{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":29,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":29,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"07c859729984","filters":{"venue":"AgriEngineering"}},"results":[{"id":"W4210480843","doi":"10.3390/agriengineering4010006","title":"Precision Irrigation Management Using Machine Learning and Digital Farming Solutions","year":2022,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":254,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Agriculture; Precision agriculture; Irrigation; Software deployment; Computer science; Sustainable agriculture; Irrigation management; Agricultural engineering; Engineering; Geography","authors":[{"name":"Abiodun Emmanuel Abioye","is_ca":false},{"name":"Oliver Hensel","is_ca":false},{"name":"Travis J. Esau","is_ca":true},{"name":"Olakunle Elijah","is_ca":false},{"name":"Mohamad Shukri Zainal Abidin","is_ca":false},{"name":"Ajibade Sylvester Ayobami","is_ca":false},{"name":"Omosun Yerima","is_ca":false},{"name":"Abozar Nasirahmadi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01184248166752605,"gpt":0.182820195556518,"spread":0.1709777138889919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005153624,0.0004054511,0.000355336,0.0006845774,0.0002923041,0.001820727,0.0008004492,0.000885423,0.002692402],"category_scores_gemma":[0.001170231,0.0001710164,0.0003718653,0.0008282697,0.0004645535,0.002248499,0.001105462,0.000634708,0.0007879414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006933061,"about_ca_system_score_gemma":0.0006597693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848224,"about_ca_topic_score_gemma":0.002509212,"domain_scores_codex":[0.9996445,0.00006909901,0.00002514471,0.00009782502,0.0001268409,0.00003657584],"domain_scores_gemma":[0.9994572,0.000213829,0.00009212708,0.00009196161,0.0001178032,0.00002710389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007113972,0.0002045352,0.003961295,0.0004779831,0.00008589389,0.0001548602,0.0001824612,0.1575359,0.01740511,0.03306415,0.006663192,0.7801935],"study_design_scores_gemma":[0.00003277623,0.0002187552,0.003941048,0.0002753614,0.00006371514,0.0002386707,0.0003993947,0.8215856,0.01525743,0.06676771,0.09114044,0.00007912768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04941205,0.005147975,0.9027215,0.003421739,0.0002749373,0.0001496729,0.0003686218,0.002130319,0.03637324],"genre_scores_gemma":[0.6544158,0.005817086,0.3263335,0.0006934114,0.0002003194,0.0001611743,0.0004823208,0.00008762947,0.01180874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002692402,"threshold_uncertainty_score":0.009006977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313247118","doi":"10.3390/agriengineering5010003","title":"Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture","year":2022,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; Dalhousie University","funders":"","keywords":"Automation; Machine vision; Agriculture; Precision agriculture; Productivity; Flexibility (engineering); Computer science; Process (computing); Artificial intelligence; Population; Risk analysis (engineering); Engineering; Business; Geography; Economic growth; Management; Economics","authors":[{"name":"Jaemyung Shin","is_ca":true},{"name":"Md Sultan Mahmud","is_ca":true},{"name":"Tanzeel U. Rehman","is_ca":true},{"name":"Prabahar Ravichandran","is_ca":true},{"name":"Brandon Heung","is_ca":true},{"name":"Young Chang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002937702280061139,"gpt":0.183009358009841,"spread":0.1800716557297799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001864715,0.0005316145,0.0006106563,0.002099847,0.0002556544,0.001476188,0.0008465237,0.001539626,0.001808072],"category_scores_gemma":[0.001311217,0.0003049762,0.0005876354,0.002213016,0.0007601927,0.002558258,0.0005890314,0.001396049,0.0009243305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008558492,"about_ca_system_score_gemma":0.001093455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309456,"about_ca_topic_score_gemma":0.001381498,"domain_scores_codex":[0.9993538,0.0001373582,0.00005304541,0.0001342343,0.0002549621,0.00006656571],"domain_scores_gemma":[0.9984554,0.0006596262,0.0001356839,0.00004617442,0.0006165949,0.00008653032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001464239,0.000187501,0.004697602,0.00894086,0.0001101678,0.0004052708,0.0002916773,0.002414662,0.02067392,0.01892962,0.01681267,0.9263897],"study_design_scores_gemma":[0.00003700716,0.001117318,0.01577682,0.004654067,0.0003765195,0.002718443,0.0009617477,0.01495187,0.0238979,0.03109976,0.9041969,0.0002116485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006159286,0.9618638,0.01462956,0.004402996,0.0005498634,0.00003966968,0.0000768692,0.0001172426,0.01216079],"genre_scores_gemma":[0.05424175,0.9122918,0.0266236,0.001932048,0.001017334,0.00006183155,0.0001954046,0.00002429496,0.003611902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002099847,"threshold_uncertainty_score":0.009861708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410128569","doi":"10.3390/agriengineering7050137","title":"Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review","year":2025,"lang":"en","type":"review","venue":"AgriEngineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Agriculture; Precision agriculture; Agricultural engineering; Environmental science; Computer science; Geography; Engineering","authors":[{"name":"Muhammad Awais","is_ca":true},{"name":"Xiuquan Wang","is_ca":true},{"name":"Sajjad Hussain","is_ca":false},{"name":"Farhan Aziz","is_ca":true},{"name":"Muhammad Qasim Mahmood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01155848311707114,"gpt":0.2407523301064756,"spread":0.2291938469894045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481694,0.000926214,0.001446032,0.005382645,0.0003946947,0.001801295,0.0009473947,0.00159492,0.003707709],"category_scores_gemma":[0.003688273,0.0004766973,0.001280312,0.00595275,0.0005966665,0.002204541,0.0009584296,0.001163098,0.0007489249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000944,"about_ca_system_score_gemma":0.004365544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003891677,"about_ca_topic_score_gemma":0.007553502,"domain_scores_codex":[0.9993353,0.0001661783,0.00014874,0.00009597671,0.0002104334,0.00004334698],"domain_scores_gemma":[0.9970444,0.002197762,0.0002830269,0.00004903737,0.0003602997,0.00006555859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005305176,0.00007561923,0.0004302058,0.2031862,0.0003894741,0.0001947243,0.0002900432,0.0006187052,0.0008188762,0.007973642,0.009887584,0.7760817],"study_design_scores_gemma":[0.0000189621,0.0001753495,0.002283019,0.1011594,0.001328787,0.0008942136,0.0003906848,0.0002241507,0.0005625316,0.003439991,0.8894759,0.0000469091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000128625,0.9988235,0.0001240763,0.0001992045,0.00006552248,0.00000944846,0.00001880036,0.000003499026,0.0006273767],"genre_scores_gemma":[0.0009462289,0.9985097,0.0002551741,0.0001187047,0.00003295628,0.000009848968,0.0000161247,0.000001079816,0.0001101415],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005382645,"threshold_uncertainty_score":0.01240349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3177657934","doi":"10.3390/agriengineering3030034","title":"Mathematical Programming Models for Fresh Fruit Supply Chain Optimization: A Review of the Literature and Emerging Trends","year":2021,"lang":"en","type":"review","venue":"AgriEngineering","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Perishability; Stochastic programming; Agriculture; Supply chain; Linear programming; Integer programming; Computer science; Supply chain optimization; Distribution (mathematics); Scarcity; Robust optimization; Supply chain management; Economics; Operations research; Mathematical optimization; Business; Mathematics; Microeconomics; Geography; Marketing","authors":[{"name":"T. Vu Nguyen","is_ca":true},{"name":"Tri Nguyen-Quang","is_ca":true},{"name":"Uday Venkatadri","is_ca":true},{"name":"Claver Diallo","is_ca":true},{"name":"Michelle Adams","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03929036946530085,"gpt":0.2776360224924076,"spread":0.2383456530271068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009926698,0.001615404,0.001791456,0.001816764,0.0002881333,0.001876904,0.00136186,0.001257906,0.004024133],"category_scores_gemma":[0.001817137,0.000590566,0.001329102,0.004310951,0.0005762176,0.002161191,0.0007878657,0.001854602,0.001373592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007389252,"about_ca_system_score_gemma":0.001395741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249323,"about_ca_topic_score_gemma":0.002016083,"domain_scores_codex":[0.9996574,0.00008188101,0.00003922584,0.00006911953,0.0001291471,0.00002319564],"domain_scores_gemma":[0.9988812,0.0008206058,0.00009624282,0.00002352673,0.0001548031,0.00002373532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005739411,0.0002072326,0.0006730545,0.02566184,0.000339732,0.0002609129,0.0001563328,0.04395058,0.001107882,0.06710329,0.03024045,0.8302413],"study_design_scores_gemma":[0.00003592084,0.0002154716,0.00146703,0.01370934,0.0005047689,0.0009591655,0.0002975733,0.04165728,0.001023578,0.07333934,0.866641,0.0001494846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005284338,0.9823083,0.01298112,0.0006359447,0.0001871712,0.00001497826,0.00006986791,0.00003378276,0.003240493],"genre_scores_gemma":[0.004397475,0.9895915,0.004820173,0.0001286167,0.0002489133,0.00001981904,0.00009814072,0.00001122198,0.0006841656],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004024133,"threshold_uncertainty_score":0.01346201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323569567","doi":"10.3390/agriengineering5010035","title":"Application of Quality 4.0 (Q4.0) and Industrial Internet of Things (IIoT) in Agricultural Manufacturing Industry","year":2023,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Six Sigma; Manufacturing engineering; Quality (philosophy); Machining; Automotive industry; Manufacturing; Cost reduction; Quality management; Quality costs; Agriculture; Operations management; Engineering; Business; Management system; Mechanical engineering; Marketing","authors":[{"name":"Jagmeet Singh","is_ca":false},{"name":"Inderpreet Singh Ahuja","is_ca":false},{"name":"Harwinder Singh","is_ca":false},{"name":"Amandeep Singh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01975209298708901,"gpt":0.2269489478405318,"spread":0.2071968548534428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001115241,0.0002776384,0.0001466789,0.00136594,0.0002826858,0.0009689342,0.0004646394,0.0005420907,0.001262648],"category_scores_gemma":[0.001146685,0.0001668011,0.0004483126,0.001038141,0.0004851517,0.0009867145,0.0007986348,0.0003400745,0.0002320523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006943567,"about_ca_system_score_gemma":0.0007030734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091306,"about_ca_topic_score_gemma":0.0009102873,"domain_scores_codex":[0.9991289,0.0002031616,0.0000533999,0.0001025869,0.000439876,0.00007215132],"domain_scores_gemma":[0.9992488,0.0001617546,0.0001291236,0.0001262365,0.000285712,0.00004833345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002914476,0.000281089,0.02232,0.0007753075,0.00007231455,0.0008729636,0.0006307478,0.01664263,0.1414376,0.03127055,0.002631437,0.7827739],"study_design_scores_gemma":[0.0003291341,0.005899914,0.1173914,0.0008592445,0.0004950571,0.004943599,0.003180525,0.2206858,0.3265001,0.0595427,0.2598032,0.0003691739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2669373,0.003758269,0.6744995,0.001671308,0.0003436076,0.000703069,0.0001919629,0.001886152,0.05000893],"genre_scores_gemma":[0.7900612,0.002064371,0.2019174,0.0003934289,0.00004684887,0.000145266,0.0001719542,0.00005523284,0.005144343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00136594,"threshold_uncertainty_score":0.005898058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3136545002","doi":"10.3390/agriengineering3010009","title":"Numerical Study of the Drying of Cassava Roots Chips Using an Indirect Solar Dryer in Natural Convection","year":2021,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Agence Nationale de la Recherche","keywords":"Solar dryer; Mass transfer; Water content; Convection; Relative humidity; Natural convection; Moisture; Work (physics); Humidity; Heat transfer; Environmental science; Materials science; Pulp and paper industry; Thermodynamics; Meteorology; Mechanics; Composite material; Physics; Engineering; Geotechnical engineering","authors":[{"name":"Merlin Simo‐Tagne","is_ca":false},{"name":"Ablain Tagne Tagne","is_ca":false},{"name":"Macmanus Chinenye Ndukwu","is_ca":false},{"name":"Lyes Bennamoun","is_ca":true},{"name":"Marcel Brice Obounou Akong","is_ca":false},{"name":"Maryam El Marouani","is_ca":false},{"name":"Yann Rogaume","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03456117597735636,"gpt":0.2319153239186344,"spread":0.1973541479412781,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245141,0.0003068188,0.0004554826,0.0002146164,0.0003877884,0.0005260472,0.0003511026,0.0007319043,0.001005117],"category_scores_gemma":[0.0005461377,0.0001650503,0.00040854,0.0002291333,0.0004419778,0.0002832283,0.0002633967,0.000286966,0.00007856905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003843113,"about_ca_system_score_gemma":0.0004191871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007033003,"about_ca_topic_score_gemma":0.004149549,"domain_scores_codex":[0.9999349,0.00001327646,0.000004012871,0.00001551761,0.00001700666,0.00001521475],"domain_scores_gemma":[0.9997638,0.0001398255,0.00002838491,0.00001574826,0.00003751216,0.00001476768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001285498,0.00006959919,0.004242375,0.000138564,0.00002268758,0.0002440783,0.0001122389,0.9590604,0.03050297,0.0008330421,0.0001314732,0.004514056],"study_design_scores_gemma":[0.00001472809,0.00006395399,0.001103544,0.000004958451,0.000006567759,0.00002261549,0.00003945449,0.994709,0.003744395,0.00008752611,0.0001964485,0.000006734822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751406,0.0002180819,0.02049685,0.00008791254,0.00003203184,0.00004067185,0.00009844545,0.000075327,0.003810082],"genre_scores_gemma":[0.9922463,0.00008053375,0.006474914,0.00000846468,0.000002761959,0.00001990489,0.0000394968,0.000008749408,0.001118892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007033003,"threshold_uncertainty_score":0.01398408,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996112205","doi":"10.3390/agriengineering2010001","title":"Optimization Model for Fresh Fruit Supply Chains: Case-Study of Dragon Fruit in Vietnam","year":2019,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Edible Oils Quality and Analysis","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Yield (engineering); Supply chain; Economics; Geopolitics; Agricultural economics; Business; Horticulture; Biology; Marketing; Political science","authors":[{"name":"T. Vu Nguyen","is_ca":true},{"name":"Uday Venkatadri","is_ca":true},{"name":"Tri Nguyen-Quang","is_ca":true},{"name":"Claver Diallo","is_ca":true},{"name":"Michelle Adams","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01687621075240099,"gpt":0.2429858378641483,"spread":0.2261096271117473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009450494,0.001237113,0.001322338,0.0007387182,0.0008646947,0.002108288,0.001431863,0.002999749,0.008015918],"category_scores_gemma":[0.002079347,0.0007580302,0.0012578,0.0009402659,0.0008502323,0.0008636877,0.001311119,0.001904455,0.0004781081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002971493,"about_ca_system_score_gemma":0.002302381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1051206,"about_ca_topic_score_gemma":0.0542977,"domain_scores_codex":[0.9995881,0.0001484712,0.00001557331,0.0000848179,0.00003576432,0.0001272456],"domain_scores_gemma":[0.9983563,0.00110075,0.0001493551,0.0000279608,0.0002074428,0.0001582147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004626031,0.00003491129,0.0009868381,0.0000423206,0.0000165385,0.0002873451,0.00003307589,0.9941064,0.0001548229,0.002841941,0.0004838441,0.0009655923],"study_design_scores_gemma":[0.00001982603,0.00002794745,0.0004247905,0.00001027684,0.00001258463,0.00002171852,0.0000970894,0.9975895,0.00005625827,0.001097562,0.00063341,0.000009149013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6847225,0.002905336,0.230155,0.003913717,0.0002346292,0.0006283034,0.005501973,0.0003833218,0.0715552],"genre_scores_gemma":[0.9633977,0.0007252876,0.01347032,0.0001423679,0.00003149148,0.0002993304,0.001071092,0.00005287054,0.02080955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051206,"threshold_uncertainty_score":0.2090175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3160129124","doi":"10.3390/agriengineering3020019","title":"Discrete Element Modelling of Soil Compaction of a Press-Wheel","year":2021,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bin; Loam; Water content; Soil compaction; Compaction; Geotechnical engineering; Seeder; Environmental science; Soil science; Rolling resistance; Soil water; Geology; Mathematics; Engineering; Sowing; Agronomy","authors":[{"name":"Kobby Acquah","is_ca":true},{"name":"Ying Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01537367796382387,"gpt":0.1950089038306662,"spread":0.1796352258668423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002735891,0.0004133705,0.0006078844,0.000463738,0.000304853,0.0009535985,0.0009547399,0.001080993,0.001898718],"category_scores_gemma":[0.000616526,0.0005130185,0.0004947171,0.0005103968,0.00050547,0.0004743033,0.0004682669,0.0004105643,0.0004110342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006336551,"about_ca_system_score_gemma":0.0007075786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461619,"about_ca_topic_score_gemma":0.01089575,"domain_scores_codex":[0.9998086,0.00003824579,0.00001410597,0.00003887109,0.00006823135,0.00003209274],"domain_scores_gemma":[0.9997723,0.00009950712,0.0000300426,0.00002748353,0.00004932795,0.00002140359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002968562,0.00002369533,0.001033181,0.00002373373,0.000009091664,0.00005553334,0.00005053779,0.9902081,0.004971216,0.0007669165,0.00008917206,0.002739151],"study_design_scores_gemma":[0.000003874781,0.00001029636,0.0004007995,0.000002620438,0.000002620678,0.000006153905,0.00001034663,0.9986143,0.0005841457,0.00009841714,0.0002626104,0.000003808964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5902318,0.0002564274,0.3878293,0.0001851507,0.00007426428,0.00014317,0.001038827,0.0006744191,0.01956668],"genre_scores_gemma":[0.9676605,0.0001880653,0.02426784,0.00001981263,0.000005263524,0.0001129701,0.0002966843,0.00005839387,0.007390366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01461619,"threshold_uncertainty_score":0.02906221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2971707975","doi":"10.3390/agriengineering1030032","title":"Comparison of Image Texture Based Supervised Learning Classifiers for Strawberry Powdery Mildew Detection","year":2019,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Powdery Mildew Fungal Diseases","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Support vector machine; Pattern recognition (psychology); Powdery mildew; Computer science; Classifier (UML); RGB color model; Mathematics; Agronomy","authors":[{"name":"Young Chang","is_ca":true},{"name":"Md Sultan Mahmud","is_ca":true},{"name":"Jaemyung Shin","is_ca":true},{"name":"Tri Nguyen-Quang","is_ca":true},{"name":"G.W. Price","is_ca":true},{"name":"Balakrishnan Prithiviraj","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01476132861783296,"gpt":0.2381663641607969,"spread":0.2234050355429639,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117074,0.0005837437,0.0006739927,0.001165299,0.000267717,0.0006339382,0.0004883259,0.0005313719,0.000626897],"category_scores_gemma":[0.002771349,0.0001230157,0.000545075,0.0005039847,0.0001764542,0.0005034598,0.0002385031,0.0004104614,0.0003677336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143419,"about_ca_system_score_gemma":0.0005688895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007454883,"about_ca_topic_score_gemma":0.00652008,"domain_scores_codex":[0.9993894,0.0001022911,0.00006733543,0.0001471142,0.0002191314,0.00007476646],"domain_scores_gemma":[0.998219,0.0006026682,0.000165654,0.00009820748,0.0008527932,0.00006165597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001844894,0.0007647491,0.06054844,0.0002932356,0.0003724623,0.0002393529,0.0002060606,0.1384094,0.04256921,0.0005219129,0.003062516,0.7511677],"study_design_scores_gemma":[0.00001739386,0.000323936,0.02891064,0.00002388785,0.00007520744,0.0001059536,0.0001173825,0.9539829,0.01535293,0.0002539285,0.0008132543,0.0000226241],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514792,0.001402406,0.140689,0.0001717252,0.0001695676,0.0001620484,0.0005752378,0.001381408,0.003969274],"genre_scores_gemma":[0.9596267,0.0002366389,0.03784988,0.0000434223,0.0000312536,0.00005750183,0.0007674808,0.00002656165,0.001360673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007454883,"threshold_uncertainty_score":0.01482296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2904949434","doi":"10.3390/agriengineering1010005","title":"A Water Footprint Based Hydro-Economic Model for Minimizing the Blue Water to Green Water Ratio in the Zarrinehrud River-Basin in Iran","year":2018,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Water use; Environmental science; Drainage basin; Water resource management; Cropping; Irrigation; Farm water; Structural basin; Agriculture; Environmental engineering; Hydrology (agriculture); Water conservation; Engineering; Geography; Ecology","authors":[{"name":"Behdad Saed","is_ca":false},{"name":"Abbas Afshar","is_ca":false},{"name":"Mohammad Jalali","is_ca":false},{"name":"Mohammad Ghoreishi","is_ca":true},{"name":"Payam Aminpour","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01446582379391012,"gpt":0.1914558386973761,"spread":0.176990014903466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003834807,0.0005001225,0.0006706995,0.0004723084,0.0006173036,0.001477076,0.001065115,0.001453358,0.002398402],"category_scores_gemma":[0.0005835949,0.0004460278,0.0006754336,0.0005609909,0.0007277317,0.0007150208,0.0007766796,0.0007148038,0.0001336497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913031,"about_ca_system_score_gemma":0.001942504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06886291,"about_ca_topic_score_gemma":0.05255667,"domain_scores_codex":[0.9998698,0.00004324181,0.000004953139,0.00002488189,0.00001848839,0.00003856569],"domain_scores_gemma":[0.9998178,0.00008523208,0.00002707623,0.000005659422,0.00004505994,0.0000192167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001305253,0.00001219278,0.0005556162,0.00001234058,0.000007083666,0.00004762077,0.00001465655,0.9971417,0.0001731255,0.001135762,0.000127057,0.0007598248],"study_design_scores_gemma":[0.000006440846,0.00001105819,0.0002968048,0.000003101092,0.000005877677,0.000005221281,0.00003553435,0.9990103,0.00004290428,0.0004145685,0.0001642561,0.000003847553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8130909,0.0007059834,0.1382399,0.00134534,0.00008225497,0.0001649996,0.0009637555,0.0002142709,0.0451926],"genre_scores_gemma":[0.992556,0.0001603416,0.003385698,0.00002665236,0.000007496381,0.00008236019,0.0001165296,0.00001716739,0.003647725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06886291,"threshold_uncertainty_score":0.1369241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389919760","doi":"10.3390/agriengineering5040150","title":"Harnessing Solar Energy: A Novel Hybrid Solar Dryer for Efficient Fish Waste Processing","year":2023,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Solar dryer; Renewable energy; Environmental science; Water content; Food waste; Solar energy; Fish <Actinopterygii>; Moisture; Waste management; Pulp and paper industry; Materials science; Engineering; Ecology; Biology; Composite material; Fishery","authors":[{"name":"Mohamed Deef","is_ca":false},{"name":"Helal Samy Helal","is_ca":false},{"name":"Islam Elsebaee","is_ca":false},{"name":"Mohammad Nadimi","is_ca":true},{"name":"Jitendra Paliwal","is_ca":true},{"name":"Ayman Ibrahim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02213770818525494,"gpt":0.2057185531039362,"spread":0.1835808449186813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009115628,0.000256192,0.0002663014,0.0002939381,0.0001186267,0.0002714619,0.0003656031,0.0003684774,0.0009123559],"category_scores_gemma":[0.00008672885,0.0001805731,0.0003628659,0.0002608213,0.0001146777,0.0004608628,0.000308621,0.0003144724,0.0003921455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133567,"about_ca_system_score_gemma":0.00008628858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001821777,"about_ca_topic_score_gemma":0.0005351229,"domain_scores_codex":[0.9999187,0.000005312175,0.000006181508,0.00002211373,0.00003591028,0.00001178024],"domain_scores_gemma":[0.9999752,0.000003984465,0.000006464786,0.00000294517,0.000006431615,0.000004986032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005502334,0.0000273598,0.0002094679,0.0001251945,0.00001052814,0.0001080186,0.00001671967,0.0004257126,0.9911129,0.0001421768,0.000159956,0.007606963],"study_design_scores_gemma":[0.00002099903,0.0001638911,0.00124797,0.00000703825,0.00001977681,0.0002150569,0.00002526212,0.006343769,0.9876091,0.00008271589,0.00424881,0.00001566811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625673,0.002401015,0.03009855,0.0002159609,0.0001332063,0.00005026931,0.000301437,0.0003643835,0.00386788],"genre_scores_gemma":[0.9769797,0.00107881,0.01788274,0.0001152588,0.0000260491,0.00004728132,0.0001909312,0.00003886119,0.003640398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009123559,"threshold_uncertainty_score":0.003052175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2978973394","doi":"10.3390/agriengineering1040034","title":"Development of a Novel Enzymatic Pretreatment for Improving the Digestibility of Protein in Feather Meal","year":2019,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Feather meal; Digestion (alchemy); Chemistry; Pepsin; Factorial experiment; Fractional factorial design; Food science; Enzyme; Chromatography; Biochemistry; Biology; Fish meal; Mathematics","authors":[{"name":"Guillaume Pfeuti","is_ca":true},{"name":"Vernon Osborne","is_ca":true},{"name":"Anna K. Shoveller","is_ca":true},{"name":"Eric H. Ignatz","is_ca":true},{"name":"Dominique Bureau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00889771709708713,"gpt":0.2105338400442626,"spread":0.2016361229471754,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000315636,0.0007212816,0.0005445243,0.0002868809,0.0001640589,0.0003726358,0.0002652333,0.0005315176,0.0005104912],"category_scores_gemma":[0.0001968649,0.0002549707,0.0005964891,0.0002252378,0.0001987294,0.0004747377,0.0003186675,0.0007305013,0.0002772683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387768,"about_ca_system_score_gemma":0.0003597529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005028268,"about_ca_topic_score_gemma":0.001384729,"domain_scores_codex":[0.9997676,0.00002886809,0.00001909154,0.00007308639,0.00007759621,0.00003379759],"domain_scores_gemma":[0.9999162,0.00001100004,0.00003236496,0.000006716022,0.00001941789,0.00001418713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001814081,0.00001762093,0.00005449194,0.00004925355,0.000003610072,0.00001511688,0.000003428931,0.0000373686,0.9985662,0.00001763776,0.000006887793,0.001210452],"study_design_scores_gemma":[0.000006819048,0.0003057877,0.001629497,0.00000898328,0.00002347917,0.0000992011,0.00001215956,0.0006155843,0.9956431,0.00001539411,0.001633608,0.000006447691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150146,0.00549953,0.07644565,0.0001969738,0.0001364976,0.0003517373,0.0003213981,0.0001946058,0.001838967],"genre_scores_gemma":[0.8683951,0.003728747,0.1234861,0.0001784827,0.00003825216,0.0001942344,0.0006719722,0.00006309729,0.00324401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007212816,"threshold_uncertainty_score":0.001732469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4381322598","doi":"10.3390/agriengineering5020055","title":"Development and Assessment of a Field-Programmable Gate Array (FPGA)-Based Image Processing (FIP) System for Agricultural Field Monitoring Applications","year":2023,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"National Institute of Food and Agriculture; Natural Sciences and Engineering Research Council of Canada; Mitacs; U.S. Department of Agriculture","keywords":"Computer science; Field-programmable gate array; Image processing; Field (mathematics); Artificial intelligence; Embedded system; Image (mathematics)","authors":[{"name":"Sabiha Shahid Antora","is_ca":true},{"name":"Young Chang","is_ca":true},{"name":"Tri Nguyen-Quang","is_ca":true},{"name":"Brandon Heung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01610189626561702,"gpt":0.2435536442562823,"spread":0.2274517479906653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007883001,0.000381357,0.000242062,0.0004234338,0.0001865179,0.000574958,0.0007585998,0.0004131119,0.002252132],"category_scores_gemma":[0.0009601479,0.0001174586,0.0001610696,0.0002475827,0.0002389102,0.0005663114,0.0002186355,0.0002420343,0.0005629795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004768946,"about_ca_system_score_gemma":0.0006807613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194108,"about_ca_topic_score_gemma":0.001129406,"domain_scores_codex":[0.9995875,0.00007659775,0.00002593601,0.00007081642,0.0001947573,0.00004439095],"domain_scores_gemma":[0.9994817,0.00008273217,0.00004860054,0.00007815345,0.0002762764,0.00003254998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006253041,0.0003999994,0.01304754,0.0009186573,0.0000847812,0.0006588458,0.0001987664,0.02391824,0.4649799,0.00409281,0.003700396,0.4873747],"study_design_scores_gemma":[0.0002795494,0.009475737,0.05000836,0.0002112255,0.0002123873,0.002511727,0.0003080798,0.2069218,0.6800529,0.00110167,0.04879236,0.0001241906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4368817,0.0008155701,0.5413601,0.0004346995,0.0002650228,0.002265315,0.0007614422,0.003456588,0.01375955],"genre_scores_gemma":[0.7697201,0.0004144082,0.2243075,0.000126623,0.00001883404,0.000444731,0.0004887739,0.00006934741,0.004409741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002252132,"threshold_uncertainty_score":0.007534146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3035068675","doi":"10.3390/agriengineering2020022","title":"Development and Evaluation of a Closed-Loop Control System for Automation of a Mechanical Wild Blueberry Harvester’s Picking Reel","year":2020,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Automation; Actuator; Reel; Automotive engineering; Engineering; Simulation; Function (biology); Computer science; Control theory (sociology); Control engineering; Mechanical engineering; Control (management); Electrical engineering; Artificial intelligence","authors":[{"name":"Travis J. Esau","is_ca":true},{"name":"Craig B. MacEachern","is_ca":true},{"name":"Qamar U. Zaman","is_ca":true},{"name":"Aitazaz A. Farooque","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03141878801240074,"gpt":0.2140644407857622,"spread":0.1826456527733615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001055447,0.0004072411,0.0004476076,0.0003477565,0.0004230166,0.0006262446,0.001205294,0.0005617825,0.003306917],"category_scores_gemma":[0.001504216,0.0002131618,0.0002647586,0.0001190518,0.0003176135,0.000490332,0.0003727787,0.0003704671,0.0007458858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003978251,"about_ca_system_score_gemma":0.0008087152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002424125,"about_ca_topic_score_gemma":0.001573002,"domain_scores_codex":[0.9993063,0.00006841309,0.00004563765,0.000160028,0.0003558411,0.00006379587],"domain_scores_gemma":[0.9989562,0.0002135327,0.00008712949,0.0001000999,0.0005690818,0.0000738262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008459592,0.001173107,0.004542588,0.0005592527,0.00007623481,0.000525128,0.000770773,0.01674957,0.7624058,0.001333664,0.002223484,0.2087945],"study_design_scores_gemma":[0.0005718883,0.01081616,0.02049145,0.0001001096,0.0001684154,0.0006859789,0.000313349,0.360529,0.5846473,0.0004337486,0.02110176,0.0001408906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3811643,0.000218913,0.6031307,0.0002858851,0.0002255344,0.00170474,0.0002229087,0.007165318,0.005881685],"genre_scores_gemma":[0.8704116,0.00008466218,0.1222971,0.0001340865,0.00002769613,0.0004931228,0.0002057108,0.0001044553,0.006241655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003306917,"threshold_uncertainty_score":0.01106274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2931984463","doi":"10.3390/agriengineering1020011","title":"Assessment of Gaseous Emissions from Cattle Abattoir Wastes in Cameroon","year":2019,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Greenhouse gas; Nitrous oxide; Methane; Beef cattle; Animal science; Waste management; Environmental engineering; Chemistry; Biology; Ecology","authors":[{"name":"Ngwa Martin Ngwabie","is_ca":false},{"name":"Andrew VanderZaag","is_ca":true},{"name":"Paulicle Nji","is_ca":false},{"name":"Gerald Tembong","is_ca":false},{"name":"Theodore Chenwi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00224489358998617,"gpt":0.1973948136489724,"spread":0.1951499200589862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005453725,0.0007147742,0.0003228367,0.001178237,0.000665297,0.00101744,0.0002898313,0.0004536919,0.0009629375],"category_scores_gemma":[0.0002484508,0.0002963806,0.0003298702,0.001670318,0.0003623256,0.0004358883,0.0003233597,0.0002188146,0.0001584219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910352,"about_ca_system_score_gemma":0.0008461004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06315099,"about_ca_topic_score_gemma":0.1057342,"domain_scores_codex":[0.9997491,0.00005919521,0.00001338809,0.00005037467,0.00005653448,0.00007145244],"domain_scores_gemma":[0.9998177,0.00003807342,0.00004987066,0.000005417408,0.00006870589,0.0000204227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001384874,0.0001860587,0.8194932,0.0004767507,0.0001367041,0.003202122,0.001123903,0.008423734,0.1388094,0.0002708616,0.0003968323,0.02609557],"study_design_scores_gemma":[0.00002529231,0.000487008,0.9685242,0.0001088625,0.0000959529,0.0004669773,0.003877162,0.008640276,0.01575631,0.0001040472,0.001881837,0.00003204189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984681,0.0003048806,0.0004121111,0.00002134666,0.000003485145,0.00002522707,0.0003440333,0.000005359355,0.000415455],"genre_scores_gemma":[0.9971896,0.0006016018,0.001126197,0.00002708387,0.000002954969,0.00003275065,0.0005641521,0.000005977211,0.0004497049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06315099,"threshold_uncertainty_score":0.1255668,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411420065","doi":"10.3390/agriengineering7060196","title":"Smart Edge Computing Framework for Real-Time Brinjal Harvest Decision Optimization","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Overhead (engineering); Edge device; Real-time computing; Artificial intelligence; Data mining; Cloud computing","authors":[{"name":"T. Tamilarasi","is_ca":false},{"name":"P. Muthulakshmi","is_ca":false},{"name":"Seyed‐Hassan Miraei Ashtiani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007068206899098841,"gpt":0.2148847944726144,"spread":0.2078165875735156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003202351,0.0006970917,0.0006100321,0.0004282111,0.0003859201,0.0009304743,0.001258,0.0005399985,0.003478419],"category_scores_gemma":[0.0007611368,0.0003018743,0.0005834064,0.0003915749,0.0002812495,0.0007683995,0.0008763039,0.0007220588,0.0007149077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004699957,"about_ca_system_score_gemma":0.0007549803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00486979,"about_ca_topic_score_gemma":0.007715609,"domain_scores_codex":[0.9997924,0.00002220027,0.00001291637,0.00005855504,0.00007419515,0.00003972411],"domain_scores_gemma":[0.9998521,0.00004766164,0.00001519534,0.00001803483,0.00004995144,0.00001719965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004772687,0.00020984,0.002884294,0.0002011001,0.00006476487,0.0003411064,0.000148162,0.7420955,0.02108506,0.01490611,0.009365388,0.2082214],"study_design_scores_gemma":[0.000009259707,0.00002030033,0.0001735258,0.000004064314,0.000005021689,0.00001425339,0.00001258505,0.9942961,0.00168394,0.002115628,0.001658703,0.000006499838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0222462,0.0002867446,0.9686401,0.0001681313,0.00007799602,0.00008414598,0.0002570139,0.004002766,0.004236831],"genre_scores_gemma":[0.5074069,0.0004110354,0.4849168,0.0002849805,0.00006352658,0.0003077371,0.00113203,0.00042716,0.005049856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00486979,"threshold_uncertainty_score":0.01163644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4381662389","doi":"10.3390/agriengineering5020070","title":"Assessing the Effects of Free Fall Conditions on Damage to Corn Seeds: A Comprehensive Examination of Contributing Factors","year":2023,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Germination; Crop; Water content; Environmental science; Moisture; Breakage; Drop (telecommunication); Agronomy; Toxicology; Biology; Materials science; Composite material; Engineering","authors":[{"name":"Reza Shahbazi","is_ca":false},{"name":"Feizollah Shahbazi","is_ca":false},{"name":"Mohammad Nadimi","is_ca":true},{"name":"Jitendra Paliwal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009152844208951296,"gpt":0.221359198009403,"spread":0.2122063538004517,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004495648,0.0005662175,0.0005334805,0.0005888237,0.0003677162,0.0005582857,0.000308669,0.0004219478,0.0005671286],"category_scores_gemma":[0.0004580321,0.0002040144,0.0007031303,0.0004664815,0.0002489627,0.0003695715,0.0004234891,0.0003721137,0.0001187017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000490922,"about_ca_system_score_gemma":0.0003014573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008545001,"about_ca_topic_score_gemma":0.01103621,"domain_scores_codex":[0.9996779,0.00003126222,0.00002282721,0.00006860516,0.0001585805,0.00004071743],"domain_scores_gemma":[0.9995248,0.0001595097,0.0001316223,0.00002682785,0.0001190081,0.00003812548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009082243,0.0007939072,0.5043235,0.001089208,0.0003943899,0.001097029,0.0005814967,0.05187904,0.3659576,0.0002113162,0.0004493974,0.0723149],"study_design_scores_gemma":[0.000007021551,0.001134032,0.956993,0.00003231066,0.0001064769,0.0002652332,0.0003657273,0.01641571,0.02378536,0.00008624019,0.0007752706,0.00003355595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970175,0.0004086139,0.001538166,0.00001458113,0.00000485109,0.00004909787,0.0002800346,0.00001874838,0.0006683949],"genre_scores_gemma":[0.9972378,0.0004221376,0.001457338,0.00001499556,0.000003235567,0.00002782651,0.0003697949,0.000008586053,0.0004582461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008545001,"threshold_uncertainty_score":0.01699054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402642211","doi":"10.3390/agriengineering6030191","title":"Application of a Real-Time Field-Programmable Gate Array-Based Image-Processing System for Crop Monitoring in Precision Agriculture","year":2024,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"National Institute of Food and Agriculture; Natural Sciences and Engineering Research Council of Canada; Mitacs; U.S. Department of Agriculture","keywords":"Precision agriculture; Field (mathematics); Image processing; Computer science; Field crop; Crop; Agricultural engineering; Agriculture; Real-time computing; Computer vision; Artificial intelligence; Image (mathematics); Engineering; Agronomy; Mathematics; Geography; Biology","authors":[{"name":"Sabiha Shahid Antora","is_ca":true},{"name":"Mohammad Ashik Alahe","is_ca":false},{"name":"Young Chang","is_ca":true},{"name":"Tri Nguyen-Quang","is_ca":true},{"name":"Brandon Heung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006550798263345978,"gpt":0.2139643527821186,"spread":0.2074135545187726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000249138,0.0003734796,0.0002677071,0.0004749783,0.0001698241,0.0005080892,0.0007241906,0.0003280284,0.002145874],"category_scores_gemma":[0.0004054417,0.0001407738,0.0001565378,0.0004243705,0.0001699941,0.000427787,0.0002217658,0.0002347438,0.0007457422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466752,"about_ca_system_score_gemma":0.000376173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451003,"about_ca_topic_score_gemma":0.002020495,"domain_scores_codex":[0.9997537,0.0000264933,0.0000138817,0.00007508136,0.00009866164,0.00003227267],"domain_scores_gemma":[0.9997829,0.00003889066,0.00003538193,0.00003633634,0.00009430728,0.00001221486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007125664,0.0002129578,0.01529535,0.0006941679,0.0001179665,0.0006933065,0.0003364789,0.01543273,0.3633244,0.003128429,0.01118591,0.5888656],"study_design_scores_gemma":[0.0002074407,0.001750886,0.04453918,0.0002086884,0.0003189327,0.002818448,0.0002505572,0.3073517,0.5666545,0.002249804,0.0734547,0.0001951172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2466667,0.001131375,0.7177548,0.0003874488,0.0004352836,0.0004990256,0.001083276,0.01385027,0.01819178],"genre_scores_gemma":[0.8317382,0.0004297704,0.1609353,0.0003199392,0.00005297968,0.0002015156,0.0004694937,0.00009224007,0.005760537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002145874,"threshold_uncertainty_score":0.007178724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004643398","doi":"10.3390/agriengineering2010007","title":"Evaluation of Alternative Annular Denuder Systems for the Collection of Fine Aerosol Particulate Matter","year":2020,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Particulates; Aerosol; Deposition (geology); Environmental science; Particle (ecology); Air filter; Environmental engineering; Ammonia; Fraction (chemistry); Environmental chemistry; Meteorology; Chemistry; Engineering; Inlet; Physics","authors":[{"name":"Jennifer Spencer","is_ca":true},{"name":"V.R. Osborne","is_ca":true},{"name":"Bill Van Heyst","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06412066737802072,"gpt":0.2982208405315903,"spread":0.2341001731535696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001920583,0.0005125971,0.0004496175,0.0004454893,0.0004290248,0.0007967193,0.0009401588,0.0005415595,0.0005515203],"category_scores_gemma":[0.001314479,0.00026826,0.0003955969,0.0003583145,0.0002779944,0.0005929795,0.000579867,0.0003864867,0.0002072272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004068249,"about_ca_system_score_gemma":0.0005833961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004332008,"about_ca_topic_score_gemma":0.005943204,"domain_scores_codex":[0.9987935,0.0002609361,0.0001367164,0.0002755916,0.0004309345,0.0001023285],"domain_scores_gemma":[0.9989616,0.0002986603,0.0001315622,0.00009551137,0.0004272879,0.00008543103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001896513,0.0006345688,0.01227321,0.0004846159,0.000122579,0.0001468332,0.000360444,0.002452222,0.9581065,0.0003158811,0.000151731,0.02305494],"study_design_scores_gemma":[0.0001285623,0.0102849,0.03219374,0.00006112964,0.0002646785,0.0003891691,0.0006322695,0.01348455,0.9380434,0.0001094529,0.004332939,0.00007513884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905565,0.0006639583,0.00773182,0.00003211274,0.00002769377,0.0001614984,0.0002190493,0.00005847086,0.0005487662],"genre_scores_gemma":[0.9480194,0.00177648,0.04775432,0.00009599464,0.00002523545,0.0002592122,0.000806599,0.00002777749,0.001234971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004332008,"threshold_uncertainty_score":0.01015711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2968696525","doi":"10.3390/agriengineering1030031","title":"Optimizing a Bi-Objective Mathematical Model for Minimizing Spraying Time and Drift Proportion","year":2019,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Agriculture, Faisalabad; Canada Foundation for Innovation; Nova Scotia Research Innovation Trust","keywords":"Boom; Agriculture; Mathematical optimization; Agricultural engineering; Population; Nonlinear programming; Nozzle; Integer programming; Constraint (computer-aided design); Mathematical model; Nonlinear system; Computer science; Mathematics; Environmental science; Engineering; Environmental engineering; Mechanical engineering; Statistics; Geography","authors":[{"name":"Muhammad Sajid Nadeem","is_ca":true},{"name":"Claver Diallo","is_ca":true},{"name":"Tri Nguyen-Quang","is_ca":true},{"name":"Uday Venkatadri","is_ca":true},{"name":"Peter Havard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01244626287267171,"gpt":0.1840630059377304,"spread":0.1716167430650587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001500973,0.001485132,0.001487817,0.0007844648,0.0005217355,0.002030005,0.001528346,0.002582981,0.004480964],"category_scores_gemma":[0.002393564,0.0009821946,0.001214153,0.001004263,0.0008014502,0.0009433352,0.001013503,0.001627975,0.0005307758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389539,"about_ca_system_score_gemma":0.001806204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129421,"about_ca_topic_score_gemma":0.007982574,"domain_scores_codex":[0.9994759,0.0001893558,0.00002436563,0.0001043862,0.0001018185,0.0001040879],"domain_scores_gemma":[0.998897,0.0007405885,0.000124379,0.00002140156,0.0001774846,0.00003921246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001152195,0.0000123931,0.0001202469,0.00003562803,0.00000999016,0.0000305018,0.000008617446,0.997308,0.0001831896,0.000983608,0.0001440139,0.001152336],"study_design_scores_gemma":[0.000004820619,0.00001254432,0.00005308214,0.000004974505,0.00000590771,0.000004119595,0.000006379763,0.9993765,0.00007128209,0.000306322,0.0001518682,0.000002302252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06529085,0.001456805,0.9107101,0.0008598975,0.000144851,0.0002312714,0.0006412991,0.0002893926,0.02037556],"genre_scores_gemma":[0.866164,0.001376414,0.1091189,0.0002636761,0.00006610853,0.001124962,0.0006005882,0.0001230514,0.02116217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0129421,"threshold_uncertainty_score":0.02573353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409297322","doi":"10.3390/agriengineering7040112","title":"Using Drones to Predict Degradation of Surface Drainage on Agricultural Fields: A Case Study of the Atlantic Dykelands","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Plant responses to water stress","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Dalhousie University","keywords":"Drone; Degradation (telecommunications); Drainage; Agriculture; Environmental science; Geography; Engineering; Archaeology; Biology; Ecology; Electrical engineering; Botany","authors":[{"name":"Mathieu F. Bilodeau","is_ca":true},{"name":"Travis J. Esau","is_ca":true},{"name":"Qamar uz Zaman","is_ca":true},{"name":"Brandon Heung","is_ca":true},{"name":"Aitazaz A. Farooque","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01805920007921278,"gpt":0.2246833969738615,"spread":0.2066241968946488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001950962,0.0003322883,0.0001874012,0.0003801713,0.0003060837,0.0005454713,0.0003156204,0.0003814935,0.0005047611],"category_scores_gemma":[0.0004970531,0.0001289944,0.000243571,0.0004210394,0.0002415347,0.0003038841,0.0002664101,0.0002915351,0.00008909299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008673779,"about_ca_system_score_gemma":0.0005335227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1325856,"about_ca_topic_score_gemma":0.2481256,"domain_scores_codex":[0.9999257,0.00001333543,0.000005376144,0.00002066811,0.00001422086,0.00002076092],"domain_scores_gemma":[0.9997914,0.00009259069,0.00002640677,0.0000199225,0.00003632591,0.00003319773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003901987,0.000655912,0.648491,0.00006767835,0.0001102661,0.003297691,0.0005816301,0.3019364,0.007838259,0.0003685549,0.0007791693,0.0354833],"study_design_scores_gemma":[0.00005168998,0.0002557111,0.2912613,0.00001851738,0.00004259605,0.000207472,0.001786685,0.7022367,0.002766544,0.0002451541,0.001095707,0.00003207686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992649,0.00001455949,0.0002905605,0.00002191094,0.000001475234,0.000007044984,0.0001310706,0.0000137629,0.0002547785],"genre_scores_gemma":[0.9985803,0.00003348313,0.0008790321,0.000005894773,0.000001176573,0.000005056387,0.0002541392,0.000002788767,0.0002380679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1325856,"threshold_uncertainty_score":0.2636278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416209831","doi":"10.3390/agriengineering7110387","title":"Automation in the Shellfish Aquaculture Sector to Ensure Sustainability and Food Security","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Food security; Sustainability; Aquaculture; Shellfish; Transparency (behavior); Automation; Quality (philosophy); Sustainable development","authors":[{"name":"S. Thayalan","is_ca":true},{"name":"Shubham Subrot Panigrahi","is_ca":false},{"name":"N Thirugnanam","is_ca":true},{"name":"B. William Dharma Raja","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003341364561156201,"gpt":0.2075306425628117,"spread":0.2041892780016555,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00125249,0.000401385,0.0004066386,0.001044465,0.000354841,0.001992088,0.0005054332,0.0006818795,0.002821227],"category_scores_gemma":[0.001174812,0.0001414689,0.000440086,0.001361647,0.0007220526,0.001901448,0.0008816444,0.0007244778,0.0006506506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009463969,"about_ca_system_score_gemma":0.0035033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003120051,"about_ca_topic_score_gemma":0.004865893,"domain_scores_codex":[0.9990244,0.0002480694,0.0001162435,0.0001211954,0.0003840902,0.0001060011],"domain_scores_gemma":[0.9991448,0.0002928315,0.0001681771,0.00004449689,0.0002997215,0.00005003187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000963153,0.0001151697,0.004884846,0.02127485,0.000179498,0.0007819655,0.0008743082,0.003955042,0.02859776,0.08220565,0.01322218,0.8438125],"study_design_scores_gemma":[0.000009586259,0.0002945069,0.007562059,0.005958205,0.0001591123,0.0007020886,0.001402048,0.0008796561,0.009936337,0.01803705,0.9550158,0.00004358288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03989074,0.8183263,0.03240519,0.01227613,0.001341656,0.0001653454,0.0004382221,0.0002119944,0.09494448],"genre_scores_gemma":[0.2299192,0.7334253,0.02132655,0.002468748,0.0003994691,0.000101806,0.0003593545,0.00002926598,0.01197029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003120051,"threshold_uncertainty_score":0.009437978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415991657","doi":"10.3390/agriengineering7110376","title":"A Machine Learning Framework for Classifying Thermal Stress in Bean Plants Using Hyperspectral Data","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Fundação para o Desenvolvimento da UNESP; Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Hyperspectral imaging; Artificial neural network; Identification (biology); Precision agriculture; Key (lock); Stress (linguistics)","authors":[{"name":"Lucas Prado Osco","is_ca":false},{"name":"Érika Akemi Saito Moriya","is_ca":false},{"name":"Bruna Coelho de Lima","is_ca":false},{"name":"Ana Paula Marques Ramos","is_ca":false},{"name":"José Marcato","is_ca":false},{"name":"Wesley Nunes Gonçalves","is_ca":false},{"name":"Lúcio André de Castro Jorge","is_ca":false},{"name":"Veraldo Liesenberg","is_ca":false},{"name":"Jonathan Li","is_ca":true},{"name":"Ademir Sérgio Ferreira de Araújo","is_ca":false},{"name":"Nilton Nobuhiro Imai","is_ca":false},{"name":"Fábio Fernando de Araújo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02187735408096447,"gpt":0.2548308637705654,"spread":0.2329535096896009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348622,0.0007411145,0.0004914878,0.0009176779,0.000443686,0.0008406186,0.0008605612,0.0008287936,0.0006419494],"category_scores_gemma":[0.00112456,0.0002015603,0.0007337875,0.0004562687,0.0005444984,0.0006725108,0.0005082589,0.0008252399,0.0002662475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007503197,"about_ca_system_score_gemma":0.0008197309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007256853,"about_ca_topic_score_gemma":0.006728265,"domain_scores_codex":[0.9996933,0.00008770718,0.00001919028,0.00009916145,0.00006658248,0.00003409982],"domain_scores_gemma":[0.9997543,0.00007784036,0.00004158293,0.00002015967,0.00009224644,0.00001391418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008273603,0.0002476125,0.002663936,0.0001048866,0.0001503318,0.000104166,0.00009181533,0.7706026,0.01873336,0.01192573,0.00143161,0.1938613],"study_design_scores_gemma":[0.000001902722,0.00002949246,0.000511492,0.00000540019,0.000007534954,0.0000150626,0.000008491108,0.9959435,0.001048305,0.002046567,0.0003758113,0.000006494545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01594241,0.0002697626,0.9826093,0.0001459711,0.0000223376,0.00003916735,0.00007244544,0.0002772479,0.0006215323],"genre_scores_gemma":[0.4457287,0.0005002195,0.5498143,0.0001596217,0.000119539,0.0002854061,0.0004416836,0.00005264427,0.002897983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007256853,"threshold_uncertainty_score":0.01442927,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416139232","doi":"10.3390/agriengineering7110384","title":"Energy, Environmental and Economic Analysis of Broiler Production Systems with and Without Photovoltaic Systems","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Photovoltaic system; Production (economics); Electricity; Economic analysis; Life-cycle assessment; Broiler; Litter; Ventilation (architecture)","authors":[{"name":"Luan Ribeiro Braga","is_ca":false},{"name":"Natália dos Santos Renato","is_ca":false},{"name":"Nilsa Duarte da Silva Lima","is_ca":false},{"name":"Clândio Favarini Ruviaro","is_ca":false},{"name":"Nicole Bamber","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.001769988130844234,"gpt":0.1604166407133089,"spread":0.1586466525824647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008786413,0.0006279811,0.0004303687,0.000966512,0.000364649,0.0007208044,0.0004124158,0.0003260715,0.001280402],"category_scores_gemma":[0.000930192,0.0002678148,0.0008968056,0.000669338,0.000282019,0.0005470049,0.0003313497,0.0002465462,0.0001169256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099749,"about_ca_system_score_gemma":0.0006029006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910958,"about_ca_topic_score_gemma":0.03220694,"domain_scores_codex":[0.999582,0.0001190017,0.0000194485,0.00005170182,0.0001185637,0.0001093213],"domain_scores_gemma":[0.9993299,0.0003620206,0.00006199265,0.00003548847,0.0001717077,0.00003896405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001984273,0.0007807278,0.1590239,0.0006593104,0.0005153277,0.001726276,0.0001505012,0.7192824,0.06880699,0.00157113,0.0004661909,0.04503295],"study_design_scores_gemma":[0.0001158282,0.003416149,0.5145972,0.00007294506,0.0005184687,0.0003357988,0.0008836684,0.4403093,0.03696388,0.0008326275,0.001891906,0.00006201924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997264,0.00010492,0.0009539888,0.00001839665,0.000003347385,0.00005355683,0.0002172082,0.000009776145,0.00137475],"genre_scores_gemma":[0.9988841,0.00006355387,0.0005099903,0.000002794472,9.45883e-7,0.00001596382,0.0001710331,0.000003815534,0.0003478717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01910958,"threshold_uncertainty_score":0.03799671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403302772","doi":"10.3390/agriengineering6040211","title":"A Machine Vision System for Monitoring Wild Birds on Poultry Farms to Prevent Avian Influenza","year":2024,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Influenza A virus subtype H5N1; Poultry farming; Poultry meat; Avian influenza virus; Veterinary medicine; Biology; Virology; Medicine; Food science","authors":[{"name":"Xiao Yang","is_ca":false},{"name":"Ramesh Bahadur Bist","is_ca":false},{"name":"Sachin Subedi","is_ca":false},{"name":"Zihao Wu","is_ca":false},{"name":"Tianming Liu","is_ca":false},{"name":"Bidur Paneru","is_ca":false},{"name":"Lilong Chai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00880628139550803,"gpt":0.2715787825539288,"spread":0.2627725011584208,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004244591,0.0006869147,0.0005517656,0.0006295615,0.0003549874,0.0003945593,0.0008691802,0.0006954472,0.001448661],"category_scores_gemma":[0.0005175126,0.0002757133,0.0004549745,0.0002774064,0.0001569551,0.0004948548,0.0003971722,0.0006951238,0.0007508293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434654,"about_ca_system_score_gemma":0.0007439716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240091,"about_ca_topic_score_gemma":0.0135717,"domain_scores_codex":[0.999734,0.00002115773,0.00001306552,0.000113823,0.00006611083,0.00005181374],"domain_scores_gemma":[0.9997991,0.00003371968,0.00002112701,0.00001654364,0.0001061791,0.00002338199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005267626,0.0008381194,0.01246768,0.0002504169,0.0001746523,0.0006043286,0.0001295962,0.1025918,0.1121912,0.000877414,0.01891006,0.7504381],"study_design_scores_gemma":[0.00002677691,0.0002833469,0.008079939,0.00002024781,0.00003540548,0.0001128603,0.00002566625,0.975472,0.0128193,0.000316162,0.002786634,0.00002158417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3226006,0.002100636,0.6429397,0.0006200678,0.0008827475,0.0005488264,0.001721703,0.0184778,0.01010787],"genre_scores_gemma":[0.8026075,0.0003490083,0.1877123,0.0004740505,0.0000611672,0.0002201099,0.001795007,0.00006205215,0.006718883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01240091,"threshold_uncertainty_score":0.02465743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413825716","doi":"10.3390/agriengineering7090279","title":"Development and Validation of a Low-Cost DAQ for the Detection of Soil Bulk Electrical Conductivity and Encoding of Visual Data","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Università di Pisa; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Data acquisition; Encoding (memory); Electrical resistivity and conductivity; Conductivity; Computer science; Remote sensing; Process engineering; Artificial intelligence; Engineering; Electrical engineering; Chemistry; Geology","authors":[{"name":"Fatma Hamouda","is_ca":false},{"name":"Lorenzo Bonzi","is_ca":false},{"name":"Marco Carrara","is_ca":false},{"name":"Àngela Puig-Sirera","is_ca":false},{"name":"Giovanni Rallo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01842441727399,"gpt":0.2482741186047759,"spread":0.2298497013307859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003209362,0.0007526237,0.0005880693,0.001129805,0.0004820312,0.0008733198,0.001512728,0.001106811,0.001683645],"category_scores_gemma":[0.003961254,0.0003752781,0.0005114378,0.0007632541,0.000757752,0.0008673776,0.0008125168,0.0007693666,0.001060291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005386557,"about_ca_system_score_gemma":0.001013936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471868,"about_ca_topic_score_gemma":0.002931718,"domain_scores_codex":[0.9981294,0.000265635,0.000179319,0.0004225557,0.0009041824,0.00009889969],"domain_scores_gemma":[0.9978527,0.0003977142,0.0002140357,0.0002889211,0.00110276,0.0001439242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008231444,0.0001826848,0.002667716,0.000188424,0.00002716628,0.00009866973,0.00009622451,0.001377404,0.9695851,0.000462949,0.0005416119,0.02468976],"study_design_scores_gemma":[0.00006911244,0.001363864,0.01792588,0.00004999601,0.00006514325,0.0006258618,0.0001558602,0.04627028,0.9189469,0.0003056129,0.01410363,0.0001179186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.292142,0.0005759181,0.6989486,0.0003117931,0.0002448172,0.00223829,0.001722903,0.002225381,0.001590258],"genre_scores_gemma":[0.341661,0.0004686574,0.6502185,0.0003094334,0.00005620574,0.00195051,0.002058864,0.0003090476,0.002967767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003209362,"threshold_uncertainty_score":0.01697296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411234722","doi":"10.3390/agriengineering7060188","title":"Implementation of Modular Depot Concept for Switchgrass Pellet Production in the Piedmont","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Depot; Pellet; Modular design; Production (economics); Business; Environmental science; Computer science; Economics; Geography; Materials science; Operating system; Microeconomics","authors":[{"name":"Jonathan P. Resop","is_ca":false},{"name":"John S. Cundiff","is_ca":false},{"name":"S. Sokhansanj","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005102279485437381,"gpt":0.2342730125917206,"spread":0.2291707331062832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004076702,0.0005192581,0.0002509426,0.0004167413,0.0004851803,0.0007798219,0.0009250957,0.000350304,0.001530762],"category_scores_gemma":[0.0002907859,0.0002170757,0.0005232138,0.0005538685,0.0002817382,0.0005097232,0.000481047,0.0004110472,0.0002775701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317233,"about_ca_system_score_gemma":0.001056472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158792,"about_ca_topic_score_gemma":0.03961618,"domain_scores_codex":[0.9997366,0.00003093721,0.00001259683,0.00007388641,0.00007411464,0.00007174071],"domain_scores_gemma":[0.9997497,0.00002556896,0.00005428887,0.00003396407,0.00007781025,0.00005859835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001155771,0.001381534,0.02357222,0.0004094588,0.00008464068,0.001357673,0.0003131044,0.06116114,0.8107595,0.001368501,0.0006865654,0.09774975],"study_design_scores_gemma":[0.0002426637,0.007265521,0.1048129,0.00005131746,0.0001470778,0.0005951195,0.001186848,0.1585613,0.7058286,0.0005232996,0.02063998,0.0001452339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818387,0.0001138326,0.01551317,0.00005478823,0.00002569014,0.0001541464,0.0001993635,0.0001447392,0.001955647],"genre_scores_gemma":[0.9638581,0.0001598761,0.03378956,0.00002934239,0.000003134216,0.00007694922,0.0002208486,0.00001804202,0.001844198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02158792,"threshold_uncertainty_score":0.04292452,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415816801","doi":"10.3390/agriengineering7110362","title":"FEA Modal and Vibration Analysis of the Operator’s Seat in the Context of a Modern Electric Tractor for Improved Comfort and Safety","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National University of Science and Technology","keywords":"Tractor; Vibration; Context (archaeology); Finite element method; Acceleration; Accelerometer; Natural frequency; Frequency domain; Modal analysis","authors":[{"name":"Teofil-Alin Oncescu","is_ca":false},{"name":"S. Ş. Biriş","is_ca":false},{"name":"I. Găgeanu","is_ca":false},{"name":"V. Vlăduţ","is_ca":false},{"name":"Ioan Catalin Persu","is_ca":false},{"name":"Stefan-Lucian Bostina","is_ca":false},{"name":"Florin Nenciu","is_ca":false},{"name":"M. Matache","is_ca":false},{"name":"Ana-Maria Tăbărașu","is_ca":false},{"name":"Gabriel Gheorghe","is_ca":false},{"name":"Daniela Tarniţă","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006086654743348545,"gpt":0.2622783602640816,"spread":0.2561917055207331,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002673683,0.0003800173,0.0002334094,0.0002510374,0.0002197226,0.0004003316,0.0004655256,0.0006408744,0.002625493],"category_scores_gemma":[0.0003551734,0.0001678575,0.0004038463,0.0001110752,0.0002129202,0.0001986598,0.0003080821,0.0001719877,0.0004450915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716899,"about_ca_system_score_gemma":0.0003417683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00432236,"about_ca_topic_score_gemma":0.00294799,"domain_scores_codex":[0.9999176,0.0000179085,0.00000400147,0.00001783602,0.00002823685,0.00001437287],"domain_scores_gemma":[0.9999088,0.00003815595,0.00001158545,0.00001293235,0.00002049637,0.000008086443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000408667,0.0001527346,0.01319628,0.000232586,0.00004140333,0.0007253248,0.000726974,0.7730707,0.1691909,0.001382655,0.0007833684,0.04008837],"study_design_scores_gemma":[0.00001378635,0.0002644958,0.01120743,0.0000179159,0.0000223724,0.0001268595,0.0003005924,0.9783297,0.007739206,0.0002643052,0.001694952,0.00001839261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8477385,0.0001080668,0.147424,0.00006563233,0.00002223202,0.00005480346,0.0002619881,0.0003236025,0.004001159],"genre_scores_gemma":[0.9897348,0.00005134528,0.007782442,0.000007913864,0.000002764891,0.00002935863,0.00009650258,0.00001758865,0.002277356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00432236,"threshold_uncertainty_score":0.008783162,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411329762","doi":"10.3390/agriengineering7060193","title":"Jasmine Flower Color Degradation User-Coded Computer Vision Image Analysis Tool and Kinetics Modeling","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Agricultural Research Service; National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Degradation (telecommunications); Computer science; Image (mathematics); Computer vision; Artificial intelligence; Computer graphics (images); Telecommunications","authors":[{"name":"Humeera Tazeen","is_ca":false},{"name":"Anne Joice","is_ca":false},{"name":"Talha Tufaique","is_ca":false},{"name":"C. Igathinathane","is_ca":false},{"name":"Ademola Ajayi-Banji","is_ca":false},{"name":"Zhao Zhang","is_ca":false},{"name":"Craig W. Whippo","is_ca":false},{"name":"Drew A. Scott","is_ca":false},{"name":"John Hendrickson","is_ca":false},{"name":"David W. Archer","is_ca":false},{"name":"Lester O. Pordesimo","is_ca":false},{"name":"S. Sokhansanj","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004558395875064083,"gpt":0.2373173424232166,"spread":0.2327589465481525,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005877471,0.001050769,0.0004861435,0.0006764422,0.0002540951,0.0008610073,0.0008320363,0.0006988285,0.006132832],"category_scores_gemma":[0.001118146,0.000364622,0.000912799,0.0003502076,0.0001759012,0.0004707889,0.0003477444,0.0006982067,0.001776029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006869995,"about_ca_system_score_gemma":0.000684442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254858,"about_ca_topic_score_gemma":0.003648557,"domain_scores_codex":[0.9998412,0.00001560006,0.00001134925,0.00005649425,0.0000554606,0.00001988284],"domain_scores_gemma":[0.9997283,0.00009486634,0.00003557447,0.00002316357,0.0001066131,0.00001143652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008263546,0.0005822512,0.00899217,0.001617825,0.0002737394,0.0005538584,0.0006038312,0.2803315,0.3748822,0.01201284,0.03544503,0.2838785],"study_design_scores_gemma":[0.00001085277,0.00003613963,0.001117937,0.00001258567,0.00001965978,0.00007765552,0.00001448789,0.9445745,0.04819297,0.0006880958,0.005223484,0.00003182229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05861844,0.0003002966,0.8996012,0.0001562453,0.00007696215,0.000174786,0.002330361,0.03416683,0.004574836],"genre_scores_gemma":[0.4747476,0.0006846788,0.5065885,0.0001671062,0.0000223999,0.001254044,0.003412888,0.003157655,0.009965058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006132832,"threshold_uncertainty_score":0.0205164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}