about_ca_topic_score_codex":0.19021685,"about_ca_topic_score_gemma":0.22939476,"teacher_disagreement_score":0.6617418,"about_ca_system_score_codex":0.00023059764,"about_ca_system_score_gemma":0.00009535886,"threshold_uncertainty_score":0.99851304},"labels":[],"label_agreement":null},{"id":"W4290644217","doi":"10.21203/rs.3.rs-1733563/v2","title":"Agricultural Land Suitability Assessment towards Promoting Community Crop Production in Tolon-Ghana","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Agriculture; Sustainability; Agroforestry; Environmental science; Soil fertility; Sustainable land management; Production (economics); Agricultural productivity; Land use; Nutrient management; Agricultural science; Agricultural engineering; Land management; Business; Geography; Soil water; Engineering; Economics","score_opus":0.06945400996275929,"score_gpt":0.3870515768271486,"score_spread":0.3175975668643893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290644217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98789257,0.000082584564,0.0000034747022,0.0024143138,0.00016886347,0.0012436842,0.000057740006,0.00006363229,0.008073156],"genre_scores_gemma":[0.9981973,0.00004157541,0.00014621785,0.000010099743,0.00008841278,0.00060674554,0.00035796568,0.000015495007,0.0005361544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99034506,0.0055405907,0.0005029161,0.0008842007,0.0019530749,0.00077413605],"domain_scores_gemma":[0.99795914,0.00040429705,0.00011525321,0.0012425287,0.00010011411,0.00017864116],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012478083,0.000270763,0.0004637026,0.00017434385,0.0010869794,0.00017966538,0.0009788129,0.00021771956,0.004510342],"category_scores_gemma":[0.0016853027,0.00021179147,0.0002169727,0.0012250561,0.00037808882,0.00019736074,0.005526742,0.004947119,0.000043074047],"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":[0.000027817468,0.000950878,0.97332996,0.0005185769,0.000029076362,0.000011208819,0.0054918136,0.008351778,0.00011866891,0.0000043498594,0.00029018754,0.010875699],"study_design_scores_gemma":[0.00015397368,0.00013797474,0.98959213,0.00008218738,0.0000136872595,0.000002210876,0.0068245293,0.0012343928,0.00010945735,0.0011106653,0.00048122738,0.00025755411],"about_ca_topic_score_codex":0.07702845,"about_ca_topic_score_gemma":0.03713548,"teacher_disagreement_score":0.039892968,"about_ca_system_score_codex":0.003049813,"about_ca_system_score_gemma":0.00017507341,"threshold_uncertainty_score":0.9973485},"labels":[],"label_agreement":null},{"id":"W4292074775","doi":"10.1016/j.eiar.2022.106851","title":"A geospatial framework for the assessment and monitoring of environmental impacts of agriculture","year":2022,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Geospatial analysis; Agriculture; Environmental resource management; Environmental planning; Environmental impact assessment; Food security; Wetland; Watershed; Business; Environmental monitoring; Environmental science; Geography; Remote sensing; Computer science; Environmental engineering; Ecology","score_opus":0.011512316508181688,"score_gpt":0.315495696485927,"score_spread":0.3039833799777453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292074775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760561,0.02013297,0.0011251566,0.0004909495,0.00012079535,0.0014581692,0.00047936142,0.000011505927,0.00012501169],"genre_scores_gemma":[0.97630984,0.019676207,0.0034413915,0.0001268336,0.000039052557,0.0002819845,0.000066534136,0.000019503253,0.00003863727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975639,0.00024218486,0.0006039385,0.00038550966,0.0008594183,0.0003450564],"domain_scores_gemma":[0.99846613,0.00041849716,0.00047840472,0.0004923494,0.0000016851743,0.0001429546],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009920287,0.00029354155,0.00057803997,0.000027987748,0.00039319554,0.00001727939,0.0003956766,0.000054086722,0.006847421],"category_scores_gemma":[0.000022952405,0.00018431438,0.00044022212,0.00019125224,0.00026511378,0.00017555729,0.000623058,0.0003395721,0.0000037961056],"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":[0.000020009804,0.00060066616,0.96319145,0.00020241177,0.00022440922,0.000001480259,0.00028438267,0.0007077495,0.007702183,0.0000355113,0.00031534416,0.026714401],"study_design_scores_gemma":[0.00036510688,0.00053052884,0.9939841,0.00012719708,0.0004535706,0.000015451637,0.0010068346,0.00035193103,0.00028727064,0.00021352159,0.0024364193,0.00022806409],"about_ca_topic_score_codex":0.0002018783,"about_ca_topic_score_gemma":0.000005388344,"teacher_disagreement_score":0.030792654,"about_ca_system_score_codex":0.0007283295,"about_ca_system_score_gemma":0.000022977407,"threshold_uncertainty_score":0.99406046},"labels":[],"label_agreement":null},{"id":"W4293443156","doi":"","title":"Comparaison de diverses méthodes d'évaluation de la saturation et de la solubilité du phosphore dans les sols de Bretagne (France) à des fins agroenvironnementales","year":2007,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Soil and Land Suitability Analysis","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":"Institut de Recherche et de Développement en Agroenvironnement","funders":"","keywords":"Political science","score_opus":0.018519676389495393,"score_gpt":0.26390847520190497,"score_spread":0.24538879881240958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293443156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70333326,0.0012155332,0.2769652,0.0020726514,0.00005126518,0.00032054976,0.000074306816,0.000096541924,0.015870713],"genre_scores_gemma":[0.89783365,0.0045741196,0.094434105,0.00019319572,0.00003436882,0.0000819397,0.00042862433,0.000042388638,0.0023775955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9750959,0.021729574,0.00072439504,0.00095271465,0.00066545274,0.0008319092],"domain_scores_gemma":[0.9911356,0.0065386374,0.00050619035,0.001214796,0.00023473686,0.00037003853],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.025534278,0.0005229692,0.0005120266,0.00012992285,0.0013512018,0.0005948336,0.0011577267,0.00062548596,0.00126962],"category_scores_gemma":[0.0026873706,0.0005614748,0.00043302108,0.00046267986,0.0028022078,0.00036117443,0.0009024021,0.0008864658,0.000059747617],"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":[0.000037675494,0.0013353187,0.79488367,0.00014655145,0.000108703396,0.000010678616,0.07826592,0.014098844,0.02175973,0.01265397,0.00020394831,0.076494984],"study_design_scores_gemma":[0.00063273165,0.000002288056,0.840896,0.0006691538,0.0002446112,0.00004684413,0.002989224,0.09811028,0.043398798,0.0072391313,0.005262269,0.0005086913],"about_ca_topic_score_codex":0.04939575,"about_ca_topic_score_gemma":0.034147672,"teacher_disagreement_score":0.19450043,"about_ca_system_score_codex":0.0018290887,"about_ca_system_score_gemma":0.00037603296,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W4295192652","doi":"","title":"A procedure to analyze multiple Ecosystem Services in apple orchards","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Ecosystem; Computer science; Ecosystem services; Agricultural engineering; Environmental science; Ecology; Engineering; Biology","score_opus":0.010185383120872691,"score_gpt":0.21876606047703176,"score_spread":0.20858067735615907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295192652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96788824,0.00017630795,0.0039422866,0.0047864276,0.00008630289,0.0006632422,0.00018936179,0.00013594163,0.022131888],"genre_scores_gemma":[0.99000657,0.0000469861,0.006398912,0.00013215518,0.000016758555,0.00019999301,0.0004671639,0.000028798382,0.0027026734],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949412,0.002480449,0.0005505012,0.0010089509,0.0006093324,0.00040957754],"domain_scores_gemma":[0.9968732,0.00042903417,0.00026004176,0.0017483087,0.0003512611,0.00033817213],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006142237,0.0003224132,0.00048489968,0.00017469065,0.00016504311,0.00023285334,0.0014290882,0.00027350555,0.00050238974],"category_scores_gemma":[0.00075976766,0.00030764533,0.0001854396,0.00085909374,0.000085870146,0.00013767072,0.0023178163,0.00046136806,0.0003743682],"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":[0.000066341185,0.001563236,0.8760511,0.00084284047,0.00014747259,0.000014043692,0.07059928,0.019070031,0.0012022137,0.0006937048,0.0037604638,0.025989253],"study_design_scores_gemma":[0.0024156426,0.0000026015048,0.24570832,0.0043438366,0.00025706313,0.000019275747,0.0047238045,0.56715304,0.011361212,0.0060306075,0.15521051,0.0027740817],"about_ca_topic_score_codex":0.014570978,"about_ca_topic_score_gemma":0.25696063,"teacher_disagreement_score":0.6303428,"about_ca_system_score_codex":0.0004202379,"about_ca_system_score_gemma":0.00011583431,"threshold_uncertainty_score":0.9999376},"labels":[],"label_agreement":null},{"id":"W4295935452","doi":"10.48009/3_iis_2022_106","title":"UTILIZING DATA SCIENCE AND ANALYTICS IN PREDICTING CAMPUS PLACEMENT","year":2022,"lang":"en","type":"article","venue":"Issues in Information Systems","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Douglas College","funders":"","keywords":"Analytics; Data science; Data analysis; Computer science; Data mining","score_opus":0.02617059324450222,"score_gpt":0.27754350704645386,"score_spread":0.25137291380195165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295935452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838102,0.000104301784,0.000059937698,0.00012577545,0.00016303397,0.00019969915,0.000022838954,0.000017535718,0.015496667],"genre_scores_gemma":[0.99977165,0.000016726173,0.000051019957,0.000059802816,0.000007913673,0.000022653561,0.000026261889,0.0000013690122,0.000042616444],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985619,0.00005855967,0.0003819235,0.000155362,0.00067508145,0.0001671752],"domain_scores_gemma":[0.99949414,0.000044275283,0.00009402686,0.00032145748,0.000009814772,0.000036293135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003436063,0.000055434048,0.000107372034,0.00017352468,0.00021215691,0.00010203865,0.00037990254,0.000014972764,0.00011595293],"category_scores_gemma":[0.00021678566,0.00005196934,0.000006159575,0.0009479814,0.000105875544,0.0018129852,0.00086371,0.00010430587,0.000017097722],"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":[0.0000058233727,0.0000149845455,0.87561595,0.000020111269,0.0000021748397,0.0000011765848,0.00890691,0.112846136,0.000009211557,0.00007602399,0.00024690802,0.002254607],"study_design_scores_gemma":[0.00023304431,0.000018679151,0.06299729,0.0000137783645,0.0000038423427,0.000009362309,0.03618964,0.859006,0.0000058620462,0.000010742561,0.04142119,0.000090606794],"about_ca_topic_score_codex":0.0046962136,"about_ca_topic_score_gemma":0.00043954956,"teacher_disagreement_score":0.8126186,"about_ca_system_score_codex":0.00040414365,"about_ca_system_score_gemma":0.000022527156,"threshold_uncertainty_score":0.7099301},"labels":[],"label_agreement":null},{"id":"W4297021577","doi":"10.32920/ryerson.14638212.v2","title":"The Spatial Dimensions of Multi-Criteria Evaluation – Case Study of a Home Buyer’s Spatial Decision Support System","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Toronto Metropolitan University","funders":"","keywords":"Decision support system; Real estate; Spatial relationship; Spatial decision support system; Spatial analysis; Computer science; Operations research; Data mining; Statistics; Artificial intelligence; Mathematics; Business","score_opus":0.040991238966348036,"score_gpt":0.3229262435533136,"score_spread":0.2819350045869656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297021577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566025,0.000028690501,0.0018942766,0.000019393625,0.00063737604,0.0012968424,0.00007114232,0.000023552955,0.00036845886],"genre_scores_gemma":[0.99925894,0.000008417116,0.00033818395,0.0000065625068,0.000024659268,0.00021232381,0.000040664207,0.000013170064,0.00009709036],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99591476,0.0008557196,0.0009616124,0.00060094846,0.0014648065,0.00020214445],"domain_scores_gemma":[0.99784577,0.00041457696,0.00043678022,0.0011421776,0.000077410135,0.00008328793],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032449157,0.00022728906,0.00051928643,0.00008214884,0.00036939266,0.000032792657,0.00046101314,0.00011542892,0.007231692],"category_scores_gemma":[0.00018606594,0.00013216004,0.00024937716,0.0002208436,0.00012911654,0.000049195653,0.0022095633,0.0002653764,0.000018083465],"study_design_candidate":"simulation_or_modeling","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":[0.00065108686,0.006025748,0.5795162,0.00023602198,0.0007222619,0.0005328943,0.0225247,0.15913898,0.0004968344,0.000008824956,0.0006411266,0.22950533],"study_design_scores_gemma":[0.0024356723,0.0008201784,0.16302206,0.00004067308,0.0012796444,0.00012283541,0.057600595,0.773795,0.00008994565,0.00013427567,0.00020405478,0.00045505093],"about_ca_topic_score_codex":0.20222485,"about_ca_topic_score_gemma":0.117305174,"teacher_disagreement_score":0.61465603,"about_ca_system_score_codex":0.00035022915,"about_ca_system_score_gemma":0.00007638944,"threshold_uncertainty_score":0.9936758},"labels":[],"label_agreement":null},{"id":"W4297523341","doi":"10.5539/jms.v12n2p58","title":"Geoenvironmental Mapping for the Delimitation of Regulated Areas for Use and Occupation","year":2022,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Legislation; Sustainability; Natural resource; Geography; Plan (archaeology); Environmental planning; Resource (disambiguation); Work (physics); Environmental resource management; Natural (archaeology); Environmental protection; Political science; Archaeology; Environmental science; Ecology; Engineering; Law; Computer science","score_opus":0.015029534189340268,"score_gpt":0.22681179608163654,"score_spread":0.21178226189229626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297523341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98606694,0.00011182818,0.012457174,0.0008119969,0.000027987706,0.00050057593,0.000005394997,0.0000018002464,0.000016278418],"genre_scores_gemma":[0.99886453,0.000049959945,0.0008233373,0.00004833135,0.000008081623,0.000035107656,0.0000043811197,0.00000284872,0.00016339139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926007,0.000073694704,0.00027017796,0.00011212687,0.0001882675,0.00009566993],"domain_scores_gemma":[0.99935126,0.0003035738,0.00018807725,0.00009925841,0.00003167414,0.000026151863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014322704,0.000055646127,0.000114494316,0.00004236817,0.0002801676,0.000021667753,0.000077889985,0.000013984947,0.000047638816],"category_scores_gemma":[0.00012755202,0.000039380247,0.0000816136,0.00010061324,0.00010286151,0.00018907606,0.00012586573,0.00004839013,2.7987191e-8],"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":[0.0006094561,0.00015673893,0.88837767,0.00015377939,0.0001221885,0.0000011686365,0.0012339244,0.013440669,0.000011626168,0.00026119503,0.0006629864,0.09496862],"study_design_scores_gemma":[0.0006700497,0.00019730967,0.9475965,0.0000020077362,0.00015092561,0.0000027739845,0.013262188,0.02328226,0.0000080472355,0.0069831335,0.0077917743,0.000053057345],"about_ca_topic_score_codex":0.00006064964,"about_ca_topic_score_gemma":0.000015630456,"teacher_disagreement_score":0.09491556,"about_ca_system_score_codex":0.00017060834,"about_ca_system_score_gemma":0.000005605107,"threshold_uncertainty_score":0.21548508},"labels":[],"label_agreement":null},{"id":"W4299621455","doi":"10.21608/jpp.2003.243287","title":"ANALYTICAL STUDIES ON FLAX GENOTYPE qROWTH AND RESPONSE TO NITROGEN LEVEL AND BIOFERTILIZER UNDER SANDY SOIL CONDITION","year":2003,"lang":"en","type":"article","venue":"Journal of Plant Production","topic":"Soil and Land Suitability Analysis","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":"Environment and Climate Change Canada","funders":"","keywords":"Biofertilizer; Nitrogen; Agronomy; Genotype; Environmental science; Biology; Chemistry","score_opus":0.04436003557184935,"score_gpt":0.27985297192764375,"score_spread":0.23549293635579438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299621455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979897,0.00017067212,0.000042705477,0.0015186715,0.00013985507,0.0000568647,0.000007206061,0.0000038171183,0.000070492024],"genre_scores_gemma":[0.99932784,0.00008727177,0.00017039526,0.00012199622,0.000056843768,0.0000011484312,0.0000012888578,0.0000036153851,0.00022961645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907523,0.0001776224,0.00023302721,0.00017833684,0.00022988454,0.00010588029],"domain_scores_gemma":[0.99961287,0.00009197301,0.000089906884,0.00008262913,0.000028745912,0.00009390018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012041853,0.00008284515,0.00016896025,0.00009493699,0.000114160066,0.00002054257,0.00003167517,0.00003636296,0.000078445344],"category_scores_gemma":[0.0006423203,0.000056752124,0.000034045435,0.00015510384,0.000095214564,0.00014321273,0.000018324097,0.00010089926,0.0000139342355],"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":[0.016022388,0.0010043184,0.7123523,0.00009737759,0.001275586,0.00014585392,0.010045597,0.02203902,0.20697567,0.0009795916,0.020941935,0.0081203915],"study_design_scores_gemma":[0.0013857892,0.0017855116,0.9271933,0.000089188834,0.00052479166,0.0012781613,0.0054553435,0.0004316377,0.043487195,0.012611669,0.0052918964,0.00046553992],"about_ca_topic_score_codex":0.000015606083,"about_ca_topic_score_gemma":0.00006218051,"teacher_disagreement_score":0.21484101,"about_ca_system_score_codex":0.000100376354,"about_ca_system_score_gemma":0.00001364493,"threshold_uncertainty_score":0.23142844},"labels":[],"label_agreement":null},{"id":"W4302012052","doi":"10.32920/ryerson.14672007.v1","title":"Quantifying Ecosystem Services in an Agricultural Region in Southern Ontario Using a GIS-Based Approach and Open Source Data","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","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":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ecosystem services; Agriculture; Environmental science; Land use; Environmental resource management; Ecosystem; Nutrient management; Nutrient; Agricultural land; Baseline (sea); Geographic information system; Water resource management; Geography; Remote sensing; Ecology","score_opus":0.133436338968463,"score_gpt":0.29491898632265123,"score_spread":0.16148264735418824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302012052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778706,0.000032140593,0.00019534728,0.00006505541,0.000028582537,0.00052066986,0.00003378124,0.000022991446,0.0013143533],"genre_scores_gemma":[0.9968346,0.0000017803787,0.0019148289,0.00006746807,0.00001183358,0.00004010228,0.00075511954,0.000012419392,0.0003618789],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974564,0.00039199553,0.00040617152,0.0011837799,0.00029895705,0.00026273506],"domain_scores_gemma":[0.998691,0.000038487782,0.00016681326,0.0010165874,0.000004129282,0.00008293119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011203536,0.00024348038,0.0004624227,0.0000814238,0.00015293078,0.0003777031,0.0017774408,0.00015097391,0.0006659246],"category_scores_gemma":[0.0000058932733,0.00018148936,0.000047562407,0.00028436424,0.000035088004,0.00044796366,0.006676817,0.0005081571,0.000004982117],"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":[0.000024537996,0.00013384386,0.80286384,0.00009924637,0.000009730402,0.000005812804,0.009593642,0.18672436,0.000014051771,8.892649e-7,0.0000024371086,0.0005276177],"study_design_scores_gemma":[0.00040392307,0.000015182043,0.28639784,0.00007891244,0.000044771463,0.000005857189,0.04283714,0.6695754,0.0000012487593,0.00002500416,0.00023841998,0.0003762952],"about_ca_topic_score_codex":0.862742,"about_ca_topic_score_gemma":0.98321617,"teacher_disagreement_score":0.51646596,"about_ca_system_score_codex":0.0006536739,"about_ca_system_score_gemma":0.000051100506,"threshold_uncertainty_score":0.83221745},"labels":[],"label_agreement":null},{"id":"W4302012088","doi":"10.32920/ryerson.14672007","title":"Quantifying Ecosystem Services in an Agricultural Region in Southern Ontario Using a GIS-Based Approach and Open Source Data","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","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":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ecosystem services; Environmental science; Agriculture; Land use; Environmental resource management; Ecosystem; Nutrient management; Nutrient; Agricultural land; Geographic information system; Baseline (sea); Geography; Remote sensing; Ecology","score_opus":0.133436338968463,"score_gpt":0.29491898632265123,"score_spread":0.16148264735418824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302012088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778706,0.000032140593,0.00019534728,0.00006505541,0.000028582537,0.00052066986,0.00003378124,0.000022991446,0.0013143533],"genre_scores_gemma":[0.9968346,0.0000017803787,0.0019148289,0.00006746807,0.00001183358,0.00004010228,0.00075511954,0.000012419392,0.0003618789],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974564,0.00039199553,0.00040617152,0.0011837799,0.00029895705,0.00026273506],"domain_scores_gemma":[0.998691,0.000038487782,0.00016681326,0.0010165874,0.000004129282,0.00008293119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011203536,0.00024348038,0.0004624227,0.0000814238,0.00015293078,0.0003777031,0.0017774408,0.00015097391,0.0006659246],"category_scores_gemma":[0.0000058932733,0.00018148936,0.000047562407,0.00028436424,0.000035088004,0.00044796366,0.006676817,0.0005081571,0.000004982117],"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":[0.000024537996,0.00013384386,0.80286384,0.00009924637,0.000009730402,0.000005812804,0.009593642,0.18672436,0.000014051771,8.892649e-7,0.0000024371086,0.0005276177],"study_design_scores_gemma":[0.00040392307,0.000015182043,0.28639784,0.00007891244,0.000044771463,0.000005857189,0.04283714,0.6695754,0.0000012487593,0.00002500416,0.00023841998,0.0003762952],"about_ca_topic_score_codex":0.862742,"about_ca_topic_score_gemma":0.98321617,"teacher_disagreement_score":0.51646596,"about_ca_system_score_codex":0.0006536739,"about_ca_system_score_gemma":0.000051100506,"threshold_uncertainty_score":0.83221745},"labels":[],"label_agreement":null},{"id":"W4312920489","doi":"10.1130/abs/2022am-378001","title":"PRESENTING QUEBEC’S GEOMING DATABASE: A CASE STUDY IN THE UNGAVA OROGEN","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Computer science; Database","score_opus":0.02676354146286182,"score_gpt":0.26395209319574764,"score_spread":0.23718855173288583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312920489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787986,0.000035712488,0.000034477427,0.00083243166,0.000009262104,0.00066087075,0.000004139887,0.000032759417,0.00051048637],"genre_scores_gemma":[0.997095,0.0000045318197,0.0021031613,0.00042606748,0.000013672551,0.00024218688,0.00002569668,0.000006619338,0.00008308722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977325,0.00034923042,0.0003723637,0.00045277894,0.0006618554,0.0004312286],"domain_scores_gemma":[0.9990109,0.00029879797,0.0002190216,0.00039302118,0.000010336203,0.00006789941],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012722674,0.00016249254,0.00027472028,0.000011523107,0.00051318796,0.000037837883,0.0004594027,0.000037552472,0.0011511666],"category_scores_gemma":[0.000043000146,0.0000942254,0.00015828403,0.0008248878,0.0006233335,0.00013764501,0.0005512415,0.0004932966,0.000009440466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035819892,0.0025318093,0.92631096,0.0000102941785,0.00007942122,0.0007609783,0.019505449,0.010417267,0.00001724253,8.25165e-7,0.00026515312,0.040064756],"study_design_scores_gemma":[0.00091917266,0.0012778518,0.4980507,0.000005510093,0.00014509581,0.00048134662,0.48534364,0.004064706,0.000008442477,0.0000447415,0.009313658,0.0003451772],"about_ca_topic_score_codex":0.23271455,"about_ca_topic_score_gemma":0.013332648,"teacher_disagreement_score":0.46583816,"about_ca_system_score_codex":0.00008100563,"about_ca_system_score_gemma":0.000019663124,"threshold_uncertainty_score":0.99976194},"labels":[],"label_agreement":null},{"id":"W4313588415","doi":"10.3390/agronomy13010165","title":"Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions","year":2023,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Arid; Environmental science; Agriculture; Machine learning; Agricultural engineering; Phenology; Computer science; Engineering; Geography; Ecology","score_opus":0.02003636036767104,"score_gpt":0.26128408810235304,"score_spread":0.241247727734682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313588415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963837,0.000032976932,0.00024062583,0.00022960188,0.000015467696,0.000072332914,0.0000023035655,0.000026260046,0.0029967213],"genre_scores_gemma":[0.99934256,0.000027345186,0.0003467703,0.00001783162,0.0000073524807,0.0000076146675,0.000013065464,0.000004869509,0.0002325746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909544,0.0001010528,0.00021160564,0.00025891792,0.00013821978,0.00019475525],"domain_scores_gemma":[0.99955475,0.00015096585,0.000054673194,0.00017993717,0.0000042010242,0.000055492852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066215993,0.0000838527,0.0001814981,0.000055783155,0.00009636571,0.000013251874,0.000086179854,0.000039457984,0.0004166968],"category_scores_gemma":[0.000052238116,0.00007369812,0.000054762102,0.0004392908,0.00014705618,0.00012632346,0.0001907059,0.00013860942,0.000013503916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020235052,0.000035190795,0.97674626,0.000009431214,0.000008363129,0.0000018415135,0.00025511073,0.020912189,0.00045205833,0.000046022007,0.000017060323,0.0015144532],"study_design_scores_gemma":[0.00015249017,0.000014861792,0.89259636,0.000005968916,0.000015559977,0.0000010806214,0.00032604494,0.105532736,0.00008125957,0.0007119803,0.00048067764,0.00008096867],"about_ca_topic_score_codex":0.012869651,"about_ca_topic_score_gemma":0.0052100457,"teacher_disagreement_score":0.08462054,"about_ca_system_score_codex":0.000109439214,"about_ca_system_score_gemma":0.00001753523,"threshold_uncertainty_score":0.9937037},"labels":[],"label_agreement":null},{"id":"W4313589049","doi":"10.21203/rs.3.rs-2399044/v1","title":"Simultaneous multi-crop land suitability prediction from remote sensing data using semi-supervised learning","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"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 Guelph","funders":"Compute Canada","keywords":"Artificial neural network; Agriculture; Agricultural engineering; Canola; Machine learning; Environmental science; Computer science; Crop; Training set; Training (meteorology); Growing season; Artificial intelligence; Meteorology; Geography; Agronomy; Engineering; Forestry","score_opus":0.1633535607751487,"score_gpt":0.3851003264734767,"score_spread":0.221746765698328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313589049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855421,0.00019087305,0.011363898,0.00024934718,0.0002529349,0.0007241487,0.0011731439,0.00033401654,0.00016952868],"genre_scores_gemma":[0.9891234,0.00023752765,0.006313261,0.000012294835,0.00033991228,0.0000027652552,0.0032167148,0.00007813788,0.0006759576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921979,0.0020327782,0.0006201167,0.0021626097,0.0019961733,0.0009904755],"domain_scores_gemma":[0.9942542,0.002361994,0.00013157327,0.0027569404,0.0001497326,0.00034557146],"candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005163433,0.00038398826,0.0005850579,0.00019533926,0.0009162296,0.00036057556,0.0012274897,0.0005720593,0.0010326204],"category_scores_gemma":[0.0064929784,0.00035490238,0.00020701146,0.0008847487,0.0004775005,0.0002468702,0.00840082,0.0027829737,0.00051425496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092829854,0.00010828189,0.43642944,0.00027628028,0.00013599837,0.00017291051,0.0016007238,0.51015806,0.0012295763,5.669027e-8,0.00015978585,0.049636066],"study_design_scores_gemma":[0.0003344033,0.000035490724,0.04958217,0.00028717177,0.00007680509,0.000002958391,0.00096677395,0.947117,0.000046082347,0.0004437217,0.00079111336,0.00031634248],"about_ca_topic_score_codex":0.1652688,"about_ca_topic_score_gemma":0.020094205,"teacher_disagreement_score":0.4369589,"about_ca_system_score_codex":0.0010020006,"about_ca_system_score_gemma":0.00014593225,"threshold_uncertainty_score":0.99989027},"labels":[],"label_agreement":null},{"id":"W4313890146","doi":"10.1139/cjss-2022-0053","title":"Soil quality index under different land-use types: the case of Choke Mountain agroecosystems, upper Blue Nile Basin, Ethiopia","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Soil quality; Environmental science; Land use; Forestry; Hydrology (agriculture); Watershed; Soil series; Silt; Agroforestry; Soil classification; Geography; Soil water; Soil science; Geology; Ecology; Geomorphology","score_opus":0.023980092456495447,"score_gpt":0.2587652760095771,"score_spread":0.23478518355308164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313890146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974635,0.00005562051,0.000056435554,0.0015004297,0.00027726952,0.00007036655,0.000037162208,0.0000073133633,0.0005318533],"genre_scores_gemma":[0.9990937,0.000023528277,0.0000087269755,0.00037663247,0.000055045704,0.000002410489,0.000001508643,0.0000073748256,0.00043106425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978519,0.00023877654,0.0005396574,0.0002620607,0.0005861533,0.0005214616],"domain_scores_gemma":[0.9982323,0.00031088496,0.00027355805,0.0004208107,0.00010079491,0.0006616233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031909873,0.00014599587,0.00030283607,0.00022910026,0.0005910467,0.00015923686,0.00073904754,0.00007903031,0.0006469942],"category_scores_gemma":[0.0005335169,0.00008858719,0.00015879075,0.0014058938,0.0011071049,0.00043807103,0.000088817884,0.0003035207,0.00007262745],"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":[0.000009031237,0.000022013128,0.9780726,0.000014504126,0.000024749042,0.0001840223,0.0021356982,0.016250702,0.0001672408,0.0002048687,0.0009663367,0.0019482715],"study_design_scores_gemma":[0.00024096624,0.000048754257,0.98734313,0.000037533388,0.000036505902,0.00027292818,0.004209572,0.0053934706,0.00025491428,0.0007062306,0.0012864941,0.00016951314],"about_ca_topic_score_codex":0.39850998,"about_ca_topic_score_gemma":0.79415506,"teacher_disagreement_score":0.39564505,"about_ca_system_score_codex":0.00048109033,"about_ca_system_score_gemma":0.0005545528,"threshold_uncertainty_score":0.7084133},"labels":[],"label_agreement":null},{"id":"W4316362365","doi":"10.5194/isprs-annals-x-4-w1-2022-669-2023","title":"IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL INFORMATION SYSTEM AND REMOTE SENSING","year":2023,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Mangrove; Threatened species; Geospatial analysis; Environmental science; Environmental resource management; Computer science; Remote sensing; Geography; Ecology; Habitat","score_opus":0.05649315636187153,"score_gpt":0.3055374756817532,"score_spread":0.2490443193198817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316362365","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42935473,0.000009506586,0.5693405,0.00038684026,0.00022008209,0.00028777256,0.000025728548,0.000046136043,0.00032868446],"genre_scores_gemma":[0.9948715,0.00003304421,0.0047905897,0.00022475228,0.000028801102,1.3792099e-7,0.000029076773,0.000004292742,0.000017808241],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835557,0.00008850448,0.0005609589,0.00017197238,0.00050312944,0.00031984082],"domain_scores_gemma":[0.9990016,0.00018804165,0.00043021163,0.00018907494,0.00011134642,0.000079723904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017627565,0.00014429358,0.00021226675,0.00026563436,0.0010485217,0.00036150753,0.00014132664,0.00008547349,0.000004027113],"category_scores_gemma":[0.00037032668,0.00011007689,0.0000953503,0.0010612644,0.00033189417,0.0010065038,0.00015617062,0.000086122396,0.000009035583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024385801,0.0000018774601,0.0005821723,0.00011414722,0.000016144206,1.3836325e-7,0.003115646,0.008436864,0.00036942275,0.0000050822714,0.000113769216,0.98722035],"study_design_scores_gemma":[0.00018158778,0.000036457477,0.006088077,0.00010393384,0.000036417354,0.000017896322,0.0061846953,0.98342866,0.0027760577,0.0005596931,0.00044705713,0.00013949248],"about_ca_topic_score_codex":0.26531848,"about_ca_topic_score_gemma":0.014500187,"teacher_disagreement_score":0.9870809,"about_ca_system_score_codex":0.00004002713,"about_ca_system_score_gemma":0.000029583041,"threshold_uncertainty_score":0.8091445},"labels":[],"label_agreement":null},{"id":"W4318820838","doi":"10.31258/jkp.v13i4.8163","title":"IMPLEMENTASI KEBIJAKAN LAHAN PERTANIAN PANGAN BERKELANJUTAN","year":2022,"lang":"id","type":"article","venue":"Jurnal Kebijakan Publik","topic":"Soil and Land Suitability Analysis","field":"Environmental 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":"Encana (Canada)","funders":"","keywords":"Economics; Forestry; Geography","score_opus":0.011186605681248046,"score_gpt":0.22643557177491502,"score_spread":0.21524896609366698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318820838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93560535,0.00081237935,0.000025825986,0.011910199,0.001502887,0.000679612,0.0009954153,0.0001964413,0.048271883],"genre_scores_gemma":[0.9750311,0.000100094854,0.000097612916,0.0024189583,0.0005188016,0.000115013216,0.0003714692,0.00010595151,0.021241046],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99128956,0.0012164436,0.0013753547,0.0015741993,0.0026035928,0.0019408488],"domain_scores_gemma":[0.9966404,0.00022050491,0.00057139836,0.0014067675,0.000055073724,0.0011058945],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026485045,0.00081035926,0.0009206338,0.00042062855,0.0032395564,0.00077444094,0.0021652067,0.0001961247,0.103596725],"category_scores_gemma":[0.0001429022,0.0007897198,0.00093900133,0.0022422052,0.0004731447,0.00096482417,0.0022535236,0.0017198152,0.0019370196],"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":[0.0003610032,0.0029917627,0.80434453,0.0001041474,0.0010892915,0.0005978066,0.010604339,0.00040143935,0.005039498,0.001453642,0.112474844,0.060537674],"study_design_scores_gemma":[0.001884536,0.00093974057,0.23030601,0.000021364272,0.00054019823,0.000334048,0.016867666,0.0010231114,0.00034168948,0.0008154414,0.74540436,0.0015218384],"about_ca_topic_score_codex":0.0041523133,"about_ca_topic_score_gemma":0.0030253297,"teacher_disagreement_score":0.6329295,"about_ca_system_score_codex":0.0016396565,"about_ca_system_score_gemma":0.00024044301,"threshold_uncertainty_score":0.9994554},"labels":[],"label_agreement":null},{"id":"W4319163697","doi":"10.1016/j.ecoleng.2023.106900","title":"Rangeland species potential mapping using machine learning algorithms","year":2023,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Rangeland; Support vector machine; Machine learning; Artificial intelligence; Naive Bayes classifier; Rangeland management; Mean squared error; Correlation coefficient; Algorithm; Mathematics; Environmental science; Statistics; Computer science; Agroforestry","score_opus":0.01811898957959262,"score_gpt":0.19746723924173973,"score_spread":0.1793482496621471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319163697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925573,0.000027934435,0.0062254015,0.000100206,0.00013705013,0.00005177762,0.0000023431708,0.00026395693,0.0006340706],"genre_scores_gemma":[0.9972877,0.000023859875,0.0016966147,0.000021631013,0.000090998554,0.000005746385,0.000016268197,0.00000917214,0.00084802986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990963,0.00002811935,0.0001517848,0.00022581211,0.0001755494,0.0003224808],"domain_scores_gemma":[0.9997295,0.00008203716,0.000022634604,0.000084606705,0.0000029660935,0.00007824029],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032211049,0.000110832574,0.00016433798,0.000057247267,0.00015830774,0.000033091623,0.00011765339,0.000070765505,0.0028102868],"category_scores_gemma":[0.00014728449,0.00008859575,0.00009416021,0.0005081249,0.00003762583,0.00008215549,0.00018932452,0.00019023343,0.00044349607],"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":[0.000002421335,0.000018672727,0.09639763,0.000006353747,0.000017561902,0.00006136223,0.000102786864,0.8931732,0.008949541,0.00000685839,0.000041647887,0.0012219646],"study_design_scores_gemma":[0.00010629383,0.00001399079,0.29684937,0.000002475284,0.000008263499,0.000005455457,0.000051403345,0.69858366,0.00006464112,0.000024500048,0.0041856677,0.00010432039],"about_ca_topic_score_codex":0.0000910533,"about_ca_topic_score_gemma":0.000020083078,"teacher_disagreement_score":0.20045173,"about_ca_system_score_codex":0.00007985903,"about_ca_system_score_gemma":0.0000018149566,"threshold_uncertainty_score":0.9981013},"labels":[],"label_agreement":null},{"id":"W4320020207","doi":"10.20961/shes.v5i4.68969","title":"Land Suitability Analysis for Cocoa (T.cacao L) Development in Pining in Subdistrict Gayo Lues District Aceh Province","year":2022,"lang":"id","type":"article","venue":"Social Humanities and Educational Studies (SHEs) Conference Series","topic":"Soil and Land Suitability Analysis","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":"Encana (Canada)","funders":"","keywords":"Physics; Forestry; Horticulture; Geography; Biology","score_opus":0.06756203002553346,"score_gpt":0.2893076040751325,"score_spread":0.22174557404959905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320020207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921155,0.0027462866,0.000011587296,0.0027725843,0.00022657005,0.0005804234,0.00035431446,0.000016526637,0.0011762144],"genre_scores_gemma":[0.99401456,0.00073509663,0.00006878127,0.00011911422,0.00013423427,0.0008924289,0.0003966736,0.0000131861225,0.003625932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968654,0.00032505536,0.00081527006,0.0007768962,0.0005667524,0.0006506558],"domain_scores_gemma":[0.9985553,0.00082477444,0.0002621031,0.00017326826,0.000118016746,0.000066545086],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010649142,0.00038503273,0.00086176075,0.00023792795,0.0029841154,0.0002131793,0.0003509545,0.000084383966,0.0016236797],"category_scores_gemma":[0.00036908957,0.0003899222,0.00020051312,0.0009899613,0.0011259966,0.0004165266,0.0006256219,0.000325846,0.0000053358694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017009865,0.00047341906,0.9145265,0.00024080563,0.00051386264,0.0000020591374,0.07724963,0.0001452283,0.000004436137,0.0037028021,0.00031894806,0.0026522113],"study_design_scores_gemma":[0.0003589323,0.00011198056,0.82117933,0.000017596989,0.0002020596,8.1253785e-7,0.1632644,0.000075797856,0.000009657352,0.0032821938,0.011082846,0.00041439288],"about_ca_topic_score_codex":0.005605957,"about_ca_topic_score_gemma":0.10745872,"teacher_disagreement_score":0.10185277,"about_ca_system_score_codex":0.0015045253,"about_ca_system_score_gemma":0.00055779243,"threshold_uncertainty_score":0.9998553},"labels":[],"label_agreement":null},{"id":"W4320917071","doi":"10.18280/ijsdp.180110","title":"Geospatial Modeling of Environmental Carrying Capacity for Sustainable Agriculture Using GIS","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Lampung","keywords":"Geospatial analysis; Geographic information system; Environmental planning; Environmental resource management; Agriculture; GIS applications; Environmental science; Carrying capacity; Geography; Remote sensing; Ecology","score_opus":0.020088176346573276,"score_gpt":0.23719670388181455,"score_spread":0.21710852753524126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320917071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889497,0.000071639886,0.010521696,0.000055995337,0.00007850164,0.00009611085,0.0000044331146,0.000007190886,0.00021471066],"genre_scores_gemma":[0.99519324,0.00001398586,0.0041568354,0.000019760691,0.00008373647,0.0000027128547,0.000015939926,0.0000067818023,0.00050697726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.99871606,0.000022423217,0.00041083884,0.00013669163,0.00043025703,0.00028372026],"domain_scores_gemma":[0.9994873,0.00007673999,0.00022044868,0.00004260753,0.00010237,0.00007058024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007377964,0.00011006606,0.00019152868,0.00018722251,0.0002083765,0.000054776836,0.00019494329,0.00004903304,0.000065889384],"category_scores_gemma":[0.000122264,0.00009045706,0.000080910504,0.00017994839,0.000044366057,0.00044288146,0.00016587481,0.000103221995,0.0000010848136],"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":[0.00033844428,0.00013151167,0.20353614,0.00016301726,0.0005322084,0.0008967642,0.0352623,0.74994093,0.0026312156,0.0004952362,0.0005719125,0.0055002915],"study_design_scores_gemma":[0.0032414733,0.00018465487,0.105827935,0.00026931893,0.0002520166,0.00022632573,0.49336687,0.36414889,0.0042333407,0.011456895,0.015818637,0.0009736299],"about_ca_topic_score_codex":0.00032075105,"about_ca_topic_score_gemma":0.000008302505,"teacher_disagreement_score":0.45810458,"about_ca_system_score_codex":0.0004388583,"about_ca_system_score_gemma":0.000046366113,"threshold_uncertainty_score":0.36887318},"labels":[],"label_agreement":null},{"id":"W4323543938","doi":"10.1080/10095020.2023.2167615","title":"Mangrove plantation suitability mapping by integrating multi criteria decision making geospatial approach and remote sensing data","year":2023,"lang":"en","type":"article","venue":"Geo-spatial Information Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Institut National de la Recherche Scientifique","funders":"Lunds Universitet; European Commission","keywords":"Geospatial analysis; Mangrove; Threatened species; Environmental resource management; Intertidal zone; Multiple-criteria decision analysis; Environmental science; Suitability analysis; Geography; Remote sensing; Computer science; Ecology; Operations research; Habitat; Engineering","score_opus":0.03815402191724618,"score_gpt":0.3043533222000768,"score_spread":0.2661993002828307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323543938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4760229,0.000003917673,0.5226275,0.00007569576,0.00013160279,0.00017136506,0.000059516507,0.00008203341,0.00082550617],"genre_scores_gemma":[0.94300807,0.000013309836,0.05639058,0.00019486046,0.00002727682,0.0000015497994,0.00034718303,0.000004872668,0.000012320044],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975238,0.000078904995,0.0005809487,0.0005216127,0.0008582893,0.00043644087],"domain_scores_gemma":[0.9987492,0.00024391765,0.00022220243,0.0006042329,0.00006097023,0.00011948901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034913002,0.00017093164,0.00019237307,0.00020869855,0.0008358056,0.0005183947,0.0005784885,0.000078165336,0.000112209986],"category_scores_gemma":[0.0015289645,0.00014694202,0.00003243489,0.0014779117,0.0004327208,0.0048028585,0.0011035941,0.0001651405,0.00014847929],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023820727,0.000010625055,0.0097848745,0.00002560748,0.000003895632,6.850108e-7,0.006454399,0.00112808,0.001454189,0.000004691529,0.00040167634,0.98070747],"study_design_scores_gemma":[0.00019293583,0.000012842245,0.106559664,0.000026640833,0.00000774411,0.000007526466,0.0026816498,0.88950443,0.00009870466,0.0001896477,0.0005448339,0.0001733943],"about_ca_topic_score_codex":0.008116959,"about_ca_topic_score_gemma":0.0013585653,"teacher_disagreement_score":0.9805341,"about_ca_system_score_codex":0.0001509212,"about_ca_system_score_gemma":0.0000348339,"threshold_uncertainty_score":0.99848807},"labels":[],"label_agreement":null},{"id":"W4361292746","doi":"10.1016/j.geoderma.2023.116457","title":"Developing regional soil micronutrient management strategies through ensemble learning based digital soil mapping","year":2023,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":45,"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":"Indian Council of Agricultural Research","keywords":"Biofortification; Micronutrient; Environmental science; Agricultural engineering; Sustainable agriculture; Agronomy; Agriculture; Engineering; Biology; Ecology; Chemistry","score_opus":0.028009624508142497,"score_gpt":0.23506794290202365,"score_spread":0.20705831839388117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361292746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94996285,0.0000398084,0.020981584,0.0020804314,0.00007273142,0.00011431815,0.0000032609273,0.00025561283,0.026489394],"genre_scores_gemma":[0.99584854,0.000047323196,0.0008570633,0.00047086095,0.00003577853,0.000030845997,0.000101710495,0.000015198459,0.0025926768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983762,0.000045987654,0.0002490457,0.0004307238,0.0004092947,0.0004887594],"domain_scores_gemma":[0.9995689,0.00007480608,0.000063623294,0.00022084084,0.00001006988,0.000061779625],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022906109,0.00017511372,0.00017051167,0.000067568595,0.00040237498,0.00019768665,0.000221613,0.00005954451,0.00034380762],"category_scores_gemma":[0.000014521411,0.00016125114,0.00012698054,0.0006870199,0.00012094079,0.00045530437,0.00025965145,0.00013796349,0.0013280805],"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":[0.00004912519,0.00015739059,0.12918888,0.00022100977,0.00019956764,0.00022633605,0.0052438607,0.80452216,0.00077992224,0.0014202477,0.009984602,0.04800688],"study_design_scores_gemma":[0.0020849037,0.00008347693,0.24957353,0.00021656675,0.00010732671,0.000030907104,0.038814798,0.18030348,0.001979661,0.027144521,0.49790546,0.001755361],"about_ca_topic_score_codex":0.00027881566,"about_ca_topic_score_gemma":0.00013865519,"teacher_disagreement_score":0.6242187,"about_ca_system_score_codex":0.00015145277,"about_ca_system_score_gemma":0.00002683199,"threshold_uncertainty_score":0.9994495},"labels":[],"label_agreement":null},{"id":"W4367055453","doi":"10.1038/s41598-023-33840-6","title":"Simultaneous multi-crop land suitability prediction from remote sensing data using semi-supervised learning","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":33,"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 Guelph","funders":"Alliance de recherche numérique du Canada","keywords":"Crop; Environmental science; Crop yield; Agricultural engineering; Agriculture; Arable land; Canola; Agronomy; Ecology; Biology","score_opus":0.04286821523220353,"score_gpt":0.27027392486350177,"score_spread":0.22740570963129825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367055453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928522,0.00002782222,0.004581761,0.000056186833,0.0017643137,0.00018096891,0.000036431054,0.00029332624,0.00020695195],"genre_scores_gemma":[0.99383247,0.0000046958526,0.003642798,0.000013766481,0.000077180506,3.1572296e-7,0.00096504117,0.000018271629,0.0014454656],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963609,0.00021184706,0.000574067,0.0015845315,0.00079995045,0.00046869527],"domain_scores_gemma":[0.9974408,0.0002518051,0.0001890697,0.0019005208,0.000040096642,0.00017766679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032977285,0.00018233941,0.0002560872,0.00008901862,0.00093656196,0.00030936513,0.00029147384,0.00010911071,0.0006246966],"category_scores_gemma":[0.0018615585,0.00016087104,0.000097533855,0.0012944657,0.00037501854,0.000426517,0.0007746945,0.00022857085,0.0002248698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013041756,0.00005085898,0.6069892,0.00001435302,0.000035832654,0.00063078856,0.0012970616,0.31524694,0.03141816,2.13291e-8,0.0006691356,0.043634612],"study_design_scores_gemma":[0.00012691786,0.0000070282963,0.020753937,0.00001862236,0.00006227169,0.000042860345,0.00031460027,0.97214115,0.00060243043,0.0004074598,0.0053422693,0.00018047632],"about_ca_topic_score_codex":0.011043015,"about_ca_topic_score_gemma":0.0028648102,"teacher_disagreement_score":0.6568942,"about_ca_system_score_codex":0.00017026458,"about_ca_system_score_gemma":0.000041834537,"threshold_uncertainty_score":0.9955425},"labels":[],"label_agreement":null},{"id":"W4381621745","doi":"10.31315/psb.v4i1.8886","title":"Evaluasi Lahan Berdasarkan Kualitas dan Karakteristik Lahan pada Bekas Pertambangan Tanah Urug di Dusun Pucang Gading, Kelurahan Hargomulyo, Kapanewon Kokap, Kabupaten Kulon Progo, Daerah Istimewa Yogyakarta","year":2023,"lang":"id","type":"article","venue":"Prosiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMI","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Encana (Canada)","funders":"","keywords":"Forestry; Physics; Geography","score_opus":0.024752900637949927,"score_gpt":0.2733321348857332,"score_spread":0.24857923424778328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381621745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877076,0.0032055203,0.000021149828,0.002487479,0.0019505927,0.0023306825,0.0007984961,0.001159836,0.00033864327],"genre_scores_gemma":[0.96021014,0.0008077523,0.00065186055,0.00050609553,0.001679353,0.00040285022,0.0022380766,0.0005147212,0.032989126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98358047,0.0016511806,0.0027205907,0.004390552,0.003739204,0.0039179823],"domain_scores_gemma":[0.9916406,0.00129852,0.0013822243,0.0031760896,0.00041340853,0.0020891186],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.005157936,0.002475435,0.002512186,0.0010924696,0.0036678272,0.0012945081,0.0033208837,0.0014202449,0.00010132703],"category_scores_gemma":[0.0023161268,0.002418479,0.0015832485,0.0044136783,0.0018407399,0.0013130431,0.0024559882,0.0024986817,0.002889468],"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":[0.0006196299,0.0015726122,0.031014657,0.0010105197,0.0008882091,0.0006845843,0.013278732,0.00021912862,0.9227909,0.0002826662,0.013542574,0.0140957795],"study_design_scores_gemma":[0.0032343152,0.0020643612,0.065447405,0.003723533,0.0024612201,0.00031526922,0.0080083655,0.01791044,0.83324265,0.0007697718,0.05683028,0.0059923525],"about_ca_topic_score_codex":0.0037067211,"about_ca_topic_score_gemma":0.0021987688,"teacher_disagreement_score":0.08954822,"about_ca_system_score_codex":0.0020163888,"about_ca_system_score_gemma":0.00054353586,"threshold_uncertainty_score":0.99987614},"labels":[],"label_agreement":null},{"id":"W4382407738","doi":"10.33422/2nd.wscee.2022.12.105","title":"Irrigation as a Cushion for the Effects of Global Warming and Its Soil Salinity Implication on Crop Growth in Nigeria","year":2022,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Irrigation; Salinity; Environmental science; Crop; Soil salinity; Global warming; Cushion; Agronomy; Agricultural engineering; Agroforestry; Soil water; Climate change; Soil science; Geology; Geography; Engineering; Oceanography; Biology","score_opus":0.007606374781200275,"score_gpt":0.24425342973614975,"score_spread":0.23664705495494948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382407738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979746,0.000022570233,0.00010949649,0.0006091851,0.000030519146,0.00023721118,0.0000046876444,0.0000073553206,0.0010043852],"genre_scores_gemma":[0.99967545,0.000006660983,0.000017195418,0.00015398007,0.0000059980707,0.00009336866,0.0000049084533,0.0000017861506,0.000040637497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994491,0.000072227,0.00011042946,0.00014655835,0.00014098399,0.00008070407],"domain_scores_gemma":[0.99958724,0.0002648594,0.000040921594,0.00008286466,0.000004660661,0.000019470684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000368992,0.00004562199,0.00007015085,0.000009038979,0.00015581152,0.000007443462,0.000079577,0.000017330101,0.0001194168],"category_scores_gemma":[0.00016251586,0.00003083203,0.000032811226,0.00020530552,0.000026784226,0.00005469717,0.00007371066,0.000039416682,0.000004326814],"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":[0.00027055142,0.00037667443,0.93501264,0.00009567491,0.000029445799,8.5893595e-7,0.002104436,0.0038817641,0.017812032,0.0069488776,0.00022698176,0.03324008],"study_design_scores_gemma":[0.0005283737,0.00027019103,0.9592035,0.0000047482936,0.00002543177,0.0000016335327,0.0004931769,0.013466346,0.010214437,0.0156104565,0.00008997042,0.00009178035],"about_ca_topic_score_codex":0.0017068525,"about_ca_topic_score_gemma":0.0011424561,"teacher_disagreement_score":0.0331483,"about_ca_system_score_codex":0.000110368666,"about_ca_system_score_gemma":0.0000055110695,"threshold_uncertainty_score":0.25802618},"labels":[],"label_agreement":null},{"id":"W4388067322","doi":"","title":"Phytomanagement of contaminated lands: considerations from above-and below-ground","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Soil and Land Suitability Analysis","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":"National Research Council Canada","funders":"","keywords":"Contamination; Environmental science; Computer science; Ecology","score_opus":0.01436193602059482,"score_gpt":0.21599713683877964,"score_spread":0.2016352008181848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388067322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93471056,0.0006876679,0.0070398487,0.003785631,0.000086010325,0.0003151451,0.00016756603,0.00007673868,0.05313085],"genre_scores_gemma":[0.9883815,0.00023861688,0.008184869,0.00008721154,0.000009079452,0.0000370776,0.0004149361,0.000015711707,0.0026310089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963273,0.0019566324,0.0005057752,0.00060520746,0.00040547692,0.0001995977],"domain_scores_gemma":[0.99688786,0.0010094875,0.00036491334,0.0012217782,0.00036178256,0.00015415385],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003020867,0.00022649496,0.00040151575,0.000071541326,0.00019020613,0.0001652286,0.0004224543,0.00017756855,0.0013039404],"category_scores_gemma":[0.00090309326,0.00021832141,0.00012578968,0.0002006396,0.0004094457,0.00011179032,0.0013693952,0.0002814594,0.000044936605],"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":[0.00009309633,0.0038376173,0.74302083,0.00046280143,0.0016094868,0.00004091873,0.09055059,0.0025479274,0.0053240587,0.030539226,0.016798947,0.10517452],"study_design_scores_gemma":[0.0031738898,0.00000287459,0.7368201,0.001459952,0.00091093127,0.000008847739,0.0020426873,0.080696866,0.014201144,0.13014907,0.028882917,0.0016507152],"about_ca_topic_score_codex":0.021385437,"about_ca_topic_score_gemma":0.019394336,"teacher_disagreement_score":0.103523806,"about_ca_system_score_codex":0.000116800176,"about_ca_system_score_gemma":0.000060593145,"threshold_uncertainty_score":0.999609},"labels":[],"label_agreement":null},{"id":"W4389263719","doi":"10.32388/17i8td","title":"Review of: \"Spatial Analysis of Soil Fertility Using Geostatistical Techniques And Artificial Neural Networks\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Artificial neural network; Geostatistics; Environmental science; Computer science; Geography; Spatial variability; Artificial intelligence; Statistics; Mathematics","score_opus":0.04401435194365817,"score_gpt":0.32512179081397885,"score_spread":0.2811074388703207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389263719","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05092401,0.79778445,0.07794675,0.03638058,0.0026951542,0.0076336684,0.008214916,0.000946967,0.017473511],"genre_scores_gemma":[0.115032315,0.8347926,0.0077419933,0.011427276,0.00084092544,0.00029962583,0.0106025,0.00025291747,0.019009821],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99699044,0.00031806985,0.0012112125,0.0006027123,0.0005984705,0.0002790941],"domain_scores_gemma":[0.99846077,0.00035984238,0.0004056655,0.0005887484,0.00007055669,0.00011441694],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015369084,0.00029033812,0.0018350147,0.00012822157,0.00006889786,0.000012935576,0.00026629504,0.00019818493,0.0061586364],"category_scores_gemma":[0.0005110308,0.0002194481,0.00062460604,0.001619756,0.00046666924,0.000054451517,0.00036927575,0.0002598066,0.000005641634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000818807,0.00038418354,0.03527391,0.04724747,0.0024568154,0.000028108974,0.000047662677,0.0035656516,0.000015109079,0.000023597384,0.12847036,0.78240526],"study_design_scores_gemma":[0.00010443438,0.0001483827,0.03760011,0.012101636,0.033491362,0.0000054558377,0.000019338004,0.8838414,0.00003942579,0.00034577135,0.031309072,0.0009936248],"about_ca_topic_score_codex":0.036820855,"about_ca_topic_score_gemma":0.015567862,"teacher_disagreement_score":0.8802757,"about_ca_system_score_codex":0.00007143566,"about_ca_system_score_gemma":0.000024703186,"threshold_uncertainty_score":0.99474984},"labels":[],"label_agreement":null},{"id":"W4389641635","doi":"10.5539/jas.v16n1p22","title":"Research on the Factors Influencing the Security of Grain Supply Capacity in Sichuan Province Based on PLS Structural Equation Modelling","year":2023,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Food security; Supply and demand; Structural equation modeling; Business; Social security; Resource (disambiguation); Carrying capacity; Natural resource economics; Environmental economics; Agricultural economics; Economics; Geography; Mathematics; Market economy; Computer science; Ecology; Microeconomics","score_opus":0.0767591120877241,"score_gpt":0.28346932210518044,"score_spread":0.20671021001745635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389641635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977606,0.0000027678884,0.000012944668,0.0017517139,0.000054515847,0.0001379436,0.0000032522294,0.000004599388,0.0002716519],"genre_scores_gemma":[0.99988896,0.0000032943437,0.000024442148,0.00004184233,0.000022633114,0.0000018465644,6.5685657e-7,0.0000015480605,0.000014777657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.997032,0.00032746754,0.00033941274,0.00019059169,0.0017858535,0.00032465876],"domain_scores_gemma":[0.9986057,0.0008395001,0.0002053719,0.00017210504,0.00009983871,0.0000774488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053295298,0.000094358824,0.00014125962,0.00012684439,0.0005082161,0.000085301726,0.00076015963,0.000034821136,0.00005496183],"category_scores_gemma":[0.00053157745,0.000033926488,0.000095737974,0.0027107212,0.00067195104,0.00044232572,0.00009123377,0.0004987336,0.000008235473],"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":[0.000023472587,0.000032045355,0.1671744,0.000004674364,0.000003290297,0.0000016726951,0.0050779856,0.8162934,0.010715589,0.00034497696,0.00008254056,0.00024592306],"study_design_scores_gemma":[0.000074929194,0.00012308793,0.8685637,0.00003560917,0.000003932497,0.0000012172736,0.0055739903,0.11988885,0.00409269,0.0015796357,0.000005844998,0.00005647963],"about_ca_topic_score_codex":0.0021203156,"about_ca_topic_score_gemma":0.0009996915,"teacher_disagreement_score":0.7013893,"about_ca_system_score_codex":0.0003683699,"about_ca_system_score_gemma":0.00006112774,"threshold_uncertainty_score":0.39088386},"labels":[],"label_agreement":null},{"id":"W4390674747","doi":"10.1016/j.heliyon.2024.e24101","title":"Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":10,"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 du Québec en Abitibi-Témiscamingue","funders":"King Saud University","keywords":"Arid; Phenology; Remote sensing; Series (stratigraphy); Time series; Environmental science; Climatology; Physical geography; Hydrology (agriculture); Geography; Geology; Mathematics; Statistics; Ecology","score_opus":0.04452916368657765,"score_gpt":0.2601862372280971,"score_spread":0.21565707354151942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390674747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852926,0.00023846191,0.00058146456,0.000114336195,0.000042772415,0.00021144326,0.000053928678,0.000053254098,0.00017505493],"genre_scores_gemma":[0.999582,0.00003433458,0.00024133615,0.000025929936,0.000022316342,0.000010447916,0.00006373689,0.000004895153,0.000015038472],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855304,0.00016357291,0.00044078814,0.00037795122,0.00026728353,0.0001973936],"domain_scores_gemma":[0.9991045,0.00011803894,0.000065410226,0.0006477033,0.000010705048,0.0000536622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004574801,0.00013493492,0.00025886664,0.00007356375,0.000094428295,0.00006840155,0.00025606254,0.00008691977,0.0005763692],"category_scores_gemma":[0.00012882726,0.00010963878,0.000047695612,0.00052607537,0.00011848591,0.0012741005,0.00054955855,0.00015880889,0.00006925677],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116209725,0.0006868585,0.92317206,0.00027898123,0.00011191732,0.0009860746,0.042132884,0.014152864,0.0030787718,0.0000027022027,0.000045140412,0.015235511],"study_design_scores_gemma":[0.0012564376,0.00030052246,0.3549483,0.00032684437,0.00021984737,0.00049480225,0.08967276,0.5503116,0.00056901586,0.0006504777,0.0005452423,0.0007041207],"about_ca_topic_score_codex":0.01711555,"about_ca_topic_score_gemma":0.0074164863,"teacher_disagreement_score":0.5682238,"about_ca_system_score_codex":0.00015568864,"about_ca_system_score_gemma":0.000020813024,"threshold_uncertainty_score":0.98942953},"labels":[],"label_agreement":null},{"id":"W4391432888","doi":"10.3390/agronomy14020319","title":"Evaluating the Topographic Factors for Land Suitability Mapping of Specialty Crops in Southern Ontario","year":2024,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":9,"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 Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Geography; Land use; Environmental science; Physical geography; Environmental resource management; Remote sensing; Agroforestry; Ecology; Biology","score_opus":0.04444628360954911,"score_gpt":0.27964320181764696,"score_spread":0.23519691820809785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391432888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997488,0.00007661087,0.00012925042,0.0001529572,0.000057282945,0.00022865337,0.000007974762,0.000011511711,0.0018477644],"genre_scores_gemma":[0.9989837,8.519098e-7,0.0002235283,0.000012879325,0.000025597123,0.000027266506,0.000006901703,0.000004398737,0.0007149232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991478,0.00006332419,0.00022966875,0.00024199593,0.0001457543,0.0001714569],"domain_scores_gemma":[0.99933463,0.0004028892,0.00003236312,0.00019740938,0.0000054573193,0.000027224716],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010015087,0.000083604995,0.00014108412,0.00003367371,0.000080968784,0.000032656557,0.00014900652,0.000035918325,0.0020297514],"category_scores_gemma":[0.000059454476,0.000050681236,0.00015424988,0.0002638391,0.00012626497,0.00008334497,0.00006221101,0.00010000434,0.00002025052],"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":[0.0000066356533,0.000021753222,0.978653,0.000014770955,0.000016768274,1.8170411e-7,0.014059574,0.00046475045,0.000034786124,0.00002092414,0.000017829925,0.0066889967],"study_design_scores_gemma":[0.00010488178,0.000029463512,0.9906864,0.000012832718,0.000024443068,1.719129e-7,0.0029502031,0.001465907,0.00002761764,0.0027693766,0.0018514798,0.00007720507],"about_ca_topic_score_codex":0.17991613,"about_ca_topic_score_gemma":0.5825557,"teacher_disagreement_score":0.4026396,"about_ca_system_score_codex":0.00015011005,"about_ca_system_score_gemma":0.00003075822,"threshold_uncertainty_score":0.99888253},"labels":[],"label_agreement":null},{"id":"W4391822753","doi":"10.3390/foods13040568","title":"Spatial Assessment of Land Suitability Potential for Agriculture in Nigeria","year":2024,"lang":"en","type":"article","venue":"Foods","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China; Federal Ministry of Agriculture and Rural Development, Nigeria; China Scholarship Council; State Key Laboratory of Resources and Environmental Information System; National Natural Science Foundation of China","keywords":"Food security; Land use; Land cover; Geospatial analysis; Agriculture; Suitability analysis; Agricultural land; Environmental science; Multiple-criteria decision analysis; Geography; Distribution (mathematics); Production (economics); Spatial distribution; Marginal land; Food processing; Agroforestry; Environmental protection; Environmental resource management; Remote sensing; Ecology","score_opus":0.007157871914793048,"score_gpt":0.25800725604848473,"score_spread":0.2508493841336917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391822753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935653,0.000053176696,0.0036725972,0.0002522525,0.00015771705,0.0001563929,0.000040904713,0.00001792711,0.0020837034],"genre_scores_gemma":[0.9991171,0.0000035559908,0.00057923514,0.000012685536,0.000049084203,0.00002624945,0.000024355579,0.000003530287,0.00018423778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992638,0.00004033607,0.00017733609,0.00022095305,0.00015836406,0.00013919249],"domain_scores_gemma":[0.999762,0.000057543068,0.00001818443,0.00012320431,0.0000051886814,0.00003386175],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034408757,0.000069778325,0.00014006945,0.000020617928,0.000027166483,0.000020308746,0.00009236154,0.00005777467,0.0010578722],"category_scores_gemma":[0.00002356995,0.000047623562,0.000114317816,0.00019040989,0.000057006615,0.00007018209,0.000052139345,0.00006746209,0.000009292016],"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":[0.00001984307,0.0001544925,0.9826736,0.00007460852,0.000027091211,0.0000031839757,0.00037525775,0.0030233269,0.0026649022,0.000050944058,0.0005329557,0.010399781],"study_design_scores_gemma":[0.00020181319,0.000102869366,0.97232664,0.000009684325,0.000024499117,0.0000010267455,0.00009539762,0.02284506,0.0003441333,0.0014309582,0.0025250935,0.00009280029],"about_ca_topic_score_codex":0.0016664678,"about_ca_topic_score_gemma":0.009070851,"teacher_disagreement_score":0.019821733,"about_ca_system_score_codex":0.00007966448,"about_ca_system_score_gemma":0.00001336987,"threshold_uncertainty_score":0.9998553},"labels":[],"label_agreement":null},{"id":"W4392289096","doi":"10.18280/ijdne.190107","title":"Cultivating Sustainable Green Belts with ADW and RWH in Iraq's Arid Zones","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Anbar","keywords":"Arid; Green belt; Geography; Sustainable development; Environmental science; Mining engineering; Engineering; Geology; Ecology; Archaeology","score_opus":0.004981726799291576,"score_gpt":0.2265824539120456,"score_spread":0.22160072711275403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392289096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898295,0.0012568911,0.0054060826,0.0025274039,0.00010830704,0.000057839272,0.0000033630877,0.0000075617068,0.00080309587],"genre_scores_gemma":[0.99670744,0.0002595085,0.0021737323,0.00015612108,0.00006899272,0.0000011675126,0.0000025447566,0.0000065164863,0.0006239915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919957,0.000035902718,0.00021257071,0.00014313629,0.00028004506,0.00012879133],"domain_scores_gemma":[0.9996329,0.00015519666,0.00007137206,0.000042850672,0.000043511107,0.000054152657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047571972,0.000089755194,0.00013149992,0.00018021661,0.000042857722,0.000113116585,0.00014088432,0.00008330873,0.00006113692],"category_scores_gemma":[0.000060702354,0.00006104488,0.0000365529,0.00023103345,0.00006364439,0.0004434786,0.000066424174,0.00036113927,0.0000016829016],"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":[0.0009434632,0.0003107451,0.7701097,0.00016912744,0.0008371258,0.0037994592,0.0060399533,0.026496088,0.0010028963,0.008006227,0.0011182794,0.1811669],"study_design_scores_gemma":[0.002911101,0.0010180225,0.4728405,0.00090484746,0.00031114064,0.0028149188,0.006928201,0.4278766,0.00025948518,0.064240515,0.018932732,0.0009619583],"about_ca_topic_score_codex":0.0002633808,"about_ca_topic_score_gemma":0.00050250115,"teacher_disagreement_score":0.4013805,"about_ca_system_score_codex":0.000118353375,"about_ca_system_score_gemma":0.00002416452,"threshold_uncertainty_score":0.24893378},"labels":[],"label_agreement":null},{"id":"W4393235728","doi":"10.3390/agronomy14040693","title":"Implementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Institut National de la Recherche Agronomique; Ontario Ministry of Agriculture, Food and Rural Affairs; Université Mohammed VI Polytechnique; University of Minnesota","keywords":"Phosphorus; Remote sensing; Sensor fusion; Environmental science; Computer science; Environmental resource management; Geography; Machine learning","score_opus":0.010403271241238765,"score_gpt":0.22225237064941392,"score_spread":0.21184909940817515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393235728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997216,0.000071191665,0.0020916327,0.00020265073,0.000047836056,0.00022149914,0.000055463282,0.0000061738397,0.00008753798],"genre_scores_gemma":[0.9985393,0.000009136937,0.001129724,0.000022085158,0.000012114457,0.0000028472052,0.00014375805,0.000003928633,0.00013705893],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99937135,0.000015801197,0.00014673977,0.00027116694,0.00008895111,0.000105990934],"domain_scores_gemma":[0.9997979,0.000032684013,0.000023995166,0.00010085762,0.0000034105876,0.00004116472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023519316,0.00006111818,0.00008710729,0.000021061851,0.00005223254,0.00002154175,0.000042085692,0.00001962192,0.00012480578],"category_scores_gemma":[0.000011302164,0.00005264723,0.000010108988,0.000059281592,0.00002089395,0.00011830604,0.00014334597,0.00006487877,4.383741e-7],"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":[0.000022950446,0.0000040345853,0.45420069,0.000014300171,0.0000102179065,0.000001035552,0.0009006065,0.0001432403,0.0005980368,0.0000010232123,0.000093196984,0.54401064],"study_design_scores_gemma":[0.00042501133,0.00013828216,0.7740381,0.000019941868,0.000053366493,0.0000025749612,0.00079150277,0.2064668,0.001496353,0.00011921737,0.016333863,0.00011504819],"about_ca_topic_score_codex":0.9963521,"about_ca_topic_score_gemma":0.99878585,"teacher_disagreement_score":0.5438956,"about_ca_system_score_codex":0.00018109937,"about_ca_system_score_gemma":0.00006268915,"threshold_uncertainty_score":0.21468918},"labels":[],"label_agreement":null},{"id":"W4394133615","doi":"10.6084/m9.figshare.23982693","title":"Soil Science","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Environmental science","score_opus":0.029147407991523964,"score_gpt":0.2584949094109305,"score_spread":0.22934750141940655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394133615","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011693125,0.00001219162,5.4314775e-9,0.00004011067,0.00007679209,0.00006532979,0.9980489,0.000057576755,0.001687377],"genre_scores_gemma":[0.0000092352075,0.000005317097,0.0000019173222,0.00017102211,0.000079436286,0.000082547005,0.9982683,0.000008355083,0.0013738534],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982881,0.000019086625,0.00014583181,0.00051867065,0.00067784736,0.0003504445],"domain_scores_gemma":[0.9990205,0.00008731996,0.000069300375,0.0006698743,0.000012245966,0.00014072952],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014795552,0.0001605719,0.00017392427,0.000080896396,0.00023695691,0.00009907555,0.0010311231,0.0001326089,0.6833806],"category_scores_gemma":[0.0014842611,0.00013233534,0.0001076126,0.0010905571,0.00007654873,0.00013920077,0.0009587404,0.00022362015,0.50470304],"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":[5.7414815e-7,0.000013658477,0.000018682844,0.00003261354,0.0000041055073,0.00001423971,0.000005179591,0.00007755484,7.443339e-7,1.8695332e-8,0.99931514,0.00051745924],"study_design_scores_gemma":[0.00002947891,0.000008788031,0.0024537903,0.000112297705,0.000013187216,0.0000014218854,0.000006915416,0.00008349562,0.00000789443,0.00002013853,0.99707764,0.00018493942],"about_ca_topic_score_codex":0.001911197,"about_ca_topic_score_gemma":0.0030519199,"teacher_disagreement_score":0.17867759,"about_ca_system_score_codex":0.00014482083,"about_ca_system_score_gemma":0.00005557571,"threshold_uncertainty_score":0.5396479},"labels":[],"label_agreement":null},{"id":"W4394263330","doi":"10.6084/m9.figshare.1352071","title":"Soil aggregation data from Tabi et al. (1990)","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Forestry; Geography; Environmental science","score_opus":0.08023713085303238,"score_gpt":0.2958677029819348,"score_spread":0.21563057212890244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394263330","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020462623,0.00021606007,1.530588e-7,0.00043016433,0.00007924702,0.000107323765,0.99828756,0.000033616263,0.00082539115],"genre_scores_gemma":[0.000014655145,0.000035359866,0.00001978385,0.0027833167,0.00010347872,0.000050298484,0.99671715,0.000012936167,0.00026300253],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796677,0.00011923291,0.00024088209,0.0007803672,0.00066281256,0.00022995062],"domain_scores_gemma":[0.99741787,0.00016179247,0.00017270035,0.0020705634,0.000017117001,0.00015997884],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021069517,0.00024348372,0.00028321054,0.00003188394,0.00007866849,0.00011104664,0.0015255199,0.00022227455,0.76419],"category_scores_gemma":[0.0015987849,0.00020709138,0.00007585983,0.00021333636,0.000019428622,0.00039123814,0.0017515741,0.00034648104,0.0789623],"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":[0.0000040989,0.000043974713,0.000071597664,0.000014942474,0.000026355387,0.000011125976,0.000013269974,0.00006189638,3.3274165e-7,5.8454557e-9,0.9983491,0.0014033429],"study_design_scores_gemma":[0.00011872621,0.000010835341,0.0006221446,0.0001941562,0.00005289754,0.0000010954107,0.00001259055,0.00094694877,0.0000021908613,0.000042950123,0.9977212,0.0002742924],"about_ca_topic_score_codex":0.00983904,"about_ca_topic_score_gemma":0.021794273,"teacher_disagreement_score":0.68522775,"about_ca_system_score_codex":0.00011772623,"about_ca_system_score_gemma":0.000055011147,"threshold_uncertainty_score":0.9967545},"labels":[],"label_agreement":null},{"id":"W4395676423","doi":"10.5194/isprs-archives-xlviii-4-w8-2023-113-2024","title":"SITE SUITABILITY ANALYSIS OF SALT FARMS IN PANGASINAN USING GEOSPATIAL DATA AND ANALYTIC HIERARCHY PROCESS","year":2024,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"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":"Geospatial analysis; Analytic hierarchy process; Hierarchy; Process (computing); Environmental science; Computer science; Geography; Operations research; Engineering; Cartography; Economics","score_opus":0.022030145191822247,"score_gpt":0.281471821605788,"score_spread":0.25944167641396576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395676423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32488823,0.000046999976,0.67085916,0.0014563075,0.00048428366,0.0003822565,0.00022917076,0.000022677026,0.0016309209],"genre_scores_gemma":[0.99803,0.00012372411,0.0013937248,0.00029596128,0.000048752772,2.3821922e-7,0.00007778466,0.000007651034,0.000022165965],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954451,0.00033604266,0.0015027935,0.000556595,0.0017193647,0.00044014753],"domain_scores_gemma":[0.9969876,0.0011620705,0.0009775286,0.0006224139,0.00011755017,0.00013283998],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024362796,0.00034510868,0.00054897956,0.0012488425,0.00071685226,0.00056495104,0.0015110888,0.00008299027,0.000022436561],"category_scores_gemma":[0.00078962604,0.0002138019,0.0003448338,0.0026254125,0.0036732417,0.0007205334,0.0014693523,0.00038227855,0.0000014384912],"study_design_candidate":"simulation_or_modeling","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":[0.00010406302,0.000026287227,0.013738882,0.00006626446,0.00019543819,4.768813e-7,0.006355815,0.01987027,0.0009595373,0.000002317014,0.0000051140814,0.95867556],"study_design_scores_gemma":[0.00033653015,0.00007077672,0.038859945,0.00021211301,0.00022196308,0.000044103755,0.0021622647,0.9527029,0.00094842346,0.0037798225,0.0004286201,0.00023256485],"about_ca_topic_score_codex":0.8909905,"about_ca_topic_score_gemma":0.5923023,"teacher_disagreement_score":0.958443,"about_ca_system_score_codex":0.000064898326,"about_ca_system_score_gemma":0.00016700113,"threshold_uncertainty_score":0.9990382},"labels":[],"label_agreement":null},{"id":"W4398327427","doi":"10.7910/dvn/bh43df/fcvtfk","title":"metadata.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Soil and Land Suitability Analysis","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":"University of Calgary","funders":"","keywords":"Metadata; XML; World Wide Web; Computer science; Information retrieval","score_opus":0.015300496664974034,"score_gpt":0.22733262205852667,"score_spread":0.21203212539355262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398327427","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009453181,8.6792164e-7,0.000020547703,0.00000767109,0.00036920464,0.0001611462,0.9976776,0.00002309804,0.0016452918],"genre_scores_gemma":[0.000021364636,0.00016095425,0.00010552759,0.00057898834,0.00009146046,0.00001387358,0.9942453,0.00001291426,0.0047696223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978701,0.00011068878,0.00030693135,0.0007358419,0.0005994436,0.0003769932],"domain_scores_gemma":[0.9971781,0.000091658665,0.00014035248,0.0024233824,0.000006826998,0.00015968706],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004172919,0.00031540103,0.00045703357,0.00006692432,0.000106155334,0.00013921305,0.0011394526,0.0002535805,0.43179306],"category_scores_gemma":[0.0001583991,0.0002588349,0.00022406256,0.00025994,0.0001687486,0.00068875804,0.0011523456,0.00036234243,0.7358248],"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":[0.00001419924,0.000078232115,0.00036827495,0.000031586565,0.000081865386,0.00002926583,0.0000075177754,0.000071196046,0.0000042434226,0.0000017280674,0.9989319,0.00038001133],"study_design_scores_gemma":[0.00018709093,0.000023050936,0.00044928322,0.000009656549,0.00034409374,0.0000056930603,0.000027975635,0.000059513754,0.0000043374507,0.00002029735,0.99852335,0.0003456582],"about_ca_topic_score_codex":0.0050101737,"about_ca_topic_score_gemma":0.0018130712,"teacher_disagreement_score":0.30403176,"about_ca_system_score_codex":0.00013395103,"about_ca_system_score_gemma":0.00002479303,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W4400003066","doi":"10.18280/ijdne.190302","title":"Evaluation of Soil Retention Capabilities Using RETC Application in Various Paddy Field Management Systems in Purwantoro District, Indonesia","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agricultural engineering; Paddy field; Field (mathematics); Engineering; Environmental science; Mathematics; Agronomy; Biology","score_opus":0.01324073714367745,"score_gpt":0.25949180163550445,"score_spread":0.246251064491827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400003066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95346355,0.0012756557,0.04431732,0.00017040623,0.00034034034,0.00015605845,0.000005092533,0.00000352073,0.0002680567],"genre_scores_gemma":[0.9992539,0.00026340998,0.00040090634,0.000015064876,0.00003949655,0.000006559396,0.0000070097776,0.0000044030194,0.000009196766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984654,0.00015505025,0.00045284876,0.00014684262,0.0006975074,0.00008232392],"domain_scores_gemma":[0.999539,0.00012858638,0.00014957675,0.00007473407,0.00008481221,0.000023290739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002211841,0.00007562216,0.00014301542,0.00025063913,0.000016810342,0.00005308387,0.00015174135,0.00011461519,0.000021725924],"category_scores_gemma":[0.000064246204,0.000064098014,0.00005710269,0.0002601901,0.000029969795,0.0002761963,0.000037314443,0.00023171738,7.781756e-7],"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":[0.00025249433,0.00029402453,0.20692521,0.00016615556,0.00035587884,0.00009523599,0.001938654,0.55625784,0.0014930862,0.0018966307,0.000073587355,0.2302512],"study_design_scores_gemma":[0.000337956,0.000042720636,0.05971734,0.00014789776,0.00011860486,0.000042901833,0.00046642747,0.9316597,0.000036959624,0.007313263,0.000043238462,0.00007301184],"about_ca_topic_score_codex":0.0008472936,"about_ca_topic_score_gemma":0.000804882,"teacher_disagreement_score":0.37540182,"about_ca_system_score_codex":0.00055043213,"about_ca_system_score_gemma":0.000029999284,"threshold_uncertainty_score":0.2613841},"labels":[],"label_agreement":null},{"id":"W4400894780","doi":"10.12795/rea.2024.i48.05","title":"Impact de la cannabiculture sur la dégradation physico-chimique et le comportement hydrodynamique des sols dans le bassin de l’Oued Sra, (Rif Central, Maroc).","year":2024,"lang":"fr","type":"article","venue":"Revista de Estudios Andaluces","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Impact","funders":"","keywords":"Geology","score_opus":0.006939144944541848,"score_gpt":0.2617296025333148,"score_spread":0.25479045758877295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400894780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97713107,0.008998411,0.0061115366,0.0056016524,0.000058120517,0.0003176474,0.00018923116,0.00008741374,0.001504921],"genre_scores_gemma":[0.99055344,0.005876971,0.0006083594,0.00015142476,0.00013932979,0.0000570742,0.00009629884,0.000039156213,0.0024779486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962615,0.0015181686,0.00045825908,0.0006150795,0.0003368152,0.0008101775],"domain_scores_gemma":[0.9988266,0.0003539962,0.00013568669,0.00031550374,0.000028371154,0.0003398456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022320491,0.0004229057,0.0005215656,0.000053617565,0.00048817633,0.000768228,0.00029984314,0.00024291618,0.00028976012],"category_scores_gemma":[0.00014116171,0.00034533528,0.00047128813,0.0005034801,0.00052567973,0.00060908863,0.00012811282,0.0004757359,0.000023218143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008109507,0.0026419624,0.8006051,0.0016401251,0.0012987999,0.0004578327,0.010931569,0.04478378,0.045497615,0.013380983,0.021889938,0.05679117],"study_design_scores_gemma":[0.00056793925,0.00015008952,0.8740813,0.0007291832,0.00044669933,0.00014899374,0.0010612694,0.0506594,0.001707711,0.0016795896,0.06813179,0.00063604384],"about_ca_topic_score_codex":0.05120436,"about_ca_topic_score_gemma":0.011008776,"teacher_disagreement_score":0.07347616,"about_ca_system_score_codex":0.0019637123,"about_ca_system_score_gemma":0.00068577914,"threshold_uncertainty_score":0.99989986},"labels":[],"label_agreement":null},{"id":"W4401616884","doi":"10.3390/land13081288","title":"Machine Learning for Criteria Weighting in GIS-Based Multi-Criteria Evaluation: A Case Study of Urban Suitability Analysis","year":2024,"lang":"en","type":"article","venue":"Land","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Computer science; Suitability analysis; Geographic information system; Machine learning; Data mining; Artificial intelligence; Geography; Cartography","score_opus":0.03958875004926864,"score_gpt":0.33778707948628267,"score_spread":0.298198329437014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401616884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833494,0.0001970614,0.00084153574,0.000061390376,0.000048270846,0.00038974287,0.000022271433,0.000027130272,0.00007765075],"genre_scores_gemma":[0.99929744,9.329413e-7,0.00045923103,0.000011317893,0.00002088628,0.00008993201,0.000042074997,0.000007916509,0.00007029119],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983751,0.0003681003,0.00037603205,0.00042773088,0.00026853362,0.00018446527],"domain_scores_gemma":[0.9992871,0.000338623,0.00004985483,0.00025028829,0.000022330802,0.000051778883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022361479,0.00012067613,0.00030936353,0.0001478003,0.00010483292,0.000057583246,0.000096151,0.00004494164,0.0023083333],"category_scores_gemma":[0.00023516515,0.00009437986,0.00015420193,0.0010058754,0.000047404254,0.000112548885,0.000052581225,0.000105615734,0.0000052373116],"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":[0.00003440238,0.0003908288,0.9780868,0.00004853526,0.000115356925,0.000057996178,0.004301788,0.01368778,0.00012256882,2.8267715e-7,0.0000061730802,0.0031474757],"study_design_scores_gemma":[0.0007385226,0.00010459067,0.26629445,0.0000068372196,0.0005399448,0.000003874658,0.0009760241,0.73111975,0.000016773678,0.000021150774,0.00008731309,0.000090752896],"about_ca_topic_score_codex":0.029456425,"about_ca_topic_score_gemma":0.12457573,"teacher_disagreement_score":0.71743196,"about_ca_system_score_codex":0.00010698185,"about_ca_system_score_gemma":0.000013673915,"threshold_uncertainty_score":0.9986037},"labels":[],"label_agreement":null},{"id":"W4402070628","doi":"10.18535/ijsrm/v12i08.sh02","title":"Active Mobility Assessment in the City of Bamenda","year":2024,"lang":"en","type":"article","venue":"International Journal of Scientific Research and Management (IJSRM)","topic":"Soil and Land Suitability Analysis","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":"Transport Canada","funders":"","keywords":"Medicine","score_opus":0.059096779445477934,"score_gpt":0.39943107827814317,"score_spread":0.34033429883266525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402070628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789377,0.00009655717,0.0002401581,0.0033493508,0.000373737,0.00014631769,0.000009915159,0.0000025200648,0.01684375],"genre_scores_gemma":[0.9983834,0.00021793632,0.00020635677,0.000026038386,0.000033968357,0.000008066797,0.0000030062831,0.0000020495472,0.0011191656],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972279,0.00018911342,0.00032857954,0.0002282135,0.0018501948,0.00017597355],"domain_scores_gemma":[0.9993572,0.000251419,0.00006162809,0.0001632092,0.00011027199,0.00005627426],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0072395066,0.000059245827,0.00010361579,0.00036295716,0.000096297925,0.00034810754,0.00070924696,0.00001965422,0.00091582234],"category_scores_gemma":[0.00007038084,0.000035739125,0.00008061111,0.00068906107,0.00059110194,0.00038426727,0.00034153892,0.00029583642,0.00001314747],"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":[0.0005103839,0.0033459782,0.33483055,0.0002631761,0.0009783853,0.0008970786,0.010652979,0.00074111804,0.0040058848,0.022699196,0.029181391,0.5918939],"study_design_scores_gemma":[0.00055150694,0.000236172,0.8504573,0.00015468737,0.000033465083,0.000027308755,0.007842328,0.003105024,0.00058019365,0.045709115,0.0911876,0.00011527789],"about_ca_topic_score_codex":0.0002696091,"about_ca_topic_score_gemma":0.00025139516,"teacher_disagreement_score":0.5917786,"about_ca_system_score_codex":0.00020704328,"about_ca_system_score_gemma":0.000031005882,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W4402261863","doi":"10.1109/igarss53475.2024.10642193","title":"A Self-Supervised Approach for Producing A Land Use Map for Southern Quebec","year":2024,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","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":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Land use; Artificial intelligence; Engineering; Civil engineering","score_opus":0.018550260357579153,"score_gpt":0.21953363574153825,"score_spread":0.2009833753839591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402261863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8480814,0.00016452039,0.14416294,0.0016405251,0.0001344051,0.0017797668,0.00011208387,0.0005051684,0.0034191702],"genre_scores_gemma":[0.8008218,0.000003602763,0.13623509,0.00033337108,0.00021700245,0.00067504024,0.000112369955,0.000040247727,0.061561473],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991271,0.0000176412,0.00012681574,0.0004076607,0.00011214609,0.00020863203],"domain_scores_gemma":[0.9995947,0.00013443282,0.000009822335,0.00020053933,0.000006188781,0.000054328546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034161966,0.00009581057,0.00012092818,0.00002259212,0.000096582866,0.00014261602,0.00010345618,0.000045025532,0.00044152702],"category_scores_gemma":[0.0000400338,0.00006345979,0.0001512975,0.00013263592,0.000029129684,0.00017173293,0.00004097341,0.00003899034,0.000100757454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003806167,0.0014448597,0.7092776,0.0033489498,0.00096374133,0.000006708637,0.06267971,0.008093109,0.002189425,0.001129368,0.042359225,0.16812672],"study_design_scores_gemma":[0.00045968097,0.00005915222,0.002140506,0.000009676777,0.00017780578,0.000001787897,0.0013335703,0.92144907,0.00017043907,0.00068002596,0.07322727,0.0002910428],"about_ca_topic_score_codex":0.01100738,"about_ca_topic_score_gemma":0.01119712,"teacher_disagreement_score":0.91335595,"about_ca_system_score_codex":0.000066917775,"about_ca_system_score_gemma":0.000013045662,"threshold_uncertainty_score":0.9955784},"labels":[],"label_agreement":null},{"id":"W4402367732","doi":"10.1080/27669645.2024.2400432","title":"Forest stand and soil types determine soil organic carbon storage in the Middle Atlas region of Morocco using machine learning models","year":2024,"lang":"en","type":"article","venue":"All Earth","topic":"Soil and Land Suitability Analysis","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":"McGill University","funders":"","keywords":"Atlas (anatomy); Soil carbon; Environmental science; Soil science; Total organic carbon; Geology; Soil water; Environmental chemistry; Chemistry; Paleontology","score_opus":0.03545020158665426,"score_gpt":0.21377037457988285,"score_spread":0.17832017299322858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402367732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978049,0.0011307255,0.0000977293,0.00008046528,0.000016430316,0.000050531988,0.0000013900218,0.000012252024,0.0008055955],"genre_scores_gemma":[0.9995192,0.00012787638,0.000034059478,0.000024891808,0.000014027559,0.0000014295098,0.0000030309197,0.00000791125,0.00026755926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931157,0.0000780404,0.00013049254,0.00018544315,0.00015891856,0.00013554734],"domain_scores_gemma":[0.9997324,0.000078195,0.000027332728,0.0001310522,0.000003314664,0.000027738532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002662024,0.00008156994,0.000121341676,0.00003411759,0.0000455123,0.000030042507,0.000082430015,0.000037071135,0.000055608052],"category_scores_gemma":[0.000020203934,0.00005407155,0.00003424475,0.00021080187,0.00007914368,0.00011430476,0.00006356435,0.00012834853,0.0000034236928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005004624,0.00008615865,0.44311136,0.0001363571,0.0000641805,0.00017023599,0.012736581,0.53325117,0.0052595786,0.000058502894,0.000011207058,0.0050646355],"study_design_scores_gemma":[0.0001035508,0.000049923627,0.009028863,0.000030594703,0.000045304678,0.000024122583,0.00026528657,0.9894433,0.000231618,0.0005498307,0.00014678281,0.00008080108],"about_ca_topic_score_codex":0.0059036314,"about_ca_topic_score_gemma":0.027661512,"teacher_disagreement_score":0.45619217,"about_ca_system_score_codex":0.00002268455,"about_ca_system_score_gemma":0.000009720083,"threshold_uncertainty_score":0.99008113},"labels":[],"label_agreement":null},{"id":"W4403453767","doi":"10.1002/tqem.22328","title":"An Integrated Spatial Fuzzy‐Based Site Suitability Assessment Framework for Agricultural BMP Placement","year":2024,"lang":"en","type":"article","venue":"Environmental Quality Management","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for International Governance Innovation; Balsillie School of International Affairs; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fuzzy logic; Agriculture; Business; Computer science; Environmental resource management; Transport engineering; Environmental planning; Engineering; Geography; Environmental science; Artificial intelligence","score_opus":0.015010422887922458,"score_gpt":0.29957078071726534,"score_spread":0.28456035782934286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403453767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7384012,0.000056026227,0.25545543,0.0009434049,0.00038976886,0.0014059386,0.00036488016,0.00024114766,0.0027422549],"genre_scores_gemma":[0.97669196,0.000019595216,0.020372199,0.00045380954,0.00010252655,0.00048138225,0.0011295374,0.00003300291,0.0007159948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959466,0.00043092552,0.0007292875,0.0012825616,0.00097394316,0.0006366706],"domain_scores_gemma":[0.99845463,0.00029630156,0.00010891912,0.00085821,0.0000040738214,0.0002778826],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018037566,0.00045698858,0.00039951532,0.00007313842,0.00035313776,0.0002571556,0.00045641014,0.0001544406,0.007620077],"category_scores_gemma":[0.000022542114,0.00035778296,0.00039722284,0.00031557473,0.00028861253,0.00039920476,0.00029615485,0.0003108894,0.0005619397],"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":[0.00079861184,0.008881119,0.5123603,0.0012399254,0.001370358,0.00007777313,0.003917974,0.0645526,0.005379168,0.024377177,0.0040572197,0.37298778],"study_design_scores_gemma":[0.0009583156,0.00051042094,0.91604346,0.000064472755,0.00037001204,0.0000013552564,0.0043824003,0.0311637,0.0005206339,0.0060732793,0.038896665,0.0010153055],"about_ca_topic_score_codex":0.0008346203,"about_ca_topic_score_gemma":0.0004793589,"teacher_disagreement_score":0.40368316,"about_ca_system_score_codex":0.0015435992,"about_ca_system_score_gemma":0.000011771362,"threshold_uncertainty_score":0.9998874},"labels":[],"label_agreement":null},{"id":"W4404860586","doi":"10.53555/sfs.v7i3.3201","title":"Importance of Soil Bacteria In Agricultural Fields And Agronomic Regulation Pathways","year":2021,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Bacteria; Agronomy; Environmental science; Biotechnology; Agricultural engineering; Biology; Agroforestry; Ecology; Engineering; Genetics","score_opus":0.06206243351347863,"score_gpt":0.2186266675473468,"score_spread":0.15656423403386818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404860586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985623,0.000076206685,0.0000045342376,0.00034140886,0.000072498195,0.000014925301,0.0000023001662,8.0065354e-7,0.00092505745],"genre_scores_gemma":[0.9996005,0.00006594878,0.00025885293,0.000022874763,0.000009842444,3.8001315e-7,0.0000014371805,8.686254e-7,0.000039263443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990418,0.00016455729,0.00038479676,0.000118774515,0.00018588796,0.00010418539],"domain_scores_gemma":[0.9995486,0.00015404526,0.00018721666,0.0000582222,0.000020894162,0.00003098627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016436775,0.000052524287,0.0001846187,0.000036190126,0.00003856548,0.00003512124,0.00012272279,0.0000332345,0.00039847393],"category_scores_gemma":[0.00024367278,0.00003596631,0.00003578171,0.00047112603,0.00026910126,0.0004822179,0.000052366002,0.0000738891,5.905388e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011235326,0.000026771253,0.9948157,0.0000033156548,0.0000021522403,0.000003639173,0.00057712104,0.0011224811,0.0023040476,0.0000040248688,0.00007075496,0.0010587379],"study_design_scores_gemma":[0.00011399087,0.000048250517,0.99765015,0.0000127676585,0.000002248455,0.000011269552,0.0007338435,0.0001230131,0.00067509786,0.00056557497,0.000015124812,0.00004867109],"about_ca_topic_score_codex":0.0014559136,"about_ca_topic_score_gemma":0.055292778,"teacher_disagreement_score":0.053836867,"about_ca_system_score_codex":0.000043108,"about_ca_system_score_gemma":0.000032662363,"threshold_uncertainty_score":0.96194565},"labels":[],"label_agreement":null},{"id":"W4404990405","doi":"10.54804/yhthvb.5.2024.370","title":"Đánh giá hiệu quả của nẹp miệng trong dự phòng sẹo co kéo vùng miệng sau bỏng","year":2024,"lang":"vi","type":"article","venue":"Tạp chí Y học Thảm hoạ và Bỏng","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Chemistry","score_opus":0.01004127598817059,"score_gpt":0.26545540842098525,"score_spread":0.25541413243281463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404990405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8558047,0.016404139,0.0011878907,0.0049994504,0.0032040766,0.0010739553,0.0004175204,0.00092695997,0.115981326],"genre_scores_gemma":[0.9788225,0.001494398,0.0005399086,0.00069440354,0.0013310411,0.00008707918,0.00019008463,0.00018428714,0.016656246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9906655,0.0007199159,0.001625227,0.002587405,0.0019353788,0.0024665752],"domain_scores_gemma":[0.9958216,0.0010641876,0.00031413912,0.0018051843,0.00004649334,0.0009484027],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0026041414,0.0012892354,0.0014768125,0.00045019563,0.0012674318,0.0011062876,0.0015760986,0.0007468508,0.021380026],"category_scores_gemma":[0.0003122389,0.0011663854,0.0012347725,0.002031487,0.001026804,0.0016148244,0.0008418305,0.0015987753,0.00851687],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000607209,0.002171992,0.3123186,0.0025700198,0.003036234,0.0011797391,0.030453157,0.012912007,0.03544133,0.0030194724,0.04886496,0.5474253],"study_design_scores_gemma":[0.0037794318,0.0010324343,0.1605699,0.0021433425,0.0036036614,0.00022886512,0.014970412,0.20102681,0.010612793,0.0049292096,0.5905048,0.006598332],"about_ca_topic_score_codex":0.007308757,"about_ca_topic_score_gemma":0.002505817,"teacher_disagreement_score":0.54163986,"about_ca_system_score_codex":0.001109872,"about_ca_system_score_gemma":0.00018634112,"threshold_uncertainty_score":0.99998593},"labels":[],"label_agreement":null},{"id":"W4405571773","doi":"10.58682/jsbe.44.1/lnpk2391","title":"Mass production of soil mesofauna from the Terminalia arjuna forest ecosystem for reintroduction into degraded agroecosystems","year":2024,"lang":"en","type":"article","venue":"JOURNAL OF SOIL BIOLOGY AND ECOLOGY","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Agroecosystem; Soil mesofauna; Agroforestry; Ecosystem; Environmental science; Terminalia arjuna; Forest ecology; Forestry; Geography; Ecology; Soil biology; Agriculture; Biology; Terminalia; Soil science; Soil water","score_opus":0.008145965251450641,"score_gpt":0.23327154795625918,"score_spread":0.22512558270480854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405571773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916182,0.00094907614,0.00036199592,0.004656658,0.002202386,0.00013788974,0.000011886878,0.000008774881,0.000053092357],"genre_scores_gemma":[0.99859095,0.00027789405,0.00017520413,0.000044564953,0.0007320033,0.000016132608,0.000012060662,0.000006633527,0.00014454001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864143,0.00025183166,0.0005653221,0.0002707691,0.000083281666,0.00018735397],"domain_scores_gemma":[0.9990405,0.0004165019,0.00028950442,0.0001629156,0.000039192844,0.00005140484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014473192,0.00012014641,0.00037583336,0.000069766036,0.00015771054,0.00001792729,0.00017430089,0.00018636505,0.00011497545],"category_scores_gemma":[0.0002612482,0.000069730544,0.00017081782,0.00014513268,0.00022861171,0.00014318494,0.00004278932,0.00019015178,0.000014284524],"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":[0.00037752057,0.000102692444,0.95153767,0.0002022914,0.00053553004,0.000010498001,0.0016310209,0.002362147,0.018506782,0.00042242507,0.00583463,0.01847682],"study_design_scores_gemma":[0.0020051147,0.0035553712,0.743015,0.00027656896,0.0018175417,0.0010479135,0.0062857955,0.029456338,0.01039464,0.1520519,0.049382646,0.00071116444],"about_ca_topic_score_codex":0.000655666,"about_ca_topic_score_gemma":0.012554964,"teacher_disagreement_score":0.20852263,"about_ca_system_score_codex":0.00009708152,"about_ca_system_score_gemma":0.000028034756,"threshold_uncertainty_score":0.7005965},"labels":[],"label_agreement":null},{"id":"W4406191003","doi":"10.3390/soilsystems9010003","title":"Predicting Soil Salinity Based on Soil/Water Extracts in a Semi-Arid Region of Morocco","year":2025,"lang":"en","type":"article","venue":"Soil Systems","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":11,"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; University of Guelph","funders":"Université Mohammed VI Polytechnique","keywords":"Arid; Soil salinity; Salinity; Environmental science; Soil water; Soil science; Hydrology (agriculture); Agroforestry; Water resource management; Geography; Geology; Oceanography; Geotechnical engineering","score_opus":0.011965057312499463,"score_gpt":0.22267393164357327,"score_spread":0.2107088743310738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406191003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97565544,0.00004767324,0.00020019515,0.00037161197,0.000221534,0.0001807436,0.0000054214897,0.000045582114,0.023271792],"genre_scores_gemma":[0.99863636,0.000004640162,0.000003969029,0.00012822448,0.000042119373,0.000041591487,0.000012611471,0.000009426866,0.0011210743],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808395,0.00027112514,0.00049322925,0.0004134432,0.00039803938,0.00034019165],"domain_scores_gemma":[0.9991304,0.00019801692,0.0001137202,0.00046734442,0.000016185868,0.00007430069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010385741,0.00017078825,0.00036776197,0.00012604221,0.00009246224,0.000033137338,0.0002338617,0.0001541929,0.00008497283],"category_scores_gemma":[0.00011575533,0.00012564792,0.00013610437,0.00041747457,0.00010901438,0.00012273822,0.00008787932,0.0002032819,0.00006300759],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006742207,0.00021116801,0.8132178,0.00016133522,0.00002091656,0.000016512964,0.000647748,0.18263939,0.0015658005,0.000012292049,0.0005407902,0.0008988056],"study_design_scores_gemma":[0.0018783539,0.00018033029,0.30650413,0.00073147856,0.000120251694,0.0000067759947,0.002211308,0.67238253,0.013364805,0.0003291549,0.0017629768,0.0005278906],"about_ca_topic_score_codex":0.022710921,"about_ca_topic_score_gemma":0.006947263,"teacher_disagreement_score":0.5067137,"about_ca_system_score_codex":0.00022285763,"about_ca_system_score_gemma":0.000028639683,"threshold_uncertainty_score":0.98379695},"labels":[],"label_agreement":null},{"id":"W4406398797","doi":"10.1016/0967-0653(93)90137-v","title":"10.1016/0967-0653(93)90137-v","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mangrove; Degradation (telecommunications); Litter; Plant litter; Environmental science; Ecology; Biology; Ecosystem","score_opus":0.003909346179081809,"score_gpt":0.15216126351068446,"score_spread":0.14825191733160265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406398797","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011526455,0.000013670422,6.4084526e-7,0.0003570913,6.750962e-7,0.00007163756,0.000006409705,0.00006240409,0.987961],"genre_scores_gemma":[0.0022974655,2.0703021e-7,0.00006409034,0.000087957655,0.00003981439,0.000011531449,0.00001044027,0.0000088131355,0.9974797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990582,0.000041810617,0.00014207805,0.00027050113,0.00023206706,0.00025533876],"domain_scores_gemma":[0.99947286,0.00003576015,0.000014545447,0.0003107641,0.0000037058285,0.0001623937],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017718706,0.00010753022,0.00013789257,0.000021669359,0.000103274135,0.000029658457,0.00023482906,0.000048238817,0.9998223],"category_scores_gemma":[0.000023229179,0.00008964899,0.00008601776,0.00029559416,0.00006778108,0.000108852335,0.000063756415,0.000070427464,0.9991858],"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":[0.000025435063,0.00006422937,0.000028958762,0.0000012832746,0.0000106521065,0.0000028927618,0.00004400448,0.00093143096,0.000015666963,1.4505186e-7,0.12360688,0.8752684],"study_design_scores_gemma":[0.00009393903,0.00004868123,0.0012721355,0.0000020386751,0.000019435589,0.0000022655665,0.0000025094323,0.00071640644,0.000029649327,0.000022391778,0.99764985,0.0001406864],"about_ca_topic_score_codex":0.00044164064,"about_ca_topic_score_gemma":0.000008467419,"teacher_disagreement_score":0.87512773,"about_ca_system_score_codex":0.00005804884,"about_ca_system_score_gemma":0.0000037890993,"threshold_uncertainty_score":0.36557797},"labels":[],"label_agreement":null},{"id":"W4406425195","doi":"10.1016/0967-0653(93)95306-q","title":"10.1016/0967-0653(93)95306-q","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nutrient; Environmental science; Ecology; Biology","score_opus":0.003935235562502562,"score_gpt":0.15254720629732607,"score_spread":0.14861197073482352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406425195","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011221286,0.000014614549,6.94673e-7,0.00033456375,6.8591913e-7,0.000069443005,0.000006375115,0.00006396446,0.9882884],"genre_scores_gemma":[0.0023158179,1.932093e-7,0.00006288129,0.000082033446,0.00004048855,0.000011229372,0.000010777548,0.000008813725,0.99746776],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990578,0.000042766733,0.00014169428,0.00027135096,0.00023271036,0.0002536528],"domain_scores_gemma":[0.99946874,0.000036449124,0.0000145298145,0.0003139826,0.0000036778804,0.00016258798],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018295874,0.000107424865,0.00013779843,0.000021688591,0.00010396228,0.000029342384,0.00023378777,0.000048273687,0.999811],"category_scores_gemma":[0.000024270748,0.00008961511,0.00008609373,0.00029590845,0.000067948706,0.000105642306,0.000062427906,0.00007123885,0.99916226],"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":[0.000025887437,0.00006317719,0.000026129806,0.0000012412892,0.000010716703,0.0000028933193,0.000044621273,0.0009266847,0.000015099875,1.3349207e-7,0.12041229,0.87847114],"study_design_scores_gemma":[0.00009361555,0.000048694215,0.0011428603,0.0000020646287,0.000019697667,0.0000023145376,0.0000023863101,0.00067180773,0.00003107113,0.000022874861,0.997822,0.0001406281],"about_ca_topic_score_codex":0.0004455025,"about_ca_topic_score_gemma":0.000008494835,"teacher_disagreement_score":0.8783305,"about_ca_system_score_codex":0.00005831061,"about_ca_system_score_gemma":0.0000038488233,"threshold_uncertainty_score":0.3654398},"labels":[],"label_agreement":null},{"id":"W4406610518","doi":"10.1007/s11852-024-01093-8","title":"Harnessing complexity: integrating remote sensing and fuzzy expert system for evaluating land use land cover changes and identifying mangrove forest vulnerability in Bangladesh","year":2025,"lang":"en","type":"article","venue":"Journal of Coastal Conservation","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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 Saskatchewan","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Mangrove; Vulnerability (computing); Land cover; Nature Conservation; Environmental resource management; Cover (algebra); Forest cover; Land use; Agroforestry; Environmental science; Geography; Remote sensing; Fishery; Ecology; Computer science; Engineering","score_opus":0.07178160035910643,"score_gpt":0.320373072814797,"score_spread":0.24859147245569058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406610518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746869,0.00011097167,0.023870226,0.0009843514,0.00008666524,0.00015843478,0.0000054224,0.00000751401,0.000089477806],"genre_scores_gemma":[0.99055785,0.0000130626,0.009155922,0.00019764,0.000027038912,8.6692387e-7,0.000006492488,0.000005435568,0.000035704586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886197,0.00019505408,0.0004187691,0.00017726878,0.00020487065,0.00014207368],"domain_scores_gemma":[0.9988882,0.0006363967,0.0002684929,0.00008436409,0.00007880073,0.00004375471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017203861,0.00010750482,0.00027733325,0.000101643,0.0002039846,0.00020813274,0.0000484857,0.000057694302,0.000004775321],"category_scores_gemma":[0.0006863889,0.00008819113,0.000045258854,0.00019585222,0.00011010717,0.0004691049,0.00008482894,0.00014064468,1.9736115e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017315945,0.00001233612,0.93637013,0.00014558228,0.0000242754,0.0000052972,0.0011054872,0.00044269834,0.0035395813,0.000026995587,0.000027222695,0.058127254],"study_design_scores_gemma":[0.0010296348,0.000069240254,0.57981527,0.00062967377,0.000056838282,0.0000306525,0.00213376,0.41416267,0.00021104609,0.0016473079,0.000103797596,0.00011011498],"about_ca_topic_score_codex":0.0059026824,"about_ca_topic_score_gemma":0.04141772,"teacher_disagreement_score":0.41371995,"about_ca_system_score_codex":0.00012947973,"about_ca_system_score_gemma":0.000022759006,"threshold_uncertainty_score":0.9760739},"labels":[],"label_agreement":null},{"id":"W4406828818","doi":"10.4236/ojss.2025.151005","title":"Effect of Different Land Use Types on Nutrient Distribution across Soil Depth in Busega Wetland, Uganda","year":2025,"lang":"en","type":"article","venue":"Open Journal of Soil Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"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":"University of British Columbia","keywords":"Wetland; Soil nutrients; Environmental science; Land use; Nutrient; Distribution (mathematics); Hydrology (agriculture); Soil science; Geography; Soil water; Geology; Mathematics; Ecology; Biology; Geotechnical engineering","score_opus":0.00960368316599028,"score_gpt":0.282348972388343,"score_spread":0.2727452892223527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406828818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836355,0.000027089924,0.00012039395,0.00019122937,0.00013231588,0.00011044297,0.000010687214,0.0000019102454,0.001042381],"genre_scores_gemma":[0.99973625,0.00006419057,0.0000123448735,0.000034046116,0.000008735338,0.0000031207924,0.0000020997838,0.0000021513504,0.00013709089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984036,0.00016227092,0.00037985615,0.00022916577,0.00055392407,0.00027115352],"domain_scores_gemma":[0.9991298,0.00030830942,0.00019774179,0.00021850853,0.00003707865,0.00010857378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028710365,0.00011077746,0.00032774435,0.000066114,0.00018806451,0.00019016431,0.00080980506,0.000040075833,0.000068181966],"category_scores_gemma":[0.0005428045,0.000068583126,0.00008949524,0.000941148,0.0004403267,0.00058075064,0.00035200344,0.00016977022,0.0000099839435],"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":[0.00032809054,0.0001766577,0.9668141,0.00001119096,0.0000094835295,0.000006849541,0.0001656878,0.0035765022,0.0010470984,0.000034672237,0.000058026435,0.027771624],"study_design_scores_gemma":[0.001230483,0.00047650214,0.9643195,0.00016755823,0.000028581053,0.0000053016092,0.000065975655,0.0015384007,0.03152082,0.00023557938,0.0003153238,0.00009596129],"about_ca_topic_score_codex":0.0019594193,"about_ca_topic_score_gemma":0.005230151,"teacher_disagreement_score":0.030473722,"about_ca_system_score_codex":0.000259011,"about_ca_system_score_gemma":0.000051194016,"threshold_uncertainty_score":0.2962069},"labels":[],"label_agreement":null},{"id":"W4407955752","doi":"10.18280/isi.300201","title":"Implementation of K-Nearest Neighbors Algorithm for Red Onion Crop Suitability Land Assessment in Selaawi, Indonesia","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Crop; Algorithm; Geography; Computer science; Forestry","score_opus":0.00865656342978196,"score_gpt":0.2717608440878272,"score_spread":0.26310428065804525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407955752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529116,0.000010405777,0.0439645,0.00014105093,0.00008775924,0.00055564573,0.000040545532,0.00002571776,0.0022627702],"genre_scores_gemma":[0.99657947,0.000008886733,0.0029970438,0.0000731601,0.000007679389,0.00013319791,0.00018170694,0.0000034222987,0.000015415133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865097,0.00008298188,0.0006832987,0.00014801304,0.00022122006,0.00021351213],"domain_scores_gemma":[0.9993906,0.00010691196,0.00020565774,0.00019736821,0.0000564494,0.000043035532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009021459,0.00011742111,0.00022173654,0.00015730054,0.00011910706,0.000057175876,0.00013313346,0.00008356926,0.00019261858],"category_scores_gemma":[0.00008735048,0.000107333224,0.000080923615,0.00061333796,0.00010943758,0.0011466537,0.00007113785,0.00008012812,0.000005693826],"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":[0.000017141409,0.000037920938,0.7555699,0.00009950751,0.000015450318,1.0206135e-7,0.0011757445,0.0010112938,0.000049411312,0.00010663613,0.00008595825,0.24183095],"study_design_scores_gemma":[0.00080617605,0.000064227315,0.9619853,0.000029811414,0.000024568568,5.561038e-7,0.0019694653,0.031759363,0.00059736107,0.0021372787,0.0005193104,0.000106609215],"about_ca_topic_score_codex":0.004823657,"about_ca_topic_score_gemma":0.002336529,"teacher_disagreement_score":0.24172433,"about_ca_system_score_codex":0.000600834,"about_ca_system_score_gemma":0.00008137346,"threshold_uncertainty_score":0.7291959},"labels":[],"label_agreement":null},{"id":"W4407985052","doi":"10.18280/ijdne.200110","title":"Predicting Nitrogen, Phosphorus, and Potassium Content in Dryland Agriculture Soils of Aceh Besar District Using NIRS Data Models","year":2025,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Badan Riset dan Inovasi Nasional","keywords":"Potassium; Phosphorus; Soil water; Nitrogen; Environmental science; Agriculture; Agronomy; Dryland farming; Soil science; Geography; Chemistry; Biology","score_opus":0.022052841493320364,"score_gpt":0.25080958533873854,"score_spread":0.22875674384541816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407985052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869705,0.0020876147,0.010019774,0.00042170245,0.00016776663,0.00006653965,0.00007423244,0.0000026121272,0.00018927836],"genre_scores_gemma":[0.9968884,0.00087948167,0.0020403715,0.00010145856,0.000032809585,4.937287e-7,0.000021434455,0.0000035708374,0.000031982636],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989097,0.000055786728,0.0004181178,0.00018703939,0.00031064215,0.000118720316],"domain_scores_gemma":[0.99937534,0.00014115106,0.00024037012,0.00011748265,0.00007138053,0.00005426824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053950783,0.00010930326,0.00023056252,0.00010741632,0.00004761118,0.000049467348,0.0003888992,0.0001438263,0.000011001347],"category_scores_gemma":[0.00012617058,0.000078581594,0.000054281896,0.00018211838,0.00007702327,0.00036562595,0.00023635032,0.00035478163,1.4368963e-7],"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":[0.00026123988,0.00017227656,0.938859,0.000017232102,0.00035307737,0.00004348248,0.00034402305,0.04908152,0.0020972774,0.00017158178,0.00031976812,0.0082795145],"study_design_scores_gemma":[0.0013399074,0.00007538955,0.11840058,0.00021548061,0.0002372358,0.00013661067,0.00097530824,0.8693517,0.00055621384,0.008358895,0.00015774101,0.0001949595],"about_ca_topic_score_codex":0.00046920957,"about_ca_topic_score_gemma":0.00035343037,"teacher_disagreement_score":0.8204584,"about_ca_system_score_codex":0.00011821402,"about_ca_system_score_gemma":0.00003109845,"threshold_uncertainty_score":0.32044643},"labels":[],"label_agreement":null},{"id":"W4408467567","doi":"10.5194/egusphere-egu25-18418","title":"Enhancing Soil Fertility Mapping with Hyperspectral Remote Sensing and Advanced AI: A Comparative Study of Dimensionality Reduction Techniques in Morocco","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental 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 Guelph","funders":"","keywords":"Soil fertility; Hyperspectral imaging; Environmental science; Arable land; Precision agriculture; Remote sensing; Agriculture; Earth observation; Soil retrogression and degradation; Agricultural engineering; Computer science; Soil science; Soil water; Geography; Engineering","score_opus":0.019533291900017773,"score_gpt":0.28232370319460715,"score_spread":0.26279041129458935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408467567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99345696,0.000032426393,0.003489062,0.0001331103,0.000025225681,0.0005840818,0.000003317098,0.000051258663,0.00222457],"genre_scores_gemma":[0.98468184,0.000008925729,0.015156229,0.000019977188,0.000005942855,0.0000043963378,0.0000054811017,0.0000038010608,0.00011341767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803925,0.00025423468,0.00046569415,0.0007487096,0.00030485622,0.00018724565],"domain_scores_gemma":[0.99928695,0.000071423354,0.00014972736,0.00040710805,0.000038129583,0.00004665932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006157748,0.00023110479,0.00060845073,0.00010376486,0.00010244599,0.00001973316,0.00010139889,0.00011045236,0.00003877051],"category_scores_gemma":[0.000030513855,0.00018160245,0.000059367925,0.00036010853,0.00019040518,0.00010599479,0.00048814836,0.00042429252,5.0208826e-7],"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":[0.0030933227,0.003477657,0.49545684,0.0010780473,0.0008850379,0.000043785836,0.11080277,0.10070767,0.1096914,0.00002877761,0.000028984034,0.17470571],"study_design_scores_gemma":[0.0011305314,0.0003802687,0.7594205,0.0008208141,0.0002364256,0.0000101566675,0.07652035,0.06630253,0.0882137,0.006115866,0.000009685169,0.0008391824],"about_ca_topic_score_codex":0.038376305,"about_ca_topic_score_gemma":0.0401557,"teacher_disagreement_score":0.26396367,"about_ca_system_score_codex":0.00030093084,"about_ca_system_score_gemma":0.000035464007,"threshold_uncertainty_score":0.97735894},"labels":[],"label_agreement":null},{"id":"W4408539510","doi":"10.14796/jwmm.c542","title":"Agro-ecological Zoning for Crop Suitability using the AquaCrop Model in the Arid Regions of Khuzestan Province, Iran","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Zoning; Arid; Crop; Geography; Agroforestry; Environmental science; Ecology; Forestry; Biology; Engineering","score_opus":0.04178069085509568,"score_gpt":0.2760916235424142,"score_spread":0.2343109326873185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408539510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7291513,0.00002496032,0.2677326,0.0015690279,0.00003623004,0.00026656012,9.265654e-7,0.0000031610655,0.0012152314],"genre_scores_gemma":[0.9954079,0.000019464298,0.0041347994,0.00024746667,0.000018174429,0.000010035433,9.1443866e-7,0.0000045593847,0.00015669837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837285,0.00015386287,0.000671173,0.00019197851,0.0003318452,0.00027831135],"domain_scores_gemma":[0.9993917,0.000110914574,0.00014166144,0.00029989134,0.000029792578,0.000026037038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030096306,0.00011773746,0.00025015243,0.00009607221,0.00025076236,0.00005703382,0.00056961173,0.000045588633,0.00002315432],"category_scores_gemma":[0.00004972637,0.000052896743,0.00023459361,0.000237077,0.00012096392,0.00019635419,0.00021996985,0.00020164344,6.4296637e-7],"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":[0.00007147615,0.00017865229,0.0077044335,0.00004281437,0.000049104,0.000004504948,0.001257041,0.9886801,0.0004524039,0.00063350267,0.000055347362,0.0008706176],"study_design_scores_gemma":[0.00035734885,0.000039421582,0.0014180695,0.000032333908,0.00017042935,0.0000024249457,0.002503631,0.9681048,0.000094549796,0.02708742,0.000117563206,0.00007204286],"about_ca_topic_score_codex":0.00016754429,"about_ca_topic_score_gemma":0.00030063637,"teacher_disagreement_score":0.26625657,"about_ca_system_score_codex":0.00016609055,"about_ca_system_score_gemma":0.0000140525035,"threshold_uncertainty_score":0.21570666},"labels":[],"label_agreement":null},{"id":"W4408985142","doi":"10.1111/gean.70004","title":"Assessing the Number of Criteria in <scp>GIS</scp>‐Based Multicriteria Evaluation: A Machine Learning Approach","year":2025,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Machine learning","score_opus":0.017519232313445703,"score_gpt":0.31681447039901917,"score_spread":0.29929523808557346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408985142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851102,0.00013898009,0.005476368,0.00044111998,0.00002371576,0.00013044557,0.0000046708956,0.000022593118,0.008651893],"genre_scores_gemma":[0.99794316,0.000016707922,0.0015921632,0.00019100729,0.0000100398065,0.00005420378,0.00007638269,0.0000051628226,0.000111175075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720746,0.0008872578,0.00050839974,0.00048991624,0.00061166746,0.00029528618],"domain_scores_gemma":[0.99868417,0.0006297701,0.00012359732,0.00045113298,0.000048349702,0.000062963765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026518384,0.00017181304,0.00044804593,0.00034979597,0.00022914135,0.00012530117,0.00034873903,0.0001142551,0.0019844496],"category_scores_gemma":[0.00076948147,0.000115925475,0.00054449897,0.0071219103,0.00036649642,0.00016120792,0.00015621659,0.0002997133,0.000012029328],"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":[0.0000042184333,0.00022523948,0.9536326,0.000017227734,0.00028864236,0.0000010544668,0.00021519847,0.04206015,0.00015989286,0.000023134906,0.000020530268,0.00335211],"study_design_scores_gemma":[0.00021754224,0.0000038179746,0.5043545,0.000005405977,0.0010502656,2.8238665e-7,0.00036343548,0.49335545,0.000025018124,0.0003976705,0.00018946403,0.000037175047],"about_ca_topic_score_codex":0.004171303,"about_ca_topic_score_gemma":0.0011493008,"teacher_disagreement_score":0.4512953,"about_ca_system_score_codex":0.000050260478,"about_ca_system_score_gemma":0.000017633249,"threshold_uncertainty_score":0.9989279},"labels":[],"label_agreement":null},{"id":"W4409110108","doi":"10.3390/w17071045","title":"A Spatial Multi-Criteria Decision-Making Approach to Evaluating Homogeneous Areas for Rainfed Wheat Yield Assessment","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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 Guelph","funders":"","keywords":"Yield (engineering); Homogeneous; Environmental science; Agricultural engineering; Agronomy; Agroforestry; Environmental resource management; Soil science; Mathematics; Engineering; Biology; Materials science","score_opus":0.032855650867565867,"score_gpt":0.340952130437979,"score_spread":0.30809647957041314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409110108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6972819,0.000009234117,0.29687572,0.00028646,0.00014436348,0.00043071827,0.000010042875,0.000027817347,0.004933737],"genre_scores_gemma":[0.94585097,5.8115575e-7,0.052463394,0.0005766803,0.000036199086,0.0001853343,0.000014210586,0.000008246559,0.00086437596],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870306,0.000056229477,0.0002497092,0.00043210175,0.00024129212,0.00031762497],"domain_scores_gemma":[0.9994046,0.00019311956,0.000017867644,0.00030338852,0.000017273902,0.00006375379],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006999064,0.0001322961,0.00019783824,0.00005558737,0.00023863699,0.00009841321,0.0002048942,0.00006149552,0.0013886845],"category_scores_gemma":[0.00019196572,0.00008688111,0.0001267399,0.00012288593,0.00003247485,0.00006873089,0.00024914488,0.000062274514,0.000054182136],"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":[0.00038630122,0.0009321199,0.22490181,0.000081561586,0.00018098431,0.0000075552416,0.004507437,0.03499506,0.04359609,0.000030498968,0.004203319,0.68617725],"study_design_scores_gemma":[0.0017602061,0.00026051476,0.13633516,0.00015296835,0.00027206173,0.000007759858,0.0009916216,0.8415638,0.0064381678,0.0041241357,0.0073612398,0.0007323361],"about_ca_topic_score_codex":0.000542117,"about_ca_topic_score_gemma":0.00077689625,"teacher_disagreement_score":0.80656874,"about_ca_system_score_codex":0.00012173444,"about_ca_system_score_gemma":0.0000110672245,"threshold_uncertainty_score":0.9995242},"labels":[],"label_agreement":null},{"id":"W4409187393","doi":"10.1007/s11098-025-02320-0","title":"Extension and replacement","year":2025,"lang":"en","type":"article","venue":"Philosophical Studies","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"McGill University; Massachusetts Institute of Technology; Princeton University","keywords":"Philosophy of language; Philosophy of mind; Extension (predicate logic); Metaphysics; Philosophy; Epistemology; Computer science; Programming language","score_opus":0.03323169345729558,"score_gpt":0.30411582804115106,"score_spread":0.27088413458385546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409187393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9064189,0.002154541,0.00004127394,0.0658512,0.00006977183,0.000079363585,7.1209456e-7,0.000035031513,0.025349196],"genre_scores_gemma":[0.99768573,0.00042567574,0.00009035082,0.001308617,0.000020344736,0.000011605652,4.227977e-7,0.0000014063456,0.00045587606],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940807,0.000027475979,0.00010955748,0.00024143582,0.00011322714,0.00010025516],"domain_scores_gemma":[0.9997139,0.00009763168,0.000012685651,0.00013853463,0.0000067101923,0.000030562285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001884522,0.0000657493,0.00013594358,0.000014384165,0.00016895005,0.000007500567,0.000046982263,0.000023591861,0.00016070006],"category_scores_gemma":[0.00018956487,0.000044421395,0.00003115064,0.00014425126,0.00023551495,0.000033225755,0.00029659749,0.000054155218,0.00004720154],"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":[0.00020216065,0.00032212137,0.8912666,0.000078819285,0.00043274276,0.000013563294,0.0010075644,0.00013654151,0.0006998726,0.030033939,0.011362048,0.06444405],"study_design_scores_gemma":[0.00034608733,0.00007105187,0.3374262,0.000022591985,0.00009157826,0.0000013662078,0.00026115915,0.0005633311,0.0000922742,0.6475103,0.01347355,0.00014050328],"about_ca_topic_score_codex":0.000047772744,"about_ca_topic_score_gemma":0.000040488376,"teacher_disagreement_score":0.6174764,"about_ca_system_score_codex":0.000039386945,"about_ca_system_score_gemma":0.0000011257239,"threshold_uncertainty_score":0.18114519},"labels":[],"label_agreement":null},{"id":"W4409449923","doi":"10.4000/13raq","title":"Évaluation comparative des algorithmes d'apprentissage automatique pour la classification des types de sols à partir de caractéristiques physico-chimiques : application de Random Forest, XGBoost, SVM et KNN","year":2025,"lang":"fr","type":"article","venue":"VertigO","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Random forest; Support vector machine; Computer science; Artificial intelligence; Forestry; Geography","score_opus":0.031200616277882152,"score_gpt":0.3102955914255297,"score_spread":0.27909497514764753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409449923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6266322,0.0010456572,0.36651635,0.0013612432,0.000028065642,0.00032503222,0.000025126039,0.000088053646,0.00397829],"genre_scores_gemma":[0.972789,0.0010649562,0.0241473,0.00022693815,0.000062329236,0.00035771035,0.00007900397,0.000016583725,0.0012561884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967419,0.00163007,0.00043386,0.00046523032,0.00023882148,0.0004901009],"domain_scores_gemma":[0.99837774,0.00086094264,0.00017789738,0.00033877254,0.00009773675,0.00014689092],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015682249,0.00028109286,0.00038671936,0.00008148343,0.00045311236,0.00023726346,0.00026698803,0.00023703575,0.00018443428],"category_scores_gemma":[0.00032837084,0.0002743814,0.00020012092,0.00043057906,0.0009070771,0.00051661977,0.0000801762,0.00025209927,0.000083546656],"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":[0.00016359873,0.0007411847,0.6568518,0.00024327255,0.00025615963,0.0000033165072,0.023955274,0.01185399,0.029149186,0.00858537,0.0025457751,0.26565105],"study_design_scores_gemma":[0.00040681034,0.00002742644,0.5373543,0.00012259789,0.0002361109,0.0000036594747,0.00084810646,0.3887215,0.016728066,0.05444624,0.0009390139,0.00016620517],"about_ca_topic_score_codex":0.005411578,"about_ca_topic_score_gemma":0.007571066,"teacher_disagreement_score":0.3768675,"about_ca_system_score_codex":0.00083753135,"about_ca_system_score_gemma":0.00029289306,"threshold_uncertainty_score":0.99997085},"labels":[],"label_agreement":null},{"id":"W4410169505","doi":"10.3389/fsoil.2025.1571243","title":"The extent and distribution of salt-affected soils in sub-Saharan Africa from 1970 to the present: a review of the current state of knowledge","year":2025,"lang":"en","type":"review","venue":"Frontiers in Soil Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Current (fluid); Soil water; Distribution (mathematics); State (computer science); Environmental science; Geography; Environmental protection; Earth science; Soil science; Geology; Mathematics; Oceanography","score_opus":0.013850626256650891,"score_gpt":0.27663629933723116,"score_spread":0.26278567308058026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410169505","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034277618,0.9944072,0.00014572653,0.00014532721,0.00039563526,0.001069945,0.00022049874,0.0000030724455,0.00018484305],"genre_scores_gemma":[0.004554866,0.99524003,0.000021490341,0.0000061581945,0.000008633613,0.000115202405,0.000011445515,0.00000394529,0.000038212384],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968872,0.00072547235,0.0008807947,0.0004982575,0.00066940975,0.00033887185],"domain_scores_gemma":[0.99818933,0.0004240544,0.00043501458,0.00084156997,0.0000395472,0.00007048245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031550592,0.00021655193,0.0009594406,0.00008501158,0.00016596328,0.00002195188,0.0016220906,0.000037817386,0.0000064313804],"category_scores_gemma":[0.0010807879,0.000098757395,0.00026893508,0.0039546234,0.0015967662,0.00008969622,0.0008622757,0.00028359875,0.000002550355],"study_design_candidate":"design_other","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":[0.000004419453,0.000081024744,0.0017241127,0.0041538347,0.000012646143,1.3234342e-7,0.00025818023,0.00006018916,0.000002132162,0.0000023345856,0.0029868907,0.9907141],"study_design_scores_gemma":[0.00019785414,0.000041889103,0.10582125,0.061785612,0.00044480816,4.9182614e-7,0.000036915586,0.0014610869,0.00004956179,0.00063944294,0.82920134,0.00031976108],"about_ca_topic_score_codex":0.0008315263,"about_ca_topic_score_gemma":0.0016874451,"teacher_disagreement_score":0.99039435,"about_ca_system_score_codex":0.00028924868,"about_ca_system_score_gemma":0.0002482681,"threshold_uncertainty_score":0.58833516},"labels":[],"label_agreement":null},{"id":"W4411618009","doi":"10.51847/wd1hpaeqsf","title":"10.51847/WD1hpAeqsf","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hierarchy; Regional science; Geography; Environmental planning; Land use; Business; Civil engineering; Political science; Engineering","score_opus":0.003880257922058741,"score_gpt":0.16001374032462654,"score_spread":0.1561334824025678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411618009","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04641847,0.0000073781507,4.1610238e-7,0.00032086825,7.144941e-7,0.00004788307,0.0000031230243,0.000045677854,0.95315546],"genre_scores_gemma":[0.006963485,1.9210646e-7,0.00006009424,0.00012834244,0.000024654717,0.0000072606745,0.0000046970727,0.0000056290896,0.99280566],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993319,0.000026941992,0.000097687356,0.00019533078,0.0001659863,0.00018215035],"domain_scores_gemma":[0.9996144,0.000023797627,0.000008501648,0.00023247843,0.0000022463903,0.00011852872],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012838205,0.000072995645,0.000095616895,0.000014821518,0.00007220279,0.000018581315,0.00016181206,0.00003096239,0.9995522],"category_scores_gemma":[0.000015553247,0.000060541694,0.00005862356,0.00023170895,0.000044856053,0.00007255699,0.000044288397,0.000040814568,0.99600136],"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":[0.000017464474,0.00003852211,0.00008753808,5.9277477e-7,0.0000058582796,0.0000019253705,0.000025702115,0.00081723277,0.000028799774,1.3215539e-7,0.01777432,0.9812019],"study_design_scores_gemma":[0.000065891734,0.000035300513,0.003916616,0.0000011024831,0.000011800151,0.000001502199,0.0000010872498,0.0006302449,0.000010750739,0.000006891267,0.9952189,0.00009993044],"about_ca_topic_score_codex":0.0002902272,"about_ca_topic_score_gemma":0.0000035939543,"teacher_disagreement_score":0.981102,"about_ca_system_score_codex":0.00003841715,"about_ca_system_score_gemma":0.0000023574755,"threshold_uncertainty_score":0.24688186},"labels":[],"label_agreement":null},{"id":"W4411618047","doi":"10.51847/bzvwgxytyy","title":"10.51847/BZVwgXYtYy","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nutrient; Agronomy; Biology; Environmental science; Chemistry; Ecology","score_opus":0.003902370841106988,"score_gpt":0.1600676216470585,"score_spread":0.15616525080595153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411618047","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06662946,0.0000074436193,3.261894e-7,0.0003094289,6.7047404e-7,0.000045399214,0.0000030605406,0.000042864587,0.93296134],"genre_scores_gemma":[0.008469736,2.0585306e-7,0.00005745178,0.00013523237,0.000023862925,0.000006782507,0.000004567204,0.0000055810656,0.9912966],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935573,0.000025271225,0.000094694835,0.00019164856,0.00015543734,0.0001771912],"domain_scores_gemma":[0.9996325,0.000021661519,0.000007802244,0.0002239076,0.000002145795,0.000112010035],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011800996,0.00007131991,0.00009327797,0.000014292179,0.000071141774,0.000017963748,0.00016177003,0.00003040376,0.9995331],"category_scores_gemma":[0.000014132499,0.000059186325,0.00005690252,0.00021538604,0.000044376215,0.00007055429,0.000042292682,0.000039887756,0.99578357],"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":[0.000017446777,0.00003768207,0.00007910266,5.587256e-7,0.000005746173,0.0000017467815,0.000029089255,0.00084481563,0.000048928676,1.0846848e-7,0.015732558,0.9832022],"study_design_scores_gemma":[0.00006384984,0.000033899607,0.003239396,0.0000010806698,0.000011172114,0.0000016041138,0.0000012657796,0.00068469427,0.000012044162,0.000005767049,0.99585044,0.000094812036],"about_ca_topic_score_codex":0.00030126382,"about_ca_topic_score_gemma":0.0000034256334,"teacher_disagreement_score":0.9831074,"about_ca_system_score_codex":0.000039290953,"about_ca_system_score_gemma":0.0000022814222,"threshold_uncertainty_score":0.24135484},"labels":[],"label_agreement":null},{"id":"W4413332857","doi":"10.29313/bcsurp.v5i2.20396","title":"Identifikasi Faktor yang Berpengaruh dalam Transformasi Nilai Lahan di SWK Gedebage","year":2025,"lang":"en","type":"article","venue":"Bandung Conference Series Urban & Regional Planning","topic":"Soil and Land Suitability Analysis","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":"Encana (Canada)","funders":"","keywords":"Forestry; Geography","score_opus":0.017441160351494515,"score_gpt":0.24265863287480205,"score_spread":0.22521747252330754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413332857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415203,0.0004071004,0.0029939068,0.0023702497,0.00030932197,0.00029456598,0.0000160312,0.00018726963,0.051901262],"genre_scores_gemma":[0.9720976,0.00005826394,0.00022298931,0.00037282717,0.000077077195,0.000045935347,0.00011908518,0.000016067392,0.026990192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977383,0.00011565712,0.00046438968,0.0006210085,0.0005050495,0.0005556058],"domain_scores_gemma":[0.99913365,0.000144615,0.00010188633,0.00040883035,0.00004045405,0.00017059402],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040193967,0.00033370906,0.00040752254,0.00010804442,0.0006174935,0.00023709492,0.0005347548,0.00017549648,0.00084665226],"category_scores_gemma":[0.000070917245,0.00029412715,0.00022240632,0.00048459557,0.00043889068,0.0009300743,0.0001572401,0.00036414366,0.00007885859],"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":[0.00030204828,0.00016260591,0.9508314,0.00010911487,0.00021240399,0.00007191959,0.0069559817,0.0007813111,0.0058152145,0.010026164,0.012689603,0.012042229],"study_design_scores_gemma":[0.0009877202,0.0001373559,0.7759386,0.00033976254,0.00022039383,0.000034876608,0.00533524,0.0018878916,0.003844883,0.0033600084,0.20697497,0.00093834265],"about_ca_topic_score_codex":0.0005462818,"about_ca_topic_score_gemma":0.00078961323,"teacher_disagreement_score":0.19428536,"about_ca_system_score_codex":0.0001453567,"about_ca_system_score_gemma":0.000069624584,"threshold_uncertainty_score":0.99995106},"labels":[],"label_agreement":null},{"id":"W4413728917","doi":"10.64628/aam.cgyh3aca7","title":"How to fight desertification and drought at home and away","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Desertification; Geography; Political science; Environmental planning; Water resource management; Environmental science; Ecology; Biology","score_opus":0.016093783866977938,"score_gpt":0.22068188657947874,"score_spread":0.2045881027125008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413728917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98793083,0.00008134904,0.00050781365,0.005251363,0.000057200326,0.00015184008,0.000009810145,0.000028153805,0.0059816455],"genre_scores_gemma":[0.97558177,0.00008061293,0.0012840092,0.0002921353,0.000045359193,0.000029301957,0.000025433275,0.0000069673774,0.022654427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898106,0.000035904988,0.00011181673,0.000549816,0.00017310376,0.00014830072],"domain_scores_gemma":[0.9993861,0.000036215737,0.000037767575,0.0003845154,0.000007724594,0.00014768993],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019650525,0.00013645858,0.00017194133,0.000029527495,0.0001219339,0.00013165943,0.00013771598,0.00013357999,0.001868676],"category_scores_gemma":[0.00003938928,0.0000990844,0.00003908463,0.000089356974,0.00014703158,0.000079929574,0.0010886892,0.00008155526,0.00019100143],"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":[0.000040157018,0.000071740076,0.9404202,0.000085830405,0.0000635707,0.0000025652082,0.0019002932,0.00008999858,0.0017807083,0.00006526829,0.019844165,0.035635486],"study_design_scores_gemma":[0.00013305547,0.000049103703,0.925125,0.000016977494,0.00007847531,0.0000047070275,0.00013834515,0.0030331803,0.0018487598,0.0048252824,0.06427866,0.00046843756],"about_ca_topic_score_codex":0.00059663766,"about_ca_topic_score_gemma":0.0024013377,"teacher_disagreement_score":0.0444345,"about_ca_system_score_codex":0.00009516179,"about_ca_system_score_gemma":0.0000032023277,"threshold_uncertainty_score":0.99904376},"labels":[],"label_agreement":null},{"id":"W4414526018","doi":"10.1007/978-3-031-86866-5_29","title":"The Use of Multicriteria Analysis, GIS and Statistics to Estimate Soil Erosion","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Erosion; WEPP; Hazard; Pairwise comparison; Soil map; Precipitation; Geographic information system; Ranking (information retrieval); Hydrology (agriculture)","score_opus":0.020730021426908853,"score_gpt":0.26191633448468915,"score_spread":0.2411863130577803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414526018","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09202735,0.0010160701,0.23715353,0.004485841,0.000855692,0.0027767513,0.0058560157,0.00030089504,0.65552783],"genre_scores_gemma":[0.01377063,0.00041456535,0.022598945,0.00027051702,0.00001081371,0.00000760738,0.00011515857,0.000014753266,0.962797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998966,0.000022499471,0.00031663346,0.00030991057,0.00024872896,0.00013625248],"domain_scores_gemma":[0.9989989,0.0003987458,0.00008119652,0.0004166349,0.000019777588,0.00008479276],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017562132,0.00016699408,0.0003390478,0.000070863665,0.00014010178,0.00007131894,0.00014862968,0.00009506225,0.0020470982],"category_scores_gemma":[0.000099894845,0.000102482656,0.000117136755,0.000108873195,0.00021032977,0.000044746834,0.0003049654,0.00008390529,0.000041100702],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036617683,0.00023057988,0.21193893,0.00030303447,0.005098024,0.000032783315,0.0015349584,0.042949267,0.0015030082,0.056019608,0.12362712,0.5563965],"study_design_scores_gemma":[0.0005078952,0.00022962643,0.15783487,0.00014580057,0.009379226,0.0000018548111,0.000070822,0.26963416,0.0002894486,0.015044191,0.54552233,0.0013397592],"about_ca_topic_score_codex":0.0031075852,"about_ca_topic_score_gemma":0.02209329,"teacher_disagreement_score":0.55505675,"about_ca_system_score_codex":0.000041112413,"about_ca_system_score_gemma":0.0000072964917,"threshold_uncertainty_score":0.9988652},"labels":[],"label_agreement":null},{"id":"W4415463755","doi":"10.3390/drones9110734","title":"Natural Disaster Information System (NDIS) for RPAS Mission Planning","year":2025,"lang":"en","type":"article","venue":"Drones","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Queen's University","funders":"","keywords":"Payload (computing); Geospatial analysis; Workflow; Natural disaster; Exploit; Natural hazard; Hazard; Earth observation; Cloud computing","score_opus":0.006002595941780806,"score_gpt":0.2362277698560952,"score_spread":0.2302251739143144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415463755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97927076,0.00005072267,0.004821249,0.0006943239,0.00025982718,0.00014678815,0.0000057502853,0.000051603583,0.014698955],"genre_scores_gemma":[0.9985169,3.814539e-7,0.0001543476,0.0001976584,0.000014140829,0.000011117336,0.000025995174,0.0000013462945,0.0010781185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995954,0.000012534021,0.00012229675,0.00008190291,0.000086296815,0.0001015611],"domain_scores_gemma":[0.9998125,0.000038766557,0.00002681162,0.00009508231,0.0000055040673,0.000021366508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010675795,0.000052349482,0.00007554021,0.00002631628,0.00012609309,0.000031259096,0.00007683385,0.00003059201,0.00007074235],"category_scores_gemma":[0.000033042386,0.000037406207,0.00004895718,0.00010422798,0.000023704315,0.00027332216,0.00004251206,0.00003092557,0.00007519884],"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":[0.00027382004,0.00007029091,0.8416749,0.00058555836,0.00009529411,0.0000018141005,0.011224107,0.009944872,0.00096592883,0.0022867813,0.031083403,0.101793185],"study_design_scores_gemma":[0.00127572,0.000060877563,0.53839546,0.00023244294,0.00014669547,0.000003974056,0.017435392,0.23488684,0.0012357461,0.001147916,0.20473337,0.00044552193],"about_ca_topic_score_codex":0.00008460074,"about_ca_topic_score_gemma":0.0000133545445,"teacher_disagreement_score":0.30327946,"about_ca_system_score_codex":0.000062723695,"about_ca_system_score_gemma":0.0000029178796,"threshold_uncertainty_score":0.15253809},"labels":[],"label_agreement":null},{"id":"W4417213104","doi":"10.18280/ijsdp.201027","title":"A GIS-FAHP Framework for Prioritizing Sustainable Urban Infrastructure: Evidence from Medan, Indonesia","year":2025,"lang":"","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Sustainable development; Urban planning; Urban sustainability","score_opus":0.012097640081817341,"score_gpt":0.27261730861161654,"score_spread":0.2605196685297992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417213104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93193775,0.008719221,0.055836573,0.0019218592,0.00090261066,0.00037089156,0.000009326784,0.000012711277,0.00028903753],"genre_scores_gemma":[0.97592527,0.0004470956,0.020399125,0.00041222663,0.00045638788,0.000020712348,0.000012757168,0.000017958531,0.0023084655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99630034,0.00011448281,0.0013034414,0.000513532,0.00097512844,0.0007930654],"domain_scores_gemma":[0.9962566,0.0016081065,0.00076427445,0.00018520298,0.00094733963,0.00023845748],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020517223,0.00039304182,0.0006201221,0.00065619615,0.000697758,0.00078164926,0.0009741132,0.00030050994,0.0002684906],"category_scores_gemma":[0.0021659127,0.00036287002,0.00021742306,0.0006570921,0.00020282913,0.0014698752,0.0006449933,0.00064714643,0.0000028878312],"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":[0.0018108016,0.0001528409,0.872234,0.000466196,0.0018604351,0.0029851885,0.058272038,0.0033911737,0.0001009432,0.007898824,0.0030436444,0.0477839],"study_design_scores_gemma":[0.0017741384,0.00014539101,0.6598559,0.002952929,0.0004032063,0.000057174555,0.22281145,0.0017453382,0.0011549755,0.05376112,0.054665517,0.0006728757],"about_ca_topic_score_codex":0.00030502188,"about_ca_topic_score_gemma":0.000011428401,"teacher_disagreement_score":0.21237811,"about_ca_system_score_codex":0.0015226975,"about_ca_system_score_gemma":0.0009294877,"threshold_uncertainty_score":0.99988234},"labels":[],"label_agreement":null},{"id":"W4417227253","doi":"10.18280/ijdne.201006","title":"Spatial Analysis of Land Suitability for Livestock Farming in East Java Using GIS and DEM-Based Environmental Modeling","year":2025,"lang":"","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Livestock; Java; Agriculture; Geographic information system; Spatial analysis; Land use","score_opus":0.01383961225331751,"score_gpt":0.25879772040486876,"score_spread":0.24495810815155125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417227253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74268275,0.001204083,0.25536403,0.00024828402,0.00019200241,0.00015120763,0.00014481202,0.0000013831834,0.000011421102],"genre_scores_gemma":[0.9926485,0.00036961472,0.0067979656,0.00009794604,0.000046657537,0.0000021225203,0.000018519306,0.000008960668,0.0000097500615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764794,0.00015366137,0.0010717069,0.0003862977,0.00049439684,0.00024599733],"domain_scores_gemma":[0.9986408,0.0005097317,0.00050573034,0.0001492954,0.000086263564,0.00010819558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014282174,0.0002442371,0.00068168517,0.0008534026,0.00011399158,0.000086169006,0.0003504702,0.000318112,0.000081092556],"category_scores_gemma":[0.00021388488,0.0002257596,0.0003741525,0.00045728462,0.00021805438,0.0003187001,0.00013596818,0.00048032787,1.4346212e-7],"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":[0.00057593134,0.00023826388,0.48659304,0.000027665303,0.0010122209,0.0000073088872,0.00036501643,0.49844497,0.0008888168,0.000017274668,5.765827e-7,0.0118289245],"study_design_scores_gemma":[0.0010957732,0.00011558552,0.14614576,0.00011008884,0.0014887882,0.000008276857,0.00043682338,0.84942585,0.0000731673,0.0009346731,0.00000768012,0.000157524],"about_ca_topic_score_codex":0.00066398294,"about_ca_topic_score_gemma":0.0018825,"teacher_disagreement_score":0.3509809,"about_ca_system_score_codex":0.00045837575,"about_ca_system_score_gemma":0.00010211192,"threshold_uncertainty_score":0.9206209},"labels":[],"label_agreement":null},{"id":"W6901750877","doi":"10.60692/qhnhd-2ss98","title":"SITE SUITABILITY ANALYSIS OF SALT FARMS IN PANGASINAN USING GEOSPATIAL DATA AND ANALYTIC HIERARCHY PROCESS","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Geospatial analysis; Analytic hierarchy process; Production (economics); Hydrology (agriculture); Land use; Terrain; Agriculture; Agricultural productivity; Salt pan","score_opus":0.036223894685580856,"score_gpt":0.2536656543874947,"score_spread":0.21744175970191387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901750877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99392223,0.000010389773,0.0052287728,0.000018352135,0.000037770227,0.00014388106,0.00035091824,0.00003851128,0.00024916657],"genre_scores_gemma":[0.9997623,2.6512495e-7,0.00008788411,0.000013989093,0.000008913709,0.0000061594983,0.00010942949,0.000003609829,0.0000074575214],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845743,0.000084993786,0.00064735016,0.00028451282,0.00034000824,0.00018572905],"domain_scores_gemma":[0.999237,0.000022333508,0.00012302221,0.0005322898,0.000020749108,0.000064583684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010524151,0.00012439238,0.00034941407,0.00043190952,0.00006159947,0.00011808521,0.00020102486,0.00006591706,0.00011966054],"category_scores_gemma":[0.00003914652,0.0000936506,0.00007909862,0.001926883,0.00009056212,0.001071643,0.0001990622,0.00008074834,0.000038510418],"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":[0.000014490235,0.0000028585569,0.9476769,0.00029864546,0.00010852414,0.000001905151,0.041200493,0.009533924,0.0000016889304,0.0000027433484,9.613458e-7,0.0011568565],"study_design_scores_gemma":[0.00008552563,0.000006534929,0.45079926,0.000028415778,0.00029573427,0.0000025758688,0.0041077547,0.54458135,0.000009749066,0.0000025409533,0.0000090774665,0.00007146021],"about_ca_topic_score_codex":0.0012174044,"about_ca_topic_score_gemma":0.00022924207,"teacher_disagreement_score":0.5350475,"about_ca_system_score_codex":0.00014529716,"about_ca_system_score_gemma":0.000019095784,"threshold_uncertainty_score":0.38189605},"labels":[],"label_agreement":null},{"id":"W6912117780","doi":"10.5281/zenodo.15073256","title":"Baseline high-resolution maps of soil nutrients in Morocco to support sustainable agriculture [Data and Scripts]","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Baseline (sea); Agriculture; Sustainable agriculture; Sustainability; Nutrient; Crop production","score_opus":0.015285263225956337,"score_gpt":0.2250070898950489,"score_spread":0.20972182666909256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912117780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92699265,0.000103486724,0.0040576654,0.003647277,0.000066087145,0.00076994835,0.00068342517,0.00020847553,0.063470975],"genre_scores_gemma":[0.99403274,0.000044400305,0.00015312945,0.00016610723,0.000014693543,5.450074e-8,0.0016695469,0.00008019363,0.003839151],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876493,0.00017855862,0.00020877294,0.00036637048,0.00023625807,0.00024508766],"domain_scores_gemma":[0.9993647,0.000015411166,0.00003946969,0.000403119,0.00008573275,0.00009161479],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00095333986,0.000079405516,0.00012628485,0.00013752992,0.000468057,0.000120135344,0.0006329786,0.000043498538,0.0046599926],"category_scores_gemma":[0.0006141213,0.00007066236,0.000017718938,0.0010312475,0.00010275717,0.00024777965,0.002198438,0.00010618731,0.0005239099],"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":[0.00021152144,0.0006139754,0.005340438,0.0001871807,0.00004476779,0.000022651793,0.0016588953,0.002910319,0.0035215237,0.002204884,0.90982246,0.073461406],"study_design_scores_gemma":[0.0005493078,0.00012419089,0.02739811,0.000020235444,0.000021857677,0.0000050564936,0.0014482453,0.0020700393,0.00038644392,0.00048732047,0.96736944,0.000119786135],"about_ca_topic_score_codex":0.0010743374,"about_ca_topic_score_gemma":0.000038946637,"teacher_disagreement_score":0.073341615,"about_ca_system_score_codex":0.00014216715,"about_ca_system_score_gemma":0.0000023868943,"threshold_uncertainty_score":0.99624985},"labels":[],"label_agreement":null},{"id":"W6920383506","doi":"10.60692/tmq13-66j81","title":"Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Soil and Land Suitability Analysis","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":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Vegetation (pathology); Phenology; Soil map; Normalized Difference Vegetation Index; Agriculture; Digital soil mapping; Soil water; Time series; Food security; Hydrology (agriculture)","score_opus":0.06108946747064718,"score_gpt":0.23171857496334936,"score_spread":0.17062910749270216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920383506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929134,0.000005035197,0.0059026405,0.000029356594,0.00008295187,0.0004197346,0.00019571955,0.00012080544,0.0003303337],"genre_scores_gemma":[0.9996488,1.6796285e-7,0.00016555403,0.000019345092,0.00002075844,0.000028157592,0.00010459367,0.0000044160606,0.000008173263],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792624,0.00018261354,0.0010104205,0.00026281516,0.00039444544,0.00022349808],"domain_scores_gemma":[0.998872,0.00003238564,0.00021797055,0.0007773287,0.00003214554,0.000068206005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007487964,0.00018833397,0.00035073442,0.00019055791,0.00013661482,0.00021381106,0.00031195433,0.00011941794,0.00015575373],"category_scores_gemma":[0.00005934588,0.00014556311,0.00006233151,0.0006458449,0.00008230769,0.004351209,0.00047191756,0.00013870794,0.00025282818],"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":[0.000053247102,0.000018377448,0.7328594,0.00020946424,0.000065789005,0.00008936287,0.2562167,0.00931916,0.0000070109154,0.000001326598,0.00001286279,0.0011473035],"study_design_scores_gemma":[0.00072326645,0.00006158354,0.14297673,0.00012651739,0.00007946221,0.00035135113,0.30123568,0.5540822,0.00004542237,0.0000072764888,0.000040281764,0.00027019385],"about_ca_topic_score_codex":0.005671715,"about_ca_topic_score_gemma":0.00013728223,"teacher_disagreement_score":0.5898827,"about_ca_system_score_codex":0.00028984612,"about_ca_system_score_gemma":0.000025938421,"threshold_uncertainty_score":0.8573974},"labels":[],"label_agreement":null},{"id":"W6930316249","doi":"10.5281/zenodo.12201485","title":"definition of politics pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Politics; Ideology; Subject (documents); Normative; Meaning (existential); Public domain; Original meaning; Political communication","score_opus":0.02599296753597361,"score_gpt":0.22468304972453948,"score_spread":0.19869008218856588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930316249","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026494206,0.00010114223,0.00018626484,0.00013951478,0.00005415286,0.00011387812,0.00023497173,0.000286418,0.9986187],"genre_scores_gemma":[0.028967736,0.00025760353,0.0007188017,0.00013161192,0.00024805684,3.9500563e-8,0.0023792183,0.0061199963,0.96117693],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889004,0.00012546258,0.00016930926,0.00030249334,0.00031697104,0.00019573615],"domain_scores_gemma":[0.9994634,0.000008675376,0.00007627656,0.00033681767,0.000026463224,0.00008837546],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026050335,0.00011223,0.00014992956,0.00014923968,0.0002376085,0.00012798255,0.0004562244,0.00010091063,0.48163798],"category_scores_gemma":[0.00014756233,0.00010642711,0.00007834997,0.00038021398,0.00022997391,0.000041107887,0.00068704924,0.00016420489,0.18926264],"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":[0.0000032111263,0.000057779827,0.0000068540603,0.00010301849,0.00004195719,0.0000043581886,0.00021387517,0.000003119203,0.00008252907,0.002973255,0.9905104,0.005999639],"study_design_scores_gemma":[0.00007766132,0.00004970162,0.00009432716,0.000042958192,0.000044754444,0.00001167973,0.000088910114,0.000030739655,0.000018274977,0.0030834835,0.99634546,0.000112020134],"about_ca_topic_score_codex":0.00024672956,"about_ca_topic_score_gemma":0.0000038827275,"teacher_disagreement_score":0.29237533,"about_ca_system_score_codex":0.00009754108,"about_ca_system_score_gemma":8.98663e-7,"threshold_uncertainty_score":0.8113686},"labels":[],"label_agreement":null},{"id":"W6931638587","doi":"10.5281/zenodo.7410159","title":"Diving through the darkness; Species information is vital for effective marine conservation [Senckenberg Policy Brief - Appeal to Montreal]","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Convention on Biological Diversity; Biodiversity; Threatened species; Marine biodiversity; Marine conservation; Ecosystem; Marine ecosystem; Global biodiversity; Extinction (optical mineralogy)","score_opus":0.013459335079488655,"score_gpt":0.21875915179128996,"score_spread":0.2052998167118013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931638587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50552845,0.000018315133,0.02940059,0.0447093,0.00020772088,0.0036217952,0.0015331077,0.0007049003,0.41427583],"genre_scores_gemma":[0.99506867,0.000007820121,0.000109897905,0.0022666624,0.0000886396,0.0000016978988,0.0011347424,0.00016376658,0.0011581305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986018,0.00025019445,0.00020932575,0.0002415532,0.00043049376,0.0002666526],"domain_scores_gemma":[0.9993834,0.00007670283,0.00008622824,0.00030937613,0.00007075744,0.00007351982],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006624835,0.00010457823,0.00010974065,0.00008223996,0.00352426,0.00037580144,0.00059483014,0.000022587381,0.01496117],"category_scores_gemma":[0.00059484085,0.00008927412,0.00006844136,0.0008578957,0.00013218954,0.0005444208,0.0020442905,0.00014113773,0.0010760473],"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":[0.0004249374,0.00026884358,0.0016356934,0.000064899796,0.00012535402,0.0000027531582,0.03920695,0.007568964,0.0010063628,0.008451956,0.49127012,0.44997317],"study_design_scores_gemma":[0.0003229603,0.00019738279,0.05147047,0.000002420833,0.00001599501,0.000014298052,0.0015653376,0.0019100566,0.000090394555,0.0013815966,0.9429089,0.00012020612],"about_ca_topic_score_codex":0.0026828083,"about_ca_topic_score_gemma":0.000035346027,"teacher_disagreement_score":0.4895402,"about_ca_system_score_codex":0.00038490264,"about_ca_system_score_gemma":0.0000031500247,"threshold_uncertainty_score":0.99970174},"labels":[],"label_agreement":null},{"id":"W6957713461","doi":"10.60692/mwjqz-ypz49","title":"Agricultural Land Suitability Assessment towards Promoting Community Crop Production in Tolon-Ghana","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Soil and Land Suitability Analysis","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":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Sustainability; Agriculture; Soil fertility; Crop yield; Agricultural productivity; Land degradation; Land use; Sustainable agriculture","score_opus":0.026037458605156646,"score_gpt":0.22142732293985784,"score_spread":0.19538986433470118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957713461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942988,6.4055e-7,0.00007191376,0.00020311878,0.00017055389,0.0003701643,0.000031092906,0.00007968652,0.004774012],"genre_scores_gemma":[0.9995948,1.600138e-8,0.000063316555,0.000035708592,0.000017586666,0.00016524809,0.000050201266,0.0000029044368,0.000070225964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980612,0.00060180563,0.00049664825,0.000152707,0.00046560197,0.0002220426],"domain_scores_gemma":[0.9993926,0.0000085464535,0.00017933924,0.00034178988,0.00002345609,0.0000542524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002134466,0.00012250966,0.00019351543,0.00007309401,0.00063973473,0.00008164363,0.00022460135,0.000037784426,0.00033357675],"category_scores_gemma":[0.00004179006,0.000091264366,0.00006862854,0.00052468764,0.000041784147,0.00065249676,0.00032493818,0.00031319694,0.000082495724],"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":[0.000012435432,0.000014530055,0.9135365,0.00007250683,0.000008028579,4.831679e-7,0.0816551,0.0036495386,0.0000022203003,0.0000019235029,0.000023459215,0.0010232788],"study_design_scores_gemma":[0.00025471463,0.000040197683,0.93413484,0.000009504537,0.000011237543,0.000016941161,0.062292065,0.0029929166,0.00006463619,0.0000016941714,0.000060845796,0.00012040811],"about_ca_topic_score_codex":0.0017974686,"about_ca_topic_score_gemma":0.00009945879,"teacher_disagreement_score":0.020598345,"about_ca_system_score_codex":0.0009279649,"about_ca_system_score_gemma":0.000016030239,"threshold_uncertainty_score":0.49203867},"labels":[],"label_agreement":null},{"id":"W6958818914","doi":"10.60692/szzjc-cqy39","title":"SITE SUITABILITY ANALYSIS OF SALT FARMS IN PANGASINAN USING GEOSPATIAL DATA AND ANALYTIC HIERARCHY PROCESS","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Geospatial analysis; Analytic hierarchy process; Production (economics); Hydrology (agriculture); Land use; Terrain; Agriculture; Agricultural productivity; Salt pan","score_opus":0.036223894685580856,"score_gpt":0.2536656543874947,"score_spread":0.21744175970191387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958818914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99392223,0.000010389773,0.0052287728,0.000018352135,0.000037770227,0.00014388106,0.00035091824,0.00003851128,0.00024916657],"genre_scores_gemma":[0.9997623,2.6512495e-7,0.00008788411,0.000013989093,0.000008913709,0.0000061594983,0.00010942949,0.000003609829,0.0000074575214],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845743,0.000084993786,0.00064735016,0.00028451282,0.00034000824,0.00018572905],"domain_scores_gemma":[0.999237,0.000022333508,0.00012302221,0.0005322898,0.000020749108,0.000064583684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010524151,0.00012439238,0.00034941407,0.00043190952,0.00006159947,0.00011808521,0.00020102486,0.00006591706,0.00011966054],"category_scores_gemma":[0.00003914652,0.0000936506,0.00007909862,0.001926883,0.00009056212,0.001071643,0.0001990622,0.00008074834,0.000038510418],"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":[0.000014490235,0.0000028585569,0.9476769,0.00029864546,0.00010852414,0.000001905151,0.041200493,0.009533924,0.0000016889304,0.0000027433484,9.613458e-7,0.0011568565],"study_design_scores_gemma":[0.00008552563,0.000006534929,0.45079926,0.000028415778,0.00029573427,0.0000025758688,0.0041077547,0.54458135,0.000009749066,0.0000025409533,0.0000090774665,0.00007146021],"about_ca_topic_score_codex":0.0012174044,"about_ca_topic_score_gemma":0.00022924207,"teacher_disagreement_score":0.5350475,"about_ca_system_score_codex":0.00014529716,"about_ca_system_score_gemma":0.000019095784,"threshold_uncertainty_score":0.38189605},"labels":[],"label_agreement":null},{"id":"W6977255522","doi":"10.60692/6nzcj-91h76","title":"Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Soil and Land Suitability Analysis","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":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Vegetation (pathology); Phenology; Soil map; Normalized Difference Vegetation Index; Agriculture; Digital soil mapping; Soil water; Time series; Food security; Hydrology (agriculture)","score_opus":0.06108946747064718,"score_gpt":0.23171857496334936,"score_spread":0.17062910749270216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977255522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929134,0.000005035197,0.0059026405,0.000029356594,0.00008295187,0.0004197346,0.00019571955,0.00012080544,0.0003303337],"genre_scores_gemma":[0.9996488,1.6796285e-7,0.00016555403,0.000019345092,0.00002075844,0.000028157592,0.00010459367,0.0000044160606,0.000008173263],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792624,0.00018261354,0.0010104205,0.00026281516,0.00039444544,0.00022349808],"domain_scores_gemma":[0.998872,0.00003238564,0.00021797055,0.0007773287,0.00003214554,0.000068206005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007487964,0.00018833397,0.00035073442,0.00019055791,0.00013661482,0.00021381106,0.00031195433,0.00011941794,0.00015575373],"category_scores_gemma":[0.00005934588,0.00014556311,0.00006233151,0.0006458449,0.00008230769,0.004351209,0.00047191756,0.00013870794,0.00025282818],"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":[0.000053247102,0.000018377448,0.7328594,0.00020946424,0.000065789005,0.00008936287,0.2562167,0.00931916,0.0000070109154,0.000001326598,0.00001286279,0.0011473035],"study_design_scores_gemma":[0.00072326645,0.00006158354,0.14297673,0.00012651739,0.00007946221,0.00035135113,0.30123568,0.5540822,0.00004542237,0.0000072764888,0.000040281764,0.00027019385],"about_ca_topic_score_codex":0.005671715,"about_ca_topic_score_gemma":0.00013728223,"teacher_disagreement_score":0.5898827,"about_ca_system_score_codex":0.00028984612,"about_ca_system_score_gemma":0.000025938421,"threshold_uncertainty_score":0.8573974},"labels":[],"label_agreement":null},{"id":"W6986881334","doi":"","title":"Remote sensing of crop inventories and crop model simulations for irrigation management along the Guyana coastal plains","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Global Affairs Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; Government of Canada; Macdonald Stewart Foundation","keywords":"Irrigation; Crop; Coastal plain; Crop management; Irrigation management; Crop production; Agriculture","score_opus":0.022676801833055094,"score_gpt":0.2524860084643384,"score_spread":0.2298092066312833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986881334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874333,0.000027536666,0.000037465474,0.000039721024,0.00023321158,0.00070289144,0.00082808203,0.00007883715,0.010618961],"genre_scores_gemma":[0.9901854,0.000060298305,0.002031285,0.00006378239,0.000017114971,0.000011945582,0.0010051096,0.00007020263,0.006554905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974799,0.00014707047,0.0006683291,0.0006808243,0.0006390716,0.0003847664],"domain_scores_gemma":[0.9985748,0.0003198918,0.0003756511,0.0005177105,0.000089679255,0.00012224785],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007980908,0.000366545,0.00041647785,0.00014721429,0.0014198463,0.00007375167,0.00029090443,0.00026772486,0.00006752127],"category_scores_gemma":[0.0003401044,0.0003098044,0.0002526798,0.0005707547,0.00017364936,0.00034208884,0.00019215539,0.0003435613,0.000023119179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060429913,0.00021921676,0.0012248127,0.0015455396,0.0012196025,0.00002817186,0.00077613327,0.31240958,0.014225088,0.023885952,0.00004480887,0.64381677],"study_design_scores_gemma":[0.0018151538,0.00016847922,0.020966968,0.0005582404,0.002021604,0.000008477644,0.0047876504,0.6550727,0.010634134,0.2971405,0.0051700636,0.001656046],"about_ca_topic_score_codex":0.004564702,"about_ca_topic_score_gemma":0.078183815,"teacher_disagreement_score":0.6421608,"about_ca_system_score_codex":0.00025324844,"about_ca_system_score_gemma":0.000011598566,"threshold_uncertainty_score":0.9999354},"labels":[],"label_agreement":null},{"id":"W6998406356","doi":"","title":"ACC Nation (weekend of June 16)","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Basketball; Miami; Football; League; Stadium; Sound (geography)","score_opus":0.004757907485798347,"score_gpt":0.169902635973087,"score_spread":0.16514472848728864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998406356","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029675153,0.00009367197,0.0000010805004,0.00010509665,0.00012785495,0.00017649414,0.00008497727,0.00005506719,0.999059],"genre_scores_gemma":[0.0049005495,0.00006728811,0.00031740064,0.000067110406,0.00005969008,0.0000063451093,0.00021673314,0.000042092637,0.9943228],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998531,0.00005350097,0.0005574306,0.00017227538,0.00049944135,0.00018637678],"domain_scores_gemma":[0.9990291,0.00006377218,0.000512437,0.00030824437,0.000027968908,0.000058452326],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021938274,0.00020859485,0.00035451408,0.000054564025,0.00003817493,0.000015882437,0.00026107155,0.0002751247,0.59150076],"category_scores_gemma":[0.000064220505,0.00018893775,0.00018079359,0.000016238657,0.00019341976,2.457986e-7,0.00009091292,0.00012723201,0.0067260847],"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":[0.000019743213,0.000060457944,0.00013294324,0.00014355083,0.000032329004,0.000001510399,0.000052431762,0.0008566927,4.964869e-7,0.0000060120765,0.9957502,0.0029436445],"study_design_scores_gemma":[0.0002412421,0.000040458068,0.00017181809,0.000049045353,0.0000642454,0.000005829838,0.000046110097,0.000040114304,0.00001727175,0.000025768628,0.99910563,0.00019247543],"about_ca_topic_score_codex":0.045765396,"about_ca_topic_score_gemma":0.02930468,"teacher_disagreement_score":0.5847747,"about_ca_system_score_codex":0.00007620562,"about_ca_system_score_gemma":0.0000073949427,"threshold_uncertainty_score":0.9940473},"labels":[],"label_agreement":null},{"id":"W7001658105","doi":"","title":"Land Suitability Assessments for Maize Production in Ontario, Canada, using a Weighted Overlay Method and Random Forest Algorithm","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Soil and Land Suitability Analysis","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":"Production (economics); Overlay; Agriculture; Random forest; Agricultural productivity; Growing season; Climate change","score_opus":0.013175883520088999,"score_gpt":0.2428750253034168,"score_spread":0.22969914178332781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001658105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974534,0.000049136375,0.0010815768,0.00014277705,0.00019720921,0.0005541678,0.00006606238,0.0000060882385,0.0004496114],"genre_scores_gemma":[0.98812264,0.00001800726,0.0049792808,0.000011986966,0.000016701366,0.0000033763142,0.0004159483,0.000010030208,0.0064220526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862504,0.00022362209,0.00017463819,0.00040782243,0.00036622534,0.00020265115],"domain_scores_gemma":[0.9992257,0.00021613385,0.00020928515,0.00027131816,0.000026643778,0.000050920684],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009950933,0.0001550481,0.00037506883,0.000064148786,0.00038683973,0.000010902093,0.0002585517,0.00009222077,0.0017217497],"category_scores_gemma":[0.000036616453,0.00014359108,0.00012434326,0.00027970233,0.00007094379,0.00014953366,0.00011344275,0.00025331866,5.822848e-7],"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":[0.0023949598,0.00021378814,0.9588417,0.00020163468,0.00034345972,0.00001624833,0.00746266,0.0075148083,0.0015912508,0.00000992695,0.0010742259,0.02033533],"study_design_scores_gemma":[0.0011296562,0.00004477579,0.9744584,0.0000113767455,0.00036851608,0.0000026747587,0.0070249685,0.0140635,0.000013223525,0.0006905982,0.0020066677,0.00018563298],"about_ca_topic_score_codex":0.9905822,"about_ca_topic_score_gemma":0.9986491,"teacher_disagreement_score":0.020149697,"about_ca_system_score_codex":0.0013335381,"about_ca_system_score_gemma":0.00029183362,"threshold_uncertainty_score":0.9991908},"labels":[],"label_agreement":null},{"id":"W7017465379","doi":"","title":"An Application of the Land Suitability Analysis Technique","year":2019,"lang":"en","type":"article","venue":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Suitability analysis; Acre; Endangered species; Wetland; Land use; Land development","score_opus":0.0029440020195701674,"score_gpt":0.16516441293028564,"score_spread":0.16222041091071546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017465379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935416,0.000018829729,0.000447053,0.000030006011,0.000043937172,0.00037999087,0.000077416684,0.000033596974,0.005427567],"genre_scores_gemma":[0.9993159,0.0000048109996,0.000051612944,0.0000104381015,0.000013537438,0.000001742727,0.000043804605,0.000008308111,0.0005498005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836874,0.000117722586,0.0002819896,0.00052969286,0.00048318124,0.00021870124],"domain_scores_gemma":[0.9982172,0.000083994455,0.00032571086,0.00114914,0.00007904567,0.00014487337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022375307,0.00017261776,0.00043034749,0.00007578308,0.00022438381,0.000009686127,0.0006966449,0.00012277374,0.00010290501],"category_scores_gemma":[0.000022501074,0.00015162073,0.0005665308,0.0010479582,0.0004954177,0.00044160843,0.00038712219,0.00013374009,0.000030944408],"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":[0.0000646934,0.0001477746,0.99099433,0.00003066516,0.00011702554,0.0000023853838,0.0003131393,0.0049131154,0.0016758082,0.0000069140247,0.0000064819196,0.0017276475],"study_design_scores_gemma":[0.00018897532,0.00007644907,0.99183077,0.0000036725903,0.0003383108,0.000007323125,0.00010843227,0.0062205126,0.0006770109,0.000061670915,0.00032089866,0.00016598795],"about_ca_topic_score_codex":0.0025250134,"about_ca_topic_score_gemma":0.003750024,"teacher_disagreement_score":0.0057743415,"about_ca_system_score_codex":0.00025731185,"about_ca_system_score_gemma":0.000025618463,"threshold_uncertainty_score":0.6182914},"labels":[],"label_agreement":null},{"id":"W7029919413","doi":"","title":"Land suitability analysis for harvest species using a multi -criteria and GIS approach in northern Saskatchewan","year":2022,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Juniper; Geospatial analysis; Suitability analysis; Geographic information system; Analytic hierarchy process; Pairwise comparison; Land use; Agriculture","score_opus":0.013637235642411809,"score_gpt":0.19462285788952383,"score_spread":0.180985622247112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029919413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961717,0.000056136112,0.00066455145,0.00008090105,0.00005086979,0.00041703632,0.00076977944,0.000049684015,0.0017393202],"genre_scores_gemma":[0.9637474,0.000034226097,0.007952739,0.00001285985,0.00001317443,3.788752e-7,0.0024834021,0.000023354542,0.025732465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997903,0.0002468159,0.00024206791,0.0009028816,0.00033991406,0.00036535785],"domain_scores_gemma":[0.99891645,0.00012575381,0.0002947,0.00046114443,0.000023747561,0.0001781874],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027532649,0.00034114977,0.00085918815,0.000581085,0.0005151723,0.000041773466,0.0006722306,0.00029324766,0.00403828],"category_scores_gemma":[0.0000107913065,0.000442176,0.0005443391,0.0016936193,0.00036014747,0.0011558438,0.00046316173,0.00033055517,0.000003518294],"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":[0.0005259698,0.00034238838,0.93081975,0.00018500029,0.00044305975,0.000026616255,0.065685324,0.0012785478,0.000100678066,0.00000213384,0.000030829386,0.0005597245],"study_design_scores_gemma":[0.00079316203,0.000043128162,0.57591516,0.000011582488,0.0008839758,6.9280173e-7,0.41722053,0.0037948436,0.000011986323,0.00004555453,0.00092482625,0.00035453506],"about_ca_topic_score_codex":0.050110277,"about_ca_topic_score_gemma":0.54536104,"teacher_disagreement_score":0.49525076,"about_ca_system_score_codex":0.00032153944,"about_ca_system_score_gemma":0.00017836696,"threshold_uncertainty_score":0.999803},"labels":[],"label_agreement":null},{"id":"W7032802490","doi":"","title":"The Oklahoma Daily (Norman, Okla.), Vol. 91, No. 103, Ed. 1 Wednesday, February 21, 2007","year":2007,"lang":"en","type":"other","venue":"The Gateway to Oklahoma History","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Newspaper; Government (linguistics); Work (physics); Quarter (Canadian coin)","score_opus":0.007600493126694934,"score_gpt":0.20168712259824065,"score_spread":0.1940866294715457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7032802490","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020429234,0.014460862,0.000046699293,0.0005763929,0.00963538,0.00089673407,0.000056764216,0.00044539917,0.97183883],"genre_scores_gemma":[0.00071953813,0.00081839104,0.0001306286,0.0037152702,0.002008014,0.0001333067,0.000052675387,0.00046635515,0.9919558],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.994765,0.00038543297,0.0008210564,0.0012274293,0.0014380801,0.0013630236],"domain_scores_gemma":[0.9957089,0.00042827678,0.00046982654,0.0027717638,0.00006273851,0.00055850385],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021321368,0.00092269393,0.00082710566,0.00029394313,0.0008324612,0.00008667126,0.0025430084,0.0006286596,0.08658213],"category_scores_gemma":[0.00030604907,0.0005756233,0.00063451915,0.0005907135,0.0016700465,0.00013143301,0.0008449862,0.00088852446,0.059586257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012471466,0.0001388225,0.0018872848,0.00002949037,0.0001531406,0.000041037492,0.0006916613,0.000045289737,0.00004976582,0.00003426776,0.98690784,0.009896681],"study_design_scores_gemma":[0.0003356845,0.00010951408,0.009067604,0.000056226927,0.0002158526,0.000016847674,0.00020466452,0.00007971143,0.0000118951575,0.00008553473,0.9889654,0.00085107965],"about_ca_topic_score_codex":0.025694316,"about_ca_topic_score_gemma":0.017725693,"teacher_disagreement_score":0.026995875,"about_ca_system_score_codex":0.002007444,"about_ca_system_score_gemma":0.0001345006,"threshold_uncertainty_score":0.9996695},"labels":[],"label_agreement":null},{"id":"W7038548011","doi":"","title":"“Il sentimento dell’infanzia” narrato attraverso le opere di L. Frank Baum e di James M. Barrie","year":2020,"lang":"it","type":"article","venue":"View","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","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":"Context (archaeology); Exposition (narrative); George (robot); Period (music)","score_opus":0.01737588159940393,"score_gpt":0.22129278007818268,"score_spread":0.20391689847877875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038548011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8529428,0.039734237,0.0012663753,0.061649818,0.00075008,0.0012736479,0.00047901052,0.00028542586,0.041618556],"genre_scores_gemma":[0.9885554,0.0040595597,0.000074385294,0.004299806,0.0001962249,0.000023861652,0.000046978348,0.000038943344,0.0027048432],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99666184,0.00029781047,0.00059828995,0.0010172479,0.0007184602,0.00070632464],"domain_scores_gemma":[0.9983601,0.00009402988,0.00012973225,0.000653965,0.000021736068,0.00074042514],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00040424636,0.0004607674,0.00071504794,0.00003319122,0.0005377306,0.00021630185,0.00072419614,0.00020933204,0.038571063],"category_scores_gemma":[0.00009982915,0.0004003442,0.0005239389,0.0008027077,0.0004164993,0.00042717933,0.00046624526,0.00035805168,0.008584162],"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":[0.0002755464,0.001624491,0.5245757,0.0015444144,0.0018003143,0.00034854966,0.035074025,0.007961634,0.0073270095,0.00043101283,0.23564209,0.1833952],"study_design_scores_gemma":[0.0010765642,0.00023886334,0.03739421,0.0001421787,0.00050113956,0.0000068662407,0.0047899117,0.015482923,0.0015267525,0.00008149803,0.93773496,0.001024109],"about_ca_topic_score_codex":0.0045207865,"about_ca_topic_score_gemma":0.00039000038,"teacher_disagreement_score":0.7020929,"about_ca_system_score_codex":0.00012292608,"about_ca_system_score_gemma":0.00009783677,"threshold_uncertainty_score":0.99984485},"labels":[],"label_agreement":null},{"id":"W7084092807","doi":"10.64628/aan.dppcq6mqy","title":"Cara terbaik dan murah jaga kesehatan anak: ajak mereka bermain di luar rumah","year":2019,"lang":"id","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Data collection; Focus (optics); Field (mathematics)","score_opus":0.00625865368320072,"score_gpt":0.20346418631038288,"score_spread":0.19720553262718216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084092807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85297555,0.00030850244,0.000037272886,0.0012520248,0.00035571065,0.00037572178,0.0000457718,0.00007699214,0.14457245],"genre_scores_gemma":[0.9463439,0.00016256777,0.00013787957,0.0005007606,0.000103216225,0.000015187587,0.00006970833,0.00003549802,0.052631292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957942,0.00031092984,0.00067082513,0.001193103,0.00097549387,0.0010554761],"domain_scores_gemma":[0.9976577,0.0001927382,0.00015832669,0.0014713915,0.000021305917,0.00049853954],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00073478045,0.00052655354,0.00071336806,0.000102051235,0.00033722713,0.00021569042,0.00093475095,0.00029841237,0.036225136],"category_scores_gemma":[0.000051509254,0.00041801596,0.0005170174,0.0007432935,0.00044673265,0.0006062456,0.0005618076,0.00041470033,0.013073368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036550315,0.00037019025,0.96781796,0.000055298035,0.00016019816,0.000024716752,0.0013927883,0.00023460497,0.0034439962,0.00019390522,0.001940361,0.024329428],"study_design_scores_gemma":[0.0010966598,0.0003257119,0.92008954,0.00004423569,0.00025944033,0.000015758926,0.005312764,0.007659828,0.0024022378,0.00021070201,0.061471812,0.001111305],"about_ca_topic_score_codex":0.008986431,"about_ca_topic_score_gemma":0.0056235855,"teacher_disagreement_score":0.09336834,"about_ca_system_score_codex":0.00039049744,"about_ca_system_score_gemma":0.00004090709,"threshold_uncertainty_score":0.99982715},"labels":[],"label_agreement":null},{"id":"W7097079590","doi":"","title":"Lands Project Management","year":2012,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Project management; Work (physics); Information system; Program management; Documentation","score_opus":0.011393470750675023,"score_gpt":0.23273526678341047,"score_spread":0.22134179603273546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097079590","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35513008,0.000012503786,0.00016522378,0.00006629463,0.000025984446,0.000038908795,2.2175814e-7,0.00002487621,0.6445359],"genre_scores_gemma":[0.9775199,0.000006035301,0.00081983925,0.00018344962,0.000020265965,0.0000086320315,0.0000016320265,0.000001697286,0.021438548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996187,0.000011776073,0.00004723,0.000069712376,0.000104849576,0.00014769933],"domain_scores_gemma":[0.99984217,0.000006489414,0.00000608922,0.00010934414,4.702397e-7,0.000035438126],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014483224,0.00003477315,0.000037724698,0.000010526365,0.000035390178,0.00000616116,0.000058624144,0.000011958977,0.0089225],"category_scores_gemma":[0.0000020851764,0.0000223094,0.00002949145,0.00012375732,0.000019788458,0.00009526073,0.00006798309,0.000017471923,0.0015326523],"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":[0.0000016498061,0.00005708858,0.9774027,0.000001877571,0.000008964628,3.93024e-7,0.00018798432,0.000008454904,0.00000806936,0.00024678544,0.0083020525,0.013773971],"study_design_scores_gemma":[0.00008725359,0.0000071772592,0.72584033,5.027106e-7,0.00001925998,0.000001131482,0.000325301,0.00019420081,0.00007182451,0.00012505337,0.27325168,0.0000762934],"about_ca_topic_score_codex":0.00035198862,"about_ca_topic_score_gemma":0.00006849683,"teacher_disagreement_score":0.62309736,"about_ca_system_score_codex":0.000021380936,"about_ca_system_score_gemma":3.330014e-7,"threshold_uncertainty_score":0.99924475},"labels":[],"label_agreement":null},{"id":"W7110970365","doi":"10.1371/journal.pone.0325729.s003","title":"Descriptive statistics of resistance and current density values.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Current (fluid); Scale (ratio); Descriptive statistics; Resistance (ecology); Statistical analysis","score_opus":0.023541016465378005,"score_gpt":0.25675540605681707,"score_spread":0.23321438959143906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110970365","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051229794,0.017405923,0.00029616107,0.0002461763,0.00027174005,0.000561883,0.921686,0.000029725317,0.008272612],"genre_scores_gemma":[0.9906429,0.00027266133,0.00040345525,0.00006653125,0.000020703012,0.00002369391,0.0058162566,0.000007243471,0.0027465515],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99859345,0.000097607204,0.00034206183,0.00043371008,0.00028796535,0.00024521633],"domain_scores_gemma":[0.9991015,0.00025224403,0.0001384886,0.00033382687,0.00007173643,0.00010216238],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001214249,0.00017549675,0.0003169024,0.0000489782,0.00018766447,0.000043667897,0.00021353317,0.00008400705,0.13675417],"category_scores_gemma":[0.0010939223,0.00016769423,0.000081284896,0.0004199855,0.00012477083,0.00011708909,0.0003724083,0.00018382957,0.00029689205],"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":[0.00013506999,0.00043733246,0.077085465,0.0028631983,0.00019275141,0.000014755326,0.0030810663,0.000103560815,0.00006782875,0.00029168837,0.73686653,0.17886075],"study_design_scores_gemma":[0.0004190508,0.0000449076,0.9335173,0.0029331497,0.00022517225,5.0338195e-7,0.00065173017,0.003009803,0.001090048,0.0055780183,0.052188028,0.00034229562],"about_ca_topic_score_codex":0.000096316086,"about_ca_topic_score_gemma":0.00079463015,"teacher_disagreement_score":0.93941313,"about_ca_system_score_codex":0.0001431926,"about_ca_system_score_gemma":0.00006365839,"threshold_uncertainty_score":0.86403495},"labels":[],"label_agreement":null},{"id":"W7111245365","doi":"10.1371/journal.pone.0325729.s004","title":"Summary statistics of current density by municipality.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Soil and Land Suitability Analysis","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":"","keywords":"Current (fluid); Standard deviation; Standard uncertainty; Measure (data warehouse); Distance sampling; Grassland","score_opus":0.028493906687074494,"score_gpt":0.2861558731291273,"score_spread":0.25766196644205286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111245365","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009753837,0.006595355,0.000062352636,0.00010385352,0.000170061,0.00026536055,0.97424585,0.00002071148,0.008782613],"genre_scores_gemma":[0.8920544,0.00031921343,0.00008724512,0.00023076741,0.000031740525,0.00004340382,0.10245104,0.000013006779,0.004769196],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810636,0.00015725257,0.00052151555,0.00045264882,0.00040886537,0.00035338243],"domain_scores_gemma":[0.9986372,0.00035503643,0.00017284085,0.0006421529,0.00005658968,0.00013615892],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016309133,0.00021988596,0.00040207646,0.00004914172,0.00017881676,0.00004017151,0.00051605416,0.00013067448,0.48152792],"category_scores_gemma":[0.00092440314,0.00021394053,0.00018031073,0.00057943497,0.00008876579,0.00011457973,0.00067636353,0.00027630574,0.001413045],"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":[0.000018973746,0.00036563186,0.02352837,0.00070353824,0.00007127011,0.0000025593824,0.00022120692,0.00008450907,0.0000395236,0.00005052322,0.88913953,0.08577437],"study_design_scores_gemma":[0.00051793305,0.000076907265,0.16784939,0.00253797,0.00030079932,5.1889737e-7,0.00029134908,0.009438892,0.0022499317,0.001324852,0.81487435,0.0005371131],"about_ca_topic_score_codex":0.0007897239,"about_ca_topic_score_gemma":0.00076571625,"teacher_disagreement_score":0.88230056,"about_ca_system_score_codex":0.00015813533,"about_ca_system_score_gemma":0.00007911543,"threshold_uncertainty_score":0.9993645},"labels":[],"label_agreement":null},{"id":"W7126237065","doi":"10.18280/ijdne.201207","title":"GIS-AHP Based Suitability Assessment Model for Smallholder Coffee Plantations: A Case Study from Jember, Indonesia","year":2025,"lang":"","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Jember","keywords":"Suitability analysis; Work (physics); Agriculture; Sustainability","score_opus":0.020858745650783283,"score_gpt":0.3070105921211656,"score_spread":0.28615184647038233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126237065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6558928,0.0004742507,0.34064585,0.0012309954,0.00074685185,0.00055444485,0.00038547482,0.0000069490206,0.00006239202],"genre_scores_gemma":[0.98337495,0.00018654314,0.015515089,0.00059895025,0.00012320076,0.00003297934,0.0000432191,0.000017267252,0.00010781],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966144,0.00032787348,0.0012918789,0.0005807936,0.00086288166,0.0003221892],"domain_scores_gemma":[0.9965097,0.0018411784,0.0006624425,0.00032193746,0.00046953693,0.0001952042],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020513618,0.0003791486,0.000636936,0.00039113982,0.00033151236,0.000349262,0.0007043357,0.00040985475,0.00020282905],"category_scores_gemma":[0.00023504524,0.00032796586,0.0003976764,0.00033385772,0.00017916084,0.0005654599,0.0001694864,0.00097146817,0.0000015560316],"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":[0.0017391444,0.0038377477,0.64616406,0.000055156383,0.0025051516,0.0011506374,0.0022012955,0.32014197,0.00017666697,0.00026080737,0.00033289168,0.021434484],"study_design_scores_gemma":[0.0036020398,0.0003143402,0.10678925,0.0000893364,0.0009785946,0.00018508911,0.002877843,0.87855333,0.000020136604,0.006276863,0.000037553782,0.00027559372],"about_ca_topic_score_codex":0.00061224634,"about_ca_topic_score_gemma":0.0033680496,"teacher_disagreement_score":0.55841136,"about_ca_system_score_codex":0.00072941784,"about_ca_system_score_gemma":0.00046996155,"threshold_uncertainty_score":0.99991727},"labels":[],"label_agreement":null},{"id":"W7163352271","doi":"10.5958/2455-7145.2025.00016.8","title":"Characterization and suitability evaluation of rice growing soils for sustainable land use planning using geographic information system (GIS)","year":2025,"lang":"en","type":"article","venue":"Journal of Soil and Water Conservation","topic":"Soil and Land Suitability Analysis","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":"Loam; Soil water; Silt; Nutrient; Crop; Soil texture; Total organic carbon; Bulk density","score_opus":0.021871700416684826,"score_gpt":0.2417841770256332,"score_spread":0.2199124766089484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7163352271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925199,0.000023684384,0.0069290954,0.00027959666,0.00003546174,0.00017392772,0.0000030360404,0.0000043640994,0.00003091559],"genre_scores_gemma":[0.99972993,0.000006342052,0.00013909026,0.0000760769,0.000009277713,0.0000054145403,0.000018485638,0.0000019275983,0.0000134405545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990313,0.00010741072,0.0004416279,0.00007974971,0.0002282074,0.00011172086],"domain_scores_gemma":[0.9992513,0.00010248087,0.00023992056,0.000063021056,0.0003145335,0.000028754775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024910106,0.000068859415,0.00016580048,0.00014667521,0.00015978054,0.000092076494,0.00003748943,0.00005451238,0.000006116374],"category_scores_gemma":[0.00022585991,0.000049128947,0.00004400116,0.00016491322,0.000049203136,0.0024298357,0.000034770204,0.000047399975,1.3232057e-7],"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":[0.00009152645,0.000015172459,0.9842512,0.00034197958,0.000036393223,2.7739674e-7,0.00086396636,0.0023891781,0.010572292,0.000070539296,0.000004392325,0.0013630593],"study_design_scores_gemma":[0.0005842029,0.00003312477,0.82839054,0.00009464003,0.00020632027,0.000004718857,0.0014024106,0.16632782,0.002308814,0.0005063596,0.00008245152,0.000058590977],"about_ca_topic_score_codex":0.000931133,"about_ca_topic_score_gemma":0.0000149229145,"teacher_disagreement_score":0.16393864,"about_ca_system_score_codex":0.00009417989,"about_ca_system_score_gemma":0.000026217023,"threshold_uncertainty_score":0.20034203},"labels":[],"label_agreement":null},{"id":"W778237400","doi":"10.5539/jgg.v5n4p94","title":"Assessment of Land Cover Change in the North Eastern Nigeria 1986 to 2005","year":2013,"lang":"en","type":"dissertation","venue":"Journal of Geography and Geology","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Land cover; Cover (algebra); Forestry; Physical geography; Land use; Environmental resource management; Environmental planning; Environmental science; Engineering; Civil engineering","score_opus":0.007839332536767244,"score_gpt":0.25284320807390953,"score_spread":0.24500387553714228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W778237400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762493,0.0003055052,0.0000057374887,0.0002870151,0.00014504055,0.00012474797,0.000005954976,8.390182e-7,0.0015002177],"genre_scores_gemma":[0.9988822,0.00039128072,0.00006350226,0.00034633416,0.000064818,0.000012590451,0.000025454512,0.0000035026653,0.00021035902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893236,0.00013297393,0.00037952344,0.00013231343,0.0002502936,0.00017255948],"domain_scores_gemma":[0.99938804,0.000079789235,0.0003134736,0.00012679989,0.00002553562,0.00006634891],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004593371,0.00011928542,0.0003588385,0.00020169318,0.00003970224,0.00001413196,0.0002185141,0.0001180712,0.0012630105],"category_scores_gemma":[0.000013986195,0.000071484705,0.00015831842,0.00022783752,0.00007243111,0.000093001596,0.000028464845,0.00023683926,0.000010714165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039485538,0.00008760433,0.99490833,0.00001855027,0.000053680025,0.0000079362335,0.0013979934,0.00011386301,0.000010574115,0.0000029353334,0.00014648729,0.0032125532],"study_design_scores_gemma":[0.00021008425,0.00020950912,0.99676514,0.000017643522,0.00004808702,0.000010291792,0.00043200311,0.00006353673,0.0000012345109,0.00014083907,0.002025087,0.000076532786],"about_ca_topic_score_codex":0.0029924128,"about_ca_topic_score_gemma":0.030108087,"teacher_disagreement_score":0.027115673,"about_ca_system_score_codex":0.0000102433305,"about_ca_system_score_gemma":0.0000107420265,"threshold_uncertainty_score":0.99964994},"labels":[],"label_agreement":null},{"id":"W94614716","doi":"10.12681/eadd/27471","title":"Evaluation of the biodiversity in sustainable development using GIS","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental 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":"International Development Research Centre; Yale University; U.S. Department of Agriculture","keywords":"Biodiversity; Geography; Sustainable development; Environmental planning; Environmental resource management; Business; Environmental science; Ecology; Biology","score_opus":0.031092714920731342,"score_gpt":0.26046847869306916,"score_spread":0.22937576377233782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W94614716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96997005,0.000043433458,0.0000021810213,0.000009495286,0.00004980127,0.00015218006,5.9454453e-7,0.0000022772635,0.029770005],"genre_scores_gemma":[0.995452,0.0000012645008,0.00007120789,0.0000066774296,0.0000027142005,0.000004010758,0.000029261328,0.000001417483,0.004431472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988262,0.000113558985,0.00014820861,0.00012267071,0.00065458956,0.00013477622],"domain_scores_gemma":[0.9997114,0.000011586585,0.00008432841,0.00013439525,0.00003980078,0.00001846884],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015213627,0.000069222275,0.00010247946,0.000039165778,0.00009569778,0.000005382329,0.00013526225,0.00008134961,0.004336016],"category_scores_gemma":[0.00006510457,0.000045639656,0.000051107756,0.00030719204,0.000025775693,0.00009041851,0.00006230761,0.000060436138,0.00003160434],"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":[0.000007697612,0.00009404635,0.9831762,0.00003320014,0.000024129728,1.6996638e-7,0.005083148,0.0020236836,0.00017522047,0.000008031,0.00010436728,0.009270114],"study_design_scores_gemma":[0.000090044334,0.0000013960157,0.9898438,0.000006798894,0.00014686934,6.055005e-8,0.0070823207,0.000881118,0.0014293949,0.00010023747,0.00034764168,0.000070318434],"about_ca_topic_score_codex":0.014034091,"about_ca_topic_score_gemma":0.025915278,"teacher_disagreement_score":0.025481941,"about_ca_system_score_codex":0.0006137574,"about_ca_system_score_gemma":0.00008540977,"threshold_uncertainty_score":0.99657416},"labels":[],"label_agreement":null}]}