{"meta":{"query_hash":"7487709dcc51","filters":{"venue":"Grassland Science"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/7487709dcc51","api":"https://metacan.xera.ac/api/v1/cohort?venue=Grassland+Science"},"results":[{"id":"W1541725440","doi":"10.1111/j.1744-697x.2011.00227.x","title":"Etiolated regrowth of three bromegrass (Bromus) species after defoliation at different developmental stages","year":2011,"lang":"en","type":"article","venue":"Grassland Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Bromus inermis; Biology; Etiolation; Bromus; Agronomy; Dormancy; Temperate climate; Botany; Poaceae; Germination","score_opus":0.043508965132098426,"score_gpt":0.20825342943325306,"score_spread":0.16474446430115464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541725440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99957937,0.00009333528,0.00004644345,0.0000021067397,0.000001376725,0.000005111779,0.0001260527,0.0000043674854,0.00014165742],"genre_scores_gemma":[0.99724686,0.0001524264,0.0005613612,0.000034941975,0.0000017511021,0.000014807941,0.0008334223,0.0000054537227,0.001148851],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990344,0.000008273074,0.000008580857,0.000033846412,0.00001746734,0.0000283679],"domain_scores_gemma":[0.99964917,0.000037216047,0.000085198204,0.000022891958,0.00008580045,0.00011969459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020320462,0.0003323434,0.00025208938,0.0004325012,0.00031083947,0.00026430286,0.00020891914,0.00020190889,0.00046859423],"category_scores_gemma":[0.00015188291,0.00019973883,0.00024750695,0.00017334304,0.0001750824,0.00017734442,0.00024311693,0.00038571778,0.00018849815],"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":[0.0013657023,0.00018404088,0.120868266,0.00009028308,0.00004178509,0.00015619108,0.00051565253,0.00013369239,0.8710739,0.000028110198,0.00006604672,0.005476369],"study_design_scores_gemma":[0.000011867458,0.0007823296,0.98080945,0.0000049454184,0.00001512425,0.00010383217,0.00015130518,0.00016081904,0.017592583,0.000009412163,0.00035135806,0.000006979161],"about_ca_topic_score_codex":0.017393438,"about_ca_topic_score_gemma":0.05843351,"teacher_disagreement_score":0.017393438,"about_ca_system_score_codex":0.00071165414,"about_ca_system_score_gemma":0.00036593454,"threshold_uncertainty_score":0.034584403},"labels":[],"label_agreement":null},{"id":"W1547500531","doi":"10.1111/j.1744-697x.2010.00181.x","title":"Effects of harvest time across maturity stages and within a day on the nutritive value in the first crop of timothy (<i>Phleum pratense</i> L.)","year":2010,"lang":"en","type":"article","venue":"Grassland Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","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":"Phleum; Maturity (psychological); Crop; Value (mathematics); Agronomy; Biology; Harvest time; Animal science; Mathematics; Statistics; Psychology","score_opus":0.00950549018232298,"score_gpt":0.22479265441613908,"score_spread":0.2152871642338161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547500531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998313,0.000032354994,0.00004183299,0.000002954761,0.0000011467941,0.0000016457756,0.000043774715,0.0000024247342,0.000042539774],"genre_scores_gemma":[0.9989386,0.00003242605,0.0002503294,0.00002150526,0.0000019808049,0.0000069175007,0.00030414996,0.000009306722,0.00043482837],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984515,0.000026974594,0.000012292551,0.00005514811,0.000028336612,0.000032042655],"domain_scores_gemma":[0.9993037,0.00018185387,0.00018487098,0.00004174844,0.00007626903,0.00021159451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003240371,0.0002767884,0.0002863666,0.00042582897,0.00027493184,0.0004466767,0.00020155591,0.00016951578,0.00054233667],"category_scores_gemma":[0.0003540976,0.00015134843,0.00033408107,0.00025146955,0.00016871211,0.00021643384,0.00021122595,0.00034948805,0.00010368382],"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":[0.0016809531,0.000142245,0.06212662,0.000030223815,0.00007607423,0.00014744367,0.00021684828,0.00010964474,0.9321533,0.000020845573,0.000048178834,0.0032476394],"study_design_scores_gemma":[0.00000986352,0.0005341903,0.97389865,0.0000019929105,0.00003789723,0.000064916654,0.0001474119,0.00046134501,0.024636978,0.000008007171,0.00019023233,0.00000841027],"about_ca_topic_score_codex":0.0076840613,"about_ca_topic_score_gemma":0.014988023,"teacher_disagreement_score":0.0076840613,"about_ca_system_score_codex":0.0007389505,"about_ca_system_score_gemma":0.00025813634,"threshold_uncertainty_score":0.015278637},"labels":[],"label_agreement":null},{"id":"W1598748049","doi":"10.1111/grs.12098","title":"Evaluating the impacts of nearly 30 years of conservation on grassland ecosystem using Landsat <scp>TM</scp> images","year":2015,"lang":"en","type":"article","venue":"Grassland Science","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":11,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Saskatchewan","keywords":"Grassland; Grazing; Biodiversity; Environmental science; Overgrazing; Grassland degradation; Grassland ecosystem; Ecosystem; Litter; Biomass (ecology); Agroforestry; Ecology; Biology","score_opus":0.05445605445435014,"score_gpt":0.30364959495843796,"score_spread":0.24919354050408782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598748049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99883074,0.00008127733,0.00031390192,0.000012106723,0.0000053902677,0.000014075219,0.00031719348,0.000023363978,0.00040197533],"genre_scores_gemma":[0.99860674,0.00004465261,0.00069567893,0.000010147934,0.0000042577576,0.000009798611,0.0004934274,0.0000026230082,0.00013264963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997087,0.000054966116,0.000029071845,0.000052095693,0.00010089003,0.00005412752],"domain_scores_gemma":[0.99923635,0.0001614237,0.000248891,0.000057452213,0.00018446773,0.000111457215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008315825,0.00024085841,0.0001912567,0.00088221836,0.0002546177,0.0004317622,0.00017464522,0.00031625928,0.00055012165],"category_scores_gemma":[0.0008495633,0.00008818436,0.000327758,0.00060556264,0.00016213313,0.00037477704,0.0002369215,0.00015728382,0.00008702901],"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":[0.0005005304,0.0005980478,0.9145148,0.00013691958,0.00042251655,0.00038863425,0.00018774072,0.017149394,0.019784229,0.00007207383,0.0006656771,0.04557951],"study_design_scores_gemma":[0.0000040762807,0.00024434173,0.9867265,0.000008063158,0.000051834428,0.00005051282,0.00016768396,0.010568699,0.0018095694,0.000023366681,0.00033673237,0.000008613913],"about_ca_topic_score_codex":0.008205905,"about_ca_topic_score_gemma":0.016583307,"teacher_disagreement_score":0.008205905,"about_ca_system_score_codex":0.00035264346,"about_ca_system_score_gemma":0.00025828602,"threshold_uncertainty_score":0.016316235},"labels":[],"label_agreement":null},{"id":"W1751229526","doi":"10.1111/j.1744-697x.2010.00190.x","title":"Quantifying regrowth characteristics of three bromegrass (<i>Bromus</i>) species in response to defoliation at different developmental stages","year":2010,"lang":"en","type":"article","venue":"Grassland Science","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Agriculture and Agri-Food Canada","keywords":"Bromus inermis; Tiller (botany); Agronomy; Bromus; Biology; Biomass (ecology); Poaceae","score_opus":0.028499653961862517,"score_gpt":0.24440258477583723,"score_spread":0.2159029308139747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1751229526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99968183,0.000040423736,0.00006348524,0.0000017843205,5.5730465e-7,0.0000036097792,0.00010788271,0.0000053581484,0.00009504703],"genre_scores_gemma":[0.9984518,0.000058862766,0.0004887347,0.00001895226,6.9438494e-7,0.000010204203,0.00051404705,0.0000050392446,0.00045161918],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999925,0.0000070755495,0.000005835495,0.00002867596,0.000013691779,0.000019720655],"domain_scores_gemma":[0.999632,0.000033693665,0.00010814298,0.00001934621,0.00006992678,0.0001367705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020463916,0.0003445824,0.00024597262,0.0004060527,0.0002464212,0.0003154282,0.00020621435,0.00019811733,0.0004613593],"category_scores_gemma":[0.0001429639,0.00018740265,0.00022756719,0.00017862233,0.00017844357,0.00016580637,0.00018892567,0.0002949155,0.00019048541],"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":[0.00059574615,0.00008858134,0.14744924,0.000060818224,0.00004864293,0.000078350924,0.00030472907,0.00013273499,0.8481344,0.000012724543,0.000041646243,0.003052484],"study_design_scores_gemma":[0.0000044367835,0.0002672901,0.9876824,0.0000020651582,0.000009904359,0.000059258866,0.00015491075,0.00011669726,0.011526612,0.0000045486486,0.00016796506,0.0000038115254],"about_ca_topic_score_codex":0.015382023,"about_ca_topic_score_gemma":0.038916983,"teacher_disagreement_score":0.015382023,"about_ca_system_score_codex":0.000587323,"about_ca_system_score_gemma":0.00023008118,"threshold_uncertainty_score":0.030584991},"labels":[],"label_agreement":null},{"id":"W1982099207","doi":"10.1111/j.1744-697x.2009.00169.x","title":"Population dynamics of greenbug biotypes “E” and “F” on Texas bluegrass","year":2010,"lang":"en","type":"article","venue":"Grassland Science","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poa pratensis; Biology; Agronomy; Population; Perennial plant; Forage; Hybrid; Poa annua; Poaceae","score_opus":0.005681540549413877,"score_gpt":0.21747739457385393,"score_spread":0.21179585402444004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982099207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99985063,0.000006132021,0.000016835314,0.0000014046773,3.2730114e-7,0.0000030895194,0.000042922926,7.7534077e-7,0.00007787393],"genre_scores_gemma":[0.9993192,0.0000125548395,0.00013304033,0.000009241084,5.540907e-7,0.000009278553,0.00025300367,8.5687014e-7,0.00026222604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998474,0.000026233696,0.000009191486,0.000042609197,0.000029691766,0.000044811815],"domain_scores_gemma":[0.99955803,0.00009447049,0.00010937459,0.000029108382,0.00009130931,0.00011773963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018116088,0.00023575586,0.00011722154,0.00032535082,0.00021427292,0.00020682673,0.00020395349,0.00018368383,0.00053342455],"category_scores_gemma":[0.00023397805,0.00007995965,0.00013182685,0.00016018862,0.0001703634,0.000108362095,0.0001913366,0.00018285868,0.000102817896],"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":[0.0010334111,0.00027036332,0.27436662,0.000030836865,0.000044749348,0.00016729033,0.000493519,0.00035706273,0.71729743,0.000097732795,0.00012937345,0.0057116034],"study_design_scores_gemma":[0.00001871042,0.0010926152,0.98434514,0.0000052861246,0.000016685284,0.00007669105,0.00042088408,0.0007584173,0.012851583,0.000014461656,0.00039150336,0.000008087874],"about_ca_topic_score_codex":0.012133262,"about_ca_topic_score_gemma":0.026502626,"teacher_disagreement_score":0.012133262,"about_ca_system_score_codex":0.00057624443,"about_ca_system_score_gemma":0.00022404693,"threshold_uncertainty_score":0.024125278},"labels":[],"label_agreement":null},{"id":"W2072752034","doi":"10.1111/grs.12055","title":"Genetic linkage map of <i><scp>L</scp>olium multiflorum</i> Lam. constructed from a BC<sub>1</sub> population derived from an interspecific hybridization, <i><scp>L</scp>. multiflorum</i> × <i><scp>Lolium</scp> temulentum</i> L. × <i><scp>L</scp>. temulentum</i>","year":2014,"lang":"en","type":"article","venue":"Grassland Science","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Lolium multiflorum; Centimorgan; Biology; Quantitative trait locus; Linkage (software); Population; Genetics; Genetic linkage; Synteny; Botany; Gene mapping; Gene; Chromosome","score_opus":0.009374357028463242,"score_gpt":0.20203086908049628,"score_spread":0.19265651205203305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072752034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849613,0.00023736508,0.010188364,0.00008255157,0.000009053595,0.00010275943,0.0023927938,0.00013458457,0.001891229],"genre_scores_gemma":[0.9458077,0.00025590116,0.03458652,0.00006809726,0.000011940544,0.00018262726,0.015052224,0.00005374083,0.0039811856],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998932,0.000015856796,0.00000655251,0.00004255697,0.000024526928,0.000017266348],"domain_scores_gemma":[0.9997961,0.000033048276,0.000052812007,0.000013077673,0.00004336105,0.0000616684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020288768,0.00027190876,0.00015010238,0.0012517477,0.00035883393,0.0001647238,0.00031052702,0.00013554236,0.0013924828],"category_scores_gemma":[0.00026614981,0.00011499454,0.0002424098,0.0006523607,0.00011077226,0.000079283825,0.00030960824,0.00040235132,0.00051987567],"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":[0.00023304035,0.0001070268,0.0053747906,0.00006606967,0.00003349302,0.0002331095,0.0001675504,0.00032203796,0.97326803,0.00033265926,0.00030136932,0.019560752],"study_design_scores_gemma":[0.0005302848,0.0014658293,0.74053967,0.00019630625,0.00038680862,0.0023601367,0.0003891029,0.0090152705,0.19465072,0.0010248271,0.049343653,0.00009737682],"about_ca_topic_score_codex":0.007720272,"about_ca_topic_score_gemma":0.008288921,"teacher_disagreement_score":0.007720272,"about_ca_system_score_codex":0.00077508995,"about_ca_system_score_gemma":0.0005340969,"threshold_uncertainty_score":0.01535064},"labels":[],"label_agreement":null},{"id":"W2543307461","doi":"10.1111/grs.12132","title":"Silicon mediates the changes in water relations, photosynthetic pigments, enzymatic antioxidants activity and nutrient uptake in maize seedling under salt stress","year":2016,"lang":"en","type":"article","venue":"Grassland Science","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Shoot; Seedling; Salinity; Photosynthesis; Nutrient; Soil salinity; Chemistry; Sodium; Photosynthetic pigment; Potassium; Dry weight; Horticulture; Biomass (ecology); Agronomy; Botany; Biology; Ecology","score_opus":0.011923176078475916,"score_gpt":0.21551216317605973,"score_spread":0.2035889870975838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543307461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833506,0.00066844607,0.00046707797,0.000051158775,0.000008347341,0.000009423507,0.00010189188,0.00001662345,0.00034207045],"genre_scores_gemma":[0.99853706,0.00021137291,0.00035710962,0.000031737658,0.0000022369243,0.000010626465,0.000096223244,0.000005056689,0.00074862025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999404,0.000009691988,0.000005238757,0.000016129106,0.000012131206,0.000016364444],"domain_scores_gemma":[0.9998952,0.000015476422,0.000023274599,0.0000066305656,0.000021325975,0.000038108265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109784196,0.0002922977,0.00027270266,0.00014255224,0.00024410523,0.00024950807,0.00017599325,0.00030292865,0.00083011424],"category_scores_gemma":[0.0001006705,0.00019262749,0.0001924874,0.0000962141,0.00019608147,0.00029911316,0.00024473935,0.00046223178,0.00009925121],"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":[0.00010743448,0.000010361054,0.00035202396,0.00002336129,0.0000037274544,0.00001682495,0.000017972226,0.000012682213,0.9992131,0.000020180834,0.000007333556,0.00021500576],"study_design_scores_gemma":[0.0000788853,0.0014387986,0.13862868,0.000022988963,0.00006600524,0.00015554318,0.0003904564,0.001633651,0.85541874,0.00028705515,0.001854469,0.000024697169],"about_ca_topic_score_codex":0.0025339588,"about_ca_topic_score_gemma":0.003665427,"teacher_disagreement_score":0.0025339588,"about_ca_system_score_codex":0.00035600548,"about_ca_system_score_gemma":0.0003217898,"threshold_uncertainty_score":0.00503844},"labels":[],"label_agreement":null},{"id":"W2784279099","doi":"10.1111/grs.12192","title":"Quantifying the influences of grazing, climate and their interactions on grasslands using Landsat TM images","year":2018,"lang":"en","type":"article","venue":"Grassland Science","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Priority Academic Program Development of Jiangsu Higher Education Institutions; China Scholarship Council","keywords":"Grazing; Grassland; Environmental science; Grassland ecosystem; Precipitation; Conservation grazing; Vegetation (pathology); Ecosystem; Climate change; Ecology; Geography; Biology","score_opus":0.03679626503722804,"score_gpt":0.3004922212649779,"score_spread":0.26369595622774983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784279099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991861,0.000031698884,0.00032090428,0.000003768296,8.4807806e-7,0.00000585678,0.00026995313,0.000008302756,0.00017244638],"genre_scores_gemma":[0.99813145,0.00003024249,0.0013506666,0.00000846484,0.0000013378512,0.000008544714,0.00034608206,0.0000027412154,0.00012058537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998418,0.000039482908,0.000011471655,0.000041584233,0.000035715788,0.000029896693],"domain_scores_gemma":[0.99976844,0.00007313819,0.00006532025,0.000018814044,0.00004282981,0.000031564585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000341553,0.00021277371,0.00018435955,0.00049818057,0.00013974117,0.00041775976,0.00016921025,0.00015488472,0.00032246264],"category_scores_gemma":[0.00032558324,0.00012504874,0.00018785633,0.0005541972,0.00013033496,0.00019030679,0.00016921927,0.00011742369,0.000065438115],"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":[0.00029332805,0.00019680825,0.816373,0.000090903246,0.00037375756,0.00014571834,0.00016529257,0.008066271,0.15375254,0.000065117085,0.0002845695,0.020192694],"study_design_scores_gemma":[0.0000016624382,0.00002370026,0.9936213,0.0000019026295,0.000023320297,0.000016944678,0.00006784235,0.00481894,0.0013488325,0.000008940646,0.0000629441,0.0000037309771],"about_ca_topic_score_codex":0.020200651,"about_ca_topic_score_gemma":0.06466039,"teacher_disagreement_score":0.020200651,"about_ca_system_score_codex":0.00046913078,"about_ca_system_score_gemma":0.00021012076,"threshold_uncertainty_score":0.04016614},"labels":[],"label_agreement":null},{"id":"W2979933551","doi":"10.1111/grs.12262","title":"A new temporal prediction method of grazing pressure based on normalized difference vegetation index and precipitation using nonlinear autoregressive with exogenous input networks","year":2019,"lang":"en","type":"article","venue":"Grassland Science","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Qingdao National Laboratory for Marine Science and Technology","keywords":"Normalized Difference Vegetation Index; Grazing; Grazing pressure; Environmental science; Autoregressive model; Vegetation (pathology); Arid; Rangeland; Grassland; Enhanced vegetation index; Overgrazing; Precipitation; Statistics; Mathematics; Meteorology; Ecology; Leaf area index; Vegetation Index; Agroforestry; Geography","score_opus":0.007512434938094832,"score_gpt":0.22796433225732202,"score_spread":0.22045189731922718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979933551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08954431,0.00027105535,0.90756345,0.00015795823,0.00008648144,0.000042398933,0.00014847708,0.00054497435,0.0016410098],"genre_scores_gemma":[0.9091645,0.00030275751,0.08689102,0.0000622965,0.000064810985,0.00008956377,0.00034114785,0.000038721042,0.0030452234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999711,0.00006764549,0.000020790238,0.000095013915,0.000076297205,0.000029318795],"domain_scores_gemma":[0.9996711,0.00010110429,0.000045715267,0.00001866722,0.0001475199,0.000015851308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005978588,0.00060520926,0.000388579,0.00052856177,0.00024798172,0.0005435101,0.0005195165,0.0003689475,0.00071953674],"category_scores_gemma":[0.0012128523,0.00031146334,0.00048180652,0.00036982138,0.00016699143,0.00057776726,0.00034770512,0.0006234691,0.00019884783],"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":[0.0002595917,0.00017574505,0.015974639,0.00013647752,0.0001769023,0.00024119957,0.00014684917,0.72508126,0.0148700755,0.0033181822,0.0020355834,0.2375836],"study_design_scores_gemma":[0.0000025498175,0.0000076102,0.0007284424,0.0000020049279,0.000006131394,0.0000064103997,0.0000043189557,0.9985927,0.0004224484,0.00011677023,0.00010760557,0.000003049698],"about_ca_topic_score_codex":0.0120273465,"about_ca_topic_score_gemma":0.00823685,"teacher_disagreement_score":0.0120273465,"about_ca_system_score_codex":0.0003927424,"about_ca_system_score_gemma":0.0005439996,"threshold_uncertainty_score":0.023914695},"labels":[],"label_agreement":null},{"id":"W4283163569","doi":"10.1111/grs.12375","title":"Effects of land use and yak grazing on behavior and body mass of plateau pika in Tibetan plateau rangelands","year":2022,"lang":"en","type":"article","venue":"Grassland Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Science and Technology Plan Projects of Tibet Autonomous Region","keywords":"Pika; Foraging; Plateau (mathematics); Ecology; Rangeland; Grazing; Occupancy; Habitat; Biology; Geography; National park","score_opus":0.008511161435549834,"score_gpt":0.21066326599344826,"score_spread":0.20215210455789842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283163569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998479,0.000020806812,0.000014046285,0.0000037273085,7.0270755e-7,8.2519495e-7,0.00003476887,8.190895e-7,0.00007626094],"genre_scores_gemma":[0.99983966,0.0000081854205,0.000015670366,0.000004147774,0.0000013875134,0.0000017732661,0.0000606239,4.5846758e-7,0.00006805476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985266,0.000049135466,0.0000115982975,0.00003658032,0.000016817554,0.000033291642],"domain_scores_gemma":[0.9996468,0.00006296514,0.00009425246,0.000017192924,0.000036109283,0.00014264171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031467996,0.0001719461,0.00019732477,0.0004923435,0.0004303019,0.00046239945,0.00015402726,0.00018610134,0.0011739295],"category_scores_gemma":[0.00041116707,0.00010757952,0.0002794842,0.00050963426,0.00029367983,0.00021698076,0.00028219033,0.00017835376,0.000109355395],"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":[0.00010401806,0.00003329122,0.9976597,0.0000057770085,0.000042931923,0.000049190676,0.00016168012,0.000037282476,0.0010542485,0.000006995083,0.000026256426,0.0008187211],"study_design_scores_gemma":[8.3068124e-7,0.000026587948,0.99974436,7.0487914e-7,0.0000032874643,0.000011176349,0.00012645763,0.00006124172,0.000009581306,0.0000024236265,0.000012821853,4.2914763e-7],"about_ca_topic_score_codex":0.020409264,"about_ca_topic_score_gemma":0.048226066,"teacher_disagreement_score":0.020409264,"about_ca_system_score_codex":0.0003150492,"about_ca_system_score_gemma":0.00019445886,"threshold_uncertainty_score":0.04058093},"labels":[],"label_agreement":null}]}