{"meta":{"query_hash":"ca5b55b24c9b","filters":{"venue":"Transactions of the ASABE"},"cohort_total":60,"direct_labels_cover":0,"predictions_cover":60,"exported":60,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ca5b55b24c9b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Transactions+of+the+ASABE"},"results":[{"id":"W1965115805","doi":"10.13031/2013.32600","title":"Nebraska Water and Energy Flux Measurement, Modeling, and Research Network (NEBFLUX)","year":2010,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"FluxNet; Environmental science; Microclimate; Ecosystem; Biosphere; Water vapor; Atmospheric sciences; Energy flux; Water cycle; Vegetation (pathology); Terrestrial ecosystem; Eddy covariance; Ecology; Hydrology (agriculture); Geography; Meteorology; Engineering","score_opus":0.022869927924116736,"score_gpt":0.22913808093687546,"score_spread":0.20626815301275872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965115805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97052884,0.00004137458,0.024283256,0.0004951684,0.00014856586,0.00007083671,0.000006733695,0.000014232679,0.004410983],"genre_scores_gemma":[0.9967696,0.000037426762,0.0004518132,0.000024575134,0.0000166532,0.000008201584,0.0000018470014,0.000007530094,0.0026823531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917126,0.000050662624,0.00011617717,0.0001470939,0.0002941305,0.00022066524],"domain_scores_gemma":[0.99967015,0.000015567772,0.000014005406,0.0002303001,0.000016637097,0.000053361313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057398895,0.000066867564,0.00007057298,0.000023448334,0.00031846215,0.000030387708,0.00014897347,0.00006182047,0.00020053826],"category_scores_gemma":[0.0000038462445,0.00004141085,0.000029035305,0.00010919346,0.00021389087,0.00014743127,0.000044653312,0.00023605628,0.000006094625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006452369,0.00020363844,0.013788565,0.00002421694,0.00010233085,0.0000015523564,0.0014744002,0.5295686,0.4252963,0.0026106164,0.0007438114,0.026121443],"study_design_scores_gemma":[0.00063773926,0.00009256973,0.005559141,0.00003465236,0.000093443,0.00005689905,0.000082459235,0.9383133,0.013959224,0.023295721,0.017544897,0.00032996634],"about_ca_topic_score_codex":0.00063506083,"about_ca_topic_score_gemma":0.0013586417,"teacher_disagreement_score":0.41133708,"about_ca_system_score_codex":0.000017944692,"about_ca_system_score_gemma":0.0000057665393,"threshold_uncertainty_score":0.24493855},"labels":[],"label_agreement":null},{"id":"W1965917549","doi":"10.13031/2013.20476","title":"EVALUATION OF NITRATE AND POTASSIUM ION-SELECTIVE MEMBRANES FOR SOIL MACRONUTRIENT SENSING","year":2006,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valinomycin; Chemistry; Membrane; Potassium; ISFET; Nitrate; Ionophore; Inorganic chemistry; Environmental chemistry; Biochemistry; Organic chemistry","score_opus":0.01650295401399881,"score_gpt":0.2426563247942552,"score_spread":0.22615337078025638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965917549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92276937,0.00023602291,0.07479956,0.0002378021,0.000054284854,0.00020019333,0.00003600424,0.000021816739,0.0016449739],"genre_scores_gemma":[0.99931157,0.000007734021,0.00033050243,0.0000039378974,0.000028501792,0.0000039373476,0.0000027138578,0.000008002358,0.00030310094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939257,0.000022807548,0.0001825073,0.000099259996,0.00020468608,0.00009818333],"domain_scores_gemma":[0.99947274,0.000119476,0.0000574686,0.00011746614,0.00021327798,0.000019602281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002160117,0.000072579096,0.00012437491,0.000018750508,0.0000629307,0.000003769987,0.000049598948,0.00005563467,0.00001849594],"category_scores_gemma":[0.00004719246,0.000057564608,0.00009715426,0.00011441628,0.00007161152,0.00003558662,0.000002409901,0.00007932606,2.956394e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004921329,0.00006316272,0.000016161586,0.00017578571,0.00007817808,5.5713105e-8,0.000100500205,0.1502359,0.84764004,0.0001248146,0.000013357615,0.0015028233],"study_design_scores_gemma":[0.0004207896,0.000011288963,0.000077847064,0.00002260216,0.0002917268,0.000002519357,0.0000703504,0.21126936,0.7859563,0.0018059791,0.000019017685,0.000052221814],"about_ca_topic_score_codex":0.00007374147,"about_ca_topic_score_gemma":0.00001439314,"teacher_disagreement_score":0.07654223,"about_ca_system_score_codex":0.000034638968,"about_ca_system_score_gemma":0.00002387483,"threshold_uncertainty_score":0.23474166},"labels":[],"label_agreement":null},{"id":"W1977573024","doi":"10.13031/2013.39005","title":"Technical Note: Ripe Tomato Detection for Robotic Vision Harvesting Systems in Greenhouses","year":2011,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Centres of Excellence","keywords":"Artificial intelligence; Robustness (evolution); Computer vision; Cluster analysis; Greenhouse; Computer science; Machine vision; Pattern recognition (psychology); Mathematics; Horticulture; Biology","score_opus":0.03125891656228645,"score_gpt":0.22935562594069964,"score_spread":0.19809670937841317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977573024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97004247,0.00013720711,0.027184147,0.00044352358,0.0006624371,0.00085595535,0.000014944904,0.0001485615,0.0005107802],"genre_scores_gemma":[0.99927074,0.0000045651127,0.000411086,0.000017495982,0.00005925908,0.000046087134,0.0000014737396,0.000001011735,0.00018827886],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993615,0.000041355885,0.00021252588,0.0001412997,0.000100797006,0.00014248125],"domain_scores_gemma":[0.9996713,0.00012088629,0.000073549236,0.00006277659,0.000043388372,0.000028139015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014543296,0.000083435865,0.00013183,0.000012005854,0.00016028222,0.000015790643,0.00019979992,0.00009196347,0.000021523834],"category_scores_gemma":[0.000022806757,0.00002676988,0.0001194573,0.0003322853,0.000037787973,0.00012995023,0.0000072622124,0.00009747318,0.000003971425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000580372,0.00026307272,0.0012923001,0.000034396307,0.000007604393,4.2651533e-7,0.00015563409,0.0012206631,0.93906486,0.00007401855,0.00008821754,0.05774079],"study_design_scores_gemma":[0.0005160682,0.0009875058,0.8032418,0.0003251747,0.00012418955,0.00006228771,0.00075040717,0.004703122,0.18634005,0.0006302342,0.0019051703,0.00041402542],"about_ca_topic_score_codex":0.0014842808,"about_ca_topic_score_gemma":0.0076612304,"teacher_disagreement_score":0.80194944,"about_ca_system_score_codex":0.000019965735,"about_ca_system_score_gemma":0.0000035138992,"threshold_uncertainty_score":0.42751464},"labels":[],"label_agreement":null},{"id":"W1979668302","doi":"10.13031/2013.34887","title":"Discrete Element Simulations of Vibration Characteristics of Bulk Grain in Storage Bins","year":2010,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete element method; Element (criminal law); Vibration; Structural engineering; Materials science; Environmental science; Physics; Engineering; Acoustics; Mechanics","score_opus":0.006056314445790429,"score_gpt":0.21265275096715772,"score_spread":0.20659643652136728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979668302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9236891,0.0000037129637,0.07555939,0.000047938403,0.00032386702,0.00012005407,0.00018651035,0.000016559743,0.00005285122],"genre_scores_gemma":[0.9994229,0.000011643722,0.00050543615,0.0000022635072,0.000009128459,0.0000044568387,0.000009289342,0.000012375898,0.000022514258],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948394,0.000011183057,0.0002807375,0.00005175895,0.00009819053,0.000074190204],"domain_scores_gemma":[0.99961054,0.00003203858,0.0000663297,0.00023889351,0.00003638348,0.000015840682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008948853,0.00006210539,0.0001220824,0.00007918625,0.00002274188,0.0000029746548,0.00011934155,0.000050321563,0.0000401581],"category_scores_gemma":[0.000011613144,0.00005540102,0.000060537543,0.00020402961,0.000025875886,0.000058119174,0.0000039305146,0.0001433618,3.9186565e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014452399,0.00014849598,0.0014475064,0.00013841706,0.000056465222,1.1216182e-7,0.0008956684,0.35311484,0.633557,0.0021941932,0.000003361946,0.008429452],"study_design_scores_gemma":[0.00022633978,0.00002624125,0.03117106,0.000025717294,0.00002735305,3.4581734e-7,0.000052314237,0.9379446,0.03007659,0.00035997384,0.000025750422,0.00006373615],"about_ca_topic_score_codex":0.000049536706,"about_ca_topic_score_gemma":0.00029515137,"teacher_disagreement_score":0.60348046,"about_ca_system_score_codex":0.000014058016,"about_ca_system_score_gemma":0.000012999982,"threshold_uncertainty_score":0.2259188},"labels":[],"label_agreement":null},{"id":"W1984364064","doi":"10.13031/2013.42597","title":"Thresholds for Irrigation Management of Processing Tomatoes Using Soil Moisture Sensors in Southwestern Ontario","year":2013,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Irrigation; Randomized block design; Water content; Moisture; Irrigation scheduling; Brix; Drip irrigation; Mathematics; Agronomy; Environmental science; Horticulture; Geography; Chemistry; Sugar; Biology; Engineering","score_opus":0.027845702208782193,"score_gpt":0.23313911877039098,"score_spread":0.2052934165616088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984364064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756527,0.000012175785,0.000715081,0.0006823354,0.00006336982,0.00046600876,0.000006759153,0.0000099301715,0.0004790472],"genre_scores_gemma":[0.99813855,0.0000022560264,0.0008073571,0.000025978617,0.000009671611,0.000030222169,0.0000040363775,9.392701e-7,0.0009809993],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99941677,0.000020635347,0.0002197737,0.00011099459,0.0001263266,0.00010551669],"domain_scores_gemma":[0.9997031,0.000020625244,0.00014954332,0.000058162714,0.000054050808,0.000014507572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113346585,0.000069802874,0.000095769494,0.00001283026,0.000106344116,0.000029372606,0.00014583777,0.000035585315,0.00012499842],"category_scores_gemma":[8.8886065e-7,0.000026948699,0.00007346042,0.00016041321,0.000030844192,0.0002525732,0.000010605034,0.000051860115,0.0000015842144],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032175498,0.0018876062,0.18903191,0.0018468406,0.00055051304,0.0000021527242,0.014827783,0.14338179,0.29939163,0.002276741,0.00015607283,0.34632522],"study_design_scores_gemma":[0.00074174424,0.00015467349,0.95065403,0.00040700033,0.00022292057,0.000003753568,0.007070543,0.008115757,0.023367576,0.008073808,0.0008873068,0.00030091548],"about_ca_topic_score_codex":0.015660506,"about_ca_topic_score_gemma":0.019279944,"teacher_disagreement_score":0.7616221,"about_ca_system_score_codex":0.000033464396,"about_ca_system_score_gemma":0.0000054550355,"threshold_uncertainty_score":0.9986156},"labels":[],"label_agreement":null},{"id":"W2009322829","doi":"10.13031/2013.42226","title":"Laboratory-Scale Characterization of a Purple Rice Variety: Examination of Milling Quality and Determination of Anthocyanin and Oil Concentration across the Bran Layer","year":2012,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Food composition and properties","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Louisiana Board of Regents","keywords":"Anthocyanin; Bran; Layer (electronics); Scale (ratio); Food science; Chemistry; Organic chemistry; Geography","score_opus":0.029110180673545955,"score_gpt":0.2873100504581714,"score_spread":0.2581998697846254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009322829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911973,0.00015526306,0.0077777007,0.0004220117,0.00015703995,0.0001255901,0.00010830024,0.000008210905,0.000048591322],"genre_scores_gemma":[0.99958014,0.00004816523,0.0002879416,0.000029256127,0.000013883771,0.000006192138,0.00000784697,0.000006876074,0.00001970335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990837,0.0002745439,0.00032543537,0.000075138094,0.00015684175,0.00008433485],"domain_scores_gemma":[0.99923575,0.0000855767,0.0003158971,0.00015309028,0.00019094007,0.000018718965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055160956,0.00006836689,0.00014554398,0.000022721862,0.00013609613,0.000010565313,0.00006928999,0.000057431917,0.0000075679727],"category_scores_gemma":[0.000022785032,0.000049229595,0.00003615916,0.00019054837,0.0001995115,0.0003362073,0.0000059881454,0.00006589904,1.1408356e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016778261,0.000099192155,0.0012794663,0.00023701189,0.0000128446245,3.9010084e-9,0.015995007,0.000016221149,0.9592269,0.00003649099,3.5010797e-7,0.022928732],"study_design_scores_gemma":[0.00031075635,0.0001245689,0.17526,0.00006425819,0.00005550441,0.0000013975205,0.0009415143,0.0013315185,0.82181346,0.000018689425,0.000030110124,0.00004818041],"about_ca_topic_score_codex":0.00008169412,"about_ca_topic_score_gemma":0.000018874103,"teacher_disagreement_score":0.17398055,"about_ca_system_score_codex":0.000013520692,"about_ca_system_score_gemma":0.000009411504,"threshold_uncertainty_score":0.20075247},"labels":[],"label_agreement":null},{"id":"W2021450580","doi":"10.13031/2013.27766","title":"Product Distribution and Implication of Hydrothermal Conversion of Swine Manure at Low Temperatures","year":2009,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centurion Biofuels (Canada)","funders":"","keywords":"Manure; Raw material; Chemistry; Hydrothermal circulation; Pulp and paper industry; Moisture; Aqueous solution; Nitrogen; Waste management; Agronomy; Chemical engineering; Organic chemistry","score_opus":0.0036268728640064026,"score_gpt":0.18913135784077875,"score_spread":0.18550448497677235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021450580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827355,0.00031547106,0.0008279309,0.00025231883,0.000045323875,0.00013728476,0.00007473002,0.000032573276,0.00004080024],"genre_scores_gemma":[0.9997831,0.000058485195,0.00006546607,0.000004567024,0.000006736063,0.000002170702,0.000012075568,0.0000055825667,0.000061838015],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958557,0.000009280616,0.00016060466,0.00008322178,0.00009455166,0.00006677412],"domain_scores_gemma":[0.99965656,0.000017644397,0.000054386932,0.00020122922,0.000050287847,0.000019877669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039122177,0.00007238622,0.00011548333,0.000023041543,0.000031738353,0.0000018321781,0.00011019871,0.00004383565,0.00004896455],"category_scores_gemma":[0.0000068992244,0.000056405508,0.00005097547,0.00015314149,0.00007040489,0.0000690487,0.0000043364435,0.00005983503,8.5265765e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003579932,0.00003434234,0.00010475161,0.00020659441,0.0000183043,3.2823994e-8,0.00007055963,0.00036832926,0.99811256,0.000023607185,0.00011556669,0.0009095307],"study_design_scores_gemma":[0.00021588418,0.00003118536,0.006143404,0.00004575068,0.00003302413,0.000003855077,0.000018262097,0.0001685155,0.99316764,0.000056357007,0.000064669264,0.0000514534],"about_ca_topic_score_codex":0.0000050107387,"about_ca_topic_score_gemma":3.6437493e-7,"teacher_disagreement_score":0.0060386527,"about_ca_system_score_codex":0.000024282535,"about_ca_system_score_gemma":0.0000071936915,"threshold_uncertainty_score":0.23001498},"labels":[],"label_agreement":null},{"id":"W2027002773","doi":"10.13031/2013.34904","title":"Effect of Climate Change on Low-Flow Conditions in the Ruscom River Watershed, Ontario","year":2010,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Environmental science; Watershed; Soil and Water Assessment Tool; Precipitation; Climate change; Hydrology (agriculture); SWAT model; Climatology; Drainage basin; Geography; Meteorology; Geology","score_opus":0.008175314868937054,"score_gpt":0.22268888834712466,"score_spread":0.2145135734781876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027002773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924566,0.0000014402532,0.000052648487,0.0012588281,0.00020807577,0.0003749251,0.000016714892,0.000008092182,0.0056226877],"genre_scores_gemma":[0.999466,0.0000128614365,0.000037446996,0.00019731928,0.00000733082,0.000067995636,0.000002327745,0.000004194897,0.00020450691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993662,0.000103114646,0.00012498625,0.000116077084,0.00013150548,0.0001580684],"domain_scores_gemma":[0.9995298,0.000099004596,0.00004492252,0.00031154664,0.0000020972998,0.000012621333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003506777,0.00008971621,0.000120333076,0.00003059979,0.00018920982,0.0000031974528,0.00030200725,0.000044359786,0.0008982856],"category_scores_gemma":[0.0000040005907,0.00004768644,0.00009073008,0.00011197162,0.00043126408,0.0000969318,0.000025619232,0.00023814209,0.00009039969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011059257,0.0024221016,0.8122947,0.0003031715,0.00041364718,0.00001740394,0.096403114,0.043663662,0.021048088,0.0011503785,0.0016579004,0.019519882],"study_design_scores_gemma":[0.0014629711,0.00064919365,0.9733383,0.000052550135,0.00023618962,0.0000044962344,0.00018853099,0.000539895,0.020611685,0.0009839145,0.0017336886,0.00019858651],"about_ca_topic_score_codex":0.0045610103,"about_ca_topic_score_gemma":0.020660814,"teacher_disagreement_score":0.16104358,"about_ca_system_score_codex":0.000024801284,"about_ca_system_score_gemma":0.0000014899873,"threshold_uncertainty_score":0.99720955},"labels":[],"label_agreement":null},{"id":"W2028418930","doi":"10.13031/2013.39845","title":"Technical Note: Enhancement of SWAT-REMM to Simulate Reduction of Total Nitrogen with Riparian Buffer","year":2011,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Environment","keywords":"Riparian zone; Environmental science; Riparian buffer; Nonpoint source pollution; Watershed; SWAT model; Pollution; Hydrology (agriculture); Environmental engineering; Computer science; Engineering; Ecology","score_opus":0.013216595037270535,"score_gpt":0.21964538942662162,"score_spread":0.20642879438935108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028418930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91868925,0.0000055233118,0.0759614,0.00044825563,0.000085516964,0.00032616247,0.0000049596065,0.0000128334095,0.0044660848],"genre_scores_gemma":[0.9954545,0.000004274991,0.0039024157,0.00001902719,0.0000037928514,0.000016645208,3.3786878e-7,0.000005182671,0.0005938085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937755,0.000027628354,0.00018982342,0.0001362566,0.0001499625,0.000118781194],"domain_scores_gemma":[0.99960244,0.000009675324,0.00007609953,0.0002776317,0.0000099270455,0.000024201798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011876235,0.00007799356,0.00013802791,0.00002940251,0.00007457581,8.3539925e-7,0.00016230372,0.00003729559,0.0005528464],"category_scores_gemma":[0.0000033841138,0.000051774718,0.00005470626,0.00017478348,0.00029438984,0.000070695554,0.00003547933,0.00006619184,0.000018910014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015503761,0.0020334173,0.014601078,0.000101128506,0.00041306214,0.0000014729396,0.008784022,0.09259004,0.8700026,0.0001920281,0.0005648788,0.009165866],"study_design_scores_gemma":[0.00051665504,0.0007738484,0.023624053,0.000029636938,0.00027076126,0.000004786384,0.00022412099,0.00024716815,0.97324187,0.0007762855,0.00015124641,0.00013957056],"about_ca_topic_score_codex":0.00048731457,"about_ca_topic_score_gemma":0.00008730243,"teacher_disagreement_score":0.10323924,"about_ca_system_score_codex":0.000027539745,"about_ca_system_score_gemma":0.0000034751354,"threshold_uncertainty_score":0.605328},"labels":[],"label_agreement":null},{"id":"W2028572347","doi":"10.13031/2013.42509","title":"Effect of Water Table Management and Irrigation on Potato Yield","year":2012,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Irrigation; Loam; Drainage; Environmental science; Agronomy; Yield (engineering); Water table; Growing season; Water content; Tile drainage; Surface irrigation; Hydrology (agriculture); Soil water; Groundwater; Engineering; Biology; Soil science; Ecology","score_opus":0.013418318714063668,"score_gpt":0.21536183461721145,"score_spread":0.2019435159031478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028572347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934167,0.00002079055,0.00008636879,0.0009839023,0.00012495664,0.00021347529,0.0000057591087,0.000009063005,0.0051389663],"genre_scores_gemma":[0.9983778,0.000011243397,0.000029112613,0.000053175478,0.000015692181,0.000011242211,0.0000025927138,4.7664122e-7,0.0014986739],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995733,0.000050530878,0.00010189172,0.00006336116,0.000109476554,0.00010142391],"domain_scores_gemma":[0.9997986,0.00007199576,0.000044835335,0.000053016123,0.000010801793,0.000020737338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027086277,0.00005297814,0.0000680177,0.000007820803,0.0000937098,0.000008698489,0.00008245686,0.000020099558,0.00028012236],"category_scores_gemma":[0.0000022891488,0.0000145487365,0.000040607138,0.00007912369,0.000025859455,0.00013866641,0.000011102993,0.000038778275,0.0000100251455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000694705,0.0009986876,0.016122282,0.00063038483,0.0004634687,6.467722e-7,0.0018234721,0.0014505999,0.47450393,0.007992033,0.0011457885,0.49417397],"study_design_scores_gemma":[0.00029031216,0.0007171796,0.06368098,0.00006667614,0.00020867288,0.0000019308795,0.00028132115,0.00007943352,0.921486,0.00066417863,0.012393999,0.00012927965],"about_ca_topic_score_codex":0.00010035517,"about_ca_topic_score_gemma":0.000009191192,"teacher_disagreement_score":0.4940447,"about_ca_system_score_codex":0.0000052798255,"about_ca_system_score_gemma":2.602732e-7,"threshold_uncertainty_score":0.30671433},"labels":[],"label_agreement":null},{"id":"W2037164926","doi":"10.13031/2013.42369","title":"Corn Yield Response to Drainage and Subirrigation in the Canadian Prairies","year":2012,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drainage; Irrigation; Environmental science; Hydrology (agriculture); Tile drainage; Water table; DNS root zone; Agronomy; Salinity; Soil water; Geology; Groundwater; Soil science; Biology; Ecology","score_opus":0.012741115139658865,"score_gpt":0.2130104512011056,"score_spread":0.20026933606144673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037164926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896024,0.000006255162,0.00043642748,0.0081085125,0.00008123991,0.00015724725,0.000009267528,0.0000046558534,0.001594019],"genre_scores_gemma":[0.9993551,9.5208696e-7,0.000093281014,0.000289761,0.000005186693,0.000011419025,3.5174907e-7,0.0000032537366,0.00024071573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995559,0.00006749033,0.00007203514,0.000058450052,0.000105869774,0.0001402673],"domain_scores_gemma":[0.99966735,0.000094445975,0.000015365307,0.00016515901,0.0000024476917,0.000055245666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003875539,0.000043861794,0.00004124443,0.000028117604,0.00016496508,0.000012042197,0.00014521294,0.00002737994,0.000029800485],"category_scores_gemma":[0.00003186128,0.000026930318,0.000018853507,0.00020716459,0.00011596893,0.00012720468,0.0000069981184,0.00007238912,0.000020269592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014485333,0.000091058886,0.9683257,0.0000064863016,0.000006945284,6.799242e-7,0.024791623,0.0015558462,0.0011218316,0.00033526064,0.0003980215,0.003221696],"study_design_scores_gemma":[0.00007017011,0.00002440206,0.9955647,0.0000095298865,0.00000910742,0.000006150589,0.00054982945,0.00014871714,0.00043119714,0.0013777826,0.0017565062,0.00005190418],"about_ca_topic_score_codex":0.065318175,"about_ca_topic_score_gemma":0.18317552,"teacher_disagreement_score":0.11785734,"about_ca_system_score_codex":0.000072842806,"about_ca_system_score_gemma":0.000009819809,"threshold_uncertainty_score":0.9409059},"labels":[],"label_agreement":null},{"id":"W2037380733","doi":"10.13031/2013.29209","title":"Properties of Naturally Settled Hog Manure in Outdoor Lagoons","year":2009,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro","keywords":"Manure; Environmental science; Environmental engineering; Waste management; Environmental chemistry; Agronomy; Engineering; Chemistry; Biology","score_opus":0.014065204223710678,"score_gpt":0.18544288993778327,"score_spread":0.17137768571407258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037380733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945533,0.00013873848,0.000007539445,0.0043805717,0.00008916739,0.0001935758,0.000038352067,0.000023263916,0.00057545037],"genre_scores_gemma":[0.99896383,0.000016925365,0.00008443843,0.00011538462,0.000019166422,0.000003931217,0.0000027235096,3.3889194e-7,0.0007932816],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991952,0.00005036467,0.00021188808,0.0001487515,0.00022506215,0.0001687067],"domain_scores_gemma":[0.99970907,0.000038440056,0.00009050163,0.00008074772,0.000050165265,0.00003108725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012822372,0.00009589584,0.00015570385,0.000012458425,0.00010472351,0.00001024168,0.00049211225,0.00007460343,0.000020954662],"category_scores_gemma":[0.00001804199,0.000026734859,0.00011376976,0.0005050432,0.00010485916,0.00014294474,0.000007871681,0.00015959324,0.0000054961783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006192209,0.0003140836,0.0039851624,0.000014893793,0.0000130383805,9.619482e-7,0.00063521444,0.0006599697,0.9793416,0.00015487519,0.00028951906,0.014528745],"study_design_scores_gemma":[0.0001995377,0.00021722779,0.7109428,0.000134183,0.000026301661,0.00001625773,0.0007922717,0.00011209518,0.28639117,0.00062502886,0.00035139173,0.00019172847],"about_ca_topic_score_codex":0.00019545727,"about_ca_topic_score_gemma":0.0010640636,"teacher_disagreement_score":0.70695764,"about_ca_system_score_codex":0.000015177011,"about_ca_system_score_gemma":0.000008972244,"threshold_uncertainty_score":0.10902159},"labels":[],"label_agreement":null},{"id":"W2042691190","doi":"10.13031/2013.41508","title":"Droplet Sizing and Velocimetry in the Wake of Rotary-Cage Atomizers","year":2012,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Natural Resources, Government of Newfoundland and Labrador","keywords":"Wake; Wind tunnel; Mechanics; Plume; Sizing; Range (aeronautics); Interferometry; Optics; Environmental science; Materials science; Meteorology; Physics; Chemistry","score_opus":0.0164789204596889,"score_gpt":0.18852317290546342,"score_spread":0.1720442524457745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042691190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981474,0.00052520225,0.000008757171,0.0009659035,0.00004221828,0.00010526311,0.000035458157,0.0000039942,0.00016576858],"genre_scores_gemma":[0.9997319,0.000089725385,0.000060182883,0.000037356665,0.000007170051,0.000004073309,0.0000014337647,3.4421268e-7,0.00006782573],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996111,0.000053378855,0.000096734366,0.000050166273,0.00008319885,0.00010546167],"domain_scores_gemma":[0.9997889,0.00010891366,0.000036474827,0.000043051947,0.000006657986,0.000015996924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014503121,0.00004946007,0.000084564555,0.0000045289094,0.00010020506,0.0000046476066,0.00012319758,0.000025566917,0.00004638405],"category_scores_gemma":[0.000004450376,0.0000126256355,0.000050100418,0.000137268,0.000048001202,0.000071736926,0.0000063531793,0.00005708162,0.0000018010436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013304608,0.00082449126,0.30673867,0.000040229934,0.00014467104,0.0000011119647,0.0038704027,0.00014818973,0.61675125,0.00016094859,0.00007872545,0.07110825],"study_design_scores_gemma":[0.0004884626,0.00012276489,0.9415888,0.000054371103,0.00009239389,0.000019511546,0.0028974705,0.00011117389,0.052263994,0.00014311488,0.002081432,0.00013648745],"about_ca_topic_score_codex":0.00068024354,"about_ca_topic_score_gemma":0.00018947254,"teacher_disagreement_score":0.63485014,"about_ca_system_score_codex":0.0000065709573,"about_ca_system_score_gemma":0.000001652024,"threshold_uncertainty_score":0.102832936},"labels":[],"label_agreement":null},{"id":"W2044430496","doi":"10.13031/2013.42232","title":"A Computational Study of Sprays Produced by Rotary Cage Atomizers","year":2012,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Turbulence; Reynolds-averaged Navier–Stokes equations; Mechanics; Wind tunnel; Phase (matter); Dispersion (optics); Marine engineering; Materials science; Environmental science; Chemistry; Physics; Engineering; Optics","score_opus":0.017644395151822947,"score_gpt":0.20329612568682895,"score_spread":0.185651730535006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044430496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909586,0.00009241118,0.000017291886,0.000297638,0.000061942825,0.00026460856,0.00010914647,0.000010383942,0.000050728308],"genre_scores_gemma":[0.9997578,0.000004960911,0.000044482545,0.000011866982,0.000008096251,0.000009892629,0.000005838172,4.7158963e-7,0.0001565906],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995291,0.000049354618,0.00012057669,0.00007150869,0.00013111474,0.00009834597],"domain_scores_gemma":[0.9998008,0.000049658476,0.000056453533,0.000043753847,0.000022084814,0.000027253524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007415976,0.000057527166,0.00009875132,0.00000352156,0.00012787551,0.0000032008488,0.000114285605,0.000018296836,0.00009001466],"category_scores_gemma":[0.0000027394258,0.000017648712,0.0000559815,0.000113425696,0.000026584443,0.000078949306,0.0000061650353,0.000040367777,0.000004326003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002772155,0.008937076,0.18688029,0.000025318117,0.00053317635,4.310838e-7,0.0032106054,0.0067993905,0.7807845,0.000025398182,0.0008270853,0.011699555],"study_design_scores_gemma":[0.0024247365,0.0013747618,0.7523444,0.000050545466,0.00039645468,0.000009604167,0.005738046,0.00063745945,0.23523055,0.00011444731,0.0012793189,0.0003996523],"about_ca_topic_score_codex":0.00072655047,"about_ca_topic_score_gemma":0.000054620403,"teacher_disagreement_score":0.56546414,"about_ca_system_score_codex":0.000011894926,"about_ca_system_score_gemma":0.0000030514243,"threshold_uncertainty_score":0.10983318},"labels":[],"label_agreement":null},{"id":"W2056084737","doi":"10.13031/2013.24366","title":"Mortality of Stored-Grain Insects Exposed to Microwave Energy","year":2008,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Research Chairs","keywords":"Sitophilus; Germination; Biology; Infestation; Agronomy; Toxicology; Horticulture","score_opus":0.03189832762903526,"score_gpt":0.20994028979333698,"score_spread":0.17804196216430174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056084737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974127,0.000044205193,0.0004690273,0.00044493107,0.00012946388,0.00010903551,0.00005046266,0.00002280038,0.0013173794],"genre_scores_gemma":[0.99935174,0.000014599047,0.00009231569,0.00010117104,0.00003545074,0.000010975332,0.0000024160763,7.983265e-7,0.0003905149],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992853,0.00006980224,0.00020362725,0.00012687306,0.00016963262,0.0001447827],"domain_scores_gemma":[0.99962103,0.00006991936,0.000079631536,0.00011261103,0.000073801166,0.000042983826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008196387,0.000089625304,0.00016438197,0.00001183393,0.00014954199,0.000005045753,0.00030418305,0.000054922475,0.000110415516],"category_scores_gemma":[0.000013148967,0.00003284378,0.00016505948,0.00032868952,0.0001243241,0.00006341184,0.000008426947,0.00006356719,0.0000023810423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032738597,0.000096168114,0.0006614463,0.0000035657124,0.000027637174,6.5355965e-7,0.00026340166,0.00013957638,0.99438834,0.00021356845,0.00009662217,0.0040762983],"study_design_scores_gemma":[0.00020284782,0.00029939009,0.3385252,0.000016498116,0.000030173938,0.000010790267,0.00025335254,0.000026395526,0.6587353,0.00074944727,0.001013474,0.00013713364],"about_ca_topic_score_codex":0.0024171257,"about_ca_topic_score_gemma":0.0044104317,"teacher_disagreement_score":0.33786377,"about_ca_system_score_codex":0.000015304526,"about_ca_system_score_gemma":0.00001872173,"threshold_uncertainty_score":0.36539873},"labels":[],"label_agreement":null},{"id":"W2065894670","doi":"10.13031/2013.24100","title":"Water Quality Modeling of Two Agricultural Fields in Southern Quebec Using SWAT","year":2007,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Tile drainage; Environmental science; Soil and Water Assessment Tool; Hydrology (agriculture); SWAT model; Water quality; Surface runoff; Drainage; Phosphorus; Watershed; Nitrate; Soil water; Soil science; Streamflow; Geology; Ecology; Drainage basin; Geography","score_opus":0.023708772882445803,"score_gpt":0.2603964837401269,"score_spread":0.23668771085768112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065894670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94037694,0.0000034880459,0.05902706,0.000093687195,0.00007922329,0.00006742497,0.0000045257757,0.000006922076,0.0003407329],"genre_scores_gemma":[0.99918985,8.7119724e-7,0.00048361043,0.000014683192,0.000006799637,7.7803736e-7,9.626787e-7,0.0000038178837,0.00029861514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993262,0.00003006942,0.00024846307,0.00009448779,0.00015138085,0.00014937285],"domain_scores_gemma":[0.99975836,0.000016188807,0.00003735076,0.00016053174,0.0000070642745,0.000020487822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596032,0.00006377956,0.00009784413,0.000018127315,0.00005231148,0.0000036862973,0.0001641678,0.000042366937,0.000054109903],"category_scores_gemma":[0.0000017980464,0.00003493025,0.00008440044,0.00011822472,0.00007215724,0.00009417581,0.000016685104,0.00009605869,0.0000070554756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026255964,0.00009831245,0.07837943,0.000010152288,0.000008657001,2.137433e-7,0.005927603,0.8956654,0.018998884,0.0000100256575,7.620532e-7,0.0008743204],"study_design_scores_gemma":[0.0031240846,0.000089412715,0.11483418,0.00016356142,0.00016889503,0.000017185776,0.01601949,0.6169076,0.23254243,0.015283251,0.000026700935,0.00082325],"about_ca_topic_score_codex":0.05327506,"about_ca_topic_score_gemma":0.017794501,"teacher_disagreement_score":0.2787578,"about_ca_system_score_codex":0.00006730116,"about_ca_system_score_gemma":0.0000028384015,"threshold_uncertainty_score":0.99297494},"labels":[],"label_agreement":null},{"id":"W2090938101","doi":"10.13031/2013.36450","title":"Evaluation of a Stream-Aquifer Analysis Test for Deriving Reach-Scale Streambed Conductance","year":2011,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Drawdown (hydrology); Permeameter; Hydrology (agriculture); Groundwater; Alluvium; Hydraulic conductivity; Piezometer; Water well; Hydraulic head; STREAMS; Streamflow; Geology; Aquifer properties; Thalweg; Soil science; Environmental science; Aquifer test; Sediment; Groundwater recharge; Geotechnical engineering; Geomorphology; Soil water; Geography","score_opus":0.05073401546662169,"score_gpt":0.26558881014387903,"score_spread":0.21485479467725732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090938101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8719567,0.000025432737,0.12601627,0.00005243811,0.000050645238,0.00026471668,0.00004306771,0.000009903972,0.0015808486],"genre_scores_gemma":[0.99728346,0.0000037577327,0.0017024429,0.000008270272,0.0000039543684,0.000063921834,0.0000020478342,0.0000049673818,0.00092716794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916315,0.0000554607,0.00020424336,0.00013736721,0.00034314685,0.00009661664],"domain_scores_gemma":[0.99944377,0.00006961357,0.00011472879,0.00027010328,0.00008368238,0.00001812755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000449053,0.000072423056,0.000146163,0.000038071168,0.00010836742,0.0000035342691,0.00016598275,0.00002755047,0.00084844395],"category_scores_gemma":[0.00003063001,0.000053462165,0.00015684089,0.00036450863,0.00014607956,0.00013936886,0.000011346438,0.000034643297,0.0000044260223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082178965,0.0017263825,0.48553115,0.000056408026,0.0021118026,1.358939e-7,0.020853342,0.00974527,0.22259504,0.00006679359,0.00023040552,0.2570011],"study_design_scores_gemma":[0.00072253426,0.00011955437,0.8044012,0.000016247963,0.004022054,7.397658e-7,0.0018570292,0.009623786,0.17837487,0.00060629006,0.00010766271,0.00014804423],"about_ca_topic_score_codex":0.00056100974,"about_ca_topic_score_gemma":0.0020642332,"teacher_disagreement_score":0.31887004,"about_ca_system_score_codex":0.000058063946,"about_ca_system_score_gemma":0.000011234385,"threshold_uncertainty_score":0.9289866},"labels":[],"label_agreement":null},{"id":"W2122302962","doi":"10.13031/2013.20391","title":"DENITRIFICATION OF AGRICULTURAL DRAINAGE USING WOOD-BASED REACTORS","year":2006,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Denitrification; Tile drainage; Environmental science; Drainage; Nitrate; Environmental engineering; Wetland; Nitrogen; Hydrology (agriculture); Chemistry; Soil science; Ecology; Soil water; Geology; Biology","score_opus":0.008154545282856009,"score_gpt":0.19518628912893718,"score_spread":0.18703174384608118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122302962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939426,0.0000060755956,0.004344453,0.0000917903,0.000059075566,0.00015860345,0.000020914293,0.000015058616,0.0013614016],"genre_scores_gemma":[0.9973249,3.1378508e-7,0.0024077585,0.0000026068299,0.0000051482816,0.0000043768896,0.000005300335,0.000005246481,0.0002443563],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994077,0.000031412314,0.00018482587,0.00010602599,0.00017154867,0.000098473385],"domain_scores_gemma":[0.9995941,0.000022499788,0.00011278393,0.00024351465,0.000009545391,0.000017547713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042395764,0.00007775337,0.000089377565,0.000024828238,0.00008281523,0.0000048871343,0.00015633642,0.000033437525,0.00021333192],"category_scores_gemma":[0.0000022099168,0.000049538678,0.000106156134,0.00027122468,0.0001495379,0.000085890875,0.0000059615068,0.00004895454,0.0000064448864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013718892,0.00020132637,0.021666098,0.000010205146,0.000020851669,1.9241891e-7,0.00013489007,0.062467515,0.9142252,0.000032648324,0.00001969576,0.0012076284],"study_design_scores_gemma":[0.00036456567,0.000026823382,0.3472173,0.00001678027,0.000101305384,0.000006705277,0.00010060548,0.00060134596,0.6512352,0.00021120245,0.000040397706,0.00007775491],"about_ca_topic_score_codex":0.0020601386,"about_ca_topic_score_gemma":0.00022698498,"teacher_disagreement_score":0.32555118,"about_ca_system_score_codex":0.00010432678,"about_ca_system_score_gemma":0.00000892412,"threshold_uncertainty_score":0.31143272},"labels":[],"label_agreement":null},{"id":"W2159154019","doi":"10.13031/2013.36239","title":"Development of a Population Balance Model to Simulate Fractionation of Ground Switchgrass","year":2011,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biomass Program; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Sieve (category theory); Breakage; Population; Volumetric flow rate; Environmental science; Pulverizer; Mathematics; Mechanics; Grinding; Materials science; Physics; Composite material","score_opus":0.053414084413969914,"score_gpt":0.2321144885698063,"score_spread":0.17870040415583638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159154019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803471,0.000006616312,0.018604813,0.00038875593,0.00011408193,0.000146304,0.000007551035,0.000013732229,0.0003710434],"genre_scores_gemma":[0.99360675,0.000004605201,0.0059407423,0.000032558684,0.0000070419405,0.0000075247617,0.000004865546,6.094896e-7,0.0003953238],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99944395,0.000015352007,0.00023011999,0.00010150658,0.00014632128,0.00006276823],"domain_scores_gemma":[0.9996758,0.000009939081,0.00012848289,0.00006807273,0.00009845248,0.00001926296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111404464,0.00005276881,0.000085525484,0.000016984935,0.00008058459,0.0000022294334,0.00013141191,0.000030138064,0.00010416943],"category_scores_gemma":[0.00000619592,0.000021951217,0.000051232837,0.00029119969,0.000020408215,0.00008318587,0.000009374202,0.000032641736,0.0000016298623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013992871,0.00066360243,0.0014108652,0.00004408031,0.00009680487,3.465379e-8,0.0020981526,0.07509375,0.71500754,0.0022230928,0.00006027535,0.20316185],"study_design_scores_gemma":[0.00028125948,0.00012741933,0.70006764,0.000057589903,0.00006381458,8.6224355e-7,0.00074341637,0.0135110635,0.2786812,0.0025423924,0.0037009711,0.00022236485],"about_ca_topic_score_codex":0.00052479113,"about_ca_topic_score_gemma":0.0004329503,"teacher_disagreement_score":0.6986568,"about_ca_system_score_codex":0.000017432267,"about_ca_system_score_gemma":0.000005527979,"threshold_uncertainty_score":0.11405822},"labels":[],"label_agreement":null},{"id":"W2160845471","doi":"10.13031/2013.23143","title":"Optimizing the Size of Anaerobic Digesters","year":2007,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feedlot; Manure; Digestate; Biogas; Anaerobic digestion; Tonne; Environmental science; Beef cattle; Agriculture; Manure management; Agronomy; Agricultural science; Engineering; Waste management; Geography; Forestry; Methane; Biology","score_opus":0.007229029186687658,"score_gpt":0.20718992315450832,"score_spread":0.19996089396782066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160845471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95766586,0.00005653202,0.030748421,0.0009418859,0.00021699208,0.00026108816,0.0000038121746,0.000014008049,0.01009138],"genre_scores_gemma":[0.9978602,0.000031970954,0.0010977825,0.00008572739,0.0000036500016,0.0000026044233,9.347638e-8,0.0000046379323,0.00091331144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944115,0.000015473432,0.0001533589,0.00008272748,0.00018119396,0.00012607682],"domain_scores_gemma":[0.999507,0.00008183055,0.000071298666,0.00031549062,0.000003455692,0.000020932817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002832637,0.0000549288,0.000067348774,0.000009487985,0.00011855723,0.0000040829523,0.00033724195,0.000017229384,0.00039891255],"category_scores_gemma":[0.00000537389,0.000031456442,0.000092380586,0.00024381449,0.00019260868,0.00006808992,0.000025331023,0.00006677539,0.0000115749335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006612496,0.0023230368,0.049275443,0.00012397941,0.0005604685,0.0000051838747,0.019547442,0.42080978,0.35801825,0.002069819,0.005530462,0.14107487],"study_design_scores_gemma":[0.0010944835,0.00023689393,0.47995734,0.00007007726,0.00025413724,0.0000049030637,0.0026102334,0.0008385337,0.48940036,0.0010505506,0.024162538,0.00031996818],"about_ca_topic_score_codex":0.00029203604,"about_ca_topic_score_gemma":0.000100315614,"teacher_disagreement_score":0.43068188,"about_ca_system_score_codex":0.00003643463,"about_ca_system_score_gemma":0.00000230947,"threshold_uncertainty_score":0.4367813},"labels":[],"label_agreement":null},{"id":"W2172395050","doi":"10.13031/2013.21718","title":"MAGNETIC RESONANCE IMAGE ANALYSIS TO EXPLAIN MOISTURE MOVEMENT DURING WHEAT DRYING","year":2006,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; University of Manitoba","keywords":"Moisture; Water content; Mass transfer; Environmental science; Soil science; Chemistry; Materials science; Composite material; Chromatography; Geology; Geotechnical engineering","score_opus":0.00849515073505732,"score_gpt":0.19731571576986806,"score_spread":0.18882056503481073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172395050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628085,0.00034936174,0.0010417126,0.0016020576,0.000052959185,0.00012269149,0.00003273063,0.000036836376,0.000480805],"genre_scores_gemma":[0.9974152,0.000012938429,0.00062491046,0.00009567081,0.00004273377,0.00001630008,0.0000031361926,9.2503853e-7,0.0017881863],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99926436,0.000030944244,0.0001786995,0.00018027489,0.00017157882,0.00017412644],"domain_scores_gemma":[0.99975854,0.000029848778,0.000033796605,0.00010697854,0.0000367644,0.00003407659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091328126,0.000088337474,0.00012757626,0.000022032846,0.00028787061,0.000025337258,0.0002181439,0.000035152967,0.00012740021],"category_scores_gemma":[0.000004272947,0.00003400052,0.00018948577,0.0006694835,0.00002486556,0.00005484038,0.0000118811995,0.00007993585,0.0000053431663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024850153,0.00007906615,0.0011337838,0.0000060555367,0.000028063927,5.3036973e-7,0.00013137577,0.022062644,0.9620641,0.00002874437,0.000063280386,0.01437749],"study_design_scores_gemma":[0.00033834396,0.0002083509,0.7102161,0.00007894675,0.00044188564,0.0000023375985,0.000876138,0.002893872,0.28221574,0.0006986479,0.0016280344,0.00040158138],"about_ca_topic_score_codex":0.0029178457,"about_ca_topic_score_gemma":0.003897488,"teacher_disagreement_score":0.7090823,"about_ca_system_score_codex":0.000024374589,"about_ca_system_score_gemma":0.0000024843823,"threshold_uncertainty_score":0.44109297},"labels":[],"label_agreement":null},{"id":"W2178772899","doi":"10.13031/trans.56.10374","title":"Effect of Soil Water Potential Threshold for Irrigation on Cranberry Yield and Water Productivity","year":2013,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Productivity; Yield (engineering); Irrigation; Agricultural engineering; Agronomy; Economics; Engineering; Materials science; Biology","score_opus":0.018469548846108904,"score_gpt":0.2315497931495371,"score_spread":0.2130802443034282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178772899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961465,0.0000062605623,0.00006685655,0.0030869448,0.00006491637,0.00046494367,0.000011506157,0.000005756061,0.00014629083],"genre_scores_gemma":[0.999121,0.0000029832293,0.000008407479,0.000015285354,0.0000318768,0.00005497478,0.0000049355212,7.1459806e-7,0.0007597897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952483,0.000031225678,0.0000983996,0.00011126053,0.00012262132,0.000111633155],"domain_scores_gemma":[0.999775,0.000061331,0.000018922874,0.000056933262,0.00006724589,0.000020582289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019899216,0.00005643653,0.000082465136,0.0000069375087,0.00013589748,0.0000151507165,0.00009438132,0.00004265064,0.00028141192],"category_scores_gemma":[0.0000067964243,0.000013821482,0.00007408718,0.000036382982,0.000067209665,0.00005709533,0.000007929988,0.000057895268,0.0000047320627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050937953,0.000047411835,0.0002034039,0.00002206334,0.000011793765,8.266565e-9,0.00005464295,0.00029398163,0.97435266,0.000009160192,0.000035784997,0.02491816],"study_design_scores_gemma":[0.00011780337,0.0004866767,0.021772144,0.000009767669,0.000014278422,4.9882135e-7,0.000020023248,0.00028576597,0.976619,0.00055522687,0.00008033709,0.000038472896],"about_ca_topic_score_codex":0.00018784661,"about_ca_topic_score_gemma":0.000053631484,"teacher_disagreement_score":0.024879687,"about_ca_system_score_codex":0.0000034260738,"about_ca_system_score_gemma":0.0000012583155,"threshold_uncertainty_score":0.3081263},"labels":[],"label_agreement":null},{"id":"W2235089447","doi":"10.13031/trans.57.10665","title":"Length Distribution and Other Dimensional Parameters of Chopped Forage by Image Analysis","year":2014,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Dimension (graph theory); Particle (ecology); Forage; Volume (thermodynamics); Particle-size distribution; Standard deviation; Pixel; Mathematics; Particle size; Physics; Materials science; Analytical Chemistry (journal); Geometry; Optics; Chemistry; Statistics; Agronomy; Combinatorics; Geology; Chromatography","score_opus":0.0030844313731834545,"score_gpt":0.16768433706515262,"score_spread":0.16459990569196917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235089447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4172607,0.000023292263,0.58246666,0.000024494499,0.000043735025,0.000038824466,0.00007896275,0.000032704756,0.000030611376],"genre_scores_gemma":[0.9990244,0.000008359331,0.00086983445,0.000003828947,0.000003578566,0.0000031105792,0.000020488485,0.0000060740804,0.000060348022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997011,0.000010864945,0.00010595239,0.000052950127,0.00006851222,0.000060656923],"domain_scores_gemma":[0.99981236,0.000024907045,0.000023747976,0.00009858873,0.000020961841,0.000019451458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049267837,0.000059456037,0.00010319402,0.000023735196,0.000027469125,0.0000034494426,0.000046802583,0.000031753527,0.000011972428],"category_scores_gemma":[0.00000671537,0.000040525436,0.00006703188,0.0002460091,0.000019479288,0.000047781414,0.0000018271035,0.000047449485,5.3423906e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068178765,0.000036578258,0.00013625801,0.00006293382,0.00039600066,1.8950177e-8,0.00012435408,0.82486415,0.17061716,0.00016386219,0.00032794575,0.0032638926],"study_design_scores_gemma":[0.00038847944,0.00004779447,0.0043064784,0.00002919281,0.00072874356,0.000002015103,0.0000543493,0.7045675,0.28899872,0.0000934396,0.0006029083,0.0001803894],"about_ca_topic_score_codex":0.00002840678,"about_ca_topic_score_gemma":0.000004925993,"teacher_disagreement_score":0.5817637,"about_ca_system_score_codex":0.000011638481,"about_ca_system_score_gemma":0.0000011233569,"threshold_uncertainty_score":0.16525793},"labels":[],"label_agreement":null},{"id":"W2252638482","doi":"10.13031/trans.57.10125","title":"Comparing Two Statistical Discriminant Models with a Back-Propagation Neural Network Model for Pairwise Classification of Location and Crop Year Specific Wheat Classes at Three Selected Moisture Contents Using NIR Hyperspectral Images","year":2014,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Manitoba","keywords":"Principal component analysis; Hyperspectral imaging; Moisture; Mathematics; Linear discriminant analysis; Backpropagation; Pairwise comparison; Artificial neural network; Pattern recognition (psychology); Artificial intelligence; Statistics; Remote sensing; Geography; Computer science; Meteorology","score_opus":0.06520256830060987,"score_gpt":0.28002201559524365,"score_spread":0.21481944729463376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252638482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42154008,0.00007867614,0.5780538,0.00006032283,0.000013871636,0.00011680245,0.0000291031,0.000014484118,0.000092870076],"genre_scores_gemma":[0.9820208,0.000021575244,0.017696297,0.0000051258153,0.00003548481,0.000015703628,0.00003157329,0.0000235208,0.00014993375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904406,0.00002586391,0.00029032546,0.0002498283,0.00019085704,0.0001990737],"domain_scores_gemma":[0.999098,0.0001293216,0.00019795094,0.000279982,0.00024880763,0.000045916553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074631425,0.00015848801,0.0002911978,0.000049622737,0.0002057168,0.000024678588,0.00014146215,0.00006426343,0.000020905096],"category_scores_gemma":[0.000019217925,0.00011654098,0.000062843625,0.00032533563,0.0002107487,0.0001597423,0.000009453552,0.00013519192,3.1199696e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007155877,0.0001624979,0.007120607,0.00026480595,0.00013265433,7.1242496e-8,0.00021381544,0.5724,0.41712308,0.0015101753,0.00008389953,0.00027284567],"study_design_scores_gemma":[0.00087959727,0.000048734768,0.007209545,0.000059624657,0.00043041728,0.0000052181563,0.00019345958,0.91370285,0.07647018,0.0008743168,0.000001074264,0.00012499998],"about_ca_topic_score_codex":0.00011350906,"about_ca_topic_score_gemma":0.00024572044,"teacher_disagreement_score":0.5604807,"about_ca_system_score_codex":0.00011705138,"about_ca_system_score_gemma":0.0000323172,"threshold_uncertainty_score":0.47524032},"labels":[],"label_agreement":null},{"id":"W2280337647","doi":"10.13031/trans.58.11053","title":"Three-Dimensional Transient Heat, Mass, and Momentum Transfer Model to Predict Conditions of Canola Stored inside Silo Bags under Canadian Prairie Conditions: Part II. Model of Canola Bulk Temperature and Moisture Content","year":2015,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canola Council of Canada","keywords":"Canola; Silo; Transient (computer programming); Environmental science; Water content; Mass transfer; Momentum (technical analysis); Moisture; Heat transfer; Mechanics; Agronomy; Engineering; Meteorology; Physics; Geotechnical engineering; Mechanical engineering; Biology","score_opus":0.037232593233512,"score_gpt":0.249506279396386,"score_spread":0.212273686162874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280337647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98038507,0.00074292294,0.0075643444,0.003843868,0.00006506971,0.0003548712,0.006549923,0.000028221868,0.00046573568],"genre_scores_gemma":[0.9982213,0.000034108794,0.00037752622,0.00021860287,0.0000145734275,0.000065576845,0.00008603023,0.000027701986,0.00095461216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99847275,0.000019335308,0.00047978215,0.0003256623,0.00040740735,0.00029508985],"domain_scores_gemma":[0.99873763,0.000057181467,0.000068026435,0.00041680026,0.0003190279,0.00040133685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010303202,0.00026700608,0.00047706245,0.00022580747,0.00026437765,0.000013667584,0.00020622008,0.00022449272,0.00011707272],"category_scores_gemma":[0.000020485712,0.00022319966,0.00015967175,0.0003978086,0.00036453837,0.00014406843,0.000009946352,0.0003217655,2.5487984e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017431584,0.00037137722,0.0007287756,0.0001671505,0.0007820649,0.0000014363629,0.0017552824,0.4236187,0.56836456,0.0008860263,0.0031391096,0.000011218373],"study_design_scores_gemma":[0.0058777286,0.0005211323,0.0029259026,0.00049989804,0.00328143,0.000059135487,0.0044746595,0.12240739,0.85351217,0.00511288,0.00035518213,0.00097249105],"about_ca_topic_score_codex":0.020230051,"about_ca_topic_score_gemma":0.05976246,"teacher_disagreement_score":0.30121133,"about_ca_system_score_codex":0.00020711213,"about_ca_system_score_gemma":0.00082887855,"threshold_uncertainty_score":0.9862943},"labels":[],"label_agreement":null},{"id":"W2287220022","doi":"10.13031/trans.58.10900","title":"Feasibility of Using PFC3D to Simulate Soil Flow Resulting from a Simple Soil-Engaging Tool","year":2015,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete element method; Elasticity (physics); Elastic modulus; Flow (mathematics); Soil water; Geotechnical engineering; Modulus; Young's modulus; Particle (ecology); Soil science; Mechanics; Mathematics; Biological system; Materials science; Engineering; Environmental science; Geology; Physics; Geometry; Composite material","score_opus":0.05399631126030143,"score_gpt":0.27327479554799017,"score_spread":0.21927848428768873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287220022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8228756,0.000027717866,0.17631368,0.000028383569,0.00032278884,0.00015291404,0.00013044593,0.0000740867,0.000074387586],"genre_scores_gemma":[0.9952158,0.0000031326065,0.004682879,0.000014841359,0.000032165448,0.0000034833058,0.0000033714857,0.000032402724,0.000011947188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903,0.00005032882,0.00035668365,0.00015722463,0.00020440544,0.000201339],"domain_scores_gemma":[0.9991235,0.00010070762,0.000057807592,0.0005357555,0.00010518615,0.00007704395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036944912,0.00013185786,0.00022631728,0.00005796963,0.00009058091,0.000015249863,0.00025664398,0.00007070581,0.000010756252],"category_scores_gemma":[0.000086789754,0.00012104158,0.0001328922,0.0003007277,0.000021776166,0.00011501841,0.000020640386,0.00021334598,0.0000027965868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027499826,0.00002961557,0.00048780668,0.000028000371,0.00004393463,2.6109066e-7,0.0010784972,0.96771,0.02220308,0.000007885947,0.00000699743,0.008376382],"study_design_scores_gemma":[0.00048885366,0.000015790725,0.0005918801,0.00005352971,0.000058738016,9.2474016e-7,0.00046002844,0.98250306,0.014795147,0.00088851986,0.000015364245,0.0001281396],"about_ca_topic_score_codex":0.00083331426,"about_ca_topic_score_gemma":0.00026033385,"teacher_disagreement_score":0.17234018,"about_ca_system_score_codex":0.000112483496,"about_ca_system_score_gemma":0.00004478762,"threshold_uncertainty_score":0.49359325},"labels":[],"label_agreement":null},{"id":"W2290013195","doi":"10.13031/trans.58.11052","title":"Three-Dimensional Transient Heat, Mass, and Momentum Transfer Model to Predict Conditions of Canola Stored inside Silo Bags under Canadian Prairie Conditions: Part I. Soil Temperature Model","year":2015,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canola Council of Canada","keywords":"Silo; Canola; Transient (computer programming); Environmental science; Momentum (technical analysis); Mass transfer; Heat transfer; Mechanics; Hydrology (agriculture); Geotechnical engineering; Engineering; Physics; Agronomy; Mechanical engineering; Biology; Computer science","score_opus":0.039000880684601315,"score_gpt":0.2300491958861106,"score_spread":0.1910483152015093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290013195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98201156,0.00012372232,0.0047195246,0.009657905,0.00013360455,0.00041940794,0.0027557297,0.00003649563,0.00014207287],"genre_scores_gemma":[0.99887633,0.000008400472,0.00025301712,0.000451869,0.000023868297,0.00005571905,0.000081317376,0.000003847387,0.00024563292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880046,0.00003967764,0.00030574005,0.00026490723,0.0003093936,0.00027982052],"domain_scores_gemma":[0.99924135,0.000047656864,0.000027188335,0.00013511948,0.0001934632,0.0003552159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015963562,0.00017518926,0.00023030721,0.00004639555,0.00034981518,0.000020652722,0.00018892688,0.00013781009,0.000037738206],"category_scores_gemma":[0.000009357238,0.00008354969,0.0001308166,0.00026272703,0.00015445478,0.0001497899,0.0000056357167,0.00019971973,0.0000012130097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003974046,0.00008783304,0.00004535288,0.000008832223,0.00005226864,3.260024e-7,0.00043631517,0.88078266,0.116592966,0.00029069118,0.001580324,0.000082702565],"study_design_scores_gemma":[0.0018502265,0.00089028035,0.005255449,0.00037768323,0.00047110225,0.000029717272,0.0020805877,0.9465083,0.029339503,0.011545892,0.000842105,0.00080918765],"about_ca_topic_score_codex":0.021548895,"about_ca_topic_score_gemma":0.21695378,"teacher_disagreement_score":0.19540489,"about_ca_system_score_codex":0.00008093811,"about_ca_system_score_gemma":0.00027862552,"threshold_uncertainty_score":0.9849667},"labels":[],"label_agreement":null},{"id":"W2557528747","doi":"10.13031/trans.59.11664","title":"Extraction of the Sugary Juice from Sweet Pearl Millet and Sweet Sorghum Using a Hydraulic Press and a Four-Roller Press","year":2016,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministère de l'Agriculture et de l'Alimentation","keywords":"Hydraulic press; Sweet sorghum; Pressing; Screw press; Sugar; Extraction (chemistry); Bagasse; Stalk; Mathematics; Pulp and paper industry; Horticulture; Agronomy; Chemistry; Food science; Sorghum; Engineering; Biology","score_opus":0.024085260474856304,"score_gpt":0.2155407908689265,"score_spread":0.1914555303940702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557528747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98542625,0.0010801576,0.010814533,0.0011322297,0.0007186581,0.00031419515,0.00008016105,0.00005512273,0.00037868274],"genre_scores_gemma":[0.9986061,0.00043275548,0.00028849076,0.000018509767,0.000053187956,0.0000049827186,4.4242577e-7,0.000015862835,0.0005796856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993616,0.000051434163,0.00018286415,0.00015378908,0.0001374905,0.0001128682],"domain_scores_gemma":[0.9994817,0.00006172444,0.00006817879,0.00032086164,0.000033013213,0.000034524423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009120144,0.000115126415,0.00013779447,0.000030430643,0.00011159736,0.000011927659,0.0001345328,0.00009401405,0.000054781198],"category_scores_gemma":[0.000008298253,0.00006458182,0.00007704657,0.000075951735,0.00014216494,0.00018667059,0.000017869263,0.00012746401,8.396373e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013075206,0.0000843834,0.00045121156,0.00028714543,0.00019951903,3.5509788e-7,0.0011425136,0.00346405,0.9840622,0.000006750055,0.0011056995,0.009065418],"study_design_scores_gemma":[0.003118529,0.00009398673,0.037626166,0.00049244426,0.0006337588,0.00008265734,0.0006384816,0.023994464,0.90231216,0.00031840475,0.030161683,0.00052726484],"about_ca_topic_score_codex":0.00066885323,"about_ca_topic_score_gemma":0.000027236918,"teacher_disagreement_score":0.08175004,"about_ca_system_score_codex":0.00002169986,"about_ca_system_score_gemma":0.000009011288,"threshold_uncertainty_score":0.26335704},"labels":[],"label_agreement":null},{"id":"W2712783939","doi":"10.13031/trans.59.11347","title":"Development of a Size Reduction Equation for Woody Biomass: The Influence of Branch Wood Properties on Rittinger’s Constant","year":2016,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Forest ecology and management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Oak Ridge National Laboratory; Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Biomass (ecology); Constant (computer programming); Woody plant; Reduction (mathematics); Environmental science; Pulp and paper industry; Mathematics; Botany; Agronomy; Biology; Engineering; Geometry; Computer science","score_opus":0.020425365376806313,"score_gpt":0.21981134107993308,"score_spread":0.19938597570312677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2712783939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97775114,0.000007260092,0.020191064,0.0011128753,0.0000995371,0.0005499887,0.0000068173163,0.000008574701,0.00027273514],"genre_scores_gemma":[0.99795765,0.0000063773905,0.0015247524,0.00001810692,0.000003346006,0.000086274355,1.6359907e-7,0.000004291146,0.0003990465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933875,0.000036752688,0.0002651443,0.000110346,0.00015070062,0.00009831793],"domain_scores_gemma":[0.9994685,0.000103518425,0.00017411706,0.00022207444,0.000020399031,0.000011357497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033028936,0.00006399226,0.00009119047,0.000018987108,0.00014668841,0.0000019439126,0.00020159969,0.000033300006,0.00009788255],"category_scores_gemma":[0.00005877742,0.000031043666,0.00005494663,0.00012513204,0.00041007926,0.00009541686,0.000015590535,0.00003164473,0.000007630544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025985672,0.00037095216,0.00046313723,0.000086432294,0.00010467689,2.3624656e-8,0.0031456267,0.009139836,0.96594524,0.0016227472,0.00009337183,0.018768111],"study_design_scores_gemma":[0.00077351613,0.00023958733,0.05059386,0.0001756553,0.00007437401,0.0000013976992,0.00050969346,0.000083943916,0.9424186,0.004135308,0.00088826736,0.000105840816],"about_ca_topic_score_codex":0.00004341405,"about_ca_topic_score_gemma":0.000076757504,"teacher_disagreement_score":0.050130725,"about_ca_system_score_codex":0.000060428,"about_ca_system_score_gemma":0.000023908324,"threshold_uncertainty_score":0.15109542},"labels":[],"label_agreement":null},{"id":"W2734911920","doi":"10.13031/trans.12010","title":"Control of Gas and Odor Levels in Swine Facilities Using Filters with Zinc Oxide Nanoparticles","year":2017,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan; University of Saskatchewan","keywords":"Hydrogen sulfide; Odor; Filtration (mathematics); Zinc; Ammonia; Nanoparticle; Filter (signal processing); Volumetric flow rate; Ventilation (architecture); Waste management; Air filter; Zinc sulfide; Materials science; Chemistry; Environmental science; Pulp and paper industry; Metallurgy; Nanotechnology; Sulfur; Engineering; Organic chemistry; Electrical engineering; Mechanical engineering","score_opus":0.03217267678420333,"score_gpt":0.24711443143318795,"score_spread":0.21494175464898463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734911920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783563,0.00006900653,0.020789174,0.00054122595,0.000023011255,0.00008631939,0.000042501648,0.000028931436,0.00006354954],"genre_scores_gemma":[0.9989294,0.0000050593453,0.00087907637,0.0000050073572,0.0000030534816,0.0000046290343,7.321787e-8,0.000006719193,0.0001669962],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995305,0.000011370858,0.00016580589,0.00008619425,0.00008623163,0.000119921766],"domain_scores_gemma":[0.99944705,0.00008850326,0.00007400068,0.00034579824,0.000024262765,0.000020360185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009184357,0.00007889947,0.00019129034,0.000036608653,0.00008909658,0.000010294593,0.00021049744,0.000047419864,0.000024440218],"category_scores_gemma":[0.00009584508,0.000051903364,0.000044818593,0.0000404261,0.00021400051,0.000116913674,0.000010994173,0.00010102935,2.5658377e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075940516,0.000022588601,0.0015394269,0.00005175492,0.000035216664,4.77407e-7,0.00013016233,0.011631612,0.9848143,0.00006618485,0.0000015384769,0.0016307868],"study_design_scores_gemma":[0.0013189942,0.000033608456,0.008287491,0.00014162458,0.00004593747,0.0000046100545,0.0004225916,0.021951348,0.9674278,0.00024907358,0.000031958964,0.0000849443],"about_ca_topic_score_codex":0.00043786847,"about_ca_topic_score_gemma":0.000051235656,"teacher_disagreement_score":0.020573106,"about_ca_system_score_codex":0.000013931292,"about_ca_system_score_gemma":0.0000120958675,"threshold_uncertainty_score":0.21165578},"labels":[],"label_agreement":null},{"id":"W2737052834","doi":"10.13031/trans.57.10005","title":"Impact of Different Water Management Scenarios on Corn Water Use Efficiency","year":2014,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Environmental science; Water resource management","score_opus":0.018413289649266182,"score_gpt":0.22025257951240537,"score_spread":0.2018392898631392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737052834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882495,0.0000012359868,0.000105560335,0.00033742125,0.00009882971,0.00014121624,0.000014071922,0.000014602268,0.0004620792],"genre_scores_gemma":[0.99926335,0.0000031517334,0.0000040714044,0.000025630508,0.00001347915,0.0000038537883,0.000004162777,6.0562746e-7,0.00068172603],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99934435,0.000054143275,0.00015999707,0.00012689541,0.00014568746,0.00016894679],"domain_scores_gemma":[0.999731,0.000053116528,0.000023324797,0.00013359395,0.000026397282,0.000032535943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009464021,0.00009037181,0.00012876434,0.000008350289,0.00012139093,0.00001417496,0.00022114973,0.0000365353,0.0006548721],"category_scores_gemma":[0.0000029623172,0.00001853133,0.00025109155,0.000052356445,0.00006421527,0.000040398576,0.000015133115,0.000071314804,0.000013140856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028987648,0.00142836,0.013792223,0.000034700584,0.00010747574,3.178571e-7,0.00058978674,0.001594682,0.931917,0.00008323721,0.00006769081,0.050094653],"study_design_scores_gemma":[0.00016567078,0.00045701195,0.7645514,0.000021380334,0.00003682275,6.1607454e-7,0.000037888898,0.00028574094,0.23388131,0.00027811487,0.00019536093,0.00008866641],"about_ca_topic_score_codex":0.00028272325,"about_ca_topic_score_gemma":0.00010938358,"teacher_disagreement_score":0.7507592,"about_ca_system_score_codex":0.000015401423,"about_ca_system_score_gemma":7.408782e-7,"threshold_uncertainty_score":0.717039},"labels":[],"label_agreement":null},{"id":"W2778323284","doi":"10.13031/trans.11545","title":"Application of DSSAT Model to Simulate Corn Yield under Long-Term Tillage and Residue Practices","year":2017,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"McGill University","keywords":"Tillage; DSSAT; Agronomy; Environmental science; Conventional tillage; Crop residue; Residue (chemistry); Water content; Moisture; Soil carbon; Soil science; Crop yield; Soil water; Agriculture; Chemistry; Engineering; Ecology; Biology","score_opus":0.05151435239921416,"score_gpt":0.28982552361033503,"score_spread":0.2383111712111209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778323284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951668,0.000023029412,0.0025233952,0.0017439254,0.000034495708,0.00016578707,0.000026647527,0.000011340768,0.0003046081],"genre_scores_gemma":[0.999497,0.00002999527,0.00010537306,0.000075286596,0.000013999503,0.0000058179476,0.000001393393,8.883033e-7,0.00027026486],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995566,0.000016198377,0.00011740827,0.000120305034,0.00010923676,0.00008022775],"domain_scores_gemma":[0.9994002,0.000109632376,0.00022945974,0.00017349802,0.000049205897,0.00003798192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100492434,0.00006224663,0.00009680026,0.0000065279037,0.00021974472,0.000025119993,0.00027719283,0.000055102533,0.000013833686],"category_scores_gemma":[0.00003484733,0.000024466895,0.000058273105,0.00005914676,0.000081136706,0.00010023785,0.00002023423,0.00006264281,0.000001598882],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026353478,0.00026932702,0.10951396,0.000053716463,0.00009192281,4.6529408e-7,0.0003279552,0.025986971,0.8087387,0.00056063774,0.000023703122,0.054169122],"study_design_scores_gemma":[0.00012898626,0.00009682918,0.90898377,0.00002600253,0.00007558264,0.0000032764615,0.00009430766,0.059614137,0.029778842,0.0010746743,0.000011983056,0.00011158571],"about_ca_topic_score_codex":0.00075080123,"about_ca_topic_score_gemma":0.0040023485,"teacher_disagreement_score":0.7994698,"about_ca_system_score_codex":0.0000068859135,"about_ca_system_score_gemma":0.0000052675714,"threshold_uncertainty_score":0.22334044},"labels":[],"label_agreement":null},{"id":"W2779926794","doi":"10.13031/trans.12476","title":"Geochemical Evolution and Leachate Transport Beneath Two Carcass Burial Sites: A Field Investigation","year":2017,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Ministry of Agriculture - Saskatchewan","keywords":"Leachate; Colluvium; Coring; Hydrology (agriculture); Geology; Groundwater; Environmental science; Livestock; Environmental chemistry; Soil water; Geography; Forestry; Soil science; Geotechnical engineering; Drilling; Chemistry","score_opus":0.037816193899750855,"score_gpt":0.25386110296526243,"score_spread":0.21604490906551158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779926794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99424374,0.000055001557,0.0003781732,0.004639381,0.000081711354,0.000116809504,0.000022718155,0.00001778441,0.00044470714],"genre_scores_gemma":[0.9995288,0.000023329925,0.000046447258,0.00010107304,0.00008529526,0.000007665967,0.000010061844,5.129157e-7,0.00019677613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951035,0.000034950448,0.00012726207,0.00013907623,0.00007546186,0.0001129094],"domain_scores_gemma":[0.9996997,0.000062659325,0.00008274037,0.00009006998,0.000020318277,0.00004452705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013247147,0.00006924548,0.00010677045,0.0000043116825,0.000406833,0.00001376204,0.00021459938,0.00005346458,0.000084292005],"category_scores_gemma":[0.000034379715,0.000027197688,0.000092109956,0.000038830378,0.00014503062,0.00012320475,0.000012669788,0.00007928464,0.0000023113512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023705758,0.000092239345,0.5597029,0.000028996748,0.00007592709,0.0000011187335,0.00021508225,0.00011096628,0.42109287,0.0026767687,0.00058639975,0.01517973],"study_design_scores_gemma":[0.00021232247,0.00010882394,0.9893859,0.000014918399,0.00009180001,0.0000013680747,0.000087465836,0.0007798195,0.0038833995,0.004996287,0.0003465157,0.00009136715],"about_ca_topic_score_codex":0.0016417115,"about_ca_topic_score_gemma":0.0014758072,"teacher_disagreement_score":0.42968306,"about_ca_system_score_codex":0.000008867111,"about_ca_system_score_gemma":0.0000038985804,"threshold_uncertainty_score":0.31290716},"labels":[],"label_agreement":null},{"id":"W2800129388","doi":"10.13031/trans.12447","title":"Speciation and Geochemical Implications of Carcass Burial Leachate","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Leachate; Alkalinity; Environmental chemistry; Phosphorus; Ammonium; Environmental science; Livestock; Chemistry; Potassium; Sulfate; Bicarbonate; Ecology; Biology","score_opus":0.008650740780034341,"score_gpt":0.21460127846746435,"score_spread":0.20595053768743002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800129388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98447603,0.000013710821,0.00804495,0.0011444485,0.00010548866,0.0001478014,0.000015679338,0.000007707987,0.0060442034],"genre_scores_gemma":[0.99928004,0.000023792629,0.00032907963,0.000026856267,0.000020016018,0.000005303111,7.44817e-7,0.0000028463412,0.0003113009],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996187,0.000011244579,0.000111616144,0.00008979786,0.0000992821,0.00006933029],"domain_scores_gemma":[0.99970466,0.000013690446,0.000054560383,0.00019910984,0.000007927182,0.00002004036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007535268,0.00003949331,0.00005681833,0.000010848331,0.00008209812,0.000003018026,0.00012620862,0.000019975752,0.00046427714],"category_scores_gemma":[0.000004430284,0.000030196865,0.000036949503,0.00012757443,0.0002313405,0.000055922468,0.000023094359,0.000034528304,0.000013148904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024703192,0.0010001301,0.109058276,0.000052534346,0.0001580639,1.7718932e-7,0.0036036866,0.0010784352,0.7841093,0.0048077377,0.009868704,0.086015925],"study_design_scores_gemma":[0.00064135867,0.00015294993,0.5093989,0.000015846126,0.000113096656,0.0000026817747,0.000113253605,0.00069868384,0.46239847,0.008550727,0.017778153,0.0001359167],"about_ca_topic_score_codex":0.00027322685,"about_ca_topic_score_gemma":0.00006397596,"teacher_disagreement_score":0.4003406,"about_ca_system_score_codex":0.000027328888,"about_ca_system_score_gemma":0.0000025900256,"threshold_uncertainty_score":0.5083509},"labels":[],"label_agreement":null},{"id":"W2800854176","doi":"10.13031/trans.12285","title":"Super Absorbent Polymer and Irrigation Regime Effects on Growth and Water Use Efficiency of Container-Grown Cherry Tomatoes","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Irrigation; Greenhouse; Horticulture; Environmental science; Water-use efficiency; Agriculture; Toxicology; Superabsorbent polymer; Water use; Chemistry; Agronomy; Biology; Polymer; Ecology","score_opus":0.006072226371202053,"score_gpt":0.18758992263645535,"score_spread":0.1815176962652533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800854176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980328,0.00012739228,0.0009909585,0.00016859327,0.00016867188,0.00017542242,0.000009968465,0.000046217127,0.0002799724],"genre_scores_gemma":[0.99967545,0.000019645506,0.000041605388,0.000029489282,0.000021936106,0.000010844424,0.0000014053453,0.000011389449,0.00018823032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999467,0.000021716789,0.00014849044,0.00010546408,0.00012021338,0.00013707961],"domain_scores_gemma":[0.99971133,0.000059806567,0.000022841892,0.0001431934,0.0000268554,0.00003593938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040429888,0.00011426969,0.00013010636,0.000040980878,0.00006499645,0.000010708599,0.00007710934,0.00004798299,0.000026274804],"category_scores_gemma":[0.000005886825,0.00006275144,0.000040720206,0.00008612549,0.00010446483,0.00015607184,0.000005749654,0.00006755189,0.0000035239711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019676469,0.00003587283,0.00011524219,0.000093470706,0.000049673446,1.488035e-7,0.00051465206,0.00008208509,0.9980977,0.000078523284,0.000019409117,0.0008935168],"study_design_scores_gemma":[0.00037786015,0.00013339527,0.0109159555,0.00008800549,0.000046564095,0.000002731959,0.000032289612,0.00039656565,0.98787177,0.000036317007,0.000011754033,0.00008682332],"about_ca_topic_score_codex":0.00012612177,"about_ca_topic_score_gemma":0.000014561519,"teacher_disagreement_score":0.010800714,"about_ca_system_score_codex":0.000015568174,"about_ca_system_score_gemma":0.0000031959585,"threshold_uncertainty_score":0.25589293},"labels":[],"label_agreement":null},{"id":"W2801662373","doi":"10.13031/trans.12407","title":"Development of a Framework for the Assessment of Energy Demand-Based Greenhouse Gas Mitigation Options for the Agriculture Sector","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Cenovus Energy","keywords":"Greenhouse gas; Agriculture; Renewable energy; Climate change mitigation; Environmental science; Time horizon; Energy consumption; Environmental economics; Natural resource economics; Environmental engineering; Engineering; Business; Economics","score_opus":0.01387053655439633,"score_gpt":0.2661044043962926,"score_spread":0.2522338678418963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801662373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25482503,0.00002360249,0.7433236,0.0009940785,0.00008384565,0.0006411227,0.00005028184,0.000006905628,0.000051511615],"genre_scores_gemma":[0.94923663,0.000011851132,0.050281644,0.000066579516,0.00001993037,0.00021614581,0.000003455563,0.000008618593,0.00015513947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991814,0.00004526902,0.000271756,0.00012598417,0.00022878409,0.00014684441],"domain_scores_gemma":[0.99897665,0.00042115073,0.00017041931,0.000373626,0.000029127672,0.00002904917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033030045,0.00010150645,0.00011953436,0.00001197698,0.00046658036,0.0000070168444,0.00033916987,0.000064762186,0.00023330214],"category_scores_gemma":[0.000028777522,0.00004914791,0.00018828621,0.00018064615,0.0005060532,0.00007145202,0.000017878032,0.000073898555,6.1044983e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084968546,0.0064596576,0.044091843,0.0006804376,0.0015019062,1.4896811e-7,0.0181823,0.46787986,0.35457492,0.012446816,0.002494664,0.09083777],"study_design_scores_gemma":[0.0011810531,0.00059531437,0.4485668,0.000088230496,0.0005251466,0.0000017041101,0.0031651293,0.033245254,0.49519917,0.007144518,0.010000673,0.0002870065],"about_ca_topic_score_codex":0.0001230156,"about_ca_topic_score_gemma":0.0006216948,"teacher_disagreement_score":0.69441164,"about_ca_system_score_codex":0.00014668105,"about_ca_system_score_gemma":0.000041833144,"threshold_uncertainty_score":0.3588606},"labels":[],"label_agreement":null},{"id":"W2898627612","doi":"10.13031/trans.12629","title":"Comparison of Two Subsoiler Designs Using the Discrete Element Method (DEM)","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; University of Manitoba","keywords":"Rake angle; Rake; Tillage; Hull; Environmental science; Discrete element method; Disturbance (geology); Geotechnical engineering; Engineering; Soil science; Geology; Marine engineering; Mechanical engineering; Geomorphology; Machining; Physics; Mechanics; Ecology","score_opus":0.06463612002307184,"score_gpt":0.35601337282981366,"score_spread":0.2913772528067418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898627612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26431343,0.00004620262,0.7349483,0.000047666093,0.00030185468,0.000114182134,0.000014799814,0.000025669151,0.00018791387],"genre_scores_gemma":[0.98778546,0.000008891546,0.012111949,0.000009760414,0.000032693024,0.000005539804,5.670792e-7,0.000020370066,0.000024752177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993297,0.00005580012,0.00024984387,0.00007687407,0.00014636091,0.00014141816],"domain_scores_gemma":[0.99942523,0.00006237951,0.000060686307,0.0003760666,0.00005351218,0.000022122264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025122767,0.000092585135,0.00016007903,0.00003142647,0.000119659046,0.000008145809,0.0002746512,0.000035882676,0.000053887954],"category_scores_gemma":[0.0000038261446,0.00006008742,0.00011432585,0.00021144403,0.000060073915,0.00004470264,0.000008597259,0.00013402314,0.0000017972008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030412675,0.00011134953,0.0013376598,0.00008298625,0.00040926796,1.162742e-7,0.002931861,0.77507937,0.1847179,0.0027917575,0.00007223168,0.032435127],"study_design_scores_gemma":[0.00016505706,0.00003433696,0.00032242076,0.000022399077,0.000110907196,0.0000014587882,0.00028054538,0.8731136,0.12537205,0.00043538417,0.00007611698,0.00006573122],"about_ca_topic_score_codex":0.00011583598,"about_ca_topic_score_gemma":0.00012236995,"teacher_disagreement_score":0.72347206,"about_ca_system_score_codex":0.000031648568,"about_ca_system_score_gemma":0.000013078082,"threshold_uncertainty_score":0.24502939},"labels":[],"label_agreement":null},{"id":"W2908291624","doi":"10.13031/trans.13025","title":"Energy and Economic Analysis for Greenhouse Envelope Design","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Building envelope; Energy consumption; Glazing; Envelope (radar); Greenhouse; Electricity; Environmental science; Engineering; Curtain wall; Civil engineering; Electrical engineering; Telecommunications; Meteorology; Geography; Horticulture","score_opus":0.023553690566201022,"score_gpt":0.21286118968199538,"score_spread":0.18930749911579436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908291624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92183757,0.000073482974,0.07558356,0.0020081273,0.0000786485,0.00015591404,0.00007039976,0.000070905066,0.000121407356],"genre_scores_gemma":[0.9991755,0.000039357186,0.0003696613,0.00007383619,0.000027011982,0.00002181925,0.0000014406255,6.442153e-7,0.0002907337],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99960566,0.000026181031,0.000110512134,0.00012213952,0.00002854544,0.000106944586],"domain_scores_gemma":[0.99970853,0.00012421217,0.000050173378,0.00007230735,0.000024588824,0.000020199195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010089227,0.000060458216,0.00012360878,0.00001569399,0.00022138936,0.000007694741,0.0001911833,0.00006873169,0.00022212161],"category_scores_gemma":[0.0000038119747,0.000021400763,0.000116583295,0.000173742,0.00016025317,0.00004167196,0.00000665271,0.000026377522,0.0000030997867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066120847,0.00033126326,0.034283563,0.000016422542,0.0027147012,4.4381784e-7,0.00037848132,0.0012097886,0.3198867,0.005745022,0.0010130437,0.6337594],"study_design_scores_gemma":[0.0019615775,0.0028049294,0.5328384,0.000028715385,0.0040149796,0.000019910658,0.0008032165,0.02990826,0.3721,0.024603706,0.029940164,0.0009761148],"about_ca_topic_score_codex":0.00032432805,"about_ca_topic_score_gemma":0.006067427,"teacher_disagreement_score":0.63278323,"about_ca_system_score_codex":0.000007680022,"about_ca_system_score_gemma":0.000004160699,"threshold_uncertainty_score":0.33857667},"labels":[],"label_agreement":null},{"id":"W2908512187","doi":"10.13031/trans.12922","title":"Design and Testing of a Boom Sprayer Prototype to Release <i>Trichogramma ostriniae</i> (Hymenoptera: Trichogrammatidae) in Sweet Corn for Biocontrol of <i>Ostrinia nubilalis</i> (Hübner) (Lepidoptera: Crambidae)","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministère de l'Agriculture et de l'Alimentation; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Crambidae; Sprayer; Trichogrammatidae; Ostrinia; Biology; Lepidoptera genitalia; Horticulture; Biological pest control; Agronomy; European corn borer; Toxicology; Pyralidae; Botany; Parasitoid","score_opus":0.02171586642145297,"score_gpt":0.23154622406865144,"score_spread":0.20983035764719848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908512187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978999,0.000062294224,0.015751025,0.00079614646,0.00017421375,0.003544374,0.0001917501,0.00003171973,0.00044947435],"genre_scores_gemma":[0.9957608,0.0000096307695,0.0035814135,0.000112934846,0.000073473544,0.00034096767,0.0000047971293,0.0000035355886,0.00011245914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984415,0.00014136168,0.00065345736,0.0002878909,0.00017793445,0.00029785238],"domain_scores_gemma":[0.99811196,0.0009881264,0.0003167062,0.00016767519,0.00033378118,0.000081773265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045806682,0.00019101982,0.00040812118,0.00006992704,0.00016241668,0.000028260903,0.0003160424,0.00010519125,0.00007509797],"category_scores_gemma":[0.00015364676,0.00008684672,0.00015119527,0.00087261206,0.00012240789,0.00013324675,0.000016628737,0.00014513917,0.000003180859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027698572,0.000665705,0.004683476,0.00008085725,0.00009376503,8.864338e-7,0.00032276812,0.00039921663,0.7681811,0.000082907376,0.000145002,0.22257449],"study_design_scores_gemma":[0.0093995305,0.022017637,0.06028214,0.0011705229,0.00070248224,0.00007327913,0.000978268,0.014374046,0.8623215,0.00178261,0.025532477,0.0013654944],"about_ca_topic_score_codex":0.0013383115,"about_ca_topic_score_gemma":0.00035136734,"teacher_disagreement_score":0.22120899,"about_ca_system_score_codex":0.000018705623,"about_ca_system_score_gemma":0.000031674666,"threshold_uncertainty_score":0.35415065},"labels":[],"label_agreement":null},{"id":"W2910006428","doi":"10.13031/trans.12932","title":"Discrete Element Modeling of Soil Displacement Resulting from Hoe Openers","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete element method; Geotechnical engineering; Displacement (psychology); Soil science; Structural engineering; Engineering; Geology; Mechanics; Physics","score_opus":0.009426243970286397,"score_gpt":0.21278870484809662,"score_spread":0.2033624608778102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910006428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8100666,0.000046447978,0.18863465,0.0000597948,0.00033818404,0.00014316264,0.00007572917,0.00002791684,0.00060752506],"genre_scores_gemma":[0.99898535,0.000065054606,0.00081279845,0.0000062079453,0.000008816959,0.000007861578,0.000006488571,0.000020626707,0.000086803884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993393,0.0000132478035,0.0002611458,0.00009999984,0.0001586432,0.00012769003],"domain_scores_gemma":[0.9995262,0.000022938906,0.000044498043,0.0003508303,0.000031590265,0.000023954079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110869674,0.00008993135,0.00014175323,0.000029154231,0.000036106725,0.000007336157,0.00021794744,0.000037924678,0.00004463964],"category_scores_gemma":[0.0000031399425,0.00007333116,0.000091671005,0.00011841567,0.000009151141,0.000067850524,0.00001228901,0.00010685814,0.000004278181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001377575,0.000014601222,0.0001200454,0.00003565439,0.00007953269,3.582845e-8,0.00025342128,0.98383623,0.013286407,0.00012610444,0.0000032879277,0.0022309166],"study_design_scores_gemma":[0.00037456557,0.000016802695,0.00017810636,0.00008186964,0.00004601131,1.4834701e-7,0.00042026408,0.98962253,0.009002412,0.00015643038,0.000018037945,0.00008283262],"about_ca_topic_score_codex":0.00046515188,"about_ca_topic_score_gemma":0.000111169975,"teacher_disagreement_score":0.18891874,"about_ca_system_score_codex":0.00004061054,"about_ca_system_score_gemma":0.000012140842,"threshold_uncertainty_score":0.2990358},"labels":[],"label_agreement":null},{"id":"W2921271844","doi":"10.13031/trans.13110","title":"Improvements and Evaluation of an In-Field Bin Filler for Apple Bruising and Distribution","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Michigan Apple Committee; McMaster University; Microsoft","keywords":"Bin; Sorting; Filler (materials); Bruise; Materials science; Mathematics; Environmental science; Composite material; Agricultural engineering; Engineering; Algorithm","score_opus":0.026187047362508147,"score_gpt":0.26030094895967265,"score_spread":0.2341139015971645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921271844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935424,0.00003306924,0.000070072834,0.00018814878,0.000027409042,0.00021186947,0.00009105786,0.000001956615,0.000022144259],"genre_scores_gemma":[0.9998944,0.000010437205,0.000016770415,0.000015591266,0.0000040879,0.000011170651,0.000024369105,1.2792268e-7,0.000023077695],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997596,0.000023787834,0.0000703658,0.000059916878,0.000049680395,0.000036637743],"domain_scores_gemma":[0.99982417,0.00007870331,0.000036272322,0.000018899147,0.000036480007,0.0000054601765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015055898,0.000025887919,0.000055051572,0.000002810745,0.000053883425,0.0000020065586,0.00002807311,0.000023850034,0.00002102693],"category_scores_gemma":[0.000009751126,0.00000975014,0.000014420213,0.000053009866,0.000019172283,0.00005772971,0.0000032816304,0.000020538713,1.4930207e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054334003,0.00005323345,0.005524286,0.00001075296,0.000012288116,2.0017576e-9,0.00011084951,0.00008013978,0.92496186,0.000063130814,0.000015573554,0.06911353],"study_design_scores_gemma":[0.0004926248,0.00023618538,0.91551423,0.000023392296,0.0000317442,4.0734076e-7,0.0008434525,0.0023709417,0.07868918,0.0015967479,0.00015054976,0.000050544466],"about_ca_topic_score_codex":0.00007104608,"about_ca_topic_score_gemma":0.00012905603,"teacher_disagreement_score":0.90998995,"about_ca_system_score_codex":0.0000032574076,"about_ca_system_score_gemma":0.0000018516786,"threshold_uncertainty_score":0.041443318},"labels":[],"label_agreement":null},{"id":"W2967326080","doi":"10.13031/trans.13271","title":"Optimal Housing and Manure Management Strategies to Favor Productive and Environment-Friendly Dairy Farms in Québec, Canada: Part I. Representative Farm Simulations","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Manure; Milking; Greenhouse gas; Manure management; Environmental science; Agricultural science; Stall (fluid mechanics); Context (archaeology); Animal science; Agricultural economics; Engineering; Environmental engineering; Geography; Agronomy; Economics; Biology; Ecology","score_opus":0.00543662291940738,"score_gpt":0.20918084771524256,"score_spread":0.20374422479583518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967326080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952133,0.000041756106,0.0012655181,0.0018015888,0.000045295754,0.00082502695,0.00003363683,0.000007528229,0.0007663374],"genre_scores_gemma":[0.9979447,0.000028890403,0.0007436711,0.000057550824,0.0000052908426,0.00002050975,0.0000021999574,0.000008298387,0.0011888467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989947,0.00005398022,0.00017997382,0.00034532143,0.00021947124,0.0002065275],"domain_scores_gemma":[0.99955744,0.000034859706,0.00005398505,0.00028243478,0.0000025161753,0.00006879208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008293465,0.0001423417,0.00013915922,0.000023338678,0.00015215833,0.000019068688,0.00013583364,0.000033124812,0.00026851348],"category_scores_gemma":[0.0000044196045,0.000104550956,0.000028835399,0.00015334014,0.00022613617,0.00025665897,0.0000834692,0.00013099462,0.000005570069],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006584221,0.00015576712,0.03885654,0.000038301085,0.0000537941,0.0000027853416,0.0049811355,0.9483713,0.0024526487,0.000027473912,0.00013570553,0.0048587397],"study_design_scores_gemma":[0.00058779924,0.0001592163,0.94246316,0.00002990241,0.000080440615,0.0000073838537,0.04814153,0.00085571944,0.0022347078,0.00026998733,0.004867799,0.00030235908],"about_ca_topic_score_codex":0.20122425,"about_ca_topic_score_gemma":0.3336136,"teacher_disagreement_score":0.94751555,"about_ca_system_score_codex":0.0004692428,"about_ca_system_score_gemma":0.000024316598,"threshold_uncertainty_score":0.80409485},"labels":[],"label_agreement":null},{"id":"W2968922304","doi":"10.13031/trans.13272","title":"Optimal Housing and Manure Management Strategies to Favor Productive and Environment-Friendly Dairy Farms in Québec, Canada: Part II. Greenhouse Gas Mitigation Methods","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Manure management; Manure; Environmental science; Carbon footprint; Cropping; Context (archaeology); Agricultural science; Anaerobic digestion; Waste management; Environmental engineering; Agricultural engineering; Engineering; Agronomy; Agriculture; Geography; Ecology","score_opus":0.0050804619369654155,"score_gpt":0.21741295838738467,"score_spread":0.21233249645041927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968922304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929051,0.00006485108,0.0033115905,0.002481141,0.000054355998,0.00070215506,0.0000121886005,0.000009728169,0.0004588803],"genre_scores_gemma":[0.99193656,0.0000635261,0.006957133,0.000065429,0.000006158134,0.000026715506,0.0000015217678,0.000010067805,0.0009329047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989894,0.000086368935,0.00018199513,0.00032491545,0.00020275351,0.00021455539],"domain_scores_gemma":[0.99957293,0.000024419049,0.000056529327,0.00026950467,0.0000020766763,0.00007450876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019219416,0.00014959968,0.00014713846,0.000023102755,0.00017786594,0.00001663091,0.00014023352,0.000041251405,0.00019694857],"category_scores_gemma":[0.000004077395,0.00010932893,0.00003166676,0.0001345429,0.00020682778,0.00031884856,0.0000884597,0.00013398971,0.0000042054053],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002636156,0.00072803604,0.04698797,0.00026302997,0.00019626161,0.000008967453,0.016796295,0.77058107,0.023980655,0.000113646456,0.00078821153,0.13929224],"study_design_scores_gemma":[0.0009337817,0.0005169903,0.9247307,0.000069089845,0.00016880402,0.00002261586,0.04265271,0.00073679385,0.012398919,0.00068574224,0.016509736,0.000574106],"about_ca_topic_score_codex":0.15033512,"about_ca_topic_score_gemma":0.19683836,"teacher_disagreement_score":0.87774277,"about_ca_system_score_codex":0.0005060724,"about_ca_system_score_gemma":0.000023057846,"threshold_uncertainty_score":0.8553229},"labels":[],"label_agreement":null},{"id":"W2980381312","doi":"10.13031/trans.13462","title":"Microbial Population Change in Anaerobic Digestion during Copper Sulfate Inhibition and Recovery","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methanogen; Food science; Microbial population biology; Biology; Anaerobic digestion; Illumina dye sequencing; Methanosaeta; Manure; Population; Raw material; Microbiology; Bacteria; Biochemistry; Agronomy; Ecology; DNA sequencing; Methane; Gene","score_opus":0.007971921508133714,"score_gpt":0.1917224919720301,"score_spread":0.18375057046389637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980381312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984726,0.00006797648,0.00022632608,0.00023595404,0.0005535453,0.00027760956,0.000009019622,0.00006843116,0.000088595676],"genre_scores_gemma":[0.99945956,0.0001742005,0.0001009675,0.000011719791,0.000034683533,0.000010708259,0.000014419838,0.000013337477,0.00018041313],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995125,0.000022960705,0.00016968545,0.00011897063,0.000069098234,0.00010681435],"domain_scores_gemma":[0.9997876,0.000006882827,0.00003352254,0.00013771256,0.000016474378,0.000017806855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007621634,0.00008607104,0.00010058418,0.00011758912,0.00004563938,0.00001129961,0.000036978625,0.00007109276,0.000043127082],"category_scores_gemma":[0.0000028672243,0.00007732345,0.000043279404,0.00021634047,0.000020357664,0.0003431416,0.000003960728,0.000117962176,0.00001086455],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017883215,0.00015029848,0.038212806,0.00028332794,0.000057771646,8.9634506e-7,0.0011347253,0.12827684,0.81515235,0.00069833593,0.00006737936,0.015786465],"study_design_scores_gemma":[0.00079658267,0.00004864294,0.9319872,0.0002110775,0.00002650793,0.000017971282,0.00006958375,0.0009981004,0.065404914,0.0001117268,0.00013997973,0.00018769642],"about_ca_topic_score_codex":0.000261945,"about_ca_topic_score_gemma":0.00021739533,"teacher_disagreement_score":0.8937744,"about_ca_system_score_codex":0.00007707716,"about_ca_system_score_gemma":0.0000030752792,"threshold_uncertainty_score":0.31531587},"labels":[],"label_agreement":null},{"id":"W2981087435","doi":"10.13031/trans.13430","title":"The Effectiveness of Air Ionization in Reducing Bioaerosols and Airborne PRRS Virus in a Ventilated Space","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Indoor bioaerosol; Aerosol; Airflow; Porcine reproductive and respiratory syndrome virus; Ventilation (architecture); Environmental science; Particle size; Bioaerosol; Environmental engineering; Particle (ecology); Environmental chemistry; Chemistry; Meteorology; Virus; Medicine; Biology; Virology; Ecology; Physics","score_opus":0.006356496582153674,"score_gpt":0.24142748938478398,"score_spread":0.2350709928026303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981087435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955183,0.00011099521,0.003067334,0.00025024798,0.00019034103,0.0006525023,0.0000026450468,0.000009567528,0.0001980609],"genre_scores_gemma":[0.99975145,0.000035036534,0.000023800201,0.000006257948,0.0000061679275,0.000015422047,0.0000017012825,0.0000072448897,0.00015291091],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99936473,0.00014394622,0.00021014038,0.00009910941,0.000098281846,0.000083769984],"domain_scores_gemma":[0.99948066,0.00017649255,0.00008642174,0.0001800777,0.00006319627,0.000013119524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005412394,0.000060295028,0.00015825684,0.00008993489,0.000047036418,0.000003776617,0.000039889197,0.000054059412,0.000013989953],"category_scores_gemma":[0.00004480277,0.000039989827,0.00005701656,0.0004347922,0.000053402582,0.00007459626,0.0000038079947,0.0001259618,0.0000018171705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027924897,0.00045730566,0.13304798,0.0005175272,0.0001029321,6.77767e-7,0.0007081037,0.046361748,0.80989635,0.0004924631,0.0000030660422,0.0056193704],"study_design_scores_gemma":[0.0013977798,0.00014365862,0.7772386,0.00050223165,0.000046499445,0.0000057078078,0.00008281221,0.0074859173,0.21290356,0.00013344473,0.000016502627,0.000043263084],"about_ca_topic_score_codex":0.0004040203,"about_ca_topic_score_gemma":0.00015692798,"teacher_disagreement_score":0.6441906,"about_ca_system_score_codex":0.00004505983,"about_ca_system_score_gemma":0.00003799916,"threshold_uncertainty_score":0.1630738},"labels":[],"label_agreement":null},{"id":"W2999597988","doi":"10.13031/trans.13414","title":"Seasonal and Intra-Event Nutrient Levels in Farmed Prairie Potholes of the Des Moines Lobe","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Leopold Center for Sustainable Agriculture, Iowa State University; Iowa State University; U.S. Environmental Protection Agency","keywords":"Hydrology (agriculture); Drainage; Environmental science; Nutrient; Growing season; Phosphorus; Animal science; Surface runoff; Standing crop; Surface water; Agronomy; Geology; Ecology; Biology; Chemistry; Environmental engineering","score_opus":0.009127922634953574,"score_gpt":0.21101734982871304,"score_spread":0.20188942719375946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999597988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967913,0.00003500788,0.0016994798,0.0007998775,0.0001409301,0.00022422949,0.000031766907,0.000005652276,0.0002717365],"genre_scores_gemma":[0.99928164,0.000016779784,0.00021290498,0.000033605815,0.00000405307,0.000007003645,4.134029e-7,0.0000056946074,0.00043787525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993474,0.000048348706,0.00016343642,0.000121402285,0.00019426653,0.00012515421],"domain_scores_gemma":[0.9996351,0.00003853736,0.00006370387,0.00023105564,0.000007039982,0.000024547046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012246064,0.000079105586,0.000106698695,0.000016932438,0.0000626187,0.000005539948,0.00023494245,0.00003492933,0.00006311647],"category_scores_gemma":[0.0000075808234,0.000045943885,0.000072014765,0.00022219906,0.00037694193,0.00009606734,0.00003712746,0.000089848516,0.0000061287124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031309868,0.00020866847,0.9785611,0.0000393759,0.00001511117,1.4310432e-7,0.0010720221,0.011699103,0.004287933,0.00016922534,0.000026990723,0.0038890205],"study_design_scores_gemma":[0.00052928645,0.000042399173,0.9705743,0.00006737076,0.00002237845,0.0000057381503,0.0002777613,0.0020380334,0.017526507,0.008524428,0.0003119551,0.00007980985],"about_ca_topic_score_codex":0.00022902244,"about_ca_topic_score_gemma":0.00018396354,"teacher_disagreement_score":0.013238573,"about_ca_system_score_codex":0.00004784914,"about_ca_system_score_gemma":0.000012116651,"threshold_uncertainty_score":0.18735372},"labels":[],"label_agreement":null},{"id":"W3000653672","doi":"10.13031/trans.13435","title":"Inundation Patterns of Farmed Pothole Depressions with Varying Subsurface Drainage","year":2019,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Leopold Center for Sustainable Agriculture, Iowa State University","keywords":"Drainage; Hydrology (agriculture); Pothole (geology); Surface runoff; Infiltration (HVAC); Subsurface flow; Geology; Tile drainage; Arable land; Environmental science; Inlet; Tillage; Soil water; Geomorphology; Agriculture; Groundwater; Geography; Soil science; Agronomy; Geotechnical engineering; Ecology","score_opus":0.00999876595359458,"score_gpt":0.19036711603377215,"score_spread":0.18036835008017757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000653672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973284,0.000010550298,0.0007936772,0.0004903735,0.000084279935,0.00019271154,0.00004552455,0.000021979557,0.001032493],"genre_scores_gemma":[0.99912655,0.0000086668115,0.00007321459,0.000042592033,0.0000056630456,0.000005087702,0.000011584571,9.316504e-7,0.000725733],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994294,0.000032937813,0.00014669592,0.00011297092,0.00018128716,0.00009671106],"domain_scores_gemma":[0.99969697,0.00006851905,0.00007797976,0.00009266418,0.000037070775,0.000026812373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007487196,0.00006870494,0.00011147303,0.000008520881,0.00009259376,0.000006052774,0.0001890232,0.000039780214,0.00074017036],"category_scores_gemma":[0.000001930825,0.00002211142,0.00008157246,0.00020011383,0.000034162164,0.000088942776,0.0000043538134,0.00007862952,0.000006309106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007020215,0.00017889243,0.10764741,0.000024614536,0.000025109517,1.8771897e-7,0.00036338498,0.0017453074,0.88100314,0.000059337304,0.0000065255977,0.008875875],"study_design_scores_gemma":[0.0004251807,0.00018835948,0.77510375,0.00012316482,0.00004988873,0.0000022132413,0.0006217196,0.00020680508,0.22275873,0.000072564966,0.00032965004,0.00011799643],"about_ca_topic_score_codex":0.00031217246,"about_ca_topic_score_gemma":0.00017999644,"teacher_disagreement_score":0.6674563,"about_ca_system_score_codex":0.0000062769927,"about_ca_system_score_gemma":0.0000064827436,"threshold_uncertainty_score":0.81043464},"labels":[],"label_agreement":null},{"id":"W3009619317","doi":"10.13031/trans.13559","title":"Surface Covers Affect Liquid Manure Temperature, Albedo, and Evaporation","year":2020,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Manure; Liquid manure; Evaporation; Environmental science; Straw; Aeration; Environmental engineering; Chemistry; Agronomy; Meteorology","score_opus":0.025773633961439266,"score_gpt":0.26887605013231264,"score_spread":0.24310241617087336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009619317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96831495,0.0002780062,0.02039057,0.0078283325,0.00040624203,0.0003941707,0.000048721646,0.00014013817,0.0021988824],"genre_scores_gemma":[0.9951339,0.000043019216,0.0035725918,0.00035067028,0.000038918664,0.000008405434,0.000008549688,0.00002383089,0.0008201668],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999014,0.00025160835,0.00020791366,0.00021864747,0.0001819607,0.00012585366],"domain_scores_gemma":[0.9993136,0.00010684291,0.00008828899,0.00035536874,0.000060463633,0.00007546592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019952936,0.00013087952,0.00016698791,0.000025463043,0.00014065881,0.000029095727,0.0002126281,0.00011335469,0.00020705014],"category_scores_gemma":[0.00005061566,0.000102975726,0.00009923623,0.0003234106,0.00008611171,0.00018789066,0.000008260713,0.0002181672,0.000023291137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045050494,0.000087759974,0.00032439496,0.000099035315,0.00018770194,0.000001004581,0.0032577547,0.09647612,0.89413077,0.0020556527,0.001303522,0.001625763],"study_design_scores_gemma":[0.0008107978,0.00025669893,0.0023327123,0.000027244416,0.00015174573,0.000009203318,0.00038089152,0.0022445181,0.9837208,0.0004493838,0.009377169,0.00023884294],"about_ca_topic_score_codex":0.00012980441,"about_ca_topic_score_gemma":0.00003070979,"teacher_disagreement_score":0.094231606,"about_ca_system_score_codex":0.000023187798,"about_ca_system_score_gemma":0.000031892338,"threshold_uncertainty_score":0.41992283},"labels":[],"label_agreement":null},{"id":"W3010549801","doi":"10.13031/trans.13551","title":"Evaluation of Automated, In-Cockpit Swath Displacement","year":2020,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Aerial application; Offset (computer science); Avionics; Displacement (psychology); Computer science; Real-time computing; Simulation; Remote sensing; Aerospace engineering; Engineering; Geology","score_opus":0.05638128710368979,"score_gpt":0.24335712008235266,"score_spread":0.18697583297866288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010549801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978302,0.00010334667,0.000010740607,0.0015010244,0.000034477678,0.00018338043,0.000050730927,0.00001739083,0.00026870644],"genre_scores_gemma":[0.99988264,0.000020700656,0.00002318342,0.0000255479,0.000004054277,0.0000083452205,0.0000038732796,2.8484808e-7,0.000031342584],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99943465,0.00006157581,0.00012534064,0.000073123294,0.00024114181,0.000064182816],"domain_scores_gemma":[0.99983793,0.00002250046,0.00004767712,0.000030744366,0.000042571133,0.000018576384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014998994,0.00004466838,0.00007966568,0.0000029342634,0.000039228486,0.0000029802143,0.000105921295,0.000020575682,0.00024967515],"category_scores_gemma":[0.000009682358,0.000013594311,0.00005330137,0.0001596495,0.000018506029,0.00004103013,0.0000055676096,0.000032181233,0.000006008634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019048931,0.00078197743,0.023173053,0.0000393999,0.00019423435,5.510481e-7,0.0012009537,0.04019808,0.82757854,0.000033890454,0.00016834386,0.10644047],"study_design_scores_gemma":[0.0017392248,0.00077447604,0.5807621,0.0001264951,0.0005029472,0.0000030764845,0.0010775394,0.15854616,0.25483054,0.00031452646,0.00107419,0.00024872602],"about_ca_topic_score_codex":0.0002540144,"about_ca_topic_score_gemma":0.00022702331,"teacher_disagreement_score":0.572748,"about_ca_system_score_codex":0.000016759408,"about_ca_system_score_gemma":0.00000801681,"threshold_uncertainty_score":0.2733768},"labels":[],"label_agreement":null},{"id":"W3024295552","doi":"10.13031/trans.13325","title":"Bench-Scale Pig Buildings: Validation of a Model for Studying Airborne Contaminants of Concern for Human and Animal Health","year":2020,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indoor bioaerosol; Environmental science; Contamination; Manure; Waste management; Environmental engineering; Environmental chemistry; Engineering; Biology; Ecology; Chemistry","score_opus":0.06299493271647456,"score_gpt":0.30088161431717003,"score_spread":0.23788668160069548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024295552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75919217,0.000016942755,0.23898172,0.0009909477,0.000017873313,0.00057063997,0.00020415346,0.0000053620283,0.000020164454],"genre_scores_gemma":[0.9960202,0.0000060053876,0.0037818314,0.00011202482,0.0000060659677,0.00001587379,0.0000033846318,0.0000071953455,0.00004739364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993628,0.000027739823,0.0002842831,0.00012910645,0.000091541406,0.000104493905],"domain_scores_gemma":[0.9996208,0.00003876412,0.00018878627,0.00010010426,0.000019368335,0.00003217774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023705827,0.00006395486,0.0001909378,0.000010018026,0.0001539436,0.0000031106265,0.00013056843,0.000033653112,0.00002137231],"category_scores_gemma":[0.000008830839,0.00005496261,0.000085604064,0.00007460609,0.00015507176,0.00009201579,0.000012645828,0.000045807647,1.9488787e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028468182,0.0002443839,0.0009773077,0.00046044707,0.000046814115,1.5262287e-8,0.019806262,0.029024867,0.94286597,0.00047897975,0.00021600028,0.0055942703],"study_design_scores_gemma":[0.0034506964,0.002283423,0.006044142,0.00012389403,0.0001868293,0.0000013219734,0.0027008823,0.05084915,0.93287027,0.0009763233,0.00029106968,0.00022202315],"about_ca_topic_score_codex":0.00031572604,"about_ca_topic_score_gemma":0.00014350966,"teacher_disagreement_score":0.23682803,"about_ca_system_score_codex":0.000026768557,"about_ca_system_score_gemma":0.000018113675,"threshold_uncertainty_score":0.22413102},"labels":[],"label_agreement":null},{"id":"W3045551711","doi":"10.13031/trans.13668","title":"Comparison of RZWQM2 and DNDC Models to Simulate Greenhouse Gas Emissions under Combined Inorganic/Organic Fertilization in a Subsurface-Drained Field","year":2020,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Manure; Water content; Soil carbon; Fertilizer; Soil water; Environmental engineering; Soil science; Agronomy; Hydrology (agriculture); Engineering; Ecology","score_opus":0.030115982316907167,"score_gpt":0.25234286798661626,"score_spread":0.2222268856697091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045551711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92244,0.000010248721,0.07431414,0.0028721723,0.00003352333,0.00021830613,0.0000071564937,0.000022140493,0.000082351],"genre_scores_gemma":[0.99942553,0.000013424275,0.0002764383,0.00021615652,0.000002114624,0.0000028252525,0.0000015795408,0.000012667631,0.000049245184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992276,0.00004268617,0.0002731477,0.00016808594,0.00016287893,0.00012561907],"domain_scores_gemma":[0.99957526,0.000063620595,0.000062150444,0.00020245339,0.000009573322,0.00008696045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053214924,0.000096901735,0.00018406847,0.000027388147,0.00007048592,0.000006770148,0.00020815183,0.000059987957,0.00011981641],"category_scores_gemma":[0.00001506445,0.0000776827,0.000043504715,0.00050505454,0.0000580103,0.00012006557,0.00004352196,0.00011268111,0.0000055352493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022529301,0.00026830565,0.110406,0.000023652743,0.000015826114,2.1009429e-7,0.0060094055,0.8493841,0.03306873,0.00003074577,0.0000503028,0.0005174166],"study_design_scores_gemma":[0.0013622129,0.00042370448,0.036976986,0.000051005056,0.00006671639,8.8014093e-7,0.00084497896,0.9008515,0.053032998,0.006162741,0.000019306792,0.00020699023],"about_ca_topic_score_codex":0.00025591635,"about_ca_topic_score_gemma":0.00022042604,"teacher_disagreement_score":0.07698558,"about_ca_system_score_codex":0.00003549193,"about_ca_system_score_gemma":0.00000917641,"threshold_uncertainty_score":0.31678087},"labels":[],"label_agreement":null},{"id":"W3048939269","doi":"10.13031/trans.13434","title":"Evaluation of Filtering Methods for Hydrograph Separation in Small Agricultural Watersheds in Québec, Canada","year":2020,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydrograph; Snowmelt; Hydrology (agriculture); Streamflow; Environmental science; Surface runoff; Watershed; Filter (signal processing); Drainage; Precipitation; Drainage basin; Geology; Meteorology; Computer science; Geography; Ecology","score_opus":0.039515901680430975,"score_gpt":0.29447415041653746,"score_spread":0.2549582487361065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048939269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97667134,0.000032460102,0.017654689,0.004632706,0.000065992084,0.000427991,0.000003535273,0.000004538709,0.0005067714],"genre_scores_gemma":[0.9979229,0.0000050483777,0.0019032893,0.00007555279,0.000002575891,0.000054125365,0.0000013606798,0.0000022345616,0.000032941858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99940985,0.0001317799,0.00017117361,0.000099105215,0.00009959383,0.000088517416],"domain_scores_gemma":[0.99982154,0.00004076904,0.00004583735,0.00007065022,0.000009027216,0.000012170379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004793936,0.000053076914,0.000097439886,0.000017422637,0.000042722993,0.0000015215458,0.00011553453,0.000020342333,0.000071373535],"category_scores_gemma":[0.000021412383,0.000036837097,0.00004026736,0.00019624614,0.000047798076,0.00006395128,0.000012963543,0.000046500718,5.092612e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054910026,0.000069303875,0.021430666,0.00004342341,0.00007104691,1.2042752e-7,0.0047500227,0.9106017,0.045829326,0.0000074152704,0.00020584172,0.016936244],"study_design_scores_gemma":[0.002481833,0.00021757476,0.5961916,0.0000461186,0.00046493617,9.3047936e-7,0.0020693997,0.21009225,0.18531081,0.0009908653,0.0018138199,0.000319873],"about_ca_topic_score_codex":0.2799483,"about_ca_topic_score_gemma":0.8375264,"teacher_disagreement_score":0.7005094,"about_ca_system_score_codex":0.00010497151,"about_ca_system_score_gemma":0.000018403669,"threshold_uncertainty_score":0.7248466},"labels":[],"label_agreement":null},{"id":"W3122014609","doi":"10.13031/trans.13905","title":"The Impact of Rain Exposure During Loading of Wood Pellets for Ocean Shipment: An Experimental Study","year":2021,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pellets; Durability; Pellet; Environmental science; Water content; Pulp and paper industry; Materials science; Composite material; Geotechnical engineering; Geology; Engineering","score_opus":0.01122889843898552,"score_gpt":0.25279206381808383,"score_spread":0.2415631653790983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122014609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963115,0.0007291714,0.0023158686,0.0000141250675,0.00016583319,0.00025223385,0.000022979526,0.000032661887,0.00015562057],"genre_scores_gemma":[0.9995387,0.00003740762,0.00016841551,4.41806e-7,0.000022312943,0.00001552102,0.0000010691335,0.000022474365,0.00019366153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993685,0.000023574297,0.00025585303,0.00008976505,0.0001158324,0.0001464806],"domain_scores_gemma":[0.99948794,0.00008168002,0.000040316805,0.0003189652,0.0000467366,0.000024350855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116031406,0.00011914981,0.00020104815,0.000036145713,0.00012323109,0.000010262317,0.00018185831,0.000025879675,0.000018387665],"category_scores_gemma":[0.000012429095,0.00008101624,0.00020964284,0.00012722188,0.000033481258,0.0000820667,0.000013273192,0.000087927394,1.2145438e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015803022,0.0014800017,0.006779283,0.0004417048,0.0022610144,0.0000027122942,0.022638243,0.60228467,0.36193532,0.000069507056,0.00011639712,0.001833133],"study_design_scores_gemma":[0.0014563891,0.00061052636,0.024786664,0.00007085017,0.00013517152,0.0000061305864,0.01176297,0.0047073257,0.95619166,0.00003678364,0.00003734533,0.00019817121],"about_ca_topic_score_codex":0.000030333009,"about_ca_topic_score_gemma":0.000029858234,"teacher_disagreement_score":0.59757733,"about_ca_system_score_codex":0.00003670875,"about_ca_system_score_gemma":0.000015271255,"threshold_uncertainty_score":0.33037463},"labels":[],"label_agreement":null},{"id":"W3137492370","doi":"10.13031/trans.14011","title":"Effectiveness of Denitrifying Bioreactors on Water Pollutant Reduction from Agricultural Areas","year":2021,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Iowa Soybean Association; U.S. Department of Agriculture","keywords":"Denitrifying bacteria; Environmental science; Pollutant; Bioreactor; Agriculture; Environmental engineering; Water resource management; Denitrification; Nitrogen; Chemistry; Ecology; Biology; Botany","score_opus":0.009079479288938097,"score_gpt":0.20014795781654374,"score_spread":0.19106847852760564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137492370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904895,0.000021751222,0.0001482939,0.000110542605,0.00022727615,0.000120902696,0.000033548222,0.00001265661,0.00027608263],"genre_scores_gemma":[0.9993081,0.0000059666527,0.00035570914,0.0000022676559,0.000011665108,0.0000053978943,0.000011573714,0.000006711721,0.00029261116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992714,0.00012286252,0.00013620369,0.00016157732,0.00018817176,0.00011976573],"domain_scores_gemma":[0.99966335,0.000038922743,0.00004159188,0.00021691027,0.000010622695,0.00002858333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006478608,0.000098939476,0.0001326576,0.000016467298,0.00009417682,0.000006830898,0.00011620241,0.0000450733,0.00056735706],"category_scores_gemma":[0.00000285461,0.000051058007,0.00016427613,0.0001603203,0.00009025435,0.00009833113,0.000013975917,0.00007667475,0.000035694582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072180505,0.00017009687,0.0014452477,0.000008007211,0.00008621377,0.0000012657649,0.00028304078,0.0011171907,0.996125,0.0000021503133,0.0000048428356,0.0006847874],"study_design_scores_gemma":[0.00030201225,0.000040060197,0.099657595,0.000041567873,0.00011028158,0.000013834138,0.00019789388,0.000007930129,0.89938396,0.00017000406,0.000014240113,0.000060607403],"about_ca_topic_score_codex":0.0006076962,"about_ca_topic_score_gemma":0.000026151794,"teacher_disagreement_score":0.09821235,"about_ca_system_score_codex":0.00007923314,"about_ca_system_score_gemma":0.00000531972,"threshold_uncertainty_score":0.6212162},"labels":[],"label_agreement":null},{"id":"W3160102663","doi":"10.13031/trans.58.10930","title":"Reliability Model for Designing Solar-Powered Center-Pivot Irrigation Systems","year":2015,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Center pivot irrigation; Environmental science; Agricultural engineering; Irrigation; Sizing; Reliability (semiconductor); Solar energy; Evapotranspiration; Engineering; Power (physics); Electrical engineering; Agronomy","score_opus":0.04419863805001377,"score_gpt":0.2385944750529828,"score_spread":0.19439583700296903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160102663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025482079,0.000037970258,0.9641703,0.0004083549,0.0004890809,0.0005152266,0.0001077011,0.0000617989,0.008727527],"genre_scores_gemma":[0.9939772,0.0000011978428,0.004507126,0.000024961128,0.000013272356,0.0000868391,0.0000025516308,0.000014587564,0.0013722802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990032,0.00007032327,0.00025011064,0.00021399709,0.00026073694,0.0002016651],"domain_scores_gemma":[0.9993656,0.00005172939,0.00009762704,0.0003842389,0.000036886224,0.00006387262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003613501,0.00011500939,0.00015326693,0.000017493678,0.0002202981,0.000012922834,0.00027456175,0.000053759675,0.000014386451],"category_scores_gemma":[0.00003192345,0.00008430406,0.00010842482,0.0001273067,0.00015321081,0.00023881135,0.000027006014,0.00006986952,0.000011691988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010976252,0.00027404825,0.00059041,0.00004312265,0.000053133495,1.14218814e-7,0.0019868726,0.9729487,0.02109626,0.0007337893,0.0014652218,0.00069858116],"study_design_scores_gemma":[0.0016138158,0.0002483785,0.0014016402,0.000070575516,0.00014906931,0.000007217977,0.0010674518,0.8794308,0.04188535,0.07293362,0.00084367243,0.00034841226],"about_ca_topic_score_codex":0.000538756,"about_ca_topic_score_gemma":0.00017772346,"teacher_disagreement_score":0.96849513,"about_ca_system_score_codex":0.00020291784,"about_ca_system_score_gemma":0.000017188182,"threshold_uncertainty_score":0.34378198},"labels":[],"label_agreement":null},{"id":"W3177124781","doi":"10.13031/trans.14050","title":"Aerosol and Gas Phase Concentrations from an Adapted Annular Denuder System in a Broiler Housing Facility","year":2021,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Particulates; Ammonia; Environmental chemistry; Broiler; Environmental science; Gas phase; Chemistry; Ammonium chloride; Ammonium; Environmental engineering; Food science","score_opus":0.019857025282681656,"score_gpt":0.2545657002754221,"score_spread":0.23470867499274042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177124781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9053199,0.0003459816,0.093342885,0.0004116013,0.0000778847,0.00010029654,0.00018330166,0.00014383145,0.000074264935],"genre_scores_gemma":[0.9993025,0.000019154937,0.0005901897,0.000014098228,0.000008487996,0.000010452565,0.000008656184,0.000006712127,0.000039755258],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935925,0.000034913402,0.00021011029,0.00016721312,0.0001007886,0.00012771558],"domain_scores_gemma":[0.99947304,0.00006341234,0.000032592114,0.0003419804,0.000046756784,0.000042223524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005014701,0.00008976944,0.00017431221,0.000023840414,0.00007956227,0.0000168064,0.00011699577,0.00009581171,0.000078517434],"category_scores_gemma":[0.000045692115,0.000074319854,0.000057944406,0.00017733166,0.000054613913,0.0001229558,0.000009530115,0.00019014836,0.0000014617962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036761197,0.00018353699,0.00048697676,0.000045552082,0.000048828217,0.000005263623,0.0004580005,0.008133653,0.98015034,0.00007443696,0.000012078248,0.010364586],"study_design_scores_gemma":[0.002243232,0.000025183817,0.0005894184,0.00016925189,0.00009247799,0.000008789042,0.0027640194,0.116202794,0.8774159,0.00011027244,0.00020520706,0.0001734802],"about_ca_topic_score_codex":0.00021496681,"about_ca_topic_score_gemma":0.0001361176,"teacher_disagreement_score":0.108069144,"about_ca_system_score_codex":0.000040894483,"about_ca_system_score_gemma":0.0000298723,"threshold_uncertainty_score":0.3030676},"labels":[],"label_agreement":null},{"id":"W3188710009","doi":"10.13031/trans.14613","title":"The Manitoba Land Calculator: A Tool to Estimate Land Requirements for Manure Application in Manitoba, Canada","year":2021,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Agriculture Food and Rural Development; Genome Prairie","funders":"","keywords":"Livestock; Manure; Nutrient management; Manure management; Land use; Environmental science; Sustainability; Production (economics); Agricultural science; Calculator; Nutrient; Agroforestry; Agricultural engineering; Geography; Agronomy; Engineering; Computer science; Forestry; Ecology; Biology; Economics","score_opus":0.009492164970369199,"score_gpt":0.23715674300473227,"score_spread":0.22766457803436307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188710009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898937,0.000023083,0.0066601587,0.0023428902,0.00009805231,0.0006975581,0.000042864187,0.0000070666233,0.00023467331],"genre_scores_gemma":[0.9989445,0.0000054623843,0.0003277797,0.00013908591,0.000011172903,0.000115397226,0.00000595065,0.0000067216492,0.00044390242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992104,0.000031799762,0.0001731517,0.00017305471,0.00020887097,0.00020271489],"domain_scores_gemma":[0.9995448,0.000044878394,0.000041523203,0.0003155366,0.0000074551467,0.0000458183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001293754,0.0000913227,0.00008856222,0.000005653236,0.00026768493,0.000017209133,0.00021928173,0.00003546149,0.000043976917],"category_scores_gemma":[0.000017183516,0.000055685414,0.000055077457,0.00017003073,0.000058377766,0.00008538408,0.00002939826,0.00008057339,0.000008235336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018758785,0.00047393,0.69316125,0.00010536043,0.000090854955,0.0000062982617,0.00071696733,0.23428586,0.011179745,0.00008419239,0.004143845,0.055564094],"study_design_scores_gemma":[0.00041291944,0.000036269677,0.9691207,0.00001564373,0.00004288145,0.000009297513,0.0011267059,0.0009156155,0.005348841,0.00072914537,0.022086175,0.00015583029],"about_ca_topic_score_codex":0.21030898,"about_ca_topic_score_gemma":0.9430383,"teacher_disagreement_score":0.7327293,"about_ca_system_score_codex":0.00062699954,"about_ca_system_score_gemma":0.000031160158,"threshold_uncertainty_score":0.79494965},"labels":[],"label_agreement":null},{"id":"W3205503685","doi":"10.13031/trans.14253","title":"The Development of a GIS-Based Framework to Locate Biomass and Municipal Solid Waste Collection Points for an Optimal Waste Conversion Facility","year":2021,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Municipal solid waste; Biomass (ecology); Environmental science; Bioenergy; Raw material; Geographic information system; Agriculture; Waste management; Environmental engineering; Biofuel; Engineering; Geography; Remote sensing; Ecology","score_opus":0.0255178718911179,"score_gpt":0.25539768551275854,"score_spread":0.22987981362164064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205503685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4224817,0.000036711346,0.57660985,0.00022955936,0.0002253763,0.00030266875,0.000028028004,0.00003741993,0.00004867585],"genre_scores_gemma":[0.986023,0.000011118035,0.013729905,0.000019558822,0.000004404517,0.00004135671,0.000008200578,0.00000913106,0.00015331154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993696,0.000032146585,0.00023381358,0.00011542289,0.0001213807,0.00012758533],"domain_scores_gemma":[0.9995018,0.000057011028,0.000035553723,0.0002724009,0.0000864064,0.00004679535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017758594,0.00008922609,0.00011080758,0.000052006766,0.00022981162,0.00001719057,0.00012829449,0.00004985259,0.000018371911],"category_scores_gemma":[0.000017373159,0.000068385605,0.00005816849,0.00030549776,0.000056220415,0.0000504074,0.000013299383,0.000051843257,0.0000011745539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008571638,0.00043807024,0.00025198917,0.0014374589,0.0006257608,5.3412435e-7,0.009492441,0.9026214,0.062462676,0.00033276418,0.0007758654,0.020703906],"study_design_scores_gemma":[0.0006167047,0.00009484306,0.00044134268,0.00007517531,0.000057945603,6.879537e-7,0.0027867663,0.27588302,0.7166963,0.000070653834,0.0031524892,0.00012402146],"about_ca_topic_score_codex":0.000009673218,"about_ca_topic_score_gemma":0.000324258,"teacher_disagreement_score":0.65423363,"about_ca_system_score_codex":0.000047958427,"about_ca_system_score_gemma":0.00003912017,"threshold_uncertainty_score":0.2788684},"labels":[],"label_agreement":null},{"id":"W3210475910","doi":"10.13031/trans.14515","title":"Comparative Life Cycle Assessment of Edible Vegetable Frying Oils","year":2021,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Context (archaeology); Life-cycle assessment; Environmental science; Cottonseed oil; Vegetable oil; Climate change; Edible oil; Cottonseed; Scarcity; Agricultural science; Pulp and paper industry; Engineering; Production (economics); Geography; Food science; Chemistry; Economics","score_opus":0.01714593265825048,"score_gpt":0.2792407093130499,"score_spread":0.2620947766547994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210475910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9502035,0.00007055227,0.028633265,0.00024336789,0.0002463475,0.00020695943,0.000016509723,0.000012689351,0.020366807],"genre_scores_gemma":[0.99726784,0.000005316629,0.0017824799,0.000028519225,0.000007397591,0.000015814589,5.676783e-7,0.0000040446016,0.0008880362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911064,0.000103156686,0.00024504322,0.00015018125,0.00025399227,0.0001369989],"domain_scores_gemma":[0.9993607,0.000061994084,0.000092970644,0.00039937324,0.00003394336,0.000051050498],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024664446,0.00007095458,0.00021249804,0.000011363789,0.00013523437,0.0000071904533,0.00018432547,0.000036577032,0.0012839064],"category_scores_gemma":[0.00001906602,0.000054447773,0.00012005036,0.00030299718,0.00015630522,0.00012693016,0.000028971066,0.00011343704,0.0000070213277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022346805,0.0011507459,0.09882799,0.00023490233,0.00017417541,0.0000021452154,0.0038170666,0.25151736,0.6420652,0.00018204005,0.0010264167,0.0009795793],"study_design_scores_gemma":[0.00063808187,0.00007026796,0.36753225,0.0000644207,0.00008950086,0.0000074727536,0.004023711,0.016533585,0.60649997,0.0018227579,0.002521315,0.00019666791],"about_ca_topic_score_codex":0.002461241,"about_ca_topic_score_gemma":0.0003800517,"teacher_disagreement_score":0.26870427,"about_ca_system_score_codex":0.00010753182,"about_ca_system_score_gemma":0.000092389375,"threshold_uncertainty_score":0.9996291},"labels":[],"label_agreement":null},{"id":"W4245873576","doi":"10.13031/trans.58.11326","title":"Model for Estimating Feedlot Manure Quantity and Nutrient Content","year":2015,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feedlot; Manure; Nutrient; Phosphorus; Manure management; Nitrogen; Animal science; Agronomy; Fertilizer; Environmental science; Bedding; Chemistry; Biology; Horticulture","score_opus":0.08419842406563634,"score_gpt":0.25882214610171544,"score_spread":0.17462372203607912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245873576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38657653,0.000036539874,0.611876,0.0005277052,0.00013932554,0.0003431873,0.000015225756,0.000013808511,0.00047163584],"genre_scores_gemma":[0.9771449,0.000008874038,0.021576084,0.00006850322,0.0000052697014,0.000031341686,6.4314065e-7,0.000005817766,0.001158598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945843,0.000010148675,0.00012808779,0.00012723998,0.00015974177,0.000116368356],"domain_scores_gemma":[0.9996741,0.000016694408,0.000054411532,0.00018733044,0.000010202728,0.000057272668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019077426,0.00006668321,0.00008604338,0.000010286956,0.000124299,0.000010718723,0.00015055163,0.000020711504,0.000025778529],"category_scores_gemma":[0.000011645039,0.000047704307,0.000055558146,0.0000732707,0.00009635791,0.00010266012,0.000028590746,0.00004610695,0.000006012588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033615335,0.0009216727,0.015210526,0.00010898074,0.00009631589,3.132794e-7,0.0036150424,0.948151,0.0042442065,0.0043354337,0.009225267,0.013755084],"study_design_scores_gemma":[0.0010289439,0.000119627446,0.0061162203,0.000023385004,0.000071284165,0.0000017028171,0.0003490523,0.98025274,0.0044138706,0.006561457,0.0009377591,0.00012395774],"about_ca_topic_score_codex":0.00023732397,"about_ca_topic_score_gemma":0.000073527815,"teacher_disagreement_score":0.5905683,"about_ca_system_score_codex":0.000055082724,"about_ca_system_score_gemma":0.0000052412424,"threshold_uncertainty_score":0.19453253},"labels":[],"label_agreement":null}]}