{"meta":{"query_hash":"b09c3898e1b7","filters":{"venue":"Global Ecology and Biogeography"},"cohort_total":410,"direct_labels_cover":0,"predictions_cover":410,"exported":410,"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/b09c3898e1b7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Global+Ecology+and+Biogeography"},"results":[{"id":"W1482764025","doi":"10.1111/geb.12304","title":"The relative importance of climate, stand variables and liana abundance for carbon storage in tropical forests","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest ecology and management","field":"Environmental Science","cited_by":46,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Inter-American Institute for Global Change Research","keywords":"Liana; Basal area; Abundance (ecology); Climate change; Tropical climate; Environmental science; Tropical and subtropical dry broadleaf forests; Tropics; Ecology; Tropical forest; Range (aeronautics); Forestry; Agroforestry; Geography; Biology","score_opus":0.005848817926644971,"score_gpt":0.21841740464179682,"score_spread":0.21256858671515186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482764025","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":[0.9946245,0.0008957894,0.000071665316,0.000380631,0.00012150468,0.00034466037,0.000037342306,0.000007969541,0.0035159711],"genre_scores_gemma":[0.9989167,0.00043181158,0.00049892,0.000084433654,0.0000065466743,0.000040766743,0.0000029651803,0.000002230345,0.000015625865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992417,0.0000511136,0.00017131632,0.00021724871,0.00005743873,0.0002611976],"domain_scores_gemma":[0.99964184,0.00010438869,0.00008495584,0.00009827706,0.000008605104,0.0000619496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034050937,0.000088457076,0.00014262785,0.0000223363,0.00011320739,0.0000073840274,0.00009313066,0.000108879125,0.0000064663454],"category_scores_gemma":[0.00005917855,0.00006374164,0.000026520758,0.00019605215,0.000786137,0.0000720161,0.00013334405,0.000057277826,8.0638563e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017383265,0.000039099945,0.95056266,0.000008944394,0.000019759753,0.0000047088506,0.00003859305,0.000029288076,0.0000013688276,0.048518557,0.00037997676,0.0002232198],"study_design_scores_gemma":[0.00065269205,0.0003608781,0.9094741,0.000004156286,0.000016805816,0.0000031121476,0.00007999634,0.00021795531,0.0000023237117,0.08640253,0.0027213264,0.00006415704],"about_ca_topic_score_codex":0.00013833656,"about_ca_topic_score_gemma":0.020554997,"teacher_disagreement_score":0.041088585,"about_ca_system_score_codex":0.000042329437,"about_ca_system_score_gemma":0.00001054865,"threshold_uncertainty_score":0.9973173},"labels":[],"label_agreement":null},{"id":"W1483241051","doi":"10.1111/geb.12356","title":"The quality of organic matter shapes the functional biogeography of bacterioplankton across boreal freshwater ecosystems","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Bacterioplankton; Ecology; Ecosystem; Boreal; Biogeography; Trait; Biology; Beta diversity; Taxonomic rank; Biodiversity; Environmental science; Phytoplankton; Nutrient; Taxon","score_opus":0.014688604866885785,"score_gpt":0.24416277740879166,"score_spread":0.22947417254190589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483241051","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":[0.99684584,0.00018509543,0.0000054653297,0.00079766795,0.00033202927,0.00018190517,0.00048440692,0.000011312811,0.0011562929],"genre_scores_gemma":[0.9992299,0.00006390574,0.00002690683,0.00052220287,0.00002545965,0.000011591236,0.000103476414,0.0000036474717,0.000012886419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834865,0.0005862043,0.00039695235,0.00021463647,0.00011274885,0.0003408098],"domain_scores_gemma":[0.99909836,0.0002487198,0.00025009236,0.00028718982,0.000042099568,0.00007353954],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010775522,0.00015316356,0.0002694682,0.00002390745,0.0004500003,0.0000150141595,0.0004274037,0.0002174903,0.0012602642],"category_scores_gemma":[0.000026613588,0.00008695134,0.00014648311,0.0003812027,0.0022589182,0.000066561865,0.0004450016,0.00016340904,0.00006908076],"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":[0.0002501311,0.00008385301,0.9824165,0.0000090915555,0.00010142446,4.332653e-7,0.0001414171,0.0000034435318,0.0029365225,0.0002284256,0.013708122,0.00012064159],"study_design_scores_gemma":[0.00038066876,0.00021719572,0.97418845,0.0000026467098,0.000021061882,0.000018715697,0.0003077436,0.0000036088047,0.00019710364,0.0033519235,0.021213006,0.00009790278],"about_ca_topic_score_codex":0.0037655127,"about_ca_topic_score_gemma":0.12510148,"teacher_disagreement_score":0.12133597,"about_ca_system_score_codex":0.000018523113,"about_ca_system_score_gemma":0.000016921571,"threshold_uncertainty_score":0.99965274},"labels":[],"label_agreement":null},{"id":"W1484080307","doi":"10.1111/j.1466-8238.2010.00548.x","title":"Broad‐scale environmental response and niche conservatism in lacustrine diatom communities","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lake Simcoe Region Conservation Authority; Queen's University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Niche; Ecological niche; Ecology; Geography; Conservatism; Macroecology; Diatom; Propagule; Scale (ratio); Spatial ecology; Community; Physical geography; Biology; Biogeography; Habitat; Cartography; Demography; Population","score_opus":0.006536863592201062,"score_gpt":0.21033008375326445,"score_spread":0.20379322016106338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484080307","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":[0.9962173,0.00011841921,2.6205998e-7,0.0011000306,0.00009757549,0.0001109681,0.00047618718,0.000020567937,0.0018586795],"genre_scores_gemma":[0.99847525,0.0003929925,0.00004705458,0.00097344484,0.000005339685,0.000014455108,0.00006589976,0.000002617926,0.000022962275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992937,0.00010166297,0.0001283698,0.00016639913,0.00007084361,0.00023904715],"domain_scores_gemma":[0.999653,0.00008011166,0.000036548332,0.00013314972,0.0000015962672,0.00009563437],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021446869,0.00011471385,0.00012584233,0.00003443138,0.00015563473,0.000020456238,0.00010705374,0.00015478152,0.007834055],"category_scores_gemma":[0.000010734687,0.00010698633,0.000030732594,0.00017819456,0.001217187,0.0000738176,0.00025225553,0.00016901961,0.000074651594],"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":[0.000117787764,0.000092927985,0.9957457,0.0000015214697,0.0000054576703,0.0000067672427,0.00007759271,9.299369e-8,0.0020253567,0.00020540379,0.0011077273,0.00061363366],"study_design_scores_gemma":[0.0005768547,0.0000889636,0.97105515,0.0000013402415,0.0000072422517,0.000040973086,0.0014178694,0.0000076084375,0.000094140116,0.00027765476,0.026316445,0.00011573509],"about_ca_topic_score_codex":0.0009114775,"about_ca_topic_score_gemma":0.019273357,"teacher_disagreement_score":0.025208717,"about_ca_system_score_codex":0.000044528144,"about_ca_system_score_gemma":0.0000033824294,"threshold_uncertainty_score":0.99862236},"labels":[],"label_agreement":null},{"id":"W1484146748","doi":"10.1111/j.1466-8238.2010.00539.x","title":"Signatures of speciation? Distribution and diversity of <i>Hypoplectrus</i> (Teleostei: Serranidae) colour morphotypes","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Allopatric speciation; Biology; Null model; Sympatric speciation; Ecology; Sympatry; Population; Abundance (ecology); Biological dispersal; Genus; Geography; Demography","score_opus":0.004123412773053196,"score_gpt":0.1962463711499991,"score_spread":0.1921229583769459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484146748","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":[0.9982099,0.000071862145,0.0000031289605,0.00021144493,0.0002555249,0.00016308996,0.0005134057,0.000013646699,0.00055798277],"genre_scores_gemma":[0.9995186,0.00009701926,0.0001699668,0.000136838,0.000015504222,0.0000031207658,0.00005142311,0.0000016327417,0.0000059309937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992509,0.00005207746,0.00017186855,0.00024669795,0.000076229044,0.00020221471],"domain_scores_gemma":[0.999617,0.000053775053,0.00014065695,0.000100977646,0.000021457101,0.00006617193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018859535,0.00011117486,0.0002100524,0.000028943285,0.00019466884,0.0000040388927,0.00013180883,0.0003264319,0.0003379374],"category_scores_gemma":[0.000034688266,0.00009766593,0.000060348066,0.00025755158,0.0011498829,0.000064491614,0.00029729126,0.00013312738,0.0000048552442],"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":[0.00006642575,0.00013302245,0.96909285,0.0000063000393,0.000021804124,0.000002290134,0.00001612239,6.6186726e-7,0.02860759,0.00042108746,0.0010948201,0.0005370117],"study_design_scores_gemma":[0.00036613175,0.00037257926,0.99477017,0.0000012513939,0.00006108592,0.000012483352,0.000034197397,0.000004257717,0.0020122682,0.0014958024,0.0007736273,0.00009615099],"about_ca_topic_score_codex":0.00051189144,"about_ca_topic_score_gemma":0.0074072983,"teacher_disagreement_score":0.026595322,"about_ca_system_score_codex":0.00001349039,"about_ca_system_score_gemma":0.000007324286,"threshold_uncertainty_score":0.42367914},"labels":[],"label_agreement":null},{"id":"W1497165213","doi":"10.1111/geb.12233","title":"Are ecologists conducting research at the optimal scale?","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":623,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scale (ratio); Range (aeronautics); Biological dispersal; Spatial ecology; Ecology; Temporal scales; Statistics; Geography; Biology; Mathematics; Cartography; Demography; Population","score_opus":0.030963676968569366,"score_gpt":0.2980187307402634,"score_spread":0.26705505377169403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497165213","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":[0.97977763,0.00014109252,0.0000114864215,0.0034032091,0.00022375117,0.0001596445,0.000015420575,0.000028716151,0.016239041],"genre_scores_gemma":[0.9982843,0.00006176198,0.00022683278,0.0011357324,0.000029676881,0.000035254307,0.000004788014,0.0000027588615,0.00021894136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985764,0.00037737555,0.00014204154,0.00034863918,0.00012063986,0.0004348738],"domain_scores_gemma":[0.9992728,0.0003790395,0.00009862199,0.00015879254,0.00002443341,0.00006631303],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0012534871,0.00010836443,0.00014271378,0.00003304557,0.0014943691,0.00001800701,0.00019673843,0.00016874046,0.0005338932],"category_scores_gemma":[0.00018946208,0.000073730465,0.000055724613,0.0003988698,0.002877682,0.000057968587,0.00060714554,0.00019372802,0.00040220164],"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":[0.000018194816,0.00003615898,0.99356526,0.0000026183402,0.000023467017,0.000003096873,0.00004669259,0.00010318814,0.000032114247,0.00076203735,0.004828864,0.00057831814],"study_design_scores_gemma":[0.00020366916,0.00012854337,0.9894194,0.0000016521192,0.00001313281,0.000024442917,0.00030451998,0.00020803133,0.000018446455,0.0034301693,0.0061582807,0.00008972386],"about_ca_topic_score_codex":0.00009499715,"about_ca_topic_score_gemma":0.021034857,"teacher_disagreement_score":0.02093986,"about_ca_system_score_codex":0.000067658984,"about_ca_system_score_gemma":0.00000383588,"threshold_uncertainty_score":0.9998359},"labels":[],"label_agreement":null},{"id":"W1497258602","doi":"10.1111/j.1466-8238.2012.00759.x","title":"Exploring the phylogenetic history of mammal species richness","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Center For Environmental Assessment","keywords":"Phylogenetic tree; Species richness; Mammal; Ecology; Biology; Phylogenetics; Macroecology; Phylogenetic diversity; Taxon; Extinction (optical mineralogy); Clade; Evolutionary biology; Paleontology","score_opus":0.0481534071015192,"score_gpt":0.20447239946437637,"score_spread":0.15631899236285718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497258602","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":[0.9493408,0.022873446,0.0000028847683,0.00023841122,0.0014893996,0.00006152802,0.00004883442,0.000014935002,0.025929743],"genre_scores_gemma":[0.9983769,0.0011454776,0.00007373598,0.00024714117,0.000086817374,0.000002448162,0.000007341964,5.200346e-7,0.000059618113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993584,0.000085827116,0.0001204062,0.00010532826,0.00006297287,0.00026705046],"domain_scores_gemma":[0.99968934,0.00009332879,0.00005457076,0.00008351804,0.00002130955,0.00005790565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018603528,0.00008585143,0.00013355084,0.00004767453,0.00012788565,0.0000024766398,0.000102101905,0.00004912019,0.00024268155],"category_scores_gemma":[0.00001536358,0.000055087505,0.000058350033,0.00016928742,0.00080759247,0.00008105169,0.0000157259,0.00005728429,0.000021920312],"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":[0.000019271143,0.000014009819,0.99580884,0.0000065360264,0.000045568668,8.193254e-7,0.00015447997,0.0000021911353,0.000004151656,0.00092870987,0.0008959771,0.002119466],"study_design_scores_gemma":[0.00009387853,0.00006657481,0.9617399,0.0000015417876,0.000029829072,0.000016127578,0.00032344522,0.000004235141,0.0000033093993,0.00016386036,0.03749237,0.000064909465],"about_ca_topic_score_codex":0.00028246568,"about_ca_topic_score_gemma":0.0080194175,"teacher_disagreement_score":0.049036082,"about_ca_system_score_codex":0.000004496408,"about_ca_system_score_gemma":0.000014457211,"threshold_uncertainty_score":0.44750232},"labels":[],"label_agreement":null},{"id":"W1501432441","doi":"10.1111/j.1466-882x.2004.00083.x","title":"An American legend","year":2004,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Bat Biology and Ecology Studies","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":"","keywords":"Context (archaeology); Bison bison; White (mutation); Ecology; Geography; Wildlife; Biology; Archaeology","score_opus":0.006995128182484035,"score_gpt":0.2149880806002327,"score_spread":0.20799295241774865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501432441","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":[0.9944019,0.0003567456,9.4435063e-7,0.0036213675,0.00018188573,0.00009173905,0.000106644125,0.00009215008,0.0011466681],"genre_scores_gemma":[0.9970898,0.00025480823,0.0001257496,0.002361732,0.00009849528,0.000014345165,0.000051665713,2.8619925e-7,0.0000031212505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990775,0.00006139937,0.00012177417,0.0003394967,0.00003654522,0.00036330806],"domain_scores_gemma":[0.9997205,0.000039135066,0.00005600748,0.000044072607,0.00002784838,0.00011244387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011816248,0.00013819082,0.0002003946,0.0000124717,0.00044463127,0.0000141318105,0.0001533021,0.0001602951,0.00006356029],"category_scores_gemma":[0.000006939921,0.000054637996,0.00007064656,0.00040325354,0.0009594639,0.00007203803,0.0000591395,0.00008488023,0.000033066863],"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":[0.000041185063,0.00013581206,0.9757419,7.4056027e-7,0.000048803762,0.000009731854,0.000012352072,8.664123e-7,0.0016226512,0.0044955546,0.00010441247,0.01778594],"study_design_scores_gemma":[0.00017117511,0.0013442199,0.98751694,0.00000102495,0.000018465415,0.000036639427,0.0002889513,3.1976646e-7,0.00011218248,0.0057601477,0.004608447,0.00014149306],"about_ca_topic_score_codex":0.00069639774,"about_ca_topic_score_gemma":0.019998102,"teacher_disagreement_score":0.019301705,"about_ca_system_score_codex":0.000011617366,"about_ca_system_score_gemma":0.000005336064,"threshold_uncertainty_score":0.9978844},"labels":[],"label_agreement":null},{"id":"W1521005924","doi":"10.1111/j.1466-8238.2010.00520.x","title":"The role of non‐native plants and vertebrates in defining patterns of compositional dissimilarity within and across continents","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":62,"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":"European Commission","keywords":"Introduced species; Homogeneous; Vertebrate; Native plant; Ecology; Biology; Geography; Invasive species; Taxonomic rank; Taxon","score_opus":0.002323798914647257,"score_gpt":0.22188787740838126,"score_spread":0.219564078493734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521005924","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":[0.9991111,0.00012911015,0.000002233652,0.00012286873,0.000054892153,0.00006935171,0.00024383616,0.000002059124,0.00026452218],"genre_scores_gemma":[0.99971676,0.00012095505,0.00009126687,0.000053148713,0.0000014067043,0.0000051184843,0.000009644719,8.188802e-7,8.850833e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995656,0.000030100144,0.00013111474,0.00012136739,0.000039077044,0.00011271544],"domain_scores_gemma":[0.9997268,0.00012455956,0.000082478335,0.000034663273,0.000007841599,0.000023682465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823241,0.000060146973,0.000113429975,0.00001307265,0.00018949123,0.0000050652616,0.000048535712,0.00007634169,0.000007393759],"category_scores_gemma":[0.000016358432,0.000043839125,0.0000137298775,0.00006058076,0.0009107651,0.000043261414,0.00012728441,0.00008356001,3.4303972e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039246523,0.00004239228,0.9972015,0.0000034887241,0.000025716845,8.1032937e-7,0.00046465802,0.0000028273707,0.00065945205,0.001122004,0.0000027215488,0.00043517497],"study_design_scores_gemma":[0.00035660772,0.00007475204,0.99046606,0.000004791043,0.000004452748,0.00000637797,0.0007316079,0.0006058026,0.00019222725,0.0075071044,0.000007505923,0.0000426934],"about_ca_topic_score_codex":0.0002718303,"about_ca_topic_score_gemma":0.031364273,"teacher_disagreement_score":0.031092443,"about_ca_system_score_codex":0.0000028634622,"about_ca_system_score_gemma":0.0000025628742,"threshold_uncertainty_score":0.9863108},"labels":[],"label_agreement":null},{"id":"W1522795020","doi":"10.1111/geb.12248","title":"Plant dispersal systems in <scp>N</scp>eotropical forests: availability of dispersal agents or availability of resources for constructing zoochorous fruits?","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":50,"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":"Ecopetrol; Universidad de los Andes; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Conservation International; McGill University; Primate Conservation","keywords":"Biological dispersal; Ecology; Frugivore; Species richness; Edaphic; Abiotic component; Seed dispersal; Biology; Habitat; Demography","score_opus":0.008859677842170203,"score_gpt":0.22907160979611235,"score_spread":0.22021193195394215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522795020","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":[0.99756956,0.00015593966,0.00012025621,0.0000562907,0.00026718297,0.00049631414,0.00036224764,0.000017991564,0.0009541952],"genre_scores_gemma":[0.99931484,0.00003907344,0.0005033767,0.00005034154,0.000018477289,0.000043489334,0.000016345324,0.00000402982,0.000010039474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982958,0.00022128003,0.0005468703,0.00044369014,0.00012514142,0.00036725003],"domain_scores_gemma":[0.99832124,0.0011239572,0.00026330948,0.000181519,0.00002960079,0.00008039406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006186265,0.00017564079,0.0004687944,0.000060619175,0.00014879166,0.000008501415,0.00018858493,0.00024306493,0.00003908567],"category_scores_gemma":[0.00094576133,0.0001373425,0.000111478344,0.0002900561,0.0019840533,0.00007746008,0.00018704582,0.000107887434,0.0000042915976],"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":[0.00013066393,0.00019681624,0.9965213,0.0001103722,0.00006444597,0.0000016405779,0.0002908557,0.00009562497,0.000046950492,0.002141997,0.00016646703,0.00023289616],"study_design_scores_gemma":[0.0008517228,0.0005383673,0.9923661,0.000017494773,0.000045548684,0.000011586388,0.0012300735,0.003192196,0.000014664938,0.0011597469,0.00049910735,0.0000733923],"about_ca_topic_score_codex":0.0008091073,"about_ca_topic_score_gemma":0.03267812,"teacher_disagreement_score":0.031869013,"about_ca_system_score_codex":0.00005691734,"about_ca_system_score_gemma":0.0000126434425,"threshold_uncertainty_score":0.98497295},"labels":[],"label_agreement":null},{"id":"W1523658079","doi":"10.1111/geb.12156","title":"<scp>P</scp>alaeocene–<scp>E</scp>ocene evolution of beta diversity among ungulate mammals in <scp>N</scp>orth <scp>A</scp>merica","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ungulate; Beta diversity; Ecology; Geographical distance; Mammal; Taxon; Range (aeronautics); Biology; Habitat; Geography; Demography; Population","score_opus":0.0046987572840647635,"score_gpt":0.18403489072543347,"score_spread":0.1793361334413687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523658079","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":[0.9816072,0.00072949845,0.00015803601,0.00012828664,0.00080775056,0.00074712845,0.00023515077,0.00015861854,0.015428336],"genre_scores_gemma":[0.9970737,0.00041355437,0.00046133867,0.0012358568,0.000118760574,0.000054546163,0.00015930002,0.000025901629,0.00045700272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99503195,0.0006614794,0.00089841784,0.0013666671,0.00053980685,0.0015016466],"domain_scores_gemma":[0.99634784,0.001611592,0.0008217911,0.0006439234,0.00010540335,0.00046945817],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012109831,0.0006969045,0.00094392,0.00045210705,0.00092110015,0.00005357885,0.00090311916,0.0011732654,0.000047954643],"category_scores_gemma":[0.0013563766,0.0007186619,0.00040645173,0.0023126355,0.0022167356,0.0006705192,0.0013294341,0.0005561841,0.00020574618],"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":[0.000010284391,0.00055566686,0.97874826,0.000041095725,0.00018335454,0.00002889254,0.0003650675,0.00025812568,0.00014657342,0.0008994767,0.017974481,0.0007887334],"study_design_scores_gemma":[0.0013437018,0.0006089178,0.97795117,0.0000364857,0.00023314876,0.00003326961,0.0010367233,0.0003628323,0.00022632297,0.005070481,0.012997768,0.00009916152],"about_ca_topic_score_codex":0.002643199,"about_ca_topic_score_gemma":0.006885363,"teacher_disagreement_score":0.015466545,"about_ca_system_score_codex":0.00029360465,"about_ca_system_score_gemma":0.00010320191,"threshold_uncertainty_score":0.99952644},"labels":[],"label_agreement":null},{"id":"W1524667930","doi":"10.1111/geb.12018","title":"Pelagic propagule duration and developmental mode: reassessment of a fading link","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":43,"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":"Biology; Pelagic zone; Ecology; Propagule; Biological dispersal; Marine larval ecology; Range (aeronautics); Taxon; Biogeography; Larva; Population","score_opus":0.012809193186954003,"score_gpt":0.24762984133322952,"score_spread":0.2348206481462755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524667930","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":[0.9927318,0.0007035498,0.00000475945,0.00028596382,0.00014501163,0.0001478297,0.000045272853,0.000012534189,0.0059232474],"genre_scores_gemma":[0.9988027,0.00025803281,0.00068564765,0.000106325206,0.000040527182,0.0000029132443,0.000088474226,6.8170976e-7,0.000014673234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920124,0.000093326606,0.0001735246,0.00016157803,0.00005654986,0.0003137796],"domain_scores_gemma":[0.999691,0.00007047887,0.000057477573,0.000044451117,0.000023554941,0.00011304378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040498553,0.00008879108,0.00014298611,0.000078905614,0.00018359632,0.0000083813675,0.00006286322,0.00016635213,0.0003820085],"category_scores_gemma":[0.000031227282,0.00006892461,0.000025574933,0.00018338127,0.00032784653,0.00012526283,0.000037699487,0.000085073196,0.000017347984],"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":[0.0000598197,0.000023818966,0.9752915,0.000013759496,0.00004122254,0.0000019764225,0.000036256235,4.8267907e-7,0.000017950388,0.0005437609,0.00006984815,0.023899628],"study_design_scores_gemma":[0.00021340734,0.00021131548,0.9978303,0.0000027390695,0.000014534962,0.00009327197,0.00013559457,0.000115115574,0.000027197848,0.00072804757,0.00054916966,0.00007933051],"about_ca_topic_score_codex":0.00048541243,"about_ca_topic_score_gemma":0.002366257,"teacher_disagreement_score":0.023820298,"about_ca_system_score_codex":0.000004915031,"about_ca_system_score_gemma":0.000032752836,"threshold_uncertainty_score":0.4182725},"labels":[],"label_agreement":null},{"id":"W1528328767","doi":"10.1111/j.1466-8238.2012.00778.x","title":"What controls tropical forest architecture? Testing environmental, structural and floristic drivers","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest ecology and management","field":"Environmental Science","cited_by":237,"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":"Natural Environment Research Council; Sight Research UK; Royal Society; Gordon and Betty Moore Foundation","keywords":"Floristics; Allometry; Basal area; Ecology; Tree allometry; Dipterocarpaceae; Geography; Biogeography; Biology; Forestry; Physical geography; Biomass (ecology); Species richness","score_opus":0.004567416151896885,"score_gpt":0.19292703088964122,"score_spread":0.18835961473774435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528328767","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":[0.9975967,0.0004970823,0.00008418786,0.0002886477,0.0005665004,0.00025175847,0.000020018817,0.00003069774,0.00066442345],"genre_scores_gemma":[0.998089,0.0001354811,0.00087804877,0.0007943112,0.0000547088,0.00001872273,0.000012333548,0.000004006382,0.0000133779395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998921,0.00006423191,0.00014210919,0.0002882614,0.00008778174,0.0004966247],"domain_scores_gemma":[0.99955606,0.00008849481,0.000057623103,0.00010223245,0.0000014394296,0.00019411762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009831832,0.00017209258,0.00017066594,0.00003489106,0.00030299145,0.000033841992,0.00010389427,0.00014003886,0.0002813471],"category_scores_gemma":[0.000025860356,0.00014304696,0.000045997935,0.00012679829,0.0011201515,0.00028141608,0.0002820678,0.00011334548,0.0000531879],"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":[0.000031737538,0.00003787292,0.9937953,0.000004155417,0.00004061525,0.000008045414,0.00004239984,0.000037559643,0.00004999912,0.0025651457,0.00019872669,0.0031884557],"study_design_scores_gemma":[0.0005346271,0.00021651588,0.98465,0.0000028032723,0.00006328587,0.000065033775,0.00012423095,0.0000918218,0.0000038953035,0.011290465,0.0028004393,0.00015688152],"about_ca_topic_score_codex":0.000056729856,"about_ca_topic_score_gemma":0.0005079815,"teacher_disagreement_score":0.009145286,"about_ca_system_score_codex":0.000043289878,"about_ca_system_score_gemma":0.0000019999336,"threshold_uncertainty_score":0.58332855},"labels":[],"label_agreement":null},{"id":"W1530451520","doi":"10.1111/j.1466-8238.2011.00686.x","title":"Refugia: identifying and understanding safe havens for biodiversity under climate change","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Australian Research Council; Curtin University of Technology","keywords":"Climate change; Biodiversity; Biota; Habitat; Ecology; Identification (biology); Environmental change; Environmental resource management; Geography; Environmental science; Biology","score_opus":0.109236661157622,"score_gpt":0.26030950666636515,"score_spread":0.15107284550874317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530451520","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":[0.988506,0.00019420563,0.00013635881,0.0005065117,0.00024011075,0.00026879768,0.0008392771,0.000043768985,0.009264964],"genre_scores_gemma":[0.99820614,0.0007257882,0.000116821284,0.0008745657,0.000009911698,0.000014449397,0.00004705114,0.000002003919,0.0000032734388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991959,0.00002725347,0.00009694906,0.00028114344,0.000060880477,0.00033791913],"domain_scores_gemma":[0.9997375,0.000018795392,0.000055039505,0.0000773012,0.0000061728088,0.00010520215],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017345353,0.000112016074,0.00012008574,0.000035912683,0.00052747707,0.00002318679,0.000076168755,0.00012807122,0.0025998142],"category_scores_gemma":[0.0000050862623,0.00010541628,0.00006206452,0.00019222245,0.0004904307,0.00014079886,0.00021237615,0.0000501368,0.000066985136],"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":[0.000055061744,0.000043450094,0.97895545,0.000012735596,0.00002103243,0.0000038004382,0.00013123169,1.3977793e-8,0.000033804747,0.019503886,0.0009949303,0.00024461237],"study_design_scores_gemma":[0.0004532156,0.000119130345,0.98762363,0.0000037434918,0.00004666309,0.000013967878,0.0034199145,0.000002797689,0.0000240189,0.0062735393,0.0018859126,0.00013346711],"about_ca_topic_score_codex":0.00024495283,"about_ca_topic_score_gemma":0.0020872352,"teacher_disagreement_score":0.013230346,"about_ca_system_score_codex":0.00014197787,"about_ca_system_score_gemma":0.0000013989184,"threshold_uncertainty_score":0.99831194},"labels":[],"label_agreement":null},{"id":"W1530501861","doi":"10.1111/j.1466-8238.2009.00482.x","title":"Dynamic macroecology on ecological time‐scales","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macroecology; Ecology; Temporal scales; Ecosystem; Environmental change; Range (aeronautics); Climate change; Biodiversity; Biology","score_opus":0.0023350856800890413,"score_gpt":0.21190920514787345,"score_spread":0.20957411946778443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530501861","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":[0.9595109,0.000048538637,0.000009176184,0.003116111,0.00015547864,0.00020286562,0.00002512325,0.000084896084,0.036846913],"genre_scores_gemma":[0.9905787,0.00008845394,0.00077027094,0.008356279,0.00001561341,0.000015465434,0.000022641316,0.0000036888334,0.00014889344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982762,0.0001721503,0.0002559503,0.00058896333,0.00011344273,0.0005932928],"domain_scores_gemma":[0.99941844,0.000107690685,0.00009167454,0.00023465439,0.000008682555,0.00013883824],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025410432,0.00022470838,0.00033768115,0.00008680915,0.0002709387,0.000016684338,0.00030854435,0.0003888494,0.0040526204],"category_scores_gemma":[0.000049978164,0.00018693449,0.00015138359,0.00050802453,0.00085617445,0.00006790973,0.00017064053,0.0001715862,0.0023697794],"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":[0.00008357989,0.0005514351,0.9764553,9.724597e-7,0.000054593358,0.00009140847,0.000008284883,0.000093450435,0.0003832876,0.0018732576,0.006584765,0.013819695],"study_design_scores_gemma":[0.00036754878,0.001486,0.97369015,8.6008407e-7,0.00003913877,0.00006561712,0.000009609763,0.00031369182,0.000015096274,0.01780603,0.0060053156,0.00020094853],"about_ca_topic_score_codex":0.000016301354,"about_ca_topic_score_gemma":0.0011379978,"teacher_disagreement_score":0.036698017,"about_ca_system_score_codex":0.00011807257,"about_ca_system_score_gemma":0.000006392145,"threshold_uncertainty_score":0.998407},"labels":[],"label_agreement":null},{"id":"W1541455001","doi":"10.1111/geb.12106","title":"Simulating long‐distance seed dispersal in a dynamic vegetation model","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":45,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Seed dispersal; Vegetation (pathology); Ecology; Temperate climate; Climate change; Environmental science; Geography; Biology","score_opus":0.0063694432583523,"score_gpt":0.2244789888812372,"score_spread":0.21810954562288493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541455001","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":[0.99319905,0.000095430274,0.00026801848,0.00031394133,0.000050909304,0.00016292378,0.000035886416,0.000026902197,0.0058469195],"genre_scores_gemma":[0.9993923,0.00004006172,0.000099301695,0.00038583713,0.0000025757067,0.000021954118,0.000042359425,0.0000022044667,0.000013436912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931717,0.00002205244,0.00012556928,0.000218055,0.000072950104,0.00024420858],"domain_scores_gemma":[0.99980664,0.000014367341,0.000040018345,0.000071786184,0.0000064952656,0.00006071052],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000060860566,0.000090866546,0.00009371317,0.000024404866,0.00008535596,0.000022352246,0.000072466224,0.0000886239,0.0016066286],"category_scores_gemma":[0.000010822744,0.00008398797,0.0000381511,0.00032733765,0.0002201358,0.00014365066,0.00006739952,0.000053162563,0.000201492],"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":[0.0000083380755,0.00004871877,0.997297,0.000004304649,0.000003889426,0.0000020109906,0.000036808455,0.0007310533,0.00018336398,0.00088427134,0.00006432055,0.0007359104],"study_design_scores_gemma":[0.00029450963,0.000027385284,0.91451335,0.000002952333,0.000004381576,0.0000023699965,0.00017472426,0.08347893,0.000003047346,0.0013691039,0.000039187744,0.00009003973],"about_ca_topic_score_codex":0.00055797806,"about_ca_topic_score_gemma":0.014362771,"teacher_disagreement_score":0.08278364,"about_ca_system_score_codex":0.00014285628,"about_ca_system_score_gemma":0.0000027618769,"threshold_uncertainty_score":0.999306},"labels":[],"label_agreement":null},{"id":"W1547346277","doi":"10.1111/geb.12307","title":"Estimating global natural wetland methane emissions using process modelling: spatio‐temporal patterns and contributions to atmospheric methane fluctuations","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Program for New Century Excellent Talents in University; Northwest A and F University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Wetland; Environmental science; Atmospheric methane; Methane; Temperate climate; Methanogenesis; Greenhouse gas; Atmospheric sciences; Methane emissions; Climatology; Ecology","score_opus":0.010751830515788947,"score_gpt":0.26454547977270554,"score_spread":0.2537936492569166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547346277","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":[0.89047205,0.00017163403,0.1079974,0.00042624652,0.00022061019,0.00031046342,0.00019195549,0.000054247917,0.00015539532],"genre_scores_gemma":[0.8911794,0.000017242692,0.108327486,0.0003397072,0.000033841516,0.00001920669,0.00006560132,0.000006865063,0.000010682578],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985111,0.00007653555,0.00027130023,0.00047577097,0.00021571878,0.00044956928],"domain_scores_gemma":[0.99920064,0.00002790912,0.00011391864,0.00014719686,0.000025271474,0.00048508562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022357353,0.00024998665,0.00026686586,0.0000062396307,0.00028526603,0.000034739132,0.00014756157,0.00016953541,0.00006014165],"category_scores_gemma":[0.000058513542,0.00022300973,0.00006135561,0.0006187448,0.0003664693,0.00020268017,0.00025833142,0.00012559621,0.000010217915],"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":[0.0000416878,0.00006129999,0.8253508,0.000005054935,0.000035257934,0.0000069505227,0.000080927035,0.17292605,0.000026454029,0.00006321233,0.00003693959,0.001365313],"study_design_scores_gemma":[0.0008439207,0.00021054318,0.42286777,0.00001603096,0.00013946621,0.00012690523,0.00040824534,0.568786,0.000012348352,0.005921781,0.00028129542,0.00038567782],"about_ca_topic_score_codex":0.002559444,"about_ca_topic_score_gemma":0.0009189037,"teacher_disagreement_score":0.40248308,"about_ca_system_score_codex":0.00023815755,"about_ca_system_score_gemma":0.000038895785,"threshold_uncertainty_score":0.9094073},"labels":[],"label_agreement":null},{"id":"W1553592219","doi":"10.1111/geb.12202","title":"A systematic review and conceptual framework for the mechanistic pathways of nurse plants","year":2014,"lang":"en","type":"review","venue":"Global Ecology and Biogeography","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":226,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; York University; Natural Sciences and Engineering Research Council of Canada; U.S. Department of the Interior","keywords":"Ecology; Categorization; Landscape ecology; Mechanism (biology); Conceptual framework; Psychology; Biology; Sociology; Computer science; Habitat; Epistemology","score_opus":0.01824139625183871,"score_gpt":0.26088513837508326,"score_spread":0.24264374212324455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553592219","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009394958,0.99280286,0.000016708105,0.00008045564,0.0001518505,0.0018537218,0.004945938,0.00001644676,0.000038052327],"genre_scores_gemma":[0.0006464499,0.99847454,0.000054639106,0.00035433544,0.000051220202,0.00023078966,0.000182268,8.185456e-7,0.00000495113],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9986262,0.00023005049,0.0004874365,0.00032054607,0.00008119181,0.00025457377],"domain_scores_gemma":[0.9974089,0.0019193445,0.00048168114,0.00008435672,0.00003210445,0.000073580246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038839717,0.00026581468,0.0017879652,0.000011197359,0.00021975893,0.000018710973,0.00029524617,0.000393525,0.000013852231],"category_scores_gemma":[0.00015461618,0.000074935095,0.00033593207,0.00022970792,0.0003929131,0.000015576024,0.00004383519,0.000117568576,0.0000037101536],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025295145,0.0000889493,0.00023706655,0.8219727,0.0009777846,0.000011506259,0.00001261265,8.132993e-9,0.0000025028044,0.09763249,0.0010870553,0.07795202],"study_design_scores_gemma":[0.0002859858,0.0013409703,0.0027229176,0.54307234,0.016995994,0.0006403122,0.00027008948,0.000002626442,6.154297e-7,0.018967114,0.41456488,0.0011361974],"about_ca_topic_score_codex":0.000012617007,"about_ca_topic_score_gemma":0.000108584165,"teacher_disagreement_score":0.4134778,"about_ca_system_score_codex":0.0000053638787,"about_ca_system_score_gemma":0.000011807017,"threshold_uncertainty_score":0.30557644},"labels":[],"label_agreement":null},{"id":"W1560555922","doi":"10.1111/j.1466-8238.2011.00726.x","title":"Extensive gaps and biases in our knowledge of a well‐known fauna: implications for integrating biological traits into macroecology","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":111,"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":"Natural Environment Research Council; Sight Research UK","keywords":"Demersal fish; Fauna; Ecology; Macroecology; Demersal zone; Biology; Taxonomic rank; Biological data; Trait; Invertebrate; Biodiversity; Geography; Taxon; Pelagic zone; Fishing","score_opus":0.022245431663296816,"score_gpt":0.2686353942714902,"score_spread":0.24638996260819337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560555922","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":[0.9926982,0.00036379183,0.000045845067,0.0009145827,0.000090382586,0.00044923104,0.00005083911,0.00002016357,0.0053669447],"genre_scores_gemma":[0.9967189,0.0005312729,0.002000701,0.000562889,0.000008886361,0.00015498447,0.000009525983,0.0000026695313,0.000010200426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989781,0.000076301556,0.00024280538,0.00036943282,0.000016287364,0.00031711606],"domain_scores_gemma":[0.99960405,0.00014487498,0.000098250326,0.00007571519,0.000021743102,0.000055369124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022804156,0.00014404833,0.00027433294,0.00009075856,0.00017442422,0.0000034084528,0.00012787408,0.00018939523,0.00006935706],"category_scores_gemma":[0.0001492809,0.000115997886,0.000059247202,0.00032014106,0.0007642896,0.00006019644,0.00029989192,0.00007169662,0.000008890663],"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":[0.000064354004,0.00022388069,0.9895538,0.00001418356,0.000051082417,0.0000018548858,0.0003517928,7.470358e-7,0.00016699114,0.0043429206,0.0023096611,0.0029187193],"study_design_scores_gemma":[0.00048765395,0.0006165383,0.9747443,0.0000066663456,0.000033180066,0.000010005809,0.0010390977,0.000009630926,0.000032297667,0.021851966,0.0010537553,0.00011491127],"about_ca_topic_score_codex":0.00020440975,"about_ca_topic_score_gemma":0.024288837,"teacher_disagreement_score":0.024084426,"about_ca_system_score_codex":0.000023589155,"about_ca_system_score_gemma":0.0000063760044,"threshold_uncertainty_score":0.9935154},"labels":[],"label_agreement":null},{"id":"W1566592723","doi":"10.1111/geb.12217","title":"Towards a better understanding of potential impacts of climate change on marine species distribution: a multiscale modelling approach","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Fondation pour la Recherche sur la Biodiversite; Institut de Recherche pour le Développement","keywords":"Habitat; Climate change; Range (aeronautics); Ecology; Species distribution; Environmental niche modelling; Environmental science; Current (fluid); Ecological niche; Oceanography; Biology; Geology","score_opus":0.02739927882847675,"score_gpt":0.22529305482122927,"score_spread":0.1978937759927525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566592723","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":[0.9687575,0.000027869452,0.003435844,0.00030982334,0.00011302439,0.00017263257,0.0011584014,0.000020631796,0.026004247],"genre_scores_gemma":[0.998953,0.00035168082,0.0002246297,0.00016565558,0.000027488737,0.000008958136,0.0002638909,0.0000030957028,0.0000016223333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905026,0.000049139904,0.00020180472,0.00023524764,0.0001585627,0.00030496516],"domain_scores_gemma":[0.9996451,0.000014696147,0.00012234019,0.00012269348,0.000011327812,0.00008380682],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019493858,0.00013387008,0.00022058284,0.000034240682,0.00012037641,0.000011343806,0.00010310803,0.0001229885,0.0013913711],"category_scores_gemma":[0.000007657238,0.00011343397,0.000114771734,0.00031014348,0.0005364011,0.000071944196,0.00019990598,0.000060596678,0.000010644099],"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":[0.00017024243,0.0003111108,0.9644087,0.00005445246,0.000036976253,0.0000019974443,0.00006578414,0.000073085226,0.00018155428,0.032817867,0.00029391775,0.0015842954],"study_design_scores_gemma":[0.00061062764,0.00030984404,0.9939898,0.000010461652,0.000037430167,0.000009276731,0.00038847644,0.0020710973,0.00016046378,0.0017195281,0.00055949803,0.0001334578],"about_ca_topic_score_codex":0.00028794623,"about_ca_topic_score_gemma":0.0001397674,"teacher_disagreement_score":0.031098338,"about_ca_system_score_codex":0.000117901654,"about_ca_system_score_gemma":0.0000019015457,"threshold_uncertainty_score":0.9995215},"labels":[],"label_agreement":null},{"id":"W1577127506","doi":"10.1111/geb.12041","title":"Large‐scale geographic patterns of diversity and community structure of pelagic crustacean zooplankton in <scp>C</scp>anadian lakes","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Fisheries and Oceans Canada; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Species richness; Ecology; Pelagic zone; Macroecology; Species diversity; Zooplankton; Community structure; Geography; Biodiversity; Crustacean; Diversity index; Biology; Environmental science","score_opus":0.004994622769765309,"score_gpt":0.18590085831975137,"score_spread":0.18090623554998606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577127506","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":[0.9980756,0.00013676718,0.000008046448,0.0000293655,0.00006371131,0.0002450364,0.0009178923,0.000008282479,0.00051529874],"genre_scores_gemma":[0.99970454,0.00009332215,0.00006178066,0.00008281504,0.000004438171,0.0000020411464,0.000042855532,0.000002819158,0.0000053749623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989665,0.00022066114,0.00023186035,0.00018917302,0.0001037554,0.0002880467],"domain_scores_gemma":[0.9993711,0.00015442866,0.00014945431,0.00019056776,0.000014277487,0.00012013791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023404475,0.00014327376,0.00028861512,0.000097670796,0.00035969526,0.000008435221,0.00020242913,0.00022669339,0.00015577312],"category_scores_gemma":[0.000025106248,0.00012832049,0.000059402533,0.00032041888,0.0003875787,0.0001067551,0.00055435346,0.00023168696,0.000002843791],"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":[0.0000036791919,0.000098203614,0.9978938,0.000056294262,0.000025781335,0.000002383173,0.0014811512,0.00000984789,0.000075808595,0.00017468081,0.000073752315,0.00010461772],"study_design_scores_gemma":[0.00040850946,0.00019922407,0.99129355,0.000016457549,0.00002235066,0.000011747831,0.004204553,0.0001931345,0.000015327036,0.0034572422,0.000116374,0.00006154551],"about_ca_topic_score_codex":0.024648981,"about_ca_topic_score_gemma":0.26329765,"teacher_disagreement_score":0.23864865,"about_ca_system_score_codex":0.000016971027,"about_ca_system_score_gemma":0.0000049429063,"threshold_uncertainty_score":0.981846},"labels":[],"label_agreement":null},{"id":"W1578541971","doi":"10.1111/geb.12136","title":"Unsupported inferences of high‐severity fire in historical dry forests of the western <scp>U</scp>nited <scp>S</scp>tates: response to <scp>W</scp>illiams and <scp>B</scp>aker","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"","keywords":"Fire regime; Ecosystem; Ecology; Dry weight; Geography; Environmental science; Physical geography; Biology; Botany","score_opus":0.005239924433355303,"score_gpt":0.20096759230624692,"score_spread":0.19572766787289161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578541971","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":[0.99506015,0.00077056146,0.000013770719,0.0002764869,0.00087175384,0.0016518417,0.00042682068,0.000097483215,0.00083113875],"genre_scores_gemma":[0.99813884,0.00020209988,0.00021414504,0.00057117164,0.000055462857,0.00018398528,0.000045391414,0.000032386113,0.00055651204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945992,0.0010710695,0.0011596017,0.0011769105,0.00069239055,0.0013008144],"domain_scores_gemma":[0.99345946,0.0043121977,0.00075316214,0.0007815692,0.000120000266,0.0005736057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013100259,0.00071452453,0.0011360511,0.00038027595,0.0003333526,0.00008718161,0.0009688216,0.0008804809,0.00002694701],"category_scores_gemma":[0.0033382142,0.0005625746,0.000301694,0.0025617601,0.001455143,0.00048890314,0.000874826,0.0005021316,0.00012515864],"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":[0.000025558396,0.00045377872,0.97332394,0.000102231104,0.00012972805,0.00003673638,0.0010869562,0.000030753396,0.0010664412,0.000022771805,0.02270111,0.0010199816],"study_design_scores_gemma":[0.0012858603,0.0011310152,0.9725806,0.000104810926,0.000093066235,0.000049125803,0.000896753,0.0002687281,0.00062755134,0.00095278583,0.021920135,0.000089547924],"about_ca_topic_score_codex":0.012295808,"about_ca_topic_score_gemma":0.015116283,"teacher_disagreement_score":0.0032411285,"about_ca_system_score_codex":0.0003317496,"about_ca_system_score_gemma":0.00009334417,"threshold_uncertainty_score":0.99968255},"labels":[],"label_agreement":null},{"id":"W1585419738","doi":"10.1111/j.1466-8238.2012.00799.x","title":"Estimates of soil carbon concentration in tropical and temperate forest and woodland from available <scp>GIS</scp> data on three continents","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Temperate climate; Woodland; Temperate rainforest; Ecology; Temperate forest; Agroforestry; Tropics; Environmental science; Tropical forest; Geography; Forestry; Ecosystem; Biology","score_opus":0.014956322272823473,"score_gpt":0.21492172559600034,"score_spread":0.19996540332317686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585419738","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":[0.9971837,0.0017755543,1.7506322e-7,0.000116206604,0.00009605052,0.00013371649,0.0003726401,0.000014434328,0.00030753887],"genre_scores_gemma":[0.9988954,0.0006404874,0.000044472607,0.00012541629,0.00005055384,0.000004487587,0.00023699574,5.9616673e-7,0.0000015687577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991927,0.000045652898,0.00016501798,0.0002654091,0.00007066383,0.00026054343],"domain_scores_gemma":[0.9995528,0.00019768211,0.00006686309,0.000061211336,0.000018839823,0.0001026244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011324521,0.00012593671,0.00021196975,0.000013180035,0.00006435535,0.000026202728,0.00009606701,0.00016631097,0.000007095162],"category_scores_gemma":[0.000059524325,0.00005908952,0.000020958496,0.00016619683,0.00023179871,0.00009034805,0.00010797486,0.00007077854,0.0000010546934],"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":[0.00003520269,0.000083271094,0.997355,0.0000041752915,0.000025655245,0.0000014541902,0.000013136555,3.6758007e-7,0.0010235499,0.00018321953,0.000040061776,0.0012349196],"study_design_scores_gemma":[0.0004792341,0.00023984493,0.99608,0.000011139885,0.000030719286,0.0000049539713,0.00006051544,0.001868193,0.00011566485,0.00093271444,0.00012247567,0.000054559398],"about_ca_topic_score_codex":0.0031893034,"about_ca_topic_score_gemma":0.026968302,"teacher_disagreement_score":0.023779,"about_ca_system_score_codex":0.0000054415445,"about_ca_system_score_gemma":0.0000044357075,"threshold_uncertainty_score":0.99078697},"labels":[],"label_agreement":null},{"id":"W1586890123","doi":"10.1111/geb.12365","title":"A global, remote sensing‐based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":341,"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":"Division of Biological Infrastructure; National Center For Environmental Assessment; McGill University; National Aeronautics and Space Administration","keywords":"Spatial heterogeneity; Species richness; Biodiversity; Land cover; Habitat; Geography; Vegetation (pathology); Moderate-resolution imaging spectroradiometer; Ecology; Remote sensing; Environmental science; Physical geography; Land use; Biology; Satellite","score_opus":0.019119728971549253,"score_gpt":0.21732638628982207,"score_spread":0.1982066573182728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586890123","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":[0.994218,0.00004108925,0.004212811,0.00012233194,0.0002264972,0.0002779849,0.00082367635,0.000022326132,0.00005531526],"genre_scores_gemma":[0.9978673,0.00002018314,0.0018609727,0.00014328104,0.00002135812,7.340036e-7,0.0000845306,0.0000015263654,1.2084323e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992155,0.000071918505,0.00017264293,0.00026710113,0.00008295837,0.00018987701],"domain_scores_gemma":[0.99961865,0.00002138231,0.00012272604,0.00009775256,0.00001720211,0.00012226957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000256031,0.00011520325,0.00020310262,0.0000254665,0.00013861404,0.000020552958,0.00007333053,0.00013716663,0.000003085212],"category_scores_gemma":[0.00000756722,0.0000973545,0.000058317037,0.00020630794,0.0000558018,0.00010653977,0.00008227702,0.000021527529,0.0000044559383],"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":[0.00024799845,0.00002514916,0.99827284,0.00003970916,0.000031861437,0.0000018468622,0.00001309328,0.00031658635,0.00010360832,0.000005920362,0.000050254694,0.0008911235],"study_design_scores_gemma":[0.0037941192,0.0008412134,0.7523803,0.00004844583,0.00020445477,0.00003825095,0.00008101811,0.23669365,0.0003484209,0.0020390654,0.0031196564,0.00041139935],"about_ca_topic_score_codex":0.0010489179,"about_ca_topic_score_gemma":0.007718947,"teacher_disagreement_score":0.24589254,"about_ca_system_score_codex":0.000040026465,"about_ca_system_score_gemma":0.000012321486,"threshold_uncertainty_score":0.43073535},"labels":[],"label_agreement":null},{"id":"W1589731803","doi":"10.1111/geb.12293","title":"Spatial and species compositional networks for inferring connectivity patterns in ecological communities","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Research Chairs","keywords":"Metacommunity; Spatial ecology; Metapopulation; Spatial network; Ecology; Spatial analysis; Biological dispersal; Computer science; Landscape connectivity; Spatial variability; Geography; Remote sensing; Biology; Population; Mathematics; Statistics","score_opus":0.019664834732178116,"score_gpt":0.23618784156023392,"score_spread":0.2165230068280558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589731803","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":[0.9973477,0.000023955745,0.0008913219,0.0005696412,0.00013962171,0.00014658006,0.00006469372,0.000013600323,0.00080286455],"genre_scores_gemma":[0.99896157,0.00003018598,0.00018916784,0.0007065403,0.000027530617,0.000032626904,0.000048191887,0.0000013861538,0.000002807919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951714,0.00006906247,0.00010811948,0.00011755793,0.00004187565,0.00014626807],"domain_scores_gemma":[0.99973285,0.00011899186,0.000036071975,0.00004864421,0.000010737727,0.000052698182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016032132,0.000074981086,0.00010541964,0.000029179713,0.0001392684,0.000025635862,0.0000505652,0.00008730846,0.00009926557],"category_scores_gemma":[0.000012656002,0.00006807151,0.000026410418,0.000087432294,0.0002696946,0.000114610746,0.00011420359,0.00007321501,0.000001920827],"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":[0.00005726482,0.000108827044,0.9978912,0.0000015890547,0.000008821131,0.0000013325866,0.000038185142,0.00017036837,0.000005184304,0.00075794494,0.0002917685,0.00066751236],"study_design_scores_gemma":[0.00046870526,0.00029334464,0.9914072,0.0000044180006,0.000007129503,0.00001700922,0.00031662846,0.004141713,0.0000024124113,0.00198229,0.0012784966,0.0000806447],"about_ca_topic_score_codex":0.0026139237,"about_ca_topic_score_gemma":0.03367291,"teacher_disagreement_score":0.031058988,"about_ca_system_score_codex":0.000043645505,"about_ca_system_score_gemma":0.000004715826,"threshold_uncertainty_score":0.98396003},"labels":[],"label_agreement":null},{"id":"W1600861298","doi":"10.1111/geb.12312","title":"The weakness of evidence supporting tropical niche conservatism as a main driver of current richness–temperature gradients","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":35,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Niche; Ecology; Mammal; Clade; Biology; Ecological niche; Range (aeronautics); Origination; Conservatism; Phylogenetics; Habitat","score_opus":0.04567893341276468,"score_gpt":0.29636393941694517,"score_spread":0.2506850060041805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600861298","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":[0.9825634,0.014996488,0.0000032108494,0.0010139443,0.00064677314,0.00013002657,0.00011995516,0.0000104801375,0.00051575777],"genre_scores_gemma":[0.99851334,0.0012163935,0.00006700408,0.00015905939,0.00002021483,0.0000018702943,0.000011772817,5.887872e-7,0.000009741296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890596,0.0002209045,0.00028341723,0.00018851341,0.00014132018,0.00025988923],"domain_scores_gemma":[0.9991778,0.00030632684,0.0001822735,0.00011010479,0.0001198828,0.00010357595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036229548,0.00010997135,0.00023129368,0.000043073156,0.00020429665,0.00000928681,0.00017442342,0.00011922499,0.000030249903],"category_scores_gemma":[0.00026735436,0.00006230405,0.00007557421,0.00036920074,0.0010754056,0.00006949694,0.000029515959,0.000116883784,0.0000071790687],"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":[0.0001117123,0.000021952075,0.9947437,0.000017224402,0.00005596013,0.0000051861048,0.00009184083,0.000002038795,0.0000055308806,0.0015549805,0.0015705697,0.0018193217],"study_design_scores_gemma":[0.00030535136,0.00027669108,0.99260753,0.000024896952,0.0000396485,0.000030030315,0.0004134115,0.000027695809,0.00001046998,0.0041843625,0.002006698,0.000073239375],"about_ca_topic_score_codex":0.00042562265,"about_ca_topic_score_gemma":0.021644637,"teacher_disagreement_score":0.021219013,"about_ca_system_score_codex":0.0000025359266,"about_ca_system_score_gemma":0.00007852415,"threshold_uncertainty_score":0.9962078},"labels":[],"label_agreement":null},{"id":"W1601603901","doi":"10.1111/j.1466-8238.2011.00655.x","title":"Global pattern and local variation in species–area relationships","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Latitude; Confidence interval; Species richness; Covariate; Contrast (vision); Spatial variability; Geography; Ecology; Statistics; Physical geography; Spatial ecology; Climatology; Environmental science; Mathematics; Biology; Computer science; Geology; Geodesy","score_opus":0.014210798934335592,"score_gpt":0.20024530583362044,"score_spread":0.18603450689928486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601603901","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":[0.9786488,0.000098139564,0.0014829012,0.0002597596,0.0001220018,0.000113391754,0.000037474798,0.000020290736,0.019217245],"genre_scores_gemma":[0.99913365,0.00010673775,0.00039741173,0.0003244153,0.0000053698836,0.000011782781,0.000007709919,0.0000013540647,0.0000115519915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926156,0.00008894412,0.00015151437,0.00025265015,0.0000487771,0.00019656091],"domain_scores_gemma":[0.99978346,0.00003891824,0.00005087904,0.000067163906,0.0000065595896,0.000053043645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020511104,0.00009788868,0.00011304665,0.000033653385,0.00019843271,0.000006365901,0.000060964692,0.00016403275,0.00026223867],"category_scores_gemma":[0.00002285671,0.00009154838,0.000024420924,0.00033956187,0.00059799926,0.00010296888,0.00012422734,0.00007884019,0.000032309978],"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":[0.000017249844,0.00006144345,0.99369806,0.0000021016538,0.000017320457,0.000010053007,0.00017853493,0.000015161185,0.0000012895475,0.004759126,0.00009659462,0.0011430848],"study_design_scores_gemma":[0.00030420066,0.000086826796,0.9699395,0.0000019290007,0.000016336331,0.000020482128,0.0001481979,0.00042181602,3.676065e-7,0.028883692,0.00008336636,0.000093298026],"about_ca_topic_score_codex":0.00060603535,"about_ca_topic_score_gemma":0.045725748,"teacher_disagreement_score":0.045119714,"about_ca_system_score_codex":0.000055495842,"about_ca_system_score_gemma":0.000004308841,"threshold_uncertainty_score":0.97168726},"labels":[],"label_agreement":null},{"id":"W1604748900","doi":"10.1111/geb.12232","title":"Contemporaneous climate directly controls broad‐scale patterns of woody plant diversity: a test by a natural experiment over 14,000 years","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"Universidad Autónoma del Estado de México; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Species richness; Ecology; Climate change; Body size and species richness; Proxy (statistics); Spatial ecology; Geography; Physical geography; Biology","score_opus":0.0026338239601579505,"score_gpt":0.19095460759476426,"score_spread":0.1883207836346063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604748900","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":[0.99677867,0.0003330233,0.000009272628,0.00012908528,0.00020264217,0.00018712557,0.00076398475,0.000027881177,0.0015683259],"genre_scores_gemma":[0.9989643,0.0001953376,0.000045495493,0.0006933976,0.000008713521,0.000014011522,0.000048060287,0.000003031571,0.000027647333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990405,0.00007786832,0.00018541882,0.00028980654,0.00010811421,0.0002983336],"domain_scores_gemma":[0.9995437,0.00015181497,0.00012263644,0.00010169218,0.00000988616,0.00007023723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016321779,0.00014191873,0.000269767,0.000032697124,0.0002515863,0.000008649417,0.00013411499,0.0001310913,0.00014465589],"category_scores_gemma":[0.000020616664,0.0001272939,0.000083801715,0.00010935435,0.00045607018,0.000057018293,0.00036388956,0.00008450615,0.00001621566],"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":[0.000083743245,0.00017507789,0.9975005,0.0000068524073,0.000070364404,0.00000877528,0.00015094184,0.0000030565704,0.0005821015,0.000107687985,0.0009473587,0.00036356182],"study_design_scores_gemma":[0.0010736735,0.00038825304,0.99656457,0.0000062301074,0.000041311472,0.0000126939785,0.000097001306,0.00016045805,0.00007942284,0.00021742634,0.0012136623,0.000145282],"about_ca_topic_score_codex":0.00069706835,"about_ca_topic_score_gemma":0.0041088313,"teacher_disagreement_score":0.003411763,"about_ca_system_score_codex":0.000028652823,"about_ca_system_score_gemma":0.0000022731324,"threshold_uncertainty_score":0.51908946},"labels":[],"label_agreement":null},{"id":"W1621582597","doi":"10.1111/geb.12218","title":"Strengthening confidence in climate change impact science","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":56,"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":"Natural Environment Research Council; Sight Research UK","keywords":"Confidence interval; Climate change; Low Confidence; Index (typography); Statistics; Ecology; Environmental resource management; Environmental science; Geography; Psychology; Computer science; Biology; Mathematics; Social psychology","score_opus":0.012624976713261406,"score_gpt":0.2617070472713654,"score_spread":0.249082070558104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1621582597","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":[0.9794307,0.00006279409,0.0000037171733,0.0002527556,0.000120735676,0.000107688546,0.00008590063,0.0000299375,0.019905798],"genre_scores_gemma":[0.9991501,0.00020442906,0.000032307238,0.000570768,0.000013587742,0.000015653948,0.000010334464,0.0000018142387,0.0000010028134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886507,0.000037780126,0.00013468691,0.00032446667,0.00013747897,0.00050054636],"domain_scores_gemma":[0.99965173,0.000025904932,0.00005354045,0.00012775991,0.000008686406,0.00013238771],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004911816,0.00011278426,0.00012583923,0.00006659574,0.00021004786,0.00003791344,0.0001958183,0.00007381386,0.0038740602],"category_scores_gemma":[0.000043890534,0.000094152165,0.000046997546,0.0009279238,0.0010959199,0.00021190212,0.00022922116,0.00006618731,0.00018997943],"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":[0.000012939752,0.000034173005,0.98850805,0.0000019439076,0.0000016463441,0.0000020183882,0.000035847374,0.0000010322183,0.00025575949,0.007217965,0.00008501329,0.0038436314],"study_design_scores_gemma":[0.00025602238,0.00012919845,0.997058,0.0000049380355,0.0000041721028,0.000013477557,0.00018287337,0.00010951289,0.000046944093,0.000889792,0.0011921736,0.00011295023],"about_ca_topic_score_codex":0.0007861474,"about_ca_topic_score_gemma":0.002360345,"teacher_disagreement_score":0.019904794,"about_ca_system_score_codex":0.00014722644,"about_ca_system_score_gemma":0.0000050580657,"threshold_uncertainty_score":0.9970365},"labels":[],"label_agreement":null},{"id":"W1630545993","doi":"10.1111/j.1466-8238.2010.00632.x","title":"Geographic disparities and moral hazards in the predicted impacts of climate change on human populations","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Geography; Population; Global warming; Vulnerability (computing); Climate model; Ecology; Physical geography; Demography; Biology","score_opus":0.1384185824559736,"score_gpt":0.3325783022119552,"score_spread":0.19415971975598162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1630545993","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":[0.994902,0.0002985593,4.8078965e-7,0.0007852687,0.00011475828,0.0003596245,0.00028620218,0.00002786768,0.0032252495],"genre_scores_gemma":[0.99796,0.001526506,0.00004631661,0.00030904694,0.000040485378,0.000043451677,0.00007115813,0.000002441399,6.400373e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905664,0.00020925765,0.0001801614,0.00015871887,0.0001288997,0.00026634295],"domain_scores_gemma":[0.9996619,0.000043230575,0.0001027495,0.000088082365,0.000051487063,0.000052508807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046397484,0.000093709365,0.00013328849,0.00020584161,0.00045807622,0.000025760666,0.0000991303,0.00014074487,0.000022740105],"category_scores_gemma":[0.000038293394,0.00007383821,0.000047174402,0.0005885323,0.0007236733,0.00016518738,0.000026018386,0.00006482366,5.043293e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022603655,0.00008307806,0.8756629,0.0000100657935,0.000008500122,0.000001312606,0.005354376,5.4753702e-8,0.0000025025017,0.11835287,0.00002698288,0.00047472783],"study_design_scores_gemma":[0.00023571159,0.00023472711,0.97717476,0.000017236047,0.000029185538,0.0000013556918,0.0037912359,0.000007693161,0.0000013834851,0.018382473,0.000052985957,0.00007127497],"about_ca_topic_score_codex":0.022611517,"about_ca_topic_score_gemma":0.2987309,"teacher_disagreement_score":0.27611938,"about_ca_system_score_codex":0.000013629067,"about_ca_system_score_gemma":0.00001268554,"threshold_uncertainty_score":0.983897},"labels":[],"label_agreement":null},{"id":"W1667976067","doi":"10.1111/j.1466-8238.2012.00782.x","title":"The paradox of energy equivalence","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":38,"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 Environment Research Council; Grantová Agentura České Republiky; Sight Research UK; McGill University","keywords":"Equivalence (formal languages); Null (SQL); Null hypothesis; Ecology; Null model; Population; Statistical physics; Econometrics; Mathematical economics; Mathematics; Physics; Pure mathematics; Biology; Computer science; Sociology","score_opus":0.007906457108445212,"score_gpt":0.21214848137331432,"score_spread":0.20424202426486912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1667976067","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":[0.9935132,0.0005609538,0.000018945944,0.00030794123,0.00007211699,0.000026383888,0.000017976494,0.000008912113,0.0054735197],"genre_scores_gemma":[0.9992449,0.0002668417,0.00013061397,0.00031835324,0.000015886522,0.0000061505857,0.0000029330645,5.560416e-7,0.000013760441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953485,0.000028600212,0.0000857559,0.000089423724,0.000053852287,0.00020751849],"domain_scores_gemma":[0.9997625,0.00006368626,0.000035524117,0.00006681183,0.0000032768921,0.00006822142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007373478,0.000052454114,0.00006141515,0.0000040480277,0.00013050789,0.000002847211,0.00010978796,0.000054174685,0.00010695657],"category_scores_gemma":[0.000014607439,0.000027980956,0.00004578105,0.00019665934,0.0007516895,0.00004096668,0.00012835441,0.000025933688,0.00001738463],"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":[0.00001589825,0.00008523023,0.9670642,8.854337e-7,0.00001045355,1.6473355e-7,0.000004014727,9.461071e-7,0.010524253,0.014446638,0.0009526976,0.0068946043],"study_design_scores_gemma":[0.000048038324,0.000062098305,0.9654318,6.6380807e-7,0.0000068209765,0.000002713963,0.00001149089,0.000005488727,0.0011523024,0.021755883,0.011477839,0.000044867156],"about_ca_topic_score_codex":0.00008448016,"about_ca_topic_score_gemma":0.000047156347,"teacher_disagreement_score":0.010525142,"about_ca_system_score_codex":0.0000054907464,"about_ca_system_score_gemma":0.000001255801,"threshold_uncertainty_score":0.2769631},"labels":[],"label_agreement":null},{"id":"W1681418886","doi":"10.1111/geb.12172","title":"Global relationship of wood and leaf litter decomposability: the role of functional traits within and across plant organs","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":199,"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":"Australian Research Council; Ministry of Business, Innovation and Employment; Deutsche Forschungsgemeinschaft","keywords":"Biology; Plant litter; Litter; Specific leaf area; Botany; Range (aeronautics); Woody plant; Ecosystem; Ecology; Photosynthesis","score_opus":0.009072244157008155,"score_gpt":0.19184326201880078,"score_spread":0.18277101786179262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1681418886","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":[0.9969154,0.00045589206,6.221631e-7,0.0015638144,0.000064814405,0.00010115961,0.00070808013,0.000010886913,0.0001793452],"genre_scores_gemma":[0.9996296,0.000043648306,0.000031700954,0.00024016974,0.000023438377,0.0000024027268,0.000026799542,1.5649783e-7,0.000002054671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931544,0.00009804808,0.00015816337,0.0002053401,0.00006039784,0.00016262477],"domain_scores_gemma":[0.9995218,0.0002688101,0.000091160044,0.000028684226,0.000045299505,0.000044279943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028613143,0.00009674596,0.00017590239,0.0000066663015,0.0004090776,0.000010237322,0.00007904142,0.00016350363,0.000016636333],"category_scores_gemma":[0.00005654732,0.000037367696,0.00004948536,0.00023401086,0.0011677359,0.00004397418,0.0001305386,0.000060120725,9.650738e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099640005,0.000054938908,0.9923832,0.000006662497,0.000053383057,2.6434788e-7,0.000092235976,5.5543507e-7,0.0001426308,0.004694155,0.00009032,0.0023820056],"study_design_scores_gemma":[0.0002045294,0.0004209766,0.9812137,0.0000035151722,0.00003059042,0.00002360926,0.0009541547,0.000007996912,0.000033711847,0.016432002,0.00060801813,0.00006718973],"about_ca_topic_score_codex":0.00016896299,"about_ca_topic_score_gemma":0.006044778,"teacher_disagreement_score":0.011737847,"about_ca_system_score_codex":0.000004451227,"about_ca_system_score_gemma":0.0000038656617,"threshold_uncertainty_score":0.43025717},"labels":[],"label_agreement":null},{"id":"W1734615271","doi":"10.1111/geb.12306","title":"Species' intrinsic traits inform their range limitations and vulnerability under environmental change","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Biological dispersal; Range (aeronautics); Habitat; Ecology; Species distribution; Climate change; Life history theory; Biology; Environmental change; Geography; Life history; Population","score_opus":0.056614064888959086,"score_gpt":0.23760450526904536,"score_spread":0.18099044038008627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1734615271","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":[0.9823073,0.00036369488,0.0000053968993,0.0013582053,0.00013631894,0.00025448855,0.000647839,0.000051666124,0.014875054],"genre_scores_gemma":[0.9975893,0.000535656,0.000028222894,0.0016445688,0.000030218804,0.000039052942,0.000110166206,0.0000032120824,0.000019587324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910885,0.000047092195,0.00014933801,0.00027840337,0.00012513425,0.00029120984],"domain_scores_gemma":[0.99956787,0.00003699748,0.000050120252,0.00010449376,0.0000061207593,0.00023440704],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018288821,0.00015684479,0.00015039426,0.000032617096,0.00018935307,0.000030323772,0.000093433526,0.00013681814,0.0020282993],"category_scores_gemma":[0.000019084844,0.00013042733,0.000056081895,0.00025698004,0.000921601,0.00021032438,0.00019705764,0.000083749,0.00015075227],"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":[0.000035476387,0.0001290521,0.9868744,0.000002697416,0.00001880827,0.0000022010638,0.00031349022,3.488845e-7,0.00005186533,0.0020720032,0.0021851133,0.00831452],"study_design_scores_gemma":[0.0006264548,0.00017148448,0.9582974,0.000001013845,0.000016084388,0.000025178411,0.003233147,0.000008070229,0.000014279854,0.0012922648,0.036168817,0.00014586166],"about_ca_topic_score_codex":0.00012650527,"about_ca_topic_score_gemma":0.0020454251,"teacher_disagreement_score":0.033983704,"about_ca_system_score_codex":0.000185982,"about_ca_system_score_gemma":0.000004881716,"threshold_uncertainty_score":0.99888396},"labels":[],"label_agreement":null},{"id":"W1741005788","doi":"10.1111/geb.12112","title":"Influence of intraspecific competition on the distribution of a wide‐ranging, non‐territorial carnivore","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Foraging; Habitat; Intraspecific competition; Ecology; Predation; Carnivore; Population; Ideal free distribution; Competition (biology); Biomass (ecology); Biology; Optimal foraging theory; Geography; Demography","score_opus":0.0037362441478579634,"score_gpt":0.18633903065005528,"score_spread":0.1826027865021973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1741005788","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":[0.9970903,0.000035191893,0.000005368976,0.00037373713,0.000093506336,0.00022541548,0.00006736399,0.0000067325886,0.0021023916],"genre_scores_gemma":[0.9996182,0.0001440631,0.00001517205,0.00016483123,0.000024149109,0.000017944123,0.000013127879,0.000001253841,0.0000012930287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939835,0.00004435195,0.00015953307,0.00014676164,0.000107157546,0.00014384981],"domain_scores_gemma":[0.9996861,0.00006353244,0.000098543576,0.0001033557,0.000019784757,0.00002865203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010695232,0.000083522784,0.0001354749,0.000011138905,0.0000941746,0.000005242234,0.00012330928,0.00006302956,0.0002863665],"category_scores_gemma":[0.000030768213,0.000056888406,0.000057619483,0.00026685462,0.0005712167,0.000055255845,0.00014264442,0.000055415625,0.000031070806],"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":[0.000019457477,0.0000546469,0.9942796,0.000009636462,0.000019341114,4.4466728e-7,0.00002017226,0.00004202486,0.00013436298,0.0028311475,0.001864868,0.0007242934],"study_design_scores_gemma":[0.0001429753,0.00027401224,0.99484444,0.000010963939,0.000014106477,0.0000013095791,0.000040789448,0.000014641399,0.00009285342,0.0016601633,0.0028495518,0.00005417796],"about_ca_topic_score_codex":0.005984837,"about_ca_topic_score_gemma":0.0015255001,"teacher_disagreement_score":0.0044593373,"about_ca_system_score_codex":0.00002697226,"about_ca_system_score_gemma":0.0000028547163,"threshold_uncertainty_score":0.90473235},"labels":[],"label_agreement":null},{"id":"W1753717546","doi":"10.1111/geb.12323","title":"Where does environmental stochasticity most influence population dynamics? An assessment along a regional core‐periphery gradient for prairie breeding ducks","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ducks Unlimited Canada; Trent University","funders":"Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; Canada Research Chairs; McKnight Foundation","keywords":"Abundance (ecology); Environmental gradient; Ecology; Population; Environmental change; Biology; Habitat; Geography; Climate change","score_opus":0.011951568603348669,"score_gpt":0.25561339172418795,"score_spread":0.24366182312083928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1753717546","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":[0.9968979,0.000037941627,0.0007474529,0.0012116719,0.00030517342,0.00047827093,0.00018395607,0.000044261167,0.00009340119],"genre_scores_gemma":[0.9962886,0.000013636039,0.0021943725,0.0010067932,0.000046460416,0.00009641803,0.00033629587,0.00000628332,0.000011164926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986861,0.000070186354,0.00025385467,0.00047506733,0.0001684039,0.00034641795],"domain_scores_gemma":[0.9994205,0.00005766737,0.00015871659,0.00014213957,0.00001505123,0.00020591184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035603266,0.00018827256,0.00018045204,0.000041308016,0.00038345833,0.000028962773,0.00015128017,0.00023302014,0.00004937004],"category_scores_gemma":[0.000031197553,0.00016266249,0.000058742015,0.00019267638,0.00055080396,0.00042815576,0.00012225,0.00010867395,0.0000070321175],"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":[0.00010998589,0.00017889858,0.99553174,0.000005501448,0.00003075498,0.0000038130734,0.00005098584,0.0005860415,0.000052345084,0.0012133569,0.0005755496,0.0016610272],"study_design_scores_gemma":[0.00066360895,0.0006013681,0.98547447,0.0000064781343,0.000043545173,0.00003204811,0.00037869715,0.0053498405,0.0000010577409,0.0068288636,0.0004130392,0.00020696284],"about_ca_topic_score_codex":0.0009937994,"about_ca_topic_score_gemma":0.022890555,"teacher_disagreement_score":0.021896755,"about_ca_system_score_codex":0.0003292072,"about_ca_system_score_gemma":0.00002519031,"threshold_uncertainty_score":0.99493915},"labels":[],"label_agreement":null},{"id":"W1759826110","doi":"10.1111/j.1466-8238.2010.00551.x","title":"Crop planting dates: an analysis of global patterns","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":994,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Wisconsin-Madison; National Aeronautics and Space Administration; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Sowing; Temperate climate; Agronomy; Crop; Evapotranspiration; Precipitation; Latitude; Phenology; Environmental science; Geography; Agroforestry; Biology; Ecology; Meteorology","score_opus":0.011891408874532994,"score_gpt":0.24564548503154793,"score_spread":0.23375407615701493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1759826110","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":[0.99439406,0.00005592321,4.402763e-7,0.00047004517,0.00017449672,0.00009935884,0.0044398406,0.000054138956,0.00031168223],"genre_scores_gemma":[0.9986991,0.00006165407,0.000056159814,0.00036108005,0.00008480761,0.00000342646,0.0007323745,2.8281835e-7,0.0000011044895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895525,0.000051585303,0.00021132303,0.0003356458,0.00010940733,0.00033678094],"domain_scores_gemma":[0.99948186,0.000054453398,0.00014172023,0.000073159565,0.00007594591,0.00017286284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016566829,0.00016042293,0.0003022134,0.0000228275,0.00015586145,0.000048675673,0.00024219112,0.00026675378,0.0004202405],"category_scores_gemma":[0.000027784145,0.000059882903,0.00017199617,0.0014957241,0.00016364799,0.00011481824,0.00009537752,0.00010428043,0.0000034194136],"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":[0.00002144901,0.00012644575,0.97815216,0.0000036029912,0.00018413973,0.0000053666217,0.000012452118,7.5825324e-7,0.016348802,0.0004312704,0.000056699668,0.004656848],"study_design_scores_gemma":[0.000097457436,0.00023636535,0.9980308,0.0000031694653,0.00027081397,0.000018871226,0.00031262677,0.000035013763,0.0001224958,0.00018745815,0.0005393023,0.00014566284],"about_ca_topic_score_codex":0.0020631987,"about_ca_topic_score_gemma":0.12546653,"teacher_disagreement_score":0.123403326,"about_ca_system_score_codex":0.0000080333,"about_ca_system_score_gemma":0.0000035125229,"threshold_uncertainty_score":0.8904914},"labels":[],"label_agreement":null},{"id":"W1761291506","doi":"10.1111/geb.12185","title":"Diet and body temperature in mammals and birds","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":34,"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":"Natural Environment Research Council; Sight Research UK","keywords":"Herbivore; Biology; Predation; Ecology; Ectotherm; Omnivore; Thermoregulation; Foraging; Vertebrate; Invertebrate; Zoology","score_opus":0.0035686280054097767,"score_gpt":0.1954414735016644,"score_spread":0.19187284549625463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1761291506","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":[0.997577,0.00014968592,7.86033e-7,0.0007959839,0.000023359313,0.00006532157,0.000024866147,0.000013903451,0.0013490991],"genre_scores_gemma":[0.998694,0.00018614279,0.00017299214,0.00091496395,0.000012123651,0.0000066856433,0.0000062587733,0.0000010165268,0.0000058242586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944985,0.000036598936,0.00008008949,0.00023475678,0.00003645339,0.00016225957],"domain_scores_gemma":[0.9998193,0.00003369488,0.000017498853,0.000046235713,0.0000022548545,0.00008102567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076691475,0.000081974315,0.00010792241,0.0000152886,0.000079447294,0.0000121986595,0.000045728964,0.00012601248,0.000047584836],"category_scores_gemma":[0.000019596831,0.000055857723,0.000018439847,0.00019346224,0.0005077092,0.000042564967,0.00012510241,0.00006518148,0.000007645178],"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":[0.00003155466,0.000045979024,0.96332145,0.000003187509,0.000004425585,0.0000015665453,0.0000061384235,5.584461e-7,0.033130374,0.0013263792,0.00022805415,0.0019003275],"study_design_scores_gemma":[0.00019746812,0.00025116737,0.9776683,0.0000023682312,0.00000514914,0.0000056612857,0.000011598022,0.000026449721,0.00018446494,0.019931773,0.0016339301,0.00008168796],"about_ca_topic_score_codex":0.0001108471,"about_ca_topic_score_gemma":0.000290435,"teacher_disagreement_score":0.03294591,"about_ca_system_score_codex":0.000004872191,"about_ca_system_score_gemma":9.76322e-7,"threshold_uncertainty_score":0.22778119},"labels":[],"label_agreement":null},{"id":"W1769635513","doi":"10.1111/geb.12100","title":"Integrated assessment models for ecologists: the present and the future","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Engineering and Physical Sciences Research Council; National Institutes of Health","keywords":"Futures contract; Biodiversity; Ecosystem services; Biosphere; Ecology; Environmental resource management; Ecosystem; Computer science; Environmental science; Biology; Business","score_opus":0.0053443780799164965,"score_gpt":0.21286549505712252,"score_spread":0.20752111697720602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1769635513","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":[0.9785381,0.0008286593,0.00007484045,0.016339432,0.00024603025,0.0009882277,0.000058957175,0.00002316663,0.0029026186],"genre_scores_gemma":[0.9973835,0.00050590764,0.00024947093,0.001465014,0.000074345095,0.00029726204,0.000012648533,0.0000022737602,0.000009597947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992554,0.00009789333,0.00013104387,0.00021629533,0.000065793836,0.00023353635],"domain_scores_gemma":[0.99962366,0.000113053524,0.00005863045,0.00014008618,0.0000125194265,0.00005206547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030059082,0.00011238976,0.00013866373,0.000010094857,0.0003899807,0.00007222564,0.00019763192,0.00010647053,0.00020983846],"category_scores_gemma":[0.000002329209,0.000045192515,0.0000620974,0.00015249502,0.00026007142,0.00013415041,0.00016953975,0.00006784485,0.00001546324],"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":[0.00007755229,0.00006969848,0.966602,0.00001773111,0.00012567114,9.585145e-7,0.000089807894,0.00017851044,0.000004351247,0.007899033,0.015562934,0.009371739],"study_design_scores_gemma":[0.0010669352,0.00014044088,0.8785417,0.0000029333382,0.000055385826,0.00001366773,0.0006635321,0.019384881,0.0000021052797,0.0667626,0.033253197,0.0001126367],"about_ca_topic_score_codex":0.0015828398,"about_ca_topic_score_gemma":0.0051805372,"teacher_disagreement_score":0.08806033,"about_ca_system_score_codex":0.000018593808,"about_ca_system_score_gemma":0.000005626444,"threshold_uncertainty_score":0.2999456},"labels":[],"label_agreement":null},{"id":"W1818355168","doi":"10.1111/geb.12077","title":"A global heterothermic continuum in mammals","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Latitude; Ecology; Variation (astronomy); Hoarding (animal behavior); Seasonality; Bergmann's rule; Range (aeronautics); Ectotherm; Zoology; Evolutionary biology; Foraging; Geography","score_opus":0.0064000521544225,"score_gpt":0.19642655750610555,"score_spread":0.19002650535168306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1818355168","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":[0.9917443,0.0008026832,1.705782e-7,0.0041094064,0.00023334322,0.0003041629,0.000097049364,0.0000555216,0.0026534058],"genre_scores_gemma":[0.99736524,0.00019180664,0.000033895743,0.002223814,0.000056680285,0.0000847434,0.000021267992,2.9089347e-7,0.000022237124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987759,0.00011580426,0.00021400166,0.00036210468,0.000038113434,0.000494095],"domain_scores_gemma":[0.999702,0.00008286797,0.000059646532,0.000041065385,0.00003349208,0.00008095785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014475711,0.0001713951,0.00027604587,0.000014768238,0.00018752196,0.000022059157,0.00016406717,0.000346458,0.0004636943],"category_scores_gemma":[0.000022514618,0.0000706618,0.00009073302,0.0004696449,0.0005118906,0.00008501811,0.00012281236,0.00008095192,0.00011723806],"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":[0.00002630531,0.00007696723,0.9850257,0.0000018662128,0.00003846665,0.0000077013965,0.0000052082773,4.8009042e-8,0.00052376976,0.0005284754,0.0017838062,0.0119816605],"study_design_scores_gemma":[0.00025993315,0.00031844949,0.9851844,0.000003598871,0.000009231466,0.000033266133,0.000117139345,0.0000016437959,0.000010811709,0.01103475,0.0028765358,0.00015029394],"about_ca_topic_score_codex":0.0011874458,"about_ca_topic_score_gemma":0.052569076,"teacher_disagreement_score":0.05138163,"about_ca_system_score_codex":0.000018797635,"about_ca_system_score_gemma":0.0000037271352,"threshold_uncertainty_score":0.96471906},"labels":[],"label_agreement":null},{"id":"W1827372303","doi":"10.1111/j.1466-8238.2010.00641.x","title":"Phylogenetic tests of community assembly across regional to continental scales in tropical and subtropical rain forests","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":113,"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":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Macquarie University; Commonwealth Scientific and Industrial Research Organisation; Alexander von Humboldt-Stiftung","keywords":"Subtropics; Rainforest; Tropical and subtropical moist broadleaf forests; Ecology; Geography; Tropical rain forest; Biogeography; Tropical and subtropical dry broadleaf forests; Tropical rainforest; Tropics; Biology","score_opus":0.01553528551512019,"score_gpt":0.25870936865320243,"score_spread":0.24317408313808225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1827372303","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":[0.9989398,0.00008965087,0.000017472821,0.00030678773,0.00004395541,0.00014642978,0.000033620665,0.00000880147,0.00041347678],"genre_scores_gemma":[0.9988431,0.000054338056,0.00063020445,0.00044244292,0.0000046493437,0.00001616358,0.0000048793568,0.000002070367,0.0000021952026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991706,0.00015887158,0.00019138887,0.00016710444,0.0000580287,0.00025400997],"domain_scores_gemma":[0.9996645,0.000101817976,0.000050464434,0.00009014726,0.000009929806,0.00008314409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015262424,0.00010689622,0.00019849648,0.000035743968,0.00018601322,0.000003932439,0.00012051156,0.0001399009,0.000020328487],"category_scores_gemma":[0.000043930853,0.00009523892,0.0000398343,0.00023070414,0.0012829698,0.000038139005,0.00029375814,0.00012056281,0.0000061647816],"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":[0.00009561077,0.00021933077,0.9971901,0.000005737332,0.000019308343,0.0000047248845,0.000381178,0.0000023106732,0.00016202546,0.0011778249,0.00006629891,0.0006755093],"study_design_scores_gemma":[0.0005446968,0.00045324734,0.99258685,0.0000038191897,0.000008130321,0.000020287487,0.00023424189,0.000017393832,0.000018932013,0.005993968,0.000028375334,0.00009004459],"about_ca_topic_score_codex":0.00061524054,"about_ca_topic_score_gemma":0.17635934,"teacher_disagreement_score":0.17574409,"about_ca_system_score_codex":0.000017962793,"about_ca_system_score_gemma":0.0000034728778,"threshold_uncertainty_score":0.83866996},"labels":[],"label_agreement":null},{"id":"W1841443589","doi":"10.1111/j.1466-8238.2011.00713.x","title":"Toward a conceptual synthesis for climate change responses","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":96,"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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Climate change; Ecology; Population; Biological dispersal; Context (archaeology); Ecological systems theory; Conceptual framework; Environmental change; Abiotic component; Geography; Biology; Demography; Sociology","score_opus":0.07073711121158945,"score_gpt":0.25697142578602616,"score_spread":0.18623431457443673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841443589","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":[0.9771126,0.0001817806,0.000008497559,0.00045815934,0.00019414877,0.00029874305,0.0016685559,0.00006174006,0.02001579],"genre_scores_gemma":[0.9979481,0.00042897716,0.00020245084,0.0011435513,0.00001975864,0.00022472885,0.000022608723,0.0000034151076,0.000006417824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991594,0.0000432463,0.00011609951,0.0002582092,0.000061004455,0.00036202208],"domain_scores_gemma":[0.9996884,0.000056786568,0.000049721242,0.00009557419,0.000009102225,0.0001004486],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015790835,0.0001151823,0.00013618592,0.000025036637,0.00017273067,0.00001013644,0.000119065706,0.00012489311,0.0124870865],"category_scores_gemma":[0.00004321888,0.00009960869,0.00009482105,0.00020076803,0.0007396496,0.00008384441,0.00012606812,0.000030211002,0.00021187226],"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":[0.0003047049,0.00009907615,0.98191386,0.000007912214,0.000019215562,0.000006267511,0.00022708865,4.7952833e-9,0.000050975086,0.012632009,0.002089019,0.002649887],"study_design_scores_gemma":[0.00026894108,0.00022914169,0.9747614,0.0000026526584,0.000034483124,0.0000153005,0.0013634836,0.0000015564418,0.00020865598,0.0008108003,0.022168754,0.00013479183],"about_ca_topic_score_codex":0.00018788682,"about_ca_topic_score_gemma":0.00040184133,"teacher_disagreement_score":0.020835506,"about_ca_system_score_codex":0.000048173082,"about_ca_system_score_gemma":0.0000024384276,"threshold_uncertainty_score":0.98841566},"labels":[],"label_agreement":null},{"id":"W1843023250","doi":"10.1111/j.1466-8238.2011.00676.x","title":"Beta‐diversity gradients of butterflies along productivity axes","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; University of British Columbia; Canadian Forest Service","funders":"","keywords":"Productivity; Beta diversity; Ecology; Nestedness; Species richness; Geographical distance; Alpha diversity; Diversity (politics); Biology; Geography; Population; Demography","score_opus":0.010570980546406122,"score_gpt":0.19705842283290675,"score_spread":0.18648744228650063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1843023250","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":[0.9931195,0.00008218562,0.000010125141,0.00010338658,0.00018696723,0.00011160362,0.000040812978,0.000019457655,0.006325954],"genre_scores_gemma":[0.9993227,0.000073774456,0.0004686337,0.00010496444,0.000004338305,0.000004640373,0.000003602136,0.000001265673,0.000016072974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999333,0.000052585838,0.00011694442,0.00024653814,0.00006113052,0.0001897788],"domain_scores_gemma":[0.999746,0.000020116355,0.00008278104,0.00009630423,0.000012724833,0.000042034146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016331968,0.00009442193,0.00015049959,0.000035230227,0.0003352715,0.0000018003858,0.00012062223,0.00007441517,0.00012294596],"category_scores_gemma":[0.0000137997295,0.000083812774,0.000056995494,0.00022341433,0.0011102541,0.000109589666,0.00049023505,0.000051899504,0.000028065606],"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":[0.000032860447,0.00016026902,0.99755573,0.000006286124,0.000074020005,0.0000041494236,0.000344439,0.0000014665978,0.000014989655,0.0012647256,0.00014103937,0.00040005118],"study_design_scores_gemma":[0.00018529771,0.00017249897,0.9887665,0.0000013982952,0.000042832376,0.0000075645235,0.00009837134,0.0000038778003,0.000105822925,0.010476784,0.000056072244,0.00008300782],"about_ca_topic_score_codex":0.0008500972,"about_ca_topic_score_gemma":0.010365454,"teacher_disagreement_score":0.009515356,"about_ca_system_score_codex":0.000014022111,"about_ca_system_score_gemma":0.0000026269026,"threshold_uncertainty_score":0.57841665},"labels":[],"label_agreement":null},{"id":"W1858202623","doi":"10.1111/geb.12382","title":"Human impacts and aridity differentially alter soil<scp>N</scp>availability in drylands worldwide","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"European Research Council; CYTED Ciencia y Tecnología para el Desarrollo; World Bank Group","keywords":"Arid; Ecosystem; Environmental science; Ecology; Biome; Abiotic component; Global change; Nitrogen cycle; Terrestrial ecosystem; Soil texture; Climate change; Geography; Soil water; Biology; Nitrogen","score_opus":0.012459470030671488,"score_gpt":0.2264008994987235,"score_spread":0.213941429468052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1858202623","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":[0.99723226,0.00048966386,1.5655982e-7,0.00030684334,0.00016634676,0.00015663728,0.000115558185,0.00005129037,0.0014812407],"genre_scores_gemma":[0.99923974,0.00009106435,0.000016689279,0.00047522716,0.00007751706,0.000009220285,0.00007410731,7.115204e-7,0.00001572814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986798,0.00014279458,0.00022939732,0.00040055584,0.00011977959,0.00042765273],"domain_scores_gemma":[0.9993936,0.00011366018,0.00007523024,0.00006559178,0.00005413108,0.00029781766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038505014,0.00019626206,0.00027312862,0.000034823774,0.0001438301,0.000063798245,0.000141176,0.0002415007,0.000017178556],"category_scores_gemma":[0.000096784526,0.0000880912,0.00008984303,0.00045793466,0.0003244546,0.00008107677,0.00015618817,0.00014781054,0.0000051031107],"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":[0.00001932552,0.00012503029,0.99648213,0.000005511966,0.00002050443,0.000009864746,0.000028533577,3.5649245e-7,0.0014071563,0.00025129915,0.00039957865,0.001250681],"study_design_scores_gemma":[0.00047712494,0.0003934093,0.99101126,0.0000055482597,0.000020357737,0.000016479431,0.00015198713,0.000054320513,0.000122013174,0.0072455592,0.0004075044,0.0000944538],"about_ca_topic_score_codex":0.0015281707,"about_ca_topic_score_gemma":0.072136864,"teacher_disagreement_score":0.0706087,"about_ca_system_score_codex":0.00002700053,"about_ca_system_score_gemma":0.000012482673,"threshold_uncertainty_score":0.94479424},"labels":[],"label_agreement":null},{"id":"W1886005839","doi":"10.1111/j.1466-8238.2010.00621.x","title":"The role of climate and plant functional trade-offs in shaping global biome and biodiversity patterns","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Max-Planck-Gesellschaft","keywords":"Biome; Ecology; Vegetation (pathology); Biodiversity; Plant community; Biosphere; Physiognomy; Geography; Species richness; Range (aeronautics); Plant functional type; Physical geography; Environmental science; Ecosystem; Biology","score_opus":0.004891311520843139,"score_gpt":0.18958723819448056,"score_spread":0.18469592667363743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1886005839","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":[0.99804974,0.00026337962,8.719446e-7,0.0006014808,0.00012562402,0.00007917156,0.00040647553,0.0000075573757,0.00046567788],"genre_scores_gemma":[0.99887496,0.00094792224,0.000034927918,0.00012163473,0.0000047556196,0.0000034651514,0.000011359449,5.5866576e-7,4.3337926e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994347,0.000030819127,0.00010980896,0.00018861405,0.000046313504,0.00018974072],"domain_scores_gemma":[0.99980575,0.000049414128,0.00005206376,0.000047438676,0.0000032008054,0.00004211127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015067201,0.0000795648,0.000101211495,0.000023489793,0.00036960174,0.000009095055,0.000054768072,0.00011098304,0.000024652962],"category_scores_gemma":[0.000008141639,0.000060156908,0.000022855986,0.00014916054,0.0009157541,0.000055967655,0.00018596738,0.00007822344,0.0000028395743],"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":[0.0000514345,0.000031543033,0.9966951,0.000004483874,0.000022908576,0.000002563817,0.00003445487,0.0000010211376,0.00015363235,0.0017131859,0.000013008802,0.0012766591],"study_design_scores_gemma":[0.0003340991,0.00006118773,0.9949846,0.0000015664906,0.000014115633,0.000032011518,0.00019911551,0.000092615745,0.000008336194,0.003970862,0.00023776619,0.00006367102],"about_ca_topic_score_codex":0.00023854723,"about_ca_topic_score_gemma":0.026531972,"teacher_disagreement_score":0.026293423,"about_ca_system_score_codex":0.0000108918175,"about_ca_system_score_gemma":0.0000028570373,"threshold_uncertainty_score":0.99123126},"labels":[],"label_agreement":null},{"id":"W1891455834","doi":"10.1111/geb.12395","title":"Cross‐scale integration of knowledge for predicting species ranges: a metamodelling framework","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nature Conservancy of Canada; Institut du Savoir Montfort; Université du Québec à Rimouski; Université du Québec en Outaouais; University of Toronto; Canadian Forest Service; Université du Québec à Montréal; Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Range (aeronautics); Computer science; Environmental niche modelling; Bayesian probability; Probabilistic logic; Scale (ratio); Statistical model; Species distribution; Tree (set theory); Model selection; Prior probability; Ecology; Machine learning; Data mining; Artificial intelligence; Geography; Mathematics; Biology; Ecological niche; Cartography; Habitat","score_opus":0.03638649063616298,"score_gpt":0.28703323240181927,"score_spread":0.25064674176565627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891455834","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":[0.98185414,0.00043735508,0.0034511064,0.00013463777,0.00027676683,0.00019491109,0.0003669243,0.00003162082,0.013252527],"genre_scores_gemma":[0.9982774,0.0000929921,0.0013794081,0.00008867129,0.00003300039,0.000026488133,0.00005946291,0.000002718267,0.00003981543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999331,0.000028804965,0.00016953208,0.0001983399,0.000077748206,0.00019456686],"domain_scores_gemma":[0.9996486,0.000058029393,0.000077672186,0.00008745686,0.000040069994,0.000088208835],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027762467,0.00009447764,0.00015114734,0.000026521247,0.000112861875,0.000019749425,0.000098440134,0.00014596176,0.0010074107],"category_scores_gemma":[0.000078621786,0.00007973163,0.000089509114,0.0003144534,0.0004516695,0.00008874429,0.00007800227,0.00005187346,0.000024450881],"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":[0.00007866929,0.0000914855,0.99344337,0.000009725194,0.000018888955,2.305105e-7,0.00029194332,0.000015465446,0.00028984432,0.0035823232,0.0011715513,0.0010064815],"study_design_scores_gemma":[0.00067785836,0.00030679497,0.97094923,0.0000134325455,0.000052537314,0.000005148747,0.0025188758,0.000641387,0.0011941849,0.007584766,0.015908455,0.00014730448],"about_ca_topic_score_codex":0.000085202424,"about_ca_topic_score_gemma":0.000821837,"teacher_disagreement_score":0.022494137,"about_ca_system_score_codex":0.00007536214,"about_ca_system_score_gemma":0.0000065853083,"threshold_uncertainty_score":0.9999058},"labels":[],"label_agreement":null},{"id":"W1892836325","doi":"10.1111/geb.12126","title":"Diversity increases carbon storage and tree productivity in <scp>S</scp>panish forests","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":301,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Environment Research Council; Fondation pour la Recherche sur la Biodiversite; Science Foundation Ireland","keywords":"Biodiversity; Evergreen; Ecology; Deciduous; Productivity; Mediterranean climate; Complementarity (molecular biology); Environmental science; Agroforestry; Geography; Biology; Economics","score_opus":0.0034355228902616295,"score_gpt":0.16677151993650624,"score_spread":0.1633359970462446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1892836325","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":[0.99650246,0.000113922906,0.0000016788604,0.00008433344,0.000052416955,0.00021300292,0.000043490385,0.000022431255,0.002966275],"genre_scores_gemma":[0.99973345,0.00009104796,0.00005696281,0.00006364062,0.0000079081,0.000010696599,0.000012195161,0.0000018336151,0.000022249922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992606,0.000056714216,0.00008721229,0.00028638612,0.00007618136,0.00023292819],"domain_scores_gemma":[0.9997303,0.000045400317,0.00003843861,0.00009328022,0.000004642447,0.00008793957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000903493,0.00010690029,0.00012481223,0.00004828725,0.00021035955,0.000016443935,0.000084773455,0.00011612254,0.000014896713],"category_scores_gemma":[0.000028729004,0.0000947734,0.000026573789,0.0002682661,0.00032868492,0.00015546853,0.000566041,0.00007734245,0.0000066840626],"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":[0.000003200743,0.00008037115,0.9987309,0.0000029333946,0.000010331251,0.000010500526,0.00006142024,0.000031924723,0.000036840338,0.000070088674,0.00010526293,0.0008562043],"study_design_scores_gemma":[0.00023620794,0.000071344795,0.9942516,0.0000022393774,0.0000151256045,0.000024603743,0.000041943284,0.0010241381,0.000005158408,0.00409618,0.00017794057,0.000053532356],"about_ca_topic_score_codex":0.010521741,"about_ca_topic_score_gemma":0.03691726,"teacher_disagreement_score":0.02639552,"about_ca_system_score_codex":0.00003288984,"about_ca_system_score_gemma":0.0000034256357,"threshold_uncertainty_score":0.9960673},"labels":[],"label_agreement":null},{"id":"W1893136293","doi":"10.1111/j.1466-8238.2011.00673.x","title":"Global patterns of stream detritivore distribution: implications for biodiversity loss in changing climates","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Geographic Society","keywords":"Biodiversity; Alpha diversity; Ecology; Detritivore; Guild; Latitude; Beta diversity; Tropics; Temperate climate; Diversity (politics); Species diversity; Gamma diversity; Ecosystem diversity; Ecosystem; Abundance (ecology); Geography; Habitat; Biology","score_opus":0.012673977803891394,"score_gpt":0.20538309821856113,"score_spread":0.19270912041466973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1893136293","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":[0.9918328,0.000032999873,0.00018816354,0.0002690828,0.000105329025,0.00019437746,0.006970975,0.00001705007,0.00038923355],"genre_scores_gemma":[0.99928945,0.0000598859,0.0001744298,0.00020507681,0.000004525422,0.0000100960515,0.00025436768,7.9017497e-7,0.000001375055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992204,0.000032327127,0.0001291313,0.00024963767,0.00003268141,0.00033583774],"domain_scores_gemma":[0.9997491,0.000020757445,0.000060931252,0.00009086873,0.00001334544,0.000064961074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012405342,0.00009617853,0.00014695023,0.000052137017,0.00020624537,0.0000048607053,0.0001604363,0.00013526727,0.00024369157],"category_scores_gemma":[0.000009796272,0.00009741264,0.0000739288,0.0005460001,0.00040388666,0.00010361319,0.00024136495,0.000034606604,0.000016256057],"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":[0.00006227454,0.00016581679,0.9961117,0.000012775917,0.00002064977,0.0000044462076,0.00005913787,0.0000020014784,0.000007127189,0.0026057635,0.0005533429,0.00039500036],"study_design_scores_gemma":[0.00050236675,0.0002138454,0.9925658,0.000003006519,0.000026823369,0.000011240203,0.00024967757,0.000011162802,0.00010741396,0.005899137,0.00031275832,0.00009672895],"about_ca_topic_score_codex":0.0015831254,"about_ca_topic_score_gemma":0.013355343,"teacher_disagreement_score":0.011772217,"about_ca_system_score_codex":0.00006663368,"about_ca_system_score_gemma":0.0000047094245,"threshold_uncertainty_score":0.74525946},"labels":[],"label_agreement":null},{"id":"W1896724858","doi":"10.1046/j.1466-822x.2002.00289.x","title":"The effects of productivity and seasonality on life history: comparing age at maturity among moose (<i>Alces alces</i>) populations","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Productivity; Biology; Seasonality; Ecology; Intraspecific competition; Juvenile; Range (aeronautics); Maturity (psychological); Demography","score_opus":0.014406182410522559,"score_gpt":0.20054528900274035,"score_spread":0.1861391065922178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1896724858","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":[0.9962262,0.00077641325,9.262623e-7,0.00096842257,0.00032107905,0.00024897885,0.000010278379,0.000024229726,0.0014235034],"genre_scores_gemma":[0.9993372,0.00009673741,0.000035005156,0.00042981846,0.000017971377,0.000020416086,0.000006028884,0.0000021201035,0.000054698306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990927,0.00018827278,0.00013808317,0.00028421683,0.00009598643,0.00020076314],"domain_scores_gemma":[0.9994793,0.00015530325,0.00011914439,0.0001556147,0.000007299084,0.00008332253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002416565,0.0001134704,0.00016196769,0.000016152555,0.00046313918,0.000008583033,0.00009855465,0.0001230754,0.00006197085],"category_scores_gemma":[0.00012437947,0.000087900844,0.000050068207,0.00016603687,0.0012887603,0.00010705029,0.00014965242,0.000098851655,0.000009706262],"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":[0.00004252728,0.00012104212,0.9929607,0.000014778259,0.000027746553,0.0000031815018,0.000048333393,0.0000049841988,0.000026638454,0.0008415093,0.0053984583,0.0005101049],"study_design_scores_gemma":[0.00024331173,0.00011471762,0.9956244,0.000005087783,0.000035908317,0.0000037902928,0.000007234312,0.00011710983,0.00001399229,0.0015712406,0.0021746233,0.000088544606],"about_ca_topic_score_codex":0.00039250273,"about_ca_topic_score_gemma":0.0089097,"teacher_disagreement_score":0.008517197,"about_ca_system_score_codex":0.00007518144,"about_ca_system_score_gemma":0.0000033863828,"threshold_uncertainty_score":0.4971822},"labels":[],"label_agreement":null},{"id":"W1900739122","doi":"10.1046/j.1466-822x.2003.00016.x","title":"Diversity at hydrothermal vents","year":2003,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":32,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Federation of University Women","keywords":"Species richness; Ecology; Gamma diversity; Alpha diversity; Abundance (ecology); Beta diversity; Species evenness; Ridge; Species diversity; Habitat; Hydrothermal vent; Biodiversity; Relative abundance distribution; Nestedness; Invertebrate; Benthic zone; Biology; Relative species abundance; Paleontology","score_opus":0.0095891910904737,"score_gpt":0.2053240716183578,"score_spread":0.1957348805278841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1900739122","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":[0.97332925,0.0005545334,4.928124e-7,0.0001454415,0.00030125532,0.00009624939,0.000053176882,0.000023499024,0.025496094],"genre_scores_gemma":[0.9990867,0.0001353962,0.000033783163,0.00055236113,0.000016501846,8.7145185e-7,0.000038626004,5.906208e-7,0.00013518913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990451,0.00016530184,0.00008744231,0.00025259194,0.00006197212,0.00038759975],"domain_scores_gemma":[0.9996728,0.000059086266,0.000029315885,0.00009004405,0.000014883683,0.00013387541],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028368476,0.000098193996,0.00012986477,0.00005439447,0.0012018828,0.0000055434184,0.00013046637,0.00020541112,0.0051051597],"category_scores_gemma":[0.000028780149,0.000080702855,0.00005886147,0.00019837791,0.000436497,0.00005048847,0.0001349418,0.00009240262,0.00028267977],"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":[0.00007338293,0.00001987881,0.9977959,0.000003280389,0.000046131125,0.00002661506,0.000011242617,0.000002213011,7.3190614e-7,0.00051282655,0.00043654858,0.0010712652],"study_design_scores_gemma":[0.0003239919,0.0002085113,0.9881414,5.763035e-7,0.0000119088445,0.00007392932,0.000012010357,0.000014945633,0.000008744778,0.0029972089,0.008114183,0.00009257661],"about_ca_topic_score_codex":0.00051831675,"about_ca_topic_score_gemma":0.0114148995,"teacher_disagreement_score":0.02575742,"about_ca_system_score_codex":0.000004300894,"about_ca_system_score_gemma":0.000014843403,"threshold_uncertainty_score":0.9958043},"labels":[],"label_agreement":null},{"id":"W1916359159","doi":"10.1111/j.1466-8238.2012.00764.x","title":"How are tree species distributed in climatic space? A simple and general pattern","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":84,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; National Center For Environmental Assessment","keywords":"Occupancy; Range (aeronautics); Bivariate analysis; Ecology; Precipitation; Ecological niche; Geography; Niche; Habitat; Abiotic component; Environmental niche modelling; Physical geography; Environmental science; Biology; Statistics; Mathematics; Meteorology","score_opus":0.013227188905223073,"score_gpt":0.21717846513801095,"score_spread":0.2039512762327879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1916359159","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":[0.99463296,0.00031234167,0.00002407976,0.0020796238,0.000099666366,0.00012485354,0.0008582194,0.00002367464,0.0018445674],"genre_scores_gemma":[0.9990373,0.0002526385,0.000023487137,0.000449999,0.000027399192,0.000014374535,0.00017366394,0.000002658902,0.000018470842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991046,0.000047564165,0.00010956965,0.00020554992,0.00008677931,0.0004459337],"domain_scores_gemma":[0.9996717,0.000019154659,0.000061592196,0.00009661023,0.000004397808,0.00014653929],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010947398,0.00013659711,0.00017037851,0.00003185458,0.00011044051,0.00004489652,0.00007404269,0.00011361031,0.0019465961],"category_scores_gemma":[0.000017906537,0.00011672327,0.000047410245,0.00033927357,0.00039285963,0.00014988858,0.0001707205,0.00006291464,0.000038481336],"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":[0.000008742748,0.00009181025,0.9949008,0.000007242478,0.00000882424,0.000005504807,0.00002900627,1.6448197e-7,0.000079000325,0.00053584325,0.003325759,0.0010072766],"study_design_scores_gemma":[0.00040643688,0.000050223774,0.98013204,0.0000023870778,0.000013682133,0.000019829882,0.0010345154,0.00001562442,0.000024212633,0.00029566285,0.017869903,0.00013547312],"about_ca_topic_score_codex":0.00020162856,"about_ca_topic_score_gemma":0.007053526,"teacher_disagreement_score":0.0147687765,"about_ca_system_score_codex":0.00009755703,"about_ca_system_score_gemma":0.0000014156202,"threshold_uncertainty_score":0.99896574},"labels":[],"label_agreement":null},{"id":"W1922980160","doi":"10.1111/j.1466-822x.2005.00164.x","title":"How many branchiopod crustacean species are there? Quantifying the components of underestimation","year":2005,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":92,"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":"Species richness; Biology; Taxon; Ecology; Invertebrate; Taxonomic rank; Species diversity; Biodiversity; Global biodiversity","score_opus":0.05233686642246591,"score_gpt":0.22395676743558857,"score_spread":0.17161990101312266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922980160","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":[0.9883706,0.0012978599,0.0000019014874,0.009257548,0.000042355096,0.00009645965,0.00017785383,0.000023984818,0.00073144946],"genre_scores_gemma":[0.9992341,0.0003710948,0.00003923437,0.00022260624,0.00008500411,0.000002386861,0.000019155836,2.4241032e-7,0.000026187638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944866,0.000045132318,0.000104246996,0.00014468157,0.0000795359,0.00017775618],"domain_scores_gemma":[0.99973863,0.00008228233,0.00010393466,0.000017777671,0.000029003853,0.00002838279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008636662,0.00009930127,0.00015085863,0.000011265531,0.00034642124,0.000041741303,0.00012828424,0.000069113594,0.000025573745],"category_scores_gemma":[0.000011526573,0.000032197328,0.00007949326,0.00026222368,0.00025181004,0.000067227695,0.00006498116,0.00005155743,0.0000035807993],"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":[0.00003166443,0.000054346805,0.9817103,0.0000053596045,0.000041417465,0.0000015071148,0.000012128675,5.5896686e-7,0.006898692,0.006600171,0.00041057018,0.0042332546],"study_design_scores_gemma":[0.00009755629,0.000090537,0.9880507,0.000010525487,0.000016694947,0.0000065078457,0.0005450133,0.000020990909,0.00012280956,0.00096005696,0.01000298,0.000075633885],"about_ca_topic_score_codex":0.00007101908,"about_ca_topic_score_gemma":0.008673371,"teacher_disagreement_score":0.0108635,"about_ca_system_score_codex":0.000005246003,"about_ca_system_score_gemma":0.0000010352671,"threshold_uncertainty_score":0.48399442},"labels":[],"label_agreement":null},{"id":"W1925233589","doi":"10.1111/j.1466-8238.2009.00499.x","title":"Does urbanization decrease diversity in ground beetle (Carabidae) assemblages?","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":208,"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":"Magyar Tudományos Akadémia; Hungarian Scientific Research Fund","keywords":"Urbanization; Biodiversity; Ecology; Geography; Species richness; Habitat; Species diversity; Ground beetle; Fauna; Diversity index; Biology","score_opus":0.009129284925643598,"score_gpt":0.19592707508555704,"score_spread":0.18679779015991343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925233589","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":[0.994897,0.00018172049,2.670379e-7,0.0037735926,0.00016677183,0.0001371802,0.00007725706,0.000047265974,0.00071892026],"genre_scores_gemma":[0.99815214,0.00024432264,0.000023534674,0.0014537422,0.00004273736,0.0000015636209,0.000060825387,1.3540101e-7,0.000020983258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917156,0.00006934241,0.00011369604,0.0002951403,0.00007093838,0.0002792981],"domain_scores_gemma":[0.999722,0.000058743313,0.00005121911,0.00003186105,0.0000399131,0.000096234624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013869184,0.00012554474,0.00016977523,0.000025651972,0.0006019529,0.000021372944,0.00014991523,0.00021245272,0.00010484051],"category_scores_gemma":[0.000042426633,0.000046278285,0.00007029133,0.00052566035,0.00019418057,0.00012100095,0.0001926393,0.00007738722,0.000016134944],"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":[0.00006266401,0.00015351956,0.99407417,0.0000016235169,0.00001773947,0.000023033113,0.000022746846,2.6803082e-7,0.00012750945,0.0009620587,0.00060475216,0.0039498964],"study_design_scores_gemma":[0.00023247839,0.0003923053,0.98912156,0.0000032048881,0.000022396602,0.0000043954497,0.00016701453,0.0000021973383,0.000015372765,0.008744582,0.0011640616,0.00013041969],"about_ca_topic_score_codex":0.000711414,"about_ca_topic_score_gemma":0.013715484,"teacher_disagreement_score":0.01300407,"about_ca_system_score_codex":0.000022096383,"about_ca_system_score_gemma":0.0000039983715,"threshold_uncertainty_score":0.76535624},"labels":[],"label_agreement":null},{"id":"W1931259328","doi":"10.1046/j.1466-822x.2003.00058.x","title":"Does climate determine broad‐scale patterns of species richness? A test of the causal link by natural experiment","year":2003,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Carleton University; University of Ottawa","funders":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Species richness; Spatial ecology; Ecology; Normalized Difference Vegetation Index; Quadrat; Precipitation; Vegetation (pathology); Geography; Climate change; Spatial variability; Body size and species richness; Environmental science; Physical geography; Climatology; Biology; Mathematics; Geology; Statistics; Meteorology","score_opus":0.003108007176276161,"score_gpt":0.20219378017745332,"score_spread":0.19908577300117716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1931259328","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":[0.99754256,0.0003779676,0.0000039261413,0.00030365304,0.00033168594,0.0001355489,0.0002129613,0.000007992038,0.0010837299],"genre_scores_gemma":[0.99918664,0.0004142723,0.00012425415,0.00018776166,0.000006302539,0.000013156717,0.0000058867654,0.0000021473725,0.000059587528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923694,0.00006699675,0.00020773469,0.00019314341,0.000080456346,0.00021473083],"domain_scores_gemma":[0.9996147,0.00008522954,0.00013804337,0.00012008684,0.00001291896,0.000028990677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110899324,0.00011365572,0.00018046635,0.000015999749,0.00017190767,0.000003861633,0.00012552891,0.00009461985,0.00015469753],"category_scores_gemma":[0.000030479016,0.0000620433,0.00007942593,0.00019367755,0.00079891004,0.000043113512,0.00015509916,0.0000661929,0.0000031623315],"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":[0.000009736184,0.00011865623,0.9962951,0.000011031489,0.000027799117,8.569816e-7,0.00007635921,0.0000028177035,0.0028666034,0.0003782806,0.000118051415,0.00009472483],"study_design_scores_gemma":[0.00027980912,0.00012337937,0.99357605,0.000005354947,0.000027483567,0.0000055289483,0.00019164289,0.00001930854,0.0046896855,0.00053753663,0.00046098325,0.00008323886],"about_ca_topic_score_codex":0.000050487193,"about_ca_topic_score_gemma":0.0021988072,"teacher_disagreement_score":0.0027190347,"about_ca_system_score_codex":0.000017530827,"about_ca_system_score_gemma":0.0000038935095,"threshold_uncertainty_score":0.29436174},"labels":[],"label_agreement":null},{"id":"W1932397188","doi":"10.1111/j.1466-8238.2012.00788.x","title":"Carbon storage in successional and plantation forest soils: a tropical analysis","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Environmental science; Soil water; Soil carbon; Tropics; Tropical and subtropical dry broadleaf forests; Agroforestry; Forestry; Precipitation; Ecology; Humid subtropical climate; Secondary forest; Geography; Soil science; Biology","score_opus":0.0067009197700891275,"score_gpt":0.21457597255324862,"score_spread":0.2078750527831595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1932397188","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":[0.9986155,0.00066153816,5.415792e-7,0.00023484662,0.00007732213,0.00006485741,0.000064136344,0.000018523842,0.00026272354],"genre_scores_gemma":[0.9994878,0.00013018973,0.00002952039,0.00020072554,0.000057926598,0.000008383579,0.00008355603,2.490379e-7,0.0000016064182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929696,0.00007426536,0.00012324091,0.00017451603,0.0000732775,0.00025771096],"domain_scores_gemma":[0.999738,0.00007391579,0.000039908253,0.000021541118,0.000013547247,0.00011309374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001096735,0.00009493714,0.00016321543,0.000046674,0.000074362484,0.000016556121,0.000050958537,0.00015334277,0.000019883206],"category_scores_gemma":[0.000011244398,0.000040980773,0.000068601395,0.0007489016,0.00011439847,0.00006114527,0.00004259234,0.00006641377,7.228484e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047308407,0.00006458249,0.99721974,0.0000018186128,0.000049443614,0.000003510776,0.000013453193,0.0000023234807,0.00009840959,0.000763829,0.0000049366618,0.0017306173],"study_design_scores_gemma":[0.00015926994,0.00009358097,0.9976475,0.0000017423795,0.00007954262,0.000011896037,0.000091179776,0.0011551916,0.000004652671,0.00059920707,0.000062550454,0.00009363415],"about_ca_topic_score_codex":0.0011776414,"about_ca_topic_score_gemma":0.03657766,"teacher_disagreement_score":0.035400018,"about_ca_system_score_codex":0.000011879904,"about_ca_system_score_gemma":0.0000029293547,"threshold_uncertainty_score":0.9810023},"labels":[],"label_agreement":null},{"id":"W1947629371","doi":"10.1046/j.1466-822x.2001.00257.x","title":"Ecological life zones of Saint Lucia","year":2001,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":15,"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 New Brunswick","funders":"","keywords":"Subtropics; Latitude; Precipitation; Geography; Longitude; Elevation (ballistics); Environmental science; Wet season; Physical geography; Ecology; Cartography; Meteorology; Biology; Mathematics","score_opus":0.004789778147235275,"score_gpt":0.19666886925203583,"score_spread":0.19187909110480056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947629371","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":[0.9898113,0.00012694423,0.000015417249,0.00081970886,0.00016558167,0.0001073606,0.000011209328,0.000033075114,0.008909398],"genre_scores_gemma":[0.9975669,0.00019197438,0.0013676252,0.0008168119,0.000026210855,8.5966707e-7,0.000005431818,0.0000016578812,0.000022531112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918246,0.00006035288,0.00016177644,0.00025134705,0.00009875562,0.00024529823],"domain_scores_gemma":[0.99966466,0.00003360135,0.00007164248,0.00010745399,0.000009109187,0.000113555514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011803708,0.000112184236,0.00017261753,0.000021183534,0.0000940223,0.000007470925,0.000120161094,0.00020731719,0.00048617553],"category_scores_gemma":[0.000045070858,0.00007642464,0.00008353713,0.00044088674,0.0005990321,0.00004039917,0.0001437498,0.00007377016,0.000079712925],"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":[0.000021758477,0.00011623913,0.99310523,0.0000016224138,0.000020307001,0.000018320627,0.000012108529,0.00004129543,0.00031281714,0.00049851346,0.0029775037,0.002874311],"study_design_scores_gemma":[0.00017596083,0.00019378505,0.98416364,0.0000020839955,0.000017072789,0.000073850875,0.00003398223,0.000025036818,0.000029773768,0.0024217046,0.012765366,0.00009771385],"about_ca_topic_score_codex":0.0003656609,"about_ca_topic_score_gemma":0.0010264836,"teacher_disagreement_score":0.009787862,"about_ca_system_score_codex":0.000033649165,"about_ca_system_score_gemma":0.0000040866885,"threshold_uncertainty_score":0.53232807},"labels":[],"label_agreement":null},{"id":"W1959774664","doi":"10.1111/geb.12158","title":"Multifaceted diversity–area relationships reveal global hotspots of mammalian species, trait and lineage diversity","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"European Research Council; Agence Nationale de la Recherche","keywords":"Ecoregion; Biome; Biodiversity; Species richness; Biodiversity hotspot; Phylogenetic diversity; Ecology; Global biodiversity; Geography; Species diversity; Habitat; Biology; Phylogenetic tree; Ecosystem","score_opus":0.013455160100010216,"score_gpt":0.19981937934935198,"score_spread":0.18636421924934177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1959774664","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":[0.9926691,0.00006454646,0.00010477068,0.00037552553,0.00012821701,0.0001421839,0.00027086612,0.000027263788,0.0062175062],"genre_scores_gemma":[0.9987976,0.00006456901,0.00081676856,0.00022012202,0.000009677825,0.0000019124886,0.000021723683,0.0000014911762,0.00006613133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902135,0.00015060969,0.00016951158,0.0003157996,0.00010518188,0.00023755377],"domain_scores_gemma":[0.9995774,0.00009363662,0.00009932218,0.00010552542,0.000019596922,0.00010453762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032656555,0.00013918444,0.00021666783,0.00003826515,0.0011604142,0.000007112596,0.00014995702,0.00021432775,0.00011811841],"category_scores_gemma":[0.000075443524,0.00013416346,0.00006841617,0.00035913335,0.0011828374,0.000105983425,0.0011694976,0.00010990751,0.000012813161],"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":[0.000048722675,0.00006541045,0.9966676,0.000008699463,0.000053048596,0.0000035758908,0.00016655406,0.00003272444,0.000013147863,0.0021511663,0.00041159333,0.00037774918],"study_design_scores_gemma":[0.000632089,0.00016892474,0.99475163,0.0000032821977,0.000075245174,0.000009376373,0.00018297792,0.00023584359,0.0000033830574,0.00356745,0.00023779507,0.0001320304],"about_ca_topic_score_codex":0.0005674011,"about_ca_topic_score_gemma":0.010984199,"teacher_disagreement_score":0.010416798,"about_ca_system_score_codex":0.000044289,"about_ca_system_score_gemma":0.000003778771,"threshold_uncertainty_score":0.8925085},"labels":[],"label_agreement":null},{"id":"W1961143416","doi":"10.1111/geb.12044","title":"Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service; University of British Columbia; Natural Resources Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; NordForsk; Academy of Finland","keywords":"Carbon flux; Phenology; Ecosystem; Environmental science; Productivity; Ecology; Carbon cycle; Primary production; Forest ecology; Flux (metallurgy); Physical geography; Atmospheric sciences; Geography; Biology; Geology","score_opus":0.0022577151730911104,"score_gpt":0.17661235643860954,"score_spread":0.17435464126551842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1961143416","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":[0.9972896,0.000031123564,0.0000062859353,0.00031249248,0.00010945805,0.00034329208,0.00018696174,0.000011724992,0.001709055],"genre_scores_gemma":[0.99977446,0.000009427352,0.00006966534,0.000051579882,0.000004407127,0.000042148116,0.000034525452,0.0000022617644,0.000011551449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988872,0.00016403016,0.00027045544,0.00034551512,0.00006546779,0.00026734287],"domain_scores_gemma":[0.99968535,0.000036203914,0.00007360841,0.0001502864,0.000007533423,0.00004699955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030458477,0.000119475706,0.00022669489,0.00007154926,0.000024413395,0.0000065184913,0.00012494167,0.00018681468,0.00015181367],"category_scores_gemma":[0.000018177201,0.00010530642,0.000035930894,0.0004255336,0.00021911018,0.00011199621,0.0001294319,0.00010535189,0.0000085817155],"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":[0.000024019862,0.00015713998,0.9983453,0.00000913425,0.0000107048545,0.0000022962013,0.00010677439,0.00008130122,0.00034648145,0.00010505673,0.00015438221,0.0006573737],"study_design_scores_gemma":[0.00039097178,0.00011662534,0.9893987,0.0000054726897,0.000006026248,0.000010414109,0.00002901899,0.004660323,0.00006205749,0.0050450685,0.00017240043,0.000102912185],"about_ca_topic_score_codex":0.004541289,"about_ca_topic_score_gemma":0.027444134,"teacher_disagreement_score":0.022902844,"about_ca_system_score_codex":0.00006941179,"about_ca_system_score_gemma":0.0000070058277,"threshold_uncertainty_score":0.9903025},"labels":[],"label_agreement":null},{"id":"W1964193515","doi":"10.1111/j.1466-822x.2006.00202.x","title":"Embedding food webs in ecological landscapes","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecology; Food web; Subsidy; Habitat; Trophic level; Trophic cascade; Ecotone; Biomass (ecology); Macroecology; Geography; Biology; Biodiversity; Economics","score_opus":0.0032846887061718268,"score_gpt":0.20569099671779623,"score_spread":0.2024063080116244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964193515","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":[0.97944075,0.00010277507,0.000010365635,0.0003792472,0.000106591906,0.00011585905,0.0000151476825,0.00003394122,0.019795347],"genre_scores_gemma":[0.9987673,0.000036359503,0.0005858416,0.00052300136,0.000028166723,0.000022609793,0.000012904504,0.0000027324863,0.000021050359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988227,0.00009572381,0.00022137536,0.00036567973,0.000078280136,0.00041624845],"domain_scores_gemma":[0.99971676,0.00006241219,0.00005796936,0.0001103054,0.000004192181,0.000048342867],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022547439,0.0001321705,0.00021576494,0.00008134138,0.000120438184,0.000015585165,0.00016276419,0.0002239991,0.0012440401],"category_scores_gemma":[0.000020399611,0.00011254187,0.00008189114,0.0005776743,0.0003066334,0.00007949177,0.00020800749,0.000102114696,0.00015062452],"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":[0.000011919971,0.00015943557,0.99655914,0.0000011972435,0.000014532541,0.000025392288,0.0000047681883,0.0004110705,0.000032973534,0.0012179912,0.0012419712,0.00031959388],"study_design_scores_gemma":[0.00037881875,0.00024071064,0.9817875,0.0000010001816,0.000017979894,0.000024661353,0.000027768585,0.00033768787,0.000020030277,0.012142471,0.0048881606,0.00013320442],"about_ca_topic_score_codex":0.00018179971,"about_ca_topic_score_gemma":0.03294276,"teacher_disagreement_score":0.03276096,"about_ca_system_score_codex":0.000059316553,"about_ca_system_score_gemma":0.000004663004,"threshold_uncertainty_score":0.99966896},"labels":[],"label_agreement":null},{"id":"W1969351107","doi":"10.1111/j.1466-8238.2007.00336.x","title":"Soil nitrogen and carbon heterogeneity in woodlands and grasslands: contrasts between temperate and tropical regions","year":2007,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":25,"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 Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Eesti Teadusfondi","keywords":"Woodland; Spatial heterogeneity; Vegetation (pathology); Grassland; Temperate climate; Ecology; Environmental science; Vegetation type; Temperate rainforest; Soil carbon; Soil water; Agroforestry; Ecosystem; Biology","score_opus":0.008729555135824628,"score_gpt":0.21904112112019464,"score_spread":0.21031156598437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969351107","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":[0.9973901,0.0016017788,5.40872e-7,0.0005245301,0.000047435133,0.00015537732,0.00010267807,0.000033117307,0.00014443806],"genre_scores_gemma":[0.99882436,0.00076970574,0.000023986073,0.00026415964,0.000074487565,0.0000061005817,0.000035170404,9.1955394e-7,0.0000011313213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988131,0.000084491665,0.00022473586,0.00039583878,0.00007734991,0.00040450454],"domain_scores_gemma":[0.99949914,0.00014714549,0.000053683096,0.000039514387,0.000026192609,0.00023432511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481528,0.00019031845,0.00030144994,0.000043104294,0.0001671548,0.000044043878,0.000063702835,0.00029693797,0.0000019869249],"category_scores_gemma":[0.000019810985,0.0000925719,0.00004854228,0.00032884025,0.00040827092,0.000044568136,0.00009513294,0.0001351942,2.2688229e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078480174,0.00003140214,0.99441004,0.0000048467155,0.000039614217,0.000017356975,0.000013523006,2.8711359e-8,0.000750889,0.0002533556,0.000004893903,0.0043955687],"study_design_scores_gemma":[0.00064648717,0.00039373222,0.9951843,0.000006863768,0.000040271694,0.00007898638,0.00010554841,0.00004209444,0.00014079307,0.003075641,0.00010348335,0.00018179283],"about_ca_topic_score_codex":0.0010273635,"about_ca_topic_score_gemma":0.03909723,"teacher_disagreement_score":0.038069867,"about_ca_system_score_codex":0.000011005626,"about_ca_system_score_gemma":0.00000509998,"threshold_uncertainty_score":0.97843677},"labels":[],"label_agreement":null},{"id":"W1971483182","doi":"10.1111/j.1466-8238.2006.00220.x","title":"A wealth of information on seagrass","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seagrass; Geography; Ecology; Niche; Index (typography); World Wide Web; Ecosystem; Computer science; Biology","score_opus":0.002881662896986756,"score_gpt":0.17271206107785997,"score_spread":0.1698303981808732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971483182","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":[0.902438,0.00008653905,0.0000075032344,0.00020717531,0.00012311291,0.000065713044,0.00047480594,0.000014912707,0.09658224],"genre_scores_gemma":[0.9988819,0.000044620578,0.0000807179,0.0005403227,0.000021426793,3.6105618e-7,0.00041254246,1.8907096e-7,0.00001794322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956244,0.00002901556,0.0001356258,0.000078620375,0.000046399877,0.00014790751],"domain_scores_gemma":[0.9998051,0.00003472637,0.00006341761,0.000047133948,0.000016573833,0.00003308472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008752766,0.0000614746,0.00009998893,0.00007196875,0.00005500988,0.0000071916265,0.000054761324,0.00008379542,0.00016737598],"category_scores_gemma":[0.000004824623,0.000045296354,0.000033806187,0.00019731456,0.00010562793,0.00007134541,0.000008075627,0.00003828696,0.000035815723],"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":[0.00006581669,0.000011382085,0.9501638,0.0000072503885,0.000007424945,0.0000013772719,0.0000015965129,0.000014332103,0.0000011020038,0.0027831863,0.0012859001,0.04565683],"study_design_scores_gemma":[0.00016275373,0.00040600612,0.9732394,0.0000016564608,0.000005270925,0.000013422673,0.00001470279,0.000051838062,0.000008235993,0.0049889097,0.021058228,0.000049541173],"about_ca_topic_score_codex":0.015544861,"about_ca_topic_score_gemma":0.020589476,"teacher_disagreement_score":0.09656429,"about_ca_system_score_codex":6.794158e-7,"about_ca_system_score_gemma":0.000012791212,"threshold_uncertainty_score":0.9972822},"labels":[],"label_agreement":null},{"id":"W1974839057","doi":"10.1111/j.1466-822x.2004.00120.x","title":"An extended probabilistic approach of plant vital attributes: an application to European pollen records at 0 and 6 ka","year":2004,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Centre National de la Recherche Scientifique; Lunds Universitet","keywords":"Pollen; Biome; Taxon; Abiotic component; Probabilistic logic; Vegetation (pathology); Ecology; Biology; Mathematics; Statistics; Ecosystem","score_opus":0.011020491924597928,"score_gpt":0.22839728598567582,"score_spread":0.2173767940610779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974839057","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":[0.99597937,0.00033826433,0.00009397888,0.0002917769,0.00006500453,0.00038961117,0.00078396715,0.00003452349,0.0020235232],"genre_scores_gemma":[0.99735636,0.00007466034,0.0014857757,0.00020068073,0.000025003437,0.0000061113133,0.0008463461,0.0000018818903,0.0000032136925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860764,0.00026748874,0.00020353275,0.0004666552,0.00008630005,0.00036838494],"domain_scores_gemma":[0.999364,0.000053580323,0.00006429382,0.00020486023,0.000043201704,0.00027002208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005003597,0.00014388554,0.00023035383,0.00012631595,0.00027065305,0.000014542974,0.00020424505,0.00017139786,0.000047036414],"category_scores_gemma":[0.000024986048,0.0001187426,0.000035763722,0.00034230345,0.00060931954,0.00010016904,0.000039851133,0.00010499335,0.000031129584],"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":[0.00025677457,0.00012300765,0.99708027,0.000024411918,0.00002903817,0.000013024604,0.00008206557,0.00012652721,0.000022368893,0.00083547935,0.000021334483,0.0013857123],"study_design_scores_gemma":[0.0004870039,0.00141598,0.99340284,0.0000035159192,0.000023313125,0.00026472608,0.000115283314,0.00016791612,0.000012805589,0.0038258166,0.00014599615,0.00013481572],"about_ca_topic_score_codex":0.00049472484,"about_ca_topic_score_gemma":0.011728004,"teacher_disagreement_score":0.0112332795,"about_ca_system_score_codex":0.0000022620538,"about_ca_system_score_gemma":0.00002848586,"threshold_uncertainty_score":0.6544502},"labels":[],"label_agreement":null},{"id":"W1975012578","doi":"10.1111/j.1466-8238.2008.00389.x","title":"Data sets matter, but so do evolution and ecology","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"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":"Ecology; Ecological niche; Niche; Fire ant; Biology; Range (aeronautics); Environmental niche modelling; Biogeography; Invasive species; Hymenoptera; Habitat","score_opus":0.01049871324784508,"score_gpt":0.24336217528375406,"score_spread":0.232863462035909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975012578","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":[0.9960778,0.0020239935,0.00002309216,0.00033176522,0.00037854398,0.00016917854,0.0005817019,0.000019940357,0.0003939891],"genre_scores_gemma":[0.9967312,0.0010534334,0.00029385838,0.0011010945,0.00010492497,0.000017786982,0.0006189767,0.0000066762173,0.000072006354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869317,0.000090051944,0.00019236266,0.0005880121,0.000047725352,0.0003886975],"domain_scores_gemma":[0.99940276,0.000013719249,0.00007431754,0.00036053348,0.00004151255,0.00010718108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608986,0.00019486711,0.0002072986,0.00006794156,0.00053765933,0.000016376644,0.00023151703,0.00050921045,0.00008037996],"category_scores_gemma":[0.000018666806,0.00018055057,0.000057583005,0.00012546554,0.0009454119,0.0000135396285,0.00041687005,0.00011384872,0.00003502817],"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":[0.00010626944,0.00013364205,0.98565274,0.000008654144,0.00006786281,0.000034006433,0.000007272453,2.6423515e-7,0.00603485,0.00017988059,0.0071555763,0.00061895855],"study_design_scores_gemma":[0.0006835738,0.0004904849,0.9890051,0.0000021676365,0.00006317011,0.00093008846,0.00003492257,0.0000068642307,0.00044569458,0.0005119128,0.0076018367,0.00022419124],"about_ca_topic_score_codex":0.00005827299,"about_ca_topic_score_gemma":0.00063020026,"teacher_disagreement_score":0.0055891555,"about_ca_system_score_codex":0.000007972963,"about_ca_system_score_gemma":0.00006378626,"threshold_uncertainty_score":0.7362639},"labels":[],"label_agreement":null},{"id":"W2003759963","doi":"10.1111/j.1466-8238.2007.00331.x","title":"Can niche‐based distribution models outperform spatial interpolation?","year":2007,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"U.S. Geological Survey; National Wildlife Research Center; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Biological dispersal; Spatial analysis; Ecology; Habitat; Breeding bird survey; Geography; Environmental niche modelling; Species distribution; Spatial ecology; Population; Abundance (ecology); Niche; Statistics; Ecological niche; Mathematics; Biology","score_opus":0.010927738640784987,"score_gpt":0.23194326191311213,"score_spread":0.22101552327232715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003759963","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":[0.980944,0.000031348827,0.002984313,0.000763938,0.00022499498,0.00013973349,0.0008391538,0.000055297853,0.0140172625],"genre_scores_gemma":[0.99850905,0.000017107091,0.000052661555,0.00078185706,0.00001915633,0.000006476113,0.00060384464,0.0000023208524,0.0000075123276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991377,0.000018484168,0.00016310532,0.00023947703,0.000116596675,0.0003246581],"domain_scores_gemma":[0.99967813,0.000019240839,0.00005714519,0.000104645675,0.0000130088865,0.00012779534],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021340394,0.00011616969,0.000103251725,0.000022997323,0.00019639982,0.000019054349,0.000095607036,0.00014205399,0.0045206863],"category_scores_gemma":[0.000011080396,0.000105619496,0.0000706428,0.00031943968,0.00033912977,0.00007575856,0.000083384955,0.00006858961,0.00007780552],"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":[0.00006254821,0.000082929495,0.99265164,0.000002224794,0.000009239072,0.0000036064641,0.00001421706,0.000007768831,0.000079541205,0.00317972,0.001571453,0.0023351007],"study_design_scores_gemma":[0.00040320004,0.00011963931,0.99198365,0.0000016629762,0.000016446935,0.0000068997892,0.00022639957,0.0011279602,0.00012083867,0.0018550374,0.0040078587,0.00013042078],"about_ca_topic_score_codex":0.0010998208,"about_ca_topic_score_gemma":0.015131699,"teacher_disagreement_score":0.017565107,"about_ca_system_score_codex":0.00020012939,"about_ca_system_score_gemma":0.000006403944,"threshold_uncertainty_score":0.9963893},"labels":[],"label_agreement":null},{"id":"W2019919720","doi":"10.1046/j.1466-822x.2002.00277.x","title":"Seed dispersal facilitation and geographic consistency in bird–fruit abundance patterns","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":54,"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":"Phenology; Biological dispersal; Ecology; Biology; Abundance (ecology); Seed dispersal; Frugivore; Facilitation; Habitat; Population","score_opus":0.009235395067205908,"score_gpt":0.2148805948974725,"score_spread":0.20564519983026658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019919720","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":[0.9969985,0.0008400009,0.000005025151,0.00063011446,0.000098999335,0.0001775301,0.0000634158,0.000046630386,0.0011397785],"genre_scores_gemma":[0.99851054,0.0009420798,0.000081854225,0.00040544092,0.000006334651,0.00002790042,0.000003684042,0.0000035489136,0.00001861572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989351,0.000067273555,0.00019090595,0.00039606326,0.00007654044,0.00033411378],"domain_scores_gemma":[0.99973047,0.000048995105,0.000051402298,0.000086152955,0.0000066509374,0.00007633306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012768713,0.00015840303,0.00019913983,0.00007017272,0.00025931565,0.0000133225385,0.000081812286,0.00017316417,0.00046146824],"category_scores_gemma":[0.000018259598,0.00014224704,0.000055381606,0.00034993608,0.0011606333,0.00012473189,0.00013570204,0.000112999754,0.00007313713],"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":[0.000019492274,0.000120939025,0.9966122,0.0000064763976,0.000017038816,0.00002092033,0.00014527657,9.861174e-7,0.000057664653,0.00029051414,0.00006478334,0.0026437251],"study_design_scores_gemma":[0.00045500984,0.00028307195,0.9976655,0.0000049914997,0.000028121623,0.000024207331,0.00031178966,0.00005748683,0.000002130744,0.0006132511,0.00039271364,0.00016170343],"about_ca_topic_score_codex":0.0011910854,"about_ca_topic_score_gemma":0.027204586,"teacher_disagreement_score":0.026013501,"about_ca_system_score_codex":0.000024709343,"about_ca_system_score_gemma":0.0000016782998,"threshold_uncertainty_score":0.9905464},"labels":[],"label_agreement":null},{"id":"W2021783977","doi":"10.1111/j.1466-822x.2006.00201.x","title":"Insects' strategies for survival","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","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 Ottawa","funders":"","keywords":"Ecology; Biology; Insect; Style (visual arts); History; Archaeology","score_opus":0.008179465061590896,"score_gpt":0.20888806685682357,"score_spread":0.20070860179523267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021783977","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":[0.99350363,0.00015599825,0.00001742365,0.00039967976,0.00025149592,0.00017636004,0.00018267083,0.000066450266,0.00524628],"genre_scores_gemma":[0.99918014,0.000018399078,0.00005837567,0.00040003593,0.00014551583,0.000019192386,0.00016277934,2.620692e-7,0.000015316578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942577,0.000039546627,0.0000949115,0.0001767024,0.000044387303,0.00021870415],"domain_scores_gemma":[0.99978316,0.000087032975,0.000032932527,0.000019190007,0.000041157593,0.0000365543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010564386,0.000089379944,0.00010623416,0.0000098095,0.00022398462,0.000048240177,0.00006646346,0.00012293477,0.00006064731],"category_scores_gemma":[0.000007797909,0.000035952926,0.00007342175,0.00028371188,0.00010553856,0.000060526665,0.00001985989,0.000027129794,0.0000040036393],"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":[0.00008860004,0.000116350995,0.8566142,0.000011459542,0.000019859799,0.0000028786492,0.0000055906535,0.000003258141,0.005552349,0.12632376,0.002850868,0.00841085],"study_design_scores_gemma":[0.0001910802,0.0003105049,0.9512642,0.0000015610933,0.000009290114,0.0000048604993,0.00009067505,0.000019747367,0.000086848,0.028119378,0.019800495,0.000101340804],"about_ca_topic_score_codex":0.0005241488,"about_ca_topic_score_gemma":0.007371369,"teacher_disagreement_score":0.09820438,"about_ca_system_score_codex":0.000004553967,"about_ca_system_score_gemma":0.0000059332715,"threshold_uncertainty_score":0.4113397},"labels":[],"label_agreement":null},{"id":"W2027115911","doi":"10.1111/j.1466-822x.2004.00095.x","title":"Summer vegetation, deglaciation and the anomalous bird diversity gradient in eastern North America","year":2004,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":50,"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":"Species richness; Geography; Vegetation (pathology); Ecology; Physical geography; Biomass (ecology); Glacial period; Normalized Difference Vegetation Index; Climate change; Biology","score_opus":0.0050687439218887785,"score_gpt":0.192743471489888,"score_spread":0.18767472756799922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027115911","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":[0.99756247,0.0002822476,0.000068175425,0.0011807451,0.000091979164,0.00017084254,0.0000055761834,0.000019078105,0.0006189043],"genre_scores_gemma":[0.9984649,0.0003479101,0.0001201012,0.0010384569,0.000005264922,0.000012792692,0.0000051227526,0.0000016402918,0.0000038410035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993709,0.000067840716,0.00011778633,0.00020710428,0.000059679092,0.00017670135],"domain_scores_gemma":[0.99978477,0.000044723343,0.0000664424,0.0000590561,0.0000082587085,0.000036766167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012196916,0.00008858424,0.00012045366,0.00003866935,0.00044362733,0.000008736696,0.000074336,0.00006121215,0.0000104563715],"category_scores_gemma":[0.000018079816,0.00006565969,0.00003294652,0.0003443501,0.0010541003,0.000084631145,0.00024341252,0.000063725594,0.000037296395],"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":[0.000047546764,0.000048668455,0.9968766,0.000002601108,0.000024502544,0.0000046031596,0.0005888838,0.00032383448,3.3432997e-7,0.0011152739,0.000009089732,0.00095806643],"study_design_scores_gemma":[0.0012223988,0.00007946329,0.9880224,0.0000016167699,0.000023985713,0.0000050133103,0.00013307405,0.00018364488,1.7850567e-7,0.010187464,0.000066580345,0.00007420129],"about_ca_topic_score_codex":0.0019703587,"about_ca_topic_score_gemma":0.12847304,"teacher_disagreement_score":0.12650268,"about_ca_system_score_codex":0.000043059074,"about_ca_system_score_gemma":0.0000040025047,"threshold_uncertainty_score":0.8874301},"labels":[],"label_agreement":null},{"id":"W2028950037","doi":"10.1046/j.1466-822x.2002.03104.x","title":"Unpicking the patchwork","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Peatlands and Wetlands Ecology","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":"Ecology; Geography; Landscape ecology; Sociology; Biology","score_opus":0.0063351904877179755,"score_gpt":0.18897377825336514,"score_spread":0.18263858776564718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028950037","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":[0.958046,0.0003099357,0.000009473779,0.0027898578,0.00019690486,0.00009052968,0.000012131421,0.00003179192,0.038513362],"genre_scores_gemma":[0.9973208,0.0002607996,0.000076764285,0.002219805,0.000037329537,0.000010515377,0.000003363599,0.0000019512538,0.00006870559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929166,0.000051921208,0.00009939499,0.00020967702,0.000060613198,0.0002867521],"domain_scores_gemma":[0.99972916,0.00004350015,0.000036000234,0.00012665881,0.0000025871996,0.00006210621],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000120178054,0.000092764225,0.00009794324,0.00001402734,0.00030910267,0.000017281905,0.0001543622,0.000103073005,0.0021556604],"category_scores_gemma":[0.000009635683,0.00005713351,0.000055273544,0.0003028044,0.00044239944,0.00004260217,0.00014776684,0.00007790008,0.00023227677],"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":[0.0000041420226,0.000030764317,0.97852933,5.6590767e-7,0.000013375356,0.000008822267,0.000028522934,0.0000037270747,0.000007589112,0.0004434771,0.013072544,0.007857134],"study_design_scores_gemma":[0.00018858937,0.000089371555,0.9351616,8.7426844e-7,0.000013861993,0.000042201722,0.00002325747,0.000086563035,0.000002305985,0.0033354016,0.060976885,0.00007912436],"about_ca_topic_score_codex":0.00017366844,"about_ca_topic_score_gemma":0.0014919486,"teacher_disagreement_score":0.047904342,"about_ca_system_score_codex":0.00001515136,"about_ca_system_score_gemma":9.420789e-7,"threshold_uncertainty_score":0.9987565},"labels":[],"label_agreement":null},{"id":"W2031661055","doi":"10.1111/j.1466-822x.2006.00256.x","title":"Simulated ecosystem threshold responses to co-varying temperature, precipitation and atmospheric CO2 within a region of Amazonia","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Climate variability and models","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Amazon rainforest; Ecosystem; Precipitation; Ecology; Environmental science; Atmospheric sciences; Geography; Climatology; Physical geography; Biology; Meteorology; Geology","score_opus":0.007919601357020094,"score_gpt":0.22816757450375497,"score_spread":0.22024797314673486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031661055","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":[0.99842924,0.00009939245,0.000020187508,0.00018347225,0.00008138236,0.000346875,0.000090207235,0.00003425892,0.00071501045],"genre_scores_gemma":[0.9989093,0.00002934887,0.00080796,0.00019872517,0.000009456869,0.000008893931,0.000020052717,0.0000038876865,0.000012390986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901813,0.00009912385,0.00025504568,0.00033420813,0.0000951963,0.00019829207],"domain_scores_gemma":[0.99959904,0.00008620836,0.000094345836,0.00013296686,0.000015894904,0.00007155551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002750687,0.00012837323,0.00019067,0.000020457675,0.00015050796,0.000022623637,0.00007356186,0.00017462503,0.000027802764],"category_scores_gemma":[0.000025563299,0.000112712456,0.00004171568,0.0004559999,0.00020885079,0.00010268564,0.000079879224,0.00005860928,0.0000060247035],"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":[0.00031243512,0.00008359333,0.9892309,0.000022265867,0.000015927037,0.000006860877,0.0001029601,0.006332388,0.002989305,0.0004941964,0.0003224288,0.00008677875],"study_design_scores_gemma":[0.0005414791,0.00039598983,0.9911683,0.000024545583,0.00003379092,0.0000374115,0.00007129084,0.0032236392,0.0003487418,0.0036159984,0.00036858037,0.00017020464],"about_ca_topic_score_codex":0.0006852054,"about_ca_topic_score_gemma":0.0011919903,"teacher_disagreement_score":0.003121802,"about_ca_system_score_codex":0.000035735655,"about_ca_system_score_gemma":0.00000812233,"threshold_uncertainty_score":0.45962805},"labels":[],"label_agreement":null},{"id":"W2049298716","doi":"10.1046/j.1466-822x.2002.00308.x","title":"Climate change and modelled biome representation in Canada's national park system: implications for system planning and park mandates","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact; University of Toronto; University of Waterloo","funders":"","keywords":"Biome; National park; Taiga; Tundra; Climate change; Geography; Vegetation (pathology); Environmental resource management; Environmental science; Physical geography; Ecology; Ecosystem; Forestry","score_opus":0.041203509027979125,"score_gpt":0.25290925090728744,"score_spread":0.21170574187930832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049298716","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":[0.99271387,0.0007684873,0.0000123821055,0.00093680964,0.000079801415,0.00041232724,0.0017594231,0.000025988571,0.0032908989],"genre_scores_gemma":[0.9991358,0.0003051692,0.00004332674,0.0001695476,0.000012617995,0.00018522293,0.00014440737,0.0000024916453,0.0000014424907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923193,0.000029760868,0.00016360336,0.00026967993,0.00007124284,0.00023378262],"domain_scores_gemma":[0.9997363,0.000044815235,0.00006815176,0.000059133024,0.000013868465,0.00007771365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011763859,0.00009471247,0.000132188,0.00004495109,0.00022797906,0.000024967603,0.000049782957,0.00006693933,0.000086978675],"category_scores_gemma":[0.0000073033457,0.000089143134,0.000019575633,0.0002634269,0.000117780684,0.00008595396,0.000067639456,0.000027114282,0.0000037172158],"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":[0.000017501461,0.000015421614,0.993912,0.000043757642,0.000009238515,0.0000018546033,0.00003720144,0.0000062659637,0.000024531226,0.004581252,0.0007526476,0.00059833756],"study_design_scores_gemma":[0.0004887664,0.000030641797,0.99381286,0.000016076552,0.000015256229,0.000038495986,0.0014068037,0.0033907162,0.000004702894,0.000122053934,0.0005744869,0.00009915546],"about_ca_topic_score_codex":0.039711658,"about_ca_topic_score_gemma":0.17708963,"teacher_disagreement_score":0.13737798,"about_ca_system_score_codex":0.0003178241,"about_ca_system_score_gemma":0.000005468381,"threshold_uncertainty_score":0.966683},"labels":[],"label_agreement":null},{"id":"W2056280096","doi":"10.1111/j.1466-8238.2010.00532.x","title":"What does species richness tell us about functional trait diversity? Predictions and evidence for responses of species and functional trait diversity to land‐use change","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":461,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Trait; Ecology; Species richness; Context (archaeology); Ecosystem; Environmental change; Global change; Biodiversity; Functional diversity; Environmental resource management; Diversity (politics); Disturbance (geology); Biology; Species diversity; Climate change; Environmental science; Computer science","score_opus":0.035732106865952,"score_gpt":0.23656798828232903,"score_spread":0.20083588141637704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056280096","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":[0.9962853,0.00027020034,0.00016646468,0.0012411046,0.00083743164,0.00034700104,0.00073771196,0.000023078488,0.00009168255],"genre_scores_gemma":[0.99792874,0.0009341629,0.00032875047,0.00046977735,0.000059524362,0.000030353774,0.000019159002,0.0000022229763,0.00022728996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910796,0.000046941957,0.00013913182,0.00036529364,0.00012529727,0.00021537124],"domain_scores_gemma":[0.9992268,0.00046120377,0.00007790737,0.000082092025,0.000047433405,0.00010455797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024177687,0.00014185141,0.00018842616,0.00010248275,0.001300115,0.000037041867,0.00008632797,0.00016014218,0.00023233659],"category_scores_gemma":[0.00012078177,0.000115950206,0.000068029,0.00023474803,0.0013921354,0.00063455,0.0007067098,0.00009770153,0.0000023385371],"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":[0.00045932262,0.00007556561,0.9968587,0.000019603423,0.000079701436,0.0000017025454,0.00041231856,0.000009488921,0.00016952341,0.0013947794,0.00034869302,0.00017059298],"study_design_scores_gemma":[0.00046923695,0.00027991756,0.995783,0.0000124815515,0.00010536829,0.000014562913,0.00039630226,0.000033927754,0.000011317201,0.0014524627,0.0013108033,0.00013062329],"about_ca_topic_score_codex":0.00021895194,"about_ca_topic_score_gemma":0.018984834,"teacher_disagreement_score":0.018765882,"about_ca_system_score_codex":0.000020920248,"about_ca_system_score_gemma":0.000007739094,"threshold_uncertainty_score":0.9999565},"labels":[],"label_agreement":null},{"id":"W2061436932","doi":"10.1111/j.1466-8238.2009.00454.x","title":"Fine‐scale structure and cross‐taxon congruence of bird and beetle assemblages in an old‐growth boreal forest mosaic","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Université Laval; Ducks Unlimited Canada; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Nestedness; Ecology; Interspecific competition; Habitat; Biology; Community structure; Boreal; Geography","score_opus":0.003399490058626269,"score_gpt":0.2271157478468,"score_spread":0.22371625778817372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061436932","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":[0.9987376,0.00026833237,0.0000032606652,0.00033674002,0.000047854934,0.00012649587,0.00007125979,0.00001706156,0.0003914392],"genre_scores_gemma":[0.99910736,0.00020040199,0.0003260001,0.00033647747,0.0000060416687,0.000003877383,0.000013783118,0.000002197549,0.000003878452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923176,0.000046387046,0.00016156682,0.00029213872,0.00005403738,0.00021411633],"domain_scores_gemma":[0.99972916,0.00004139519,0.00006960108,0.00007392325,0.000018444784,0.000067452085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010769374,0.00012136261,0.00018747781,0.00005020715,0.00014462268,0.000015054233,0.00007643522,0.00017573201,0.000015303276],"category_scores_gemma":[0.000023964323,0.000105850166,0.000020726351,0.0002462107,0.00096165563,0.00016201934,0.00007772671,0.00008159449,8.647989e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036457717,0.000054725853,0.99732006,0.000007599185,0.000008883324,0.0000057098546,0.000070758906,0.000022694034,0.0002902528,0.0011685194,0.000033876557,0.0009804739],"study_design_scores_gemma":[0.00044393365,0.00042575874,0.97776884,0.000003711845,0.000013735947,0.000015860773,0.000044169454,0.00018930799,0.000056446475,0.020923313,0.000010080443,0.00010484953],"about_ca_topic_score_codex":0.00068144005,"about_ca_topic_score_gemma":0.10892907,"teacher_disagreement_score":0.10824762,"about_ca_system_score_codex":0.000011864001,"about_ca_system_score_gemma":0.0000043168775,"threshold_uncertainty_score":0.90733063},"labels":[],"label_agreement":null},{"id":"W2070388047","doi":"10.1046/j.1466-822x.2002.00278.x","title":"Net primary productivity mapped for Canada at 1‐km resolution","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":172,"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":"Canadian Forest Service; Agriculture and Agri-Food Canada; University of Toronto","keywords":"Primary production; Environmental science; Boreal ecosystem; Advanced very-high-resolution radiometer; Taiga; Boreal; Productivity; Ecosystem; Biomass (ecology); Precipitation; Leaf area index; Understory; Climatology; Land cover; Photosynthetically active radiation; Atmospheric sciences; Physical geography; Satellite; Forestry; Geography; Meteorology; Ecology; Photosynthesis; Land use","score_opus":0.0041484455996511896,"score_gpt":0.15979097072797785,"score_spread":0.15564252512832666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070388047","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":[0.9922439,0.00014121218,0.00002072421,0.0008638398,0.00017005895,0.00021227247,0.0004539458,0.000017722694,0.0058763516],"genre_scores_gemma":[0.99882877,0.000056466608,0.00032576048,0.000388859,0.000017287155,0.000019822386,0.00011161881,0.0000020887728,0.000249343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993647,0.000023974319,0.00008772692,0.00023152542,0.000071147115,0.00022097265],"domain_scores_gemma":[0.99979496,0.000014643837,0.000037121383,0.000091447124,0.0000041085327,0.000057704154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007786302,0.000079161706,0.000086139524,0.000014333141,0.00020303151,0.000006496786,0.000062415646,0.00007667378,0.00011895968],"category_scores_gemma":[0.000005554609,0.000070569324,0.00003232175,0.00016679204,0.00014474012,0.000052274972,0.00008233893,0.000036042813,0.0000085868105],"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":[0.000022721237,0.00003808884,0.9823187,0.0000045501547,0.000014050441,0.0000033673589,0.0000060801244,0.00015821257,0.000100028425,0.00013873875,0.015417424,0.0017780403],"study_design_scores_gemma":[0.00022194225,0.000061368155,0.91313034,0.0000010420273,0.000016938804,0.000030656538,0.000001963287,0.0026528237,0.000010056823,0.00070091453,0.08306709,0.00010488016],"about_ca_topic_score_codex":0.034150675,"about_ca_topic_score_gemma":0.5332077,"teacher_disagreement_score":0.49905705,"about_ca_system_score_codex":0.00015918996,"about_ca_system_score_gemma":0.000006621513,"threshold_uncertainty_score":0.972281},"labels":[],"label_agreement":null},{"id":"W2085879560","doi":"10.1046/j.1466-822x.2002.00292.x","title":"On the determinants of census area: implications for mammalian macroecological patterns","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":5,"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 Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Census; Geography; Trophic level; Temperate rainforest; Temperate climate; Population; Biology; Physical geography; Demography; Ecosystem","score_opus":0.02095364836645892,"score_gpt":0.23584211534501087,"score_spread":0.21488846697855196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085879560","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":[0.9931307,0.000014207768,0.00001595921,0.0051259142,0.00008705262,0.0002953017,0.00031095446,0.000012946193,0.0010069809],"genre_scores_gemma":[0.99735004,0.000029834993,0.00008002022,0.002406005,0.000008699092,0.00009724093,0.000008449673,0.000001828652,0.000017871813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993542,0.00004832903,0.0001500295,0.00020421526,0.000034951005,0.0002082837],"domain_scores_gemma":[0.9995141,0.00021724204,0.00008321388,0.00013525147,0.000009300353,0.000040891195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012385215,0.00008689477,0.000111200105,0.000017464263,0.00025125977,0.0000052096098,0.00014764903,0.00013745841,0.0007060985],"category_scores_gemma":[0.000051019,0.000058132933,0.000069823596,0.00016274492,0.00039655497,0.000028666333,0.00006208769,0.000048531205,0.000024431749],"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":[0.000019840774,0.0001092819,0.98918545,0.000002150416,0.000010011286,9.206953e-7,0.0000074498466,0.0000019772663,0.000009293562,0.0032778068,0.0046306523,0.002745163],"study_design_scores_gemma":[0.00020470357,0.00031287267,0.98588544,0.0000016948442,0.000019026409,0.0000114145505,0.000015514812,0.00007870823,0.000017192619,0.012374215,0.0010140662,0.00006516101],"about_ca_topic_score_codex":0.000028344086,"about_ca_topic_score_gemma":0.0009434194,"teacher_disagreement_score":0.009096408,"about_ca_system_score_codex":0.000016011125,"about_ca_system_score_gemma":0.0000016573148,"threshold_uncertainty_score":0.77312833},"labels":[],"label_agreement":null},{"id":"W2089225410","doi":"10.1111/j.1466-8238.2008.00400.x","title":"What determines the relationship between plant diversity and habitat productivity?","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":79,"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":"Tartu Ülikool; McGill University","keywords":"Biological dispersal; Ecology; Productivity; Habitat; Biodiversity; Competition (biology); Temperate climate; Biology; Diversity (politics); Tropics; Population","score_opus":0.021420976537328048,"score_gpt":0.22096213569580725,"score_spread":0.1995411591584792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089225410","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":[0.9969387,0.00032762042,0.0000058327264,0.0021031615,0.00017162148,0.00013326506,0.000025539372,0.000018567329,0.00027565696],"genre_scores_gemma":[0.9992561,0.00033787944,0.0000652583,0.0002739112,0.00001912532,0.0000071003924,0.0000073584556,0.0000011655906,0.000032152697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999404,0.00007753298,0.000082172526,0.00022240834,0.000056858968,0.00015703999],"domain_scores_gemma":[0.9995396,0.0002882368,0.000045636483,0.00008030741,0.0000057420875,0.000040492683],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00016230247,0.0000852592,0.000103075945,0.000021659404,0.0022888884,0.000009319754,0.00008141675,0.00008597523,0.000010009991],"category_scores_gemma":[0.00006085946,0.000059948565,0.000029802079,0.00018189376,0.0014674471,0.0002456607,0.00057045295,0.00007910417,0.00001348124],"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":[0.000009488055,0.000017409515,0.9987845,0.0000023935165,0.00002194494,0.000005465371,0.00030542468,0.0000018252857,7.9674544e-7,0.00039956399,0.00024359957,0.00020762716],"study_design_scores_gemma":[0.00013918955,0.000072241055,0.9898997,0.0000017348085,0.000029270623,0.000051738967,0.00010548686,0.000008161255,0.0000011609525,0.009435725,0.00018183436,0.00007376543],"about_ca_topic_score_codex":0.00006829617,"about_ca_topic_score_gemma":0.0042071235,"teacher_disagreement_score":0.009036162,"about_ca_system_score_codex":0.000012785747,"about_ca_system_score_gemma":0.0000025258344,"threshold_uncertainty_score":0.99900997},"labels":[],"label_agreement":null},{"id":"W2091035513","doi":"10.1111/j.1466-8238.2009.00474.x","title":"Global trends in senesced‐leaf nitrogen and phosphorus","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":286,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Evergreen; Nutrient; Specific leaf area; Temperate climate; Forb; Deciduous; Shrub; Ecosystem; Ecological stoichiometry; Plant litter; Tundra; Agronomy; Biology; Agroforestry; Botany; Ecology; Grassland; Photosynthesis","score_opus":0.00303039346367857,"score_gpt":0.19724305788921864,"score_spread":0.19421266442554008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091035513","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":[0.98709583,0.00036239688,0.000005436922,0.0004157078,0.00005315676,0.000052898264,0.00011641346,0.000023562818,0.011874585],"genre_scores_gemma":[0.9989598,0.0002171309,0.00024192367,0.00052645133,0.000006131835,0.0000023922817,0.000031296815,0.0000011649324,0.000013698696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926335,0.000027519729,0.00012282998,0.0002618274,0.000065671185,0.00025882744],"domain_scores_gemma":[0.9997949,0.0000045215756,0.000029111901,0.00008177315,0.0000021624096,0.000087507164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080988466,0.00011542016,0.00012506545,0.00004723419,0.000078570156,0.000018183535,0.00007480675,0.00014200265,0.00006321636],"category_scores_gemma":[0.0000020531897,0.00010203344,0.000040592324,0.00063856965,0.00018463917,0.00007216525,0.00006340813,0.000050345934,0.00001058104],"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":[0.000019289819,0.000048913247,0.9619598,3.9678145e-7,0.0000068559025,0.000022348093,0.000008326257,0.000045795885,0.000014351988,0.00095486175,0.00015630409,0.036762793],"study_design_scores_gemma":[0.00035019164,0.00012041862,0.9818788,0.0000016679812,0.000013800797,0.00008621885,0.0000087092085,0.00052781194,0.0000029821258,0.015256607,0.0016342079,0.00011855528],"about_ca_topic_score_codex":0.00048277777,"about_ca_topic_score_gemma":0.0020284983,"teacher_disagreement_score":0.03664424,"about_ca_system_score_codex":0.00004351924,"about_ca_system_score_gemma":0.0000026627088,"threshold_uncertainty_score":0.41608027},"labels":[],"label_agreement":null},{"id":"W2095766166","doi":"10.1111/j.1466-8238.2011.00698.x","title":"Measuring ecological niche overlap from occurrence and spatial environmental data","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1707,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Maryland Center for Environmental Science; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Niche; Ecological niche; Environmental niche modelling; Ordination; Ecology; Species distribution; Weighting; Geography; Habitat; Biology","score_opus":0.057965426360266845,"score_gpt":0.225257482282053,"score_spread":0.16729205592178614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095766166","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":[0.9891636,0.00025179618,0.000012389854,0.00007583834,0.00017446252,0.000103196806,0.0047643124,0.000029488749,0.0054249335],"genre_scores_gemma":[0.9985,0.0004634813,0.00009148227,0.00040471143,0.000014602073,0.000006170485,0.00051584735,0.0000016772342,0.0000020192956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895245,0.000049950057,0.00013294021,0.00048680537,0.000108234904,0.00026961823],"domain_scores_gemma":[0.9995462,0.00002515283,0.000053471485,0.0002358987,0.0000015439093,0.00013774258],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011923479,0.00013571918,0.00013470324,0.000013381475,0.00017197878,0.000017730414,0.0002678391,0.00014384958,0.022546606],"category_scores_gemma":[0.000017301512,0.00011681564,0.000031892752,0.00009518121,0.0007563961,0.00012638973,0.0008786292,0.00008396237,0.00023864472],"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":[0.00003269221,0.00014518284,0.99464583,9.913856e-7,0.000017533464,0.000010674506,0.000025073932,2.590753e-8,0.00020462078,0.00007039389,0.0011825534,0.0036644146],"study_design_scores_gemma":[0.00031756182,0.00011144786,0.9928695,0.0000011447737,0.000029846022,0.0000139543,0.00026641053,0.00002039106,0.00006433199,0.0004885011,0.0056747803,0.00014211725],"about_ca_topic_score_codex":0.0017060816,"about_ca_topic_score_gemma":0.0040781666,"teacher_disagreement_score":0.02230796,"about_ca_system_score_codex":0.00005514388,"about_ca_system_score_gemma":0.0000028094573,"threshold_uncertainty_score":0.97834694},"labels":[],"label_agreement":null},{"id":"W2096156479","doi":"10.1111/j.1466-8238.2007.00321.x","title":"Interannual to decadal changes in area burned in Canada from 1781 to 1982 and the relationship to Northern Hemisphere land temperatures","year":2007,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":49,"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":"Canadian Forest Service; Natural Resources Canada","keywords":"Northern Hemisphere; Environmental science; Climatology; Dendroclimatology; Southern Hemisphere; Dendrochronology; Climate change; Scale (ratio); Period (music); Calibration; Physical geography; Atmospheric sciences; Geography; Geology; Statistics; Mathematics; Oceanography; Cartography","score_opus":0.0032113697431155976,"score_gpt":0.19178600581966493,"score_spread":0.18857463607654934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096156479","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":[0.99575514,0.0001539454,0.0000035783398,0.0029016826,0.00016032107,0.000490425,0.00014896225,0.000007911256,0.00037801126],"genre_scores_gemma":[0.9971826,0.000004752856,0.00007948652,0.002660613,0.000020517027,0.000032726373,0.00000979088,0.0000035639057,0.000005970199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901193,0.00009031596,0.00016575721,0.00031082015,0.00011036185,0.00031078514],"domain_scores_gemma":[0.9993671,0.0003092213,0.000027776998,0.0001182353,0.0000059781046,0.00017168553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037590723,0.00013080981,0.0001852458,0.00005765876,0.00008024318,0.000021317941,0.00014780197,0.00008479684,0.000048117985],"category_scores_gemma":[0.000100813915,0.00009488309,0.00001740732,0.0006480231,0.00007439446,0.00003434294,0.00013831204,0.00011129616,0.000012506142],"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":[0.00026862146,0.000013811607,0.99708724,0.0000023668422,0.000008351825,0.00003328329,0.00030073625,0.00004919712,0.00006757868,0.00001400917,0.0005212772,0.001633507],"study_design_scores_gemma":[0.0005827802,0.00009040487,0.99726546,0.000021282925,0.0000043089517,0.00000859556,0.00032317537,0.00001857558,0.000034286313,0.00013027622,0.0014006812,0.00012017845],"about_ca_topic_score_codex":0.90364325,"about_ca_topic_score_gemma":0.9997765,"teacher_disagreement_score":0.096133195,"about_ca_system_score_codex":0.00019252762,"about_ca_system_score_gemma":0.000020887503,"threshold_uncertainty_score":0.386922},"labels":[],"label_agreement":null},{"id":"W2096897421","doi":"10.1111/j.1466-8238.2009.00449.x","title":"Origin of the lichen–spruce woodland in the closed‐crown forest zone of eastern Canada","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Woodland; Lichen; Charcoal; Crown (dentistry); Ecology; Geography; Environmental science; Black spruce; Forestry; Agroforestry; Taiga; Biology; Chemistry","score_opus":0.0032930488212527973,"score_gpt":0.18720414987849066,"score_spread":0.18391110105723785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096897421","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":[0.99666035,0.00014380919,0.0000014194043,0.0008398234,0.00015119075,0.000260642,0.000053473846,0.0000034623927,0.0018858274],"genre_scores_gemma":[0.99920005,0.00001134934,0.000018500912,0.0007434992,0.000010464634,0.0000046897458,0.0000021327512,0.0000014352463,0.000007867137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913305,0.0001340751,0.00019471803,0.00016198985,0.00016324558,0.00021291594],"domain_scores_gemma":[0.99957466,0.00006680962,0.0001129224,0.00021083726,0.0000056373697,0.000029109007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002655502,0.00009884915,0.00016412417,0.000019810415,0.000057947454,0.0000052302994,0.00033012588,0.00007973522,0.000024357716],"category_scores_gemma":[0.000017060242,0.000055998687,0.000053584194,0.00053658726,0.00026216626,0.000036856116,0.00006087097,0.000078340825,0.0000024820781],"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":[0.000024697523,0.000061979794,0.99672943,0.000006879406,0.000009821468,0.000004864396,0.00004204449,0.000016729657,0.00010406159,0.00014480179,0.0010278949,0.0018267976],"study_design_scores_gemma":[0.00028593434,0.00016684641,0.9961511,0.000010074937,0.0000120617615,0.0000145080685,0.000043993245,0.00006503992,0.000055069,0.00028038223,0.0028542178,0.000060792605],"about_ca_topic_score_codex":0.35673535,"about_ca_topic_score_gemma":0.90613395,"teacher_disagreement_score":0.5493986,"about_ca_system_score_codex":0.000036213693,"about_ca_system_score_gemma":0.000026595635,"threshold_uncertainty_score":0.6475482},"labels":[],"label_agreement":null},{"id":"W2097901885","doi":"10.1111/geb.12085","title":"Climate or migration: what limited <scp>E</scp>uropean beech post‐glacial colonization?","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Beech; Glacial period; Climate change; Physical geography; Colonization; Phylogeography; Last Glacial Maximum; Ecology; Environmental science; Geology; Biology; Geography; Paleontology","score_opus":0.008849666120303155,"score_gpt":0.21626960403417847,"score_spread":0.2074199379138753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097901885","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":[0.98471135,0.00018833044,0.0000040848868,0.0021806497,0.0003859851,0.00033162744,0.00021555737,0.000097506905,0.011884915],"genre_scores_gemma":[0.9927337,0.0022958815,0.00008656985,0.004125317,0.000048259102,0.00005293758,0.00048857956,0.000007477091,0.00016127538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987595,0.00007682086,0.00021554137,0.00035667687,0.00014288258,0.00044859157],"domain_scores_gemma":[0.99947965,0.000054956898,0.00009460749,0.00015016226,0.000048689068,0.00017192595],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011965532,0.00017674302,0.00015903507,0.00004491786,0.00038492,0.00020628124,0.00017240268,0.0001825623,0.018917408],"category_scores_gemma":[0.00007040062,0.00014301542,0.00007762085,0.0007478678,0.00046456337,0.0005082674,0.00021145515,0.000073979696,0.0022780662],"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":[0.000021532587,0.00016116265,0.9614436,0.0000063463035,0.00002383826,0.000010933701,0.00009772234,0.0000012404954,0.00030374524,0.0008783699,0.033915672,0.0031358623],"study_design_scores_gemma":[0.00040521505,0.00028577153,0.9318477,0.00000443272,0.000024345596,0.00003062991,0.002581353,0.000025072583,0.0000677735,0.00015707167,0.06448311,0.00008752847],"about_ca_topic_score_codex":0.00019925548,"about_ca_topic_score_gemma":0.0043262546,"teacher_disagreement_score":0.030567443,"about_ca_system_score_codex":0.00008880169,"about_ca_system_score_gemma":0.0000075345356,"threshold_uncertainty_score":0.9984988},"labels":[],"label_agreement":null},{"id":"W2098601886","doi":"10.1111/j.1466-8238.2009.00506.x","title":"Estimating and controlling for spatial structure in the study of ecological communities","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":441,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spatial analysis; Selection (genetic algorithm); Statistics; Spatial ecology; Ecology; Computer science; Component (thermodynamics); Type I and type II errors; Variation (astronomy); Spatial variability; Mathematics; Machine learning; Biology","score_opus":0.007543872237986875,"score_gpt":0.2416066241794289,"score_spread":0.23406275194144202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098601886","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":[0.9989163,0.0000566704,0.00007250158,0.00031592388,0.00004817357,0.00039138945,0.000021987751,0.0000054086895,0.00017162974],"genre_scores_gemma":[0.9986596,0.000012174775,0.00080601935,0.0004941613,0.0000071219183,0.000015614456,0.0000043454793,6.2919406e-7,3.1965575e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947876,0.00011264986,0.00014239868,0.000100242985,0.0000375264,0.00012841042],"domain_scores_gemma":[0.9996215,0.00024415582,0.00006145258,0.000053722564,0.0000066575262,0.000012500214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023930216,0.00007098328,0.0001515317,0.000022567312,0.00025883375,0.000007230323,0.00008876649,0.0000744125,0.000012877023],"category_scores_gemma":[0.00002871448,0.000046679732,0.000020257567,0.00010729759,0.0003258927,0.00003154618,0.00004625444,0.00007159525,1.5816848e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042498814,0.00022501661,0.996364,0.0000023744535,0.0000153412,0.0000011675057,0.00083976414,0.0004984253,0.000006051492,0.00065345736,0.000009142148,0.001342761],"study_design_scores_gemma":[0.00086526707,0.0014336477,0.97460747,0.0000013799885,0.000024224044,0.000005255416,0.0024817528,0.0038512368,3.9585504e-7,0.016675651,0.000006539014,0.000047190828],"about_ca_topic_score_codex":0.00025874135,"about_ca_topic_score_gemma":0.027918482,"teacher_disagreement_score":0.02765974,"about_ca_system_score_codex":0.0000066262714,"about_ca_system_score_gemma":0.0000016538187,"threshold_uncertainty_score":0.98981947},"labels":[],"label_agreement":null},{"id":"W2098932267","doi":"10.1111/j.1466-8238.2008.00387.x","title":"Grid origin affects scaling of species across spatial scales","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Grid; Sensitivity (control systems); Grid cell; Scale (ratio); Scaling; Position (finance); Geography; Cartography; Mathematics; Geometry; Geodesy","score_opus":0.008515220509641977,"score_gpt":0.23408279473938587,"score_spread":0.22556757422974388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098932267","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":[0.99535495,0.00018869269,0.000071483715,0.00017718576,0.00034390498,0.00010053028,0.000089496316,0.000025186308,0.0036485759],"genre_scores_gemma":[0.9989347,0.00039816013,0.00040795474,0.00017714547,0.000033497992,0.0000070971255,0.000010929349,0.0000022011254,0.00002831011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992249,0.000048570007,0.000143615,0.00022963202,0.00008216911,0.0002711191],"domain_scores_gemma":[0.99970436,0.00006897298,0.000081084894,0.000082706,0.0000104584315,0.000052438998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013245418,0.00011304883,0.00019310361,0.00002493282,0.00041758007,0.000003941517,0.00010128478,0.00012884826,0.00012880588],"category_scores_gemma":[0.000024470515,0.00009812631,0.00007623808,0.00026972554,0.0018872246,0.00006667679,0.00016813855,0.000066073866,0.000034576722],"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":[0.000027046115,0.00006614965,0.9980564,0.000007195119,0.000036308644,0.000012231758,0.00011685027,0.000051530496,0.00011071264,0.000508437,0.00047600234,0.0005311246],"study_design_scores_gemma":[0.00030468495,0.00013189732,0.99753064,0.0000025663062,0.000014347185,0.00003399827,0.00008301276,0.00006622612,0.0001030386,0.0009235572,0.00070440106,0.000101613325],"about_ca_topic_score_codex":0.0002277361,"about_ca_topic_score_gemma":0.00789717,"teacher_disagreement_score":0.0076694344,"about_ca_system_score_codex":0.000020407342,"about_ca_system_score_gemma":0.0000048541547,"threshold_uncertainty_score":0.6953558},"labels":[],"label_agreement":null},{"id":"W2099314053","doi":"10.1111/j.1466-8238.2008.00427.x","title":"Improved abundance prediction from presence–absence data","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Abundance (ecology); Relative species abundance; Cluster analysis; Geography; Poisson distribution; Census; Occupancy; Ecology; Spatial analysis; Grid cell; Statistics; Grid; Mathematics; Biology; Population; Demography; Remote sensing","score_opus":0.021789817410948927,"score_gpt":0.2319801918657567,"score_spread":0.21019037445480776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099314053","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":[0.98915553,0.000262669,0.000053782915,0.00037174876,0.00035018238,0.00012822275,0.0038818435,0.00006907443,0.0057269162],"genre_scores_gemma":[0.997646,0.0009565537,0.0001670279,0.00047111104,0.00003424448,0.000010379068,0.0006848813,0.0000022198426,0.000027586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902785,0.000031083233,0.00013213695,0.00044706097,0.00011069183,0.00025117656],"domain_scores_gemma":[0.999462,0.00002580682,0.000053623116,0.00034751935,0.0000075720695,0.000103483835],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007956035,0.00010720344,0.00010695266,0.000012902938,0.00028576786,0.000014813504,0.000332017,0.000116750416,0.007216062],"category_scores_gemma":[0.000029474839,0.000096487776,0.000032788073,0.0003119588,0.0007825245,0.00023136681,0.00042460518,0.00006733777,0.00019843066],"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":[0.000024308763,0.00006236072,0.9802756,0.0000010482871,0.000013286404,0.0000075234693,0.000018928553,5.235804e-7,0.0005697171,0.00008403522,0.018196277,0.00074640213],"study_design_scores_gemma":[0.00026664263,0.000068693305,0.96917385,0.0000015721678,0.000010666717,0.000024720632,0.000107596585,0.00027942154,0.000047362504,0.00029649338,0.029627407,0.000095590374],"about_ca_topic_score_codex":0.0015686007,"about_ca_topic_score_gemma":0.002361162,"teacher_disagreement_score":0.01143113,"about_ca_system_score_codex":0.000054819895,"about_ca_system_score_gemma":0.000006639927,"threshold_uncertainty_score":0.9936915},"labels":[],"label_agreement":null},{"id":"W2101291252","doi":"10.1111/geb.12342","title":"Ecological predictors of spider sociality in the<scp>A</scp>mericas","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Seasonality; Biology; Ecology; Sociality; Predation","score_opus":0.024914567380791758,"score_gpt":0.24856868076820096,"score_spread":0.2236541133874092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101291252","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":[0.99685293,0.00032997312,2.2037527e-7,0.00071539613,0.0002207345,0.00016503451,0.000053656495,0.000022237036,0.0016398212],"genre_scores_gemma":[0.9994496,0.000050499035,0.000018115405,0.0003151782,0.0001256549,0.000011578567,0.000021699412,2.0582685e-7,0.0000074721647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990491,0.00018571458,0.00018538145,0.00024478202,0.00011627614,0.00021872824],"domain_scores_gemma":[0.99965113,0.00011719685,0.00008036623,0.000038795086,0.000045988116,0.000066524975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005204642,0.00009512713,0.00017128109,0.000011946196,0.000096910386,0.000011767215,0.0001476304,0.00019050139,0.000015737533],"category_scores_gemma":[0.00011303785,0.00003128299,0.0000926709,0.00057262403,0.00045617073,0.00004889052,0.000055218312,0.0000947298,0.000004432188],"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":[0.000009756243,0.00029305625,0.9948743,0.0000014194518,0.000008522343,0.000004317705,0.0000596397,2.1931183e-7,0.00055002753,0.0004829481,0.0018550953,0.0018607076],"study_design_scores_gemma":[0.00011531497,0.0008087396,0.9862354,0.0000011045471,0.000019324862,0.000016607733,0.0014063612,4.3254852e-7,0.000040540574,0.003035668,0.0082916105,0.000028886461],"about_ca_topic_score_codex":0.00044758798,"about_ca_topic_score_gemma":0.000928478,"teacher_disagreement_score":0.008638881,"about_ca_system_score_codex":0.000011474063,"about_ca_system_score_gemma":0.00000854881,"threshold_uncertainty_score":0.168078},"labels":[],"label_agreement":null},{"id":"W2102838361","doi":"10.1111/j.1466-8238.2012.00783.x","title":"Probing for the influence of atmospheric <scp>CO<sub>2</sub></scp> and climate change on forest ecosystems across biomes","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biome; Climate change; Environmental science; Ecosystem; Subtropics; Ecology; Forest ecology; Productivity; Latitude; Range (aeronautics); Atmospheric sciences; Geography; Biology","score_opus":0.006913935341563404,"score_gpt":0.2151232659682279,"score_spread":0.2082093306266645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102838361","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":[0.9984614,0.00037909928,0.0000108206195,0.000044198732,0.000112780675,0.00045050046,0.00037842608,0.000016778844,0.00014596448],"genre_scores_gemma":[0.9989627,0.00067741366,0.00007755779,0.00014417373,0.000021923586,0.00009137417,0.000019722416,0.0000040812993,0.0000010444498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917096,0.000028053357,0.00014879458,0.00017673308,0.00007140716,0.00040407505],"domain_scores_gemma":[0.99958974,0.00012125247,0.000106211584,0.00010541894,0.000006719468,0.00007064096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028907234,0.000119983655,0.00013449766,0.000009656968,0.00028413843,0.000020085452,0.00010134174,0.00012068746,0.0000013150237],"category_scores_gemma":[0.000011717575,0.00008087011,0.000054288652,0.00025041506,0.00035655298,0.00015212587,0.00010556221,0.000048644793,0.0000075252724],"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":[0.000008653646,0.000041590796,0.99607164,0.000020806288,0.000024806912,4.6648762e-7,0.00015939269,0.00021223121,0.0009413522,0.0004147311,0.000030056226,0.0020742519],"study_design_scores_gemma":[0.00022315794,0.00014915816,0.9960873,0.000012111844,0.000026651594,0.000021014122,0.000078291916,0.0014653183,0.00019459717,0.0002372939,0.0014533293,0.00005177019],"about_ca_topic_score_codex":0.000111204834,"about_ca_topic_score_gemma":0.0008802502,"teacher_disagreement_score":0.0020224818,"about_ca_system_score_codex":0.000017577073,"about_ca_system_score_gemma":0.0000018156222,"threshold_uncertainty_score":0.32977873},"labels":[],"label_agreement":null},{"id":"W2103369104","doi":"10.1111/j.1466-8238.2011.00705.x","title":"Geographic variation in network structure of a nearctic aquatic food web","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":64,"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":"Food web; Ecology; Species richness; Ecosystem; Abundance (ecology); Biology; Geography","score_opus":0.016627246759001364,"score_gpt":0.17672095783477407,"score_spread":0.1600937110757727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103369104","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":[0.99829036,0.0007871529,1.5038836e-7,0.00009528185,0.00006158409,0.00011040055,0.00016593905,0.000017191509,0.00047193776],"genre_scores_gemma":[0.9994924,0.0002473318,0.00008760367,0.000115156676,0.000042299234,0.0000032351027,0.000011116781,2.2742259e-7,5.937861e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993075,0.000057378136,0.00016074382,0.00017825754,0.000057009183,0.00023909012],"domain_scores_gemma":[0.99979967,0.00005378855,0.000075697506,0.000015049376,0.000017814233,0.000037964808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000911079,0.00009912494,0.00017898297,0.000020453159,0.00010298508,0.000006637437,0.00009395732,0.0001279723,0.00006895696],"category_scores_gemma":[0.000012398018,0.000041243664,0.00006477165,0.0007012034,0.00013881752,0.000041541636,0.000050917337,0.00006259284,0.0000014052415],"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":[0.000051538325,0.00004908007,0.994321,0.0000045139627,0.000040571227,0.0000018536284,0.000027569866,2.3796319e-7,0.0023886864,0.0018824987,0.000026387599,0.0012060639],"study_design_scores_gemma":[0.00013908566,0.000648033,0.9735436,0.000008909587,0.000020633986,0.000006051629,0.000047155456,0.000011821015,0.000016390522,0.025293592,0.00018000997,0.00008472503],"about_ca_topic_score_codex":0.0005584827,"about_ca_topic_score_gemma":0.06553477,"teacher_disagreement_score":0.06497628,"about_ca_system_score_codex":0.000003362285,"about_ca_system_score_gemma":0.0000034918633,"threshold_uncertainty_score":0.9515168},"labels":[],"label_agreement":null},{"id":"W2104865980","doi":"10.1111/j.1466-822x.2006.00227.x","title":"Temporal dynamics and nestedness of an oceanic island bird fauna","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Världsnaturfonden WWF; Uppsala Universitet","keywords":"Nestedness; Occupancy; Extinction (optical mineralogy); Ecology; Biological dispersal; Extinction probability; Geography; Colonization; Biology; Biodiversity; Demography","score_opus":0.0033898552391798,"score_gpt":0.20810989330381133,"score_spread":0.20472003806463152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104865980","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":[0.99773437,0.00018421517,0.000010420884,0.00010663447,0.00008897203,0.00010929511,0.000091326285,0.00003603593,0.0016387308],"genre_scores_gemma":[0.9995615,0.000049849834,0.00022474113,0.00009974144,0.000011740569,0.000004623687,0.000020886077,0.000004030377,0.000022907672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992186,0.00004420846,0.00016845898,0.000276611,0.00006124131,0.00023090516],"domain_scores_gemma":[0.99975634,0.000019457104,0.00007664899,0.00008540275,0.0000083705745,0.000053775253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010849762,0.0001315728,0.00020027113,0.000034356857,0.00019681921,0.000007804174,0.0000895036,0.00017474729,0.00011530272],"category_scores_gemma":[0.0000038391972,0.00011037028,0.000041513358,0.00025306435,0.0011671027,0.00010250063,0.00014936096,0.00006360422,0.000008728271],"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":[0.000042117845,0.00015550193,0.9968815,0.0000053266663,0.000012946972,0.000013102115,0.000011143234,0.0000018081421,0.000048645477,0.0014309394,0.00020412465,0.0011928687],"study_design_scores_gemma":[0.0003373566,0.00048464997,0.9956843,0.0000017967479,0.00004862251,0.000043395048,0.00011732175,0.00010516537,0.000010587821,0.002854977,0.00018600689,0.00012577778],"about_ca_topic_score_codex":0.001693528,"about_ca_topic_score_gemma":0.05235601,"teacher_disagreement_score":0.050662484,"about_ca_system_score_codex":0.000019469491,"about_ca_system_score_gemma":0.000004646726,"threshold_uncertainty_score":0.964936},"labels":[],"label_agreement":null},{"id":"W2105011747","doi":"10.1111/j.1466-822x.2006.00246.x","title":"Power law relationships among hierarchical taxonomic categories in algae reveal a new paradox of the plankton","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Species richness; Ecology; Biodiversity; Habitat; Benthic zone; Biology; Taxon; Taxonomic rank; Phylum; Plankton","score_opus":0.005979055453976551,"score_gpt":0.18363665301603804,"score_spread":0.17765759756206148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105011747","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":[0.95060426,0.000057297348,0.000005251559,0.0014807538,0.00013213394,0.0002077517,0.000017365388,0.0000126384475,0.047482558],"genre_scores_gemma":[0.99928325,0.0000137381985,0.00014357215,0.0004284609,0.0000098490955,0.000014343502,0.000006065377,0.000001765219,0.00009893135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999213,0.00010394364,0.00019330796,0.0002115142,0.000057963152,0.00022030924],"domain_scores_gemma":[0.99971026,0.000064723885,0.00007706407,0.00011610746,0.0000024025826,0.000029414974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018545034,0.00009876982,0.00014467012,0.00003168827,0.00024159926,0.000006010199,0.00014055002,0.00013700545,0.00011739167],"category_scores_gemma":[0.000015661613,0.00007360523,0.000054375356,0.00031385152,0.0013528536,0.00007722254,0.00022319844,0.00013802308,0.000013849116],"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":[0.000027864542,0.00005376525,0.95131594,0.0000025018594,0.000016679054,0.0000029258404,0.00002643276,0.000037481273,0.0000035861488,0.031197043,0.017293938,0.000021854976],"study_design_scores_gemma":[0.00029792573,0.00005553799,0.9471329,0.0000031930851,0.000015796963,0.0000028595907,0.000045042947,0.000003039432,0.000008095229,0.049058937,0.0033030738,0.000073594274],"about_ca_topic_score_codex":0.003890765,"about_ca_topic_score_gemma":0.13204792,"teacher_disagreement_score":0.12815717,"about_ca_system_score_codex":0.00002839142,"about_ca_system_score_gemma":0.000006165555,"threshold_uncertainty_score":0.88378996},"labels":[],"label_agreement":null},{"id":"W2107146364","doi":"10.1111/j.1466-822x.2005.00151.x","title":"Integration of CO<sub>2</sub> flux and remotely‐sensed data for primary production and ecosystem respiration analyses in the Northern Great Plains: potential for quantitative spatial extrapolation","year":2005,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":165,"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 Lethbridge","funders":"Agricultural Research Service; U.S. Geological Survey; University of Lethbridge; United States Agency for International Development","keywords":"Photosynthetically active radiation; Primary production; Ecosystem respiration; Environmental science; Ecosystem; Atmospheric sciences; Normalized Difference Vegetation Index; Respiration; Soil respiration; Flux (metallurgy); Plant functional type; Daytime; Eddy covariance; Ecology; Hydrology (agriculture); Leaf area index; Chemistry; Biology; Botany; Photosynthesis; Geology","score_opus":0.020370028482220397,"score_gpt":0.2645675509251929,"score_spread":0.24419752244297252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107146364","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":[0.9807199,0.00013884802,0.017861532,0.00027781783,0.000046166857,0.00073534,0.00018903486,0.0000069214607,0.00002441094],"genre_scores_gemma":[0.9909755,0.00013901546,0.008396283,0.000089098496,0.000031763328,0.000021202975,0.0003419474,0.0000038826,0.000001297123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913275,0.00008811183,0.00022673824,0.00033382105,0.00008889808,0.00012967885],"domain_scores_gemma":[0.9996288,0.000059314876,0.00014185371,0.000137063,0.000009005705,0.000024008134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003195628,0.000111179346,0.00014557713,0.000019543942,0.0001606128,0.00001590281,0.00007689592,0.00010136829,0.000002200869],"category_scores_gemma":[0.000043986238,0.00008477648,0.000031008873,0.00013754432,0.0002665325,0.0002544539,0.000047967773,0.000041457522,4.1758003e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011262215,0.00020864733,0.7521683,0.00006386903,0.00007655231,0.0000012418493,0.0005018382,0.0059270323,0.0975328,0.00013864241,0.00014891836,0.14210594],"study_design_scores_gemma":[0.0005198013,0.00043505622,0.9511887,0.000009835449,0.00007898891,0.000014813294,0.00040745328,0.04609934,0.0005356834,0.0004596457,0.00014683409,0.00010384299],"about_ca_topic_score_codex":0.00020525734,"about_ca_topic_score_gemma":0.01980017,"teacher_disagreement_score":0.19902042,"about_ca_system_score_codex":0.000051772113,"about_ca_system_score_gemma":0.0000058693645,"threshold_uncertainty_score":0.9980859},"labels":[],"label_agreement":null},{"id":"W2107304699","doi":"10.1111/j.1466-8238.2006.00277.x","title":"Ecological factors explaining the location of the boundary between the mixedwood and coniferous bioclimatic zones in the boreal biome of eastern North America","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Balsam; Ecology; Boreal; Abies balsamea; Ecotone; Geography; Vegetation (pathology); Biome; Abiotic component; Taiga; Environmental science; Forestry; Tundra; Physical geography; Ecosystem; Shrub; Biology","score_opus":0.006699762744642866,"score_gpt":0.2079466862583859,"score_spread":0.20124692351374301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107304699","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":[0.9974924,0.0003370979,0.000022297516,0.0013504479,0.000060535243,0.00026164757,0.000048924165,0.000004946337,0.0004217044],"genre_scores_gemma":[0.99957395,0.000085186,0.00003316411,0.0002622457,0.000008917628,0.0000181191,0.000015266633,0.000001500169,0.0000016317605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990529,0.00026601006,0.0002483949,0.000155228,0.00009768282,0.0001798287],"domain_scores_gemma":[0.9991875,0.00046434114,0.00018947023,0.00013206109,0.000013716424,0.000012872594],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00028408025,0.00010731886,0.00016795748,0.000026523949,0.00043552238,0.000011477333,0.00024741812,0.00008188564,0.0000087192175],"category_scores_gemma":[0.00003136777,0.000044365468,0.000048462643,0.00066374685,0.0030779236,0.000040897005,0.00017032545,0.00010137339,0.0000017142049],"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":[0.000007787535,0.00006554988,0.9983814,0.0000072351427,0.000029631981,4.8158205e-7,0.00042861333,0.000039851162,0.0000029284313,0.00043631083,0.000033768843,0.00056648604],"study_design_scores_gemma":[0.00015488752,0.00014901425,0.99449795,0.0000035128521,0.000047781687,0.0000037230213,0.0012856784,0.00008939454,0.000003020106,0.0036429395,0.00007034997,0.00005172713],"about_ca_topic_score_codex":0.0009696796,"about_ca_topic_score_gemma":0.013416084,"teacher_disagreement_score":0.012446405,"about_ca_system_score_codex":0.000012346625,"about_ca_system_score_gemma":0.000009212363,"threshold_uncertainty_score":0.9996351},"labels":[],"label_agreement":null},{"id":"W2108008160","doi":"10.1111/geb.12371","title":"Assessing the general patterns of forest structure: quantifying tree and forest allometric scaling relationships in the<scp>U</scp>nited<scp>S</scp>tates","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest ecology and management","field":"Environmental Science","cited_by":85,"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 Oceanic and Atmospheric Administration; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Allometry; Ecology; Tree allometry; Scaling; Scale (ratio); Forest ecology; Tree (set theory); Ecosystem; Environmental science; Mathematics; Biology; Geography; Biomass (ecology); Geometry; Cartography","score_opus":0.030530152792259166,"score_gpt":0.2674207595447689,"score_spread":0.23689060675250972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108008160","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":[0.99696,0.0005877879,0.00019893474,0.00020436489,0.00020464502,0.00035192474,0.000034992026,0.000019611252,0.0014377697],"genre_scores_gemma":[0.998854,0.00012460475,0.00050215615,0.00040861152,0.000028272794,0.000021587352,0.000041993553,0.00000617853,0.0000126234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998344,0.00034193604,0.00032016178,0.0003563461,0.00019787102,0.00043968527],"domain_scores_gemma":[0.9986001,0.00088898366,0.00019158011,0.00021004704,0.000016914479,0.00009236279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011101438,0.0001973519,0.0002190611,0.00022548939,0.00041030324,0.00009001951,0.00032271887,0.00022040524,0.0000066413677],"category_scores_gemma":[0.0004867519,0.00012932943,0.000068692294,0.0012716878,0.00065795745,0.0002862318,0.00028763397,0.00026570912,0.000005890068],"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":[0.000002297376,0.00006145382,0.9916386,0.000013025049,0.00004048286,0.000012925628,0.00038702888,0.00094430236,0.00000991196,0.0058014775,0.00066185393,0.00042663692],"study_design_scores_gemma":[0.00049123855,0.00012318294,0.9726137,0.000008508461,0.00006615337,0.000033681645,0.0030128178,0.00082788884,0.000008078156,0.021516966,0.0012557285,0.00004207384],"about_ca_topic_score_codex":0.0007939712,"about_ca_topic_score_gemma":0.024466177,"teacher_disagreement_score":0.023672206,"about_ca_system_score_codex":0.000036316123,"about_ca_system_score_gemma":0.000012181595,"threshold_uncertainty_score":0.9933348},"labels":[],"label_agreement":null},{"id":"W2109400298","doi":"10.1111/j.1466-822x.2006.00211.x","title":"Spatial patterns of plant richness across treeline ecotones in the Pyrenees reveal different locations for richness and tree cover boundaries","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Universitat de Barcelona; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Species richness; Ecotone; Ecology; Plant cover; Vascular plant; Spatial ecology; Geography; Biology; Habitat","score_opus":0.0049509022222650086,"score_gpt":0.22568561153356104,"score_spread":0.22073470931129602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109400298","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":[0.99681777,0.0002330503,0.0005481449,0.0007890666,0.00013275634,0.00031909707,0.0010288575,0.000008956616,0.00012230653],"genre_scores_gemma":[0.9993974,0.000117519776,0.00006656097,0.00015697133,0.000020586072,0.0000992954,0.00012410374,0.0000023546713,0.0000151958575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999199,0.00006009604,0.00022687056,0.0002192346,0.00006644867,0.00022836433],"domain_scores_gemma":[0.9996133,0.0001727141,0.0000968808,0.000085771644,0.000012021607,0.000019344416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015129446,0.00012589853,0.00019949608,0.000032203552,0.00042408716,0.000024839384,0.00011020742,0.00011061894,0.000014009707],"category_scores_gemma":[0.000014311499,0.00008576838,0.00004690676,0.00013015003,0.0009563099,0.000056174045,0.000094963165,0.000053002823,0.0000011053124],"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":[0.00006305653,0.00018405267,0.99687076,0.000021402502,0.000024288842,0.0000016210932,0.00018397183,0.0000477691,0.000019561363,0.0018230568,0.0001657966,0.0005946845],"study_design_scores_gemma":[0.0006587115,0.0001642353,0.9912094,0.0000045869415,0.000034091303,0.000008323632,0.00031421173,0.00025324264,0.000017835084,0.0066298954,0.0006076561,0.00009782741],"about_ca_topic_score_codex":0.001460897,"about_ca_topic_score_gemma":0.17654075,"teacher_disagreement_score":0.17507985,"about_ca_system_score_codex":0.000017053693,"about_ca_system_score_gemma":0.0000059531267,"threshold_uncertainty_score":0.83848524},"labels":[],"label_agreement":null},{"id":"W2111428849","doi":"10.1111/geb.12069","title":"Latitudinal gradients in phylogenetic relatedness of angiosperm trees in <scp>N</scp>orth <scp>A</scp>merica","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Phylogenetic tree; Biology; Species richness; Clade; Niche; Phylogenetic diversity; Ecology; Latitude; Phylogenetics; Biodiversity; Geography","score_opus":0.0047324736155969814,"score_gpt":0.2016624923616854,"score_spread":0.19693001874608843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111428849","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":[0.98842144,0.0009346615,0.0000041397484,0.00007284328,0.00018968029,0.00033134012,0.000027419963,0.000018084851,0.010000404],"genre_scores_gemma":[0.99867505,0.0005901696,0.00033627992,0.00022327327,0.000007677658,0.00006936923,0.000015540707,0.0000052379087,0.000077417506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985237,0.00011436475,0.0003628116,0.00041789355,0.00010944931,0.00047174588],"domain_scores_gemma":[0.9993578,0.00024601785,0.00015541897,0.0001321216,0.000019912855,0.00008868261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016217897,0.00020519944,0.00033926818,0.00018023104,0.00012462324,0.000009283063,0.00019843575,0.0002600816,0.00004930881],"category_scores_gemma":[0.0001324394,0.00018818607,0.00008888838,0.0010795271,0.00093814364,0.00012470139,0.00020455231,0.00015770685,0.00007225316],"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":[0.000003003134,0.00033792824,0.99728197,0.000008449087,0.000050231345,0.000013309265,0.00029681175,0.00022911537,0.00010593377,0.00046964778,0.00054706086,0.0006565586],"study_design_scores_gemma":[0.0005842815,0.000268015,0.9921597,0.000011494172,0.000025169076,0.000013077771,0.0005838211,0.00022310908,0.000015791094,0.0057103024,0.0003541816,0.00005101442],"about_ca_topic_score_codex":0.00087527244,"about_ca_topic_score_gemma":0.017593732,"teacher_disagreement_score":0.016718458,"about_ca_system_score_codex":0.00004906693,"about_ca_system_score_gemma":0.000014662978,"threshold_uncertainty_score":0.9817715},"labels":[],"label_agreement":null},{"id":"W2112051870","doi":"10.1111/geb.12188","title":"Multiple drivers of plant diversity in forest ecosystems","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Lakehead University","funders":"Canadian Forest Service; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Understory; Dominance (genetics); Canopy; Species evenness; Ecology; Species diversity; Alpha diversity; Ecosystem; Biodiversity; Geography; Environmental science; Biology","score_opus":0.004998963018242634,"score_gpt":0.18239706574466266,"score_spread":0.17739810272642004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112051870","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":[0.99640197,0.00002202966,0.00003694288,0.00008927659,0.00012532827,0.00009282674,0.00006460394,0.000009311963,0.0031577256],"genre_scores_gemma":[0.99968165,0.0000462151,0.00013712716,0.000110608285,0.0000037275786,0.0000038016003,0.000012115051,8.398888e-7,0.0000039151355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947274,0.000056495144,0.000112589616,0.00015909992,0.000046427005,0.00015262584],"domain_scores_gemma":[0.9997647,0.00008018608,0.000059128262,0.000058322228,0.0000044372077,0.000033219094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017465262,0.00006577411,0.00013451006,0.00003939234,0.00015733571,0.0000016810525,0.00008899581,0.000094909,0.00004433164],"category_scores_gemma":[0.00002543371,0.000059994585,0.000036739948,0.00017456202,0.0003647146,0.0000446467,0.00028024908,0.000042730644,0.000016242484],"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":[0.000019455949,0.000048034457,0.99801064,0.000005724485,0.000016548069,0.0000020114617,0.000072083865,0.00017475321,0.00000902184,0.0013236384,0.00019779529,0.0001203173],"study_design_scores_gemma":[0.0004594001,0.0001085971,0.9940041,0.0000026202777,0.000009475735,0.0000030262554,0.00007368021,0.0015806722,0.0000032306946,0.0032173316,0.0004763237,0.000061545274],"about_ca_topic_score_codex":0.00095978973,"about_ca_topic_score_gemma":0.14364067,"teacher_disagreement_score":0.14268087,"about_ca_system_score_codex":0.000020978068,"about_ca_system_score_gemma":0.0000017108216,"threshold_uncertainty_score":0.8719857},"labels":[],"label_agreement":null},{"id":"W2114622872","doi":"10.1111/j.1466-882x.2004.00072.x","title":"Variation in litterfall‐climate relationships between coniferous and broadleaf forests in Eurasia","year":2004,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Plant litter; Temperate rainforest; Temperate climate; Environmental science; Taiga; Subtropics; Precipitation; Temperate forest; Litter; Ecology; Geography; Forestry; Ecosystem; Biology","score_opus":0.006718141502504467,"score_gpt":0.20040582656732187,"score_spread":0.1936876850648174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114622872","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":[0.99844855,0.00006315906,0.000044372777,0.00038072138,0.00003285453,0.00014554731,0.000058056914,0.000015123595,0.0008116252],"genre_scores_gemma":[0.999435,0.00011314986,0.00033724596,0.000060217397,0.000005566643,0.000007963298,0.000037097423,0.0000022474499,0.000001477813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992651,0.00006215522,0.00017808563,0.00022102056,0.000055182296,0.00021850836],"domain_scores_gemma":[0.99980545,0.00003207972,0.00004236956,0.00006527556,0.000002366222,0.000052477477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023220804,0.0000889792,0.000112192865,0.000080879596,0.00008821165,0.000018821855,0.000054315937,0.00016431873,0.000009707276],"category_scores_gemma":[0.00000912011,0.00008493656,0.00001759009,0.00038711113,0.0001435728,0.00013475453,0.000072556315,0.00012711628,0.000015001342],"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":[0.000010640924,0.000029401965,0.9970611,0.0000026093187,0.000004790752,0.000011091155,0.00008989971,0.0006776225,0.000013204601,0.001623437,0.0000012573689,0.00047495318],"study_design_scores_gemma":[0.0005978957,0.000053000567,0.975692,0.0000075581834,0.000009745712,0.000021337832,0.000012771735,0.0002688893,9.2031837e-7,0.023213191,0.000031044114,0.00009169032],"about_ca_topic_score_codex":0.0009420529,"about_ca_topic_score_gemma":0.018421225,"teacher_disagreement_score":0.021589754,"about_ca_system_score_codex":0.00006208722,"about_ca_system_score_gemma":0.000004781891,"threshold_uncertainty_score":0.99949},"labels":[],"label_agreement":null},{"id":"W2114698622","doi":"10.1111/j.1466-8238.2010.00554.x","title":"Local‐ to continental‐scale variation in the richness and composition of an aquatic food web","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":34,"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":"Species richness; Ecology; Biology; Abundance (ecology); Food web; Range (aeronautics); Trophic level; Invertebrate; Taxon; Plant community; Geography","score_opus":0.007572859940432795,"score_gpt":0.1920968144044873,"score_spread":0.1845239544640545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114698622","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":[0.99847335,0.00006033107,0.0000011518474,0.001003079,0.00003589131,0.00012566056,0.00014418602,0.000007858604,0.00014846616],"genre_scores_gemma":[0.9995882,0.000023067983,0.00004108575,0.00030041838,0.00002166976,0.000007204774,0.000017986174,1.1280938e-7,2.7485265e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995971,0.000044763685,0.000089800786,0.00011967683,0.000045026245,0.00010363061],"domain_scores_gemma":[0.9998532,0.00006162385,0.00003155961,0.000011710668,0.000012793781,0.000029098605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014848846,0.000057471225,0.00009717643,0.000011171621,0.00010845641,0.000013700875,0.00007024826,0.00006491226,0.000005858711],"category_scores_gemma":[0.0000047748367,0.000020650103,0.00001975406,0.00026469323,0.00012104549,0.000038753158,0.000028838425,0.000045698594,9.1138696e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041201452,0.00010336333,0.9028273,0.0000023549937,0.000007397454,8.507352e-7,0.00005767037,9.542085e-8,0.09209719,0.00072487746,0.000021571735,0.0041160854],"study_design_scores_gemma":[0.00012187963,0.00061481737,0.9972578,0.000002850943,0.000009778253,0.000010508953,0.00026513607,0.000029982344,0.0001385421,0.0011983837,0.00029919657,0.000051080275],"about_ca_topic_score_codex":0.00022154157,"about_ca_topic_score_gemma":0.053589784,"teacher_disagreement_score":0.094430506,"about_ca_system_score_codex":0.0000013816903,"about_ca_system_score_gemma":0.0000011313989,"threshold_uncertainty_score":0.96367973},"labels":[],"label_agreement":null},{"id":"W2115937990","doi":"10.1111/geb.12207","title":"Interpreting the replacement and richness difference components of beta diversity","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1070,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Beta diversity; Pairwise comparison; Nestedness; Ecology; Abundance (ecology); Index of dissimilarity; Diversity (politics); Diversity index; Index (typography); Species diversity; Biodiversity; Statistics; Mathematics; Biology; Computer science; Sociology","score_opus":0.005594937701764932,"score_gpt":0.20023600289269533,"score_spread":0.19464106519093038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115937990","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":[0.9972203,0.00006418248,0.00013191179,0.00049007364,0.0000898271,0.000081337246,0.000011042372,0.00000821677,0.0019031207],"genre_scores_gemma":[0.99941874,0.00007035458,0.00009996443,0.00039339374,0.0000027055619,0.0000033761924,0.000002899519,7.151216e-7,0.000007883713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994778,0.000088306944,0.00009770302,0.00016380523,0.000052440657,0.00011996393],"domain_scores_gemma":[0.9997065,0.00011033583,0.000072582094,0.00007713454,0.0000065545955,0.000026883643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024099185,0.0000676693,0.00010860741,0.000013829928,0.0004308764,0.0000040768055,0.000107157546,0.000052705127,0.000025141211],"category_scores_gemma":[0.000020407244,0.000046402376,0.000025020252,0.00010257166,0.0008158866,0.00002489017,0.00079200626,0.00004872636,0.000003010584],"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":[0.000024238998,0.000029131887,0.9973199,0.0000044983,0.00002958787,2.2196721e-7,0.00014559948,0.000004189841,0.000035714093,0.0014704224,0.00005474589,0.0008817788],"study_design_scores_gemma":[0.00018755106,0.00012694311,0.99471414,0.000003331279,0.000025180701,0.0000030686679,0.00009660164,0.0005113674,0.0000061190576,0.004174297,0.000101524936,0.000049865033],"about_ca_topic_score_codex":0.00018898859,"about_ca_topic_score_gemma":0.0013083821,"teacher_disagreement_score":0.0027038746,"about_ca_system_score_codex":0.000009199403,"about_ca_system_score_gemma":7.1873046e-7,"threshold_uncertainty_score":0.33139965},"labels":[],"label_agreement":null},{"id":"W2117237658","doi":"10.1111/j.1466-8238.2012.00780.x","title":"Stochastic and deterministic drivers of spatial and temporal turnover in breeding bird communities","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":159,"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":"National Science Foundation","keywords":"Ecology; Spatial heterogeneity; Spatial ecology; Beta diversity; Sampling (signal processing); Null model; Productivity; Habitat; Spatial variability; Temporal scales; Econometrics; Biology; Statistics; Mathematics; Computer science; Economics","score_opus":0.007766980734992726,"score_gpt":0.218864280880811,"score_spread":0.2110973001458183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117237658","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":[0.99914867,0.00023210763,0.000055695884,0.000047475096,0.00009865606,0.00008006066,0.0000195145,0.000009088112,0.00030871228],"genre_scores_gemma":[0.99964577,0.000087747685,0.00015556384,0.0000935535,0.000006488394,0.0000049068476,0.0000024959188,0.000002001555,0.0000014476889],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953,0.000044837227,0.00011825253,0.00008919959,0.00003711992,0.00018059144],"domain_scores_gemma":[0.999753,0.000099603996,0.000054554104,0.000041319763,0.00000415069,0.00004739522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014562222,0.00008165418,0.00014048614,0.000051327042,0.00012915746,0.000004395349,0.000041511565,0.00008752815,0.000026615686],"category_scores_gemma":[0.000011847074,0.00007461621,0.000016016595,0.00010193433,0.0011833538,0.00011147206,0.00013512453,0.00006515345,0.0000021859043],"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":[0.000019036346,0.00003752821,0.99827963,0.000008277608,0.000016564329,0.0000010255231,0.00065771467,0.000007939626,0.000014516228,0.0003763941,0.0000056544,0.0005757326],"study_design_scores_gemma":[0.00034260788,0.00016094215,0.9967597,0.00000556756,0.00002230488,0.000018068315,0.0006920483,0.0003908029,8.2627867e-7,0.0015157049,0.000016235106,0.000075179705],"about_ca_topic_score_codex":0.001253748,"about_ca_topic_score_gemma":0.030998154,"teacher_disagreement_score":0.029744405,"about_ca_system_score_codex":0.000012256102,"about_ca_system_score_gemma":0.000002166895,"threshold_uncertainty_score":0.9866836},"labels":[],"label_agreement":null},{"id":"W2117299468","doi":"10.1111/j.1466-8238.2010.00616.x","title":"Global macroecology of bird assemblages in urbanized and semi-natural ecosystems","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Ecology; Species richness; Urban ecology; Biodiversity; Macroecology; Urbanization; Geography; Abundance (ecology); Species evenness; Ecosystem; Habitat; Biology","score_opus":0.0024098261443453845,"score_gpt":0.20170052444806552,"score_spread":0.19929069830372015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117299468","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":[0.9968909,0.0002989294,0.00000100253,0.00023354412,0.0006473894,0.00018146102,0.000073904055,0.000032489694,0.0016403574],"genre_scores_gemma":[0.99956787,0.00007804901,0.00011088178,0.00018638227,0.000026035288,0.000015938396,0.000007744249,0.0000040110363,0.000003086206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874824,0.0000947922,0.00033320408,0.00037468196,0.000099308105,0.00034979248],"domain_scores_gemma":[0.9995261,0.000055771226,0.00014001697,0.00016501594,0.000011107873,0.00010199008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036066576,0.00016633794,0.00035466556,0.000051180374,0.00008449611,0.00002024121,0.00019458223,0.00027535288,0.0003648435],"category_scores_gemma":[0.000017688055,0.00012732606,0.0000642504,0.00048005037,0.00015437952,0.0001285972,0.00022228036,0.00011133561,0.00003613603],"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":[0.00004233366,0.00007029534,0.99796337,0.000025789952,0.000026742553,0.00001501316,0.000016939224,0.0000034608595,0.0005840392,0.00034010387,0.00034202114,0.000569899],"study_design_scores_gemma":[0.00075009046,0.00011223086,0.99504584,0.000006370949,0.000020508618,0.00011042213,0.00005024471,0.00025736136,0.000053147003,0.0020087175,0.0014434826,0.00014159024],"about_ca_topic_score_codex":0.00350877,"about_ca_topic_score_gemma":0.29175168,"teacher_disagreement_score":0.2882429,"about_ca_system_score_codex":0.00002295035,"about_ca_system_score_gemma":0.000008437009,"threshold_uncertainty_score":0.721172},"labels":[],"label_agreement":null},{"id":"W2119230561","doi":"10.1111/j.1466-8238.2009.00479.x","title":"Reconciling topographic and climatic effects on widespread and range‐restricted species richness","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":24,"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 Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Body size and species richness; Range (aeronautics); Ecology; Macroecology; Species distribution; Species diversity; Geography; Biology; Habitat","score_opus":0.008263266466094578,"score_gpt":0.21614032628420388,"score_spread":0.2078770598181093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119230561","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":[0.989941,0.00065440807,0.0000028410545,0.0009390682,0.00013411345,0.00021702664,0.00006504988,0.00005567567,0.007990816],"genre_scores_gemma":[0.9968882,0.0015915678,0.000046342342,0.0014132694,0.000016589205,0.00000943918,0.000020990403,0.000002366745,0.000011219161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990488,0.000062337094,0.00014379148,0.0003379637,0.00010251222,0.0003045822],"domain_scores_gemma":[0.9995721,0.00011565098,0.00005799627,0.00010962022,0.000007723824,0.00013688604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116474366,0.00016877834,0.00020160068,0.000066856315,0.00024964235,0.00004658743,0.00007488669,0.00014410577,0.00056811294],"category_scores_gemma":[0.000047774603,0.00014316474,0.000049455928,0.00052105176,0.00042941308,0.000084428284,0.00006831454,0.0000850367,0.000025649844],"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":[0.000053003212,0.000061993225,0.9902814,0.000014436259,0.000014362208,0.000013916472,0.000026391479,2.0909268e-7,0.00042174905,0.001788124,0.00066246925,0.0066619604],"study_design_scores_gemma":[0.00063247,0.0004964588,0.994284,0.000014280423,0.00003500635,0.00003119567,0.00016365592,0.000008546227,0.00010069625,0.002124356,0.0019487238,0.00016061486],"about_ca_topic_score_codex":0.000037887374,"about_ca_topic_score_gemma":0.00022484652,"teacher_disagreement_score":0.007979597,"about_ca_system_score_codex":0.000043499174,"about_ca_system_score_gemma":0.000002178969,"threshold_uncertainty_score":0.62204385},"labels":[],"label_agreement":null},{"id":"W2119316740","doi":"10.1111/j.1466-822x.2006.00243.x","title":"Beyond Rapoport's rule: evaluating range size patterns of New World birds in a two‐dimensional framework","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":122,"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":"Range (aeronautics); Latitude; Biome; Tropics; Physical geography; Ecology; Geography; Macroecology; Subtropics; Northern Hemisphere; Habitat; Southern Hemisphere; Biogeography; Climatology; Ecosystem; Geology; Biology","score_opus":0.01212015474073043,"score_gpt":0.2746922157239283,"score_spread":0.2625720609831979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119316740","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":[0.99105585,0.0002558889,0.0000045657716,0.0005517344,0.00018369894,0.000153225,0.00025613295,0.000023807968,0.0075150724],"genre_scores_gemma":[0.9985568,0.000024657375,0.00049178913,0.00076344184,0.00003675564,0.000010112868,0.000054303135,0.000003921445,0.000058197114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988306,0.00005816017,0.00027961342,0.0002969114,0.00020776359,0.00032695424],"domain_scores_gemma":[0.99957263,0.0000926922,0.00011308027,0.00012421628,0.0000108435925,0.00008654516],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025376378,0.00014198765,0.00020545439,0.00006069881,0.0000945832,0.000012548763,0.00011629585,0.00010246406,0.021308523],"category_scores_gemma":[0.00003403041,0.00013061312,0.00009289251,0.00078398536,0.00024461633,0.0000653452,0.00013852224,0.00010648262,0.000055004384],"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":[0.000049022176,0.00012993519,0.9935737,0.000004620053,0.000009739826,0.000008965084,0.000016622038,0.000025856443,0.00020208022,0.0023910545,0.0024339957,0.0011543996],"study_design_scores_gemma":[0.00087853335,0.00007503709,0.9823771,0.000011853029,0.000016159556,0.000008231484,0.00008238663,0.000018971507,0.000056965902,0.015525097,0.000817719,0.0001319505],"about_ca_topic_score_codex":0.00526675,"about_ca_topic_score_gemma":0.023672989,"teacher_disagreement_score":0.021253519,"about_ca_system_score_codex":0.000092107475,"about_ca_system_score_gemma":0.000012646437,"threshold_uncertainty_score":0.9941424},"labels":[],"label_agreement":null},{"id":"W2119971122","doi":"10.1111/j.1466-822x.2006.00236.x","title":"Patterns of fish species richness in China's lakes","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Species richness; Altitude (triangle); Ecology; Geography; Plateau (mathematics); Range (aeronautics); Physical geography; Environmental science; Biology","score_opus":0.0028926943054850777,"score_gpt":0.17933759626447535,"score_spread":0.17644490195899026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119971122","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":[0.96668655,0.000022033933,0.0000066727125,0.0010997272,0.00010816749,0.0001092276,0.000074700525,0.000016024036,0.031876873],"genre_scores_gemma":[0.9991441,0.00012409016,0.000038330425,0.000541922,0.000011338753,0.000012170435,0.000014207281,0.0000014941188,0.00011239871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993447,0.000033330685,0.00015046759,0.0001996216,0.000055295655,0.00021656234],"domain_scores_gemma":[0.9998289,0.000019798072,0.000055286422,0.00007648286,0.000002784976,0.000016752238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010578091,0.00009344926,0.00015815375,0.000052137322,0.00008505893,0.0000044033,0.000103972656,0.00008463523,0.00047121293],"category_scores_gemma":[0.000006531153,0.00008270738,0.000040262872,0.00029637612,0.00033264435,0.0000628756,0.00018945227,0.000045590885,0.000008572059],"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":[0.00001266161,0.00012894235,0.9884376,0.000008937607,0.000014980251,0.00001547958,0.000013621416,0.000017528071,0.000010514577,0.0016751064,0.009575575,0.00008905857],"study_design_scores_gemma":[0.00028777638,0.0000743468,0.9905151,0.000002912386,0.000013147768,0.000003248181,0.00005972464,0.0000029725002,0.000019966166,0.003910339,0.005026234,0.00008419627],"about_ca_topic_score_codex":0.00059396256,"about_ca_topic_score_gemma":0.056774754,"teacher_disagreement_score":0.05618079,"about_ca_system_score_codex":0.000015500307,"about_ca_system_score_gemma":0.0000012769286,"threshold_uncertainty_score":0.96043664},"labels":[],"label_agreement":null},{"id":"W2120394423","doi":"10.1111/j.1466-822x.2005.00157.x","title":"Late Holocene opening of the forest tundra landscape in northern Québec, Canada","year":2005,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Northern Studies","funders":"","keywords":"Tundra; Deforestation (computer science); Holocene; Physical geography; Pollen; Ecology; Tree line; Geography; Cyperaceae; Biome; Vegetation (pathology); Spatial ecology; Forestry; Climate change; Arctic; Poaceae; Ecosystem; Archaeology; Biology","score_opus":0.005371981857189351,"score_gpt":0.19260597156444,"score_spread":0.18723398970725066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120394423","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":[0.9900377,0.0018756256,1.5876743e-7,0.0041681966,0.00012772135,0.000102466714,0.000063051426,0.00000552567,0.0036195514],"genre_scores_gemma":[0.99921316,0.00009307381,0.000029424265,0.0006067962,0.000015531661,0.0000011451693,0.00002079593,7.3229114e-7,0.000019332574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991345,0.00011736935,0.0001668964,0.00017339933,0.00007988639,0.00032798914],"domain_scores_gemma":[0.99962556,0.00011827813,0.000056126177,0.0001145564,0.00002601848,0.00005945283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019378476,0.000090258014,0.00017160786,0.000053156233,0.00015914584,0.00000571087,0.00023234963,0.00012974931,0.00018379609],"category_scores_gemma":[0.000028986362,0.000060012077,0.000040676106,0.00036648152,0.0003779748,0.000046325033,0.00003477778,0.00015302969,0.000010318818],"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":[0.000047410103,0.000010631968,0.9982466,0.000005839661,0.00002233727,0.000014365208,0.000018342213,0.0005743394,1.8325845e-7,0.000034530254,0.00017933144,0.00084608264],"study_design_scores_gemma":[0.00030924194,0.00005120426,0.9978075,0.0000044074086,0.000008202869,0.000044504428,0.000050427712,0.0002529636,0.000003755425,0.00024213333,0.0011588346,0.00006684858],"about_ca_topic_score_codex":0.6260588,"about_ca_topic_score_gemma":0.9998122,"teacher_disagreement_score":0.37375337,"about_ca_system_score_codex":0.000002112873,"about_ca_system_score_gemma":0.00027415474,"threshold_uncertainty_score":0.3764313},"labels":[],"label_agreement":null},{"id":"W2121708433","doi":"10.1111/geb.12330","title":"Effects of neutrality, geometric constraints, climate, and habitat quality on species richness and composition of <scp>A</scp>tlantic <scp>F</scp>orest small‐mammals","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":15,"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":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; McGill University; National Science Foundation","keywords":"Species richness; Ecology; Habitat; Body size and species richness; Biological dispersal; Species diversity; Composition (language); Biology","score_opus":0.013232070999888044,"score_gpt":0.23997046916773165,"score_spread":0.2267383981678436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121708433","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":[0.99473286,0.0007680282,0.000038463615,0.00007549287,0.00016813548,0.000338758,0.00017846876,0.000022810993,0.0036769577],"genre_scores_gemma":[0.998566,0.00092425605,0.00027457977,0.00017012679,0.000010067815,0.0000135361925,0.000028206701,0.0000040002615,0.000009258853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850386,0.00026556783,0.00036580954,0.0003749962,0.0001397753,0.0003499845],"domain_scores_gemma":[0.9977584,0.0016599091,0.00028010798,0.00011302627,0.000047097903,0.00014145211],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006397583,0.00020720878,0.00046354943,0.00017796947,0.00019680442,0.000016784486,0.000113774055,0.00022893766,0.0000032846722],"category_scores_gemma":[0.00037051577,0.000183517,0.000068930785,0.00064887974,0.0029041148,0.00009241121,0.0002505156,0.00011358163,0.00000609954],"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":[0.000018848725,0.00024139206,0.991088,0.00017614332,0.000096047144,0.000008998397,0.00018749865,0.000022169208,0.00051340635,0.007326834,0.00017228072,0.00014839391],"study_design_scores_gemma":[0.0010025803,0.0006807496,0.99354774,0.000020796208,0.00009946868,0.000025168978,0.0005703739,0.000018757955,0.00050726905,0.0034043775,0.00006658985,0.00005610708],"about_ca_topic_score_codex":0.00010066975,"about_ca_topic_score_gemma":0.0008947609,"teacher_disagreement_score":0.0039224564,"about_ca_system_score_codex":0.000025966361,"about_ca_system_score_gemma":0.000009515798,"threshold_uncertainty_score":0.9998094},"labels":[],"label_agreement":null},{"id":"W2122334759","doi":"10.1111/j.1466-8238.2009.00459.x","title":"Population energy use scales positively with body size in natural aquatic microcosms","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Schulich School of Medicine and Dentistry, Western University; Université de Montréal; Schulich School of Medicine and Dentistry; Dalhousie University","keywords":"Microcosm; Ecology; Invertebrate; Population; Fauna; Biology; Population density; Taxon; Demography","score_opus":0.002356140290860838,"score_gpt":0.18476210086723466,"score_spread":0.18240596057637382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122334759","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":[0.9969976,0.000062592684,0.000011467951,0.0011723395,0.00005651629,0.00013196684,0.000007448096,0.000027095657,0.0015329913],"genre_scores_gemma":[0.99574286,0.00008095274,0.0005216732,0.0035818152,0.000006741263,0.0000097953125,0.000017105847,0.0000017902231,0.00003728098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921036,0.00005673663,0.00012309576,0.00027895637,0.000063380256,0.0002674681],"domain_scores_gemma":[0.999785,0.00005701366,0.00005132573,0.00006805012,0.0000034483003,0.000035182366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073902454,0.00012878032,0.00015500828,0.00004750466,0.00016772792,0.000015919257,0.0000756674,0.00008980721,0.000034449564],"category_scores_gemma":[0.000016158318,0.00010291342,0.000031095664,0.0003690147,0.00027114607,0.00019824189,0.00006943159,0.00005947837,0.000008803221],"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":[0.000101240585,0.00010511895,0.9964256,0.0000012593252,0.000026968975,0.00002259943,0.000011962388,0.000007691022,0.000057259032,0.0009194508,0.0010797151,0.0012411157],"study_design_scores_gemma":[0.0004714143,0.00031313187,0.9943241,0.0000044776602,0.000023073351,0.0000109859075,0.000025459793,0.000028503577,0.0000110687,0.004367543,0.00028713027,0.00013313614],"about_ca_topic_score_codex":0.0010162505,"about_ca_topic_score_gemma":0.04612308,"teacher_disagreement_score":0.045106832,"about_ca_system_score_codex":0.000041344058,"about_ca_system_score_gemma":0.0000015558405,"threshold_uncertainty_score":0.97128266},"labels":[],"label_agreement":null},{"id":"W2122749615","doi":"10.1111/j.1466-8238.2008.00417.x","title":"Critical temperatures for xylogenesis in conifers of cold climates","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":611,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Cambium; Xylem; Latitude; Limiting; Biology; Range (aeronautics); Botany; Ecology; Geography","score_opus":0.012147980893065556,"score_gpt":0.2429175416195477,"score_spread":0.23076956072648214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122749615","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":[0.9957786,0.0021533736,0.0000012128718,0.00024000954,0.00015766236,0.00014428925,0.0010847391,0.000020674104,0.00041942293],"genre_scores_gemma":[0.99838257,0.00060137775,0.00075649173,0.0002030059,0.000014330418,0.0000033781512,0.000035250378,0.0000012012179,0.000002419553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991882,0.00006546573,0.00018548736,0.00020206929,0.00006149552,0.00029728963],"domain_scores_gemma":[0.9992092,0.00057456124,0.000032823613,0.000070579044,0.000041017243,0.00007176806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015619193,0.00010101446,0.00021530993,0.00012168047,0.00012959486,0.000009333498,0.00009079551,0.00012479213,0.00006885929],"category_scores_gemma":[0.0001430898,0.0000838861,0.00007293436,0.00029575385,0.00062690297,0.00005913627,0.000009840257,0.000042771644,0.0000048514453],"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":[0.0002678109,0.000034135082,0.9978617,0.00003414829,0.000018712604,0.000025495307,0.000012001079,0.000009686927,0.00012463715,0.0012031238,0.00014420354,0.0002643854],"study_design_scores_gemma":[0.00037487468,0.00035519665,0.99743694,0.000007814092,0.000015005918,0.000058811536,0.00005707631,0.000033537435,0.000368086,0.0005482942,0.00065030006,0.000094076284],"about_ca_topic_score_codex":0.00053863716,"about_ca_topic_score_gemma":0.0042416803,"teacher_disagreement_score":0.003703043,"about_ca_system_score_codex":0.0000019030751,"about_ca_system_score_gemma":0.00003478343,"threshold_uncertainty_score":0.34207758},"labels":[],"label_agreement":null},{"id":"W2124043037","doi":"10.1111/j.1466-8238.2011.00689.x","title":"A test of ecological succession hypotheses using 55‐year time‐series data for 361 boreal forest stands","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Ecological succession; Ecology; Abundance (ecology); Taiga; Abies balsamea; Boreal; Biology; Geography; Balsam; Botany","score_opus":0.02643509001394252,"score_gpt":0.2525951187009697,"score_spread":0.22616002868702717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124043037","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":[0.992862,0.00008900974,0.00014384235,0.00007553333,0.000096115575,0.00024062088,0.0007405723,0.000024627858,0.005727709],"genre_scores_gemma":[0.9927369,0.00013895796,0.006900214,0.00010111407,0.000013024475,0.000014448339,0.00007555623,0.0000037170266,0.000016098857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990804,0.000044406475,0.00021350666,0.00033248088,0.0000630872,0.00026608063],"domain_scores_gemma":[0.9994108,0.00018658699,0.0001283516,0.00019663392,0.00002090336,0.000056726123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026389275,0.00012953972,0.0002258801,0.0000387886,0.0002857927,0.0000066829293,0.0002687798,0.00018344664,0.00023582902],"category_scores_gemma":[0.000154062,0.00010095679,0.000053871256,0.00021740237,0.0011742283,0.00019793384,0.00043865916,0.000052351435,0.000012676685],"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":[0.00013758024,0.00022962896,0.9976136,0.000010326337,0.00004388623,0.0000030491847,0.000032389686,0.0000055272135,0.0000806285,0.0010476076,0.00053650496,0.0002592353],"study_design_scores_gemma":[0.0003792757,0.0005729516,0.9847635,0.0000044621843,0.00006468432,0.000010382458,0.00010228159,0.00068899785,0.000036781978,0.0129438415,0.00031641376,0.00011641548],"about_ca_topic_score_codex":0.00017657434,"about_ca_topic_score_gemma":0.005720003,"teacher_disagreement_score":0.012850123,"about_ca_system_score_codex":0.000019820422,"about_ca_system_score_gemma":0.000013014762,"threshold_uncertainty_score":0.43264928},"labels":[],"label_agreement":null},{"id":"W2124617735","doi":"10.1111/j.1466-8238.2008.00406.x","title":"Continental‐scale tree population response to rapid climate change, competition and disturbance","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":43,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Younger Dryas; Pollen; Climate change; Ecology; Physical geography; Last Glacial Maximum; Glacial period; Geography; Population; Geology; Biology; Paleontology; Demography","score_opus":0.012494061192652563,"score_gpt":0.22676804670026507,"score_spread":0.2142739855076125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124617735","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":[0.99430424,0.001394018,0.000002037069,0.0022848926,0.00020716459,0.00025470444,0.00024613194,0.00003727672,0.0012695431],"genre_scores_gemma":[0.9975362,0.0010766471,0.00021072455,0.00090424245,0.000036415106,0.0000075269177,0.0002177097,0.0000011530742,0.00000941743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988042,0.0002638233,0.00014954226,0.00031432937,0.000078006895,0.0003900607],"domain_scores_gemma":[0.999535,0.00013611832,0.000043886514,0.00009733957,0.000027240043,0.0001603686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032776184,0.00012441947,0.0002044754,0.0001294025,0.00049367524,0.0000118819835,0.00008165426,0.00017773992,0.00016952968],"category_scores_gemma":[0.000026196201,0.00010782134,0.000041159637,0.00032541278,0.00048607012,0.00010671213,0.00002893214,0.000097842065,0.00007428409],"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":[0.0009850269,0.00002048296,0.9967167,0.000008880482,0.000012660754,0.000037708392,0.000059201655,8.2904927e-7,0.000004185918,0.00014090461,0.00007816657,0.001935259],"study_design_scores_gemma":[0.0004717285,0.00046713353,0.99725986,0.0000067962983,0.000011247674,0.0003492219,0.000042269578,0.000043544293,0.0000035469075,0.0004350823,0.0007889142,0.0001206724],"about_ca_topic_score_codex":0.00034876756,"about_ca_topic_score_gemma":0.011128646,"teacher_disagreement_score":0.010779878,"about_ca_system_score_codex":0.0000010279512,"about_ca_system_score_gemma":0.0000064816622,"threshold_uncertainty_score":0.6210046},"labels":[],"label_agreement":null},{"id":"W2124813272","doi":"10.1111/geb.12230","title":"Differences in species–area relationships among the major lineages of land plants: a macroecological perspective","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Fonds De La Recherche Scientifique - FNRS; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Biome; Taxon; Species richness; Ecology; Macroecology; Biological dispersal; Range (aeronautics); Geography; Lineage (genetic); Biology; Ecosystem; Population","score_opus":0.011941569979273668,"score_gpt":0.21238999820062066,"score_spread":0.20044842822134698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124813272","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":[0.9869508,0.00011985893,0.000029634324,0.0010004193,0.00007741155,0.00014733593,0.000035538433,0.000012054061,0.01162691],"genre_scores_gemma":[0.9995458,0.000122873,0.00010465594,0.00015520373,0.000009788154,0.00002040208,0.0000048073816,0.0000012386427,0.000035224268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914783,0.00021934498,0.00016914455,0.00021569176,0.00006292964,0.00018507376],"domain_scores_gemma":[0.9993553,0.00043373177,0.000088040986,0.000080743994,0.000011125207,0.00003104991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003585848,0.00009762113,0.00017983225,0.00004081542,0.00026528107,0.0000070728406,0.00013198308,0.00014380734,0.00017760729],"category_scores_gemma":[0.00015742015,0.00006094611,0.00004574829,0.0002525837,0.0014779009,0.000048666454,0.00012919104,0.00015091743,0.00001153851],"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":[0.000025989826,0.000070102455,0.9930423,0.0000017757187,0.00003106269,0.000002057868,0.00019124133,0.000015613105,0.0000041361727,0.0064719375,0.000101085265,0.000042720054],"study_design_scores_gemma":[0.0002897771,0.00015408677,0.98035806,0.0000032883772,0.000017381895,0.0000046970354,0.0008275787,0.00034263835,0.0000024422275,0.017876232,0.000053034713,0.00007076013],"about_ca_topic_score_codex":0.00032049662,"about_ca_topic_score_gemma":0.048284847,"teacher_disagreement_score":0.04796435,"about_ca_system_score_codex":0.000027638793,"about_ca_system_score_gemma":0.0000034103764,"threshold_uncertainty_score":0.96908146},"labels":[],"label_agreement":null},{"id":"W2125036344","doi":"10.1111/j.1466-8238.2012.00770.x","title":"The variation of tree beta diversity across a global network of forest plots","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université de Montréal","funders":"Smithsonian Tropical Research Institute; Pontificia Universidad Católica del Ecuador; Andrew W. Mellon Foundation","keywords":"Beta diversity; Species richness; Gamma diversity; Alpha diversity; Ecology; Forest plot; Species diversity; Biodiversity; Null model; Spatial variability; Rarefaction (ecology); Tree (set theory); Forest inventory; Biology; Forest management; Mathematics; Statistics","score_opus":0.006045654355315648,"score_gpt":0.22064167545745586,"score_spread":0.2145960211021402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125036344","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":[0.9965041,0.0003994684,0.00007553035,0.00018760035,0.00028349285,0.000106275314,0.00007171553,0.0000088805045,0.0023628848],"genre_scores_gemma":[0.99950194,0.00015768208,0.00021227842,0.00009454047,0.000018724131,0.00000402866,0.000005075955,8.962515e-7,0.000004806262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993012,0.00005761099,0.00015369199,0.00011414425,0.00007773594,0.00029563296],"domain_scores_gemma":[0.99961936,0.00008406419,0.0001453892,0.000090647554,0.000016553815,0.000043968354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037315284,0.0000768849,0.00013279228,0.0000045203446,0.00061750883,0.0000030587069,0.00013657477,0.000111972295,0.000017606875],"category_scores_gemma":[0.000019959683,0.000056337234,0.000067952285,0.000320654,0.0008734166,0.000086698754,0.0005236379,0.000038735372,0.000007039703],"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":[0.000046429323,0.00007232828,0.98915213,0.0000033314434,0.00008541801,2.2931738e-7,0.00016184458,0.000101853526,0.0000020891005,0.009299707,0.00019645169,0.0008782001],"study_design_scores_gemma":[0.0002299984,0.00010136405,0.9875778,0.0000013922245,0.000042707303,0.000002631739,0.00010349491,0.000048666767,0.0000012161951,0.011668871,0.00016991283,0.000051930936],"about_ca_topic_score_codex":0.00033413197,"about_ca_topic_score_gemma":0.026115922,"teacher_disagreement_score":0.02578179,"about_ca_system_score_codex":0.000028696035,"about_ca_system_score_gemma":0.0000035837743,"threshold_uncertainty_score":0.99165493},"labels":[],"label_agreement":null},{"id":"W2125463363","doi":"10.1111/geb.12157","title":"Anthropogenic‐based regional‐scale factors most consistently explain plot‐level exotic diversity in grasslands","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Science Foundation","keywords":"Ecology; Species richness; Introduced species; Grassland; Geography; Biodiversity; Abundance (ecology); Competition (biology); Population; Abiotic component; Invasive species; Species diversity; Biology; Demography","score_opus":0.023892426140133604,"score_gpt":0.22443288536634737,"score_spread":0.20054045922621377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125463363","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":[0.9969197,0.0000592135,0.00015327687,0.0007006055,0.00017220028,0.00014007877,0.00007761183,0.000032401033,0.001744929],"genre_scores_gemma":[0.99850017,0.000065928005,0.00031477076,0.0010379198,0.0000070539104,0.000008531486,0.00004564658,0.000003105631,0.000016894477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887705,0.00013872329,0.0001778491,0.00037040527,0.00010701726,0.00032893303],"domain_scores_gemma":[0.9995329,0.00016349975,0.00007874978,0.000121217556,0.00001210933,0.000091525515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022721452,0.00016545963,0.00022615894,0.00007772751,0.00059009035,0.00000846221,0.00014923212,0.00018804999,0.00015465637],"category_scores_gemma":[0.00003540824,0.00014758337,0.00008175491,0.00041874265,0.0011755169,0.0000802251,0.0003009383,0.000103256796,0.000031337306],"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":[0.00003491053,0.00013298103,0.9985066,0.0000047110984,0.000027945782,0.0000071365616,0.000075726355,0.00007353416,0.000016483968,0.0005981511,0.00038245294,0.00013935703],"study_design_scores_gemma":[0.0007767116,0.00017377934,0.99430144,0.000003832208,0.000030233572,0.0000071119416,0.00020793814,0.0005091545,0.00000914667,0.0034018008,0.0004090733,0.00016980685],"about_ca_topic_score_codex":0.0006141365,"about_ca_topic_score_gemma":0.037380323,"teacher_disagreement_score":0.036766186,"about_ca_system_score_codex":0.000057904672,"about_ca_system_score_gemma":0.000008127279,"threshold_uncertainty_score":0.980185},"labels":[],"label_agreement":null},{"id":"W2125794917","doi":"10.1111/j.1466-8238.2011.00670.x","title":"Carrying capacity for species richness as a context for conservation: a case study of North American breeding birds","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"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":"University of Montana; U.S. Department of the Interior","keywords":"Species richness; Geography; Ecology; Context (archaeology); Biodiversity; Arid; Productivity; Biology","score_opus":0.1273952353764071,"score_gpt":0.23470433351548273,"score_spread":0.10730909813907563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125794917","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":[0.9970633,0.000090832546,0.00071542955,0.00006556389,0.00019661595,0.0007364636,0.0006837689,0.00001375765,0.00043426247],"genre_scores_gemma":[0.99857736,0.000032786174,0.0009398425,0.0002429536,0.000027534958,0.0001510397,0.000016254067,0.0000061057135,0.0000061396477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990963,0.000012379564,0.000395092,0.0002971889,0.0000128369375,0.000186199],"domain_scores_gemma":[0.99939066,0.00006449635,0.00036297913,0.00010736808,0.00002483189,0.000049682665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026565706,0.00011599485,0.00034760783,0.000116138806,0.00018677946,0.000011069312,0.00007456255,0.00004984582,0.000024162217],"category_scores_gemma":[0.00003209449,0.00013139565,0.000099690136,0.00020334945,0.00027905894,0.00010428223,0.00003372829,0.000033556516,0.00000372443],"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":[0.00006288899,0.00021108545,0.9832097,0.000018165792,0.0001417191,0.0000035928288,0.00063074,0.0000017597367,9.0339216e-7,0.014961583,0.0000621018,0.00069572066],"study_design_scores_gemma":[0.0011467854,0.0013690181,0.9875025,0.000001673303,0.000039735874,0.000045957382,0.0045062993,0.00010699017,0.0000074572613,0.0046068733,0.00052133773,0.00014538306],"about_ca_topic_score_codex":0.0060069524,"about_ca_topic_score_gemma":0.014122276,"teacher_disagreement_score":0.01035471,"about_ca_system_score_codex":0.00005053023,"about_ca_system_score_gemma":0.0000069955163,"threshold_uncertainty_score":0.9080755},"labels":[],"label_agreement":null},{"id":"W2126153862","doi":"10.1111/j.1466-8238.2006.00274.x","title":"The role of transitional areas as avian biodiversity centres","year":2007,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Ecoregion; Species richness; Biodiversity; Geography; Ecology; Range (aeronautics); Global biodiversity; Rare species; Endemism; Biology; Habitat","score_opus":0.0021468047402834972,"score_gpt":0.18585325612997436,"score_spread":0.18370645138969086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126153862","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":[0.9829605,0.00033554432,0.0000140013935,0.00070335297,0.000087914406,0.000069855385,0.000058181566,0.000010504858,0.015760135],"genre_scores_gemma":[0.99941266,0.00018136272,0.00006634889,0.00031382465,0.0000052022683,0.0000012491809,0.00000920112,5.1519675e-7,0.000009667759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949193,0.000028593699,0.00009995099,0.00012788427,0.00006486054,0.00018677795],"domain_scores_gemma":[0.9997595,0.00008654274,0.000046448782,0.000051689483,0.000010512316,0.000045333843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019883564,0.00006231424,0.000072087845,0.000018763745,0.00046002906,0.000003830879,0.00008639668,0.00008072134,0.00015423555],"category_scores_gemma":[0.000011439451,0.00004600283,0.00005496868,0.00017525499,0.001051615,0.0000362018,0.00006375369,0.0000450489,0.000052651852],"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":[0.000059170685,0.00004850372,0.9906386,8.118101e-7,0.00004007431,0.000002978114,0.000053970198,0.00000477391,0.000027549815,0.006950743,0.00015081141,0.002022024],"study_design_scores_gemma":[0.00015793761,0.000069893904,0.97165984,6.3761723e-7,0.000018823552,0.000008945559,0.00037500027,0.000009654175,0.000046355297,0.024393905,0.0032101814,0.000048802052],"about_ca_topic_score_codex":0.0002359674,"about_ca_topic_score_gemma":0.009921909,"teacher_disagreement_score":0.018978726,"about_ca_system_score_codex":0.000015223804,"about_ca_system_score_gemma":0.000003965028,"threshold_uncertainty_score":0.5536658},"labels":[],"label_agreement":null},{"id":"W2127333133","doi":"10.1111/j.1466-8238.2007.00298.x","title":"Human impacts on environment–diversity relationships: evidence for biotic homogenization from butterfly species richness patterns","year":2007,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":82,"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 Ottawa; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Éducation, Gouvernement de l’Ontario; Canadian Space Agency; Bộ Giáo dục và Ðào tạo","keywords":"Species richness; Butterfly; Ecology; Biodiversity; Body size and species richness; Habitat; Geography; Biology","score_opus":0.03104376765967647,"score_gpt":0.25757263432582606,"score_spread":0.22652886666614958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127333133","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":[0.9956091,0.00010859132,0.002632643,0.00040330805,0.00017129254,0.00029467422,0.00019510716,0.000032650976,0.00055262016],"genre_scores_gemma":[0.9987978,0.00013052266,0.00044311225,0.0004842446,0.000034133445,0.000007993733,0.00007086738,0.0000036028944,0.000027777918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897146,0.000070157745,0.00018863607,0.00036873302,0.00010663666,0.00029439642],"domain_scores_gemma":[0.99933654,0.00031950732,0.000118453354,0.000131461,0.000010357881,0.00008370825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039054418,0.00014755095,0.00014444969,0.00006525729,0.0012700203,0.000015136669,0.0001420111,0.0001867286,0.00021629925],"category_scores_gemma":[0.00007202955,0.00014032613,0.000072210765,0.00020195263,0.00043224602,0.00015541712,0.0002504134,0.00010023129,0.00006507086],"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":[0.0000498352,0.00008892685,0.9978729,0.000005227991,0.000052601197,0.0000042337997,0.00012485764,0.000083043764,0.00013833979,0.0012394538,0.00017660402,0.00016397855],"study_design_scores_gemma":[0.00036806535,0.0002539988,0.9926,0.000009842973,0.000072413306,0.0000016189915,0.00015740725,0.00003410809,0.000055479588,0.006163203,0.00013260455,0.0001512512],"about_ca_topic_score_codex":0.0002113473,"about_ca_topic_score_gemma":0.0046060937,"teacher_disagreement_score":0.0052728904,"about_ca_system_score_codex":0.00014570738,"about_ca_system_score_gemma":0.0000028318598,"threshold_uncertainty_score":0.97680974},"labels":[],"label_agreement":null},{"id":"W2127611332","doi":"10.1111/j.1466-8238.2012.00760.x","title":"The ice age ecologist: testing methods for reserve prioritization during the last global warming","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; University of British Columbia","funders":"University of Notre Dame; U.S. Department of Energy; National Science Foundation","keywords":"Ranking (information retrieval); Abiotic component; Prioritization; Regression; Ecology; Selection (genetic algorithm); Environmental science; Biodiversity; Climate change; Physical geography; Geography; Biology; Computer science; Statistics; Mathematics; Machine learning","score_opus":0.02908361557167347,"score_gpt":0.3129100921931341,"score_spread":0.2838264766214606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127611332","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":[0.98715806,0.0006842846,0.0002713314,0.0008326405,0.00050289906,0.00040114505,0.00017410453,0.000057043893,0.009918516],"genre_scores_gemma":[0.9974371,0.00013218627,0.0018163769,0.00040870704,0.000074329924,0.000079157064,0.000027978242,0.0000034547547,0.000020704207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988761,0.0001600946,0.00016481675,0.00019936655,0.000079576304,0.0005200222],"domain_scores_gemma":[0.99932563,0.00033034812,0.0000941236,0.00014356346,0.000019447154,0.000086885804],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008610282,0.00011851646,0.00010172432,0.000008457428,0.001307707,0.00006325872,0.00022006535,0.00011251147,0.00025302498],"category_scores_gemma":[0.0003482463,0.00007279165,0.00007476735,0.0005617544,0.0005971278,0.00011759633,0.00027016824,0.00006749558,0.000025012716],"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":[0.000021485279,0.00003569186,0.9902922,0.000006299655,0.000016350565,8.1459984e-7,0.000022390035,0.0000020414614,0.00021131207,0.0032811759,0.0007306587,0.005379592],"study_design_scores_gemma":[0.00022453282,0.00005463588,0.955349,0.00000193384,0.000024901768,0.000024827868,0.0006056358,0.000030281204,0.00006097757,0.0011889393,0.04234172,0.00009256985],"about_ca_topic_score_codex":0.00017270958,"about_ca_topic_score_gemma":0.0028157148,"teacher_disagreement_score":0.04161106,"about_ca_system_score_codex":0.00021283887,"about_ca_system_score_gemma":0.0000049611976,"threshold_uncertainty_score":0.99999243},"labels":[],"label_agreement":null},{"id":"W2129458498","doi":"10.1111/j.1466-8238.2010.00592.x","title":"The effect of biodiversity on tree productivity: from temperate to boreal forests","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":899,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal; Université du Québec à Rimouski","keywords":"Biodiversity; Ecology; Biome; Complementarity (molecular biology); Temperate rainforest; Temperate climate; Productivity; Taiga; Temperate forest; Ecosystem; Geography; Forest ecology; Agroforestry; Environmental science; Biology; Economics","score_opus":0.0025186352081877526,"score_gpt":0.19868181010450722,"score_spread":0.19616317489631946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129458498","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":[0.99597174,0.000015972022,0.0000014356423,0.0014577679,0.00035055034,0.00021269351,0.000107736094,0.000013770719,0.0018683595],"genre_scores_gemma":[0.9997164,0.000014824449,0.000055217653,0.00016919953,0.000013661115,0.000012795381,0.000008912327,9.249485e-7,0.000008092559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937177,0.000076144664,0.00008168373,0.00023632834,0.00006227525,0.00017181305],"domain_scores_gemma":[0.99958175,0.00018106545,0.000045570876,0.00013292105,0.0000074066384,0.0000513103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024250001,0.00009382252,0.00012534964,0.000021714393,0.0004130244,0.000007438222,0.00012741199,0.00009741769,0.000026176527],"category_scores_gemma":[0.00007438076,0.000058970843,0.0000487518,0.00020811176,0.0007373086,0.000035618068,0.00015334896,0.00009846333,0.000058898506],"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":[0.00016361961,0.000029798919,0.994632,0.0000011752777,0.00004383724,0.0000014456936,0.000024723144,0.000005792863,0.00023127503,0.00021704222,0.0009603893,0.003688911],"study_design_scores_gemma":[0.000260821,0.0007210869,0.99631226,7.9430663e-7,0.000024981317,0.00000131931,0.000009532731,0.000009508624,0.00049610547,0.0014514358,0.0006499272,0.000062228275],"about_ca_topic_score_codex":0.00055300683,"about_ca_topic_score_gemma":0.076203324,"teacher_disagreement_score":0.07565032,"about_ca_system_score_codex":0.000009783504,"about_ca_system_score_gemma":0.0000027739702,"threshold_uncertainty_score":0.94065356},"labels":[],"label_agreement":null},{"id":"W2132736222","doi":"10.1111/j.1466-8238.2010.00580.x","title":"Using biodiversity deconstruction to disentangle assembly and diversity dynamics of understorey plants along post‐fire succession in boreal forest","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Natural Resources Canada; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Species richness; Understory; Ecology; Biodiversity; Ecological succession; Geography; Boreal; Species diversity; Taiga; Beta diversity; Gamma diversity; Biology","score_opus":0.007356716513503927,"score_gpt":0.2228808960823119,"score_spread":0.21552417956880798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132736222","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":[0.99888295,0.000013993062,0.00002931125,0.00022085052,0.00022582992,0.00012375871,0.00017638976,0.00000939545,0.00031752166],"genre_scores_gemma":[0.99918777,0.000038606355,0.00062726013,0.000105435116,0.0000034795462,8.634485e-7,0.000035065565,9.507312e-7,5.7905726e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939585,0.000031209023,0.00011286187,0.00022718463,0.000059939175,0.00017297416],"domain_scores_gemma":[0.9997513,0.000036341247,0.00006903555,0.00005928457,0.000010167459,0.00007385554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117003714,0.000091213165,0.00013650674,0.00006982638,0.00038800229,0.0000058456135,0.00008062912,0.00015552553,0.000016994001],"category_scores_gemma":[0.000014385781,0.00008833409,0.000027309465,0.00020545452,0.00057693315,0.00013040449,0.00047822937,0.000087581575,0.0000020710836],"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":[0.00006571319,0.000054529813,0.9982545,0.000004679819,0.000017429018,0.000007121208,0.0000789536,0.000027776425,0.000100456884,0.00032491254,0.000019223164,0.0010447254],"study_design_scores_gemma":[0.00032476158,0.000093723334,0.99629563,0.0000033302626,0.000021254102,0.00002153952,0.00041444143,0.0009081317,0.000009716798,0.0018137314,0.0000031708307,0.00009054164],"about_ca_topic_score_codex":0.007248841,"about_ca_topic_score_gemma":0.39009696,"teacher_disagreement_score":0.38284814,"about_ca_system_score_codex":0.000055668042,"about_ca_system_score_gemma":0.000006941186,"threshold_uncertainty_score":0.999362},"labels":[],"label_agreement":null},{"id":"W2134820504","doi":"10.1046/j.1466-822x.2003.00047.x","title":"Broad‐scale reciprocity in an avian seed dispersal mutualism","year":2003,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":22,"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":"Ecology; Biological dispersal; Habitat; Mutualism (biology); Biology; Seed dispersal; Frugivore; Shrub; Understory; Ecological release; Canopy","score_opus":0.005075736688863612,"score_gpt":0.2226624915978591,"score_spread":0.2175867549089955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134820504","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":[0.9875666,0.00008707511,0.000020233043,0.00029940382,0.00018572948,0.00013918414,0.000023191302,0.000028262755,0.011650306],"genre_scores_gemma":[0.99829173,0.000071326846,0.0006578015,0.000905326,0.0000076068904,0.000019418685,0.000012471187,0.0000028584836,0.000031453044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989442,0.00016280323,0.00016135816,0.0003486499,0.00006270147,0.00032029362],"domain_scores_gemma":[0.99971044,0.0000344278,0.00004569359,0.000108948814,0.0000072782677,0.00009320738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002526241,0.00012752337,0.00016267558,0.00004498462,0.00023616168,0.000010983546,0.00010083937,0.00019342166,0.0002570926],"category_scores_gemma":[0.000028200802,0.000117987955,0.000046864512,0.00040728287,0.00065678527,0.0001439902,0.000069776994,0.00011160859,0.000058806916],"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":[0.000019051473,0.00014005609,0.99647593,0.0000019617669,0.000012474319,0.000008000236,0.00020322394,0.00001744638,0.00004361187,0.0027137168,0.000049436952,0.0003150635],"study_design_scores_gemma":[0.0004279197,0.00015864757,0.98942024,0.0000014077974,0.000012195307,0.000013268256,0.00027509828,0.000110795954,0.000009377293,0.008878286,0.0005517709,0.00014097663],"about_ca_topic_score_codex":0.00030371879,"about_ca_topic_score_gemma":0.064656615,"teacher_disagreement_score":0.0643529,"about_ca_system_score_codex":0.000046838115,"about_ca_system_score_gemma":0.000006329831,"threshold_uncertainty_score":0.95241094},"labels":[],"label_agreement":null},{"id":"W2135011435","doi":"10.1046/j.1466-822x.2001.00261.x","title":"Effects of body mass, climate, geography, and census area on population density of terrestrial mammals","year":2001,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":55,"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 Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Population density; Biome; Ecology; Population; Geography; Mammal; Density dependence; Temperate climate; Bergmann's rule; Range (aeronautics); Physical geography; Biology; Ecosystem; Demography; Latitude","score_opus":0.0046308566695994965,"score_gpt":0.20205412252903135,"score_spread":0.19742326585943185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135011435","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":[0.998794,0.000058628266,0.0000050703115,0.00013900622,0.00018601387,0.00023768152,0.000037230835,0.000016262284,0.00052609824],"genre_scores_gemma":[0.9993062,0.0002899918,0.0001453484,0.00019919302,0.00001449496,0.000007294275,0.000033931417,0.0000022157608,0.0000013316886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991428,0.00009976405,0.00021465647,0.00024439773,0.000086087755,0.00021224727],"domain_scores_gemma":[0.9995702,0.0001168139,0.00015308807,0.00009547205,0.0000075833964,0.000056860998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017640661,0.000117606134,0.00021440187,0.000070187445,0.000117460244,0.0000045019556,0.00006527943,0.0002077645,0.000033935186],"category_scores_gemma":[0.000038030903,0.000106050575,0.00006711705,0.00030210658,0.00041653187,0.000069693975,0.00006507734,0.000059764938,0.0000028460272],"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":[0.00036722358,0.00012036604,0.9973493,0.000014230979,0.00003299862,0.000010025579,0.0000037048785,0.000005464831,0.0004654653,0.0003890098,0.00011284185,0.0011293453],"study_design_scores_gemma":[0.0007468398,0.00047057713,0.995187,0.000010524187,0.000059717473,0.0000127860985,0.000007052406,0.000027077107,0.00018589746,0.0031103077,0.00009085196,0.00009140843],"about_ca_topic_score_codex":0.00062692,"about_ca_topic_score_gemma":0.0005069917,"teacher_disagreement_score":0.0027212978,"about_ca_system_score_codex":0.000011647551,"about_ca_system_score_gemma":0.0000027207288,"threshold_uncertainty_score":0.43246168},"labels":[],"label_agreement":null},{"id":"W2136118648","doi":"10.1111/geb.12074","title":"Phenotypic and phylogenetic correlates of geographic range size in<scp>C</scp>anadian freshwater fishes","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval; Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Latitude; Longitude; Phylogenetic tree; Range (aeronautics); Biology; Ecology; Extinction (optical mineralogy); Phylogenetic comparative methods; Phylogenetics; Taxon; Phenotypic trait; Biodiversity; Evolutionary biology; Geography; Phenotype","score_opus":0.003470853480006812,"score_gpt":0.16904511234110636,"score_spread":0.16557425886109955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136118648","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":[0.9974641,0.0005783303,9.572434e-7,0.0004766458,0.00011857438,0.00028699747,0.000032803815,0.00001602568,0.0010255248],"genre_scores_gemma":[0.9983653,0.0002777936,0.00022702367,0.001041602,0.000010428445,0.000044008735,0.000008712056,0.0000038777075,0.000021268597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989719,0.000088728746,0.00022025178,0.00031017375,0.00006378848,0.00034519512],"domain_scores_gemma":[0.9994439,0.00023585807,0.000080490405,0.00012095144,0.000011736036,0.000107056236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014258148,0.00014920834,0.00021100728,0.000080817765,0.000116635,0.000014672984,0.00012447571,0.00026450833,0.00062538846],"category_scores_gemma":[0.00008069115,0.00013347041,0.00005211737,0.00038318487,0.0009443082,0.00012830897,0.00010665603,0.00010049885,0.000060041],"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":[0.000006396847,0.0000563331,0.997708,0.000007629288,0.000024438992,0.0000031027296,0.00007137246,0.000004527601,0.000108608816,0.000098458055,0.00089958287,0.0010115213],"study_design_scores_gemma":[0.00049189,0.00015742668,0.9869957,0.0000052809123,0.000026496291,0.00001078741,0.00011257769,0.000086625485,0.0000149417765,0.011389283,0.0006401313,0.00006886702],"about_ca_topic_score_codex":0.002973003,"about_ca_topic_score_gemma":0.029545372,"teacher_disagreement_score":0.026572369,"about_ca_system_score_codex":0.000012084052,"about_ca_system_score_gemma":0.0000066469843,"threshold_uncertainty_score":0.9881629},"labels":[],"label_agreement":null},{"id":"W2137139191","doi":"10.1111/j.1466-8238.2011.00697.x","title":"The Mediterranean Sea under siege: spatial overlap between marine biodiversity, cumulative threats and marine reserves","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":631,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biodiversity; Marine protected area; Mediterranean sea; Geography; Mediterranean climate; Marine reserve; Marine ecosystem; Marine biodiversity; Ecology; Fishery; Aquatic biodiversity research; Ecosystem; Oceanography; Habitat; Biology; Geology","score_opus":0.02673205694448808,"score_gpt":0.23054581946376915,"score_spread":0.20381376251928107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137139191","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":[0.9788817,0.00014702407,0.0000036132399,0.000999196,0.00022196522,0.0002137347,0.00012843506,0.000027899438,0.019376436],"genre_scores_gemma":[0.9989242,0.00064885337,0.00008272995,0.00013457614,0.000050384184,0.000007275774,0.000034493863,0.000002400081,0.000115081784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989744,0.00007764332,0.00016240051,0.0003352783,0.00012475112,0.00032555236],"domain_scores_gemma":[0.9995589,0.000089239555,0.00007830129,0.00014410894,0.000013961281,0.00011548412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019989014,0.00017582935,0.00020501956,0.000030342442,0.00061217946,0.000023555305,0.0001761374,0.00010389445,0.00048065884],"category_scores_gemma":[0.00001098505,0.00011523491,0.00006484486,0.00022918705,0.0009114059,0.000111912945,0.0021850485,0.00009282563,0.000046837908],"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":[0.00007816992,0.0000312966,0.9779913,0.0000053882536,0.00011002645,0.000007359046,0.00007212986,1.0217157e-7,0.0000014373975,0.00021847263,0.0011148546,0.020369466],"study_design_scores_gemma":[0.00039611646,0.00030403695,0.9798581,0.0000021383146,0.0000628895,0.000009841613,0.00014913145,0.000008981617,0.000007576053,0.016804451,0.0022519126,0.00014482359],"about_ca_topic_score_codex":0.021018725,"about_ca_topic_score_gemma":0.07310103,"teacher_disagreement_score":0.052082304,"about_ca_system_score_codex":0.000027045242,"about_ca_system_score_gemma":0.0000038433614,"threshold_uncertainty_score":0.9855004},"labels":[],"label_agreement":null},{"id":"W2137641100","doi":"10.1111/geb.12392","title":"Aboveground biomass of understorey vegetation has a negligible or negative association with overstorey tree species diversity in natural forests","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Lakehead University","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","keywords":"Understory; Species richness; Biomass (ecology); Ecology; Species diversity; Biodiversity; Vegetation (pathology); Shrub; Biology; Environmental science; Canopy","score_opus":0.01950965269849125,"score_gpt":0.22631006581214264,"score_spread":0.20680041311365138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137641100","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":[0.996981,0.00009812583,0.000046331435,0.0002738307,0.00017138792,0.00017985229,0.000020519787,0.000013925684,0.0022149994],"genre_scores_gemma":[0.9992868,0.0000237654,0.00052686495,0.00009349735,0.0000075851494,0.0000051332527,0.000009768602,0.0000021390767,0.000044478846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999142,0.000104200124,0.00014875822,0.00022364993,0.00016242388,0.0002189557],"domain_scores_gemma":[0.9995171,0.0001414229,0.00018423735,0.000062657244,0.000039633072,0.00005497306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666591,0.00011998192,0.000197525,0.000087960914,0.00022278065,0.000010900381,0.00009189666,0.00014685662,0.000017193008],"category_scores_gemma":[0.00009705526,0.0000925641,0.00003920092,0.00062365213,0.00064391375,0.00023125533,0.00017591401,0.00007907409,0.000005292805],"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":[0.00042150554,0.00008896001,0.9976358,0.000007664467,0.00009355559,0.000008294556,0.0007100112,0.00015808886,0.000022372007,0.00060824445,0.00021280948,0.000032703396],"study_design_scores_gemma":[0.0013520865,0.000423552,0.99053484,0.0000060872085,0.00004598117,0.0000049222913,0.00081662927,0.00050416397,0.000025942303,0.006134049,0.00003830052,0.000113439615],"about_ca_topic_score_codex":0.0018007992,"about_ca_topic_score_gemma":0.30070022,"teacher_disagreement_score":0.2988994,"about_ca_system_score_codex":0.00041124204,"about_ca_system_score_gemma":0.000032533142,"threshold_uncertainty_score":0.71206015},"labels":[],"label_agreement":null},{"id":"W2138296561","doi":"10.1111/j.1466-8238.2006.00275.x","title":"A test of Metabolic Theory as the mechanism underlying broad‐scale species‐richness gradients","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Medical Protective Association; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Ecology; Range (aeronautics); Taxon; Body size and species richness; Macroecology; Biology; Geography","score_opus":0.008500883039974498,"score_gpt":0.20847673089668195,"score_spread":0.19997584785670744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138296561","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":[0.98677737,0.00024359807,0.000039976527,0.0003258639,0.0000621255,0.00013102975,0.000078458586,0.000019578889,0.012322022],"genre_scores_gemma":[0.9991107,0.00007662724,0.00017408625,0.00050856697,0.000016934577,0.000013711219,0.000012662421,0.0000017237244,0.000085013395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921477,0.00006161767,0.00015422645,0.00023042917,0.00010528721,0.00023369577],"domain_scores_gemma":[0.9996341,0.00012461275,0.00006978726,0.0001127057,0.000008609728,0.000050170947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012672528,0.00011185629,0.00014734287,0.000017270177,0.00017998017,0.000009635621,0.00020080783,0.00009478639,0.00039443074],"category_scores_gemma":[0.000023276025,0.00006441829,0.00009864704,0.00050245086,0.0008503721,0.00004128821,0.00016311022,0.00006725934,0.000050272207],"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":[0.000029927769,0.00043284008,0.7414636,0.000003479024,0.000029912202,0.0000024051083,0.000024748313,0.000006672038,0.11826775,0.13832174,0.00021744834,0.0011994878],"study_design_scores_gemma":[0.00010753505,0.00007227364,0.636579,0.0000013899272,0.000023748733,0.000005328118,0.000045988807,0.000006980142,0.0024593782,0.35976914,0.0008675191,0.000061765495],"about_ca_topic_score_codex":0.00032025875,"about_ca_topic_score_gemma":0.00020790432,"teacher_disagreement_score":0.2214474,"about_ca_system_score_codex":0.000008276231,"about_ca_system_score_gemma":0.0000035971193,"threshold_uncertainty_score":0.431874},"labels":[],"label_agreement":null},{"id":"W2138847278","doi":"10.1111/j.1466-8238.2010.00530.x","title":"The frog filter: amphibian introduction bias driven by taxonomy, body size and biogeography","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":58,"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":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; University of Sydney; Southern Regional Education Board","keywords":"Amphibian; Biogeography; Ecology; Sympatric speciation; Biology; Range (aeronautics); Taxonomic rank; Taxon; Taxonomy (biology)","score_opus":0.005081599699192403,"score_gpt":0.19097167958105352,"score_spread":0.18589007988186113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138847278","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":[0.99172664,0.00036802422,0.00000700773,0.004537159,0.0010179557,0.0003741256,0.00016298109,0.00006412288,0.0017419612],"genre_scores_gemma":[0.99757546,0.00078321854,0.0004898874,0.0007521617,0.00022381825,0.0000498442,0.000042713134,0.000006733617,0.00007615069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840933,0.00012125021,0.00024697074,0.00061941735,0.00010173718,0.0005013205],"domain_scores_gemma":[0.9992135,0.00013023261,0.00013354873,0.00030518943,0.000012862342,0.00020463651],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00030677958,0.00024080649,0.00021503179,0.000046644112,0.00069879135,0.00006722713,0.00025527482,0.0003613414,0.0005320049],"category_scores_gemma":[0.00006292845,0.00016221996,0.00012871476,0.00043310618,0.0031309272,0.000109799206,0.00028399305,0.0002467695,0.00007235279],"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":[0.000045294266,0.000063414234,0.95045114,0.0000018868167,0.000054079486,0.0000027517676,0.000009256942,2.481467e-7,0.0064975074,0.00045458623,0.035364565,0.0070552635],"study_design_scores_gemma":[0.00028118488,0.00019863922,0.6442851,8.595483e-7,0.000024817611,0.000056070396,0.000039569655,0.000009523288,0.00016786794,0.0008407995,0.35393333,0.00016225241],"about_ca_topic_score_codex":0.00035630155,"about_ca_topic_score_gemma":0.00336084,"teacher_disagreement_score":0.31856877,"about_ca_system_score_codex":0.0000150816295,"about_ca_system_score_gemma":0.000007845519,"threshold_uncertainty_score":0.999582},"labels":[],"label_agreement":null},{"id":"W2139565535","doi":"10.1111/j.1466-822x.2006.00194.x","title":"Distribution of abundance across the range in eastern North American trees","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Abundance (ecology); Range (aeronautics); Relative abundance distribution; Ecology; Macroecology; Rank abundance curve; Relative species abundance; Species distribution; Spatial distribution; Interspecific competition; Breeding bird survey; Geography; Biology; Species richness; Habitat","score_opus":0.0034202822848523424,"score_gpt":0.21684392838487723,"score_spread":0.2134236461000249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139565535","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":[0.9985073,0.00012332431,0.000031610703,0.00044205762,0.000049471004,0.00009155314,0.00012779626,0.000008028575,0.00061884103],"genre_scores_gemma":[0.9997059,0.00007790462,0.000027490934,0.00013047006,0.000006998444,0.000013310318,0.000025720645,9.863242e-7,0.000011216388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942297,0.000050550796,0.00013806543,0.00014838195,0.00004733743,0.00019267],"domain_scores_gemma":[0.9997813,0.000043293923,0.000086501925,0.00006819987,0.000006195776,0.000014520925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011277655,0.00007081154,0.000118933305,0.000009383845,0.00015366774,0.000004364829,0.00009073983,0.00003603504,0.000010465977],"category_scores_gemma":[0.000007950876,0.000050620347,0.000038109058,0.00047658815,0.0015303264,0.00004120045,0.000082744016,0.000049779475,0.000010534398],"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":[0.0000234331,0.00006437693,0.99784136,0.0000015853428,0.000009026245,0.0000017756071,0.000042051302,0.0001527322,0.000002759787,0.00034822884,0.000093977345,0.0014186908],"study_design_scores_gemma":[0.0002102605,0.000079577716,0.9981511,9.8211e-7,0.000006893729,0.0000023126581,0.00009001026,0.00012413114,0.0000017881894,0.0009692716,0.0003105069,0.000053168507],"about_ca_topic_score_codex":0.0025149256,"about_ca_topic_score_gemma":0.3553324,"teacher_disagreement_score":0.35281748,"about_ca_system_score_codex":0.000020964279,"about_ca_system_score_gemma":0.0000020422906,"threshold_uncertainty_score":0.6564311},"labels":[],"label_agreement":null},{"id":"W2141107993","doi":"10.1111/j.1466-8238.2010.00576.x","title":"Multimodality in the individual size distributions of bird communities","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":43,"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":"National Center For Environmental Assessment; McGill University","keywords":"Ecology; Breeding bird survey; Community; Resource distribution; Community structure; Consistency (knowledge bases); Biology; Distribution (mathematics); Biogeography; Resource (disambiguation); Geography; Abundance (ecology); Ecosystem","score_opus":0.008591506013472052,"score_gpt":0.23578889675831988,"score_spread":0.22719739074484782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141107993","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":[0.9970808,0.000026568181,0.0000066157754,0.00079885445,0.000102473,0.0001044387,0.00018767886,0.000012587103,0.0016800037],"genre_scores_gemma":[0.9992497,0.00003745858,0.00032353564,0.00035081754,0.0000042334773,0.000018145278,0.000014066606,9.894188e-7,0.0000010314782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994613,0.00012006197,0.00013212064,0.000085209955,0.000056414574,0.00014490414],"domain_scores_gemma":[0.99949914,0.00030787228,0.00005159917,0.0001152644,0.000007533759,0.000018589344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039552207,0.00006607236,0.00009961601,0.00001753353,0.00024278357,0.0000059393724,0.00019405305,0.00010933474,0.00013268633],"category_scores_gemma":[0.000054593336,0.0000469327,0.00003923947,0.00028490566,0.0015908907,0.000046121953,0.00014725894,0.00017069506,0.000008835564],"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":[0.000006805189,0.0001244618,0.99349517,0.0000019763363,0.000016598982,8.3382844e-7,0.0003119714,0.0000040816876,0.000024851202,0.0056287358,0.000082970684,0.00030154688],"study_design_scores_gemma":[0.00020514704,0.000055940094,0.9816787,7.404307e-7,0.00001543763,0.000006390768,0.00068714574,0.000027725775,0.0000038510084,0.01709052,0.00017938484,0.00004897663],"about_ca_topic_score_codex":0.0015565645,"about_ca_topic_score_gemma":0.13799393,"teacher_disagreement_score":0.13643736,"about_ca_system_score_codex":0.0000056295303,"about_ca_system_score_gemma":0.000004285403,"threshold_uncertainty_score":0.87773544},"labels":[],"label_agreement":null},{"id":"W2142791313","doi":"10.1111/j.1466-882x.2004.00067.x","title":"Local‐regional relationships and the geographical distribution of species","year":2004,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":35,"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":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México","keywords":"Quadrat; Beta diversity; Ecology; Null model; Alpha diversity; Range (aeronautics); Species distribution; Gamma diversity; Species diversity; Geography; Distribution (mathematics); Diversity (politics); Scale (ratio); Species richness; Biology; Habitat; Cartography; Transect; Mathematics","score_opus":0.00831256171167944,"score_gpt":0.19056362443095817,"score_spread":0.18225106271927874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142791313","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":[0.9896246,0.00017344636,0.00058476883,0.008747685,0.0000515082,0.00012139291,0.000032396856,0.0000126204095,0.0006515884],"genre_scores_gemma":[0.9991053,0.00018201846,0.000095277326,0.000557682,0.000008809405,0.000010539875,0.0000350697,9.846185e-7,0.0000043143486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939513,0.00009865801,0.00014192214,0.00016026986,0.00007238987,0.0001316351],"domain_scores_gemma":[0.999696,0.000113883696,0.00006276463,0.000076794844,0.00000962646,0.000040943156],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00025983874,0.000072756615,0.000105699815,0.00001750639,0.0003118484,0.0000062238146,0.000069639354,0.00014236273,0.00005247169],"category_scores_gemma":[0.0000380224,0.000050479088,0.000052306164,0.00034422227,0.0037175391,0.00007007418,0.00007428301,0.000103464525,0.000008827929],"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":[0.00007904213,0.000034807163,0.89480966,0.0000015050953,0.000018303874,8.3467836e-7,0.00002100636,0.000034997247,0.0000027076005,0.10447255,0.0002900335,0.00023457414],"study_design_scores_gemma":[0.00079822156,0.00006096386,0.9139186,0.0000023192586,0.0000285855,0.000031729393,0.00008397955,0.000021271555,0.0000040950895,0.08386502,0.0011344104,0.000050806084],"about_ca_topic_score_codex":0.00030172293,"about_ca_topic_score_gemma":0.0014332924,"teacher_disagreement_score":0.020607533,"about_ca_system_score_codex":0.000017406815,"about_ca_system_score_gemma":0.000007406245,"threshold_uncertainty_score":0.99899375},"labels":[],"label_agreement":null},{"id":"W2143098193","doi":"10.1111/geb.12154","title":"Seasonality drives global‐scale diversity patterns in waterfowl (<scp>A</scp>nseriformes) via temporal niche exploitation","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":61,"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":"Oticon Fonden; Aarhus Universitets Forskningsfond; McGill University","keywords":"Species richness; Waterfowl; Ecology; Body size and species richness; Range (aeronautics); Niche; Latitude; Seasonality; Biology; Breeding bird survey; Species diversity; Geography; Habitat","score_opus":0.0052643878830565885,"score_gpt":0.2058366241976985,"score_spread":0.2005722363146419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143098193","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":[0.9954991,0.00004745279,0.000451698,0.00036616475,0.00021737146,0.00017995264,0.00009255517,0.000044295823,0.0031014613],"genre_scores_gemma":[0.9986606,0.000086415916,0.00038022175,0.0007629344,0.000015709074,0.000019045001,0.00004982737,0.0000025955244,0.000022605116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986475,0.00019284604,0.00020986398,0.00042873708,0.0001233723,0.0003976944],"domain_scores_gemma":[0.99954396,0.0001049125,0.00010187941,0.0001270887,0.000015511432,0.00010666651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038215565,0.00018209835,0.00022661893,0.000024292436,0.00046988155,0.000015314616,0.00018776093,0.00021845869,0.00006679658],"category_scores_gemma":[0.00004739456,0.0001664389,0.000086507054,0.00035837805,0.0005492008,0.00021448493,0.0005606491,0.00010957479,0.00007719206],"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":[0.00001783548,0.0001281818,0.9980928,0.0000109292605,0.00003195472,0.000003908575,0.00025293353,0.000038298745,0.000009946057,0.0002846605,0.000295354,0.0008332139],"study_design_scores_gemma":[0.0005503389,0.00017089353,0.98263514,0.0000039700326,0.000026289501,0.0000073165347,0.00033991877,0.00046190474,0.000008579325,0.0153056625,0.00039660936,0.000093354596],"about_ca_topic_score_codex":0.0008802255,"about_ca_topic_score_gemma":0.04910447,"teacher_disagreement_score":0.048224244,"about_ca_system_score_codex":0.00008661839,"about_ca_system_score_gemma":0.000005137111,"threshold_uncertainty_score":0.9682469},"labels":[],"label_agreement":null},{"id":"W2146833082","doi":"10.1111/j.1466-8238.2010.00563.x","title":"Mind the gap: how do climate and agricultural management explain the ‘yield gap’ of croplands around the world?","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":607,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"University of Wisconsin-Madison; National Aeronautics and Space Administration","keywords":"Yield gap; Yield (engineering); Agriculture; Crop yield; Climate change; Environmental science; Crop; Spatial ecology; Agroforestry; Ecology; Biology","score_opus":0.01659121736270985,"score_gpt":0.22337433564378206,"score_spread":0.2067831182810722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146833082","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":[0.96533227,0.0007023591,5.9712114e-8,0.030270467,0.00030741218,0.00045968048,0.00034646122,0.000018540735,0.0025627671],"genre_scores_gemma":[0.99774355,0.0010016843,0.000018596686,0.00085242337,0.00021313176,0.00003303977,0.00004739486,6.518321e-7,0.00008955851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987971,0.00010500589,0.00018043185,0.00030649162,0.00016464789,0.00044632444],"domain_scores_gemma":[0.99916536,0.0004035003,0.00016515616,0.000119255164,0.000056197805,0.000090542395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004264425,0.00022633446,0.00019955616,0.000015445778,0.00078446313,0.00022977538,0.00042717083,0.00016107791,0.00014293357],"category_scores_gemma":[0.000026415619,0.000046963713,0.00013278544,0.0007640719,0.0007584081,0.00008989233,0.0002757224,0.0002620519,0.000004451413],"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":[0.000117366006,0.0001583188,0.92227626,0.000026527941,0.0002138777,0.000014470898,0.00026874538,3.3248736e-7,0.016205456,0.006209488,0.01733186,0.03717732],"study_design_scores_gemma":[0.00015345466,0.00015588332,0.9647161,0.000012514273,0.00008184369,0.000096411546,0.0045852987,0.0000014588999,0.00015618875,0.00054488773,0.029354403,0.00014159661],"about_ca_topic_score_codex":0.00008908985,"about_ca_topic_score_gemma":0.019676993,"teacher_disagreement_score":0.04243982,"about_ca_system_score_codex":0.0000059424374,"about_ca_system_score_gemma":0.0000015735365,"threshold_uncertainty_score":0.9982113},"labels":[],"label_agreement":null},{"id":"W2150171421","doi":"10.1111/j.1466-822x.2004.00093.x","title":"How fast and far might tree species migrate in the eastern United States due to climate change?","year":2004,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":293,"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":"Biological dispersal; Transect; Colonization; Ecology; Climate change; Species distribution; Environmental science; Biology; Geography; Population","score_opus":0.014859520633991988,"score_gpt":0.21483843907568778,"score_spread":0.1999789184416958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150171421","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":[0.9780931,0.00023654832,0.0000060824404,0.018492099,0.00007828973,0.00025784,0.00061059097,0.000022712527,0.0022027662],"genre_scores_gemma":[0.9921067,0.0012294622,0.000027505617,0.006407346,0.000018657962,0.00004123585,0.00014999053,0.000003142179,0.000015964382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990538,0.000056425506,0.000108170454,0.00027613158,0.00010962518,0.0003958657],"domain_scores_gemma":[0.9997161,0.000018267383,0.000040067454,0.00011709968,0.000007864279,0.00010061202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014063953,0.0001539362,0.00014385677,0.00007704099,0.00017883055,0.00009278831,0.00015879018,0.00008927136,0.00030018354],"category_scores_gemma":[0.0000075981707,0.00010652252,0.000042378382,0.0008596255,0.00043433116,0.00010587059,0.00015971891,0.00006807578,0.00007429086],"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":[0.00004001503,0.0000932904,0.99407697,0.0000060400903,0.00000917249,0.000043814405,0.0005596706,0.0000022776017,0.000051154337,0.0028378526,0.00068457413,0.0015951878],"study_design_scores_gemma":[0.0004654063,0.0001851574,0.9439282,0.0000055800583,0.000011650547,0.000037563816,0.005323067,0.000007059428,0.000021175212,0.00061834394,0.049266,0.00013081916],"about_ca_topic_score_codex":0.0012063561,"about_ca_topic_score_gemma":0.048974358,"teacher_disagreement_score":0.050148774,"about_ca_system_score_codex":0.00006261752,"about_ca_system_score_gemma":0.000001549023,"threshold_uncertainty_score":0.9683794},"labels":[],"label_agreement":null},{"id":"W2151308383","doi":"10.1111/j.1466-8238.2010.00541.x","title":"Changes in the distribution of native fishes in response to introduced species and other anthropogenic effects","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad de Concepción; Universidad de Chile; Brigham Young University; Universidad Austral de Chile; National Geographic Society","keywords":"Range (aeronautics); Ecology; Gambusia; Fauna; Biodiversity; Biology; Introduced species; Abundance (ecology); Species distribution; Geography; Fishery; Fish <Actinopterygii>; Habitat","score_opus":0.0042178963733103285,"score_gpt":0.21803282182929629,"score_spread":0.21381492545598596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151308383","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":[0.9927415,0.000023574688,0.0000014730429,0.006261123,0.000104204926,0.00028096224,0.000037928978,0.0000047274943,0.0005444932],"genre_scores_gemma":[0.99872303,0.0000565064,0.000027597715,0.0011425191,0.000008343406,0.000032891803,0.0000026366522,9.81012e-7,0.000005512013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993898,0.00014571469,0.00007907566,0.00018139038,0.000046000318,0.00015800106],"domain_scores_gemma":[0.999696,0.00017986189,0.000029807245,0.00007418997,0.000003211093,0.000016902884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004920982,0.00007359134,0.00011623533,0.000049432743,0.00008381787,0.0000047679123,0.00008669432,0.00007159363,0.000061694176],"category_scores_gemma":[0.00014038196,0.00005206173,0.000014636738,0.00040492121,0.0007433465,0.000031009473,0.00014757489,0.0000742003,0.0000035676992],"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":[0.00018366011,0.000085782915,0.99664116,0.000005066562,0.000011948837,0.000004355505,0.00026510385,8.166341e-7,0.00065419654,0.0005714559,0.0012744053,0.00030204622],"study_design_scores_gemma":[0.00028377143,0.00035175914,0.9940137,0.000002668155,0.000008553433,0.0000023647922,0.00032695165,0.0000016933978,0.00018465795,0.00096923293,0.0037992042,0.000055403616],"about_ca_topic_score_codex":0.0001986425,"about_ca_topic_score_gemma":0.105241664,"teacher_disagreement_score":0.105043024,"about_ca_system_score_codex":0.000012154336,"about_ca_system_score_gemma":0.0000015748008,"threshold_uncertainty_score":0.91108537},"labels":[],"label_agreement":null},{"id":"W2152793433","doi":"10.1111/geb.12281","title":"The global ocean is an ecosystem: simulating marine life and fisheries","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":98,"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":"Planbureau voor de Leefomgeving","keywords":"Fisheries management; Fishing; Trophic level; Environmental science; Food web; Stock assessment; Marine ecosystem; Ecosystem; Fishery; Ecosystem model; Climate change; Fish stock; Pelagic zone; Ecosystem-based management; Apex predator; Environmental resource management; Ecology; Biology","score_opus":0.014942356513427658,"score_gpt":0.24136630257886077,"score_spread":0.22642394606543312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152793433","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":[0.9188256,0.00005881025,0.0000024806548,0.0016907025,0.000113154034,0.00015268034,0.000064186584,0.00003209733,0.07906025],"genre_scores_gemma":[0.99865454,0.00012709612,0.00016295907,0.0009319634,0.00004277634,0.0000049861796,0.000012592862,0.0000034105676,0.000059689337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884176,0.00010816993,0.00017195761,0.00031768676,0.00017725192,0.00038314756],"domain_scores_gemma":[0.99933535,0.000043434986,0.00005019744,0.0001936315,0.000019490146,0.00035789362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037721978,0.00013751644,0.00014669703,0.0000121953435,0.00041740676,0.00012587968,0.00020652404,0.000118804615,0.00045182637],"category_scores_gemma":[0.00008209203,0.00009550028,0.000037729787,0.0003507308,0.0006162555,0.00019539347,0.0007550853,0.00008461299,0.000017002827],"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":[0.00006973152,0.000026027754,0.9770717,0.0000046854934,0.000023496867,0.00000689398,0.000037870843,0.0000022251006,2.9934276e-7,0.00035849924,0.003589495,0.018809097],"study_design_scores_gemma":[0.00036595637,0.00036556137,0.86018175,6.9492825e-7,0.000010537947,0.000027808466,0.00039869527,0.00079274434,7.5774165e-7,0.006382453,0.13134497,0.0001280409],"about_ca_topic_score_codex":0.0017100651,"about_ca_topic_score_gemma":0.009127519,"teacher_disagreement_score":0.12775548,"about_ca_system_score_codex":0.000041933585,"about_ca_system_score_gemma":0.000018337145,"threshold_uncertainty_score":0.50933695},"labels":[],"label_agreement":null},{"id":"W2153221451","doi":"10.1111/j.1466-8238.2010.00540.x","title":"Anthropogenic transformation of the biomes, 1700 to 2000","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1522,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biome; Biosphere; Human settlement; Geography; Land use; Ecology; Environmental change; Rangeland; Agricultural land; Agriculture; Physical geography; Agroforestry; Environmental science; Ecosystem; Climate change; Archaeology; Biology","score_opus":0.0028486869423673435,"score_gpt":0.1991892311646406,"score_spread":0.19634054422227326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153221451","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":[0.99568754,0.00003722664,0.0000029295147,0.0008879219,0.00032268005,0.00014499262,0.00007067142,0.000010436459,0.0028356165],"genre_scores_gemma":[0.9995299,0.000025998657,0.00006186765,0.00035811475,0.000012079606,0.000004843318,0.0000034351817,0.000001219835,0.000002539518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995384,0.000019060812,0.00011599511,0.00011583565,0.00006702586,0.0001436626],"domain_scores_gemma":[0.9997826,0.0000072250546,0.000035932306,0.00011678206,0.00000421124,0.0000532008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010230288,0.00006247344,0.00008093435,0.00002034141,0.00012496699,0.0000069820367,0.00014899166,0.00008655873,0.00075805635],"category_scores_gemma":[0.0000019982751,0.000036701338,0.00005539572,0.0004165796,0.0000902743,0.00007143365,0.000058316753,0.000041219933,0.00009018267],"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":[0.000011572103,0.000032106123,0.9951769,0.0000065393638,0.00001156338,2.550236e-7,0.000077434015,0.000005256281,0.0018655547,0.00014236511,0.00024056254,0.0024298802],"study_design_scores_gemma":[0.00013979478,0.000062635074,0.9805675,0.0000023085236,0.000014227737,0.0000099445915,0.00003179602,0.000025705927,0.0010525782,0.00054290856,0.017494157,0.000056407665],"about_ca_topic_score_codex":0.0008057139,"about_ca_topic_score_gemma":0.01594235,"teacher_disagreement_score":0.017253594,"about_ca_system_score_codex":0.000007122445,"about_ca_system_score_gemma":0.000005421284,"threshold_uncertainty_score":0.8896206},"labels":[],"label_agreement":null},{"id":"W2153732717","doi":"10.1111/j.1466-8238.2009.00453.x","title":"The relationship between local and regional diatom richness is mediated by the local and regional environment","year":2009,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Texas at Arlington; McGill University","keywords":"Species richness; Watershed; Diatom; Environmental science; Ecology; Variance (accounting); STREAMS; Hydrology (agriculture); Biology; Geology","score_opus":0.008260062136118069,"score_gpt":0.20370784329104905,"score_spread":0.19544778115493097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153732717","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":[0.9833089,0.0012238102,0.0003074353,0.014717532,0.000037348305,0.00015061318,0.00008569233,0.000017828886,0.00015085415],"genre_scores_gemma":[0.9969096,0.0008243785,0.000030626925,0.00213099,0.00001728012,0.000009212122,0.000059528633,0.0000028416418,0.00001552585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989334,0.00009719655,0.000169334,0.0003258824,0.0001846847,0.0002895056],"domain_scores_gemma":[0.9993162,0.00034808207,0.00006512457,0.00013809493,0.0000036383037,0.00012886328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002387389,0.00015299841,0.00012075949,0.000018870864,0.00068442756,0.000032784268,0.00015220695,0.00017669464,0.000009665408],"category_scores_gemma":[0.000009601099,0.00009022833,0.000043375017,0.00021047874,0.002412348,0.00007591928,0.00012382295,0.00014579392,0.000016447622],"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":[0.00003361602,0.000030664414,0.98855114,9.957142e-7,0.000018732691,0.0000018104404,0.000046472156,0.00000423784,6.500363e-7,0.0008949545,0.0051190453,0.005297684],"study_design_scores_gemma":[0.00036983305,0.00013338854,0.9334562,0.0000022240574,0.000032802684,0.000028197543,0.00010098255,0.00018226771,0.000001209963,0.045693494,0.019882288,0.00011711658],"about_ca_topic_score_codex":0.000116741925,"about_ca_topic_score_gemma":0.00004123088,"teacher_disagreement_score":0.055094942,"about_ca_system_score_codex":0.00003703136,"about_ca_system_score_gemma":0.0000047800927,"threshold_uncertainty_score":0.88883966},"labels":[],"label_agreement":null},{"id":"W2155109087","doi":"10.1111/geb.12065","title":"Climate change‐induced shifts in fire for <scp>M</scp>editerranean ecosystems","year":2013,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Natural Resources Canada; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Ministère de la Transition écologique et Solidaire","keywords":"Biome; Fire regime; Environmental science; Climate change; Ecosystem; Mediterranean climate; Fire ecology; Climatology; Precipitation; Atmospheric sciences; Global change; Ecology; Physical geography; Geography; Meteorology; Biology; Geology","score_opus":0.010470266721837514,"score_gpt":0.2168246205324854,"score_spread":0.2063543538106479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155109087","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":[0.9938707,0.00020355916,0.00000218112,0.00033904173,0.0009630088,0.0017967323,0.00016837464,0.00007477752,0.0025816783],"genre_scores_gemma":[0.9982511,0.0000634844,0.0001237767,0.0005929853,0.00012789413,0.0007837839,0.0000372442,0.000012191722,0.0000075344583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998112,0.00012655418,0.0003173093,0.0005344478,0.00012894027,0.0007807274],"domain_scores_gemma":[0.9992379,0.0002168685,0.00013161704,0.00022069314,0.000011586062,0.00018133118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042884014,0.00024754283,0.00033357984,0.00008273806,0.0001723028,0.0000526611,0.0002466333,0.000312659,0.00013362791],"category_scores_gemma":[0.00006417874,0.00022115906,0.00011939638,0.0005223072,0.00014011905,0.00031885217,0.00016884392,0.00010519107,0.0004337784],"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":[0.000007725249,0.0000898547,0.9819403,0.000058380425,0.000017232936,0.000008131389,0.00012279533,6.83878e-7,0.00033001642,0.000059990896,0.0049267034,0.012438171],"study_design_scores_gemma":[0.0007283161,0.0004266295,0.9909118,0.000032383316,0.000014598578,0.000015857077,0.000118939075,0.0015221583,0.000038910704,0.0006191295,0.005448314,0.00012299218],"about_ca_topic_score_codex":0.0033641604,"about_ca_topic_score_gemma":0.010982556,"teacher_disagreement_score":0.012315179,"about_ca_system_score_codex":0.00007366921,"about_ca_system_score_gemma":0.000003928705,"threshold_uncertainty_score":0.9018605},"labels":[],"label_agreement":null},{"id":"W2155617114","doi":"10.1111/j.1466-822x.2005.00160.x","title":"Changes in the diversity structure of avian assemblages in North America","year":2005,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":40,"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. Geological Survey","keywords":"Species evenness; Species richness; Ecology; Abundance (ecology); Geography; Relative species abundance; Gamma diversity; Biodiversity; Species diversity; Canonical correspondence analysis; Ordination; Alpha diversity; Beta diversity; Biology","score_opus":0.004353868312399425,"score_gpt":0.20207807630254107,"score_spread":0.19772420799014165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155617114","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":[0.9972815,0.00008706121,0.0000012220538,0.0015563399,0.000034019587,0.00008919417,0.00003929775,0.000004035297,0.00090731494],"genre_scores_gemma":[0.9986303,0.0002092336,0.000104313556,0.0010379463,0.00000565689,0.0000025399274,0.0000073181895,6.118457e-7,0.000002120957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951327,0.00007158588,0.00008046925,0.00013549696,0.000051695886,0.00014748579],"domain_scores_gemma":[0.9998308,0.00004472476,0.00004664377,0.00005981368,0.0000032333653,0.000014824942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007214294,0.00006475203,0.000105925865,0.00004395634,0.00012638161,0.0000022512884,0.00013431194,0.00006928508,0.00008078531],"category_scores_gemma":[0.000009718486,0.000046802477,0.000021243146,0.00046893622,0.0004370535,0.00004326323,0.00019235632,0.000073786156,0.000004903573],"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":[0.000010074303,0.00005233966,0.9973203,0.000002065458,0.000008386534,0.0000032758753,0.0005298952,0.00012297824,0.000014224741,0.00010474732,0.000053819233,0.0017778977],"study_design_scores_gemma":[0.00017411899,0.00007014982,0.99819446,8.2182396e-7,0.0000074258364,0.0000023545458,0.0003481771,0.00003829302,0.000003854701,0.00086669123,0.00024514017,0.00004854262],"about_ca_topic_score_codex":0.00042564733,"about_ca_topic_score_gemma":0.54243445,"teacher_disagreement_score":0.5420088,"about_ca_system_score_codex":0.000018500497,"about_ca_system_score_gemma":0.0000017662808,"threshold_uncertainty_score":0.46591493},"labels":[],"label_agreement":null},{"id":"W2158469582","doi":"10.1111/j.1466-8238.2010.00626.x","title":"PACT in practice: comparative historical biogeographic patterns and species-area relationships of the Greater Antillean and Hawaiian Island terrestrial biotas","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ecology; Insular biogeography; Taxon; Cladogram; Biogeography; Biology; Geography; Phylogenetic tree","score_opus":0.05419055454720757,"score_gpt":0.2342805405447056,"score_spread":0.18008998599749804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158469582","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":[0.9903325,0.002924927,0.00000243375,0.0007349546,0.00027689213,0.00018373043,0.00024073396,0.000009468284,0.005294374],"genre_scores_gemma":[0.9985721,0.0011917771,0.00007797788,0.00011774091,0.000019156063,0.0000012333904,0.000011732365,7.857642e-7,0.000007476353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988584,0.00036231932,0.00022982268,0.00026049616,0.000075827695,0.00021312395],"domain_scores_gemma":[0.9994092,0.00025858864,0.0001330858,0.00010185673,0.00002440232,0.000072865274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002844711,0.00014208203,0.00025598708,0.00015082103,0.0002758566,0.000012089,0.00008260031,0.00016407932,0.00008229222],"category_scores_gemma":[0.000066429515,0.00009063728,0.000054835145,0.00038423072,0.0007844421,0.00012164825,0.000028452767,0.00017430208,0.0000017757491],"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":[0.00021074568,0.000031292908,0.99844885,0.000005993054,0.000083144194,0.000008035865,0.0005947974,2.3669696e-7,8.1117463e-7,0.0001809228,0.00023938483,0.00019579844],"study_design_scores_gemma":[0.0005230465,0.00029448,0.996503,0.000017372888,0.000074313975,0.00005463358,0.00097445335,0.000018889374,0.0000015670587,0.0003629283,0.0010679585,0.000107332315],"about_ca_topic_score_codex":0.0063022897,"about_ca_topic_score_gemma":0.22547993,"teacher_disagreement_score":0.21917763,"about_ca_system_score_codex":0.000004835713,"about_ca_system_score_gemma":0.000014709554,"threshold_uncertainty_score":0.9527219},"labels":[],"label_agreement":null},{"id":"W2159727077","doi":"10.1111/geb.12322","title":"Multi‐hierarchical macroecology at species and genetic levels to discern neutral and non‐neutral processes","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":50,"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":"National Eye Institute; Xunta de Galicia; McGill University","keywords":"Biology; DNA barcoding; Intraspecific competition; Evolutionary biology; Neutral theory of molecular evolution; Range (aeronautics); Macroecology; Lineage (genetic); Assemblage (archaeology); Haplotype; Ecology; Species richness; Allele; Genetics","score_opus":0.037594203263177146,"score_gpt":0.22822329155021556,"score_spread":0.19062908828703842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159727077","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":[0.9948189,0.0011885135,6.301422e-7,0.002967947,0.00007400632,0.00020021915,0.00043898384,0.000033337103,0.0002774313],"genre_scores_gemma":[0.99829674,0.0005063475,0.00029593814,0.0006966219,0.00010437752,0.000016645288,0.00001449428,6.8866933e-7,0.00006811991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989159,0.00004364795,0.00015032159,0.0004104399,0.000055482506,0.00042417058],"domain_scores_gemma":[0.9995107,0.00008754882,0.000038633247,0.00001811166,0.000047895897,0.00029713387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072760275,0.00019062459,0.0002627973,0.000020039924,0.0003449443,0.000049493603,0.000109572065,0.00014742407,0.000017831937],"category_scores_gemma":[0.000032067866,0.0000815175,0.000038551283,0.0002762545,0.0005476692,0.00005121555,0.00032752744,0.000075396674,0.000009836854],"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":[0.00012287762,0.000058498434,0.99126405,0.000011799564,0.000029798777,0.0000302225,0.00006546969,3.157748e-7,0.0056981603,0.0000758021,0.0006794249,0.0019635926],"study_design_scores_gemma":[0.00032042345,0.0009254263,0.9913872,0.0000055017777,0.000024153338,0.00013672616,0.0001678856,0.000004181282,0.00015870579,0.0007131817,0.0059635746,0.00019303168],"about_ca_topic_score_codex":0.00016330957,"about_ca_topic_score_gemma":0.0477354,"teacher_disagreement_score":0.04757209,"about_ca_system_score_codex":0.000010895613,"about_ca_system_score_gemma":0.000008098832,"threshold_uncertainty_score":0.969641},"labels":[],"label_agreement":null},{"id":"W2160430275","doi":"10.1111/geb.12198","title":"Have old species reached most environmentally suitable areas? A case study with<scp>S</scp>outh<scp>A</scp>merican phyllostomid bats","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; AGE-WELL","keywords":"Lineage (genetic); Range (aeronautics); Ecological niche; Niche; Biology; Ecology; Species distribution; Evolutionary biology; Zoology","score_opus":0.009533578794027005,"score_gpt":0.2101769186926182,"score_spread":0.2006433398985912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160430275","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":[0.948748,0.00011035427,0.000013449733,0.00011106158,0.0001518886,0.0006656264,0.00058569777,0.00010181912,0.0495121],"genre_scores_gemma":[0.99787223,0.00011571485,0.00006999109,0.0009826085,0.000049652164,0.00009717538,0.00018085772,0.000019103212,0.0006126557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971485,0.00022033115,0.00035888542,0.00092195405,0.00039313434,0.0009571525],"domain_scores_gemma":[0.99857455,0.00026447256,0.00023499949,0.00048092465,0.00001912549,0.0004258948],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039704976,0.00047891785,0.00048309824,0.00009259365,0.0006242723,0.00011476491,0.0003477954,0.00024704574,0.0015645302],"category_scores_gemma":[0.00012913176,0.0004091739,0.0001438367,0.0007484908,0.0014202239,0.00021140747,0.00045399793,0.00023244182,0.00034356167],"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":[0.000020161107,0.00095847173,0.9898934,0.000006992291,0.00011865829,0.00042751143,0.000636504,0.000005464025,0.0003935154,0.00019284307,0.006970195,0.00037631555],"study_design_scores_gemma":[0.0014418234,0.001412722,0.8969541,0.0000048788966,0.00013892775,0.00079631654,0.050320823,0.000018195286,0.00017804533,0.0000793257,0.048509076,0.00014572352],"about_ca_topic_score_codex":0.0024236299,"about_ca_topic_score_gemma":0.01350649,"teacher_disagreement_score":0.09293923,"about_ca_system_score_codex":0.00028762285,"about_ca_system_score_gemma":0.000011214992,"threshold_uncertainty_score":0.999836},"labels":[],"label_agreement":null},{"id":"W2162147170","doi":"10.1046/j.1466-822x.2002.00294.x","title":"The global distribution of cultivable lands: current patterns and sensitivity to possible climate change","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":654,"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":"National Aeronautics and Space Administration","keywords":"Climate change; Tropics; Precipitation; Geography; Land cover; Latitude; Global change; Climatology; Northern Hemisphere; Representative Concentration Pathways; Climate model; Environmental science; Physical geography; Land use; Ecology; Geology","score_opus":0.014283427392859687,"score_gpt":0.22477347609018042,"score_spread":0.21049004869732074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162147170","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":[0.9952536,0.0011188065,0.0000010633468,0.0010919749,0.00015417681,0.00016441559,0.0020668288,0.000023894896,0.0001252342],"genre_scores_gemma":[0.9974581,0.0022355109,0.0000048049587,0.00016263333,0.00005377825,0.000011467523,0.00007284736,2.3609986e-7,6.401229e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992452,0.0000777293,0.00011772959,0.00019726196,0.000075975244,0.00028606976],"domain_scores_gemma":[0.99970174,0.000059313985,0.000052695024,0.00003780315,0.00004579467,0.000102680635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016789621,0.00010409227,0.0001314424,0.000004878994,0.00026140476,0.000031470296,0.00005216481,0.00008383472,0.000007971249],"category_scores_gemma":[0.000017218417,0.0000394737,0.0000640665,0.00035630626,0.00012754615,0.000041766554,0.00010972752,0.000045988792,0.0000033549604],"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":[0.000027006272,0.000053819273,0.9457697,0.000005074812,0.000011030887,0.0000024573717,0.000007806274,8.324202e-8,0.000038173497,0.00091698754,0.000061134306,0.053106714],"study_design_scores_gemma":[0.00011534237,0.00022144902,0.9972407,0.0000095033065,0.000017041997,0.000023407489,0.000066604545,0.00025448806,0.000018469033,0.00044413816,0.0015017622,0.00008706193],"about_ca_topic_score_codex":0.0006997699,"about_ca_topic_score_gemma":0.010312316,"teacher_disagreement_score":0.05301965,"about_ca_system_score_codex":0.000014513523,"about_ca_system_score_gemma":0.0000010141862,"threshold_uncertainty_score":0.57545143},"labels":[],"label_agreement":null},{"id":"W2162319555","doi":"10.1111/j.1466-8238.2012.00762.x","title":"A unified framework for diversity gradients: the adaptive trait continuum","year":2012,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":55,"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":"Uppsala Universitet; McGill University; Harvard University","keywords":"Ecology; Biological dispersal; Biology; Species richness; Trait; Butterfly; Generalist and specialist species; Habitat; Population","score_opus":0.011264147461341797,"score_gpt":0.22616291534020436,"score_spread":0.21489876787886256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162319555","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":[0.99282056,0.00023873067,0.0016718833,0.0010808103,0.00048659966,0.00033666234,0.00011823162,0.000026189917,0.0032203263],"genre_scores_gemma":[0.99655604,0.000043993212,0.0019322439,0.0013658968,0.00003056788,0.000035369812,0.0000068352306,0.0000017664522,0.000027264367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929714,0.00006089254,0.00009084292,0.00016652042,0.00005028263,0.0003343472],"domain_scores_gemma":[0.9995756,0.00020598999,0.00006190782,0.0000794229,0.000010493276,0.00006658738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025765135,0.000099240686,0.00011769338,0.000015965881,0.0009533629,0.0000058618725,0.00013755949,0.00014303945,0.00009411501],"category_scores_gemma":[0.00004664457,0.00006974378,0.00008284611,0.00020786149,0.0008122815,0.00009309821,0.00029997653,0.00008432657,0.000022562524],"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":[0.00005405309,0.000075539836,0.93857414,0.0000014649353,0.000078164376,3.6346e-7,0.00030762507,0.0000016651393,0.0000013434009,0.05924881,0.001189597,0.00046726927],"study_design_scores_gemma":[0.0002465535,0.00013581713,0.9063728,0.0000012600361,0.000058727477,0.0000036892015,0.00034443702,0.000020381192,0.0000017505181,0.09094903,0.0017840448,0.00008151057],"about_ca_topic_score_codex":0.00007750721,"about_ca_topic_score_gemma":0.0023680474,"teacher_disagreement_score":0.032201305,"about_ca_system_score_codex":0.000025572055,"about_ca_system_score_gemma":0.0000021040487,"threshold_uncertainty_score":0.73325926},"labels":[],"label_agreement":null},{"id":"W2163973911","doi":"10.1111/j.1466-8238.2011.00727.x","title":"The biogeography and filtering of woody plant functional diversity in North and South America","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":320,"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, Okanagan Campus; University of British Columbia","funders":"University of British Columbia; University of Arizona; Michigan State University","keywords":"Species richness; Ecology; Abiotic component; Biogeography; Macroecology; Biology; Biodiversity; Trait; Null model; Spatial ecology; Species distribution; Functional ecology; Geography; Ecosystem; Habitat","score_opus":0.011651447960568438,"score_gpt":0.17642836628436423,"score_spread":0.1647769183237958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163973911","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":[0.99846536,0.00029733597,0.000012921341,0.000082315586,0.00007279225,0.00008382048,0.000094000075,0.000007884508,0.00088355655],"genre_scores_gemma":[0.99904305,0.0006387229,0.00018293962,0.0001173587,0.0000028709721,0.0000057608518,0.000006013006,0.0000010372959,0.0000022436025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994356,0.000040128125,0.00011354252,0.00019329709,0.000047900932,0.00016954173],"domain_scores_gemma":[0.9997729,0.000056951307,0.000066271394,0.00005609731,0.0000058019154,0.000041962943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000901361,0.00008536615,0.000114801376,0.000049700047,0.00044889085,0.000004395441,0.00006403366,0.000060840794,0.000026912916],"category_scores_gemma":[0.000009334221,0.000063235566,0.000029674167,0.00028395225,0.0014194679,0.00005195486,0.00043466908,0.000060282386,0.0000020144282],"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":[0.0000676102,0.00003332388,0.9983738,0.0000034496304,0.00004445605,0.0000030114852,0.0004016388,0.0000023961668,0.0000051509473,0.00036396776,0.00003151173,0.00066969875],"study_design_scores_gemma":[0.00024663188,0.0001427594,0.9971167,0.0000014435792,0.000019919316,0.0000071765176,0.00037938022,0.00004057607,0.0000018846749,0.0018682458,0.00010641401,0.000068898524],"about_ca_topic_score_codex":0.00046503142,"about_ca_topic_score_gemma":0.014540546,"teacher_disagreement_score":0.014075514,"about_ca_system_score_codex":0.000005895864,"about_ca_system_score_gemma":0.0000021277322,"threshold_uncertainty_score":0.81139654},"labels":[],"label_agreement":null},{"id":"W2164060137","doi":"10.1111/j.1466-822x.2006.00205.x","title":"A global model of island biogeography","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":179,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Insular biogeography; Biogeography; Ecology; Abiotic component; Macroecology; Habitat; Range (aeronautics); Geography; Global biodiversity; Physical geography; Biology","score_opus":0.0057790196134482425,"score_gpt":0.21341442145680548,"score_spread":0.20763540184335724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164060137","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":[0.9801172,0.00037301678,0.00009481936,0.0002031029,0.00009812663,0.00015062027,0.0004733856,0.000041866184,0.018447883],"genre_scores_gemma":[0.9986951,0.00009463994,0.000902032,0.00023676016,0.000014680375,0.000015729047,0.000017344571,0.0000029090418,0.000020802474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881124,0.000038699305,0.00025813247,0.0003804255,0.000119021235,0.0003924591],"domain_scores_gemma":[0.9996551,0.000018716943,0.00010947493,0.00013455606,0.000015349679,0.00006675177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012295465,0.00019617274,0.00027612326,0.000046659014,0.00025867703,0.0000078596195,0.00016827162,0.0002368,0.00024116374],"category_scores_gemma":[0.0000059192553,0.00016711635,0.00016813622,0.0006893582,0.0015376813,0.000083547944,0.0002468796,0.00006073857,0.000028946832],"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":[0.000061500556,0.00022611838,0.99170715,0.000004541694,0.00003608801,0.00000627629,0.0000061216474,0.00011327074,0.00015967304,0.0037271264,0.0034891847,0.0004629691],"study_design_scores_gemma":[0.0004186172,0.000257354,0.9742122,0.000002226888,0.00008484143,0.000016951657,0.000025606932,0.00013428475,0.000027618993,0.024031667,0.0006163835,0.00017222404],"about_ca_topic_score_codex":0.0014576551,"about_ca_topic_score_gemma":0.014088836,"teacher_disagreement_score":0.02030454,"about_ca_system_score_codex":0.000028652463,"about_ca_system_score_gemma":0.000008858766,"threshold_uncertainty_score":0.7861901},"labels":[],"label_agreement":null},{"id":"W2165092068","doi":"10.1111/j.1466-8238.2008.00439.x","title":"Past and future range shifts and loss of diversity in dwarf willow (<i>Salix herbacea </i>L.) inferred from genetics, fossils and modelling","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":150,"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":"Macrofossil; Genetic diversity; Ecology; Range (aeronautics); Last Glacial Maximum; Glacial period; Biological dispersal; Species distribution; Climate change; Environmental niche modelling; Biodiversity; Biology; Geography; Population; Paleontology; Pollen; Ecological niche; Habitat; Demography","score_opus":0.012418136265885478,"score_gpt":0.20837301337914962,"score_spread":0.19595487711326415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165092068","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":[0.9907691,0.008336088,0.000052853993,0.00017425009,0.00010173732,0.000120357065,0.0003692481,0.0000049878395,0.00007141469],"genre_scores_gemma":[0.989784,0.009045867,0.00083946175,0.00017780419,0.00007225065,0.0000010311384,0.00007343709,0.0000029797727,0.0000031388076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992193,0.000053464344,0.0001419026,0.00034398137,0.0000667445,0.00017463109],"domain_scores_gemma":[0.9996733,0.000010275401,0.00006855324,0.00010968463,0.00003853136,0.000099665966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005834455,0.00015268386,0.00021192974,0.000055343244,0.00019268096,0.0000099539275,0.00007085519,0.00032990868,0.0000053956046],"category_scores_gemma":[0.0000034180514,0.00015093877,0.000041156934,0.00011351824,0.00046800415,0.000008011211,0.00028844763,0.00006859178,1.6219288e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001480197,0.000023991553,0.9979913,0.000016184207,0.000064577405,0.000010506594,0.00022572603,0.000024046825,0.00026961474,0.000048159654,0.00008285135,0.0010950054],"study_design_scores_gemma":[0.0012383896,0.00014878203,0.995235,0.0000057889038,0.00004367345,0.000026150912,0.00013410409,0.000051013325,0.00010751936,0.0011104348,0.001741436,0.00015765846],"about_ca_topic_score_codex":0.00042434267,"about_ca_topic_score_gemma":0.00066907366,"teacher_disagreement_score":0.0027562673,"about_ca_system_score_codex":0.0000030697072,"about_ca_system_score_gemma":0.000012798026,"threshold_uncertainty_score":0.6155104},"labels":[],"label_agreement":null},{"id":"W2168302772","doi":"10.1046/j.1466-822x.2001.t01-1-00250.x","title":"Design and test of a generic cohort model of soil organic matter decomposition: the SOMKO model","year":2001,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Soil organic matter; Environmental science; Decomposition; Biomass (ecology); Nitrification; Vegetation (pathology); Organic matter; Soil carbon; Ecosystem; Ecology; Nitrogen; Soil science; Soil water; Chemistry; Biology","score_opus":0.006712683862254431,"score_gpt":0.19514103366631352,"score_spread":0.1884283498040591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168302772","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":[0.9944362,0.00008303318,0.004498341,0.0003121612,0.000022512397,0.00014049947,0.000033030057,0.000008391915,0.00046582829],"genre_scores_gemma":[0.99705327,0.00033640632,0.0020983825,0.00048173178,0.0000040838013,0.00000868194,0.0000059569315,0.0000031305283,0.000008335951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993902,0.00002922215,0.00015316546,0.0001851045,0.00007819216,0.00016411052],"domain_scores_gemma":[0.99972326,0.00003823358,0.00006584143,0.00011862575,0.000009604912,0.000044411503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119542645,0.0000964709,0.00013486696,0.000023837329,0.00009388383,0.0000062386302,0.000113893315,0.00008476628,0.00003205059],"category_scores_gemma":[0.000002571988,0.00006660124,0.00003892309,0.00024261708,0.0005393364,0.000055015935,0.00012175845,0.000039229173,0.00000640419],"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":[0.000029456043,0.000093102775,0.9837112,0.000003914098,0.00002108906,0.0000010799678,0.000027145772,0.01499565,0.00067601085,0.000047140125,0.00023203902,0.00016218636],"study_design_scores_gemma":[0.00024141009,0.00010053587,0.6936015,0.0000023501416,0.000051505376,0.000035086352,0.000010191434,0.29015413,0.00015069639,0.015568856,0.000005484779,0.00007825083],"about_ca_topic_score_codex":0.000076227036,"about_ca_topic_score_gemma":0.000039506274,"teacher_disagreement_score":0.29010966,"about_ca_system_score_codex":0.000012272139,"about_ca_system_score_gemma":0.000006497851,"threshold_uncertainty_score":0.271592},"labels":[],"label_agreement":null},{"id":"W2168514107","doi":"10.1111/j.1466-8238.2011.00657.x","title":"Predicting potential climate change impacts with bioclimate envelope models: a palaeoecological perspective","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":95,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Center for Atmospheric Research","keywords":"Biome; Holocene; Paleoecology; Climate change; Physical geography; Ecosystem; Pleistocene; Ecology; Geography; Biosphere; Quaternary; Climatology; Environmental science; Geology; Paleontology; Archaeology; Biology","score_opus":0.028615626217212236,"score_gpt":0.23025101918933172,"score_spread":0.2016353929721195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168514107","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":[0.9741622,0.0019343734,0.00000841823,0.00048529022,0.00022030828,0.0003857127,0.000293043,0.00011051844,0.022400089],"genre_scores_gemma":[0.9964138,0.001964408,0.0008347651,0.0006412843,0.000055751985,0.000015541462,0.00006974271,0.0000029718358,0.0000017211455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775785,0.00025202034,0.00021966071,0.00058453187,0.00013915528,0.0010467506],"domain_scores_gemma":[0.9992474,0.000079469544,0.00010991701,0.00016202351,0.000111921094,0.0002892836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004398424,0.0002662602,0.00034246803,0.00018040765,0.00058450876,0.000027868715,0.00024271,0.00042593712,0.00085155905],"category_scores_gemma":[0.000025428755,0.00018448941,0.00009314581,0.00049607304,0.0012015798,0.00029623057,0.00007426039,0.00030086862,0.000115484065],"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":[0.000714844,0.00007279272,0.99578786,0.000017968288,0.00012429536,0.00034701845,0.0003088956,0.000007222446,3.5456623e-7,0.0020955435,0.000009402254,0.0005138179],"study_design_scores_gemma":[0.0006626858,0.0014171755,0.9815626,0.000011444521,0.00007200528,0.0007489346,0.0007716589,0.0006609922,0.0000039285464,0.013844958,0.000012513254,0.00023111099],"about_ca_topic_score_codex":0.0015455002,"about_ca_topic_score_gemma":0.0161678,"teacher_disagreement_score":0.022398368,"about_ca_system_score_codex":0.0000026814337,"about_ca_system_score_gemma":0.00004185112,"threshold_uncertainty_score":0.9323974},"labels":[],"label_agreement":null},{"id":"W2169902021","doi":"10.1111/j.1466-8238.2011.00730.x","title":"Evolutionary size changes in plants of the south‐west Pacific","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":75,"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":"Victoria University; University of Victoria","keywords":"Herbarium; Biology; Ecology; Taxon; Leaf size; Mainland; Subgenus; Mainland China; Geography; Genus; Botany; China","score_opus":0.013966755673961172,"score_gpt":0.16351196749719635,"score_spread":0.14954521182323519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169902021","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":[0.9967179,0.00018017889,2.564968e-8,0.0003583131,0.0001454626,0.000056800887,0.0005768279,0.000011752702,0.0019527603],"genre_scores_gemma":[0.99970645,0.00012308384,0.000017468372,0.000107840155,0.0000172047,0.0000019371969,0.000015872183,9.103987e-8,0.000010083067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953026,0.0000521113,0.000072857205,0.00013018539,0.000052511492,0.00016208123],"domain_scores_gemma":[0.9998418,0.000041031646,0.000048598995,0.000025572224,0.000012999084,0.000029963434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007891034,0.00006235284,0.00008982766,0.000010733582,0.00012432564,0.0000025911672,0.00013135945,0.000120915545,0.00013845041],"category_scores_gemma":[0.000012441858,0.000023050476,0.00004648978,0.00029033996,0.00021065127,0.000033998156,0.00007551986,0.00004831376,0.000007193293],"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":[0.00005477907,0.000054946577,0.9973986,0.0000020818197,0.000008412012,0.0000024709693,0.000065559085,5.6543055e-8,0.001066846,0.00021744685,0.00023247389,0.0008962889],"study_design_scores_gemma":[0.000088996916,0.00010936823,0.99685824,0.000007076217,0.000006650392,0.000010999808,0.0005611886,0.0000013125974,0.00006160341,0.0013446234,0.0008948852,0.00005507025],"about_ca_topic_score_codex":0.00061942876,"about_ca_topic_score_gemma":0.007729548,"teacher_disagreement_score":0.0071101193,"about_ca_system_score_codex":0.0000065135478,"about_ca_system_score_gemma":0.0000032567161,"threshold_uncertainty_score":0.43132693},"labels":[],"label_agreement":null},{"id":"W2169902438","doi":"10.1111/j.1466-8238.2008.00425.x","title":"Global‐scale patterns of nutrient resorption associated with latitude, temperature and precipitation","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":294,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Evergreen; Resorption; Latitude; Nutrient; Precipitation; Deciduous; Shrub; Environmental science; Ecology; Tropics; Agronomy; Biology; Geology; Geography","score_opus":0.005454917667546515,"score_gpt":0.1866163707408708,"score_spread":0.1811614530733243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169902438","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":[0.99874336,0.00026287106,7.992234e-7,0.00020346974,0.000049182356,0.00014073958,0.0004288131,0.000030734802,0.00014000606],"genre_scores_gemma":[0.9992557,0.00034747305,0.000042908083,0.00015486198,0.000018994297,0.0000069663997,0.00016781094,3.356081e-7,0.0000049392806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993495,0.00006415257,0.00012408939,0.00020443118,0.00010122188,0.0001566272],"domain_scores_gemma":[0.99969965,0.000041116193,0.00008483495,0.000027940116,0.00008085704,0.00006562356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007765339,0.00010388172,0.0001512356,0.000011554066,0.00014161422,0.0000106267535,0.00005254542,0.00017905561,0.000010257158],"category_scores_gemma":[0.000013860534,0.000043916854,0.00004571193,0.00042524736,0.00016867355,0.000050555245,0.00002957686,0.0000460304,3.776351e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007512951,0.00009560151,0.99824786,0.0000033015995,0.000035957928,0.0000036944646,0.000020959036,0.0000011079381,0.0005582393,0.00031589833,0.00004232842,0.00059993064],"study_design_scores_gemma":[0.00031653643,0.0005999458,0.9980322,0.000012700556,0.00002593413,0.000029012526,0.00009138149,0.000025259364,0.00006260643,0.00065076456,0.00005908726,0.0000945339],"about_ca_topic_score_codex":0.00033340292,"about_ca_topic_score_gemma":0.011788263,"teacher_disagreement_score":0.01145486,"about_ca_system_score_codex":0.000014874574,"about_ca_system_score_gemma":0.0000055366304,"threshold_uncertainty_score":0.6578128},"labels":[],"label_agreement":null},{"id":"W2170376527","doi":"10.1046/j.1466-822x.2003.00017.x","title":"Land use and cover with intensity of agriculture for Canada from satellite and census data","year":2003,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Government of Canada; University of Ottawa; World Wildlife Fund","keywords":"Census; Land use; Land cover; Agriculture; Geography; Vegetation (pathology); Agricultural land; Remote sensing; Physical geography; Environmental science; Environmental resource management; Ecology; Population","score_opus":0.008206153967871275,"score_gpt":0.17958732970865302,"score_spread":0.17138117574078174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170376527","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":[0.9969645,0.0005453615,0.0000019712495,0.00008992163,0.00004861225,0.00011638675,0.002101302,0.0000035582702,0.00012839005],"genre_scores_gemma":[0.99888223,0.00035095445,0.0003146119,0.0002905508,0.0000056997997,0.0000011669706,0.0001518183,0.0000012939215,0.0000016628718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950194,0.000018334316,0.00007657008,0.00023117081,0.0000453104,0.00012664201],"domain_scores_gemma":[0.99972385,0.000043101714,0.000044719378,0.00011290986,0.000009815376,0.00006560913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005763163,0.000079542006,0.00013865271,0.0000060141683,0.00007594346,0.000015666146,0.000059710568,0.00006377901,0.000014975042],"category_scores_gemma":[0.0000071616637,0.000047249017,0.000008205788,0.00008495036,0.00006275787,0.000104060455,0.00008113698,0.000023794912,3.5679173e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058207297,0.000012511991,0.9988492,0.000011464015,0.000043787244,0.0000039042625,0.000008220468,0.0000019362462,0.00002111144,0.000019308676,0.00084752316,0.00012279848],"study_design_scores_gemma":[0.00038982864,0.00006940139,0.97058576,0.0000062353997,0.000050351093,0.000018611809,0.00004484523,0.000021126583,0.000039665498,0.00016461036,0.028532514,0.00007706815],"about_ca_topic_score_codex":0.2861399,"about_ca_topic_score_gemma":0.89024025,"teacher_disagreement_score":0.60410035,"about_ca_system_score_codex":0.0000069826447,"about_ca_system_score_gemma":0.000007179236,"threshold_uncertainty_score":0.71861374},"labels":[],"label_agreement":null},{"id":"W2182764953","doi":"10.1111/geb.12407","title":"Land‐use legacies rather than climate change are driving the recent upward shift of the mountain tree line in the <scp>P</scp>yrenees","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Organismo Autónomo Parques Nacionales; Ministerio de Ciencia e Innovación; European Commission","keywords":"Tree line; Climate change; Tree (set theory); Landform; Physical geography; Line (geometry); Land cover; Vegetation (pathology); Tree canopy; Geography; Ecology; Environmental science; Forestry; Canopy; Land use; Cartography; Mathematics; Biology; Geometry","score_opus":0.029194037965719573,"score_gpt":0.2364384381592142,"score_spread":0.20724440019349463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182764953","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":[0.9923656,0.0025404491,4.7125937e-7,0.0032322884,0.00030162995,0.00031070813,0.00043693563,0.000025854066,0.000786079],"genre_scores_gemma":[0.99748516,0.0016400338,0.00002674379,0.0007395738,0.00006722613,0.000008175278,0.000025004085,0.0000026129787,0.000005465134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983563,0.0005584093,0.00021825342,0.00022538079,0.0002062004,0.00043548847],"domain_scores_gemma":[0.9987315,0.0007271181,0.00015868242,0.00027692568,0.00003862527,0.00006717328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097637135,0.00017646774,0.00021633101,0.000087647495,0.00023382177,0.0000884061,0.00046718202,0.000130558,0.00001565871],"category_scores_gemma":[0.00027093623,0.00007947648,0.00009824752,0.00073307,0.0005010028,0.00015604294,0.00007706744,0.00015706754,0.000013185329],"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":[0.000044104072,0.000035740704,0.9968576,0.0000083664945,0.000025463063,0.000009202155,0.00065114384,0.00003568744,0.0000012149918,0.00016054822,0.0002553533,0.0019155818],"study_design_scores_gemma":[0.00032024548,0.0001637797,0.9885864,0.000025224723,0.000032102053,0.0000219518,0.0022220192,0.000057333753,0.000010270686,0.0009019627,0.0076079825,0.000050715153],"about_ca_topic_score_codex":0.002584743,"about_ca_topic_score_gemma":0.1871613,"teacher_disagreement_score":0.18457656,"about_ca_system_score_codex":0.0000052977794,"about_ca_system_score_gemma":0.000027747576,"threshold_uncertainty_score":0.8276709},"labels":[],"label_agreement":null},{"id":"W2212227478","doi":"10.1111/geb.12413","title":"Contrasting beta diversity among regions: how do classical and multivariate approaches compare?","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":59,"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 Toronto; Carleton University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Null model; Pairwise comparison; Beta diversity; Sampling (signal processing); Statistics; Null hypothesis; Null (SQL); Consistency (knowledge bases); Mathematics; Sample (material); Sample size determination; Econometrics; Multivariate analysis; Ecology; Biology; Computer science; Biodiversity; Data mining","score_opus":0.03461919832655716,"score_gpt":0.22011714662915213,"score_spread":0.18549794830259497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2212227478","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":[0.99425125,0.0002493974,0.00019939536,0.0016451512,0.000107299624,0.00015294513,0.000026183081,0.00003565388,0.0033327476],"genre_scores_gemma":[0.99906844,0.00004538799,0.0006358386,0.00019805759,0.000013702995,0.00000852037,0.0000087337085,0.0000018712345,0.00001943135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914867,0.00010908843,0.00009631727,0.00031904783,0.00007785694,0.00024899386],"domain_scores_gemma":[0.9995974,0.0000908299,0.00007604502,0.000074572265,0.000012360816,0.00014884857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025558134,0.00012624552,0.00019099606,0.000029447769,0.00057873,0.000024041477,0.00009706995,0.00012965334,0.000011028997],"category_scores_gemma":[0.000050712475,0.00010866979,0.000040415263,0.00018191573,0.001562651,0.00014286251,0.0006652666,0.00010659948,0.000007900808],"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":[0.000028135357,0.000059523605,0.99456847,0.0000030168057,0.00006616763,0.0000075833204,0.0002421715,0.00002038424,0.0000015878452,0.0038422104,0.00076282094,0.00039790475],"study_design_scores_gemma":[0.0006667883,0.00008989714,0.98976547,0.0000028361342,0.000052300526,0.000012908704,0.000790623,0.0016002842,7.2562204e-7,0.0066756345,0.00021721587,0.0001253262],"about_ca_topic_score_codex":0.0001594171,"about_ca_topic_score_gemma":0.0040532723,"teacher_disagreement_score":0.004817229,"about_ca_system_score_codex":0.000030371893,"about_ca_system_score_gemma":0.000004387795,"threshold_uncertainty_score":0.5757653},"labels":[],"label_agreement":null},{"id":"W2232605265","doi":"10.1111/geb.12419","title":"Correlates of extinction risk in squamate reptiles: the relative importance of biology, geography, threat and range size","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Rufford Foundation","keywords":"Extinction (optical mineralogy); IUCN Red List; Ecology; Range (aeronautics); Macroecology; Biology; Conservation biology; Threatened species; Taxonomic rank; Geography; Extinction event; Taxon; Habitat; Biodiversity; Demography; Population","score_opus":0.00434249533089046,"score_gpt":0.20461589275441297,"score_spread":0.20027339742352251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232605265","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":[0.99776834,0.000541185,0.000023603641,0.0006254156,0.00009310688,0.00020816934,0.000083733496,0.000011144161,0.0006452918],"genre_scores_gemma":[0.9983852,0.0013244728,0.00012287787,0.00013330972,0.0000054037987,0.000019064768,0.0000025739191,0.0000020382445,0.000005087833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990555,0.00018560833,0.00027941403,0.00025921408,0.000044352357,0.00017592995],"domain_scores_gemma":[0.9990518,0.0004932443,0.00027395407,0.00013884359,0.000013133784,0.000028990093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047437116,0.00010769395,0.00018991018,0.000043285592,0.0001053429,0.000001984898,0.000093085684,0.0002126987,0.00018558431],"category_scores_gemma":[0.0001395883,0.0000622768,0.000063985935,0.00036636717,0.0019131039,0.00012727745,0.00009621486,0.00007897045,0.0000045632014],"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":[0.00012039022,0.000046228142,0.9961219,0.000003341379,0.00003823434,9.701887e-7,0.00005243751,9.538313e-7,0.00010527812,0.0013568435,0.000049055412,0.0021043862],"study_design_scores_gemma":[0.00060829247,0.00024605897,0.9517681,0.000010739387,0.00003987563,0.000007230896,0.000062479914,0.000008554844,0.000020205303,0.047087356,0.00007063538,0.00007046551],"about_ca_topic_score_codex":0.00046550785,"about_ca_topic_score_gemma":0.002804837,"teacher_disagreement_score":0.045730513,"about_ca_system_score_codex":0.000013449944,"about_ca_system_score_gemma":0.000005355771,"threshold_uncertainty_score":0.7048911},"labels":[],"label_agreement":null},{"id":"W2253918679","doi":"10.1111/geb.12433","title":"Can the richness–climate relationship be explained by systematic variations in how individual species’ ranges relate to climate?","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","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":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Ecological niche; Ecology; Quadrat; Range (aeronautics); Niche; Species distribution; Body size and species richness; Macroecology; Geography; Climate change; Biology; Habitat","score_opus":0.016200109468080415,"score_gpt":0.22065004527117607,"score_spread":0.20444993580309564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253918679","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":[0.94879407,0.00017157066,0.000023234817,0.042200103,0.00022020261,0.0007116591,0.0033280216,0.000064060674,0.0044870665],"genre_scores_gemma":[0.9981011,0.00031871407,0.000029247985,0.0011937949,0.00001107839,0.00017147382,0.000110847956,0.000005332164,0.0000583878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844784,0.00022427105,0.0002640154,0.0003408417,0.0002055786,0.0005174799],"domain_scores_gemma":[0.9992297,0.00026889777,0.00012463011,0.0002339459,0.000013570154,0.00012921904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006486012,0.00017850801,0.0002307547,0.00007355007,0.00044363012,0.0000694486,0.0002664814,0.0001672131,0.0017585928],"category_scores_gemma":[0.00017320833,0.00010658128,0.00007269023,0.0009281867,0.0003434715,0.00013158357,0.0002498325,0.00008486756,0.0001752742],"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":[0.000020892043,0.00005991898,0.9778061,0.000051982955,0.000021237787,0.0000036163915,0.00016596964,5.177121e-7,0.00015968781,0.014587881,0.007086147,0.00003607913],"study_design_scores_gemma":[0.00054268504,0.000074382864,0.99489856,0.00005784095,0.000052572774,0.000012756253,0.0014244674,0.000002299253,0.000020106672,0.0007052348,0.0020436044,0.00016549202],"about_ca_topic_score_codex":0.00008026655,"about_ca_topic_score_gemma":0.00513133,"teacher_disagreement_score":0.04930704,"about_ca_system_score_codex":0.0002136307,"about_ca_system_score_gemma":0.0000057739967,"threshold_uncertainty_score":0.9991539},"labels":[],"label_agreement":null},{"id":"W2285136701","doi":"10.1111/geb.12410","title":"Species turnover in vertebrate communities along elevational gradients is idiosyncratic and unrelated to species richness","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Species richness; Null model; Biology; Ecology; Turnover; Beta diversity; Range (aeronautics)","score_opus":0.013317859967089186,"score_gpt":0.2199900781712156,"score_spread":0.20667221820412643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285136701","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":[0.9938356,0.0001949183,0.000017531494,0.0010247692,0.00018887733,0.00016049527,0.000058272886,0.00001892543,0.004500562],"genre_scores_gemma":[0.99802667,0.00014593508,0.00018044958,0.0014603273,0.000007651028,0.000016710375,0.000023264827,0.000002852733,0.00013614884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913895,0.00010856751,0.00019419544,0.00019855423,0.000104760176,0.00025497068],"domain_scores_gemma":[0.99964935,0.000086488624,0.000051720777,0.00009083692,0.000022945593,0.000098642675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002808101,0.00014124042,0.00018982906,0.00009934978,0.00022893937,0.000023447494,0.000113364484,0.00012010145,0.00014380636],"category_scores_gemma":[0.000033454722,0.00012794681,0.000026538139,0.00053956604,0.0007040365,0.00015288783,0.00019666372,0.000105175495,0.000054890246],"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":[0.000033033102,0.00006054604,0.9943005,0.000003878213,0.00004013054,0.0000062094205,0.0014214063,0.00006260763,0.00000891631,0.002909904,0.0010918583,0.000061043895],"study_design_scores_gemma":[0.00052798697,0.00014520744,0.98726,0.000006591878,0.00001710122,0.000013220309,0.0012826546,0.00047057643,0.000006340112,0.009140608,0.000984792,0.00014492813],"about_ca_topic_score_codex":0.0002596764,"about_ca_topic_score_gemma":0.021897243,"teacher_disagreement_score":0.021637566,"about_ca_system_score_codex":0.000063487205,"about_ca_system_score_gemma":0.000008982042,"threshold_uncertainty_score":0.9959506},"labels":[],"label_agreement":null},{"id":"W2297695845","doi":"10.1111/geb.12424","title":"The regional species richness and genetic diversity of<scp>A</scp>rctic vegetation reflect both past glaciations and current climate","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; University of British Columbia","funders":"Norges Forskningsråd","keywords":"Species richness; Ecology; Vegetation (pathology); Geography; Diversity (politics); Biodiversity; Current (fluid); Species diversity; Biology; Geology; Oceanography","score_opus":0.015147497664757611,"score_gpt":0.21044536195871227,"score_spread":0.19529786429395465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297695845","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":[0.9928885,0.0050704605,0.0000013213452,0.001451418,0.00015877113,0.00010765492,0.00015250612,0.000014799183,0.00015456627],"genre_scores_gemma":[0.9842893,0.015534338,0.000017391269,0.00008813945,0.00005081776,0.0000059663007,0.0000070821116,2.2240978e-7,0.0000067744177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993001,0.000092933486,0.00012506133,0.00020091922,0.00006345308,0.00021752091],"domain_scores_gemma":[0.9991021,0.00067458686,0.00010123204,0.00002707566,0.000046982386,0.000048027767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014605439,0.00009783185,0.00013497088,0.000012320388,0.0010823255,0.000017299259,0.000075955206,0.00008868825,0.0000023211974],"category_scores_gemma":[0.000046823567,0.00003279164,0.000042458374,0.00019421999,0.00067200337,0.000052900024,0.00018608557,0.00004318354,0.0000014227782],"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":[0.000015994829,0.000020062549,0.9897578,0.0000069690554,0.000043090462,0.0000012418013,0.000027907749,3.1807833e-8,0.00045699664,0.0015698381,0.00025872348,0.007841382],"study_design_scores_gemma":[0.0001505979,0.00018880666,0.9890094,0.000010333368,0.00004674365,0.00001898272,0.00020988517,0.0000011024641,0.0000069958733,0.0040805293,0.0062339474,0.00004271287],"about_ca_topic_score_codex":0.000019862946,"about_ca_topic_score_gemma":0.0022780064,"teacher_disagreement_score":0.010463878,"about_ca_system_score_codex":0.000006362656,"about_ca_system_score_gemma":0.0000029263006,"threshold_uncertainty_score":0.8324482},"labels":[],"label_agreement":null},{"id":"W2318703994","doi":"10.1111/geb.12451","title":"A neutral‐metabolic theory of latitudinal biodiversity","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Species richness; Ecology; Biodiversity; Habitat; Biological dispersal; Genetic algorithm; Ecosystem; Biology; Population","score_opus":0.004578011377340859,"score_gpt":0.20451888184013403,"score_spread":0.19994087046279319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318703994","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":[0.9968307,0.0011540914,0.0005861558,0.00028601012,0.000112234906,0.00006407956,0.00027790165,0.000008075076,0.00068076124],"genre_scores_gemma":[0.9982095,0.0011235969,0.0002792868,0.00029518438,0.000024630659,0.000002045005,0.000022315917,0.0000014417343,0.000042006657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994452,0.00006049098,0.00010307906,0.00020174756,0.000028854558,0.00016062876],"domain_scores_gemma":[0.99969906,0.000009324928,0.000053131243,0.00012954982,0.000048711845,0.000060246293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011939929,0.00008756907,0.000111781665,0.000039683648,0.000059565373,0.000002609373,0.00009447292,0.00014783193,0.000026123265],"category_scores_gemma":[0.000020311287,0.00006204283,0.00009072215,0.00011782946,0.00044348012,0.0000021827889,0.00009368965,0.000020239891,0.000007563823],"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":[0.00011707109,0.000053535685,0.9699125,0.000004201381,0.00009511641,0.0000010092183,0.000003392658,8.4969594e-7,0.011169184,0.014907149,0.0008770001,0.0028589375],"study_design_scores_gemma":[0.0005981034,0.00025414574,0.9829186,0.0000026091577,0.00003678819,0.000014894602,0.000017848837,9.4978884e-7,0.001963262,0.005091987,0.00900309,0.00009771212],"about_ca_topic_score_codex":0.0000146929515,"about_ca_topic_score_gemma":0.00017922747,"teacher_disagreement_score":0.013006056,"about_ca_system_score_codex":0.0000023834168,"about_ca_system_score_gemma":0.000021563437,"threshold_uncertainty_score":0.25300333},"labels":[],"label_agreement":null},{"id":"W2405432518","doi":"10.1111/geb.12470","title":"Biotic interactions mediate patterns of herbivore diversity in the Arctic","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; International Arctic Science Committee; Ecological Society of America","keywords":"Species richness; Ecology; Herbivore; Biodiversity; Arctic; Beta diversity; Ecosystem; Biology; Macroecology; Trophic level; Body size and species richness; Species diversity; Geography","score_opus":0.008762622417528591,"score_gpt":0.2095581017178364,"score_spread":0.2007954793003078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405432518","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":[0.9951393,0.0000155082,0.000015813654,0.0041207336,0.00013951285,0.00008493392,0.000025317497,0.0000055608425,0.0004533074],"genre_scores_gemma":[0.99888235,0.000054953514,0.000019315168,0.001018694,0.000007843581,0.000004907375,0.0000021886444,6.9244595e-7,0.000009070483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948335,0.00009788164,0.00009971297,0.00013359127,0.00005409565,0.00013137408],"domain_scores_gemma":[0.9997126,0.00012142207,0.00005136025,0.00008699326,0.0000047687026,0.00002284455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017245699,0.000056219546,0.00007328077,0.000030239325,0.00012204066,0.0000024045773,0.00013785071,0.000064365006,0.00041584487],"category_scores_gemma":[0.0000255127,0.00003229396,0.000037652146,0.00020766456,0.00030883623,0.0000885474,0.00016528161,0.00004648456,0.00003738845],"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":[0.000017827557,0.00006553758,0.99818456,0.0000028064223,0.000011546632,0.000004100602,0.000070872666,5.7304885e-7,0.000028027258,0.00037357816,0.00018936912,0.0010511988],"study_design_scores_gemma":[0.00023822697,0.0000721488,0.995171,0.00000718941,0.000015327398,0.000009905677,0.00010094655,0.0000020554244,0.000007687973,0.004100405,0.00023280857,0.00004228921],"about_ca_topic_score_codex":0.0009930306,"about_ca_topic_score_gemma":0.014880096,"teacher_disagreement_score":0.0138870645,"about_ca_system_score_codex":0.000023784956,"about_ca_system_score_gemma":0.0000031137406,"threshold_uncertainty_score":0.83034426},"labels":[],"label_agreement":null},{"id":"W2416570866","doi":"10.1111/geb.12476","title":"Bergmann's rule in the oceans? Temperature strongly correlates with global interspecific patterns of body size in marine mammals","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Centre for Australian National Biodiversity Research; Consejo Nacional de Ciencia y Tecnología; McGill University","keywords":"Interspecific competition; Macroecology; Ecology; Bergmann's rule; Range (aeronautics); Southern Hemisphere; Biology; Sea surface temperature; Biogeography; Geography; Latitude","score_opus":0.003654362340773234,"score_gpt":0.19714469537712814,"score_spread":0.1934903330363549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416570866","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":[0.99391127,0.00017450584,9.583354e-7,0.0010050257,0.000055952532,0.00023651103,0.00013684678,0.000009857698,0.004469062],"genre_scores_gemma":[0.9990378,0.00050073804,0.00010927211,0.00029985374,0.000011228118,0.000015334856,0.000004709535,0.0000029988378,0.000018092302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884623,0.00010465758,0.00023238342,0.0003378072,0.00014097348,0.00033797082],"domain_scores_gemma":[0.99959505,0.00009471111,0.000086177,0.0001716618,0.00000954385,0.000042882857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021753188,0.00018036808,0.0002480579,0.000024261066,0.000053779455,0.000012356666,0.00028626446,0.000115129675,0.00064403785],"category_scores_gemma":[0.000023108812,0.000094592564,0.00005972403,0.0005205358,0.00040591237,0.00009398423,0.0003948184,0.00009924683,0.000015257276],"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":[0.00015748189,0.00015205528,0.99405235,0.000008644931,0.000030736373,0.000043707987,0.00003140435,0.0000014858995,0.000026717895,0.0005506015,0.00028502088,0.0046597654],"study_design_scores_gemma":[0.0008239296,0.00039043467,0.9961397,0.000029369756,0.0000174932,0.000028277664,0.00027803428,8.3809266e-7,0.000006646699,0.001211758,0.0009471595,0.00012632838],"about_ca_topic_score_codex":0.0025392247,"about_ca_topic_score_gemma":0.047895916,"teacher_disagreement_score":0.04535669,"about_ca_system_score_codex":0.00007826127,"about_ca_system_score_gemma":0.000005607343,"threshold_uncertainty_score":0.9694775},"labels":[],"label_agreement":null},{"id":"W2460033175","doi":"10.1111/geb.12488","title":"Effects of species diversity on fine root productivity in diverse ecosystems: a global meta‐analysis","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Monoculture; Productivity; Biomass (ecology); Species richness; Ecosystem; Grassland; Ecology; Species diversity; Biodiversity; Terrestrial ecosystem; Primary production; Biology; Environmental science; Agronomy","score_opus":0.012676409720367252,"score_gpt":0.2032971246924285,"score_spread":0.19062071497206123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460033175","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":[0.99764866,0.0004645653,7.558639e-7,0.00062017114,0.0001045917,0.00020696376,0.00065218814,0.000026641073,0.000275456],"genre_scores_gemma":[0.9998448,0.000042782038,0.0000068020595,0.00004817846,0.00002772596,0.000008670425,0.000012374325,2.1916415e-7,0.0000084569265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888664,0.00018677997,0.00015717022,0.00037467538,0.00013982218,0.00025493643],"domain_scores_gemma":[0.9995076,0.00020116339,0.000102438,0.00006255106,0.00004796799,0.00007828964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021825738,0.00015882489,0.00050244055,0.000044580167,0.00012565301,0.0000081529,0.0001688881,0.00014215187,0.00007422898],"category_scores_gemma":[0.000048300943,0.000055205994,0.0004857064,0.0013487136,0.00021491134,0.000059544338,0.00024118394,0.000040900595,0.0000044059716],"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":[0.00012364918,0.00020875895,0.9930127,0.000010215951,0.004055489,0.000013631338,0.000004792487,9.3218057e-7,0.0005659636,0.00088611624,0.000025822275,0.001091879],"study_design_scores_gemma":[0.00028768642,0.00037449115,0.9932694,0.000003476886,0.004376301,0.0000023849293,0.000018252185,0.000004613298,0.00032515146,0.0011356458,0.0000812342,0.00012140598],"about_ca_topic_score_codex":0.002621625,"about_ca_topic_score_gemma":0.23089501,"teacher_disagreement_score":0.22827338,"about_ca_system_score_codex":0.000035512305,"about_ca_system_score_gemma":0.0000041753688,"threshold_uncertainty_score":0.78313917},"labels":[],"label_agreement":null},{"id":"W2508950457","doi":"10.1111/geb.12505","title":"Climate, history and life‐history strategies interact in explaining differential macroecological patterns in freshwater zooplankton","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Montreal Biodome; Université du Québec à Montréal","funders":"","keywords":"Allee effect; Ecology; Biological dispersal; Zooplankton; Macroecology; Biology; Latitude; Range (aeronautics); Geography; Biodiversity; Population; Demography","score_opus":0.008217940697668659,"score_gpt":0.20140242861709023,"score_spread":0.19318448791942158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508950457","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":[0.9969462,0.00034789403,0.000027675238,0.000096019496,0.00044430734,0.00015301345,0.00011133467,0.000020838752,0.0018526869],"genre_scores_gemma":[0.99927837,0.00034140053,0.000060691476,0.00023829169,0.0000198409,0.000027651226,0.000016004526,0.000004550309,0.000013179867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987027,0.00013158676,0.00029930714,0.00038824536,0.00007788233,0.00040028847],"domain_scores_gemma":[0.9995969,0.00009835924,0.000088918736,0.00010609229,0.0000031305121,0.00010658069],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020720217,0.00017912537,0.00026702724,0.000085841624,0.000041573414,0.000011362623,0.00011768519,0.00022396097,0.0022184728],"category_scores_gemma":[0.00001489854,0.00012321051,0.000042854528,0.00006428747,0.00035536077,0.00018324578,0.00019536813,0.000126999,0.000026748996],"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":[0.00008378594,0.0000775958,0.99677044,0.000016065798,0.000008715406,0.00005497682,0.00018852568,0.0000020356385,0.0001749272,0.00070521765,0.00050380843,0.001413921],"study_design_scores_gemma":[0.0007398943,0.00019682429,0.9924069,0.00003880372,0.0000071610034,0.000020953074,0.0002046892,0.0001598657,0.0000020969762,0.00050332013,0.0055376757,0.00018179195],"about_ca_topic_score_codex":0.00080559525,"about_ca_topic_score_gemma":0.07213046,"teacher_disagreement_score":0.07132486,"about_ca_system_score_codex":0.0003553596,"about_ca_system_score_gemma":0.000016485565,"threshold_uncertainty_score":0.99869365},"labels":[],"label_agreement":null},{"id":"W2517131692","doi":"10.1111/geb.12499","title":"Climate tolerances and trait choices shape continental patterns of urban tree biodiversity","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":92,"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. Department of Agriculture; National Science Foundation","keywords":"Species richness; Biodiversity; Ecology; Biological dispersal; Trait; Ecosystem services; Geography; Ecosystem; Climate change; Urban ecology; Urban ecosystem; Population; Habitat; Biology; Urban planning; Demography","score_opus":0.006771050302256312,"score_gpt":0.2058016335585678,"score_spread":0.19903058325631148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517131692","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":[0.997315,0.00022802521,0.0000027172518,0.00085687824,0.0000704355,0.00010456882,0.0007485906,0.000016639224,0.00065715495],"genre_scores_gemma":[0.99883384,0.0006597941,0.000055854216,0.00041609447,0.0000141373675,0.0000021923051,0.000005769845,0.0000011862367,0.000011106952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924517,0.000031124022,0.0001255501,0.0002548378,0.00007686163,0.00026648596],"domain_scores_gemma":[0.9997081,0.00002772158,0.000084081956,0.00007206745,0.000004759655,0.00010322692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010114451,0.00010395807,0.00017259826,0.000030689407,0.00013178143,0.000007108417,0.00009717828,0.00009149192,0.00049641693],"category_scores_gemma":[0.0000026680602,0.00007004504,0.00005338081,0.00011284131,0.00053042825,0.00012502633,0.00012747142,0.00003058839,0.00002026518],"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":[0.00005411951,0.000048782174,0.987666,0.000010667066,0.000016093229,0.0000030308845,0.00003393723,9.959675e-9,0.00021928159,0.000096015625,0.00072237477,0.011129702],"study_design_scores_gemma":[0.0006919304,0.00028049233,0.9963143,0.000010651364,0.000023507078,0.0000060561993,0.00006215462,0.0000021808964,0.00003518943,0.00012474228,0.0023544612,0.00009437382],"about_ca_topic_score_codex":0.001369769,"about_ca_topic_score_gemma":0.013366391,"teacher_disagreement_score":0.011996622,"about_ca_system_score_codex":0.000011871884,"about_ca_system_score_gemma":0.0000027691053,"threshold_uncertainty_score":0.74587595},"labels":[],"label_agreement":null},{"id":"W2517241930","doi":"10.1111/geb.12494","title":"On empty islands and the small‐island effect","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; McGill University","keywords":"Insular biogeography; Generality; Small island; Geography; Biogeography; Ecology; Biology; Archaeology","score_opus":0.002088149891535098,"score_gpt":0.18658449057630863,"score_spread":0.18449634068477352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517241930","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":[0.98322797,0.000086072454,0.000032830514,0.001694791,0.00012600809,0.00018291741,0.000022413738,0.00001796367,0.014609045],"genre_scores_gemma":[0.9981109,0.00018357935,0.00003162053,0.0015429999,0.00001949297,0.000025919582,0.0000018170788,0.0000026581554,0.000081005164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899733,0.00023014411,0.000121261095,0.00031148852,0.0000680632,0.00027172593],"domain_scores_gemma":[0.9992588,0.00045165693,0.000052323405,0.00017631846,0.0000036856757,0.000057204943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000477942,0.00013242714,0.00020587811,0.00003240031,0.00021351766,0.000014644241,0.00015211417,0.00013279243,0.00060323667],"category_scores_gemma":[0.000075286305,0.00005879107,0.00008049505,0.00021074514,0.001480688,0.000037324706,0.00019548797,0.00006114226,0.00014779015],"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":[0.0002007825,0.000021998594,0.98785454,0.0000012499307,0.000056634497,0.0000066453904,0.000015918004,7.7171245e-7,0.000030683037,0.0022001166,0.001589426,0.00802126],"study_design_scores_gemma":[0.002035364,0.0004713088,0.97879314,0.0000028896416,0.00006596356,0.000030867897,0.0000060181,0.000013504691,0.0000381445,0.0149627505,0.0034768553,0.00010320877],"about_ca_topic_score_codex":0.00010360534,"about_ca_topic_score_gemma":0.003367199,"teacher_disagreement_score":0.014882949,"about_ca_system_score_codex":0.000020486736,"about_ca_system_score_gemma":0.0000024764352,"threshold_uncertainty_score":0.66050184},"labels":[],"label_agreement":null},{"id":"W2524724310","doi":"10.1111/geb.12509","title":"A global analysis of traits predicting species sensitivity to habitat fragmentation","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":281,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Habitat fragmentation; Ecology; Fragmentation (computing); Habitat; Habitat destruction; Biology; Geography","score_opus":0.005714922101186446,"score_gpt":0.2122653093776713,"score_spread":0.20655038727648484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524724310","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":[0.9958717,0.000012048732,0.0006940231,0.0015716088,0.00009191165,0.00013110838,0.0003040722,0.000024881885,0.0012986064],"genre_scores_gemma":[0.99855965,0.0000107482265,0.00048928644,0.0008970971,0.00001187853,0.000008596686,0.000010462002,0.0000011749506,0.000011119318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991266,0.00010905728,0.00018196992,0.00027754897,0.000099865865,0.00020493918],"domain_scores_gemma":[0.9996359,0.00009909501,0.00008821796,0.00008169409,0.000015925923,0.00007918669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025617846,0.00009664355,0.00018937004,0.000058206213,0.00011376012,0.000005847013,0.000060884813,0.00011505342,0.0002496623],"category_scores_gemma":[0.000056313136,0.000073503885,0.00009810796,0.0013250845,0.0003404628,0.00011989623,0.00008984163,0.000020644347,0.000021970525],"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":[0.000050224717,0.000063508865,0.9935949,0.0000014321578,0.00025613856,0.0000033613546,0.000027180376,0.00006475084,0.00045799254,0.00047336073,0.0005021303,0.0045050224],"study_design_scores_gemma":[0.0002278759,0.0001489792,0.9981995,0.0000034285467,0.00029501616,0.000004468478,0.000050450686,0.00005898334,0.000030508749,0.00076894957,0.00012718039,0.000084658146],"about_ca_topic_score_codex":0.00022548303,"about_ca_topic_score_gemma":0.017626304,"teacher_disagreement_score":0.017400822,"about_ca_system_score_codex":0.000055999197,"about_ca_system_score_gemma":0.00000782074,"threshold_uncertainty_score":0.9835892},"labels":[],"label_agreement":null},{"id":"W2548515295","doi":"10.1111/geb.12475","title":"Environment and predation govern fish community assembly in temperate streams","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":81,"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":"School of Aquatic and Fishery Sciences; McGill University","keywords":"Interspecific competition; Predation; Competition (biology); Predator; Biology; Ecology; Community structure; Null model; Community; Temperate climate; Fish <Actinopterygii>; Apex predator; STREAMS; Ecosystem; Fishery","score_opus":0.005367250492807421,"score_gpt":0.1925663180502339,"score_spread":0.18719906755742646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548515295","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":[0.9926081,0.000018095972,0.000009117404,0.002110366,0.00005150365,0.00016724529,0.00005756517,0.000017649743,0.004960368],"genre_scores_gemma":[0.99790394,0.00085765106,0.000064392705,0.0010609196,0.0000047284643,0.000025793837,0.000007653534,0.0000019415997,0.0000730035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992461,0.00014688278,0.00012267967,0.00021172392,0.000055226326,0.00021738172],"domain_scores_gemma":[0.9997328,0.00006308265,0.000046341156,0.00011349369,0.0000016926158,0.000042608117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026502513,0.000107281674,0.00012095249,0.00002592024,0.00024098056,0.000008538287,0.000088502944,0.00010338162,0.00022605518],"category_scores_gemma":[0.000018696079,0.00007834743,0.000020044514,0.00010509904,0.0005507505,0.00014307504,0.00039082524,0.00006910845,0.000041247797],"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":[0.000023255092,0.00010518557,0.99138457,0.0000031217376,0.000025236815,0.000002729573,0.00003238291,0.0000017804448,0.00008953719,0.0002053055,0.0028448373,0.0052820407],"study_design_scores_gemma":[0.0005556826,0.00019103989,0.9937928,0.0000046857513,0.000015157282,0.0000026686555,0.00008936517,0.00000431022,0.000022233751,0.0021700752,0.0030529134,0.00009908445],"about_ca_topic_score_codex":0.0004892696,"about_ca_topic_score_gemma":0.024275705,"teacher_disagreement_score":0.023786435,"about_ca_system_score_codex":0.000055379027,"about_ca_system_score_gemma":0.000001517745,"threshold_uncertainty_score":0.9935287},"labels":[],"label_agreement":null},{"id":"W2549419161","doi":"10.1111/geb.12546","title":"In the company of greatness: announcing the best reviewers and best associate editors","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Health and Medical Research Impacts","field":"Medicine","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":"Greatness; Best practice; Set (abstract data type); Service (business); Quality (philosophy); Public relations; Psychology; Library science; History; Political science; Media studies; Sociology; Law; Computer science; Business; Marketing; Social psychology; Epistemology","score_opus":0.044185936706373594,"score_gpt":0.3573903747716121,"score_spread":0.3132044380652385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549419161","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":[0.91363555,0.0038939908,0.0000017036124,0.080592774,0.00042058915,0.00041131716,0.00006736263,0.0000049066457,0.00097179995],"genre_scores_gemma":[0.9832503,0.008622204,0.000012826128,0.0076607172,0.00041614295,0.000016598597,0.0000030270721,0.0000022853183,0.000015862104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867207,0.00017665671,0.00022707907,0.00015241903,0.00027078475,0.0005010191],"domain_scores_gemma":[0.99865484,0.0005502098,0.00007170826,0.00014400986,0.00009811415,0.00048109397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020896303,0.000093491806,0.00027684183,0.0000665348,0.0001109972,0.000006678175,0.00009827644,0.00013688784,0.00001741135],"category_scores_gemma":[0.00445924,0.00003645457,0.000056768647,0.0004286833,0.0007843857,0.000048115347,0.000042213687,0.0001633426,0.000006934601],"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":[0.00010124148,0.00015356073,0.94794977,0.0001203243,0.000044217857,0.00003381757,0.00009391372,6.52191e-9,0.00005190183,0.00022422987,0.031623464,0.01960353],"study_design_scores_gemma":[0.0017709697,0.001467186,0.81689256,0.00041013898,0.00009291756,0.000087751985,0.00066464493,0.0000013262661,0.000017386626,0.0008654574,0.17765662,0.00007305053],"about_ca_topic_score_codex":0.00045032738,"about_ca_topic_score_gemma":0.00034199326,"teacher_disagreement_score":0.14603315,"about_ca_system_score_codex":0.000036976486,"about_ca_system_score_gemma":0.0003254904,"threshold_uncertainty_score":0.5338449},"labels":[],"label_agreement":null},{"id":"W2551294274","doi":"10.1111/geb.12538","title":"Climate change is not a major driver of shifts in the geographical distributions of North American birds","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":49,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; University of Queensland","keywords":"Ecological niche; Passerine; Climate change; Ecology; Niche; Geography; Species distribution; Breeding bird survey; Distribution (mathematics); Physical geography; Abundance (ecology); Habitat; Biology","score_opus":0.012414990395153163,"score_gpt":0.23569936629043678,"score_spread":0.2232843758952836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551294274","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":[0.99146235,0.00003385654,0.0000044547196,0.003223822,0.000044087872,0.0001772472,0.004435039,0.000011381154,0.0006077714],"genre_scores_gemma":[0.9983034,0.00079899136,0.000015613068,0.0008022726,0.000007855944,0.00003456159,0.00003481113,0.0000019916806,4.8691214e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990085,0.000073608855,0.00021580499,0.00022669585,0.00015305167,0.00032237705],"domain_scores_gemma":[0.99956465,0.000055597804,0.00012907344,0.00017438353,0.000013978653,0.000062313105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016298093,0.00011302717,0.00019298754,0.000054627555,0.0000864342,0.000004951042,0.00021622867,0.000060487764,0.0012931137],"category_scores_gemma":[0.00001537556,0.00006593993,0.000120792356,0.0012099814,0.0019111779,0.00006685605,0.00015941648,0.000050888917,0.000033084405],"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":[0.000047589874,0.00017132526,0.99131656,0.000004526431,0.0000123542695,0.0000023328482,0.000047590413,9.884094e-9,0.000095431154,0.0025307473,0.00031644417,0.005455114],"study_design_scores_gemma":[0.0003742171,0.00021269066,0.99685967,0.0000054944344,0.000024331184,0.000003573764,0.00014327261,7.16331e-7,0.00007508946,0.00019420445,0.0020213271,0.00008540129],"about_ca_topic_score_codex":0.000904255,"about_ca_topic_score_gemma":0.014103025,"teacher_disagreement_score":0.013198771,"about_ca_system_score_codex":0.000035046243,"about_ca_system_score_gemma":0.0000027803294,"threshold_uncertainty_score":0.99961984},"labels":[],"label_agreement":null},{"id":"W2560520343","doi":"10.1111/geb.12540","title":"Parental cooperation in a changing climate: fluctuating environments predict shifts in care division","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada; Genome Prairie; Environment and Climate Change Canada","funders":"Magyar Tudományos Akadémia; Natural Environment Research Council; Sight Research UK","keywords":"Paternal care; Climate change; Ecology; Biology; Plover; Offspring; Charadrius; Phenotypic plasticity; Population; Energetics; Geography; Demography; Pregnancy","score_opus":0.006009756051664826,"score_gpt":0.20604025829751393,"score_spread":0.20003050224584912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560520343","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":[0.9990834,0.0002655056,0.0000010981029,0.0002090825,0.000113232396,0.00016584629,0.000076362565,0.000016401667,0.00006905469],"genre_scores_gemma":[0.9996086,0.00022285662,0.000012085196,0.000036987007,0.000040142113,0.000016324842,0.000060520142,3.4627053e-7,0.000002149915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915636,0.000054224052,0.00014357471,0.0002957328,0.00006156766,0.00028856067],"domain_scores_gemma":[0.99988097,0.000018253852,0.000035340763,0.000023981314,0.0000066033185,0.000034848024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014528309,0.000088121815,0.00009893347,0.00004164413,0.00014599916,0.000011441408,0.000051286468,0.00011459385,0.000041420677],"category_scores_gemma":[0.000010690307,0.00003200636,0.000033067914,0.0004050701,0.00007808524,0.000104598774,0.000078895326,0.000041842934,0.000006278731],"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":[0.000026924798,0.00004414573,0.90509427,0.000001948811,0.0000014798728,0.0000035590829,0.000049228318,5.2229706e-7,0.03645261,0.000052823325,0.0000019777551,0.058270514],"study_design_scores_gemma":[0.00023602859,0.00026185406,0.9983906,0.000025414121,0.000004060502,0.000002657694,0.00053819723,0.000004176965,0.00026628762,0.000050464394,0.00013733636,0.00008293207],"about_ca_topic_score_codex":0.00009481106,"about_ca_topic_score_gemma":0.0015759987,"teacher_disagreement_score":0.09329632,"about_ca_system_score_codex":0.000033548138,"about_ca_system_score_gemma":0.0000016544449,"threshold_uncertainty_score":0.13051814},"labels":[],"label_agreement":null},{"id":"W2560905391","doi":"10.1111/geb.12558","title":"Biotic disturbances in Northern Hemisphere forests – a synthesis of recent data, uncertainties and implications for forest monitoring and modelling","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":193,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service","keywords":"Disturbance (geology); Ecology; Environmental science; Abiotic component; Bark beetle; Biomass (ecology); Biotic component; Forest ecology; Forest inventory; Ecosystem; Coarse woody debris; Forestry; Geography; Physical geography; Forest management; Habitat; Agroforestry; Biology; Bark (sound)","score_opus":0.016065113161251497,"score_gpt":0.23947175399470028,"score_spread":0.22340664083344877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560905391","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":[0.9976409,0.0005964073,0.00041322538,0.0007236785,0.00005575443,0.00025834623,0.0001370018,0.000009513484,0.00016519247],"genre_scores_gemma":[0.99661756,0.0024111462,0.00087033433,0.000020393496,0.000008178612,0.000059350794,0.00000658427,0.000002801003,0.000003667332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929696,0.000019433584,0.00014928504,0.0003048416,0.000031666812,0.00019783636],"domain_scores_gemma":[0.9995648,0.00015905817,0.0000654012,0.00015790036,0.000009323169,0.00004347371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015263689,0.000094048824,0.00013976757,0.000030092757,0.000112058,0.000007459642,0.00013123351,0.00008037473,0.000009184539],"category_scores_gemma":[0.000040674004,0.000067240006,0.000016202193,0.00016155063,0.00052903785,0.000113159615,0.00021490478,0.000022612085,6.9731874e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046116736,0.00004084959,0.9758758,0.000022835498,0.0000266999,4.6140795e-7,0.000012449562,0.000110879926,0.000049832677,0.00093822594,0.000047394147,0.022828434],"study_design_scores_gemma":[0.00025055345,0.00007891635,0.98112375,0.000018898252,0.00003120197,0.000003320431,0.000051127314,0.00021945786,0.00002490287,0.01752965,0.00058487675,0.0000833613],"about_ca_topic_score_codex":0.00052690774,"about_ca_topic_score_gemma":0.04565111,"teacher_disagreement_score":0.045124207,"about_ca_system_score_codex":0.000024212773,"about_ca_system_score_gemma":0.000005523923,"threshold_uncertainty_score":0.97176325},"labels":[],"label_agreement":null},{"id":"W2564348409","doi":"10.1111/geb.12553","title":"High community turnover and dispersal limitation relative to rapid climate change","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":37,"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 Ottawa; Simon Fraser University","funders":"","keywords":"Biological dispersal; Ecology; Beta diversity; Butterfly; Climate change; Species richness; Quadrat; Macroecology; Spatial ecology; Spatial variability; Environmental science; Biology; Transect; Population; Statistics","score_opus":0.020005983707012454,"score_gpt":0.23577071838348615,"score_spread":0.2157647346764737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564348409","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":[0.9909754,0.000073716,0.000013690114,0.003992888,0.0001177964,0.00017872623,0.00070225535,0.000033940265,0.00391161],"genre_scores_gemma":[0.99786955,0.00050687644,0.000053983633,0.0014757798,0.000015301492,0.000026766329,0.00004098639,0.000002615504,0.000008157841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992734,0.000106536565,0.00010031227,0.00018758464,0.00007257296,0.0002595629],"domain_scores_gemma":[0.99964094,0.000069566675,0.000042309748,0.00010837906,0.000009344272,0.00012945973],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001519058,0.00010875079,0.00011179127,0.0000281575,0.00028762635,0.000015765732,0.000079137564,0.00010284233,0.0026366892],"category_scores_gemma":[0.0000321911,0.000075146374,0.000035891946,0.00024908182,0.0004417851,0.00019203096,0.00024331587,0.00006099632,0.0003094564],"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":[0.00005431106,0.00006423871,0.978976,0.0000029606413,0.000013550738,0.0000016212912,0.00016296984,2.3763995e-8,0.00040675586,0.010988503,0.0015392316,0.0077898083],"study_design_scores_gemma":[0.00043386262,0.00026654973,0.99026847,0.0000063937146,0.000016103499,0.000006504135,0.00039909038,8.2050013e-7,0.000034631517,0.0012207021,0.0072334246,0.00011342397],"about_ca_topic_score_codex":0.00053403695,"about_ca_topic_score_gemma":0.0043377765,"teacher_disagreement_score":0.011292468,"about_ca_system_score_codex":0.00008771676,"about_ca_system_score_gemma":0.0000010997477,"threshold_uncertainty_score":0.99827504},"labels":[],"label_agreement":null},{"id":"W2567659964","doi":"10.1111/geb.12555","title":"Impacts of global change on species distributions: obstacles and solutions to integrate climate and land use","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":197,"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":"Queen's University; Queen's University Belfast","keywords":"Climate change; Biodiversity; Global change; Ecology; Abundance (ecology); Habitat; Environmental resource management; Land use, land-use change and forestry; Global warming; Species distribution; Geography; Land use; Environmental science; Biology","score_opus":0.028738533028823603,"score_gpt":0.2485733114030724,"score_spread":0.2198347783742488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567659964","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":[0.98712206,0.0002644176,0.000013231997,0.002303658,0.00009219764,0.00019331524,0.00926279,0.000027050453,0.0007212985],"genre_scores_gemma":[0.9969378,0.0025218625,0.000036775993,0.00042322243,0.000012428143,0.000017712067,0.000044301414,0.0000020481405,0.0000038362978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990628,0.00004055477,0.00014898759,0.00028248466,0.000087638684,0.00037758396],"domain_scores_gemma":[0.9995542,0.000054173343,0.00005953131,0.00011424125,0.00001668736,0.00020115693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116128125,0.00014548439,0.00016869193,0.000026973177,0.00021146424,0.000034144123,0.000069359834,0.00010300744,0.0006574373],"category_scores_gemma":[0.00006556813,0.0000972422,0.00004427872,0.00034522012,0.0007705651,0.00016462275,0.00024569922,0.000031997366,0.00004281995],"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":[0.0000705214,0.00006464507,0.9811162,0.0000053472545,0.000015361482,0.0000026837818,0.000015285228,1.806101e-8,0.00031151116,0.015435975,0.0010258072,0.0019366886],"study_design_scores_gemma":[0.00040613135,0.0003014809,0.99148613,0.00002186038,0.000022340764,0.000017750568,0.00016038833,6.750058e-7,0.000056211768,0.0008168528,0.0065872306,0.00012297464],"about_ca_topic_score_codex":0.0007870361,"about_ca_topic_score_gemma":0.009937342,"teacher_disagreement_score":0.014619122,"about_ca_system_score_codex":0.00012881146,"about_ca_system_score_gemma":0.0000035652868,"threshold_uncertainty_score":0.71984774},"labels":[],"label_agreement":null},{"id":"W2569101588","doi":"10.1111/geb.12563","title":"Process‐based modelling shows how climate and demography shape language diversity","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Evolutionary Synthesis Center; National Science Foundation","keywords":"Macroecology; Species richness; Diversity (politics); Population; Distribution (mathematics); Ecology; Geography; Process (computing); Computer science; Demography; Sociology; Mathematics; Biology","score_opus":0.015441086079456299,"score_gpt":0.27211555034303586,"score_spread":0.25667446426357954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569101588","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":[0.99343395,0.000980698,0.00002501922,0.0017445302,0.00012248576,0.0001582864,0.000096493735,0.00006577883,0.0033727312],"genre_scores_gemma":[0.99888384,0.00044457876,0.00019089117,0.00037920114,0.00007038771,0.000005197047,0.000012715555,0.0000019503022,0.000011225289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999131,0.0000648929,0.00006516314,0.000262304,0.00012669542,0.00034992056],"domain_scores_gemma":[0.9995747,0.00001774884,0.00009912514,0.00011953356,0.000060165716,0.00012870111],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000265079,0.000109187735,0.00013722676,0.000047741116,0.0037249837,0.00015795675,0.0002160632,0.00018948354,0.000036901114],"category_scores_gemma":[0.00003306912,0.00009019782,0.00008169347,0.00013996902,0.0008071853,0.00032661,0.000153171,0.00007689338,0.000002113852],"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":[0.00003206339,0.000027110998,0.9933101,0.000016849679,0.000026735619,0.000015061427,0.0012844307,0.0000030868764,0.000013708215,0.0019537169,0.00008353661,0.0032336302],"study_design_scores_gemma":[0.0006985262,0.00010650958,0.98530895,0.00001924525,0.00011232389,0.0000039023184,0.007851789,0.00097455183,0.000017396695,0.003642958,0.00096737844,0.00029648075],"about_ca_topic_score_codex":0.0017493351,"about_ca_topic_score_gemma":0.00940956,"teacher_disagreement_score":0.008001131,"about_ca_system_score_codex":0.000011222879,"about_ca_system_score_gemma":0.000019698142,"threshold_uncertainty_score":0.997572},"labels":[],"label_agreement":null},{"id":"W2581633722","doi":"10.1111/geb.12560","title":"The latitudinal diversity gradient and interspecific competition: no global relationship between lizard dietary niche breadth and species richness","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":28,"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":"Azrieli Foundation","keywords":"Niche; Ecology; Biology; Species richness; Interspecific competition; Niche segregation; Ecological niche; Range (aeronautics); Niche differentiation; Competition (biology); Latitude; Seasonality; Lizard; Geography; Habitat","score_opus":0.041682823305171486,"score_gpt":0.25786270839141784,"score_spread":0.21617988508624636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581633722","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":[0.9771326,0.000354944,0.000005805858,0.0024042223,0.0002686996,0.000120154196,0.00057694543,0.000022629458,0.01911401],"genre_scores_gemma":[0.9989751,0.0007406932,0.000019815174,0.00013530396,0.000040279072,0.0000038725407,0.000043471093,0.0000014259667,0.00004004962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991724,0.00005426992,0.00011928936,0.00029128525,0.00011862465,0.00024416318],"domain_scores_gemma":[0.9994872,0.00007885601,0.000099516175,0.0001939558,0.000017127782,0.00012332192],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00018412605,0.00013185757,0.00014009984,0.00001185914,0.0029589352,0.0001442529,0.00021886543,0.00010298331,0.00046564234],"category_scores_gemma":[0.000045342786,0.00010007437,0.000051952633,0.000114675895,0.0022787298,0.00015183788,0.0010201292,0.00008842974,0.000058803347],"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":[0.00003503966,0.000024975852,0.98306954,0.0000044308013,0.000026211465,0.0000049390937,0.00002728212,5.044008e-8,0.0000011680573,0.013968091,0.0025378221,0.00030043308],"study_design_scores_gemma":[0.00032507136,0.00010752744,0.9837995,0.0000045545135,0.000044781176,0.00001374858,0.0004369723,0.0000019293452,6.044601e-7,0.0044669835,0.010682529,0.00011580814],"about_ca_topic_score_codex":0.0002462996,"about_ca_topic_score_gemma":0.0027056355,"teacher_disagreement_score":0.0218425,"about_ca_system_score_codex":0.00010842237,"about_ca_system_score_gemma":0.0000028233133,"threshold_uncertainty_score":0.99833906},"labels":[],"label_agreement":null},{"id":"W2587499075","doi":"10.1111/geb.12569","title":"Predicting microcystin concentrations in lakes and reservoirs at a continental scale: A new framework for modelling an important health risk factor","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Cyanotoxin; Microcystin; Environmental science; Scale (ratio); Algal bloom; Ecology; Limiting; Cyanobacteria; Geography; Biology; Cartography; Phytoplankton","score_opus":0.01279518667608171,"score_gpt":0.2611033875568989,"score_spread":0.24830820088081718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587499075","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":[0.9954002,0.00032535853,0.0021636474,0.00038667326,0.00012863318,0.0004711471,0.0010445192,0.000016162012,0.000063655396],"genre_scores_gemma":[0.992582,0.00030178088,0.0069137095,0.00010955182,0.000035242545,0.000014744511,0.00003158401,0.000004448685,0.00000694361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892116,0.00005308306,0.00029421123,0.0003406443,0.000065322674,0.00032559363],"domain_scores_gemma":[0.99922174,0.00007890831,0.00031588477,0.00018073388,0.0000043448517,0.00019839685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028394748,0.00012731332,0.00021893768,0.000020513013,0.0007994897,0.00006260565,0.0001343122,0.00016165376,0.000026433756],"category_scores_gemma":[0.000045514018,0.0001150823,0.000042701467,0.00006497079,0.00024849424,0.00014279562,0.00010813276,0.00011031038,0.0000012931342],"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":[0.00005918321,0.00003383918,0.9982988,0.000010792924,0.00001250151,0.0000016121576,0.000291915,0.000112711,0.000019708237,0.00042250284,0.000053918426,0.0006824864],"study_design_scores_gemma":[0.00062117074,0.00024582323,0.9396144,0.000033378852,0.000012796287,0.000014354446,0.00018349738,0.0524273,0.000005868521,0.006250379,0.00046233687,0.00012869132],"about_ca_topic_score_codex":0.005565058,"about_ca_topic_score_gemma":0.15340328,"teacher_disagreement_score":0.14783822,"about_ca_system_score_codex":0.000055909877,"about_ca_system_score_gemma":0.000021817004,"threshold_uncertainty_score":0.86204493},"labels":[],"label_agreement":null},{"id":"W2587868184","doi":"10.1111/geb.12573","title":"Sensitivity of community‐level trait–environment relationships to data representativeness: A test for functional biogeography","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Environment Research Council; Fondation pour la Recherche sur la Biodiversite","keywords":"Representativeness heuristic; Trait; Ecology; Null model; Biology; Statistics; Mathematics; Computer science","score_opus":0.07800000465824944,"score_gpt":0.29554783862669337,"score_spread":0.21754783396844393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587868184","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":[0.9877022,0.000036727797,0.0035370651,0.0024432635,0.00016579473,0.00048492488,0.0042101634,0.000019013973,0.0014008343],"genre_scores_gemma":[0.99596465,0.00004497167,0.0033430094,0.00029193412,0.00001545955,0.0000529916,0.0002632004,0.0000042936476,0.000019514804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877584,0.00029532405,0.00023482012,0.00034565787,0.00010537314,0.0002430034],"domain_scores_gemma":[0.99803627,0.0009184968,0.00021373968,0.00071649544,0.000023360324,0.00009161902],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013685209,0.00015076529,0.00023040724,0.000067673034,0.0021007739,0.000020986216,0.00035858128,0.0001480373,0.00005500347],"category_scores_gemma":[0.00065367547,0.00014487017,0.00008687592,0.00015648194,0.0015429241,0.00022292534,0.0009642141,0.0001561397,0.000016599879],"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":[0.00007281539,0.00028282194,0.99576503,0.000010385307,0.00010827686,0.0000014051531,0.00008853314,0.00007381694,0.0002637312,0.0007739788,0.0014903684,0.0010688305],"study_design_scores_gemma":[0.0005169274,0.00022606648,0.98982286,0.000004679242,0.00007607422,0.000009228915,0.00027287312,0.0002731183,0.000027035918,0.0077196495,0.0009096528,0.00014183098],"about_ca_topic_score_codex":0.00086075265,"about_ca_topic_score_gemma":0.017210163,"teacher_disagreement_score":0.01634941,"about_ca_system_score_codex":0.00002370899,"about_ca_system_score_gemma":0.0000090358335,"threshold_uncertainty_score":0.9991984},"labels":[],"label_agreement":null},{"id":"W2598342138","doi":"10.1111/geb.12580","title":"Combining phylogeny and co‐occurrence to improve single species distribution models","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Phylogenetic tree; Phylogenetics; Biology; Ecology; Species distribution; Biodiversity; Trait; Environmental niche modelling; Evolutionary biology; Evolutionary ecology; Ecological niche; Computer science; Habitat","score_opus":0.02361424602875533,"score_gpt":0.25126003195371155,"score_spread":0.2276457859249562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598342138","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":[0.97950214,0.00006274293,0.00008168152,0.00077791687,0.00022869934,0.00015659902,0.003779971,0.000028767414,0.015381471],"genre_scores_gemma":[0.99922955,0.00011884117,0.000029323952,0.00034565412,0.000013710872,0.00001369273,0.00023096136,0.0000016440567,0.000016633918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912757,0.000020021096,0.00011608924,0.0003341014,0.00009578226,0.0003064431],"domain_scores_gemma":[0.9995234,0.000014589079,0.000083395986,0.00020570892,0.000012238932,0.00016066607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011554469,0.00012887586,0.00014061423,0.0000141842265,0.00069298496,0.00012391186,0.0001863332,0.00010160972,0.00081179995],"category_scores_gemma":[0.000035315148,0.0001191799,0.000043266733,0.000099914796,0.0008061525,0.00017665338,0.00032449173,0.00005617851,0.00007790824],"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":[0.000036550242,0.00010061859,0.9808235,0.000005106613,0.000014119205,0.0000048658076,0.00003682411,0.0000015626196,0.0026936894,0.007573462,0.0056415633,0.0030681104],"study_design_scores_gemma":[0.0003137097,0.00021400042,0.9834602,0.0000032762289,0.00001353169,0.000009042133,0.00020887812,0.000030137442,0.0003559393,0.0016617842,0.013577272,0.00015224883],"about_ca_topic_score_codex":0.00017128243,"about_ca_topic_score_gemma":0.0006170092,"teacher_disagreement_score":0.019727388,"about_ca_system_score_codex":0.000085394255,"about_ca_system_score_gemma":0.0000030409894,"threshold_uncertainty_score":0.88886404},"labels":[],"label_agreement":null},{"id":"W2601358885","doi":"10.1111/geb.12579","title":"Diversity and suitability of existing methods and metrics for quantifying species range shifts","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"Range (aeronautics); Species distribution; Ecology; Species richness; Taxon; Biodiversity; Global biodiversity; Biology; Habitat","score_opus":0.13494144412365439,"score_gpt":0.36272811979531894,"score_spread":0.22778667567166455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601358885","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":[0.9951628,0.00037790334,0.00013497393,0.00022514281,0.00011042658,0.00015071001,0.00030700737,0.000010359205,0.0035206808],"genre_scores_gemma":[0.9978499,0.0003405216,0.0017283882,0.000058395384,0.0000065727527,0.000003567218,0.0000055913542,0.0000012496905,0.0000058296027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993574,0.0000461788,0.00010964618,0.00024092243,0.0000622225,0.00018361461],"domain_scores_gemma":[0.99952126,0.00014300089,0.000116797404,0.00013149915,0.000015197221,0.00007226733],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006171624,0.000085639855,0.00017434466,0.000026473523,0.0018505766,0.000025797244,0.000120782606,0.00009174659,0.00030333016],"category_scores_gemma":[0.00029510484,0.00007638618,0.000051440966,0.00011467782,0.0011167176,0.00010973433,0.0013507665,0.00003549472,7.4485234e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032342312,0.000027926588,0.99303025,0.0000260332,0.000014792706,5.993232e-7,0.00009154929,2.3058782e-8,0.00013679233,0.0035681946,0.00006310648,0.0030083884],"study_design_scores_gemma":[0.00038649156,0.00008296513,0.9950635,0.0000022690856,0.00003700385,0.0000024999904,0.00050291704,0.000014611524,0.00009284182,0.0018877103,0.0018461938,0.000080990074],"about_ca_topic_score_codex":0.0005899012,"about_ca_topic_score_gemma":0.0014436445,"teacher_disagreement_score":0.0035148512,"about_ca_system_score_codex":0.000031656746,"about_ca_system_score_gemma":0.0000015221461,"threshold_uncertainty_score":0.9994489},"labels":[],"label_agreement":null},{"id":"W2608623023","doi":"10.1111/geb.12588","title":"Aggregate patterns of macrofaunal diversity: An interocean comparison","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Species richness; Ecology; Benthic zone; Biodiversity; Geography; Range (aeronautics); Habitat; Temperate climate; Oceanography; Macroecology; Environmental science; Biology; Geology","score_opus":0.021366939397234296,"score_gpt":0.27153923960015125,"score_spread":0.250172300202917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608623023","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":[0.99638546,0.00020057173,0.0000031171016,0.00028472012,0.00034609815,0.00008054644,0.0002384425,0.000015614989,0.0024454233],"genre_scores_gemma":[0.9994978,0.00013846222,0.000043467633,0.00016027369,0.00003446728,4.000791e-7,0.000105101615,6.964858e-7,0.00001933027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990914,0.00009792235,0.00015261062,0.00026577848,0.000070421236,0.00032189532],"domain_scores_gemma":[0.9993942,0.000040231807,0.00015102331,0.00023449858,0.00003916198,0.00014091741],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028982686,0.00010881584,0.00023807766,0.00007397486,0.0009804501,0.00003163243,0.0004980057,0.00020051969,0.00091863406],"category_scores_gemma":[0.00002987082,0.00008913618,0.000064931744,0.000052034906,0.0007319456,0.0001576211,0.0002654963,0.00013199705,0.000025302796],"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":[0.00017481971,0.00004352929,0.98236173,0.0000116960155,0.00007211225,0.000019372164,0.000029836501,7.326362e-7,0.0000010580137,0.00015932399,0.00010567427,0.017020117],"study_design_scores_gemma":[0.00037208237,0.0006843999,0.9965967,0.0000040889645,0.000021814501,0.000021801387,0.000093481714,0.00017349173,0.000018581071,0.0015850421,0.00033382548,0.000094718],"about_ca_topic_score_codex":0.0046311026,"about_ca_topic_score_gemma":0.055412352,"teacher_disagreement_score":0.05078125,"about_ca_system_score_codex":0.0000016067447,"about_ca_system_score_gemma":0.000013458696,"threshold_uncertainty_score":0.99999464},"labels":[],"label_agreement":null},{"id":"W2609231888","doi":"10.1111/geb.12589","title":"Estimating regional species richness: The case of China's vascular plant species","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Sun Yat-sen University","keywords":"Species richness; Vascular plant; China; Ecology; Biodiversity; Geography; Taxon; Plant species; Endemism; Biology; Archaeology","score_opus":0.009312986631539314,"score_gpt":0.22480099380304955,"score_spread":0.21548800717151023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609231888","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":[0.988846,0.00019099645,0.000067300876,0.0013735739,0.00025153838,0.00011242753,0.00007362875,0.000012499763,0.0090720495],"genre_scores_gemma":[0.9986519,0.00015865323,0.00093427266,0.0001611436,0.000031440446,0.000009951504,0.0000068297695,0.0000018372866,0.00004396706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999338,0.00005135367,0.00015150287,0.000203471,0.00006421725,0.00019148551],"domain_scores_gemma":[0.9994765,0.000059415997,0.00018542168,0.00023475027,0.0000103944485,0.0000335437],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00026032262,0.00010912156,0.00016225466,0.00002125548,0.0014719521,0.000025705185,0.00023387693,0.00008797499,0.0001510431],"category_scores_gemma":[0.00006874558,0.00007269624,0.00008721785,0.000089442125,0.0023757522,0.00009538207,0.00030289273,0.00008050136,0.00001160994],"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":[0.000010337551,0.00003963548,0.9884048,0.000006686484,0.00007805112,0.00008373702,0.00011264762,0.00009785047,0.000018489067,0.010145135,0.0007322969,0.00027033195],"study_design_scores_gemma":[0.00019830969,0.000063131825,0.9882639,0.000004259063,0.000044613083,0.00027243813,0.00020844606,0.0007630277,0.00000530737,0.0091908,0.00090158096,0.00008420299],"about_ca_topic_score_codex":0.0003549656,"about_ca_topic_score_gemma":0.0063469536,"teacher_disagreement_score":0.00980592,"about_ca_system_score_codex":0.00001448892,"about_ca_system_score_gemma":0.0000048308552,"threshold_uncertainty_score":0.999828},"labels":[],"label_agreement":null},{"id":"W2708941183","doi":"10.1111/geb.12600","title":"Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parks Canada","funders":"U.S. Forest Service; Division of Environmental Biology; Norges Forskningsråd; Ministry of Environment; Wildlife Conservation Society; Parks Canada; World Wildlife Fund; United States Agency for International Development; National Science Foundation","keywords":"Carnivore; Camera trap; Species richness; Occupancy; Geography; Ecology; Biodiversity; Wildlife; Predation; Biology","score_opus":0.009231185370255888,"score_gpt":0.25576125248819537,"score_spread":0.24653006711793948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2708941183","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":[0.9964203,0.00011593758,0.0006672392,0.0008586126,0.00023028442,0.00014202093,0.00013407425,0.000022292255,0.0014092188],"genre_scores_gemma":[0.999111,0.00004214155,0.00017689861,0.00058990245,0.000017137869,0.000015426001,0.000037764,0.0000032908597,0.000006416484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858564,0.0002766904,0.00021840163,0.0004473406,0.000086123946,0.00038581793],"domain_scores_gemma":[0.99949485,0.000045160494,0.00015470509,0.00019060019,0.000009589364,0.00010512045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057264627,0.00018633058,0.0002259204,0.000027555529,0.00062392786,0.00013023462,0.00022621125,0.00029011225,0.00009360072],"category_scores_gemma":[0.000047341993,0.00017261463,0.00004483341,0.00018553133,0.0009355246,0.00046441995,0.00020400109,0.00016147674,0.000009002533],"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":[0.000013343626,0.000058293583,0.9617616,0.0000066243965,0.000014493963,0.000027432623,0.000023170203,0.0000013968574,0.000008489897,0.00009919641,0.00029665994,0.037689287],"study_design_scores_gemma":[0.0005024177,0.00008999478,0.9975066,0.000012623972,0.000018323928,0.000031358653,0.00030635073,0.00015794285,0.000004422194,0.001009561,0.00017367413,0.00018671375],"about_ca_topic_score_codex":0.009524325,"about_ca_topic_score_gemma":0.06242568,"teacher_disagreement_score":0.052901357,"about_ca_system_score_codex":0.00007580114,"about_ca_system_score_gemma":0.000016270764,"threshold_uncertainty_score":0.9970713},"labels":[],"label_agreement":null},{"id":"W2734981709","doi":"10.1111/geb.12613","title":"Phylogenetic age differences in tree assemblages across the Northern Hemisphere increase with long‐term climate stability in unstable regions","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":16,"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 Alberta","funders":"Inner Mongolia University; Queen's University; H2020 European Research Council; Queen's University Belfast; Aarhus Universitets Forskningsfond; Natur og Univers, Det Frie Forskningsråd; Danmarks Frie Forskningsfond; Villum Fonden; Aarhus Universitet","keywords":"Phylogenetic tree; Ecology; Climate change; Quaternary; Southern Hemisphere; Northern Hemisphere; Glacial period; Interglacial; Pleistocene; Biology; Geography; Climatology; Geology; Paleontology","score_opus":0.017664595032507738,"score_gpt":0.2517946762716672,"score_spread":0.23413008123915946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734981709","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":[0.9944708,0.0011489731,6.5720747e-7,0.0008669186,0.00007393036,0.00029281838,0.0001503771,0.000014712675,0.0029808339],"genre_scores_gemma":[0.99898136,0.00079172634,0.000022709866,0.00011675617,0.000013198707,0.000011988396,0.0000533197,0.0000016347182,0.0000073091937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803776,0.00036207802,0.00021844865,0.00045985714,0.0001108893,0.000810976],"domain_scores_gemma":[0.9989942,0.00027758867,0.00011899812,0.0004549246,0.000032740172,0.000121549696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069668196,0.00019985839,0.00034479902,0.000050808983,0.0009301339,0.000101981415,0.0005751525,0.00026267636,0.00013697095],"category_scores_gemma":[0.00006708416,0.00012141089,0.000055938526,0.00027371704,0.0023806489,0.00012473097,0.00009461733,0.0003098476,0.000018287628],"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":[0.00032857165,0.00007569241,0.9973596,0.000027613429,0.00003340894,0.0003444425,0.00009578577,0.000005028462,0.0000016458741,0.00004187643,0.000003254381,0.0016830987],"study_design_scores_gemma":[0.00076315965,0.00024250138,0.9970873,0.00001862233,0.000015150301,0.00008132072,0.00030497616,0.000029099063,0.000005267636,0.0012904922,0.00001041028,0.00015167383],"about_ca_topic_score_codex":0.0065881996,"about_ca_topic_score_gemma":0.9288969,"teacher_disagreement_score":0.9223087,"about_ca_system_score_codex":0.0000025418562,"about_ca_system_score_gemma":0.00005438834,"threshold_uncertainty_score":0.99594307},"labels":[],"label_agreement":null},{"id":"W2740008565","doi":"10.1111/geb.12615","title":"Phylogenetic patterns of rarity in a regional species pool of tropical woody plants","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","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":"Universidad Autónoma de Madrid; McGill University; Missouri Botanical Garden; National Geographic Society; National Science Foundation","keywords":"Phylogenetic tree; Range (aeronautics); Ecology; Biology; Abundance (ecology); Habitat; Taxon; Extinction (optical mineralogy); Taxonomic rank; Clade","score_opus":0.011122202462277728,"score_gpt":0.23279552704909126,"score_spread":0.22167332458681355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740008565","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":[0.9979724,0.00009346423,0.000009056397,0.00038407327,0.00007321,0.000083270184,0.00008695685,0.0000029564335,0.0012945704],"genre_scores_gemma":[0.9994207,0.00035565143,0.00010915577,0.000087875655,0.0000064359583,0.000005344166,0.0000043591217,0.0000010026614,0.000009488216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941295,0.00004133765,0.00016767706,0.0001661937,0.00006216434,0.00014968072],"domain_scores_gemma":[0.99966466,0.000032514923,0.00013884026,0.00012893067,0.0000063940356,0.00002866776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007478121,0.000073865696,0.00018520141,0.000033818666,0.00013044447,0.000003517717,0.00016412717,0.000110218,0.000104604405],"category_scores_gemma":[0.000023705767,0.000064914115,0.0000498222,0.00004964609,0.0009597341,0.000039995666,0.00017062543,0.000055414548,0.0000038413505],"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":[0.000047735968,0.00012228212,0.9977826,0.000008255578,0.000029288796,0.000005349755,0.000042794978,0.000008178999,0.00011839172,0.0014006927,0.00003453456,0.00039991515],"study_design_scores_gemma":[0.00045695592,0.00014253653,0.9941169,0.000006040825,0.000010363125,0.0000057791485,0.000057098554,0.000030433921,0.000040895615,0.005015442,0.000059334154,0.000058203714],"about_ca_topic_score_codex":0.00038783115,"about_ca_topic_score_gemma":0.015485443,"teacher_disagreement_score":0.0150976125,"about_ca_system_score_codex":0.000011028502,"about_ca_system_score_gemma":0.0000049992686,"threshold_uncertainty_score":0.8641241},"labels":[],"label_agreement":null},{"id":"W2754410234","doi":"10.1111/geb.12630","title":"The spatial scale of time‐lagged population synchrony increases with species dispersal distance","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Breeding bird survey; Population; Spatial ecology; Ecology; Population density; Mark and recapture; Abundance (ecology); Biology; Scale (ratio); Density dependence; Population size; Geography; Demography; Cartography","score_opus":0.0036093970397059,"score_gpt":0.20624962173490163,"score_spread":0.20264022469519574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754410234","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":[0.99586636,0.00010457676,0.000017377946,0.0003443521,0.000067420006,0.00012520608,0.00007292005,0.000012796428,0.0033890055],"genre_scores_gemma":[0.9996699,0.00012056495,0.00007552499,0.000035210807,0.000018232953,0.00000958775,0.00000810149,0.0000021878311,0.000060659106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933994,0.00004019963,0.00011948051,0.00020324577,0.00009197017,0.00020518505],"domain_scores_gemma":[0.9995653,0.000045673758,0.00015364442,0.00018430335,0.000009748141,0.000041342533],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00011474008,0.00010776768,0.00015679491,0.000009389977,0.0013476812,0.000025213634,0.00020103068,0.000079450074,0.00017715721],"category_scores_gemma":[0.000027749777,0.000064855,0.00004855944,0.00006176177,0.0026625867,0.00010238282,0.00020104217,0.000052996827,0.00001862501],"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":[0.00017832746,0.000070527945,0.99734724,0.0000019917343,0.00002659507,0.000003711291,0.00001105668,0.0000012822809,0.000081853555,0.00032806984,0.00022019674,0.0017291706],"study_design_scores_gemma":[0.00025293298,0.000303884,0.9982886,0.00000465061,0.000055808774,0.0000071234713,0.00005414981,0.0000186393,0.00003107473,0.00031202348,0.00058251235,0.0000886129],"about_ca_topic_score_codex":0.004087601,"about_ca_topic_score_gemma":0.07478724,"teacher_disagreement_score":0.07069963,"about_ca_system_score_codex":0.000023537772,"about_ca_system_score_gemma":0.0000043175537,"threshold_uncertainty_score":0.99995244},"labels":[],"label_agreement":null},{"id":"W2755921820","doi":"10.1111/geb.12623","title":"Plant community structure and nitrogen inputs modulate the climate signal on leaf traits","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Research Council","keywords":"Specific leaf area; Growing season; Trait; Agronomy; Plant community; Ecosystem; Ecology; Biogeochemical cycle; Environmental science; Biology; Plant functional type; Vegetation (pathology); Terrestrial ecosystem; Environmental gradient; Abundance (ecology); Botany; Photosynthesis; Habitat; Ecological succession","score_opus":0.008296487083544286,"score_gpt":0.2229101767846993,"score_spread":0.21461368970115502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755921820","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":[0.9956358,0.000064902786,0.0000022275317,0.0012479246,0.00009297934,0.0001315523,0.0003542036,0.000015640684,0.0024547782],"genre_scores_gemma":[0.9984041,0.00015026708,0.000057070294,0.0013487587,0.000011883934,0.000006418778,0.000015423506,0.0000022476909,0.000003849491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926704,0.00014341057,0.00010248343,0.00018101733,0.000058235717,0.00024782322],"domain_scores_gemma":[0.99958575,0.00007900281,0.00009899102,0.00017810377,0.000005793539,0.000052357766],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00022605219,0.00012709053,0.00013644186,0.000017332537,0.0028567153,0.000039759787,0.00024196455,0.00013914386,0.000068115],"category_scores_gemma":[0.000018766454,0.00008384638,0.000038217586,0.00005103714,0.0014557492,0.00007812433,0.00036474038,0.00022110736,0.000012311431],"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":[0.00004956383,0.000035199926,0.9966071,0.0000042643487,0.000055826302,0.0000045416614,0.00011229734,0.000031818723,0.00007232585,0.0016251148,0.00014359894,0.0012583286],"study_design_scores_gemma":[0.0003141909,0.00022074317,0.9729161,0.0000029845378,0.000029854884,0.000025614438,0.000052705753,0.000167532,0.000020273508,0.025980202,0.00017640933,0.00009334577],"about_ca_topic_score_codex":0.00019587191,"about_ca_topic_score_gemma":0.009048624,"teacher_disagreement_score":0.024355087,"about_ca_system_score_codex":0.000012596131,"about_ca_system_score_gemma":0.0000026534306,"threshold_uncertainty_score":0.99844146},"labels":[],"label_agreement":null},{"id":"W2755934091","doi":"10.1111/geb.12632","title":"Global patterns of β‐diversity along the phylogenetic time‐scale: The role of climate and plate tectonics","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"European Research Council; National Science Foundation","keywords":"Geography; Phylogenetic tree; Ecology; Plate tectonics; Phylogenetic diversity; Taxon; Macroecology; Paleontology; Tectonics; Continental drift; Mammal; Species richness; Geology; Biology","score_opus":0.006719079231038836,"score_gpt":0.20566842486601386,"score_spread":0.19894934563497502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755934091","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":[0.98714274,0.004915817,9.965054e-7,0.00047579635,0.00012009458,0.000108679254,0.00108639,0.0000066772996,0.006142794],"genre_scores_gemma":[0.99740255,0.0024179232,0.000032035015,0.00012411101,0.000011883223,4.4415637e-7,0.000008443677,3.7747574e-7,0.0000022223373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993363,0.00008642396,0.00013251742,0.00015884466,0.0000740329,0.00021187913],"domain_scores_gemma":[0.9994848,0.00008066096,0.00016978658,0.00019091072,0.000033621196,0.0000402383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023497925,0.000096572374,0.00017730823,0.000016721664,0.0011295341,0.000014905757,0.00028665378,0.00009928324,0.00006453947],"category_scores_gemma":[0.000016478114,0.000054501776,0.00006411793,0.00007664435,0.001301623,0.000038866277,0.00015986671,0.00005469151,0.0000044321564],"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":[0.000049524206,0.000009757226,0.9928738,0.000008324173,0.000090179805,0.0000015582012,0.000053116277,0.0000048943775,0.0000014977934,0.00018180619,0.000030927367,0.0066946405],"study_design_scores_gemma":[0.00022416445,0.00013681914,0.9970494,0.000005100232,0.00007862701,0.000022862108,0.00025563108,0.0001278632,0.000004195939,0.0016317829,0.0004037183,0.00005983682],"about_ca_topic_score_codex":0.0040244246,"about_ca_topic_score_gemma":0.1746402,"teacher_disagreement_score":0.17061578,"about_ca_system_score_codex":0.000001081257,"about_ca_system_score_gemma":0.000009735054,"threshold_uncertainty_score":0.8687577},"labels":[],"label_agreement":null},{"id":"W2756226237","doi":"10.1111/geb.12628","title":"Scale dependence of environmental controls on the functional diversity of coral reef fish communities","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria; University of British Columbia","funders":"Coral Reef Conservation Program; Natural Sciences and Engineering Research Council of Canada; U.S. Fish and Wildlife Service; Division of Ocean Sciences; National Socio-Environmental Synthesis Center; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Species evenness; Ecology; Species richness; Coral reef; Spatial ecology; Community; Coral reef fish; Habitat; Environmental science; Biology","score_opus":0.012538463017741749,"score_gpt":0.1897250143291033,"score_spread":0.17718655131136155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756226237","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":[0.99436915,0.000018939649,0.0000012376926,0.0005941083,0.000128256,0.00011297346,0.00034249766,0.0000042420847,0.004428606],"genre_scores_gemma":[0.99966055,0.00008312126,0.000009691447,0.00019138378,0.00000838706,0.0000045890924,0.000004953048,8.608624e-7,0.000036479403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951035,0.00004847777,0.00010663399,0.00010055167,0.00011644321,0.00011756007],"domain_scores_gemma":[0.99955285,0.00006937792,0.00014623463,0.00020061372,0.000004613668,0.000026313668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001446478,0.00007689671,0.00014700761,0.000011205159,0.00088896084,0.0000072630405,0.00025203102,0.0000474714,0.00035867645],"category_scores_gemma":[0.0000102851645,0.000047334746,0.000072159506,0.000029637682,0.001457385,0.000067468,0.0012219237,0.00005713874,0.000009235826],"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":[0.00008778384,0.00008374129,0.99731845,0.0000030895972,0.00003687268,8.3334015e-7,0.00003617192,6.4618695e-7,0.00009645472,0.00022983349,0.000849621,0.0012564859],"study_design_scores_gemma":[0.00028579682,0.00022995143,0.99729705,0.000004938693,0.000022915787,0.0000039313336,0.00036506148,0.0000076414135,0.00007397191,0.0011835401,0.00047222592,0.000052950243],"about_ca_topic_score_codex":0.0019483541,"about_ca_topic_score_gemma":0.012624543,"teacher_disagreement_score":0.010676189,"about_ca_system_score_codex":0.000014911982,"about_ca_system_score_gemma":0.0000019028836,"threshold_uncertainty_score":0.70447916},"labels":[],"label_agreement":null},{"id":"W2763951610","doi":"10.1111/geb.12640","title":"Diatom diversity patterns over the past<i>c</i>. 150 years across the conterminous United States of America: Identifying mechanisms behind beta diversity","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; McGill University","funders":"","keywords":"Beta diversity; Diatom; Gamma diversity; Alpha diversity; Ecology; Biodiversity; Geography; Diversity (politics); Species diversity; Taxon; Land cover; Temporal scales; Abundance (ecology); Spatial ecology; Environmental science; Physical geography; Land use; Biology","score_opus":0.018259218936189685,"score_gpt":0.27940160021035687,"score_spread":0.26114238127416717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763951610","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":[0.99710256,0.000101517755,0.0000701493,0.00044811488,0.00032725156,0.00020221456,0.0016866081,0.000019467549,0.000042095275],"genre_scores_gemma":[0.99911594,0.00031851305,0.00002386668,0.0004762012,0.000027586615,0.0000041393196,0.00002276465,0.0000033265435,0.000007685822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986681,0.0001560503,0.00015181744,0.00029336952,0.00027512023,0.00045556595],"domain_scores_gemma":[0.9990172,0.00012234497,0.00024815704,0.0004386271,0.00008499917,0.000088673514],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005852799,0.00013720564,0.00022328211,0.00004615369,0.0030927984,0.00022555055,0.0010969642,0.00009654198,0.00009157924],"category_scores_gemma":[0.000023972381,0.00008540324,0.00013562638,0.00013512518,0.0013701239,0.00019107721,0.004524683,0.00012731596,0.000014359538],"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":[0.000047555848,0.00006374873,0.99712646,0.000013648601,0.00007618923,0.000029673205,0.0007151213,0.0000015465401,0.0002393714,0.0002750196,0.00030301695,0.0011086614],"study_design_scores_gemma":[0.00043517706,0.00010837673,0.9954464,0.00000870712,0.000053741765,0.000004670505,0.0012166146,0.000017632061,0.00027574736,0.0019147014,0.00041332727,0.00010489438],"about_ca_topic_score_codex":0.015564538,"about_ca_topic_score_gemma":0.0025028184,"teacher_disagreement_score":0.013061719,"about_ca_system_score_codex":0.000015162521,"about_ca_system_score_gemma":0.000013081396,"threshold_uncertainty_score":0.99820507},"labels":[],"label_agreement":null},{"id":"W2768865652","doi":"10.1111/geb.12680","title":"Host specificity, infrequent major host switching and the diversification of highly host‐specific symbionts: The case of vane‐dwelling feather mites","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Bird parasitology and diseases","field":"Immunology and Microbiology","cited_by":52,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation; Ministerio de Economía y Competitividad","keywords":"Host (biology); Biology; Feather; Mite; Ecology; Phylogenetic tree; Zoology; Lineage (genetic); Evolutionary biology; Genetics","score_opus":0.00964060477800853,"score_gpt":0.2365654784145998,"score_spread":0.22692487363659125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768865652","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":[0.9792947,0.016731855,0.000028682634,0.001808972,0.00053571665,0.00037953717,0.00039771065,0.000019736284,0.0008030448],"genre_scores_gemma":[0.99785936,0.0018288795,0.000036937337,0.00017869272,0.000030888248,0.000013733727,0.000023007788,0.000005124511,0.000023375254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998692,0.0003116055,0.00034099421,0.00033923442,0.000031370517,0.00028481375],"domain_scores_gemma":[0.9984512,0.00040772426,0.00048062595,0.00052199647,0.000105272535,0.000033195563],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00045170428,0.00020837746,0.00038281907,0.000087349574,0.0013669477,0.00004517754,0.00040139616,0.00036005146,0.00005294997],"category_scores_gemma":[0.00008623591,0.00012553386,0.00016975864,0.00012132585,0.0036586039,0.00013825163,0.00022301014,0.00021407615,0.000014055117],"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":[0.0009264097,0.00017421258,0.93861705,0.00002928584,0.0005107497,0.000046035926,0.00023539552,2.4018115e-7,0.009646513,0.048804123,0.00042431048,0.00058569084],"study_design_scores_gemma":[0.0023365677,0.0001781878,0.9873034,0.000026973574,0.00030685315,0.00054108526,0.0012442444,0.0000019918414,0.0038554908,0.0028740647,0.0011731501,0.00015798968],"about_ca_topic_score_codex":0.0013778075,"about_ca_topic_score_gemma":0.00064458826,"teacher_disagreement_score":0.048686367,"about_ca_system_score_codex":0.000009014571,"about_ca_system_score_gemma":0.00002156254,"threshold_uncertainty_score":0.9999331},"labels":[],"label_agreement":null},{"id":"W2769075832","doi":"10.1111/geb.12672","title":"The latitudinal diversity gradient in New World swallowtail butterflies is caused by contrasting patterns of out‐of‐ and into‐the‐tropics dispersal","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Marie Curie; Agence Nationale de la Recherche; National Science Foundation","keywords":"Ecology; Biological dispersal; Cladogenesis; Abiotic component; Niche; Biogeography; Biology; Range (aeronautics); Temperate climate; Ecological niche; Clade; Tropics; Habitat; Phylogenetic tree; Population","score_opus":0.010499783760100393,"score_gpt":0.22887993189967018,"score_spread":0.2183801481395698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769075832","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":[0.99603707,0.001248854,0.000046524725,0.00187865,0.00016358218,0.0001179592,0.00008169969,0.0000020261034,0.00042365654],"genre_scores_gemma":[0.9990403,0.00060298963,0.0000291234,0.00023745098,0.000039864113,0.0000031803468,0.000014972003,0.0000016787085,0.000030417244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999331,0.00005538262,0.00016611775,0.00021425138,0.00003904781,0.0001942323],"domain_scores_gemma":[0.99950904,0.000045021257,0.00016935257,0.00019984582,0.000030009862,0.000046713827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015237967,0.000115154304,0.00016733323,0.00002365663,0.0004761276,0.000017629063,0.00023513401,0.00012703998,0.0000026442597],"category_scores_gemma":[0.00003892884,0.00007535351,0.00006741582,0.000035101653,0.000796452,0.0000062600734,0.00040700927,0.00008198212,2.5152346e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010177071,0.00002862504,0.9911469,0.000008925271,0.00014636652,0.0000017055553,0.00015982667,1.226402e-7,0.0001837487,0.00036196114,0.00020208354,0.0076579545],"study_design_scores_gemma":[0.0007494194,0.0002317155,0.9909584,0.000011987837,0.000039903076,0.0000019184874,0.00016498192,0.000006086667,0.00077825546,0.00052324176,0.0064352015,0.00009887137],"about_ca_topic_score_codex":0.0014117677,"about_ca_topic_score_gemma":0.021843236,"teacher_disagreement_score":0.020431468,"about_ca_system_score_codex":0.0000048360916,"about_ca_system_score_gemma":0.000021231583,"threshold_uncertainty_score":0.9960056},"labels":[],"label_agreement":null},{"id":"W2770378419","doi":"10.1111/geb.12667","title":"Biotic interchange has structured Western Hemisphere mammal communities","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Museum of Nature","funders":"Smithsonian Institution; National Science Foundation","keywords":"Ecology; Species richness; Mammal; Biological dispersal; Biology; Macroecology; Temperate climate; Population","score_opus":0.030910990725530135,"score_gpt":0.24376715815513367,"score_spread":0.21285616742960353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770378419","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":[0.98323816,0.002954916,0.000003262804,0.0018614676,0.0006915864,0.00009090772,0.00036293463,0.000041409403,0.010755361],"genre_scores_gemma":[0.99863106,0.00040008462,0.00013498464,0.00066961267,0.000059911585,0.0000010615875,0.0000633501,9.709247e-7,0.000038949718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925965,0.00008468363,0.00012613917,0.00016618091,0.000059790265,0.00030352554],"domain_scores_gemma":[0.9994763,0.00005422152,0.00009860178,0.00024907888,0.00003136549,0.00009040319],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000107527216,0.00014757343,0.0002086613,0.00004090832,0.0014559118,0.000116245625,0.0003292502,0.00017625856,0.00053293956],"category_scores_gemma":[0.000016928445,0.00011675123,0.00006915375,0.000057174173,0.0017363629,0.00012215054,0.0000633803,0.00012767572,0.000049106973],"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":[0.00004748156,0.000007988517,0.99398524,0.000011355486,0.00008262819,0.000012546283,0.00013113502,5.365838e-7,6.772168e-7,0.0001011081,0.0006216443,0.004997652],"study_design_scores_gemma":[0.00034150266,0.00016417843,0.9916673,0.000008825648,0.00003122949,0.000062081526,0.000700846,0.000029061579,0.0000022438057,0.0013942871,0.005462662,0.00013581521],"about_ca_topic_score_codex":0.0064221327,"about_ca_topic_score_gemma":0.69761676,"teacher_disagreement_score":0.69119465,"about_ca_system_score_codex":0.0000020024265,"about_ca_system_score_gemma":0.000014118451,"threshold_uncertainty_score":0.9998441},"labels":[],"label_agreement":null},{"id":"W2774399707","doi":"10.1111/geb.12689","title":"In gratitude for altruistic peer reviewers ‐ Reviewer and Associate Editor awards 2017","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Global Health and Surgery","field":"Medicine","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":"Gratitude; Function (biology); Psychology; Publication; Computer science; Social psychology; Political science; Law; Biology","score_opus":0.016304073188835262,"score_gpt":0.3389570311325946,"score_spread":0.32265295794375937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774399707","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":[0.8607057,0.05207951,0.000016334174,0.049400397,0.026436463,0.0031575365,0.0010822129,0.0000681345,0.007053734],"genre_scores_gemma":[0.9425695,0.035887577,0.0011113553,0.016305083,0.0033968894,0.00021433094,0.00012501674,0.0000144767455,0.00037580484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986264,0.000057740617,0.00032394638,0.00033818104,0.00014932701,0.00050436973],"domain_scores_gemma":[0.99881977,0.00009377165,0.00019288184,0.00028057987,0.00032972795,0.00028329002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012408484,0.00017057639,0.0006002042,0.00007557906,0.0003701796,0.00003564151,0.00009438616,0.00026048027,0.000017857315],"category_scores_gemma":[0.0026411584,0.00013641147,0.0001482065,0.000097013115,0.00030984834,0.00009044536,0.0000588999,0.00013115679,0.0000094728275],"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":[0.00011539398,0.00005417492,0.72910196,0.00033546315,0.000039078266,0.000026577518,0.000005474005,6.8152257e-9,9.404012e-7,0.00058109534,0.26747698,0.0022628536],"study_design_scores_gemma":[0.00088361045,0.00019005919,0.63982445,0.00011695338,0.00008737103,0.000022632334,0.000007585378,0.000002983506,6.0347355e-7,0.0018161339,0.35695764,0.00008994168],"about_ca_topic_score_codex":0.00026378827,"about_ca_topic_score_gemma":0.00073438557,"teacher_disagreement_score":0.08948068,"about_ca_system_score_codex":0.00003964758,"about_ca_system_score_gemma":0.00010211887,"threshold_uncertainty_score":0.5562698},"labels":[],"label_agreement":null},{"id":"W2775058310","doi":"10.1111/geb.12690","title":"Concomitant impacts of climate change, fragmentation and non‐native species have led to reorganization of fish communities since the 1980s","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Climate change; Ecology; Population; Fragmentation (computing); Geography; Population dynamics of fisheries; Abundance (ecology); Population density; Biology; Environmental science; Fishery; Fish <Actinopterygii>","score_opus":0.010876891544196417,"score_gpt":0.2384533235081666,"score_spread":0.22757643196397018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775058310","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":[0.9889551,0.00001998755,0.0000076272067,0.004596938,0.000086293396,0.00032025104,0.0001280453,0.0000056445783,0.0058801114],"genre_scores_gemma":[0.99702424,0.001437544,0.0000763783,0.0014205268,0.000007814303,0.000015326124,0.000009909729,0.0000018446973,0.0000064411497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994957,0.000056619596,0.000134897,0.00010792819,0.000059580332,0.00014528786],"domain_scores_gemma":[0.99953353,0.00006810268,0.00019855252,0.00015300873,0.000021150858,0.000025643027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020577577,0.00008677021,0.0001609583,0.000030895262,0.0006111612,0.000016394351,0.00016074182,0.000056080262,0.00005414434],"category_scores_gemma":[0.00004119045,0.00006450866,0.000022425775,0.000090417,0.0013088878,0.00015007048,0.00049617107,0.000038967446,0.0000020172265],"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":[0.000046560384,0.000036419286,0.9963595,0.000014788939,0.000049827275,7.949467e-7,0.0011407608,0.0000017673719,0.00006172694,0.0011238788,0.0009289261,0.00023500252],"study_design_scores_gemma":[0.00032792057,0.00026484407,0.9951366,0.000012672127,0.000042264455,0.0000011037,0.0028944837,0.000014042246,0.00021891821,0.0007391859,0.00028513244,0.00006282045],"about_ca_topic_score_codex":0.0007222809,"about_ca_topic_score_gemma":0.041462947,"teacher_disagreement_score":0.040740665,"about_ca_system_score_codex":0.000014556421,"about_ca_system_score_gemma":0.0000017859032,"threshold_uncertainty_score":0.97602785},"labels":[],"label_agreement":null},{"id":"W2775717083","doi":"10.1111/geb.12729","title":"BioTIME: A database of biodiversity time series for the Anthropocene","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":450,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université du Québec à Trois-Rivières; Center for Northern Studies; Université du Québec à Montréal; University of Saskatchewan; Memorial University of Newfoundland","funders":"International Institute of Tropical Forestry; Natural Sciences and Engineering Research Council of Canada; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Departament d'Universitats, Recerca i Societat de la Informació; Russian Science Foundation; Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; Natural Environment Research Council; Norges Forskningsråd; U.S. Forest Service; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agència de Gestió d'Ajuts Universitaris i de Recerca; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; H2020 European Research Council; Deutscher Akademischer Austauschdienst; U.S. Department of Agriculture; International Seafood Sustainability Foundation; Comisión Nacional de Investigación Científica y Tecnológica; Wellcome Trust; Ministerio de Educación, Cultura y Deporte; Oregon State University; Pacific Northwest Research Station; California Department of Fish and Game; New Mexico State University; ArcticNet; Smithsonian Institution; Vulcan; University of Minnesota; National Science Foundation; Instituto Milenio de Oceanografía; Russell Sage Foundation; Wellcome; Gordon and Betty Moore Foundation; Deutsche Forschungsgemeinschaft; Università di Pisa; Sight Research UK; Andrew W. Mellon Foundation; University of St Andrews; University of Georgia","keywords":"Anthropocene; Biodiversity; Series (stratigraphy); Ecology; Geography; Environmental science; Archaeology; Geology; Biology; Paleontology","score_opus":0.006824513489655512,"score_gpt":0.2067829293099947,"score_spread":0.19995841582033919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775717083","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":[0.9949021,0.00025702626,0.000029512576,0.0012755117,0.00016646586,0.00030304707,0.0021117881,0.000020693744,0.0009338713],"genre_scores_gemma":[0.9918634,0.00081418845,0.0064373855,0.00076060207,0.00003077641,0.000006782686,0.000050180544,0.0000022427985,0.000034394336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999349,0.000024084273,0.000090804184,0.00024328698,0.00008624849,0.0002065914],"domain_scores_gemma":[0.99967694,0.000051568393,0.000062406565,0.00015755955,0.000008227279,0.000043304586],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00013143108,0.00010649871,0.00012354291,0.00001849653,0.00059152994,0.000006187541,0.00020158246,0.00006955136,0.00080696895],"category_scores_gemma":[0.000016468295,0.00007664286,0.000069564296,0.00022674142,0.0050998735,0.000106233194,0.00054878055,0.000030003728,0.00024981843],"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":[0.00009315406,0.00006414943,0.9750976,0.0000048756756,0.000072077,9.930519e-7,0.00002882187,3.5947932e-7,0.00051297125,0.000033126227,0.02358144,0.00051042193],"study_design_scores_gemma":[0.00029892795,0.00047814392,0.98696864,0.0000021245503,0.000082660226,0.0000056429117,0.00013150764,0.0000073831457,0.0017673683,0.0002259269,0.009935392,0.000096259326],"about_ca_topic_score_codex":0.00031151812,"about_ca_topic_score_gemma":0.00013740594,"teacher_disagreement_score":0.013646048,"about_ca_system_score_codex":0.00002390691,"about_ca_system_score_gemma":0.0000015377335,"threshold_uncertainty_score":0.99760765},"labels":[],"label_agreement":null},{"id":"W2776452547","doi":"10.1111/geb.12698","title":"Investigating biogeographical patterns using point‐based cartograms","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Phylogenetic tree; Context (archaeology); Visualization; Range (aeronautics); Geography; Computer science; Ecology; Biology; Data mining; Paleontology","score_opus":0.025698802433195594,"score_gpt":0.2683938102952646,"score_spread":0.24269500786206902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776452547","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":[0.9926746,0.000040503026,0.00003426252,0.0009882194,0.00023300761,0.00012936389,0.0003631683,0.000055121047,0.005481763],"genre_scores_gemma":[0.998422,0.000040763884,0.0002518122,0.0011869798,0.00002339613,0.000009268028,0.000059634298,0.0000045650827,0.0000015413957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988456,0.000047379828,0.00016651792,0.0003727079,0.00014784034,0.0004199614],"domain_scores_gemma":[0.9992868,0.00001783243,0.00014407882,0.0003210596,0.000012678933,0.00021756948],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017836627,0.00016887268,0.00016899809,0.000039998817,0.0010018172,0.00013181471,0.0002821166,0.00018432454,0.004130855],"category_scores_gemma":[0.00004966509,0.00015305176,0.00013296657,0.00022648569,0.0014067513,0.00018146764,0.00029199064,0.00010003114,0.00006514588],"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":[0.000005669066,0.000052269465,0.99786144,0.0000050432686,0.000014489186,0.000011193247,0.000008921609,0.0000014604203,0.00025144848,0.0005808747,0.00023770535,0.00096946367],"study_design_scores_gemma":[0.00042609297,0.000081260565,0.9961249,0.000008063551,0.000029917157,0.000023093102,0.00014944693,0.00017335947,0.000087289576,0.0005713763,0.0021400582,0.00018513516],"about_ca_topic_score_codex":0.0038083938,"about_ca_topic_score_gemma":0.005825779,"teacher_disagreement_score":0.0057474477,"about_ca_system_score_codex":0.00006616396,"about_ca_system_score_gemma":0.000006911228,"threshold_uncertainty_score":0.9967795},"labels":[],"label_agreement":null},{"id":"W2783093892","doi":"10.1111/geb.12712","title":"Regional forcing explains local species diversity and turnover on tropical islands","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":68,"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":"Alexander von Humboldt-Stiftung","keywords":"Archipelago; Ecology; Ordination; Insular biogeography; Geography; Species diversity; Biogeography; Tropics; Beta diversity; Gamma diversity; Tropical climate; Biology; Biodiversity; Alpha diversity","score_opus":0.009712006910003242,"score_gpt":0.2080877204892082,"score_spread":0.19837571357920497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783093892","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":[0.9875225,0.000033848763,0.00026265925,0.00069373957,0.00015125445,0.00006176748,0.000018369534,0.000018691479,0.011237191],"genre_scores_gemma":[0.9983172,0.000088859975,0.0001050557,0.001385024,0.000041119427,0.0000026482812,0.0000039413344,0.0000013509854,0.000054807708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993557,0.000033468536,0.000080780155,0.0002514702,0.00007326488,0.00020535431],"domain_scores_gemma":[0.99978375,0.00005436952,0.000032877855,0.00005982692,0.000008506875,0.000060674956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062519895,0.000098620185,0.00011376475,0.000029770485,0.0010984173,0.0000065188165,0.00006901321,0.00012163469,0.00017868506],"category_scores_gemma":[0.000010857065,0.00008115876,0.000038308117,0.00013681361,0.001985584,0.00006449791,0.00049324165,0.00007164869,0.000036689515],"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":[0.00007531563,0.000039894672,0.9903965,0.0000015479764,0.000030358542,0.000005441324,0.0001796945,0.0000024815567,0.00000442416,0.007310352,0.0015750331,0.0003789702],"study_design_scores_gemma":[0.00038703805,0.000449555,0.99026555,0.0000022021813,0.000017736482,0.000016690085,0.00014369159,0.00012605949,0.0000043546615,0.0059818313,0.0025122697,0.00009300527],"about_ca_topic_score_codex":0.000050750474,"about_ca_topic_score_gemma":0.0060929963,"teacher_disagreement_score":0.011182384,"about_ca_system_score_codex":0.000030235891,"about_ca_system_score_gemma":0.0000022543338,"threshold_uncertainty_score":0.8448249},"labels":[],"label_agreement":null},{"id":"W2784220428","doi":"10.1111/geb.12708","title":"Are North American bird species' geographic ranges mainly determined by climate?","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":41,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Occupancy; Biological dispersal; Breeding bird survey; Geography; Passerine; Ecology; Species distribution; Habitat; Climate change; Physical geography; Population; Biology","score_opus":0.00824159844474568,"score_gpt":0.21646668248873338,"score_spread":0.2082250840439877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784220428","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":[0.99096096,0.000094761934,0.0000036091915,0.0007028352,0.00021112549,0.00016202997,0.0012511557,0.00015349737,0.0064600194],"genre_scores_gemma":[0.9964304,0.00074288656,0.000048692356,0.0025990193,0.00004898944,0.000020996209,0.0000818146,0.00000877375,0.000018405495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984622,0.000061871986,0.00019541343,0.00047192592,0.00016163886,0.00064697926],"domain_scores_gemma":[0.99932855,0.00002376849,0.00019881756,0.00021331005,0.000021399394,0.0002141463],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011701617,0.00022416755,0.000254031,0.000059579994,0.00040855384,0.000045471563,0.0002309752,0.00009851997,0.0065382645],"category_scores_gemma":[0.000018178847,0.00019668827,0.000121251636,0.0011183976,0.0028889657,0.00008837439,0.0002354281,0.00008026728,0.0007664921],"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":[0.000059673795,0.00009519347,0.9845942,0.0000037272598,0.000024010693,0.000011256322,0.000010157813,2.9479063e-8,0.0002326424,0.00009456473,0.013633692,0.0012408146],"study_design_scores_gemma":[0.00036541288,0.00032429642,0.9398035,0.00000191943,0.000028124334,0.000020245223,0.00037890585,0.0000028306677,0.00007690916,0.000052139418,0.058719296,0.0002264617],"about_ca_topic_score_codex":0.0004939074,"about_ca_topic_score_gemma":0.043724645,"teacher_disagreement_score":0.045085605,"about_ca_system_score_codex":0.00007834485,"about_ca_system_score_gemma":0.0000027812384,"threshold_uncertainty_score":0.9998246},"labels":[],"label_agreement":null},{"id":"W2793110235","doi":"10.1111/geb.12725","title":"From tropical shelters to temperate defaunation: The relationship between agricultural transition stage and the distribution of threatened mammals","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":24,"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 Victoria","funders":"European Social Fund; European Regional Development Fund; Einstein Stiftung Berlin; Ministerio de Ciencia e Innovación; European Commission","keywords":"Threatened species; IUCN Red List; Defaunation; Biodiversity; Geography; Ecology; Near-threatened species; Temperate climate; Agriculture; Macroecology; Agroforestry; Biology; Habitat","score_opus":0.010157691816906794,"score_gpt":0.2214196101044816,"score_spread":0.21126191828757482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793110235","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":[0.9868009,0.000021816139,0.00024157144,0.012293731,0.0000717875,0.00024898953,0.00020200567,0.000011440376,0.00010773391],"genre_scores_gemma":[0.9989989,0.0000075521125,0.00006788486,0.0007331232,0.00006099026,0.000019884557,0.000103344806,0.0000010416321,0.000007283619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992874,0.00019347799,0.00015598572,0.00017308824,0.00006996512,0.00012006201],"domain_scores_gemma":[0.9995601,0.0002455443,0.00005759015,0.00008154466,0.000016784279,0.000038422117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002032694,0.00007682126,0.000105949795,0.000010451997,0.00039609225,0.000015994035,0.000083934094,0.00011209017,0.0000603277],"category_scores_gemma":[0.000053902706,0.000041218464,0.000038890656,0.00029058664,0.0010732305,0.00009161343,0.000045129596,0.000060301983,0.000015862914],"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":[0.000114806215,0.000009850594,0.99596155,9.0158323e-7,0.000022878638,1.8479676e-7,0.00017487894,0.0000047716885,0.000021394771,0.0031913193,0.00029498644,0.00020248455],"study_design_scores_gemma":[0.00052177144,0.0001269117,0.99130255,0.0000026920495,0.00005403234,0.0000021620062,0.0001625429,0.000014516948,0.00003605164,0.007609801,0.00011280689,0.000054134536],"about_ca_topic_score_codex":0.00040683252,"about_ca_topic_score_gemma":0.00091073225,"teacher_disagreement_score":0.01219797,"about_ca_system_score_codex":0.000018932073,"about_ca_system_score_gemma":0.0000038730477,"threshold_uncertainty_score":0.39543626},"labels":[],"label_agreement":null},{"id":"W2795986974","doi":"10.1111/geb.12736","title":"Population isolation predicts the severity of historical human epidemics","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Smallpox; Demography; Population; Isolation (microbiology); Mainland; Biology; Mortality rate; Geography; Ecology; Virology; Vaccination","score_opus":0.014341618969562405,"score_gpt":0.29013952489561756,"score_spread":0.27579790592605513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795986974","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":[0.993604,0.00020148858,0.00009896643,0.0031106288,0.0002800208,0.00019044633,0.00003581345,0.000023353234,0.0024552702],"genre_scores_gemma":[0.9982099,0.000032721753,0.0002194668,0.0012729199,0.0001922183,0.000003262589,0.000055908444,0.0000019065812,0.000011706172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993526,0.00006968125,0.00021109966,0.00013392579,0.00008251377,0.00015018508],"domain_scores_gemma":[0.9995442,0.000035205558,0.00009350752,0.00012762043,0.00008957896,0.00010989711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030271543,0.000063256375,0.00016875763,0.00004485922,0.00015436279,0.000003461793,0.00004164419,0.00012511555,0.000060584716],"category_scores_gemma":[0.000086098684,0.000042605978,0.00006731272,0.00025787635,0.00018425926,0.00003461437,0.00002423517,0.00006254283,0.0000018454614],"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":[0.00007426879,0.0000849773,0.9855323,0.000026546535,0.000029589688,7.0785387e-7,0.00002081305,9.357597e-8,0.0000044398234,0.0056299428,0.002608818,0.0059875296],"study_design_scores_gemma":[0.00034772325,0.0005697981,0.9857711,0.00000851135,0.00007422072,0.000017974418,0.000021635136,0.00014949784,0.0000013899554,0.0064511914,0.006550186,0.00003673437],"about_ca_topic_score_codex":0.0013879903,"about_ca_topic_score_gemma":0.00035255394,"teacher_disagreement_score":0.0059507955,"about_ca_system_score_codex":0.000058562782,"about_ca_system_score_gemma":0.000040594587,"threshold_uncertainty_score":0.20982355},"labels":[],"label_agreement":null},{"id":"W2796349974","doi":"10.1111/geb.12731","title":"Macrorefugia for North American trees and songbirds: Climatic limiting factors and multi‐scale topographic influences","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; University of Alberta","funders":"Wilburforce Foundation; John D. and Catherine T. MacArthur Foundation","keywords":"Songbird; Ecology; Precipitation; Geography; Climate change; Species richness; Elevation (ballistics); Physical geography; Vegetation (pathology); Woodland; Taxon; Spatial ecology; Biology","score_opus":0.014284609975509167,"score_gpt":0.2522112067918775,"score_spread":0.2379265968163683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796349974","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":[0.9985853,0.00012448385,0.0000114908225,0.00019953406,0.00006754949,0.00019660663,0.00047782288,0.00004059818,0.00029662778],"genre_scores_gemma":[0.99863976,0.00037263532,0.00048105814,0.00042265214,0.000015749521,0.000020948853,0.00004160527,0.0000035897003,0.0000019694605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990889,0.000029057095,0.00015067411,0.0003253927,0.000068251924,0.000337715],"domain_scores_gemma":[0.99962145,0.00005572287,0.00009165509,0.00007972594,0.000013711975,0.00013771212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090153684,0.00015465592,0.00018767794,0.00004380124,0.00040211267,0.000045358913,0.000082512845,0.00006502876,0.00026462454],"category_scores_gemma":[0.000024232892,0.00012094243,0.00005543334,0.00041986682,0.0024799882,0.00009786295,0.00012684624,0.000043795993,0.000008400799],"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":[0.000020285413,0.000039990227,0.99616045,0.000008622502,0.000019606421,5.4639116e-7,0.000101309284,5.459597e-8,0.00008608585,0.00007855469,0.000112814676,0.0033716583],"study_design_scores_gemma":[0.00033348607,0.0004268855,0.99540883,0.0000030781289,0.00003534387,0.0000069890707,0.0017302377,0.000050590552,0.000037509537,0.00012688445,0.0016888345,0.00015133493],"about_ca_topic_score_codex":0.00040935195,"about_ca_topic_score_gemma":0.045290615,"teacher_disagreement_score":0.044881262,"about_ca_system_score_codex":0.000022573653,"about_ca_system_score_gemma":0.0000024164638,"threshold_uncertainty_score":0.97213036},"labels":[],"label_agreement":null},{"id":"W2800508936","doi":"10.1111/geb.12733","title":"Entropy and the conceit of biodiversity management","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biodiversity; Biological dispersal; Ecology; Context (archaeology); Ecosystem; Analogy; Macroecology; Global biodiversity; Environmental resource management; Biology; Economics; Sociology; Epistemology","score_opus":0.002929578786521136,"score_gpt":0.18182681553223784,"score_spread":0.1788972367457167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800508936","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":[0.99399143,0.00008191759,0.00001104559,0.0009481272,0.000047749865,0.00016246345,0.000013860517,0.0000079199335,0.00473546],"genre_scores_gemma":[0.9993031,0.00010532463,0.0000866369,0.00047711947,0.0000073243314,0.0000044745984,0.0000011943655,3.155223e-7,0.000014485952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994096,0.00008524098,0.00010628766,0.00018449887,0.00006335091,0.000151031],"domain_scores_gemma":[0.99976087,0.00003893278,0.00005212092,0.00009583798,0.000009158133,0.000043103304],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00031631556,0.000061308514,0.00013723753,0.000015208845,0.00022788419,0.000008308032,0.0001032784,0.00006237435,0.00058186054],"category_scores_gemma":[0.000014546871,0.000036259684,0.00006143678,0.00028767108,0.00322368,0.000032470594,0.00027777939,0.000025534582,0.00003136542],"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":[0.00008542937,0.0000285729,0.99085325,0.0000053659387,0.00006620266,0.00000218107,0.000041658317,7.1824144e-7,0.0000028884276,0.0070652086,0.0006278609,0.0012206511],"study_design_scores_gemma":[0.0005623262,0.00012879093,0.9819529,7.42678e-7,0.00006942102,0.000002945587,0.00045588403,0.000020883634,0.000006534857,0.010301253,0.006452542,0.000045763216],"about_ca_topic_score_codex":0.0010426434,"about_ca_topic_score_gemma":0.0006748667,"teacher_disagreement_score":0.00890035,"about_ca_system_score_codex":0.000017628598,"about_ca_system_score_gemma":0.0000010184582,"threshold_uncertainty_score":0.99948895},"labels":[],"label_agreement":null},{"id":"W2801259439","doi":"10.1111/geb.12747","title":"Global importance of large‐diameter trees","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest ecology and management","field":"Environmental Science","cited_by":563,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Wilfrid Laurier University","funders":"National Natural Science Foundation of China; Natural Environment Research Council; Sight Research UK; Utah Agricultural Experiment Station; National Science Foundation","keywords":"Species richness; Diameter at breast height; Biomass (ecology); Hectare; Forestry; Biodiversity; Latitude; Ecology; Biology; Agroforestry; Geography","score_opus":0.0035470309476139956,"score_gpt":0.21787045489854626,"score_spread":0.21432342395093226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801259439","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":[0.9702931,0.00009452461,0.00013604388,0.0003123103,0.0002676966,0.00013487457,0.00011644746,0.000027281108,0.028617712],"genre_scores_gemma":[0.9974553,0.00003658814,0.0008634188,0.0015729592,0.000024107154,0.00000909509,0.00000960104,0.0000017780518,0.00002716057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910897,0.0000386381,0.00016814815,0.00028631548,0.000076031385,0.0003218675],"domain_scores_gemma":[0.99965954,0.000013141848,0.00008184771,0.00016650851,0.00000905007,0.00006989731],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018964654,0.00011094165,0.00015149514,0.000023188004,0.00012967442,0.0000050861004,0.00016464145,0.00013290928,0.0018191879],"category_scores_gemma":[0.000015860802,0.000094606265,0.000071277704,0.00042764816,0.0011769847,0.00007551466,0.0002616652,0.000031022137,0.00012541629],"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":[0.000039204526,0.00010811951,0.96913403,0.000002809878,0.00004326003,0.0000066307284,0.000010730918,0.0000012607567,0.000007119191,0.019447828,0.010574634,0.00062436203],"study_design_scores_gemma":[0.00034212356,0.00040132337,0.952991,0.0000014765563,0.000028755558,0.00000846509,0.000027299193,0.000014434761,0.000017392449,0.03206446,0.01400962,0.000093659364],"about_ca_topic_score_codex":0.0001854988,"about_ca_topic_score_gemma":0.025869591,"teacher_disagreement_score":0.02859055,"about_ca_system_score_codex":0.000028483208,"about_ca_system_score_gemma":0.000004702805,"threshold_uncertainty_score":0.9990933},"labels":[],"label_agreement":null},{"id":"W2803036728","doi":"10.1111/geb.12745","title":"Tree species with limited geographical ranges show extreme responses to ectomycorrhizas","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Wright State University","keywords":"Biology; Ecology; Range (aeronautics); Sympatry; Abiotic component; Allopatric speciation; Sympatric speciation; Biogeography; Biomass (ecology); Taxon","score_opus":0.015341252295733533,"score_gpt":0.20909750406007674,"score_spread":0.19375625176434322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803036728","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":[0.9857454,0.00037021903,0.000006743138,0.0036344011,0.00029819462,0.00025395042,0.0021948502,0.00012925363,0.0073670186],"genre_scores_gemma":[0.9963556,0.00056428154,0.0003950284,0.0018509764,0.00035045363,0.000025985373,0.00031971745,0.0000010406601,0.0001369113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986509,0.00012528092,0.00017640236,0.00045600676,0.00013933145,0.00045208706],"domain_scores_gemma":[0.99868405,0.00080241804,0.00005484505,0.000080888705,0.0001329888,0.00024483245],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015138795,0.00022374446,0.00024176636,0.00007966801,0.00044204763,0.00008324472,0.00021142974,0.00019164222,0.0029029122],"category_scores_gemma":[0.00010634006,0.0000873844,0.000115348514,0.0012832719,0.0001382892,0.00009178163,0.00008412071,0.00011672841,0.00023027827],"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":[0.0012738322,0.000094813004,0.97188324,0.0000022035485,0.000059082206,0.000019986934,0.00001717451,6.183395e-8,0.0077186357,0.0017580807,0.010135228,0.007037659],"study_design_scores_gemma":[0.000098456236,0.002144891,0.8588589,0.000020186197,0.000041086005,0.00015553903,0.00015370562,0.000005533398,0.0003991283,0.0007722082,0.13711913,0.00023122704],"about_ca_topic_score_codex":0.0005209391,"about_ca_topic_score_gemma":0.012247315,"teacher_disagreement_score":0.1269839,"about_ca_system_score_codex":0.00000749985,"about_ca_system_score_gemma":0.00000818296,"threshold_uncertainty_score":0.99800855},"labels":[],"label_agreement":null},{"id":"W2888006456","doi":"10.1111/geb.12758","title":"Global drivers of population density in terrestrial vertebrates","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":112,"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 Environment Research Council; Sight Research UK; European Research Council; McGill University","keywords":"Intraspecific competition; Ecology; Biology; Range (aeronautics); Population density; Population; Temperate climate; Density dependence; Productivity; Arid; Vertebrate; Taxon; Environmental change; Climate change","score_opus":0.004717565057987448,"score_gpt":0.21110259015313732,"score_spread":0.20638502509514986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888006456","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":[0.9980944,0.000009193148,0.000009077664,0.0002680991,0.00028930622,0.000098121636,0.00001427039,0.000012967004,0.0012046112],"genre_scores_gemma":[0.9993648,0.000008386877,0.00018780044,0.00039211274,0.000024273299,0.000002506998,0.000017503638,8.154811e-7,0.000001797103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993832,0.00006553912,0.00014523928,0.00019207712,0.000055695662,0.00015823035],"domain_scores_gemma":[0.9998052,0.000017790722,0.00006438739,0.000072497736,0.000004266769,0.000035825407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012907531,0.000071375754,0.00011316847,0.000026812246,0.000085438245,0.0000039265356,0.000075291835,0.00016012487,0.00014221676],"category_scores_gemma":[0.000029700366,0.000068559144,0.00003328275,0.00044089102,0.00053643325,0.00010025338,0.00007294805,0.00003107069,0.000028405115],"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":[0.000091091155,0.0000478283,0.99758697,7.9548636e-7,0.00000979315,0.000002332237,0.000013023089,0.0000036132708,0.000018604005,0.00037587647,0.00058926427,0.0012607935],"study_design_scores_gemma":[0.0004585059,0.00019186168,0.989682,0.000002123212,0.000011945078,0.0000053400136,0.000019283105,0.00012426784,0.000012968705,0.009294385,0.00013333006,0.000063954816],"about_ca_topic_score_codex":0.0032504809,"about_ca_topic_score_gemma":0.037593372,"teacher_disagreement_score":0.034342892,"about_ca_system_score_codex":0.000046047564,"about_ca_system_score_gemma":0.00000645008,"threshold_uncertainty_score":0.979968},"labels":[],"label_agreement":null},{"id":"W2890371766","doi":"10.1111/geb.12775","title":"Functional traits modulate the response of alien plants along abiotic and biotic gradients","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Seventh Framework Programme; Agence Nationale de la Recherche","keywords":"Propagule pressure; Abiotic component; Ecology; Biology; Alien; Introduced species; Plant community; Trait; Biotic component; Invasive species; Competition (biology); Community structure; Plant ecology; Community; Biological dispersal; Ecosystem; Species richness; Population","score_opus":0.006515791068281096,"score_gpt":0.2068393314127706,"score_spread":0.20032354034448951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890371766","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":[0.99837106,0.00012757741,0.0000122386045,0.0006646806,0.00019341016,0.000120597615,0.00006170291,0.000011559857,0.00043716485],"genre_scores_gemma":[0.99933946,0.00007329103,0.0000848634,0.00045797104,0.000012806566,0.0000039426386,0.00000467674,0.000001868524,0.000021109601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924415,0.000119039294,0.0001451812,0.00022338322,0.00006966781,0.00019857305],"domain_scores_gemma":[0.99966896,0.00013059398,0.000069506634,0.000072110895,0.000011588092,0.000047232796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032345264,0.00009678051,0.00012000654,0.000037650498,0.0003708245,0.000006021858,0.00008164758,0.00010071315,0.00008259359],"category_scores_gemma":[0.00003378842,0.00006729297,0.000035801735,0.000207852,0.0021255394,0.000052591913,0.00012536295,0.00005107104,0.000028849363],"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":[0.00025335178,0.00004740609,0.9977232,0.0000027936148,0.000069070826,0.0000023427053,0.00014694466,0.000009655318,0.00033995154,0.0005103548,0.000306905,0.0005879916],"study_design_scores_gemma":[0.0003474383,0.00037011818,0.99431366,0.0000029381001,0.00003032209,0.000037840204,0.00007456734,0.0002098567,0.000040476923,0.0043771225,0.00012384361,0.00007183758],"about_ca_topic_score_codex":0.00007204131,"about_ca_topic_score_gemma":0.0018465967,"teacher_disagreement_score":0.0038667677,"about_ca_system_score_codex":0.000013086556,"about_ca_system_score_gemma":0.000005266987,"threshold_uncertainty_score":0.78316385},"labels":[],"label_agreement":null},{"id":"W2891639061","doi":"10.1111/geb.12774","title":"Expanding, shifting and shrinking: The impact of global warming on species’ elevational distributions","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":342,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"National Science Foundation","keywords":"Ectotherm; Range (aeronautics); Ecology; Global warming; Climate change; Environmental science; Species distribution; Atmospheric sciences; Biology; Habitat; Physics","score_opus":0.015671791326038655,"score_gpt":0.27837721241578794,"score_spread":0.2627054210897493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891639061","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":[0.9805154,0.000052554173,0.00002938196,0.00037570996,0.0000943866,0.00009707373,0.0008823723,0.000024061914,0.017929027],"genre_scores_gemma":[0.9996587,0.0000428559,0.00002781697,0.0001655227,0.000039927316,0.0000051594343,0.000053739954,0.0000014472835,0.0000048199404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923843,0.00003448082,0.00014259366,0.00021071752,0.00011689494,0.0002568705],"domain_scores_gemma":[0.9996868,0.000041524134,0.00007878715,0.00010174031,0.000018100745,0.00007305184],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015992185,0.000113372516,0.000109131484,0.000013098703,0.00043128614,0.000023821645,0.000107862455,0.00007970374,0.0041378154],"category_scores_gemma":[0.000042416224,0.00007609845,0.000101435544,0.0004828871,0.001221397,0.00005897761,0.00016202782,0.00005371486,0.000038263643],"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":[0.00002864302,0.000055570075,0.9755322,0.0000012465033,0.000029932062,8.1944336e-7,0.000022397098,6.835962e-7,0.00013743874,0.021604622,0.0022260342,0.00036042245],"study_design_scores_gemma":[0.00022351317,0.00028661286,0.9952134,0.000004085799,0.00001543123,0.000016224923,0.00025856422,0.000016821934,0.00005805147,0.0022017304,0.0016244383,0.000081125014],"about_ca_topic_score_codex":0.0003269772,"about_ca_topic_score_gemma":0.0006489195,"teacher_disagreement_score":0.01968121,"about_ca_system_score_codex":0.00019628339,"about_ca_system_score_gemma":0.000008608423,"threshold_uncertainty_score":0.9967725},"labels":[],"label_agreement":null},{"id":"W2892189962","doi":"10.1111/geb.12781","title":"Similarity in spatial structure constrains ecosystem relationships: Building a macroscale understanding of lakes","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":34,"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 Ottawa; Université de Montréal; GDG Environnement; Cégep Marie-Victorin","funders":"Fonds de recherche du Québec – Nature et technologies; Knut och Alice Wallenbergs Stiftelse; U.S. Department of Agriculture; National Science Foundation","keywords":"Ecosystem; Ecology; Spatial ecology; Environmental science; Spatial heterogeneity; Geography; Land cover; Spatial variability; Spatial analysis; Physical geography; Land use; Remote sensing; Mathematics; Biology; Statistics","score_opus":0.01451065119114091,"score_gpt":0.2293743386727391,"score_spread":0.21486368748159818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892189962","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":[0.99738324,0.000030299492,0.00014382474,0.0001040986,0.0001853378,0.00013906887,0.00030037624,0.000017033915,0.0016967129],"genre_scores_gemma":[0.99962795,0.00001197174,0.00025529836,0.000061174265,0.000029608096,0.0000022079876,0.00000905137,0.0000023481578,3.8532136e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914336,0.00009220727,0.00021884056,0.0002334999,0.00008160468,0.00023047399],"domain_scores_gemma":[0.99969494,0.000048156282,0.00009457314,0.00009621537,0.000006720298,0.00005939425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002295518,0.00010220455,0.00017473049,0.000054796634,0.00020734148,0.000015617925,0.00010604016,0.0001811303,0.00028940226],"category_scores_gemma":[0.000011996578,0.000084236075,0.00004056147,0.0003845473,0.00018637168,0.00010679346,0.00008936699,0.00008440472,0.00000700843],"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":[0.000023548382,0.000022874443,0.99822456,0.000025146432,0.000013101417,0.000004299041,0.0000884018,0.000019842382,0.00024003097,0.0012291459,0.000027263353,0.00008179872],"study_design_scores_gemma":[0.00039324863,0.0001107202,0.9868981,0.00002698927,0.000017815451,0.000023491004,0.0003332441,0.000574538,0.0001627139,0.011193981,0.00015640844,0.00010873675],"about_ca_topic_score_codex":0.0008113129,"about_ca_topic_score_gemma":0.2061341,"teacher_disagreement_score":0.20532277,"about_ca_system_score_codex":0.0000626019,"about_ca_system_score_gemma":0.000007671179,"threshold_uncertainty_score":0.8083519},"labels":[],"label_agreement":null},{"id":"W2896785935","doi":"10.1111/geb.12822","title":"Phylogenetic homogenization of bee communities across ecoregions","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":34,"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 Manitoba","funders":"","keywords":"Ecoregion; Phylogenetic tree; Biodiversity; Beta diversity; Phylogenetic diversity; Ecology; Geography; Homogenization (climate); Biology; Taxon; Biodiversity hotspot; Global biodiversity","score_opus":0.02314521777871696,"score_gpt":0.22463303229929374,"score_spread":0.2014878145205768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896785935","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":[0.9976375,0.0005306824,4.4709088e-7,0.00024072314,0.000041943513,0.00006161297,0.00048460878,0.00002339485,0.0009790601],"genre_scores_gemma":[0.99918884,0.0004642794,0.000029920047,0.00018858175,0.00008297865,0.000003889861,0.000034420595,2.005544e-7,0.0000069015227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995236,0.00003599164,0.000107885644,0.00009880774,0.000042807096,0.00019091222],"domain_scores_gemma":[0.9997756,0.000051454197,0.000053295087,0.000013929247,0.00007185735,0.000033874963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006597704,0.000080048136,0.0001281378,0.000006916123,0.00042518714,0.000011913072,0.00011487532,0.00008324934,0.00006545973],"category_scores_gemma":[0.0000058517853,0.000033133852,0.000054977132,0.00031825333,0.00069280376,0.000025537698,0.00010267412,0.000028936842,0.0000090543845],"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":[0.000022927772,0.000041522162,0.98600835,0.0000023750667,0.000030033325,5.670423e-7,0.000066079556,2.458152e-8,0.0058358447,0.0005049909,0.00031496343,0.0071723526],"study_design_scores_gemma":[0.00007563783,0.0005397925,0.9934868,0.000004616074,0.000013058822,0.000008012563,0.00056236784,0.0000032966086,0.0003539759,0.00097038824,0.0039060297,0.0000760214],"about_ca_topic_score_codex":0.0005270137,"about_ca_topic_score_gemma":0.0375318,"teacher_disagreement_score":0.037004787,"about_ca_system_score_codex":0.0000025835639,"about_ca_system_score_gemma":0.0000017619093,"threshold_uncertainty_score":0.9800307},"labels":[],"label_agreement":null},{"id":"W2898229024","doi":"10.1111/geb.12821","title":"Tundra Trait Team: A database of plant traits spanning the tundra biome","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Memorial University of Newfoundland; University of Waterloo; Dalhousie University; Université du Québec à Trois-Rivières; University of Victoria; University of Saskatchewan; University of British Columbia; Surrey Memorial Hospital; Saint Mary's University; Center for Northern Studies; Queen's University","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Universität Zürich; Fonds Wetenschappelijk Onderzoek; U.S. Fish and Wildlife Service; Aarhus Universitet; U.S. Department of Energy; Carlsbergfondet; Norges Forskningsråd; Academy of Finland; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Sight Research UK; ArcticNet; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Vetenskapsrådet; Villum Fonden; Danmarks Frie Forskningsfond; National Science Foundation","keywords":"Tundra; Biome; Trait; Ecology; Geography; Biology; Ecosystem; Computer science","score_opus":0.021638113286001636,"score_gpt":0.23423452097048916,"score_spread":0.21259640768448754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898229024","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":[0.9609663,0.001203714,0.0000036748386,0.00059144606,0.00037919023,0.00015682065,0.032263067,0.000022956157,0.004412871],"genre_scores_gemma":[0.99683666,0.00031835886,0.000078973935,0.0009820965,0.00017308944,0.0000014992183,0.0015997066,0.0000016050639,0.000007992624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901426,0.00006676466,0.00019724453,0.00025040045,0.000110276764,0.00036105665],"domain_scores_gemma":[0.9995314,0.000111955604,0.00008331331,0.00013435293,0.00003610895,0.00010285992],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025341014,0.0001430926,0.00019506499,0.000095182484,0.00031749872,0.000031738222,0.00022165586,0.00011318029,0.0018297783],"category_scores_gemma":[0.000014950747,0.000091273,0.000080311416,0.0005127582,0.001023573,0.00011338068,0.00003236505,0.00008309148,0.00004684244],"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":[0.000111281326,0.000026172616,0.99146545,0.000021669244,0.000054029653,0.000011527917,0.00028966865,4.6741636e-7,0.00023658643,0.00022931657,0.0041944897,0.0033593616],"study_design_scores_gemma":[0.00029115222,0.0004482902,0.9785755,0.00001755909,0.000041861273,0.00011012819,0.00051691383,0.000120446195,0.000044633678,0.0006299222,0.019074947,0.000128604],"about_ca_topic_score_codex":0.0040422715,"about_ca_topic_score_gemma":0.05104754,"teacher_disagreement_score":0.04700527,"about_ca_system_score_codex":0.000001465748,"about_ca_system_score_gemma":0.00002427165,"threshold_uncertainty_score":0.9990827},"labels":[],"label_agreement":null},{"id":"W2898526698","doi":"10.1111/geb.12829","title":"Local adaptation of trees at the range margins impacts range shifts in the face of climate change","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Ministère des Ressources naturelles et des Forêts; Université du Québec en Outaouais; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Range (aeronautics); Local adaptation; Ecology; Climate change; Niche; Adaptation (eye); Biology; Yellow birch; Species distribution; Geography; Habitat; Maple; Demography","score_opus":0.019249763749175006,"score_gpt":0.24524834022316774,"score_spread":0.22599857647399274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898526698","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":[0.9924261,0.00043007656,0.000009861101,0.001195028,0.000082645165,0.0002766208,0.00057816564,0.000006989726,0.0049945205],"genre_scores_gemma":[0.99844563,0.0008685487,0.0000050618787,0.00060880167,0.000013694988,0.000022747903,0.000031762283,0.0000019705167,0.0000018096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991623,0.00011234456,0.00016878903,0.00015790763,0.00014152912,0.00025713464],"domain_scores_gemma":[0.99964505,0.000052613614,0.00010797754,0.00014703369,0.000011483318,0.000035812925],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034279606,0.00009931488,0.00013689706,0.00002890637,0.00013509193,0.000006551469,0.0001817319,0.0000944672,0.0023917505],"category_scores_gemma":[0.000012377726,0.000057621444,0.00007287503,0.00053208205,0.0013978702,0.000071191884,0.00013654136,0.000045611356,0.00005853211],"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":[0.00013452729,0.00009552525,0.9945976,0.000008024514,0.000009425615,0.0000017750682,0.0009888443,0.0000014668778,0.00006293624,0.0007121111,0.0005797524,0.0028080125],"study_design_scores_gemma":[0.00048084246,0.0002682912,0.99173623,0.000005652672,0.000019344754,0.0000050054155,0.004769446,0.00004834991,0.000044848428,0.00010749647,0.002453109,0.00006135822],"about_ca_topic_score_codex":0.0014502,"about_ca_topic_score_gemma":0.09839272,"teacher_disagreement_score":0.096942514,"about_ca_system_score_codex":0.000061971004,"about_ca_system_score_gemma":0.000002659276,"threshold_uncertainty_score":0.9985202},"labels":[],"label_agreement":null},{"id":"W2899052645","doi":"10.1111/geb.12764","title":"Climate and soils together regulate photosynthetic carbon isotope discrimination within C<sub>3</sub> plants worldwide","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Australian Research Council; Natural Environment Research Council; University of New South Wales; Sight Research UK","keywords":"Photosynthesis; Soil water; Isotopes of carbon; Soil carbon; Environmental science; Evapotranspiration; Spatial variability; Atmospheric sciences; Ecology; Agronomy; Total organic carbon; Biology; Botany; Soil science; Geology","score_opus":0.003994627775082184,"score_gpt":0.19035068613359687,"score_spread":0.18635605835851468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899052645","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":[0.9937727,0.00006369327,0.000006260277,0.00016400035,0.00018981242,0.00017848784,0.00011322547,0.000038996714,0.005472811],"genre_scores_gemma":[0.99927086,0.00027266427,0.00014115685,0.00023906853,0.000018785679,0.0000117829395,0.000028079694,0.000005785482,0.0000118317585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989913,0.00006389817,0.00017962424,0.00034657097,0.00010203624,0.00031657168],"domain_scores_gemma":[0.99966305,0.000018929219,0.000084692096,0.00013194786,0.000007008996,0.000094381954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021265776,0.00015641964,0.0001461772,0.00006013871,0.00020922523,0.000032633696,0.000088289904,0.00015084268,0.000029187302],"category_scores_gemma":[0.00000593288,0.00012984249,0.00003655525,0.00021110753,0.0006439978,0.00009403811,0.00014972303,0.00007429107,0.000026183601],"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":[0.00008219122,0.000053542477,0.97870415,0.000007138536,0.00002897396,0.000012087347,0.00017611738,0.000027030792,0.012966215,0.0005201119,0.000036971567,0.007385487],"study_design_scores_gemma":[0.00039424593,0.00020963729,0.97924984,0.000023756982,0.00006032333,0.00010748154,0.000047500216,0.0068133306,0.0060583916,0.0064890897,0.00027956217,0.00026685587],"about_ca_topic_score_codex":0.000197975,"about_ca_topic_score_gemma":0.003942494,"teacher_disagreement_score":0.007118631,"about_ca_system_score_codex":0.000027195083,"about_ca_system_score_gemma":0.000003748166,"threshold_uncertainty_score":0.5294823},"labels":[],"label_agreement":null},{"id":"W2900609968","doi":"10.1111/geb.12841","title":"Phylogenetically weighted regression: A method for modelling non‐stationarity on evolutionary trees","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","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":"McGill University; University of British Columbia","funders":"Division of Environmental Biology","keywords":"Phylogenetic tree; Biology; Clade; Phylogenetic comparative methods; Evergreen; Allometry; Phylogenetics; Ecology; Range (aeronautics); Regression; Deciduous; Evolutionary biology; Statistics; Mathematics","score_opus":0.017297517030275697,"score_gpt":0.272118131413163,"score_spread":0.2548206143828873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900609968","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":[0.90987927,0.00447489,0.04528035,0.0048880866,0.0015270256,0.00079690485,0.0017343744,0.00013895326,0.03128013],"genre_scores_gemma":[0.92588466,0.00021006445,0.07227097,0.0013046305,0.00017096072,0.000008573862,0.000120436634,0.0000013329847,0.000028368431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894357,0.000111758905,0.00017843727,0.00036261676,0.00009236222,0.000311256],"domain_scores_gemma":[0.9993229,0.0002819571,0.00006565982,0.00010009004,0.00012714672,0.00010224089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021558686,0.00015086785,0.00019809793,0.00009311734,0.00065547583,0.000011539006,0.00010404488,0.00019322158,0.00017834624],"category_scores_gemma":[0.0000241585,0.00011183955,0.000093604904,0.0002791399,0.0005778873,0.00004488544,0.000011902263,0.00007166493,0.00003638122],"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":[0.00035634456,0.00003883091,0.9856487,0.000006445097,0.00008318134,0.000002494793,0.00003266178,0.000118875345,0.000002903932,0.0029528385,0.003125123,0.007631636],"study_design_scores_gemma":[0.0004533623,0.0008521171,0.9169784,0.000007929454,0.00003662264,0.000015721582,0.000055646775,0.047009118,0.000005442729,0.027724098,0.0067277905,0.00013375148],"about_ca_topic_score_codex":0.00024466577,"about_ca_topic_score_gemma":0.013521843,"teacher_disagreement_score":0.068670265,"about_ca_system_score_codex":0.000003334408,"about_ca_system_score_gemma":0.00003123398,"threshold_uncertainty_score":0.7545506},"labels":[],"label_agreement":null},{"id":"W2901387751","doi":"10.1111/geb.12783","title":"Traditional plant functional groups explain variation in economic but not size‐related traits across the tundra biome","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":77,"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 Waterloo; Algoma University; Université du Québec à Trois-Rivières; University of Saskatchewan; Queen's University; University of British Columbia; Memorial University of Newfoundland","funders":"H2020 European Research Council; Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation; National Aeronautics and Space Administration; Universität Zürich; National Science Foundation; Danmarks Frie Forskningsfond; U.S. Department of Energy; Carlsbergfondet; Academy of Finland; Sight Research UK; ArcticNet; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Vetenskapsrådet","keywords":"Tundra; Biome; Ecology; Variation (astronomy); Bergmann's rule; Geography; Biology; Ecosystem","score_opus":0.02341471185394096,"score_gpt":0.21427365581876853,"score_spread":0.19085894396482758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901387751","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":[0.97411376,0.00013106059,0.0000020425741,0.0013641325,0.0009732891,0.0001333767,0.022608636,0.000020793837,0.0006529138],"genre_scores_gemma":[0.99620175,0.00012368611,0.000012845205,0.0011865713,0.00027516994,0.0000044828334,0.0021861312,0.0000014756945,0.000007889974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989908,0.00008298708,0.00022308217,0.00028084297,0.00008243323,0.0003399001],"domain_scores_gemma":[0.999504,0.00026970461,0.00006922014,0.00006716894,0.0000159427,0.00007390545],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034373716,0.00013291242,0.00014228509,0.00006265634,0.0003947734,0.000054708376,0.000115278955,0.00018412515,0.003995313],"category_scores_gemma":[0.000009565442,0.00009751431,0.00006717812,0.00026245357,0.0004895662,0.00016124823,0.000013650165,0.00010096534,0.00020387415],"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":[0.00024908694,0.000034848574,0.99571496,0.0000043960354,0.00004952849,0.000011346056,0.0005433273,0.000023475894,0.00012125547,0.0013665813,0.00085474335,0.0010264437],"study_design_scores_gemma":[0.000597585,0.00023259915,0.9915373,0.0000037805682,0.000011531761,0.00012550503,0.00030085695,0.0008040269,0.000008108631,0.0050614537,0.0011878894,0.00012940803],"about_ca_topic_score_codex":0.0024727865,"about_ca_topic_score_gemma":0.12382786,"teacher_disagreement_score":0.12135507,"about_ca_system_score_codex":0.000010168442,"about_ca_system_score_gemma":0.000029080906,"threshold_uncertainty_score":0.99691516},"labels":[],"label_agreement":null},{"id":"W2901636177","doi":"10.1111/geb.12827","title":"Testing multiple hypotheses for the high endemic plant diversity of the Tibetan Plateau","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":77,"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 Alberta","funders":"China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Plateau (mathematics); Ecology; Species richness; Geography; Endemism; Climate change; Biogeography; Biodiversity; Phylogenetic diversity; Phylogenetic tree; Biology","score_opus":0.015254134580938728,"score_gpt":0.20718524517025316,"score_spread":0.19193111058931445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901636177","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":[0.99790573,0.00006094485,0.00003700448,0.00040145486,0.00027648298,0.00021488214,0.00018911986,0.000012399563,0.0009019836],"genre_scores_gemma":[0.99912053,0.00002152604,0.00038482135,0.0004283742,0.000019690198,0.000009669234,0.0000022477325,0.0000013245461,0.0000117992595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999489,0.000037975966,0.00009806703,0.0001514213,0.000052131465,0.00017138108],"domain_scores_gemma":[0.99919164,0.000589291,0.00008703869,0.00009665581,0.000015942349,0.0000194251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018989015,0.00007318785,0.00009389967,0.000011247256,0.0011319213,0.0000034742573,0.00020317321,0.00007857763,0.000034523022],"category_scores_gemma":[0.00014178945,0.00004077096,0.000052597567,0.00019994465,0.0015245959,0.000031725514,0.00046683475,0.00004834066,0.0000068313316],"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":[0.000030967167,0.000024167044,0.9979547,0.0000025688705,0.000053635104,2.2970214e-7,0.00007788375,0.000019188441,0.00008763621,0.0007535611,0.00038749594,0.0006079373],"study_design_scores_gemma":[0.00023751479,0.00013975435,0.9906128,0.0000022656468,0.000047905352,0.000005084513,0.000089322144,0.00050832744,0.00005735282,0.007846782,0.00040192378,0.000050985276],"about_ca_topic_score_codex":0.00054733496,"about_ca_topic_score_gemma":0.010260139,"teacher_disagreement_score":0.009712803,"about_ca_system_score_codex":0.000014962631,"about_ca_system_score_gemma":0.0000045226775,"threshold_uncertainty_score":0.8705938},"labels":[],"label_agreement":null},{"id":"W2902892305","doi":"10.1111/geb.12834","title":"The origins and maintenance of global species endemism","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Endemism; Ecology; Species richness; Optimal distinctiveness theory; Range (aeronautics); Taxon; Climate change; Biology; Geography","score_opus":0.008532183441961112,"score_gpt":0.22639551785186093,"score_spread":0.21786333440989983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902892305","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":[0.94136125,0.00024641017,0.000006822105,0.0011047163,0.00019812892,0.00006973006,0.0002977872,0.000014979163,0.056700174],"genre_scores_gemma":[0.99874234,0.00073611736,0.0000291566,0.00042238817,0.00002173292,0.0000035889557,0.000004929826,9.521325e-7,0.000038774608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993737,0.000024238037,0.000109375236,0.00017473675,0.000079197016,0.00023878981],"domain_scores_gemma":[0.99974036,0.000022542383,0.000053737956,0.000103249244,0.0000140706325,0.00006604938],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012327392,0.000082169565,0.00009191453,0.0000047716317,0.00026589647,0.000016856258,0.000118878124,0.00007331346,0.0019227094],"category_scores_gemma":[0.00002117155,0.000053812066,0.000038857837,0.00028546996,0.0025870805,0.00003854189,0.00016045773,0.000031350886,0.000060007802],"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":[0.000025010813,0.00001927531,0.92697334,0.0000014292833,0.0000123147065,0.0000011221773,0.000009625099,1.6521932e-8,0.000094783405,0.06356416,0.008080435,0.0012184652],"study_design_scores_gemma":[0.00016644032,0.00011021791,0.8276035,0.0000012905499,0.000008552779,0.000018047718,0.00031096814,0.0000019776448,0.00005200455,0.0030773839,0.16859725,0.000052377767],"about_ca_topic_score_codex":0.00024859892,"about_ca_topic_score_gemma":0.0047288807,"teacher_disagreement_score":0.16051681,"about_ca_system_score_codex":0.000090015055,"about_ca_system_score_gemma":0.000004413192,"threshold_uncertainty_score":0.99898964},"labels":[],"label_agreement":null},{"id":"W2903245796","doi":"10.1111/geb.12839","title":"Habitat fragmentation: A long and tangled tale","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":201,"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":"","keywords":"Fragmentation (computing); Habitat fragmentation; Habitat; Wildlife; Ecology; Geography; Habitat destruction; Wildlife corridor; Wildlife conservation; Forest fragmentation; Biology","score_opus":0.003777629077658733,"score_gpt":0.21867952928285,"score_spread":0.21490190020519126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903245796","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":[0.9893768,0.00023040255,0.000077973134,0.00071886077,0.00018346531,0.000113514034,0.000015948803,0.000027183762,0.009255891],"genre_scores_gemma":[0.99771065,0.00011765951,0.0008863886,0.0011871475,0.000024466306,0.000014704106,0.0000072093035,0.0000019006098,0.000049890987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938554,0.000037153666,0.00010180561,0.00023932048,0.000047622925,0.00018858258],"domain_scores_gemma":[0.9997917,0.000035550434,0.000041920634,0.00006187392,0.000010874589,0.000058096244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102957696,0.000090543115,0.00010156292,0.000026177024,0.00038624584,0.00001229404,0.000053105487,0.00009613764,0.00035337443],"category_scores_gemma":[0.0000145790455,0.00008059683,0.00002609081,0.0002237298,0.0014465591,0.000091924885,0.00013676728,0.000041670803,0.000110296496],"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":[0.00001805523,0.00003160754,0.99662596,0.0000025763381,0.000032093714,0.000005342179,0.000075581214,9.957969e-7,0.00002596289,0.0009171381,0.0008177894,0.0014468919],"study_design_scores_gemma":[0.00034065772,0.0002635705,0.99045867,0.0000016191888,0.000022875385,0.000027844731,0.00008686072,0.00008031126,0.000010672862,0.00794276,0.0006727494,0.00009142869],"about_ca_topic_score_codex":0.00004339088,"about_ca_topic_score_gemma":0.008947712,"teacher_disagreement_score":0.009206,"about_ca_system_score_codex":0.0000163951,"about_ca_system_score_gemma":0.000002804253,"threshold_uncertainty_score":0.5329907},"labels":[],"label_agreement":null},{"id":"W2907274641","doi":"10.1111/geb.12842","title":"Where Newton might have taken ecology","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":45,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Variance (accounting); Reductionism; Dilemma; Epistemology; Biology; Economics","score_opus":0.004363332680438652,"score_gpt":0.216796375691702,"score_spread":0.21243304301126334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907274641","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":[0.95643675,0.0002698632,0.000024924264,0.003094906,0.0005381834,0.00017107703,0.000035418852,0.000054754466,0.03937409],"genre_scores_gemma":[0.9965856,0.0002955941,0.0004960323,0.0020925072,0.000079592915,0.000023030236,0.000011378435,0.0000042187303,0.0004120285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988471,0.0000890206,0.00018119162,0.000403236,0.00006659392,0.00041284176],"domain_scores_gemma":[0.99959874,0.00005958555,0.00008217601,0.00014117241,0.000020888048,0.00009742971],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001703423,0.00016274696,0.00019732615,0.00004608028,0.00052767503,0.000012347325,0.00016388136,0.00027988438,0.0017820573],"category_scores_gemma":[0.000024391138,0.00014223074,0.00007137484,0.00027027153,0.0020015296,0.00009517338,0.00024720049,0.000099465426,0.00065693643],"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":[0.000033244964,0.00006942992,0.9811968,0.0000035149374,0.00006127838,0.000009842342,0.00006876179,0.0000030440583,0.000032575474,0.0021009056,0.015623994,0.0007965862],"study_design_scores_gemma":[0.00038825435,0.00046900773,0.95782954,0.0000019929914,0.000035238547,0.000027439062,0.00008628953,0.00010907124,0.000015299513,0.0097306585,0.031150742,0.0001564562],"about_ca_topic_score_codex":0.00018055561,"about_ca_topic_score_gemma":0.062046364,"teacher_disagreement_score":0.06186581,"about_ca_system_score_codex":0.000043339354,"about_ca_system_score_gemma":0.000008629948,"threshold_uncertainty_score":0.9991304},"labels":[],"label_agreement":null},{"id":"W2908240215","doi":"10.1111/geb.12832","title":"Metabolic impacts of climate change on marine ecosystems: Implications for fish communities and fisheries","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Nuclear Safety and Security Commission; National Aeronautics and Space Administration; California Ocean Protection Council; Marine Environmental Observation Prediction and Response Network; University of California, Los Angeles","keywords":"Climate change; Ectotherm; Ecosystem; Biomass (ecology); Marine ecosystem; Environmental science; Phytoplankton; Ecology; Fishing; Trophic level; Primary production; Ecosystem model; Global warming; Range (aeronautics); Global change; Primary producers; Fishery; Biology; Nutrient","score_opus":0.02106687018644036,"score_gpt":0.2660647153878681,"score_spread":0.24499784520142773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908240215","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":[0.95624435,0.000028046452,0.0000019515112,0.0016225443,0.000056445653,0.00035248982,0.0007029688,0.000016373773,0.04097486],"genre_scores_gemma":[0.9967323,0.0020453166,0.00017171605,0.00083092536,0.000040153536,0.00010882601,0.000058564707,0.0000037893187,0.000008400441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993547,0.000048337813,0.00013572733,0.00014135556,0.00004905281,0.00027080614],"domain_scores_gemma":[0.9996035,0.000067754074,0.000057603032,0.00017186625,0.00002255032,0.000076687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017387954,0.000097154414,0.00017326817,0.000045071873,0.00026599976,0.000021934562,0.00012469417,0.00008210462,0.0005474917],"category_scores_gemma":[0.000016010426,0.00008110569,0.00004263871,0.00022738546,0.0008760839,0.00010640861,0.00037050142,0.00004408864,0.0000036540594],"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":[0.000075082986,0.000045932877,0.97277075,0.000024697574,0.00002460119,1.5476905e-7,0.00007298916,7.4625826e-9,0.0000175012,0.002498311,0.0008815044,0.023588495],"study_design_scores_gemma":[0.0002551396,0.0006490782,0.9376388,0.0000027879128,0.000016211456,0.0000071931213,0.00013198689,0.000012740107,0.000034841785,0.0018941878,0.059281155,0.00007586689],"about_ca_topic_score_codex":0.0029966044,"about_ca_topic_score_gemma":0.041402105,"teacher_disagreement_score":0.05839965,"about_ca_system_score_codex":0.000008589917,"about_ca_system_score_gemma":0.0000033111526,"threshold_uncertainty_score":0.97608984},"labels":[],"label_agreement":null},{"id":"W2908758646","doi":"10.1111/geb.12875","title":"Large birds travel farther in homogeneous environments","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nunavut Arctic College; University of Guelph; University of Alberta","funders":"BC Cancer Agency; Australian Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Robert Bosch Stiftung; Irish Research Council; MAVA Foundation; Energinet.dk; National Science Foundation; Department of Energy and Climate Change; Fundação para a Ciência e a Tecnologia; U.S. Department of Energy","keywords":"Geography; Ecology; Spatial ecology; Homogeneous; Population; Spatial distribution; Physical geography; Biology; Demography","score_opus":0.0033205051297045397,"score_gpt":0.19683468334996052,"score_spread":0.193514178220256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908758646","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":[0.99518716,0.000089255045,0.000007744882,0.00012484967,0.00019493506,0.00024645793,0.000061642495,0.000014880213,0.004073092],"genre_scores_gemma":[0.99870145,0.000060542436,0.00008155469,0.00085786637,0.00000776938,0.000017172502,0.00001142518,0.0000050712815,0.0002571721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889046,0.000060945546,0.00015417904,0.0003754702,0.00007978711,0.00043915873],"domain_scores_gemma":[0.99970657,0.000015536254,0.000043325977,0.00015340978,9.737815e-7,0.000080184465],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014776787,0.00014426981,0.00017473122,0.000046669407,0.0000847242,0.0000060718385,0.00014422504,0.0002578283,0.0043968717],"category_scores_gemma":[0.0000030193412,0.00012992954,0.000064474305,0.00025620437,0.00028630192,0.00007321636,0.00015399746,0.00011117675,0.0016934053],"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":[0.000026717826,0.0002583334,0.99752676,0.0000013975147,0.000010684085,0.00003324141,0.00003603487,0.0000040023715,0.0006844193,0.0000732943,0.000115961564,0.0012291304],"study_design_scores_gemma":[0.00074421504,0.00020723732,0.9930607,0.0000015636938,0.000014400163,0.00003300022,0.00008587567,0.0000067656956,0.000091622394,0.0005767774,0.0050219065,0.00015591396],"about_ca_topic_score_codex":0.00005023969,"about_ca_topic_score_gemma":0.0018068503,"teacher_disagreement_score":0.004905945,"about_ca_system_score_codex":0.00004579445,"about_ca_system_score_gemma":0.000004192672,"threshold_uncertainty_score":0.9990839},"labels":[],"label_agreement":null},{"id":"W2911344628","doi":"10.1111/geb.12869","title":"Global trade‐offs of functional redundancy and functional dispersion for birds and mammals","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":160,"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":"Natural Environment Research Council; University of Southampton","keywords":"Species richness; Biology; Taxon; Ecology; Mammal; Null model; Functional diversity; Trait; Redundancy (engineering); Biodiversity; Computer science","score_opus":0.005647671475280742,"score_gpt":0.20555751755490806,"score_spread":0.1999098460796273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911344628","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":[0.99599546,0.0006981312,0.0001356055,0.0010044693,0.0003252095,0.00023900853,0.00019830377,0.000014086529,0.001389708],"genre_scores_gemma":[0.99889046,0.00030139647,0.00036854963,0.00033518684,0.000016622336,0.000016020216,0.000028915862,0.000002146424,0.000040729094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926436,0.000029234545,0.00015060132,0.00030071632,0.000071413284,0.00018370294],"domain_scores_gemma":[0.9997185,0.00008266647,0.00007095577,0.000057666068,0.000010280762,0.00005994921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014426539,0.00011221076,0.00016992967,0.000029565666,0.00020232037,0.0000070966316,0.00003429328,0.00014899609,0.00016414771],"category_scores_gemma":[0.000015759872,0.000098084936,0.00005658949,0.00018181058,0.0006628142,0.00009186831,0.000099055695,0.00003823979,0.0000073150436],"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":[0.00015146461,0.000055309632,0.9897213,0.000019954245,0.00006334928,4.563224e-7,0.000012555557,0.00003061617,0.00012991423,0.0075561726,0.0009832621,0.0012756421],"study_design_scores_gemma":[0.0008056745,0.00035256727,0.9847098,0.0000036727765,0.00004215583,0.000027452787,0.00006577537,0.0002644933,0.000004648262,0.012180271,0.0014435344,0.00009992934],"about_ca_topic_score_codex":0.00003236057,"about_ca_topic_score_gemma":0.000712879,"teacher_disagreement_score":0.005011478,"about_ca_system_score_codex":0.000023206569,"about_ca_system_score_gemma":0.000007938195,"threshold_uncertainty_score":0.39997876},"labels":[],"label_agreement":null},{"id":"W2911356651","doi":"10.1111/geb.12894","title":"Contrasting latitudinal gradients of body size in helminth parasites and their hosts","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"Jane ja Aatos Erkon Säätiö; National Science Foundation","keywords":"Ectotherm; Bergmann's rule; Helminths; Biology; Seasonality; Ecology; Host (biology); Latitude; Zoology; Helminth infections; Geography","score_opus":0.004093412521073624,"score_gpt":0.2507716277195374,"score_spread":0.2466782151984638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911356651","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":[0.99576896,0.0001797463,0.0000020057937,0.00009666182,0.00012506825,0.00012850559,0.00005680259,0.000008135624,0.0036340992],"genre_scores_gemma":[0.9996553,0.0000781445,0.00008661744,0.00014529689,0.0000055387945,0.0000046838327,0.000005285764,0.0000013434418,0.000017780862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937886,0.00004864052,0.00013673851,0.0002147238,0.000028992223,0.0001920178],"domain_scores_gemma":[0.9996841,0.00013632064,0.00006453483,0.000065028675,0.0000048213606,0.000045187742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011192795,0.000095519965,0.00016768393,0.000033795015,0.00006246295,0.000004754005,0.000063075844,0.000105297746,0.00023521528],"category_scores_gemma":[0.000029905452,0.000074922275,0.00003573607,0.00018649451,0.00036642252,0.000077467055,0.000073369556,0.00007403061,0.000027492742],"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":[0.000046193676,0.00007316987,0.99549663,0.0000035175067,0.000027327455,0.0000022282086,0.000044181357,0.0000017450374,0.0030259,0.0002861721,0.000024994773,0.00096793345],"study_design_scores_gemma":[0.0003702542,0.00021423012,0.997669,0.000009013525,0.0000084333205,0.000024935222,0.00006900489,0.000033549848,0.00019396092,0.00099685,0.00033366232,0.00007709446],"about_ca_topic_score_codex":0.00031193995,"about_ca_topic_score_gemma":0.0010519521,"teacher_disagreement_score":0.0038863337,"about_ca_system_score_codex":0.000013906166,"about_ca_system_score_gemma":0.0000031390448,"threshold_uncertainty_score":0.30552417},"labels":[],"label_agreement":null},{"id":"W2911551514","doi":"10.1111/geb.12884","title":"Responses of nitrogen concentrations and pools to multiple environmental change drivers: A meta‐analysis across terrestrial ecosystems","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China; Villum Fonden","keywords":"Ecology; Ecosystem; Terrestrial ecosystem; Environmental change; Environmental science; Geography; Climate change; Biology","score_opus":0.01909676272667183,"score_gpt":0.23278498350709717,"score_spread":0.21368822078042535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911551514","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":[0.99458194,0.0011495436,0.000004471701,0.00014440167,0.00008123186,0.00029046135,0.003662616,0.000010207394,0.00007512474],"genre_scores_gemma":[0.99926424,0.00009978027,0.00025813634,0.00015979525,0.00002876245,0.000005427326,0.00017350385,8.2426175e-7,0.00000955788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991951,0.00007160588,0.00016591375,0.00026285456,0.000079748315,0.00022477315],"domain_scores_gemma":[0.9995535,0.00012773002,0.00007955811,0.000107581305,0.0000055224573,0.00012611125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012436212,0.000116268035,0.00034204317,0.000013034517,0.00011458626,0.000023839175,0.00008679976,0.00010195672,0.000659314],"category_scores_gemma":[0.000010113225,0.00009451349,0.00019605407,0.0003060555,0.00017012657,0.00009143031,0.000025877569,0.000039408504,0.000015871416],"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":[0.00014295755,0.000018283876,0.9952651,0.0000057198617,0.0039631324,0.0000033762346,0.00009343431,0.000026997262,0.00029617402,0.0000026927635,0.00001847036,0.00016361885],"study_design_scores_gemma":[0.000462415,0.00021725964,0.9941806,0.00000149131,0.0028846299,0.00000899986,0.000511884,0.00022849944,0.00030622235,0.00004186721,0.0010314749,0.00012461438],"about_ca_topic_score_codex":0.0013047734,"about_ca_topic_score_gemma":0.0041899057,"teacher_disagreement_score":0.004682271,"about_ca_system_score_codex":0.0000022089976,"about_ca_system_score_gemma":0.0000088234965,"threshold_uncertainty_score":0.7219026},"labels":[],"label_agreement":null},{"id":"W2911713957","doi":"10.1111/geb.12870","title":"Climate‐driven convergent evolution of plumage colour in a cosmopolitan bird","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":52,"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":"Akademie der Naturwissenschaften; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Plumage; Tyto; Barn-owl; Ecology; Biology; Range (aeronautics); Convergent evolution; Adaptation (eye); Habitat; Zoology; Geography; Predation; Phylogenetics","score_opus":0.005836489736025234,"score_gpt":0.20545791691747564,"score_spread":0.1996214271814504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911713957","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":[0.99852914,0.0002934642,9.0877926e-8,0.00023313603,0.0002355391,0.00023568039,0.00010154634,0.00003398361,0.0003374323],"genre_scores_gemma":[0.99972653,0.00016177418,0.000016042317,0.000040099978,0.000025190233,0.0000065053164,0.000016501413,3.9515075e-7,0.0000069705025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921376,0.000054734614,0.00017647364,0.00026041933,0.000065921005,0.00022872275],"domain_scores_gemma":[0.9997875,0.000018895484,0.00007265029,0.000037409718,0.00003762941,0.00004592027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001373414,0.000086878754,0.00016959838,0.000024732833,0.000058636095,0.000005520606,0.0000771287,0.00014834528,0.00014508016],"category_scores_gemma":[0.000006067298,0.000038086393,0.000077775025,0.00043857304,0.00014498216,0.00005361058,0.00005525262,0.0000577334,0.000029528546],"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":[0.00008097044,0.000115583396,0.9656689,0.000007588697,0.000006408628,0.0000017250504,0.00000668052,4.7054735e-7,0.031136116,0.001990486,0.000056857072,0.00092820637],"study_design_scores_gemma":[0.00021205877,0.00065003656,0.9974973,0.000007767328,0.000011889228,0.000009198437,0.00031915473,0.000007550926,0.00022418695,0.0007048651,0.00027100582,0.00008498428],"about_ca_topic_score_codex":0.00082602614,"about_ca_topic_score_gemma":0.0024476019,"teacher_disagreement_score":0.031828396,"about_ca_system_score_codex":0.00003389396,"about_ca_system_score_gemma":0.000005326293,"threshold_uncertainty_score":0.1588526},"labels":[],"label_agreement":null},{"id":"W2913436775","doi":"10.1111/geb.12898","title":"Incorporating existing thermal tolerance into projections of compositional turnover under climate change","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"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 New Brunswick","funders":"Science and Industry Endowment Fund","keywords":"Niche; Biological dispersal; Climate change; Range (aeronautics); Ecological niche; Ecology; Environmental niche modelling; Environmental science; Environmental change; Species distribution; Econometrics; Geography; Habitat; Biology; Economics; Engineering","score_opus":0.018843572107575066,"score_gpt":0.25177664653858756,"score_spread":0.2329330744310125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913436775","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":[0.9716846,0.00006739368,0.0000045593065,0.00032090567,0.00017851919,0.0001866192,0.00016053609,0.000024725172,0.027372142],"genre_scores_gemma":[0.9991825,0.000021783171,0.00015742879,0.0005246795,0.000021839749,0.000019190824,0.00006535134,0.0000024203457,0.0000047817443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993298,0.000031851883,0.00014645979,0.00019928228,0.000098275166,0.00019430114],"domain_scores_gemma":[0.9997414,0.000019134024,0.00010382199,0.000078240104,0.000014208646,0.00004324944],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001044613,0.00009224105,0.00011977536,0.000024957053,0.00016291169,0.000011663856,0.00007525943,0.000083250794,0.0041884123],"category_scores_gemma":[0.0000030532012,0.000082691644,0.00005626531,0.0003384343,0.0003138568,0.00011921577,0.00013710633,0.000057931917,0.00014957067],"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":[0.000026329762,0.0000728149,0.9865691,0.000012654305,0.000009943623,8.635469e-7,0.000040398074,0.000010315653,0.0027798074,0.009971353,0.00007584909,0.00043054423],"study_design_scores_gemma":[0.0002847361,0.00010622242,0.9977554,0.000009010271,0.000009241847,0.000008900464,0.00033396142,0.000052011634,0.00014282153,0.0007766537,0.00042678235,0.00009424195],"about_ca_topic_score_codex":0.00037803067,"about_ca_topic_score_gemma":0.0007517097,"teacher_disagreement_score":0.027497925,"about_ca_system_score_codex":0.00006727665,"about_ca_system_score_gemma":0.000003834801,"threshold_uncertainty_score":0.9967219},"labels":[],"label_agreement":null},{"id":"W2914259084","doi":"10.1111/geb.12871","title":"Persistently rare species experience stronger negative frequency dependence than common species: A statistical attractor that is hard to avoid","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rare species; Competition (biology); Intraspecific competition; Interspecific competition; Ecology; Extinction (optical mineralogy); Range (aeronautics); Zooplankton; Biology; Abundance (ecology); Covariance; Species evenness; Species diversity; Statistics; Habitat; Mathematics","score_opus":0.013557870166830433,"score_gpt":0.22753592842575596,"score_spread":0.21397805825892552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914259084","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":[0.9847569,0.00007196482,0.00017938679,0.00035283653,0.00040614328,0.00050372985,0.001460011,0.000031243395,0.012237805],"genre_scores_gemma":[0.99708766,0.000044017066,0.0015527492,0.0008308405,0.000029386028,0.000028386423,0.000034316177,0.000007204944,0.00038542345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818146,0.000102572616,0.00025920916,0.0006293004,0.00031422134,0.0005132564],"domain_scores_gemma":[0.99913406,0.00015203588,0.00011812313,0.00031397273,0.000016479396,0.0002652975],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015051558,0.00026544236,0.00035407895,0.000045221892,0.00022742171,0.00006880242,0.00034737363,0.00019131313,0.0062663355],"category_scores_gemma":[0.00002726074,0.0002255514,0.00011339571,0.0003295213,0.000487314,0.00022092968,0.00023355121,0.00017692693,0.0006461119],"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":[0.000045631637,0.00006513536,0.9949997,0.000016596796,0.000041541174,0.00001921309,0.0010529055,0.0000074045915,0.00031250264,0.0020084374,0.0012838051,0.0001471387],"study_design_scores_gemma":[0.0002652418,0.00041330516,0.9915176,0.000023056977,0.000025314293,0.00002891519,0.0033854453,0.00009994419,0.00008467407,0.0010571437,0.0028070514,0.0002923177],"about_ca_topic_score_codex":0.0010338713,"about_ca_topic_score_gemma":0.005830294,"teacher_disagreement_score":0.012330797,"about_ca_system_score_codex":0.00012965802,"about_ca_system_score_gemma":0.000016424898,"threshold_uncertainty_score":0.9946421},"labels":[],"label_agreement":null},{"id":"W2914936372","doi":"10.1111/geb.12878","title":"Exploring potential establishment of marine rafting species after transoceanic long‐distance dispersal","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"North Pacific Marine Science Organization; Fisheries and Oceans Canada","funders":"Division of Ocean Sciences; Smithsonian Environmental Research Center","keywords":"Biological dispersal; Biota; Ecology; Range (aeronautics); Debris; Marine debris; Context (archaeology); Geography; Introduced species; Habitat; Biology; Population; Archaeology","score_opus":0.00855998466495344,"score_gpt":0.1738664420449762,"score_spread":0.16530645738002275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914936372","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":[0.9966563,0.00015074183,0.000021512482,0.0001393759,0.00026417235,0.00019326934,0.0001138921,0.000019970665,0.0024407671],"genre_scores_gemma":[0.998648,0.00049138285,0.0006568332,0.000103759994,0.000013828522,0.000009275777,0.000011441139,0.0000035017988,0.00006199893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989507,0.000030190899,0.00017263346,0.0003568988,0.00018280934,0.00030675775],"domain_scores_gemma":[0.99970835,0.000017524117,0.00006612962,0.00014012853,0.000003694763,0.00006417982],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000097431344,0.00015898487,0.00020230457,0.000032529595,0.0001069,0.000012178671,0.00015045397,0.00006314996,0.001724974],"category_scores_gemma":[0.000003632043,0.00014833144,0.00011283929,0.0002257397,0.00064911525,0.00024450183,0.0004500541,0.00007311933,0.00010228346],"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":[0.00010779354,0.000090744084,0.9981001,0.00001822682,0.000055190205,0.000016104368,0.00009886606,0.000023042627,0.000550838,0.000044173303,0.000081914026,0.0008130196],"study_design_scores_gemma":[0.00042724184,0.00016757265,0.9975005,0.0000072869548,0.000043609623,0.000005832089,0.00035162515,0.000008959028,0.00034333003,0.00005901604,0.0009269853,0.00015804193],"about_ca_topic_score_codex":0.00023880515,"about_ca_topic_score_gemma":0.00039086232,"teacher_disagreement_score":0.002378768,"about_ca_system_score_codex":0.00007327509,"about_ca_system_score_gemma":0.0000011493363,"threshold_uncertainty_score":0.9991876},"labels":[],"label_agreement":null},{"id":"W2937610497","doi":"10.1111/geb.12911","title":"Physiological acclimation and persistence of ectothermic species under extreme heat events","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; McGill University","funders":"Canada Research Chairs; British Antarctic Survey; Natural Environment Research Council; Sight Research UK","keywords":"Ectotherm; Acclimatization; Biology; Invertebrate; Ecology; Climate change; Habitat; Latitude; Range (aeronautics); Phenotypic plasticity; Generalist and specialist species; Geography","score_opus":0.024026383857582295,"score_gpt":0.2103581273273995,"score_spread":0.1863317434698172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937610497","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":[0.99720633,0.00007381669,0.000004681208,0.00029875015,0.00003389895,0.000106755026,0.00003194165,0.000012152354,0.0022316552],"genre_scores_gemma":[0.9993133,0.00012839754,0.00017549859,0.00032928152,0.0000064933474,0.0000033520566,0.000011671452,9.84061e-7,0.00003103396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942404,0.000032842363,0.00010483388,0.00022791963,0.00006397282,0.00014639841],"domain_scores_gemma":[0.99981636,0.00003082605,0.000033085034,0.000066022476,0.0000055451624,0.00004813731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042182077,0.000084091,0.00013298275,0.000011883146,0.000056995636,0.000003532121,0.00007801202,0.00009203483,0.00069750485],"category_scores_gemma":[0.0000074219856,0.000056009365,0.00005544733,0.00017131522,0.00041606335,0.000057151698,0.0001268602,0.000041749307,0.00004154835],"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":[0.000023677512,0.0000806459,0.68102276,0.0000053610074,0.000011273097,2.0319004e-7,0.000007565392,0.0000185699,0.31781265,0.0007495473,0.000051473566,0.00021624248],"study_design_scores_gemma":[0.00016360544,0.00020586101,0.9763677,0.0000037437367,0.000009079787,0.000003114636,0.00006214053,0.00007380234,0.0005573729,0.022409035,0.00006983256,0.00007467084],"about_ca_topic_score_codex":0.000031169624,"about_ca_topic_score_gemma":0.000020247748,"teacher_disagreement_score":0.3172553,"about_ca_system_score_codex":0.0000121447365,"about_ca_system_score_gemma":0.0000017813869,"threshold_uncertainty_score":0.7637189},"labels":[],"label_agreement":null},{"id":"W2937990621","doi":"10.1111/geb.12908","title":"Local temperature and ecological similarity drive distributional dynamics of tropical mammals worldwide","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":"Concordia University","funders":"","keywords":"Ecology; Abiotic component; Extinction (optical mineralogy); Occupancy; Metacommunity; Macroecology; Climate change; Colonization; Biotic component; Community; Global change; Species richness; Environmental change; Local extinction; Ecosystem; Biology; Biological dispersal; Population","score_opus":0.004536926345580094,"score_gpt":0.2073441223832794,"score_spread":0.2028071960376993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937990621","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":[0.99418217,0.00007568806,0.000024181045,0.001316026,0.00011231108,0.00015489975,0.001471119,0.000019254197,0.002644337],"genre_scores_gemma":[0.9990748,0.00010530852,0.00004922555,0.00046954377,0.000007014758,0.0000060060656,0.0002693685,0.0000016816176,0.000017050486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990935,0.0000543643,0.00016723585,0.00030264084,0.00012022552,0.00026207085],"domain_scores_gemma":[0.9996749,0.000046010435,0.000049851547,0.000096160686,0.0000152333905,0.00011784217],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008254635,0.00012856617,0.00020962633,0.000018826719,0.0001028235,0.000014431668,0.00010173346,0.00025712897,0.009201029],"category_scores_gemma":[0.000018664681,0.00010393922,0.0000778818,0.0002703143,0.0010837199,0.000057117355,0.00022427067,0.00012541264,0.000060576887],"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":[0.0000569314,0.00013245968,0.9743104,0.0000067345713,0.000018402598,0.0000053328613,0.0000032459861,0.0000028196714,0.0001322876,0.024278285,0.00076542876,0.00028768004],"study_design_scores_gemma":[0.00044041275,0.00022597963,0.99509335,0.0000023780767,0.000018202318,0.000027613933,0.00020964895,0.00009231859,0.000050071478,0.0018382879,0.0018868834,0.000114867784],"about_ca_topic_score_codex":0.000058643822,"about_ca_topic_score_gemma":0.0018679,"teacher_disagreement_score":0.022439998,"about_ca_system_score_codex":0.00014241537,"about_ca_system_score_gemma":0.000006887487,"threshold_uncertainty_score":0.9917047},"labels":[],"label_agreement":null},{"id":"W2941419108","doi":"10.1111/geb.12914","title":"PGT: Visualizing temporal and spatial biogeographic patterns","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geographic coordinate system; Biogeography; Visualization; Geographic information system; Computer science; Phylogeography; Geospatial analysis; Data science; Geography; Software; Phylogenetic tree; Data mining; Ecology; Cartography; Biology","score_opus":0.004674921635603584,"score_gpt":0.2200540987543074,"score_spread":0.2153791771187038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941419108","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":[0.9979753,0.0006938269,0.000083439845,0.0001366789,0.00032664105,0.00016404738,0.00021958938,0.000014987983,0.0003855143],"genre_scores_gemma":[0.9985153,0.00032649862,0.00016183584,0.00063138775,0.00006863256,0.0000026971516,0.00026621352,0.0000046033183,0.000022824534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913704,0.00005180744,0.00012946592,0.00037901016,0.00007131364,0.00023134144],"domain_scores_gemma":[0.9996441,0.0000053789463,0.000063427426,0.00015051955,0.00003670213,0.00009988538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008390783,0.00015537585,0.00014921624,0.00007689032,0.00012098841,0.000029213115,0.00009211072,0.00027711998,0.000067285975],"category_scores_gemma":[0.0000060500333,0.00014795914,0.00008359214,0.00014205495,0.00014984103,0.000004621226,0.00016502646,0.00005971067,0.000008304556],"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":[0.00005640818,0.000017828648,0.99548906,0.000017145449,0.00007218014,0.0000023727007,0.00001117478,0.0000013392524,0.0016628988,0.00025293394,0.00014984855,0.0022667798],"study_design_scores_gemma":[0.0006410631,0.00036740382,0.9834106,0.0000052495684,0.000030787553,0.00003829375,0.00008575065,0.000010384704,0.0003845099,0.0004224856,0.014416698,0.00018680445],"about_ca_topic_score_codex":0.00044123988,"about_ca_topic_score_gemma":0.0008252719,"teacher_disagreement_score":0.0142668495,"about_ca_system_score_codex":0.0000022552006,"about_ca_system_score_gemma":0.000013391503,"threshold_uncertainty_score":0.6033599},"labels":[],"label_agreement":null},{"id":"W2946502178","doi":"10.1111/geb.12925","title":"Ecogeographical rules and the macroecology of food webs","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université de Montréal; Université de Sherbrooke","funders":"Division of Physics; Directorate for Biological Sciences","keywords":"Macroecology; Food web; Ecology; Bergmann's rule; Taxon; Food chain; Latitude; Geography; Biology; Trophic level; Biogeography","score_opus":0.007334083029604918,"score_gpt":0.1738440531899186,"score_spread":0.1665099701603137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946502178","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":[0.9935539,0.0022442045,4.0040646e-8,0.0018905955,0.000072550734,0.00018449963,0.0002808579,0.000018803856,0.0017545937],"genre_scores_gemma":[0.9982657,0.0012161003,0.00002004367,0.00044501963,0.000026766133,0.000008103629,0.00001220878,2.3642143e-7,0.0000058145406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992699,0.000076670214,0.0001493207,0.00021557197,0.000058400266,0.00023011214],"domain_scores_gemma":[0.9995643,0.00027396076,0.000069334295,0.000019678844,0.000028326578,0.000044416818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018247047,0.00011248957,0.00026639077,0.000013022919,0.00017504331,0.000013880107,0.00012530219,0.00013455769,0.00009497396],"category_scores_gemma":[0.000014623731,0.000034787892,0.000108876215,0.00023465561,0.0008714674,0.000028717352,0.00015139568,0.00007095651,0.000011477557],"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":[0.00016806273,0.000032278473,0.97571665,0.000005613609,0.00008210365,0.0000011222918,0.0000073958777,1.7154075e-8,0.00065494893,0.020846693,0.00012381698,0.0023612746],"study_design_scores_gemma":[0.00048752048,0.00071061624,0.97946864,0.000003567122,0.000029408684,0.0000284068,0.00010766701,0.0000033842566,0.000028977172,0.013706653,0.0053416477,0.00008352398],"about_ca_topic_score_codex":0.00008859026,"about_ca_topic_score_gemma":0.0046159094,"teacher_disagreement_score":0.0071400395,"about_ca_system_score_codex":0.0000018472231,"about_ca_system_score_gemma":0.0000024091692,"threshold_uncertainty_score":0.3210958},"labels":[],"label_agreement":null},{"id":"W2952121102","doi":"10.1111/geb.12602","title":"Hosts, parasites and their interactions respond to different climatic variables","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":109,"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 Toronto; Université de Sherbrooke; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Taxon; Biology; Interspecific competition; Beta diversity; Community; Metacommunity; Host (biology); Species distribution; Community structure; Macroecology; Variation (astronomy); Biodiversity; Biological dispersal; Ecosystem; Habitat; Population","score_opus":0.01093740066096932,"score_gpt":0.26719105664984705,"score_spread":0.2562536559888777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952121102","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":[0.9945688,0.00010665819,0.000010705044,0.0015377194,0.0001858104,0.00016433111,0.0000717059,0.000021606234,0.0033326645],"genre_scores_gemma":[0.99904907,0.00016080921,0.0002010324,0.00048135352,0.000013940453,0.00003240164,0.0000033787567,0.0000024840135,0.00005550732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992494,0.000044456723,0.000118804914,0.0002940298,0.000037385726,0.00025592773],"domain_scores_gemma":[0.9995753,0.00006326614,0.00007129324,0.00017950579,0.000006035043,0.000104601924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010816012,0.00014624691,0.0001910642,0.000033000084,0.001113849,0.000047130896,0.00016263578,0.00009051994,0.00031715765],"category_scores_gemma":[0.000050978884,0.00010237764,0.000045337758,0.00006844506,0.0007557044,0.0001183383,0.0005069968,0.00007971928,0.00005774412],"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":[0.000048141705,0.00008271339,0.995093,0.0000029002526,0.000034949746,0.000004891428,0.00007883498,3.796338e-7,0.00052369956,0.0004780842,0.00068298844,0.0029694512],"study_design_scores_gemma":[0.00017392407,0.00027556988,0.9941578,0.000005927259,0.000037717306,0.000020939236,0.00017566215,0.000007205362,0.000051545514,0.002390017,0.002582158,0.00012151657],"about_ca_topic_score_codex":0.00019233553,"about_ca_topic_score_gemma":0.0055863876,"teacher_disagreement_score":0.005394052,"about_ca_system_score_codex":0.00002139601,"about_ca_system_score_gemma":0.0000023149992,"threshold_uncertainty_score":0.8566938},"labels":[],"label_agreement":null},{"id":"W2952785101","doi":"10.1111/geb.12825","title":"Homogenization of species composition and species association networks are decoupled","year":2018,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Ecology; Beta diversity; Species richness; Species diversity; Biology; Homogenization (climate); Plant community; Biodiversity; Taxon; Gamma diversity; Plant species","score_opus":0.003897249026669945,"score_gpt":0.19322916464194256,"score_spread":0.18933191561527263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952785101","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":[0.9947537,0.0001643668,0.0003867688,0.00039921075,0.00019003329,0.00009977652,0.000033752545,0.000017804137,0.0039545456],"genre_scores_gemma":[0.9989227,0.00041589778,0.0002971337,0.0002447743,0.000038083086,0.0000043704063,0.000022330252,0.000001744159,0.000052933694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942553,0.00004946342,0.00014269238,0.00016907521,0.00006290443,0.00015030475],"domain_scores_gemma":[0.9996529,0.00006141663,0.00016878286,0.00004981831,0.00003693698,0.000030135878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015247912,0.00008059429,0.00013942113,0.00003340752,0.00028274517,0.000010062052,0.000044147553,0.00014033039,0.00017410131],"category_scores_gemma":[0.000025962256,0.00007594267,0.000030024124,0.00027957535,0.0006612306,0.000078659614,0.00008922134,0.000040639778,0.000009648025],"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":[0.000020733822,0.000037766982,0.99759793,0.000003333889,0.00004766442,5.5616795e-7,0.000046336267,0.000041438863,0.00013392617,0.0013038265,0.00062153325,0.00014492769],"study_design_scores_gemma":[0.00023458144,0.00012809596,0.99672085,0.0000035815294,0.000038829803,0.0000029869404,0.00007972949,0.0008347748,0.000038652714,0.0014933038,0.00035008148,0.00007455698],"about_ca_topic_score_codex":0.000021582886,"about_ca_topic_score_gemma":0.0032257272,"teacher_disagreement_score":0.004168991,"about_ca_system_score_codex":0.00004295549,"about_ca_system_score_gemma":0.0000020496473,"threshold_uncertainty_score":0.3096852},"labels":[],"label_agreement":null},{"id":"W2955924054","doi":"10.1111/geb.12938","title":"The interaction of phylogeny and community structure: Linking the community composition and trait evolution of clades","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","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":"University of British Columbia; Concordia University; Université de Montréal","funders":"Division of Emerging Frontiers; Division of Biological Infrastructure","keywords":"Clade; Biology; Trait; Ecology; Phylogenetics; Phylogenetic tree; Evolutionary biology; Ecological niche; Habitat","score_opus":0.010294377717170865,"score_gpt":0.22386534424137547,"score_spread":0.2135709665242046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955924054","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":[0.995031,0.003434797,0.0000049679957,0.00027526874,0.00017249664,0.00012554979,0.00019103287,0.0000064360565,0.000758446],"genre_scores_gemma":[0.99946123,0.00035934223,0.000040374438,0.00009743323,0.000007909543,4.017864e-7,0.000032118758,4.326981e-7,7.37649e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987952,0.000833863,0.00014969893,0.00006648719,0.00004790206,0.000106862804],"domain_scores_gemma":[0.9990261,0.0006754812,0.00012532521,0.00010960769,0.000042215604,0.000021227508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046705685,0.00007430359,0.00013807583,0.000034093082,0.001026128,0.000011441595,0.0001020031,0.00009397811,0.000012103416],"category_scores_gemma":[0.00001749507,0.00004334171,0.000031570817,0.00014356119,0.001096996,0.00005802121,0.00003201108,0.00030312774,3.730558e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008714116,0.000015003544,0.99524313,0.000026126823,0.00006930814,5.7626114e-8,0.00033077956,0.000008216419,0.00016096182,0.00079858175,0.000015028348,0.0032456664],"study_design_scores_gemma":[0.00021339692,0.00030586118,0.9891075,0.000011490834,0.00003522552,0.000025062767,0.003594486,0.00015499133,0.000017477234,0.00636483,0.00012653034,0.00004316214],"about_ca_topic_score_codex":0.0048947046,"about_ca_topic_score_gemma":0.104781255,"teacher_disagreement_score":0.099886544,"about_ca_system_score_codex":0.000002310845,"about_ca_system_score_gemma":0.000007336346,"threshold_uncertainty_score":0.91155416},"labels":[],"label_agreement":null},{"id":"W2960456710","doi":"10.1111/geb.12971","title":"Disturbances amplify tree community responses to climate change in the temperate–boreal ecotone","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":104,"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 Toronto; University of Guelph; Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Ecotone; Ecology; Taiga; Disturbance (geology); Temperate climate; Temperate rainforest; Boreal; Environmental science; Geography; Global warming; Global change; Physical geography; Ecosystem; Biology; Habitat","score_opus":0.012576908420350212,"score_gpt":0.26056746459518854,"score_spread":0.2479905561748383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960456710","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":[0.985953,0.00012818018,5.1571396e-7,0.002058309,0.00014664493,0.0004166693,0.00011021135,0.00001834897,0.011168147],"genre_scores_gemma":[0.99535835,0.00028169644,0.000066479304,0.004143354,0.000011247351,0.00010613577,0.000020983178,0.0000021538667,0.000009600206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988457,0.00042796312,0.00014445769,0.00020244395,0.0000699055,0.000309562],"domain_scores_gemma":[0.9995078,0.00022084115,0.000044420773,0.00017948438,0.0000060958027,0.00004136438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065595936,0.00012154764,0.0001643387,0.00004735178,0.0004018638,0.00001727681,0.00024356782,0.00011766074,0.00008497468],"category_scores_gemma":[0.000025272448,0.00008376142,0.000038380575,0.0004534996,0.0004062986,0.000091622125,0.00023666226,0.00018623668,0.00016944633],"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":[0.00011035204,0.00011112422,0.99622166,0.0000054002603,0.000012563509,0.000003188226,0.00063585845,0.0000033165543,0.000012463416,0.001830461,0.00018414918,0.00086947676],"study_design_scores_gemma":[0.00027928938,0.00036345734,0.9961327,0.0000040063196,0.000009927067,0.000008052167,0.0006781254,0.00001829673,0.000001672369,0.0015430945,0.0008568195,0.000104565996],"about_ca_topic_score_codex":0.0013773307,"about_ca_topic_score_gemma":0.082244396,"teacher_disagreement_score":0.08086707,"about_ca_system_score_codex":0.000027419614,"about_ca_system_score_gemma":0.0000028910451,"threshold_uncertainty_score":0.93450224},"labels":[],"label_agreement":null},{"id":"W2963331716","doi":"10.1111/geb.12976","title":"Local and regional drivers of taxonomic homogenization in stream communities along a land use gradient","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Institut National de la Recherche Scientifique","funders":"Division of Environmental Biology; National Science Foundation","keywords":"Eutrophication; Ecology; Biodiversity; Biological dispersal; Beta diversity; Trophic level; Agricultural land; Intraspecific competition; Land use; Dominance (genetics); Land cover; Species richness; Geography; Homogenization (climate); Environmental science; Biology; Nutrient; Population","score_opus":0.007428802903893104,"score_gpt":0.1674033467749583,"score_spread":0.1599745438710652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963331716","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":[0.9993301,0.000038726135,0.000008724473,0.00009332613,0.00007383819,0.000120425124,0.00006609494,0.0000067307583,0.00026202927],"genre_scores_gemma":[0.9994316,0.00014955562,0.000102792284,0.00026390154,0.0000013689256,0.0000018891187,0.000041264433,0.000001330184,0.000006281673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950355,0.00005706363,0.00010180293,0.00013754895,0.000039690327,0.00016032472],"domain_scores_gemma":[0.9998027,0.00003214086,0.00004373456,0.0000744037,0.000004829997,0.000042206848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007183855,0.000076007294,0.00013020111,0.000060481798,0.00006712825,0.000008554528,0.00007871385,0.000098945005,0.00020852314],"category_scores_gemma":[0.000001672647,0.00007377591,0.000026807646,0.0001519918,0.0007744259,0.00014648068,0.00016855293,0.000052211337,0.000020680669],"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":[0.000053186675,0.0000536392,0.9984574,0.000006360428,0.000018511877,0.0000043886507,0.00013885766,0.0002780097,0.000016166325,0.00033742533,0.00037598278,0.00026011045],"study_design_scores_gemma":[0.0005889319,0.00021773842,0.9964889,0.00000406438,0.000011324483,0.000013305368,0.0005985684,0.0006709257,0.000015918744,0.00044816933,0.00086435606,0.00007778236],"about_ca_topic_score_codex":0.010433772,"about_ca_topic_score_gemma":0.091763124,"teacher_disagreement_score":0.08132935,"about_ca_system_score_codex":0.000033248245,"about_ca_system_score_gemma":0.0000046992254,"threshold_uncertainty_score":0.99615586},"labels":[],"label_agreement":null},{"id":"W2966585420","doi":"10.1111/geb.12975","title":"sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Fisheries and Oceans Canada; University of Victoria","funders":"Division of Environmental Biology; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro; Russian Science Foundation; Norges Forskningsråd; Canada Research Chairs; Andrew W. Mellon Foundation; Sight Research UK; Deutsche Forschungsgemeinschaft; Natural Environment Research Council; University of Southampton; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Biodiversity; Ecosystem; Ecology; Database; Trait; Chemosynthesis; Hydrothermal vent; Trophic level; Biology; Habitat; Abundance (ecology); Fauna; Taxon; Geography; Computer science","score_opus":0.008516388456451012,"score_gpt":0.23483273040211497,"score_spread":0.22631634194566397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966585420","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":[0.98508817,0.0012229775,0.000025604877,0.00071036565,0.00064142793,0.0007435554,0.0024112347,0.000049687875,0.009106953],"genre_scores_gemma":[0.99721396,0.00014242058,0.0003051661,0.0011802878,0.00007663748,0.000016467311,0.0010006436,0.0000020468833,0.00006238063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826807,0.00013293089,0.00022836479,0.0005371849,0.00010063311,0.00073284656],"domain_scores_gemma":[0.9993109,0.0001442876,0.00006958049,0.00021502089,0.00004081198,0.00021937088],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046494754,0.0002054025,0.00029872256,0.00007493779,0.00027064196,0.000025919924,0.00030903865,0.0003274707,0.0042441967],"category_scores_gemma":[0.00003447252,0.00016739663,0.0001660536,0.000351291,0.00038981135,0.000119000695,0.00005725083,0.00013705903,0.00026294563],"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":[0.00041804952,0.000062880914,0.9843683,0.000037566442,0.00012647148,0.000014262771,0.0000055914807,0.000014341128,0.000002587804,0.0016279741,0.0007370764,0.012584872],"study_design_scores_gemma":[0.0010487082,0.0008674293,0.9782826,0.0000043229784,0.00003531526,0.00007433827,0.00003608748,0.0010091108,0.0000045741585,0.0049405093,0.013498673,0.00019834595],"about_ca_topic_score_codex":0.0010650951,"about_ca_topic_score_gemma":0.017405113,"teacher_disagreement_score":0.01634002,"about_ca_system_score_codex":0.000008143092,"about_ca_system_score_gemma":0.00005631293,"threshold_uncertainty_score":0.9966661},"labels":[],"label_agreement":null},{"id":"W2968443045","doi":"10.1111/geb.12981","title":"Spatial analyses of multi‐trophic terrestrial vertebrate assemblages in Europe","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Natural Resources Canada; Canadian Forest Service","funders":"Agence Nationale de la Recherche","keywords":"Food web; Species richness; Trophic level; Ecology; Spatial distribution; Spatial variability; Biodiversity; Spatial analysis; Geography; Biology; Statistics; Remote sensing","score_opus":0.012401978362515678,"score_gpt":0.26335991654816215,"score_spread":0.2509579381856465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968443045","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":[0.99742776,0.00012057139,0.000013675203,0.0001268507,0.00028042647,0.00013576643,0.000016210251,0.000010928009,0.0018678284],"genre_scores_gemma":[0.99946237,0.00017045288,0.00018282738,0.00014009817,0.000007959287,0.000005042,0.000009102425,0.0000021436538,0.000020020145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920374,0.00010958584,0.00019680354,0.00023957319,0.00005988571,0.00019039917],"domain_scores_gemma":[0.9997303,0.000050055678,0.00008820394,0.0000907408,0.00000857897,0.000032129108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013810888,0.00010175833,0.00020777923,0.00006901905,0.000056003162,0.0000047762023,0.000103762184,0.000112972564,0.00020055042],"category_scores_gemma":[0.00004055728,0.00008637571,0.000047756566,0.0005294498,0.00034993305,0.00006554451,0.00013575687,0.000073240924,0.00008682929],"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":[0.00005463928,0.00010121721,0.9979645,0.0000034245152,0.000039697803,0.000006705668,0.000019033574,0.00029138432,0.00095046556,0.00012325852,0.00003519172,0.00041046258],"study_design_scores_gemma":[0.00085203926,0.00019594132,0.9961177,0.0000031583006,0.00002230826,0.0000027098333,0.000022845168,0.002147171,0.000065784756,0.00041427807,0.000068626716,0.00008740504],"about_ca_topic_score_codex":0.00085043913,"about_ca_topic_score_gemma":0.010793511,"teacher_disagreement_score":0.009943072,"about_ca_system_score_codex":0.00001399908,"about_ca_system_score_gemma":0.000007927268,"threshold_uncertainty_score":0.60230327},"labels":[],"label_agreement":null},{"id":"W2968555835","doi":"10.1111/geb.12990","title":"A meta‐analysis reveals global patterns of sediment effects on marine biodiversity","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":31,"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 Victoria","funders":"Mitacs; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Crustose; Coralline algae; Ecology; Biology; Coral reef; Biodiversity; Seagrass; Polychaete; Abundance (ecology); Reef; Habitat; Algae; Anthozoa","score_opus":0.007740542500751146,"score_gpt":0.2019213789378644,"score_spread":0.19418083643711326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968555835","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":[0.994559,0.00012182395,0.0000029664723,0.0003583606,0.00014893863,0.00026485708,0.0003175828,0.000015503909,0.004210968],"genre_scores_gemma":[0.9992622,0.00007380491,0.00007325511,0.00049829844,0.0000062656068,0.000009516623,0.000019859312,7.9973563e-7,0.00005600765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990699,0.00007576257,0.00015372402,0.0003415134,0.00013294107,0.00022613627],"domain_scores_gemma":[0.99960375,0.000044767366,0.000100868194,0.00016871076,0.000009338067,0.00007257148],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014144965,0.00015350082,0.00051715085,0.000046096407,0.000078245524,0.0000059257713,0.00012408769,0.00007652729,0.0013446601],"category_scores_gemma":[0.0000034905515,0.00011282093,0.00042785675,0.00061220623,0.00008478087,0.000040424096,0.000594098,0.00003810973,0.00018492583],"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":[0.00004386837,0.000089851615,0.985071,0.00002936924,0.013702817,0.0000051624606,0.0000059855397,0.000005172964,0.000012864755,0.0001393288,0.00043589753,0.00045867616],"study_design_scores_gemma":[0.00029524634,0.00042813626,0.98652613,0.0000014105871,0.011555798,0.0000022601305,0.000015261548,0.0000034122927,0.00002961574,0.00049589033,0.0005342852,0.000112524605],"about_ca_topic_score_codex":0.004059406,"about_ca_topic_score_gemma":0.003785997,"teacher_disagreement_score":0.0047031944,"about_ca_system_score_codex":0.000040843872,"about_ca_system_score_gemma":0.0000019211743,"threshold_uncertainty_score":0.9995682},"labels":[],"label_agreement":null},{"id":"W2971500937","doi":"10.1111/geb.12996","title":"Robustness of trait connections across environmental gradients and growth forms","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"H2020 European Research Council; Australian Research Council; Horizon 2020 Framework Programme; Advanced Research Projects Agency - Energy; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Russian Science Foundation; U.S. Department of Energy; European Commission; Seventh Framework Programme; University of Minnesota; Advanced Research Projects Agency; National Science Foundation","keywords":"Trait; Biology; Ecology; Woody plant; Temperate climate; Specific leaf area; Robustness (evolution); Resource Acquisition Is Initialization; Arid; Modularity (biology); Evolutionary biology; Botany; Resource allocation","score_opus":0.008940948037041534,"score_gpt":0.18602254087583164,"score_spread":0.1770815928387901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971500937","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":[0.9981425,0.0003160326,2.1137684e-7,0.00017934517,0.00006106895,0.00010269259,0.0008853609,0.000012836715,0.0003000002],"genre_scores_gemma":[0.99951845,0.0003471259,0.000010256748,0.00006233671,0.00001884927,0.0000037214143,0.000030673767,1.9003623e-7,0.000008400754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999485,0.000013301979,0.00009374473,0.00017259306,0.00004383914,0.00019148113],"domain_scores_gemma":[0.9998573,0.000038751394,0.000042249212,0.000009276137,0.000007344652,0.000045069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055347326,0.00008446548,0.0001448581,0.0000058616715,0.00018119051,0.000009724727,0.000056749825,0.00008030942,0.000048462764],"category_scores_gemma":[0.0000029769708,0.000033253993,0.00005505356,0.00013044119,0.00022286928,0.00005347444,0.00007157584,0.000034436827,0.000002186909],"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":[0.000031633917,0.000056152458,0.993515,0.0000046048153,0.000031864747,7.083773e-7,0.000012200894,2.3658997e-7,0.003470589,0.0005951994,0.000033335367,0.0022484774],"study_design_scores_gemma":[0.0001905631,0.00041003944,0.9977638,0.0000034434222,0.000010767366,0.00002031464,0.00038164062,0.0000070046663,0.0000753879,0.0004957323,0.0005593467,0.000081975246],"about_ca_topic_score_codex":0.0001037509,"about_ca_topic_score_gemma":0.0016453235,"teacher_disagreement_score":0.0042487876,"about_ca_system_score_codex":0.0000035265455,"about_ca_system_score_gemma":6.4359955e-7,"threshold_uncertainty_score":0.13935892},"labels":[],"label_agreement":null},{"id":"W2972917227","doi":"10.1111/geb.13000","title":"On the mismatch in the strength of competition among fossil and modern species of planktonic Foraminifera","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":26,"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":"German Academic Exchange Service London; Natural Environment Research Council; Sight Research UK","keywords":"Interspecific competition; Ecology; Biology; Population; Foraminifera; Competition (biology)","score_opus":0.008411836152511282,"score_gpt":0.20222626947854128,"score_spread":0.19381443332603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972917227","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":[0.9890633,0.00062826887,4.1398158e-7,0.00066511036,0.000062174855,0.00019133736,0.000106557556,0.0000030233496,0.009279817],"genre_scores_gemma":[0.9996104,0.00020494872,0.000011611052,0.00013083493,0.0000042890606,0.0000013314659,0.000029183106,4.0371955e-7,0.0000070005585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992295,0.00021593996,0.00014176535,0.00014139396,0.00008486282,0.00018655247],"domain_scores_gemma":[0.9991028,0.0006782396,0.000063661275,0.0001162373,0.000017872644,0.000021245458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040909016,0.000075900854,0.00016713192,0.00006924727,0.0000841519,0.0000075098324,0.00015741857,0.00012917268,0.00029491071],"category_scores_gemma":[0.000019549894,0.000040763196,0.000036709687,0.0002084456,0.0008800349,0.000033582764,0.000014003127,0.0001389596,0.000007728115],"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":[0.000096215685,0.000028492703,0.99022895,0.000020018353,0.000023157814,0.0000035232665,0.000119634424,0.000014312214,0.0000013840888,0.00923573,0.000033341123,0.00019524043],"study_design_scores_gemma":[0.00027655376,0.00039882326,0.98237914,0.000010143002,0.000008289608,0.000017515737,0.00040461324,0.00036818557,0.0000102232425,0.016055292,0.000030022497,0.00004122834],"about_ca_topic_score_codex":0.00019285215,"about_ca_topic_score_gemma":0.009373002,"teacher_disagreement_score":0.010547101,"about_ca_system_score_codex":3.0921956e-7,"about_ca_system_score_gemma":0.000013944661,"threshold_uncertainty_score":0.5230355},"labels":[],"label_agreement":null},{"id":"W2981103643","doi":"10.1111/geb.13014","title":"Lower elevation animal species do not tend to be better competitors than their higher elevation relatives","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":25,"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":"Banting Research Foundation","keywords":"Interspecific competition; Ecology; Biology; Aggression; Elevation (ballistics); Range (aeronautics); Competition (biology); Latitude; Taxon; Storage effect; Zoology; Geography; Psychology","score_opus":0.013339066772165113,"score_gpt":0.21867000009262474,"score_spread":0.20533093332045962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981103643","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":[0.9704157,0.000023006229,0.0000037425655,0.005641895,0.00046964036,0.00023283824,0.00032153097,0.000041454536,0.022850156],"genre_scores_gemma":[0.9966842,0.0000336082,0.00005066235,0.0028587487,0.000046709258,0.000012234624,0.00011418959,0.000004285897,0.00019536719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990262,0.000044685534,0.00015537931,0.0003405186,0.00014967643,0.00028354928],"domain_scores_gemma":[0.9996559,0.00003267645,0.0000681672,0.00013944654,0.000017193577,0.000086628],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000116162126,0.00015540449,0.00014618738,0.00004763544,0.0001417945,0.000042047417,0.00012250723,0.00014208727,0.02560079],"category_scores_gemma":[0.000008582462,0.00012549211,0.000077550496,0.00045188685,0.00024890286,0.00016454465,0.0001363274,0.00007664453,0.00073906535],"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":[0.00008910174,0.00006717599,0.97966844,0.0000026539471,0.000020042586,0.0000011596187,0.00006148812,8.8157844e-7,0.0064975526,0.008021106,0.00540057,0.00016982052],"study_design_scores_gemma":[0.0002491774,0.00028634924,0.8837404,0.0000029153964,0.000009030333,0.0000021166495,0.00037983886,0.0000023065497,0.0003126016,0.00030798363,0.114560194,0.00014705866],"about_ca_topic_score_codex":0.00006610696,"about_ca_topic_score_gemma":0.00033095197,"teacher_disagreement_score":0.109159626,"about_ca_system_score_codex":0.000118630036,"about_ca_system_score_gemma":0.0000030015228,"threshold_uncertainty_score":0.97528994},"labels":[],"label_agreement":null},{"id":"W2982970603","doi":"10.1111/geb.13025","title":"Towards a macroscope: Leveraging technology to transform the breadth, scale and resolution of macroecological data","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":33,"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":"Leverhulme Trust; John Templeton Foundation","keywords":"Biosphere; Computer science; Constellation; Citizen science; Drone; Scale (ratio); Biodiversity; Big data; Environmental resource management; Sampling (signal processing); Data science; Earth observation; Environmental science; Ecology; Geography; Data mining; Telecommunications; Satellite; Engineering; Cartography; Aerospace engineering","score_opus":0.008844433488434675,"score_gpt":0.23115496938460722,"score_spread":0.22231053589617256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982970603","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":[0.99279624,0.00026982214,0.000021252139,0.004246647,0.0000885824,0.00037943234,0.00029658416,0.000021875452,0.0018795573],"genre_scores_gemma":[0.9962635,0.00030516784,0.0027985282,0.0005923448,0.0000040690315,0.0000070329547,0.00001220346,0.0000018867288,0.000015263633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904627,0.000032794847,0.00013083659,0.00041387542,0.00010864804,0.00026758984],"domain_scores_gemma":[0.9995993,0.000023372615,0.000041092215,0.00027974852,0.000003424891,0.00005311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021647126,0.000117936455,0.00017125651,0.00003917871,0.0002206942,0.000009108456,0.00038485375,0.00013662798,0.00021185109],"category_scores_gemma":[0.000009903584,0.00008392949,0.000028886356,0.00037524573,0.0013095104,0.00008749923,0.0013739681,0.00008929741,0.0000627637],"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":[0.0000395906,0.00004484229,0.99023265,0.00000579548,0.000025845888,0.0000029871042,0.00006308621,0.000004340234,0.0005703696,0.000061032668,0.00075813546,0.008191313],"study_design_scores_gemma":[0.00029223264,0.00031834305,0.9921366,0.0000041630556,0.00003038387,0.000037695216,0.0004397501,0.0000255541,0.00024309957,0.00095911423,0.0054132347,0.00009983107],"about_ca_topic_score_codex":0.00037398422,"about_ca_topic_score_gemma":0.00065490976,"teacher_disagreement_score":0.008091481,"about_ca_system_score_codex":0.000040370884,"about_ca_system_score_gemma":0.0000021346584,"threshold_uncertainty_score":0.48249456},"labels":[],"label_agreement":null},{"id":"W2984442993","doi":"10.1111/geb.13020","title":"Unifying macroecology and macroevolution to answer fundamental questions about biodiversity","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"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 Toronto","funders":"Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Deutsche Forschungsgemeinschaft; Sight Research UK; Maine Agricultural and Forest Experiment Station; Division of Biological Infrastructure; Natural Environment Research Council; McGill University; U.S. Department of Agriculture; National Science Foundation","keywords":"Macroevolution; Macroecology; Biodiversity; Ecology; Biology; Phylogenetics","score_opus":0.0028140937191667202,"score_gpt":0.2181620163698787,"score_spread":0.21534792265071198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984442993","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":[0.9961414,0.0011739326,0.00014597859,0.0005265201,0.00041329366,0.00026192216,0.00025731474,0.000019837156,0.0010598225],"genre_scores_gemma":[0.9958208,0.00052563555,0.0010128309,0.0023088374,0.00003186214,0.000008295721,0.0001652883,0.0000031567838,0.00012328174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911374,0.000053620923,0.00012033615,0.00039250503,0.000048256858,0.00027152742],"domain_scores_gemma":[0.99960184,0.0000054021943,0.00004037629,0.00014623225,0.000056299556,0.00014982947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089961795,0.00013769076,0.0001298042,0.000081106606,0.00017569572,0.000018018201,0.00009004168,0.00024281371,0.000044493314],"category_scores_gemma":[0.000011311609,0.00014356623,0.00005763891,0.00017394971,0.00023745441,0.0000046964083,0.0002260839,0.00006121457,0.000050013412],"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":[0.000078868754,0.000060673607,0.9902164,0.00001129767,0.000051479692,0.0000014221229,0.000008857028,0.000012809083,0.005261816,0.0011179787,0.0019754553,0.0012029625],"study_design_scores_gemma":[0.00048056,0.0005319116,0.9579173,0.000004365755,0.000026145965,0.000049478993,0.00010952097,0.00003377028,0.00006445016,0.00034050015,0.04026876,0.00017327355],"about_ca_topic_score_codex":0.00012060949,"about_ca_topic_score_gemma":0.001174359,"teacher_disagreement_score":0.038293306,"about_ca_system_score_codex":0.000019968711,"about_ca_system_score_gemma":0.00004604696,"threshold_uncertainty_score":0.58544606},"labels":[],"label_agreement":null},{"id":"W2984967191","doi":"10.1111/geb.13029","title":"Species niches, not traits, determine abundance and occupancy patterns: A multi‐site synthesis","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"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; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Agence Nationale de la Recherche; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fondation pour la Recherche sur la Biodiversite; International Institute of Tropical Forestry; National Science Foundation; Royal Society of Edinburgh; Royal Society; Universidad Nacional de Rosario; Carnegie Trust for the Universities of Scotland; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Niche; Ecological niche; Ecology; Occupancy; Biology; Abundance (ecology); Trait; Niche segregation; Habitat; Range (aeronautics); Niche differentiation; Taxon; Optimal distinctiveness theory; Environmental niche modelling","score_opus":0.013017146814091695,"score_gpt":0.2176904279106571,"score_spread":0.2046732810965654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984967191","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":[0.9951794,0.00027861845,0.000007085068,0.00036282316,0.00013284902,0.0001835257,0.0011757069,0.000041107814,0.0026388753],"genre_scores_gemma":[0.9979891,0.0007746658,0.00009826274,0.0009953323,0.00001275278,0.00001992434,0.000028843899,0.0000041054927,0.00007696977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989666,0.00003827785,0.0001559354,0.00040153528,0.00010237084,0.0003352945],"domain_scores_gemma":[0.99963355,0.000050116756,0.000066196655,0.00013071508,0.000007026257,0.00011241861],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010010803,0.00016407853,0.00020771948,0.00003024334,0.00012849443,0.000037487927,0.00012462086,0.00013405115,0.009508573],"category_scores_gemma":[0.000019136416,0.00014824547,0.00007397081,0.00021539349,0.00037588508,0.00011303006,0.00017903828,0.00006631127,0.00038610978],"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":[0.00003675497,0.00006987853,0.994186,0.000015645377,0.00001692638,0.0000072531984,0.000030824278,1.121684e-7,0.0011753343,0.0002151185,0.000427703,0.003818453],"study_design_scores_gemma":[0.0004118576,0.00008825373,0.98650986,0.000008806827,0.000023857352,0.000031551455,0.0002569764,0.000016697864,0.00027737385,0.00003317319,0.01215964,0.00018196],"about_ca_topic_score_codex":0.00022130193,"about_ca_topic_score_gemma":0.00276621,"teacher_disagreement_score":0.011731937,"about_ca_system_score_codex":0.000057985886,"about_ca_system_score_gemma":0.0000030396513,"threshold_uncertainty_score":0.99139684},"labels":[],"label_agreement":null},{"id":"W2985114281","doi":"10.1111/geb.13023","title":"Global meta‐analysis of how marine upwelling affects herbivory","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Smithsonian Tropical Research Institute; McGill University","keywords":"Upwelling; Herbivore; Ecosystem; Marine ecosystem; Ecology; Biology; Oceanography; Geology","score_opus":0.009607619588194225,"score_gpt":0.23021288552804453,"score_spread":0.2206052659398503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985114281","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":[0.8866381,0.00018407455,0.000019415691,0.00041584185,0.000072172086,0.00019273137,0.000053723637,0.000019508798,0.11240445],"genre_scores_gemma":[0.99897623,0.00016805071,0.0003592518,0.0002575069,0.000006880361,0.000009321223,0.00002124006,0.0000023682328,0.00019915128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989036,0.00008979019,0.000118487886,0.00036069116,0.00019405968,0.00033339835],"domain_scores_gemma":[0.99952745,0.000047720292,0.00007037219,0.0002355913,0.000011466541,0.00010738247],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002445552,0.00014175114,0.00047614292,0.00007893839,0.00006405512,0.00002161037,0.00020962134,0.0001391554,0.008592386],"category_scores_gemma":[0.0000091898,0.00011327758,0.00044489556,0.0019199374,0.00037253066,0.00009930791,0.000504945,0.000067098976,0.000031471754],"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":[0.000051182116,0.000058483678,0.9863014,0.000018409532,0.010896635,0.0000066983375,0.000004093758,0.00004711005,0.000016731192,0.00053829217,0.00020263207,0.0018582914],"study_design_scores_gemma":[0.00019836507,0.00025007152,0.98662275,3.4531868e-7,0.0072061312,0.0000033433457,0.000028205939,0.00026294202,0.000010794468,0.0007660838,0.00452682,0.00012414713],"about_ca_topic_score_codex":0.0014786893,"about_ca_topic_score_gemma":0.0044814884,"teacher_disagreement_score":0.11233815,"about_ca_system_score_codex":0.000026804622,"about_ca_system_score_gemma":0.000006581905,"threshold_uncertainty_score":0.9923139},"labels":[],"label_agreement":null},{"id":"W2986595338","doi":"10.1111/geb.13022","title":"Defining isoscapes in the Northeast Pacific as an index of ocean productivity","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tula Foundation; University of British Columbia; Vancouver Island University; Fisheries and Oceans Canada","funders":"Hakai Institute; G. Unger Vetlesen Foundation","keywords":"Zooplankton; Environmental science; Oceanography; Copepod; Biomass (ecology); Productivity; Food web; Ecology; Ecosystem; Geography; Crustacean; Biology; Geology","score_opus":0.0025516015826512746,"score_gpt":0.20189378676808603,"score_spread":0.19934218518543476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986595338","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":[0.98875445,0.00005044735,0.0000010897511,0.0003381546,0.00008358945,0.00020530229,0.000012897428,0.000009078025,0.010545012],"genre_scores_gemma":[0.9996075,0.000018859166,0.000060084298,0.00028153067,0.000007634544,0.0000054262914,0.0000083404075,0.000002411379,0.000008238528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988919,0.00022352854,0.00017318355,0.00034188753,0.00011282499,0.00025668126],"domain_scores_gemma":[0.99955416,0.000052291874,0.00008979528,0.00026365215,0.000007388931,0.000032726028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056883635,0.0001055076,0.0001896794,0.00006679648,0.00007923693,0.000009505419,0.00026161625,0.00011505399,0.00034753777],"category_scores_gemma":[0.000025665386,0.00007578633,0.000060533264,0.0007027526,0.00048491784,0.00013185231,0.00012306294,0.00010677969,0.00009862461],"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":[0.000031927168,0.00018113134,0.9967175,0.0000029980786,0.00001770904,0.000003831632,0.00016833948,0.00003513098,0.000025690082,0.0013275181,0.00005920973,0.001429018],"study_design_scores_gemma":[0.00019803815,0.00031036415,0.9934419,0.0000014179234,0.00001651272,0.00002633238,0.0007493126,0.000057108886,0.000011635211,0.004421599,0.0006797888,0.000085983476],"about_ca_topic_score_codex":0.0006880279,"about_ca_topic_score_gemma":0.0055911215,"teacher_disagreement_score":0.010853045,"about_ca_system_score_codex":0.000018078152,"about_ca_system_score_gemma":0.00000933813,"threshold_uncertainty_score":0.38052946},"labels":[],"label_agreement":null},{"id":"W2990064511","doi":"10.1111/geb.13035","title":"Temperature drives local contributions to beta diversity in mountain streams: Stochastic and deterministic processes","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Pacific Northwest National Laboratory; Research and Development; Science and Engineering Research Council; Emil Aaltosen Säätiö; National Natural Science Foundation of China","keywords":"Ecology; Beta diversity; Null model; Trophic level; Biodiversity; Niche; Dominance (genetics); Generalist and specialist species; Species richness; Ecological niche; Range (aeronautics); Generality; Community; Biology; Ecosystem; Habitat","score_opus":0.0034788915912120264,"score_gpt":0.218271988571799,"score_spread":0.21479309698058696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990064511","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":[0.9985715,0.00008182195,0.000023522027,0.00037813958,0.00007583593,0.00028828808,0.0003072632,0.000015501237,0.00025812202],"genre_scores_gemma":[0.9990356,0.000028031884,0.000036205212,0.0008314219,0.000006541539,0.000008494524,0.00004385021,0.0000017876577,0.0000080872205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991635,0.000121141864,0.000111523936,0.00028049207,0.000037676826,0.00028563218],"domain_scores_gemma":[0.9996062,0.000128824,0.00003344493,0.000117541305,0.000014630223,0.000099373865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177665,0.00012817784,0.00020339158,0.00005216894,0.00033674264,0.000010903933,0.0001663992,0.00021309288,0.0003055457],"category_scores_gemma":[0.00003751312,0.00011827737,0.000024108056,0.0003756918,0.00060248247,0.000072538445,0.0007163225,0.00016506136,0.000064461805],"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":[0.00009675363,0.00009796088,0.9979027,0.00001305421,0.000018118108,0.0000059090526,0.00015065433,0.00016122463,0.0005342716,0.00038374696,0.00027257207,0.00036304866],"study_design_scores_gemma":[0.0004659672,0.00045659303,0.99445707,0.000008744039,0.00002090892,0.000021234968,0.000256407,0.000027184484,0.000023382065,0.0038657542,0.0002525584,0.00014421265],"about_ca_topic_score_codex":0.0006034591,"about_ca_topic_score_gemma":0.025924712,"teacher_disagreement_score":0.025321253,"about_ca_system_score_codex":0.0000498598,"about_ca_system_score_gemma":0.00001815879,"threshold_uncertainty_score":0.9918496},"labels":[],"label_agreement":null},{"id":"W2990109662","doi":"10.1111/geb.13036","title":"A novel tool to assess the effect of intraspecific spatial niche variation on species distribution shifts under climate change","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"FP7 Environment; Fonds National de la Recherche Luxembourg; Fédération Wallonie-Bruxelles; European Commission","keywords":"Intraspecific competition; Niche; Biological dispersal; Species distribution; Climate change; Variation (astronomy); Local adaptation; Ecological niche; Ecology; Range (aeronautics); Environmental niche modelling; Adaptation (eye); Spatial variability; Biology; Habitat; Population; Statistics","score_opus":0.017612979820947096,"score_gpt":0.23887617753679355,"score_spread":0.22126319771584646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990109662","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":[0.9918565,0.000014801607,0.00017587678,0.0012987157,0.0004526209,0.00061684125,0.0013246787,0.00002536556,0.0042346083],"genre_scores_gemma":[0.9989788,0.00005318523,0.0000094051275,0.0006533215,0.000040850515,0.00004931779,0.0002078411,0.0000033615183,0.0000039467836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989544,0.000084406405,0.00017305819,0.00029596165,0.00018844681,0.0003037353],"domain_scores_gemma":[0.9995434,0.00009973727,0.000095590105,0.00019081279,0.000012093502,0.00005835857],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034406403,0.00015331707,0.00018392837,0.00002550542,0.00014509194,0.000031082047,0.00015920134,0.00013173121,0.0032910157],"category_scores_gemma":[0.000024435916,0.000103543374,0.00008922217,0.00046565596,0.0001989423,0.000076902375,0.00016492292,0.000080941376,0.00032838635],"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":[0.00026409543,0.00010898458,0.9721311,0.00001382377,0.000025887397,7.2966156e-7,0.000044535875,0.000009513655,0.0030846277,0.022079809,0.00061682845,0.0016200878],"study_design_scores_gemma":[0.00053916365,0.000828181,0.9947067,0.000007232433,0.00002832849,0.0000034772743,0.000111710695,0.000022322392,0.00046827362,0.00014571975,0.0030169871,0.000121899764],"about_ca_topic_score_codex":0.00019794903,"about_ca_topic_score_gemma":0.00064485165,"teacher_disagreement_score":0.022575628,"about_ca_system_score_codex":0.00015861544,"about_ca_system_score_gemma":0.000002667467,"threshold_uncertainty_score":0.9976201},"labels":[],"label_agreement":null},{"id":"W2994289884","doi":"10.1111/geb.13027","title":"Similar factors underlie tree abundance in forests in native and alien ranges","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","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":"Natural Resources Canada; Canadian Forest Service","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Consejo Nacional de Innovación, Ciencia y Tecnología; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fondo Nacional de Desarrollo Científico y Tecnológico; Akademie Věd České Republiky; Austrian Science Fund; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Grantová Agentura České Republiky; Deutsche Forschungsgemeinschaft","keywords":"Abundance (ecology); Ecology; Alien; Invasive species; Introduced species; Macroecology; Biology; Taxon; Habitat; Relative species abundance; Trait; Vegetation (pathology); Biogeography; Population","score_opus":0.004795142544186731,"score_gpt":0.21594784256261176,"score_spread":0.21115270001842504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994289884","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":[0.99397075,0.00036359028,0.0000025882625,0.00046892368,0.00009335081,0.00020591548,0.000019520772,0.000010233458,0.004865099],"genre_scores_gemma":[0.99924666,0.00034067826,0.000076598626,0.00029223063,0.0000022779127,0.000011790693,0.0000063974376,0.0000020308648,0.000021342465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999242,0.00006146795,0.00012743151,0.00028385737,0.000049579878,0.00023566581],"domain_scores_gemma":[0.9997402,0.000115691044,0.000044385124,0.00006011724,0.0000038063451,0.000035799974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014080665,0.00011341045,0.00017750326,0.00007320784,0.00007388259,0.0000063846155,0.00007281671,0.00013778271,0.00007478505],"category_scores_gemma":[0.000018537441,0.000097795215,0.00002567991,0.00032226363,0.0004782181,0.00010367767,0.000114688766,0.00008776215,0.000015897533],"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":[0.000025249805,0.000048939448,0.99819154,0.000005157334,0.000015136887,0.000005304022,0.00021403651,0.00007962894,0.000010293097,0.0009993934,0.00003768268,0.00036762963],"study_design_scores_gemma":[0.00064620655,0.00013888662,0.9845488,0.000004644291,0.0000053306076,0.0000023750697,0.0002885508,0.00020241094,0.000005753662,0.0138933,0.00015788425,0.00010587429],"about_ca_topic_score_codex":0.0002611187,"about_ca_topic_score_gemma":0.15992072,"teacher_disagreement_score":0.15965961,"about_ca_system_score_codex":0.00004373002,"about_ca_system_score_gemma":0.000004322633,"threshold_uncertainty_score":0.85540855},"labels":[],"label_agreement":null},{"id":"W2995421242","doi":"10.1111/geb.13046","title":"Not a melting pot: Plant species aggregate in their non‐native range","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of British Columbia, Okanagan Campus; Western University; University of British Columbia; Queen's University; University of Saskatchewan; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Consejo Nacional de Investigaciones Científicas y Técnicas; National Science Foundation; Eesti Teadusagentuur; Asia Foundation; European Regional Development Fund; Universidad Nacional de Córdoba; Fundação Grupo Boticário de Proteção à Natureza","keywords":"Introduced species; Native plant; Species richness; Range (aeronautics); Invasive species; Ecology; Alien; Habitat; Biology; Biomass (ecology)","score_opus":0.005762008484964081,"score_gpt":0.19846709665921305,"score_spread":0.19270508817424897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995421242","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":[0.97857887,0.00011640718,0.0000047649137,0.00061683834,0.0002137327,0.00022723325,0.00010406888,0.000018810644,0.020119278],"genre_scores_gemma":[0.9986322,0.00022561096,0.000129562,0.0008702229,0.000009783133,0.000017478738,0.00001315951,0.0000026221219,0.00009936217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991098,0.000062731946,0.00016208665,0.0003011553,0.000061557126,0.00030263572],"domain_scores_gemma":[0.9996793,0.00010654613,0.00008130114,0.00008555596,0.0000067616984,0.00004050444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022795022,0.00013731867,0.00021057967,0.000063589796,0.00014744366,0.000009391875,0.00011570161,0.00013137898,0.0003166379],"category_scores_gemma":[0.000017698801,0.00010991686,0.0000594324,0.0003369799,0.00041963859,0.00009503986,0.00018271814,0.000113303904,0.00013925188],"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":[0.000051305266,0.000048356724,0.997838,0.0000050960875,0.000035455214,0.0000115949315,0.00032102404,0.000035122026,0.0001269982,0.0010599736,0.00010760889,0.0003594255],"study_design_scores_gemma":[0.0005931262,0.00012648028,0.99521834,0.0000076209412,0.00000851,0.000010729087,0.00039939946,0.00044067643,0.00005156565,0.0023910024,0.000620341,0.00013221626],"about_ca_topic_score_codex":0.00015919528,"about_ca_topic_score_gemma":0.010835858,"teacher_disagreement_score":0.020053333,"about_ca_system_score_codex":0.00004331026,"about_ca_system_score_gemma":0.0000049560726,"threshold_uncertainty_score":0.60466635},"labels":[],"label_agreement":null},{"id":"W2998688954","doi":"10.1111/geb.13049","title":"Local climate determines vulnerability to camouflage mismatch in snowshoe hares","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Parks Canada","funders":"U.S. Geological Survey; Division of Environmental Biology; North Carolina State University; University of Montana; U.S. Department of the Interior; Parks Canada; Office of Experimental Program to Stimulate Competitive Research; Southeast Climate Adaptation Science Center, North Carolina State University; National Science Foundation","keywords":"Phenology; Ecology; Snowshoe hare; Geography; Snow; Population; Biology; Habitat","score_opus":0.006895136104632378,"score_gpt":0.23472649181659286,"score_spread":0.22783135571196048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998688954","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":[0.9852377,0.00004599695,0.0000055023656,0.00062877394,0.00020008147,0.00026019805,0.00026708178,0.000033117532,0.013321529],"genre_scores_gemma":[0.9985589,0.00005109136,0.00003428822,0.0012682512,0.0000060047414,0.000023613966,0.00003790006,0.0000027702654,0.000017178481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886936,0.000055332468,0.00017653336,0.00038018136,0.00009784699,0.00042072017],"domain_scores_gemma":[0.99963254,0.000027507269,0.00003274699,0.00016830806,0.0000072587627,0.00013166918],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020044911,0.00013531526,0.0001798066,0.00003826115,0.00008284414,0.000021083888,0.00014710295,0.00013243611,0.013551242],"category_scores_gemma":[0.000014147205,0.00011895891,0.00006269191,0.00047535927,0.00027654794,0.00008008234,0.0002479892,0.00006862732,0.0012385371],"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":[0.0000495987,0.000081645616,0.9964264,0.000010085134,0.000003580561,0.000008042304,0.000028280114,0.0000074504064,0.0002984859,0.00026960275,0.0011337273,0.0016830985],"study_design_scores_gemma":[0.00035102904,0.00013622225,0.98882544,0.0000037887733,0.0000049756195,0.000010724102,0.00040909045,0.000024239598,0.00014952414,0.0002292605,0.0097101815,0.00014553058],"about_ca_topic_score_codex":0.000673718,"about_ca_topic_score_gemma":0.0145031065,"teacher_disagreement_score":0.013829389,"about_ca_system_score_codex":0.00013811214,"about_ca_system_score_gemma":0.000003438571,"threshold_uncertainty_score":0.99953914},"labels":[],"label_agreement":null},{"id":"W3000061174","doi":"10.1111/geb.13060","title":"Spatial variation in climate modifies effects of functional diversity on biomass dynamics in natural forests across Canada","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Ecology; Abiotic component; Biomass (ecology); Context (archaeology); Diversity (politics); Biology; Climate change; Forest dynamics","score_opus":0.0036751103703965607,"score_gpt":0.18852097209424462,"score_spread":0.18484586172384807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000061174","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":[0.9986629,0.000031771375,0.0000354709,0.00061687524,0.00027324804,0.00012801324,0.000101588965,0.0000064085734,0.0001437412],"genre_scores_gemma":[0.9995069,0.000023587445,0.000021118578,0.00040952623,0.0000056739614,0.0000055756186,0.000025956926,0.0000011240181,5.597123e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993332,0.000052436797,0.00012814022,0.00020093448,0.0000841384,0.00020115373],"domain_scores_gemma":[0.999767,0.00009471526,0.00006239866,0.00003589757,0.0000069155985,0.000033081407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008201982,0.00008459821,0.00013589248,0.000019575247,0.00016220288,0.00000284252,0.000066614004,0.00009018723,0.000009686009],"category_scores_gemma":[0.000042057454,0.00008081356,0.000026825686,0.00030649736,0.00020846294,0.00005358704,0.00026450664,0.000083124905,0.0000020688788],"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":[0.00014266299,0.000049005732,0.9980515,0.000021204689,0.00001807736,0.000015106328,0.00010791724,0.0006773698,0.000017168792,0.0006291545,0.000020467964,0.000250312],"study_design_scores_gemma":[0.000625732,0.0001301663,0.98648506,0.000003477636,0.0000068588683,8.822512e-7,0.00006861741,0.011819063,0.000007905577,0.0007778621,0.0000025563202,0.00007178578],"about_ca_topic_score_codex":0.17202409,"about_ca_topic_score_gemma":0.98814654,"teacher_disagreement_score":0.8161224,"about_ca_system_score_codex":0.00016690181,"about_ca_system_score_gemma":0.000010250765,"threshold_uncertainty_score":0.8334895},"labels":[],"label_agreement":null},{"id":"W3003383820","doi":"10.1111/geb.13077","title":"Global gradients in intraspecific variation in vegetative and floral traits are partially associated with climate and species richness","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":97,"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 New Brunswick; University of British Columbia","funders":"","keywords":"Species richness; Abiotic component; Intraspecific competition; Biology; Trait; Ecology; Herbaceous plant; Competition (biology)","score_opus":0.019462949468481594,"score_gpt":0.1889728736269549,"score_spread":0.1695099241584733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003383820","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":[0.99737275,0.0004765953,2.4434806e-7,0.0013210435,0.000021924212,0.00013943091,0.00045276474,0.000021356489,0.00019388858],"genre_scores_gemma":[0.9991393,0.0005394214,0.000012591454,0.0002480035,0.000027937183,0.0000070636943,0.000025037725,2.9667726e-7,3.6645645e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915016,0.00007557516,0.00014252367,0.00029485163,0.00006513498,0.00027178167],"domain_scores_gemma":[0.9997674,0.00005800118,0.00007239961,0.000006045388,0.000022829157,0.000073319534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101235026,0.00013222657,0.00023731323,0.00001256764,0.00013209169,0.000037502585,0.00005130986,0.000101280224,0.000005269811],"category_scores_gemma":[0.000029943996,0.000059365902,0.000019843175,0.00067371427,0.00019814222,0.00008557048,0.00006037757,0.000060863415,6.3337467e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017238069,0.000059701306,0.99766165,0.000005439526,0.00002595692,0.000029856994,0.00014138722,8.2809413e-7,0.00024283126,0.0007328413,0.000016080656,0.00091101846],"study_design_scores_gemma":[0.00048723049,0.00048349416,0.997455,0.000021566148,0.000015229184,0.0000049683827,0.0005235251,0.00002687197,0.0000026049968,0.0007793152,0.00007139643,0.00012881376],"about_ca_topic_score_codex":0.00007588286,"about_ca_topic_score_gemma":0.054110486,"teacher_disagreement_score":0.054034606,"about_ca_system_score_codex":0.0000143732195,"about_ca_system_score_gemma":0.0000027241817,"threshold_uncertainty_score":0.96314955},"labels":[],"label_agreement":null},{"id":"W3003632526","doi":"10.1111/geb.13068","title":"Species richness in North Atlantic fish: Process concealed by pattern","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Species richness; Ecology; Fish <Actinopterygii>; Geography; Fishery; Biology","score_opus":0.008145947605315349,"score_gpt":0.214574196422738,"score_spread":0.20642824881742267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003632526","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":[0.9814877,0.000013528671,0.000008014639,0.0022528535,0.000029957433,0.00015870818,0.00008600747,0.00002090305,0.015942333],"genre_scores_gemma":[0.99724317,0.00012908099,0.0000075051003,0.0025048,0.000017111375,0.000015477248,0.0000570257,0.0000026064874,0.000023208002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990975,0.000041171235,0.0001338926,0.000298135,0.00012312467,0.00030615486],"domain_scores_gemma":[0.99974954,0.000019064333,0.00003106528,0.00006945106,0.000005999567,0.00012487259],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000054022155,0.00010534742,0.00015417363,0.000018105506,0.00007386806,0.00002296473,0.00019429454,0.00007993613,0.0018836004],"category_scores_gemma":[0.00001766605,0.00009066348,0.000032850003,0.00074554404,0.0004141544,0.00008631787,0.00020040477,0.000110754816,0.00003159772],"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":[0.000032404827,0.000045683882,0.99236846,0.00001603598,0.000008952356,0.000030872747,0.0000697677,0.000001341901,0.000009638617,0.0000059891727,0.0053607514,0.002050082],"study_design_scores_gemma":[0.00034501668,0.00014634871,0.97295076,7.51117e-7,0.0000043656014,0.000003859744,0.00009813342,0.000076656856,0.0000075137677,0.000048555306,0.026209531,0.000108515844],"about_ca_topic_score_codex":0.00062113884,"about_ca_topic_score_gemma":0.007366445,"teacher_disagreement_score":0.02084878,"about_ca_system_score_codex":0.000015273057,"about_ca_system_score_gemma":0.0000060733846,"threshold_uncertainty_score":0.9990288},"labels":[],"label_agreement":null},{"id":"W3003996650","doi":"10.1111/geb.13059","title":"Why do several small patches hold more species than few large patches?","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":281,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ephemeral key; Generalist and specialist species; Ecology; Habitat; Invertebrate; Taxon; Biology; Geography","score_opus":0.010063084449460254,"score_gpt":0.20369884986616035,"score_spread":0.1936357654167001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003996650","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":[0.98287386,0.00032882212,0.0000964443,0.010951126,0.00018762627,0.00018173028,0.00020343829,0.0000762456,0.00510069],"genre_scores_gemma":[0.984076,0.00034157708,0.0004316037,0.0150012635,0.000047828376,0.000019413677,0.00003369474,0.000005300436,0.000043270586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874055,0.00007395821,0.00019198497,0.0004547408,0.000095212185,0.0004435336],"domain_scores_gemma":[0.9995755,0.000052852953,0.00008501898,0.00011589532,0.000012360416,0.00015836168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001342069,0.0002099753,0.00025256528,0.000027811706,0.00039586963,0.000026913875,0.00019688024,0.00021626084,0.0005583366],"category_scores_gemma":[0.000032189095,0.00018295615,0.00012663344,0.00041990227,0.0007085791,0.00010491794,0.00037033076,0.0001529907,0.00011424802],"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":[0.000041282194,0.000084720064,0.9915401,0.0000105095705,0.00008294695,0.000024276547,0.00043831338,0.00002669651,0.000031676696,0.0011556845,0.0063945665,0.00016925158],"study_design_scores_gemma":[0.00047485626,0.0002166059,0.98299366,0.0000028233057,0.00004296805,0.000009040077,0.0006618099,0.00018347937,0.00001182609,0.0024131897,0.012775927,0.00021383664],"about_ca_topic_score_codex":0.0001352863,"about_ca_topic_score_gemma":0.0064931717,"teacher_disagreement_score":0.008546438,"about_ca_system_score_codex":0.000027231,"about_ca_system_score_gemma":0.0000068405784,"threshold_uncertainty_score":0.74607354},"labels":[],"label_agreement":null},{"id":"W3006682213","doi":"10.1111/geb.13075","title":"Latitudinal biodiversity gradients at three levels: Linking species richness, population richness and genetic diversity","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Species richness; Body size and species richness; Ecology; Biodiversity; Population; Species diversity; Biology; Genetic diversity; Range (aeronautics); Demography","score_opus":0.0478273561250338,"score_gpt":0.19028744344918447,"score_spread":0.14246008732415066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006682213","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":[0.99726135,0.0006550109,9.85554e-7,0.0011448453,0.0000644606,0.00010167452,0.0005656086,0.00004972533,0.00015633402],"genre_scores_gemma":[0.9991267,0.00033429704,0.000040480834,0.00036775763,0.00007415688,0.0000010012343,0.000051837025,1.8614011e-7,0.000003637089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923337,0.00002913952,0.000098548546,0.00031301915,0.00009920014,0.00022673013],"domain_scores_gemma":[0.99975485,0.00003850791,0.00006435023,0.000012266472,0.00002812384,0.00010191782],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000043976073,0.00013513846,0.00018513102,0.000012066548,0.0014767611,0.000034484117,0.00011588672,0.000109719804,0.000043128402],"category_scores_gemma":[0.000010393202,0.00006464676,0.00006214012,0.00040763215,0.0002003496,0.00007344352,0.00071657577,0.000056847108,0.000008482257],"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":[0.000056957844,0.000020926402,0.9978544,0.000008359646,0.000040161798,0.000017126096,0.000026427006,2.2299415e-7,0.00041521757,0.00009387682,0.00026814066,0.0011981664],"study_design_scores_gemma":[0.00016686851,0.00020556586,0.9973151,0.000004204994,0.000048638638,0.000010103809,0.00006644034,0.000008342334,0.000007541002,0.00076017756,0.0012605169,0.00014651353],"about_ca_topic_score_codex":0.00036242732,"about_ca_topic_score_gemma":0.007742876,"teacher_disagreement_score":0.0073804487,"about_ca_system_score_codex":0.0000141307255,"about_ca_system_score_gemma":0.000001013402,"threshold_uncertainty_score":0.99982315},"labels":[],"label_agreement":null},{"id":"W3010334922","doi":"10.1111/geb.13081","title":"The role of northern peatlands in the global carbon cycle for the 21st century","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":106,"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":"Peat; Carbon sink; Environmental science; Sink (geography); Northern Hemisphere; Climate change; Boreal; Carbon cycle; Climatology; Physical geography; Bog; Vegetation (pathology); Ecology; Atmospheric sciences; Ecosystem; Geography; Geology; Biology","score_opus":0.003728153870578806,"score_gpt":0.19545674479351557,"score_spread":0.19172859092293676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010334922","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":[0.9793234,0.0016213284,0.0000018935874,0.006287951,0.000111872876,0.00037616963,0.000118741365,0.000010694584,0.012147936],"genre_scores_gemma":[0.99806076,0.00073905115,0.000011072581,0.0010767281,0.000048952337,0.000043572865,0.000016816879,0.0000021857186,8.4245266e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909794,0.00009130329,0.00017577116,0.00021710742,0.000099217985,0.0003186831],"domain_scores_gemma":[0.999531,0.00019200292,0.000074911375,0.00014274906,0.0000076978995,0.000051695504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027903018,0.00011510306,0.00014120841,0.0000070668298,0.00027489653,0.000019223675,0.000416748,0.00010234447,0.000015755208],"category_scores_gemma":[0.000030969088,0.000053195778,0.00009937417,0.00038924752,0.00051732815,0.000023580737,0.0001443862,0.000083647355,0.0000028156296],"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":[0.00010308555,0.000039396396,0.9896754,0.0000019474232,0.000028687547,0.0000017444063,0.00012897658,0.000026898104,0.000012996169,0.0016025235,0.00011241651,0.008265933],"study_design_scores_gemma":[0.0004557373,0.0002860295,0.94473684,9.615703e-7,0.00003368532,0.000010311173,0.0011836201,0.00047211826,0.0000046758823,0.0051256316,0.04761884,0.000071528826],"about_ca_topic_score_codex":0.0010266316,"about_ca_topic_score_gemma":0.025845174,"teacher_disagreement_score":0.047506426,"about_ca_system_score_codex":0.000022404844,"about_ca_system_score_gemma":0.000010041184,"threshold_uncertainty_score":0.9919306},"labels":[],"label_agreement":null},{"id":"W3011123086","doi":"10.1111/geb.13092","title":"Dominant native and non‐native graminoids differ in key leaf traits irrespective of nutrient availability","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","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":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council; Irish Research Council; University of Manchester; Australian Government; Lancaster University; National Science Foundation","keywords":"Forb; Biology; Nutrient; Native plant; Ecology; Introduced species; Invasive species; Graminoid; Specific leaf area; Plant ecology; Ecosystem; Edaphic; Grassland; Botany; Soil water; Photosynthesis","score_opus":0.005911867159242103,"score_gpt":0.2167090234446988,"score_spread":0.2107971562854567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011123086","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":[0.9957528,0.00016659405,0.00006446337,0.0010914794,0.000053782336,0.00033562005,0.000114855124,0.000008554056,0.0024118177],"genre_scores_gemma":[0.99913186,0.0001876392,0.00019883947,0.00043513294,0.0000059459803,0.000028605622,0.000004438086,0.0000021926144,0.0000053267536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989419,0.00011825135,0.00022821594,0.00040759897,0.000081149396,0.00022287542],"domain_scores_gemma":[0.9996041,0.00014099713,0.00009923286,0.000051988303,0.000021698243,0.00008194927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017914032,0.0001473736,0.00029051132,0.00004498858,0.00012774995,0.0000045313877,0.000087425215,0.00013904151,0.000071930066],"category_scores_gemma":[0.0000981964,0.00012365944,0.000054209027,0.00048374885,0.0015815755,0.00008143385,0.00019899335,0.00012982257,0.0000068345867],"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":[0.00017698231,0.00018151343,0.9950699,0.00001215335,0.00005718332,0.000007320588,0.0019911493,0.000008405198,0.0001879613,0.0018102515,0.000081150436,0.0004160318],"study_design_scores_gemma":[0.0009493306,0.000556532,0.9868359,0.0000036808703,0.000025071,0.0000025635793,0.0008322846,0.0002490468,0.00015910804,0.010203554,0.00006242549,0.0001204783],"about_ca_topic_score_codex":0.00012562498,"about_ca_topic_score_gemma":0.0043836334,"teacher_disagreement_score":0.008393303,"about_ca_system_score_codex":0.00004824246,"about_ca_system_score_gemma":0.000008949754,"threshold_uncertainty_score":0.5827381},"labels":[],"label_agreement":null},{"id":"W3011573658","doi":"10.1111/geb.13086","title":"Assessing the reliability of predicted plant trait distributions at the global scale","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Horizon 2020 Framework Programme; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Russian Science Foundation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fundação de Amparo à Pesquisa do Estado de São Paulo; H2020 European Research Council; Ministerio de Ciencia, Innovación y Universidades","keywords":"Trait; Ecology; Plant community; Scale (ratio); Statistics; Environmental science; Biology; Geography; Mathematics; Computer science; Ecological succession; Cartography","score_opus":0.01412088179207642,"score_gpt":0.2446935776457921,"score_spread":0.2305726958537157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011573658","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":[0.97302186,0.00008251434,0.00003378925,0.0103808595,0.000091818234,0.00017614246,0.009220032,0.00003104002,0.006961935],"genre_scores_gemma":[0.9986499,0.000049449576,0.000014039924,0.00096863764,0.000013353554,0.000011173215,0.0002903982,0.0000011073593,0.0000019223846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991351,0.000099085904,0.00017376538,0.00023061654,0.00013700727,0.000224422],"domain_scores_gemma":[0.9996138,0.000050468563,0.00007966517,0.00014616766,0.000012377899,0.00009750653],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016687898,0.000098039025,0.00011840988,0.0000029278895,0.00042778885,0.000027173035,0.00021049065,0.00009161056,0.004420006],"category_scores_gemma":[0.00005352997,0.00005480963,0.00010215114,0.0005827457,0.0014934716,0.00007038573,0.0002823739,0.00007168761,0.00003105584],"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":[0.000025563559,0.000055245357,0.9898307,0.0000037911832,0.000012432883,0.0000010074126,0.000027180073,0.0000037314114,0.00007366494,0.0007405474,0.008971359,0.00025478122],"study_design_scores_gemma":[0.00019610974,0.00007218227,0.9774215,0.0000014831238,0.000038426246,0.000013398842,0.0005768562,0.00004659098,0.00006399196,0.00052965264,0.020980073,0.0000597108],"about_ca_topic_score_codex":0.00024639856,"about_ca_topic_score_gemma":0.0014683453,"teacher_disagreement_score":0.025628049,"about_ca_system_score_codex":0.00013992241,"about_ca_system_score_gemma":0.0000084641715,"threshold_uncertainty_score":0.99649006},"labels":[],"label_agreement":null},{"id":"W3013435873","doi":"10.1111/geb.13082","title":"A conceptual map of invasion biology: Integrating hypotheses into a consensus network","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Conservation, Ecology, Wildlife Education","field":"Environmental Science","cited_by":255,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Ministerio de Ciencia e Innovación; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia, Innovación y Universidades; Stiftung der Deutschen Wirtschaft; Grantová Agentura České Republiky; Natural Environment Research Council; Akademie Věd České Republiky; Austrian Science Fund; Agence Nationale de la Recherche; South African Agency for Science and Technology Advancement; Deutsche Forschungsgemeinschaft","keywords":"Field (mathematics); Ecology; Biology; Resource (disambiguation); Cluster analysis; Propagule pressure; Conceptual framework; Data science; Epistemology; Computer science; Sociology; Biological dispersal; Artificial intelligence","score_opus":0.017523918839090498,"score_gpt":0.23923816815863927,"score_spread":0.22171424931954878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013435873","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":[0.98897636,0.0002585861,0.00005524131,0.009525993,0.00028967674,0.00022930518,0.000029566709,0.000040438063,0.0005948309],"genre_scores_gemma":[0.9909103,0.000029399152,0.0049038874,0.004042298,0.00007093018,0.000016956132,0.00001941696,0.0000037654218,0.0000030339909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887276,0.00017918814,0.00029358966,0.0003445427,0.000058536767,0.00025136277],"domain_scores_gemma":[0.99931395,0.0002606404,0.00018093546,0.000107179716,0.000022467502,0.000114811635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022088029,0.00013697961,0.00022627867,0.00002590502,0.00016655774,0.000007735802,0.00015323645,0.00018995981,0.00049146987],"category_scores_gemma":[0.0002728966,0.00012393507,0.0000644762,0.00047737485,0.0015702136,0.000049064372,0.00018842355,0.000099916055,0.00005991069],"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":[0.000049857143,0.000036364465,0.98637664,0.000005717455,0.000030488321,0.000001287266,0.0003146656,0.00001939881,0.0007447476,0.0028805414,0.008258605,0.0012816648],"study_design_scores_gemma":[0.00031131864,0.0004056204,0.9767957,0.0000065819086,0.000027357813,0.0000064716146,0.00079396716,0.00013164965,0.000054296528,0.009552353,0.011786185,0.00012851613],"about_ca_topic_score_codex":0.00059392717,"about_ca_topic_score_gemma":0.001980039,"teacher_disagreement_score":0.009580979,"about_ca_system_score_codex":0.000034544228,"about_ca_system_score_gemma":0.000036347818,"threshold_uncertainty_score":0.57855177},"labels":[],"label_agreement":null},{"id":"W3014477377","doi":"10.1111/geb.13094","title":"Climate and local environment structure asynchrony and the stability of primary production in grasslands","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":74,"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 Guelph; Carleton University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute for Environmental Studies; National Science Foundation","keywords":"Asynchrony (computer programming); Primary production; Ecology; Environmental science; Species richness; Ecosystem; Biomass (ecology); Climate change; Precipitation; Productivity; Spatial variability; Atmospheric sciences; Biology; Geography; Mathematics","score_opus":0.005769625885794862,"score_gpt":0.1883976230112894,"score_spread":0.18262799712549455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014477377","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":[0.9971051,0.0005819488,0.000004755766,0.0017842745,0.000033505356,0.0002292446,0.00005073869,0.000006723467,0.00020365919],"genre_scores_gemma":[0.9984031,0.0011764943,0.00009012569,0.00030761916,0.0000074664513,0.000008766375,0.000004667512,0.0000014608296,2.9764874e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992313,0.000091746864,0.00015238966,0.00029732083,0.000060052815,0.00016720717],"domain_scores_gemma":[0.99980384,0.000031290096,0.000056821482,0.0000615749,0.0000023284367,0.00004414943],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00019283526,0.00010225095,0.00020734656,0.000010740344,0.00013484656,0.0000037389698,0.000051509236,0.0001015644,0.00009186461],"category_scores_gemma":[0.000012730888,0.000066571396,0.000025319026,0.00012598182,0.0029063977,0.0000529253,0.00027931388,0.00009921544,0.0000013550155],"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":[0.00029474875,0.00003825289,0.99462664,0.000018192552,0.000012500422,0.0000021040182,0.00015183422,0.0000041473563,0.0004081031,0.000121815574,0.000029848581,0.004291786],"study_design_scores_gemma":[0.00065607374,0.0002524869,0.99772763,0.0000016962655,0.000039789382,0.00001047542,0.00023165502,0.000018034654,0.000147021,0.0007429413,0.000103887265,0.000068294205],"about_ca_topic_score_codex":0.000092498056,"about_ca_topic_score_gemma":0.000911431,"teacher_disagreement_score":0.0042234915,"about_ca_system_score_codex":0.000022319004,"about_ca_system_score_gemma":0.0000028467393,"threshold_uncertainty_score":0.9998071},"labels":[],"label_agreement":null},{"id":"W3014926881","doi":"10.1111/geb.13098","title":"Dos and don'ts when inferring assembly rules from diversity patterns","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":149,"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; McGill University","funders":"FP7 Ideas: European Research Council; Agence Nationale de la Recherche; Government of Canada","keywords":"Diversity (politics); Ecology; Computer science; Data science; Trophic level; Temporal scales; Biology; Sociology","score_opus":0.008824224405110753,"score_gpt":0.19887193645489548,"score_spread":0.19004771204978474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014926881","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":[0.9964046,0.00016976705,0.00008824624,0.0018715792,0.00008944254,0.000089180816,0.00017588025,0.000037088404,0.0010742329],"genre_scores_gemma":[0.9967435,0.00030029853,0.000405906,0.0025047222,0.000016513743,0.000004011276,0.000020485186,0.0000017849962,0.0000027899123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993004,0.000047264977,0.00009866019,0.00030473832,0.000060050665,0.00018888181],"domain_scores_gemma":[0.99972934,0.000055415367,0.000048158494,0.00005508502,0.0000053638696,0.000106670595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048947808,0.00011138721,0.00014613595,0.000016090211,0.00045321588,0.000014886289,0.00010409646,0.00012267887,0.00025047222],"category_scores_gemma":[0.000017959623,0.000103066865,0.00003912139,0.00008583197,0.00033221545,0.00011298309,0.0008850991,0.000081741586,0.000045115426],"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":[0.000016794549,0.000022166161,0.9979725,0.000004217133,0.00006434031,0.0000112351445,0.00032323546,0.0000052793666,0.00002229502,0.00024465012,0.00022400064,0.0010893181],"study_design_scores_gemma":[0.00033294043,0.00008672014,0.99291784,0.0000021300036,0.000041189698,0.0000023484695,0.0001236311,0.00026983407,0.0000053763038,0.005817401,0.00028633827,0.000114254086],"about_ca_topic_score_codex":0.00095751317,"about_ca_topic_score_gemma":0.0061330656,"teacher_disagreement_score":0.005572751,"about_ca_system_score_codex":0.000014530141,"about_ca_system_score_gemma":0.0000022235795,"threshold_uncertainty_score":0.4202945},"labels":[],"label_agreement":null},{"id":"W3015131332","doi":"10.1111/geb.13101","title":"Latitudinal gradients and ecological drivers of β‐diversity vary across spatial scales in a temperate forest region","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Latitude; Temperate climate; Null model; Ecology; Spatial ecology; Spatial variability; Macroecology; Environmental science; Temperate rainforest; Temperate forest; Abundance (ecology); Physical geography; Precipitation; Geography; Common spatial pattern; Diversity (politics); Spatial distribution; Ecosystem; Biodiversity; Biology; Statistics; Mathematics","score_opus":0.012781757167569891,"score_gpt":0.22471414709814802,"score_spread":0.21193238993057814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015131332","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":[0.99858767,0.000046285226,0.000025375039,0.00077088317,0.000058577476,0.00012757764,0.00003621269,0.00001182702,0.00033556847],"genre_scores_gemma":[0.9991266,0.0002720418,0.00013226739,0.0004506298,0.000006116099,0.000003917692,0.000006147193,0.0000010928767,0.000001157769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927217,0.00006231295,0.00013573765,0.0002695254,0.000055273875,0.00020496147],"domain_scores_gemma":[0.99977374,0.00004032816,0.000065262946,0.000038794034,0.000008001427,0.00007386207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009590936,0.00009665423,0.00018150735,0.000020459991,0.00029799904,0.0000045123747,0.000084540145,0.00013770453,0.000019333213],"category_scores_gemma":[0.000027966345,0.00008589556,0.00003953521,0.00023914866,0.0011328249,0.00007982931,0.0005622458,0.00008246595,0.0000056139493],"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":[0.00008919354,0.0000798476,0.9986447,0.000008334359,0.000027397475,0.000026369118,0.00030033474,0.00007556413,0.000011164038,0.00044357456,0.00006632301,0.0002271797],"study_design_scores_gemma":[0.00066609203,0.00036086462,0.995841,0.000002294334,0.000014626265,0.000008287296,0.00018491365,0.0004335518,0.0000022292563,0.0023800805,0.00002298728,0.000083029605],"about_ca_topic_score_codex":0.00032489997,"about_ca_topic_score_gemma":0.03213336,"teacher_disagreement_score":0.03180846,"about_ca_system_score_codex":0.000021318348,"about_ca_system_score_gemma":0.0000028729094,"threshold_uncertainty_score":0.9855277},"labels":[],"label_agreement":null},{"id":"W3015926197","doi":"10.1111/geb.13096","title":"Interaction of diet and habitat predicts <i>Toxoplasma gondii</i> infection rates in wild birds at a global scale","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Toxoplasma gondii Research Studies","field":"Immunology and Microbiology","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada","keywords":"Biology; Trophic level; Toxoplasma gondii; Ecology; Habitat; Foraging; Zoology; Wildlife; Toxoplasmosis; Insectivore; Omnivore; Predation","score_opus":0.00836289335496804,"score_gpt":0.24932829059024467,"score_spread":0.24096539723527663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015926197","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":[0.9942431,0.0018787067,0.0000040580285,0.0019048674,0.00038330242,0.00032733596,0.0004974732,0.00006718491,0.00069401256],"genre_scores_gemma":[0.997768,0.0016496928,0.000044832977,0.00039465944,0.000018561215,0.000034345976,0.000075422155,0.0000049713503,0.000009549285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853444,0.00024062229,0.00032197082,0.00044287424,0.000043169086,0.0004169456],"domain_scores_gemma":[0.99951106,0.00012490177,0.00012975931,0.0001002592,0.00006500469,0.00006902208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001625069,0.00021969054,0.00041137938,0.00012345202,0.00018711986,0.000012324001,0.00009242973,0.0003758928,0.000034784585],"category_scores_gemma":[0.00011417101,0.00019559124,0.000093388575,0.0006756275,0.0009951286,0.00014195252,0.0003645785,0.00022964967,0.000033487162],"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":[0.0017174096,0.00013347687,0.98796785,0.00007410619,0.00023293341,0.000008322047,0.00013887546,0.00000255844,0.0055618505,0.00013598218,0.002875499,0.0011511411],"study_design_scores_gemma":[0.0019783298,0.0019110609,0.98576057,0.00002922428,0.00005225872,0.00011767634,0.00013609174,0.000012382748,0.0037164702,0.00039847958,0.0057247323,0.00016272871],"about_ca_topic_score_codex":0.00034997243,"about_ca_topic_score_gemma":0.009450431,"teacher_disagreement_score":0.009100459,"about_ca_system_score_codex":0.00006206299,"about_ca_system_score_gemma":0.000026708576,"threshold_uncertainty_score":0.79759794},"labels":[],"label_agreement":null},{"id":"W3016893566","doi":"10.1111/geb.13080","title":"Improved β‐diversity estimators based on multiple‐site dissimilarity: Distinguishing the sample from the population","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Works and Government Services Canada; Natural Resources Canada; Canadian Forest Service","funders":"AgroParisTech","keywords":"Estimator; Statistics; Nestedness; Sample (material); Diversity (politics); Sample size determination; Population; Diversity index; Mathematics; Econometrics; Ecology; Biology; Biodiversity; Demography; Species richness; Sociology","score_opus":0.04456418420825236,"score_gpt":0.198522805509489,"score_spread":0.15395862130123664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016893566","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":[0.9893911,0.00014694396,0.0009795293,0.0067799482,0.00021223984,0.00020187625,0.002013582,0.000027039481,0.0002477673],"genre_scores_gemma":[0.9934432,0.000023581833,0.00041433665,0.005735583,0.00007175808,0.0000069657326,0.0002998123,0.000004077035,6.878651e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924815,0.00003424906,0.00021408539,0.00032208135,0.000022290984,0.00015912304],"domain_scores_gemma":[0.9992854,0.00032756827,0.00017195694,0.00014949156,0.000004271183,0.00006129893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023529808,0.00011412093,0.00016492937,0.000018695138,0.0006342379,0.000052034196,0.00016587236,0.00009539258,0.000097505086],"category_scores_gemma":[0.00031328332,0.000087003464,0.00009933895,0.00013171675,0.0001283725,0.00007986422,0.00015684777,0.00011044133,0.000028625414],"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":[0.00003113282,0.000022266297,0.99684316,0.0000020677023,0.000028509403,3.5818667e-7,0.00008551525,0.00020526719,6.9555705e-7,0.0021749267,0.00019226606,0.00041383007],"study_design_scores_gemma":[0.00039671102,0.000063409076,0.9450889,0.0000020304456,0.000017712848,1.6801529e-7,0.000048352013,0.046628203,0.0000011639669,0.0068962653,0.00075550773,0.000101554586],"about_ca_topic_score_codex":0.005736727,"about_ca_topic_score_gemma":0.0009210859,"teacher_disagreement_score":0.051754244,"about_ca_system_score_codex":0.00004095927,"about_ca_system_score_gemma":0.0000030510473,"threshold_uncertainty_score":0.86722535},"labels":[],"label_agreement":null},{"id":"W3021317489","doi":"10.1111/geb.13106","title":"Thermal tolerances and species interactions determine the elevational distributions of insects","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Agence Nationale de la Recherche","keywords":"Abiotic component; Ecology; Abundance (ecology); Biology; Taxon; Predation; Relative species abundance; Microclimate; Climate change; Rainforest","score_opus":0.01845077889336508,"score_gpt":0.22623701989496978,"score_spread":0.2077862410016047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021317489","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":[0.9878778,0.00011792836,0.000018712419,0.0054806503,0.00006345647,0.000073954,0.00063021184,0.000012033328,0.0057252673],"genre_scores_gemma":[0.99892324,0.000106783664,0.00002061233,0.0008637168,0.000018810522,0.000007673966,0.00005285824,8.681192e-7,0.0000054169022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958235,0.000024263978,0.000101331134,0.00012312701,0.00006163483,0.00010726675],"domain_scores_gemma":[0.99980575,0.000040116392,0.000047934416,0.00004533439,0.000009436635,0.000051409577],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003870174,0.00006274478,0.0000765226,0.000007495041,0.0001757798,0.0000132787345,0.00007213968,0.0000315398,0.0047133933],"category_scores_gemma":[0.0000232353,0.000043406315,0.00003742416,0.00025652203,0.0006475836,0.00006672695,0.00009804537,0.000045849654,0.000018132852],"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":[0.00002334363,0.0000342131,0.99062216,0.0000031281477,0.000015536149,8.795975e-7,0.000056510467,0.0000019110441,0.0018625002,0.0049727913,0.0016997793,0.00070722215],"study_design_scores_gemma":[0.00014415449,0.000071418326,0.97789115,0.000001153253,0.000013172535,0.000006219558,0.00031188704,0.000036752375,0.00022793205,0.0002078593,0.021041607,0.00004672428],"about_ca_topic_score_codex":0.000049339134,"about_ca_topic_score_gemma":0.00042207094,"teacher_disagreement_score":0.019341828,"about_ca_system_score_codex":0.000017023403,"about_ca_system_score_gemma":0.0000031544016,"threshold_uncertainty_score":0.99619645},"labels":[],"label_agreement":null},{"id":"W3038027092","doi":"10.1111/geb.13158","title":"Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":57,"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 Lethbridge","funders":"Natural Environment Research Council; U.S. Forest Service; Agence Nationale Des Parcs Nationaux; University of Stirling; Smithsonian Tropical Research Institute; National Geographic Society; NASA Headquarters; Empresa Brasileira de Pesquisa Agropecuária; National Science Foundation; European Space Agency; HSBC Bank USA; McGill University; Nuclear Safety and Security Commission; Gordon and Betty Moore Foundation; United States Agency for International Development; Smithsonian Institution; U.S. Department of State; Universität Zürich; National Aeronautics and Space Administration","keywords":"Species richness; Ecology; Geography; Canopy; Tropics; Biodiversity; Lidar; Spatial ecology; Physical geography; Biology; Remote sensing","score_opus":0.020269754373140145,"score_gpt":0.2586823628475655,"score_spread":0.23841260847442536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038027092","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":[0.9924326,0.00011399669,0.0016492794,0.003913591,0.00015964058,0.00027617338,0.000041689276,0.000018324548,0.0013947078],"genre_scores_gemma":[0.99673146,0.00005873983,0.0022812383,0.00082983775,0.000047195,0.000029194385,0.000008254193,0.0000023508494,0.00001174114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919444,0.000058188958,0.00020687164,0.00022763932,0.000092593626,0.0002202849],"domain_scores_gemma":[0.9996563,0.00010254084,0.00010774738,0.00007089509,0.000019637693,0.000042838197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017243162,0.00010288201,0.00017477163,0.000017259059,0.00036872638,0.000008783787,0.00015135012,0.00010171469,0.000103642844],"category_scores_gemma":[0.000085178035,0.00007104287,0.00010893963,0.00028286965,0.00074678875,0.00004999515,0.00019222584,0.000071826675,0.0000135188675],"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":[0.000105770036,0.000036760575,0.99273473,0.000015317784,0.00007597604,0.0000013289431,0.00014519645,0.000080096004,0.0012553593,0.0021721118,0.00013906338,0.0032382926],"study_design_scores_gemma":[0.00042734656,0.00065046235,0.9898558,0.0000019323813,0.000054684613,0.0000069879798,0.00043245903,0.002961363,0.000020250953,0.0050977864,0.00040876403,0.00008216652],"about_ca_topic_score_codex":0.000010752818,"about_ca_topic_score_gemma":0.0003656768,"teacher_disagreement_score":0.0042988514,"about_ca_system_score_codex":0.000015668345,"about_ca_system_score_gemma":0.0000073543524,"threshold_uncertainty_score":0.28970444},"labels":[],"label_agreement":null},{"id":"W3038804346","doi":"10.1111/geb.13123","title":"The global abundance of tree palms","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":126,"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":"H2020 European Research Council; Natural Environment Research Council; Agence Nationale Des Parcs Nationaux; H2020 Marie Skłodowska-Curie Actions; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Instituto Nacional de Pesquisas da Amazônia; European Commission; Danmarks Frie Forskningsfond; Royal Society; Vetenskapsrådet; Villum Fonden; Sight Research UK; David and Lucile Packard Foundation; Wildlife Conservation Society; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Natur og Univers, Det Frie Forskningsråd; Gordon and Betty Moore Foundation; Smithsonian Tropical Research Institute; National Geographic Society; Smithsonian Institution","keywords":"Palm; Ecology; Abundance (ecology); Tree (set theory); Geography; Biology; Mathematics","score_opus":0.010342220118675373,"score_gpt":0.1984770623048376,"score_spread":0.18813484218616225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038804346","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":[0.9816337,0.0018950976,7.538181e-7,0.0135907335,0.00012508122,0.00010220364,0.00019574055,0.000033311917,0.002423349],"genre_scores_gemma":[0.99799734,0.00052477594,0.00002854666,0.0013601759,0.00007132363,0.00000800436,0.000005246008,1.725337e-7,0.000004387408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992077,0.000059898925,0.00017028826,0.0002219905,0.00006554201,0.0002745768],"domain_scores_gemma":[0.9996092,0.00014031888,0.00008939261,0.000031679177,0.000039402785,0.000090043504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101574726,0.000109563705,0.00018631434,0.0000018958486,0.00045351524,0.000013157667,0.00021455427,0.00010923301,0.000029522722],"category_scores_gemma":[0.00005445944,0.000036046007,0.000106066465,0.0005399192,0.00075858686,0.00003189264,0.00013193068,0.00005232895,0.000009509998],"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":[0.00007483209,0.000025957435,0.9788549,0.0000021102346,0.000060880266,0.0000029851299,0.000013714511,1.6972916e-7,0.00023798861,0.0036538688,0.0010471392,0.016025467],"study_design_scores_gemma":[0.00011199476,0.0005301336,0.9672682,0.0000013299509,0.0000202595,0.0000053229373,0.00040840215,0.000004750368,0.00001689244,0.004324434,0.027230492,0.000077749224],"about_ca_topic_score_codex":0.00006883236,"about_ca_topic_score_gemma":0.0047212318,"teacher_disagreement_score":0.026183352,"about_ca_system_score_codex":0.0000073124456,"about_ca_system_score_gemma":0.0000049120445,"threshold_uncertainty_score":0.34881184},"labels":[],"label_agreement":null},{"id":"W3039055374","doi":"10.1111/geb.13145","title":"Carbon accumulation in agroforestry systems is affected by tree species diversity, age and regional climate: A global meta‐analysis","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest ecology and management","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Alberta","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Agroforestry; Biomass (ecology); Carbon sequestration; Temperate climate; Pasture; Carbon stock; Environmental science; Climate change mitigation; Soil carbon; Climate change; Stock (firearms); Ecosystem; Tropics; Agronomy; Ecology; Geography; Biology; Soil water; Carbon dioxide","score_opus":0.024905290789403223,"score_gpt":0.23337342319350715,"score_spread":0.20846813240410392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039055374","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":[0.9942953,0.00076714624,0.000021117223,0.0014324978,0.00005747977,0.00027096353,0.00019779934,0.000036466663,0.0029212437],"genre_scores_gemma":[0.9983426,0.00030533806,0.000044334087,0.0011979254,0.000009432049,0.000013680797,0.00007379825,0.0000018278104,0.00001108144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881154,0.00011682052,0.00017186464,0.00045032596,0.00013754124,0.00031193416],"domain_scores_gemma":[0.99966484,0.00002642901,0.00008481373,0.00009780414,0.0000049759074,0.00012114806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015221087,0.00016902827,0.0003821039,0.00005651693,0.00019878955,0.000027552334,0.00014758557,0.00019455771,0.00015447052],"category_scores_gemma":[0.0000073818896,0.00015053245,0.00016388707,0.001069538,0.00045837686,0.00009937395,0.00070691627,0.00007344113,0.000009645352],"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":[0.000077374396,0.000067332236,0.99260205,0.000015249886,0.0032217784,0.00005363249,0.000054621254,0.0001560651,0.000006524208,0.0014884718,0.0022207808,0.00003610355],"study_design_scores_gemma":[0.0004156249,0.00014011988,0.9913976,8.325565e-7,0.0051178727,0.0000037190257,0.00009744759,0.0011771459,9.578102e-7,0.001002311,0.000502791,0.000143566],"about_ca_topic_score_codex":0.00238669,"about_ca_topic_score_gemma":0.012877569,"teacher_disagreement_score":0.0104908785,"about_ca_system_score_codex":0.00005220833,"about_ca_system_score_gemma":0.0000027465653,"threshold_uncertainty_score":0.71859854},"labels":[],"label_agreement":null},{"id":"W3039800037","doi":"10.1111/geb.13137","title":"Species loss drives ecosystem function in experiments, but in nature the importance of species loss depends on dominance","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Food and Agriculture; Gordon and Betty Moore Foundation; Conservation International; Wildlife Conservation Society; Division of Environmental Biology; Missouri Botanical Garden; Division of Ocean Sciences; Smithsonian Institution","keywords":"Dominance (genetics); Ecology; Ecosystem; Species richness; Biodiversity; Biology","score_opus":0.0060718773334612975,"score_gpt":0.21317337446979653,"score_spread":0.20710149713633524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039800037","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":[0.9929236,0.00076030975,0.0000063174875,0.0022268326,0.0002056009,0.00019974505,0.00006537962,0.000010749186,0.003601425],"genre_scores_gemma":[0.99806464,0.00053480006,0.000040435818,0.0012805847,0.000018531504,0.000026053383,0.0000075408184,0.0000026183031,0.000024795161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990066,0.00008992631,0.00025846995,0.00032094674,0.00009789502,0.00022613193],"domain_scores_gemma":[0.9996405,0.000081247184,0.00013033922,0.000106090985,0.000008226875,0.00003355235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015831258,0.00014076354,0.00022909095,0.00004301619,0.00012333377,0.000007142137,0.00016653031,0.00019253866,0.00012706062],"category_scores_gemma":[0.000032953663,0.00010420423,0.000059552473,0.00051371893,0.00057630625,0.00008648714,0.00013512984,0.00020100623,0.000015128882],"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":[0.00017040652,0.00007806212,0.99247634,0.000009702726,0.000024535246,0.000023148268,0.00022683626,0.0001292321,0.000135466,0.006451527,0.00018887813,0.00008583814],"study_design_scores_gemma":[0.0005007096,0.00023206389,0.995611,0.000009104776,0.000008390905,0.000004901013,0.0007437908,0.00006329379,0.00016770065,0.0013869923,0.0011709647,0.00010104814],"about_ca_topic_score_codex":0.00003322962,"about_ca_topic_score_gemma":0.016382026,"teacher_disagreement_score":0.016348796,"about_ca_system_score_codex":0.000048886257,"about_ca_system_score_gemma":0.0000061282276,"threshold_uncertainty_score":0.9141555},"labels":[],"label_agreement":null},{"id":"W3042282838","doi":"10.1111/geb.13152","title":"Plant community dynamics and carbon sequestration in <i>Sphagnum</i>‐dominated peatlands in the era of global change","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","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":"Wilfrid Laurier University","funders":"","keywords":"Sphagnum; Peat; Ecology; Global change; Vascular plant; Carbon sequestration; Carbon sink; Plant community; Environmental science; Dominance (genetics); Climate change; Biology; Ecological succession; Species richness; Carbon dioxide","score_opus":0.010977781156159659,"score_gpt":0.21874995498490382,"score_spread":0.20777217382874416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042282838","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":[0.9953785,0.0001243325,0.0000013647865,0.002199524,0.00003541303,0.00022288242,0.00020574903,0.000009193838,0.001823075],"genre_scores_gemma":[0.99837005,0.00022222518,0.000024463061,0.0011991063,0.000011028506,0.000018038201,0.00015341614,0.0000014774357,1.8838799e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990535,0.00028525357,0.00019704846,0.00017534188,0.00006932318,0.00021957095],"domain_scores_gemma":[0.9997262,0.000058760626,0.00006519701,0.000089679634,0.0000040964383,0.000056088447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003325607,0.00011606955,0.00020149816,0.000016437369,0.00007425202,0.000010010254,0.00015737335,0.0001596875,0.000011725069],"category_scores_gemma":[0.000017765482,0.00008616972,0.000026301954,0.0005249005,0.00033316514,0.000060017555,0.00012824018,0.00022317351,5.8446824e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010687208,0.000093528724,0.9978463,0.000010316515,0.0000071321347,0.000026529835,0.00034502355,0.0000027806163,0.00001786292,0.000410536,0.000037230635,0.0010958698],"study_design_scores_gemma":[0.0008254195,0.00048633484,0.9954472,0.000005924121,0.000013424697,0.000030994815,0.00032671346,0.0017175069,0.0000036953172,0.001012233,0.000043678607,0.00008687383],"about_ca_topic_score_codex":0.009095626,"about_ca_topic_score_gemma":0.106174916,"teacher_disagreement_score":0.097079284,"about_ca_system_score_codex":0.000046589354,"about_ca_system_score_gemma":0.0000071900013,"threshold_uncertainty_score":0.99750286},"labels":[],"label_agreement":null},{"id":"W3047042290","doi":"10.1111/geb.13156","title":"Methods and approaches to advance soil macroecology","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"FP7 People: Marie-Curie Actions; H2020 Marie Skłodowska-Curie Actions; Academy of Finland; Horizon 2020 Framework Programme; Natural Environment Research Council; Royal Entomological Society; Science Foundation Ireland; British Ecological Society; Sight Research UK; Ecological Society of America; Seventh Framework Programme; Department for the Economy","keywords":"Macroecology; Ecology; Biodiversity; Temporal scales; Ecosystem; Soil biology; Environmental science; Biology; Soil water","score_opus":0.0411563811090499,"score_gpt":0.24157671360956628,"score_spread":0.20042033250051638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047042290","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":[0.9629704,0.00077015674,0.000010043874,0.035111863,0.00013383961,0.00019175909,0.00014617518,0.000061003313,0.0006047696],"genre_scores_gemma":[0.98622423,0.000229247,0.003353763,0.010076885,0.00007065433,0.00001538348,0.000019482977,3.3200905e-7,0.000009994743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989487,0.00012776196,0.00012199204,0.00043707583,0.00003947316,0.00032500824],"domain_scores_gemma":[0.9995612,0.00014016326,0.00004289463,0.000027157408,0.000020855987,0.00020772564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605502,0.00015044668,0.00024866787,0.000012339982,0.0004079825,0.000017867642,0.00014443559,0.00019190095,0.00007120271],"category_scores_gemma":[0.00006513742,0.0000672602,0.00006217904,0.00042802742,0.00043016317,0.00005440174,0.00034699237,0.00009064506,0.000027765289],"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":[0.00011172076,0.000039452374,0.94129914,0.000007741823,0.000062285726,0.0000115901075,0.00006149896,8.653127e-7,0.00048525014,0.0017081804,0.0019844421,0.054227807],"study_design_scores_gemma":[0.00015980122,0.0010223875,0.9527138,0.0000011569716,0.000029812985,0.000019856046,0.00034507664,0.000010521896,0.00008944207,0.0019056065,0.043548513,0.00015404883],"about_ca_topic_score_codex":0.000051071944,"about_ca_topic_score_gemma":0.0015383878,"teacher_disagreement_score":0.05407376,"about_ca_system_score_codex":0.0000060097345,"about_ca_system_score_gemma":0.0000032887137,"threshold_uncertainty_score":0.31379128},"labels":[],"label_agreement":null},{"id":"W3049498585","doi":"10.1111/geb.13165","title":"A cross‐scale assessment of productivity–diversity relationships","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Deutsche Forschungsgemeinschaft","keywords":"Productivity; Species richness; Biodiversity; Ecology; Primary production; Biomass (ecology); Ecosystem; Spatial ecology; Spatial variability; Geography; Environmental science; Ecosystem diversity; Biology","score_opus":0.014083710313784565,"score_gpt":0.24732139751763926,"score_spread":0.2332376872038547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049498585","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":[0.98960334,0.000034767578,0.00012797081,0.0018363823,0.000070492664,0.000120502766,0.000043207176,0.000021403172,0.008141905],"genre_scores_gemma":[0.9983918,0.00002626435,0.0012359923,0.00031200572,0.0000087317,0.0000047719195,0.0000060679426,0.0000010814725,0.000013261505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993739,0.00008254971,0.00011384987,0.00023418419,0.000068926005,0.00012658762],"domain_scores_gemma":[0.9997491,0.000043019376,0.000072771894,0.00006287232,0.0000130880735,0.0000590962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018769466,0.000069741414,0.0001222277,0.000015412612,0.00045639364,0.0000042397382,0.00008683456,0.00008861761,0.00017544799],"category_scores_gemma":[0.00004096329,0.000065635686,0.000047199763,0.00032113516,0.00073656585,0.00009335003,0.0004251971,0.00009736555,0.00001734733],"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":[0.00001544489,0.00008139316,0.9981591,0.0000069563202,0.000030985968,0.0000011287573,0.00014076741,0.00012342639,0.000029431902,0.0011064258,0.0001823432,0.00012260083],"study_design_scores_gemma":[0.00021292569,0.00017406845,0.9962129,7.1431504e-7,0.000024460933,0.0000023659006,0.000064782784,0.00028524917,0.000008161207,0.0027316785,0.00021844501,0.00006422563],"about_ca_topic_score_codex":0.000056428016,"about_ca_topic_score_gemma":0.0011493696,"teacher_disagreement_score":0.008788455,"about_ca_system_score_codex":0.000018184615,"about_ca_system_score_gemma":0.000006123834,"threshold_uncertainty_score":0.3510257},"labels":[],"label_agreement":null},{"id":"W3083783622","doi":"10.1111/geb.13179","title":"Global root traits (GRooT) database","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":218,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Natural Resources Canada; University of Saskatchewan; The Scarborough Hospital; University of Toronto; Canadian Forest Service","funders":"Biological and Environmental Research; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Russian Science Foundation; Office of Science; Robert Schalkenbach Foundation; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Trait; Biome; Root (linguistics); Biology; Ecology; Subspecies; Taxonomic rank; Taxon; Database; Geography; Ecosystem; Computer science","score_opus":0.011018884995654062,"score_gpt":0.2095751526160201,"score_spread":0.19855626762036604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083783622","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":[0.99138045,0.00061901007,0.0000024639712,0.004164612,0.00012533662,0.0001317317,0.0013398387,0.000126756,0.002109787],"genre_scores_gemma":[0.99532646,0.00007032534,0.000088198416,0.004163566,0.00015952592,0.0000070481333,0.00018264241,4.1790634e-7,0.0000018272748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989009,0.0000656806,0.00016438162,0.00040192145,0.00011442739,0.00035271115],"domain_scores_gemma":[0.99953574,0.000038146864,0.000051747393,0.00003430881,0.00003627942,0.00030378666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008261014,0.0001723389,0.00019769627,0.0000058987057,0.00016976983,0.00003865911,0.00021226869,0.0001766443,0.00014657126],"category_scores_gemma":[0.00003334421,0.00007513358,0.00013908074,0.0008615641,0.00018277117,0.00007365532,0.00013310973,0.0000760526,0.000030327717],"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":[0.000084184816,0.00005774251,0.9783544,0.000004609942,0.00003881307,0.000025495863,0.0000053750628,5.571053e-7,0.00074534497,0.002843148,0.0013665238,0.016473826],"study_design_scores_gemma":[0.00024679967,0.0004002355,0.99043715,0.000002289791,0.000032577183,0.000032776366,0.00006571443,0.0001415448,0.000023091621,0.0013724117,0.0070627024,0.000182714],"about_ca_topic_score_codex":0.00029205313,"about_ca_topic_score_gemma":0.008442319,"teacher_disagreement_score":0.016291112,"about_ca_system_score_codex":0.000012799568,"about_ca_system_score_gemma":0.000009010806,"threshold_uncertainty_score":0.47110122},"labels":[],"label_agreement":null},{"id":"W3088738889","doi":"10.1111/geb.13181","title":"Functional and phylogenetic diversity promote litter decomposition across terrestrial ecosystems","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Decomposer; Litter; Plant litter; Ecosystem; Species richness; Ecology; Abundance (ecology); Nutrient cycle; Biology; Phylogenetic diversity; Biomass (ecology); Terrestrial ecosystem; Monoculture; Phylogenetics","score_opus":0.009786205243596377,"score_gpt":0.22428994813066427,"score_spread":0.2145037428870679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088738889","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":[0.99705297,0.00011480485,0.00010738234,0.0018742797,0.00021152254,0.00015821937,0.00007391784,0.000026255466,0.00038067185],"genre_scores_gemma":[0.9984164,0.00005921374,0.00016497655,0.0012725826,0.000049955765,0.000008110297,0.00002305324,0.0000016657947,0.000004043651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992754,0.00005853783,0.00011287281,0.0002936563,0.00006286335,0.0001966974],"domain_scores_gemma":[0.99978095,0.00002583674,0.000051521012,0.00004237862,0.000005235607,0.00009409753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094085925,0.00010124688,0.00012378664,0.0000107408305,0.0006295841,0.000015547055,0.00006087998,0.00011956574,0.00012848791],"category_scores_gemma":[0.000010242022,0.000093558345,0.000042362975,0.00014804729,0.00040919744,0.00007050596,0.0004574276,0.00006618775,0.0000512909],"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":[0.00008062746,0.000030265306,0.9981359,0.0000056356266,0.00004737645,0.000005781632,0.00015774842,0.000021985166,0.00014107977,0.000052958403,0.0006435427,0.00067705946],"study_design_scores_gemma":[0.0006106156,0.00023983943,0.9964674,0.0000014406861,0.000027531985,0.000017855415,0.00005402422,0.00050498045,0.0000116952415,0.001265215,0.0006992577,0.00010015212],"about_ca_topic_score_codex":0.000080853526,"about_ca_topic_score_gemma":0.001837816,"teacher_disagreement_score":0.0017569625,"about_ca_system_score_codex":0.00001769612,"about_ca_system_score_gemma":0.000002575699,"threshold_uncertainty_score":0.48423153},"labels":[],"label_agreement":null},{"id":"W3095488265","doi":"10.1111/geb.13205","title":"Global responses of fine root biomass and traits to plant species mixtures in terrestrial ecosystems","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Biomass (ecology); Biology; Ecosystem; Terrestrial ecosystem; Biodiversity; Ecology; Species diversity; Terrestrial plant; Plant community; Agronomy; Botany","score_opus":0.013966918225831673,"score_gpt":0.21304309446342629,"score_spread":0.1990761762375946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095488265","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":[0.99401,0.000556678,3.7227665e-7,0.003129317,0.0001249949,0.0001941568,0.0017602848,0.000026178997,0.00019806846],"genre_scores_gemma":[0.99953353,0.00002355089,0.000029881166,0.00025736168,0.0000987643,0.000006305617,0.000049080136,3.7398752e-7,0.0000011247839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903864,0.0001099667,0.0002321635,0.00028979406,0.000091287446,0.00023815378],"domain_scores_gemma":[0.9996356,0.00010036285,0.0000617656,0.000023964736,0.00001275574,0.00016555142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012203524,0.00014017368,0.0002714027,0.000023465998,0.00005740592,0.00002376975,0.00012918227,0.0001623085,0.000018026225],"category_scores_gemma":[0.00007050222,0.00006434138,0.00007514257,0.00073658576,0.00013449315,0.000029909514,0.000085941974,0.000043752178,0.000001306964],"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":[0.0007883821,0.00004313937,0.98841184,0.000007535599,0.000024895977,0.000020869029,0.000020384274,4.052951e-7,0.0077838595,0.0003009418,0.00040589547,0.0021918414],"study_design_scores_gemma":[0.00041177345,0.00087453396,0.9955618,0.000009157004,0.0000137188335,0.000020063011,0.000078134384,0.00003853612,0.00031952083,0.0003584005,0.0021877706,0.00012661898],"about_ca_topic_score_codex":0.0009729819,"about_ca_topic_score_gemma":0.10463999,"teacher_disagreement_score":0.10366701,"about_ca_system_score_codex":0.000010166537,"about_ca_system_score_gemma":0.000009019247,"threshold_uncertainty_score":0.911698},"labels":[],"label_agreement":null},{"id":"W3096461016","doi":"10.1111/geb.13346","title":"sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université du Québec en Abitibi-Témiscamingue; Natural Resources Canada; Canadian Forest Service","funders":"H2020 European Research Council; National Research, Development and Innovation Office; Agencia Estatal de Investigación; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Narodowe Centrum Nauki; Natural Environment Research Council; Akademie Věd České Republiky; Eusko Jaurlaritza; Grantová Agentura České Republiky; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Horizon 2020 Framework Programme; Russian Foundation for Basic Research; Agence Nationale de la Recherche; Sight Research UK; Deutsche Forschungsgemeinschaft; Volkswagen Foundation; National Science Foundation; Fundación BBVA; National Sleep Foundation; Villum Fonden","keywords":"Vegetation (pathology); Ecology; Geography; Environmental science; Physical geography; Biology","score_opus":0.024833763989098208,"score_gpt":0.30662494865940365,"score_spread":0.28179118467030545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096461016","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":[0.9785742,0.00018046927,0.000012112929,0.00034390195,0.00013137923,0.00020641128,0.007634577,0.000016052198,0.012900899],"genre_scores_gemma":[0.993059,0.00038626304,0.0002572043,0.0014977658,0.000008975747,0.000017910052,0.0047627874,0.000002904026,0.0000072171606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893796,0.00007829266,0.00020592955,0.00039915173,0.00013973608,0.00023890719],"domain_scores_gemma":[0.99950105,0.000009492761,0.00010778078,0.00024443542,0.000008662231,0.00012857013],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012822145,0.00012546609,0.00017876226,0.000010787692,0.00013387525,0.00010414128,0.0005271203,0.000102618855,0.012362277],"category_scores_gemma":[0.000011414228,0.00012117816,0.000043105058,0.00043573062,0.00042952542,0.00062039064,0.0011793314,0.000040418447,0.00016053577],"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":[0.000044497552,0.0002959738,0.9889408,0.000007145635,0.000024370418,0.000018652534,0.000005950661,0.0000042303404,0.00067556207,0.0018644216,0.0065130354,0.0016053972],"study_design_scores_gemma":[0.0005724671,0.00013175225,0.96711385,0.0000035071653,0.000027762117,0.00003117878,0.00016183007,0.000007570269,0.0003974182,0.0013105212,0.030110653,0.00013149364],"about_ca_topic_score_codex":0.0006706847,"about_ca_topic_score_gemma":0.007733046,"teacher_disagreement_score":0.023597619,"about_ca_system_score_codex":0.00012124686,"about_ca_system_score_gemma":0.00001391213,"threshold_uncertainty_score":0.98854053},"labels":[],"label_agreement":null},{"id":"W3103332312","doi":"10.1111/geb.13210","title":"RivFishTIME: A global database of fish time‐series to study global change ecology in riverine systems","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"WWF International; National Forest Foundation; Deutsche Forschungsgemeinschaft; New Mexico Department of Game and Fish; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Fish and Wildlife Foundation; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Tennessee Valley Authority; World Wildlife Fund","keywords":"Database; Ecology; Geography; Macroecology; Biodiversity; Actinopterygii; Freshwater fish; Abundance (ecology); Ichthyology; Global change; Fish <Actinopterygii>; Climate change; Fishery; Biology; Computer science","score_opus":0.01068491830349787,"score_gpt":0.22411329935619181,"score_spread":0.21342838105269393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103332312","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":[0.9868781,0.00007699701,0.0000064655173,0.005939684,0.00029607146,0.0013443031,0.001113024,0.00006258237,0.0042827786],"genre_scores_gemma":[0.9933344,0.00011947838,0.00022009546,0.006062544,0.000037544578,0.00017499091,0.000038537848,0.0000039391684,0.00000843766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980625,0.00020575135,0.00038113585,0.00067162735,0.00015326496,0.0005257352],"domain_scores_gemma":[0.9994201,0.00003061464,0.00012707032,0.00021403967,0.000016862456,0.00019130005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026612927,0.00026798053,0.00052632217,0.000043267606,0.00016999322,0.00001423905,0.00036763985,0.00016229524,0.000462798],"category_scores_gemma":[0.00007146018,0.0002599746,0.00006759448,0.0013696932,0.0005862959,0.00022548987,0.0014061928,0.00008698845,0.00017738603],"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":[0.00029741897,0.0005129376,0.97623634,0.00002947508,0.00016130351,0.00013399654,0.00012309547,0.000018448487,0.000004130472,0.0003476082,0.0218151,0.00032011664],"study_design_scores_gemma":[0.0011302448,0.0019026368,0.99210864,0.000006184939,0.00008768441,0.000015292688,0.00048074397,0.000030667496,0.000001652514,0.00027751114,0.0037346145,0.00022412518],"about_ca_topic_score_codex":0.0016070437,"about_ca_topic_score_gemma":0.032240484,"teacher_disagreement_score":0.030633442,"about_ca_system_score_codex":0.0001038428,"about_ca_system_score_gemma":0.000008801385,"threshold_uncertainty_score":0.9999852},"labels":[],"label_agreement":null},{"id":"W3105667875","doi":"10.1111/geb.13217","title":"Latitudinal variation in plant defence against herbivory in a marine foundation species does not follow a linear pattern: The importance of resource availability","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":13,"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 British Columbia; Tula Foundation; Université du Québec à Chicoutimi","funders":"Hakai Institute; Ministerio de Ciencia e Innovación; National Science Foundation","keywords":"Seagrass; Herbivore; Zostera marina; Foundation species; Biology; Resistance (ecology); Ecology; Range (aeronautics); Habitat; Latitude; Resource (disambiguation); Geography","score_opus":0.012146931401505962,"score_gpt":0.19162633415633293,"score_spread":0.17947940275482696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105667875","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":[0.995308,0.000061761566,0.0000092930595,0.0016546809,0.00006551674,0.00016939863,0.0002311235,0.00000940166,0.0024908488],"genre_scores_gemma":[0.9981346,0.00013193865,0.00009239207,0.0013970155,0.000036235397,0.0000017979892,0.00019837514,6.4460437e-7,0.000006975804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906975,0.0001357043,0.0002790162,0.00025537692,0.00007741868,0.00018273013],"domain_scores_gemma":[0.9996094,0.0001400006,0.00011068614,0.00008439318,0.000015155834,0.00004038282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031965887,0.00009958581,0.00018409877,0.00004774571,0.000059818307,0.000010453728,0.00012912609,0.00009184257,0.00022106084],"category_scores_gemma":[0.000049993683,0.00006177824,0.000041434203,0.00037411763,0.00018417847,0.00006847504,0.000041217623,0.00011687319,0.0000055671653],"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":[0.0002631472,0.000021361271,0.9931947,0.00002900052,0.000012064878,0.00001753406,0.000085742424,0.000048349568,0.000030620013,0.0001078634,0.000013432796,0.006176178],"study_design_scores_gemma":[0.00030710615,0.00018485257,0.9961714,0.0000067563137,0.000006576004,0.0000048539455,0.000099404155,0.0012022343,0.000011733862,0.00055473356,0.0013742293,0.000076132994],"about_ca_topic_score_codex":0.007232387,"about_ca_topic_score_gemma":0.342576,"teacher_disagreement_score":0.3353436,"about_ca_system_score_codex":0.0000034208117,"about_ca_system_score_gemma":0.000027712786,"threshold_uncertainty_score":0.99937856},"labels":[],"label_agreement":null},{"id":"W3108476221","doi":"10.1111/geb.13230","title":"The multiple origins of sexual size dimorphism in global amphibians","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":55,"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":"Queen's University; Queen's University Belfast; Directorate for Biological Sciences; Agencia Nacional de Investigación e Innovación","keywords":"Fecundity; Biology; Ecology; Sexual dimorphism; Sexual selection; Competition (biology); Selection (genetic algorithm); Ecological niche; Generalist and specialist species; Zoology; Habitat; Demography; Population","score_opus":0.006754163463411477,"score_gpt":0.20891994772366154,"score_spread":0.20216578426025006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108476221","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":[0.99469054,0.00020405163,0.000007930141,0.0025736429,0.00016565759,0.0001699908,0.0001345248,0.000023199651,0.002030475],"genre_scores_gemma":[0.99838847,0.00012604074,0.00015868215,0.0012765415,0.000030154664,0.0000063300795,0.000005021892,0.000002282765,0.000006469453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894524,0.00008884101,0.00022252015,0.0003298418,0.00008495059,0.00032858163],"domain_scores_gemma":[0.9995592,0.000108485,0.000078062054,0.00012549818,0.000005275922,0.00012345765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012568246,0.00012955615,0.00018533297,0.00000841927,0.00012980265,0.000007703858,0.00022876862,0.00017286428,0.00013647733],"category_scores_gemma":[0.00008356351,0.00008699539,0.000056649995,0.00053190783,0.0012877135,0.00003972026,0.00021462058,0.000082261206,0.00005194417],"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":[0.00008888842,0.00005273051,0.9935265,0.0000034573866,0.000018981962,0.000011760773,0.000037367285,0.000011185256,0.0006705253,0.0012418779,0.00093518913,0.0034015123],"study_design_scores_gemma":[0.000507517,0.00034380093,0.9749967,0.000001273887,0.000011707176,0.000013288755,0.00015520297,0.000062677376,0.000029228308,0.000687103,0.023088535,0.00010298189],"about_ca_topic_score_codex":0.0011923079,"about_ca_topic_score_gemma":0.010600353,"teacher_disagreement_score":0.022153348,"about_ca_system_score_codex":0.00006855565,"about_ca_system_score_gemma":0.000013746573,"threshold_uncertainty_score":0.5915246},"labels":[],"label_agreement":null},{"id":"W3108872060","doi":"10.1111/geb.13209","title":"Climate‐induced variation in the demography of 14 tree species is not sufficient to explain their distribution in eastern North America","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Range (aeronautics); Geography; Climate change; Species distribution; Population; Competition (biology); Neighbourhood (mathematics); Ecological niche; Niche; Biology; Habitat; Demography; Mathematics","score_opus":0.020344440748531617,"score_gpt":0.22034752453267759,"score_spread":0.20000308378414597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108872060","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":[0.9919859,0.000022985007,0.00004541328,0.0048043295,0.000060499373,0.0002870929,0.0014689064,0.000013704545,0.0013111547],"genre_scores_gemma":[0.9962314,0.00011537394,0.0000120845425,0.0034105538,0.000010181587,0.000025762512,0.0001921499,0.0000020761058,4.6567772e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988514,0.000109824774,0.00026056817,0.00030429038,0.00016104546,0.00031285672],"domain_scores_gemma":[0.99965423,0.00003967142,0.00009163165,0.00012215512,0.000011573332,0.000080758495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017173527,0.00013707032,0.00018508222,0.000049929757,0.000085203406,0.000019983938,0.00021446713,0.00008323223,0.0008234815],"category_scores_gemma":[0.000028446178,0.00010197594,0.000086028165,0.0018738959,0.0002030316,0.00006366308,0.00013791137,0.000085463704,0.000058544294],"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":[0.00010543736,0.00017544908,0.9955338,0.0000056076005,0.0000064927763,0.0000032389967,0.0013161269,0.000009538464,0.0005283766,0.000336341,0.0006711677,0.0013084188],"study_design_scores_gemma":[0.00035236106,0.0003044972,0.9913934,0.0000034162233,0.000008472329,0.0000013190985,0.0033497354,0.0000823794,0.00011384993,0.000028541064,0.0042553637,0.00010665089],"about_ca_topic_score_codex":0.00031707855,"about_ca_topic_score_gemma":0.0051916703,"teacher_disagreement_score":0.0048745917,"about_ca_system_score_codex":0.00007024798,"about_ca_system_score_gemma":0.000003922168,"threshold_uncertainty_score":0.9016545},"labels":[],"label_agreement":null},{"id":"W3113238254","doi":"10.1111/geb.13235","title":"Stability in subtropical forests: The role of tree species diversity, stand structure, environmental and socio‐economic conditions","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Key Research and Development Program of China; National Forestry and Grassland Administration; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Species richness; Ecology; Ecological stability; Productivity; Species diversity; Forest ecology; Biodiversity; Ecosystem; Geography; Biology","score_opus":0.0058163922612499835,"score_gpt":0.18764847026172912,"score_spread":0.18183207800047912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113238254","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":[0.997471,0.00026074288,0.0000021494186,0.0008090486,0.0000293927,0.00013049965,0.0005420015,0.0000055203777,0.0007496887],"genre_scores_gemma":[0.9995759,0.00015284272,0.000026967766,0.00022111984,0.0000068866834,0.0000030474619,0.000011092998,0.0000011052035,0.0000010531467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994494,0.000058163652,0.00012285759,0.00019304609,0.000043480446,0.00013308541],"domain_scores_gemma":[0.9997692,0.00006976333,0.00006285347,0.000052275165,0.0000013471712,0.000044550747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055121076,0.00007964614,0.00013310651,0.000012764524,0.00026712872,0.0000049207665,0.000090241265,0.000079407655,0.0004322922],"category_scores_gemma":[0.000009239801,0.00006230402,0.00003602133,0.000059561673,0.0018017868,0.0000629983,0.0004489607,0.00007472567,0.0000051045354],"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":[0.00003181743,0.000027646232,0.9968912,0.000002814999,0.000028782211,0.0000012165648,0.0002769351,0.0000132857485,0.0001329501,0.0024408912,0.000044889584,0.00010758402],"study_design_scores_gemma":[0.00031732838,0.000109663015,0.9729016,4.704205e-7,0.00002003025,0.0000021576216,0.0011796639,0.00012000617,0.00002542016,0.0251261,0.0001391259,0.000058481728],"about_ca_topic_score_codex":0.00009171259,"about_ca_topic_score_gemma":0.016904937,"teacher_disagreement_score":0.023989633,"about_ca_system_score_codex":0.000044334996,"about_ca_system_score_gemma":0.000003825773,"threshold_uncertainty_score":0.9433352},"labels":[],"label_agreement":null},{"id":"W3115628905","doi":"10.1111/geb.13248","title":"Changes in landscape‐scale tree biodiversity in the north‐eastern USA since European settlement","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","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":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Biodiversity; Geography; Ecology; Context (archaeology); Land use; Gamma diversity; Landscape ecology; Agricultural land; Beta diversity; Agriculture; Global change; Scale (ratio); Land use, land-use change and forestry; Habitat; Climate change; Biology; Cartography; Archaeology","score_opus":0.008868340040569923,"score_gpt":0.19421053161932858,"score_spread":0.18534219157875867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115628905","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":[0.9802631,0.00005762391,0.0000032037594,0.013899964,0.000046635992,0.00012960185,0.00012401256,0.000008956056,0.0054669105],"genre_scores_gemma":[0.99357367,0.00015460809,0.000037373902,0.0061882134,0.000009745639,0.000005622196,0.000026950773,8.969572e-7,0.0000029083535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924034,0.00016535613,0.000098480996,0.00023177151,0.000062435625,0.00020162432],"domain_scores_gemma":[0.99983144,0.00003293814,0.000038824026,0.0000544867,0.0000029810622,0.000039346123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018322497,0.00009010131,0.00010404467,0.000029068971,0.00013195537,0.000008575473,0.00016220627,0.000044570428,0.00009413675],"category_scores_gemma":[0.0000074203467,0.000067993235,0.000027909135,0.00042715823,0.0002851383,0.00004246254,0.0002039841,0.000088051755,0.0001665922],"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":[0.000022591796,0.00005883677,0.9977576,0.0000032732164,0.000008546103,0.000030726373,0.0005461791,0.000021423544,0.0000033340693,0.000023328636,0.0008620174,0.0006621317],"study_design_scores_gemma":[0.00037969323,0.00013486033,0.99724966,0.0000012070204,0.000009656913,0.0000026469354,0.00048188173,0.00012770497,6.495868e-7,0.00006989864,0.0014653071,0.000076842065],"about_ca_topic_score_codex":0.00016598306,"about_ca_topic_score_gemma":0.26592776,"teacher_disagreement_score":0.2657618,"about_ca_system_score_codex":0.00001384107,"about_ca_system_score_gemma":0.0000019811762,"threshold_uncertainty_score":0.7474671},"labels":[],"label_agreement":null},{"id":"W3126606257","doi":"10.1111/j.1466-8238.2006.00256.x","title":"Simulated ecosystem threshold responses to co‐varying temperature, precipitation and atmospheric CO<sub>2</sub> within a region of Amazonia","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Climate variability and models","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Ecosystem; Primary production; Precipitation; Atmospheric sciences; Abiotic component; Plant functional type; Vegetation (pathology); Ecology; Biology; Geography; Meteorology","score_opus":0.00747266886334856,"score_gpt":0.22276122787779873,"score_spread":0.21528855901445018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126606257","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":[0.99854136,0.000103262704,0.00001973746,0.00015920245,0.00008028527,0.00043432665,0.00012872441,0.000043015996,0.0004900816],"genre_scores_gemma":[0.9993013,0.000052763295,0.00036150738,0.00021791318,0.0000119735305,0.000012356331,0.000032445587,0.0000053826398,0.000004353321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988081,0.00012295977,0.0003028487,0.00040144334,0.000119003314,0.00024563284],"domain_scores_gemma":[0.9995156,0.000102088925,0.00011832551,0.00015591871,0.00001908432,0.00008900551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003280482,0.0001602064,0.00022760102,0.000027893091,0.00018704333,0.000028371898,0.00008511167,0.00021401758,0.000013512503],"category_scores_gemma":[0.000028375835,0.00014400171,0.000053900072,0.0005131421,0.00025350982,0.00012724682,0.00007509413,0.000076277414,0.000008659141],"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":[0.00041721525,0.00010820531,0.9630526,0.000029531282,0.00002171292,0.000009703832,0.000107485655,0.0046311826,0.03075056,0.00031411462,0.00038146335,0.00017624751],"study_design_scores_gemma":[0.00069578126,0.00052302494,0.9879334,0.000033087366,0.000037388752,0.00004744783,0.000063575484,0.0024204734,0.0047370503,0.0030341486,0.00024449633,0.0002301288],"about_ca_topic_score_codex":0.00033580067,"about_ca_topic_score_gemma":0.001173957,"teacher_disagreement_score":0.02601351,"about_ca_system_score_codex":0.00004689887,"about_ca_system_score_gemma":0.000011019549,"threshold_uncertainty_score":0.5872219},"labels":[],"label_agreement":null},{"id":"W3127925122","doi":"10.1111/geb.13262","title":"A global meta‐analysis of temperature effects on marine fishes’ digestion across trophic groups","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Smithsonian Tropical Research Institute; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Trophic level; Herbivore; Biology; Ecology; Ectotherm; Ecosystem; Digestion (alchemy); Invertebrate; Predation; Latitude; Chemistry","score_opus":0.009116431615986811,"score_gpt":0.23178563427603915,"score_spread":0.22266920266005236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127925122","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":[0.9940959,0.0011341681,3.6833663e-7,0.002914042,0.00007588231,0.00011732305,0.001174138,0.000039500945,0.0004486739],"genre_scores_gemma":[0.9970945,0.00027429557,0.000046160654,0.0018183021,0.00006528514,0.000016596898,0.0006716992,3.47323e-7,0.000012823069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882555,0.00017762557,0.00019057632,0.00039770963,0.00013767072,0.00027089132],"domain_scores_gemma":[0.99950355,0.0001198711,0.00008773614,0.00006508514,0.0001148903,0.000108888264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011352386,0.00018406709,0.0005468855,0.000018795605,0.00020635407,0.00004097187,0.00011145437,0.00029837093,0.00020209544],"category_scores_gemma":[0.000035908168,0.00007316183,0.00071611867,0.0025579922,0.00014287738,0.000053851745,0.0000918597,0.00008914015,0.0000034911318],"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":[0.00015015727,0.00040449356,0.9731596,0.000023015033,0.014291316,0.000057303903,0.000010919523,0.00000334101,0.004362169,0.003428428,0.0004906121,0.0036186245],"study_design_scores_gemma":[0.00024357272,0.00043103093,0.98766446,0.0000031641425,0.007574018,0.000017836692,0.00005815894,0.0000022139534,0.0005657607,0.002323914,0.0009771194,0.00013877866],"about_ca_topic_score_codex":0.0001530067,"about_ca_topic_score_gemma":0.0064074234,"teacher_disagreement_score":0.014504812,"about_ca_system_score_codex":0.0000128392785,"about_ca_system_score_gemma":0.0000044842122,"threshold_uncertainty_score":0.35754928},"labels":[],"label_agreement":null},{"id":"W3130110928","doi":"10.1111/geb.13287","title":"The global macroecology of brood size in amphibians reveals a predisposition of low‐fecundity species to extinction","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":45,"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":"Directorate for Biological Sciences; Queen's University Belfast; Trent University; Queen's University; Nottingham Trent University","keywords":"Fecundity; Biology; Ecology; Brood; Extinction (optical mineralogy); Biodiversity; Taxon; Zoology; Population; Demography","score_opus":0.003579416304218189,"score_gpt":0.21043861131742891,"score_spread":0.20685919501321073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130110928","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":[0.99286544,0.0001535109,0.000022505947,0.0008456136,0.0003054767,0.00021783508,0.00019414925,0.000009985084,0.0053854845],"genre_scores_gemma":[0.9991307,0.0002082381,0.00023602029,0.00033921303,0.000022101554,0.000011821181,0.000012229401,0.0000018888675,0.000037768106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878144,0.00020157137,0.000321643,0.0003119023,0.000089655296,0.00029378914],"domain_scores_gemma":[0.99948317,0.00011916099,0.00012945918,0.00017142078,0.000024220577,0.00007256029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024164288,0.00011411335,0.00024006971,0.000022139753,0.000108929926,0.00000619472,0.00014041191,0.00021063173,0.00035048518],"category_scores_gemma":[0.00010617144,0.000087495704,0.00009877883,0.0006788392,0.00092016015,0.00003935192,0.00022449713,0.000060765313,0.000015013447],"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":[0.00013883146,0.00016692394,0.99027586,0.000011236398,0.00002576642,0.000011462058,0.000028527427,0.00001625366,0.0060887653,0.0011106237,0.0005008797,0.0016248676],"study_design_scores_gemma":[0.00034741522,0.00035183504,0.99178976,0.000009074833,0.00001605505,0.00004952703,0.00014521841,0.0000035418432,0.00069068605,0.004895408,0.0016198866,0.00008161756],"about_ca_topic_score_codex":0.00016011256,"about_ca_topic_score_gemma":0.017747276,"teacher_disagreement_score":0.017587163,"about_ca_system_score_codex":0.00008969257,"about_ca_system_score_gemma":0.00002111845,"threshold_uncertainty_score":0.99033964},"labels":[],"label_agreement":null},{"id":"W3134477446","doi":"10.1111/geb.13282","title":"Global soil microbial biomass decreases with aridity and land‐use intensification","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Science Fund for Distinguished Young Scholars; Natural Science Foundation of Fujian Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Biomass (ecology); Environmental science; Soil carbon; Ecosystem; Agronomy; Total organic carbon; Soil biology; Ecology; Soil water; Biology; Soil science","score_opus":0.009035209517237998,"score_gpt":0.1948808633693645,"score_spread":0.1858456538521265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134477446","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":[0.9976841,0.0004953672,0.0000017358351,0.0009969209,0.00011043448,0.000079059486,0.00043019254,0.000054850723,0.00014733706],"genre_scores_gemma":[0.99848753,0.0002566938,0.0001538825,0.0007761038,0.000050484665,0.0000049495343,0.00026623014,4.3760232e-7,0.000003656028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914545,0.00007601514,0.000118802986,0.0003524646,0.00006945221,0.0002378437],"domain_scores_gemma":[0.9995655,0.000063369764,0.00005399122,0.00005042261,0.0001299886,0.00013672981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007080147,0.00014146545,0.00016717175,0.000009400453,0.00018697478,0.00008577202,0.00006568675,0.0001658788,0.000020973275],"category_scores_gemma":[0.000041594016,0.000060912138,0.00006420277,0.0005568561,0.0002933038,0.00007549908,0.00007975309,0.000046855683,0.0000023456664],"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":[0.00010643716,0.000084029656,0.9921078,0.0000037609557,0.000049337956,0.000033298886,0.0000023836476,1.6764213e-7,0.0025805063,0.00062838383,0.00014039497,0.004263491],"study_design_scores_gemma":[0.00027090963,0.00020645732,0.9963716,0.000006000791,0.00005228225,0.00032357124,0.000079787045,0.000034629407,0.00034014793,0.0011106185,0.0010513931,0.00015258799],"about_ca_topic_score_codex":0.0024107269,"about_ca_topic_score_gemma":0.07240006,"teacher_disagreement_score":0.06998934,"about_ca_system_score_codex":0.000015524038,"about_ca_system_score_gemma":0.000017971324,"threshold_uncertainty_score":0.9445262},"labels":[],"label_agreement":null},{"id":"W3137282054","doi":"10.1111/geb.13281","title":"Elevated CO<sub>2</sub> shifts soil microbial communities from <i>K</i>‐ to <i>r</i>‐strategists","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Acidobacteria; Ecosystem; Biomass (ecology); Microbial population biology; Ecology; Terrestrial ecosystem; Soil carbon; Environmental chemistry; Environmental science; Biology; Proteobacteria; Soil water; Chemistry; Bacteria","score_opus":0.008919532129514338,"score_gpt":0.20389431379235412,"score_spread":0.19497478166283977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137282054","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":[0.9953048,0.00044237223,5.3667003e-7,0.0013039765,0.00031606638,0.00012704589,0.0016205206,0.00010808693,0.0007765942],"genre_scores_gemma":[0.99328226,0.000335451,0.000052174684,0.004978057,0.0001253573,0.000013655883,0.0012080334,0.0000012774037,0.0000037383297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863195,0.00020528116,0.00023862506,0.00035141883,0.000120193195,0.0004525202],"domain_scores_gemma":[0.9993454,0.00014454345,0.00006665066,0.00010293516,0.0001196257,0.00022082178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012774389,0.0002333241,0.00029274178,0.000020869542,0.00034323052,0.000112734386,0.00023457603,0.00029149352,0.0000984954],"category_scores_gemma":[0.000016545864,0.00012268356,0.00017001179,0.00074496825,0.00025580463,0.00006278475,0.00016340826,0.00016737252,0.00004985994],"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":[0.0001230867,0.00018543341,0.53559726,0.0000043391497,0.000113236834,0.00006370335,0.000049496735,0.0000017951551,0.45584238,0.00048075104,0.0015375415,0.0060009747],"study_design_scores_gemma":[0.00036513005,0.00027668133,0.9402205,0.000013488023,0.000047103218,0.000039900286,0.00067235157,0.000017569217,0.051965423,0.0031019,0.0029244092,0.00035554927],"about_ca_topic_score_codex":0.0021574893,"about_ca_topic_score_gemma":0.08991874,"teacher_disagreement_score":0.4046232,"about_ca_system_score_codex":0.000019942518,"about_ca_system_score_gemma":0.000026817032,"threshold_uncertainty_score":0.9266879},"labels":[],"label_agreement":null},{"id":"W3139213875","doi":"10.1111/geb.13279","title":"Biological traits of seabirds predict extinction risk and vulnerability to anthropogenic threats","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Research Chairs","keywords":"Threatened species; Ecology; IUCN Red List; Habitat; Biology; Pelagic zone; Conservation-dependent species; Endangered species; Geography; Near-threatened species","score_opus":0.01113538154482702,"score_gpt":0.2526606643315057,"score_spread":0.24152528278667867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139213875","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":[0.9985018,0.0002956503,0.00006280639,0.00023780369,0.00013601554,0.0001748717,0.00020166625,0.00003739424,0.000352025],"genre_scores_gemma":[0.9987452,0.0003684006,0.0006289016,0.00020747259,0.000014383856,0.00001446863,0.000011652639,0.0000021820376,0.0000073109536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884003,0.00019936103,0.00019049045,0.00045114334,0.000067758505,0.0002512221],"domain_scores_gemma":[0.99961144,0.00005929149,0.00006174406,0.00011590266,0.000015480775,0.00013612073],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002596432,0.00012566787,0.00021407533,0.000024476349,0.0002187819,0.000005886909,0.0000734087,0.00026741973,0.0009348079],"category_scores_gemma":[0.00006124296,0.00010199012,0.000073538125,0.00040157323,0.001113676,0.000057886016,0.00020545696,0.00010970558,0.000021483946],"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":[0.000064679734,0.00021303102,0.9714145,0.000003177196,0.000021881775,0.00001170063,0.00002347306,0.0000033417502,0.0009476251,0.000026378562,0.00008799735,0.027182188],"study_design_scores_gemma":[0.0003222513,0.0005783443,0.9961155,0.0000018633846,0.000056250425,0.000065846725,0.00007520472,0.0000035364815,0.00048396745,0.0017689653,0.00042044363,0.00010782165],"about_ca_topic_score_codex":0.00004127171,"about_ca_topic_score_gemma":0.001286522,"teacher_disagreement_score":0.027074367,"about_ca_system_score_codex":0.000023729184,"about_ca_system_score_gemma":0.000011059707,"threshold_uncertainty_score":0.9999785},"labels":[],"label_agreement":null},{"id":"W3155012700","doi":"10.1111/geb.13291","title":"Multi‐decade tree mortality in temperate old‐growth forests of Europe and North America: Non‐equilibrial dynamics and species‐individualistic response to disturbance","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":17,"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":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Agentúra na Podporu Výskumu a Vývoja; Javna Agencija za Raziskovalno Dejavnost RS; Ministry of Business, Innovation and Employment; McGill University","keywords":"Temperate rainforest; Ecology; Temperate forest; Temperate climate; Forest dynamics; Disturbance (geology); Geography; Abundance (ecology); Old-growth forest; Biology; Ecosystem","score_opus":0.008538062937461812,"score_gpt":0.2330417765828348,"score_spread":0.22450371364537297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155012700","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":[0.99814653,0.00015035723,0.00006154266,0.0006155532,0.0001082109,0.00018830386,0.00044510403,0.00001027151,0.0002741413],"genre_scores_gemma":[0.99823105,0.00037343337,0.0007779753,0.0004811073,0.000008189948,0.00001434008,0.000053409953,0.0000041194,0.000056390087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987288,0.00019684718,0.000263453,0.0004499534,0.00008712221,0.0002738186],"domain_scores_gemma":[0.9994971,0.00014679511,0.00008877642,0.00012633784,0.000035339795,0.00010565634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022712087,0.00016189087,0.0002949957,0.00005141305,0.00014870003,0.000016732929,0.00009683042,0.000101235346,0.00002443812],"category_scores_gemma":[0.00027547288,0.00015270604,0.0000344679,0.0007529123,0.0010855884,0.000083805724,0.00038134874,0.000097355885,0.0000062649483],"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":[0.00021637302,0.00011645899,0.99850655,0.000014957284,0.00004841543,0.0000453445,0.00021380655,0.000046671532,0.00022932967,0.00029937824,0.000057837977,0.00020488173],"study_design_scores_gemma":[0.00073737977,0.00022396288,0.9973517,0.000006517654,0.00003768337,0.0000126951545,0.000116838775,0.00095551484,0.000011045204,0.0003220672,0.00007106945,0.00015349135],"about_ca_topic_score_codex":0.00023863246,"about_ca_topic_score_gemma":0.10117161,"teacher_disagreement_score":0.10093298,"about_ca_system_score_codex":0.00003497551,"about_ca_system_score_gemma":0.000015915566,"threshold_uncertainty_score":0.9152297},"labels":[],"label_agreement":null},{"id":"W3156394237","doi":"10.1111/geb.13298","title":"Drivers of native and non‐native freshwater fish richness across North America: Disentangling the roles of environmental, historical and anthropogenic factors","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Introduced species; Ecology; Geography; Biodiversity; Invasive species; Environmental change; Climate change; Biology","score_opus":0.004796517121043196,"score_gpt":0.20296184248292648,"score_spread":0.19816532536188328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156394237","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":[0.99851716,0.0002726886,0.0000093188355,0.00047583014,0.000089115,0.000106778454,0.00048279745,0.0000048473626,0.000041479194],"genre_scores_gemma":[0.9990368,0.0005757298,0.00006628397,0.0002672371,0.000006011386,0.000005502697,0.00003242729,0.0000024541027,0.000007590894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920464,0.00008934391,0.00016931687,0.0002686789,0.00009028496,0.00017775738],"domain_scores_gemma":[0.9996097,0.00011023657,0.00013244027,0.00008760462,0.000009011072,0.000051016745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006657466,0.0001193773,0.00020318302,0.000018648832,0.00026565135,0.000006030064,0.00007966037,0.00009910992,0.0001144044],"category_scores_gemma":[0.000018116054,0.00008798184,0.000053548505,0.00024155082,0.0020365333,0.00009744826,0.00023959688,0.0000791772,7.772734e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028488592,0.00009738553,0.9974753,0.00000479361,0.00007998452,0.000006124271,0.0011459752,0.000007144603,0.00014348948,0.000010077774,0.00014032901,0.0008609031],"study_design_scores_gemma":[0.00028934618,0.0001374291,0.9948917,0.0000025867755,0.000051013318,0.000006316634,0.0032964943,0.000037370773,0.00033673446,0.00019565341,0.00066421495,0.00009116563],"about_ca_topic_score_codex":0.00013874218,"about_ca_topic_score_gemma":0.0080312025,"teacher_disagreement_score":0.007892461,"about_ca_system_score_codex":0.00005615467,"about_ca_system_score_gemma":0.000006761929,"threshold_uncertainty_score":0.7503692},"labels":[],"label_agreement":null},{"id":"W3159528955","doi":"10.1111/geb.13310","title":"Geographic variation in the robustness of pollination networks is mediated by modularity","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Robustness (evolution); Ecology; Biology; Modularity (biology); Pollinator; Ecological network; Pollination; Pollen; Evolutionary biology; Ecosystem","score_opus":0.010728758899480089,"score_gpt":0.18972047556107718,"score_spread":0.1789917166615971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159528955","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":[0.99509585,0.0017653744,0.000007870703,0.0025824897,0.000048989823,0.000073937816,0.00026970997,0.000009568906,0.00014619308],"genre_scores_gemma":[0.99809515,0.0012511457,0.000012836366,0.0004681406,0.00003230326,0.0000058577475,0.00013314774,1.3647465e-7,0.0000012769024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993468,0.00011542449,0.00013950666,0.00016585068,0.00007853464,0.00015391252],"domain_scores_gemma":[0.9997244,0.00012258369,0.00006215257,0.000015639724,0.0000556396,0.000019595553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022609024,0.00007446906,0.00012793447,0.000010518714,0.00013595555,0.000015638108,0.00009034196,0.00013516033,0.000027511202],"category_scores_gemma":[0.00002239879,0.00002823153,0.000058692916,0.000854417,0.000099163575,0.000040025643,0.00004938434,0.000065023996,3.82872e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017728004,0.00011900502,0.99499863,0.0000026397042,0.000025991212,0.0000027896879,0.00001651732,0.000007165276,0.001824183,0.0005775759,0.000410995,0.001996791],"study_design_scores_gemma":[0.00011432251,0.00008312482,0.99739856,0.0000036258912,0.000014438473,0.000005312476,0.000101973266,0.00031664962,0.000022710177,0.001235778,0.0006424168,0.00006107857],"about_ca_topic_score_codex":0.0003735846,"about_ca_topic_score_gemma":0.007004425,"teacher_disagreement_score":0.0066308407,"about_ca_system_score_codex":0.0000031296445,"about_ca_system_score_gemma":0.0000025731667,"threshold_uncertainty_score":0.39086336},"labels":[],"label_agreement":null},{"id":"W3162172724","doi":"10.1111/geb.13318","title":"Non‐native species outperform natives in coastal marine ecosystems subjected to warming and freshening events","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Environment Research Council; Canada Research Chairs; UK Research and Innovation","keywords":"Ecology; Introduced species; Effects of global warming on oceans; Biodiversity; Climate change; Benthic zone; Ocean acidification; Global warming; Ecosystem; Biology; Marine ecosystem; Geography","score_opus":0.006775204160415625,"score_gpt":0.19780814500584662,"score_spread":0.191032940845431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162172724","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":[0.9789546,0.00020368637,0.0000044584217,0.0002633469,0.00025620023,0.000146323,0.0005528767,0.000015963536,0.019602535],"genre_scores_gemma":[0.9986221,0.00021666125,0.0002064484,0.00030723558,0.000042773456,0.0000025355944,0.00041835476,0.0000012939777,0.00018256759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989344,0.000078609555,0.00020676933,0.0003567881,0.00007815751,0.0003453061],"domain_scores_gemma":[0.9996138,0.0000991111,0.00004983351,0.00006801709,0.000046817484,0.0001223816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017286582,0.000155993,0.0002648672,0.00015372934,0.0001424987,0.000028115914,0.000083456755,0.000118657335,0.0004571657],"category_scores_gemma":[0.000040549327,0.00013117035,0.00003925031,0.00054228655,0.0001045106,0.000101038066,0.00013161883,0.00011690908,0.00001136581],"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":[0.00009541756,0.000020445821,0.9835605,0.000015812773,0.000041479598,0.00009120326,0.000097878765,0.000004318651,0.00005638888,0.000107840955,0.00006742082,0.01584131],"study_design_scores_gemma":[0.00042630066,0.0002821661,0.9937286,0.000014599346,0.0000096288395,0.00011601426,0.00082199526,0.00017907689,0.000104115665,0.00075505103,0.0034015677,0.0001609351],"about_ca_topic_score_codex":0.009257505,"about_ca_topic_score_gemma":0.5133447,"teacher_disagreement_score":0.5040872,"about_ca_system_score_codex":0.0000034662055,"about_ca_system_score_gemma":0.000034068784,"threshold_uncertainty_score":0.99733996},"labels":[],"label_agreement":null},{"id":"W3163873851","doi":"10.1111/geb.13319","title":"Botanic gardens play key roles in the regional distribution of first records of alien plants in China","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"China Sponsorship Council","keywords":"Alien; Biodiversity; Geography; Species richness; Introduced species; Taxon; Invasive species; Ecology; Alien species; China; Native plant; Biology; Archaeology; Population; Demography","score_opus":0.012327630747712957,"score_gpt":0.19600072221294187,"score_spread":0.18367309146522892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163873851","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":[0.9963159,0.001027844,2.5902148e-8,0.0013509934,0.000024395962,0.00005324594,0.0007674863,0.0000033812269,0.00045675374],"genre_scores_gemma":[0.99821115,0.0015761856,0.0000030278732,0.000067327346,0.000018971949,0.0000031418713,0.00011707266,1.0369182e-7,0.0000030354593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942684,0.00006799412,0.0001550792,0.00013597659,0.000067719215,0.00014639297],"domain_scores_gemma":[0.9997914,0.00010258078,0.00005847833,0.000014605308,0.00001760347,0.000015325437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014866593,0.000067542416,0.00015823566,0.0000071639683,0.00007213544,0.0000049791206,0.000095646574,0.0000824706,0.000023937971],"category_scores_gemma":[0.00002034449,0.000025399604,0.000058889284,0.00031196472,0.00013105862,0.000015738102,0.000046712485,0.00005179126,5.721629e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006338438,0.00011374161,0.9975834,0.000004110885,0.000012406829,0.000013076319,0.00005824601,2.577504e-7,0.00057160313,0.00037065233,0.00060913654,0.0005999666],"study_design_scores_gemma":[0.00013827781,0.00016959997,0.99374014,0.00002049665,0.000005125931,0.00002240875,0.00044871002,0.0000022701036,0.00006702228,0.0012211137,0.0041139694,0.000050839364],"about_ca_topic_score_codex":0.0005030362,"about_ca_topic_score_gemma":0.15787087,"teacher_disagreement_score":0.15736784,"about_ca_system_score_codex":0.0000053105286,"about_ca_system_score_gemma":0.0000032855696,"threshold_uncertainty_score":0.8574958},"labels":[],"label_agreement":null},{"id":"W3167213393","doi":"10.1111/geb.13316","title":"Climate and socio‐economic factors explain differences between observed and expected naturalization patterns of European plants around the world","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Taizhou University; Akademie Věd České Republiky; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Grantová Agentura České Republiky; National Natural Science Foundation of China; Eusko Jaurlaritza; Deutsche Forschungsgemeinschaft; Volkswagen Foundation; Villum Fonden","keywords":"Naturalization; Ecology; Geography; Climate change; Macroecology; Biology; Biodiversity; Demography; Sociology; Alien","score_opus":0.04114857041576309,"score_gpt":0.21363407328442818,"score_spread":0.1724855028686651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167213393","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":[0.9971833,0.0011697432,7.848934e-8,0.00041438843,0.00004644375,0.000060244667,0.0009636161,0.000016734899,0.00014542672],"genre_scores_gemma":[0.9977314,0.002000032,0.0000034826392,0.00007013626,0.000057436926,0.0000015599678,0.00013034166,3.6663374e-7,0.000005256781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993216,0.0001244562,0.00014094097,0.0002033012,0.000038550104,0.00017116245],"domain_scores_gemma":[0.999646,0.00020348286,0.00008098174,0.000014647001,0.000014303118,0.000040562445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085568885,0.00011081938,0.00018664968,0.000009604266,0.00031233393,0.000043387125,0.000069792004,0.000051561223,0.000018938465],"category_scores_gemma":[0.0000075640414,0.0000403341,0.00004046011,0.000100243175,0.00016638801,0.00004881706,0.00013078285,0.000049030932,5.9428385e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011516124,0.000010366401,0.9972012,0.000005433655,0.000046103676,0.000002645827,0.000046901903,1.46888075e-8,0.0008641611,0.00023166511,0.000028152868,0.0015518308],"study_design_scores_gemma":[0.00010373405,0.00008136511,0.9976634,0.000013084481,0.00002277459,0.0000041405065,0.0013831727,0.0000015595291,0.00011899577,0.00026733134,0.00025150453,0.00008898396],"about_ca_topic_score_codex":0.00019319323,"about_ca_topic_score_gemma":0.015909344,"teacher_disagreement_score":0.01571615,"about_ca_system_score_codex":0.000003541561,"about_ca_system_score_gemma":0.0000015320877,"threshold_uncertainty_score":0.88777876},"labels":[],"label_agreement":null},{"id":"W3172272871","doi":"10.1111/geb.13343","title":"Asymmetric responses of terrestrial C:N:P stoichiometry to precipitation change","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Precipitation; Soil water; Ecosystem; Terrestrial ecosystem; Environmental science; Global change; Ecology; Soil respiration; Climate change; Environmental chemistry; Atmospheric sciences; Soil science; Chemistry; Biology; Geology; Geography","score_opus":0.020596620497816784,"score_gpt":0.24959789992244716,"score_spread":0.2290012794246304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172272871","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":[0.9971025,0.00085267745,8.479844e-7,0.00092705723,0.00032760153,0.00013416597,0.00020936434,0.000024723164,0.00042105574],"genre_scores_gemma":[0.9987653,0.00016364662,0.00021327953,0.00066967553,0.00011040773,0.000014566087,0.000056400608,3.3991546e-7,0.00000638976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991976,0.00012731938,0.00015363043,0.00022919927,0.00010441747,0.00018781594],"domain_scores_gemma":[0.99955904,0.00018085129,0.00005719106,0.00004053755,0.00006506154,0.00009728796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016507196,0.00008982906,0.00016143503,0.00006788208,0.000080247766,0.000016583204,0.00008893774,0.0001353231,0.00003211298],"category_scores_gemma":[0.00017689624,0.000042397995,0.00009743581,0.0023708094,0.00005921354,0.00004339262,0.000078749974,0.00004407225,0.0000048159104],"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":[0.0001828959,0.00009790322,0.91739553,0.0000030256792,0.00002971922,0.000007969006,0.000014465749,1.1590732e-7,0.005939132,0.00037001894,0.00010114723,0.07585808],"study_design_scores_gemma":[0.00017475834,0.0005136086,0.99554676,0.0000043758805,0.000020502588,0.000013884734,0.000101207144,0.000011601999,0.0010132523,0.00070038,0.001808575,0.00009107855],"about_ca_topic_score_codex":0.00030480174,"about_ca_topic_score_gemma":0.0024030635,"teacher_disagreement_score":0.07815125,"about_ca_system_score_codex":0.000009574814,"about_ca_system_score_gemma":0.0000097928405,"threshold_uncertainty_score":0.172894},"labels":[],"label_agreement":null},{"id":"W3176293445","doi":"10.1111/geb.13340","title":"Regionwide temporal gradients of carbon allocation allow for shoot growth and latewood formation in boreal black spruce","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Ministère des Ressources naturelles et des Forêts; McGill University; Université du Québec à Chicoutimi","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ministère des Forêts, de la Faune et des Parcs","keywords":"Phenology; Black spruce; Taiga; Boreal; Evergreen; Ecology; Environmental science; Physical geography; Climatology; Biology; Geography; Geology","score_opus":0.00497651107389368,"score_gpt":0.19304322971617296,"score_spread":0.18806671864227928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176293445","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":[0.9981416,0.000057582158,0.000074278956,0.00028055834,0.00004350179,0.00015867165,0.00006776843,0.0000074967666,0.0011685458],"genre_scores_gemma":[0.99895793,0.00019866286,0.00056087703,0.0000757129,0.000004269586,0.000009741769,0.00018632364,0.00000198273,0.0000044930594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942297,0.000032547552,0.00016847199,0.00017427062,0.00005851413,0.00014322881],"domain_scores_gemma":[0.9998051,0.000017551707,0.0000655194,0.00006105772,0.0000109107605,0.00003987066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009093426,0.0000754544,0.00011192397,0.00004388932,0.00003875552,0.000008145299,0.000042895037,0.00010576535,0.000002408488],"category_scores_gemma":[0.000010696145,0.0000715734,0.000032504704,0.00026185488,0.00015640206,0.00010035877,0.000049422357,0.000037227288,4.4143997e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027991953,0.000055034812,0.9979812,0.000016110218,0.000011335039,0.0000043805853,0.00006392023,0.000059412807,0.0004203761,0.0010314722,0.000021978864,0.0003067782],"study_design_scores_gemma":[0.00053615525,0.00010130834,0.98670375,0.000008593789,0.000022275728,0.000027011774,0.000044033164,0.005502425,0.00035587067,0.0065282863,0.00008449957,0.00008580863],"about_ca_topic_score_codex":0.00066029216,"about_ca_topic_score_gemma":0.0043362947,"teacher_disagreement_score":0.011277477,"about_ca_system_score_codex":0.000022169927,"about_ca_system_score_gemma":0.0000052858395,"threshold_uncertainty_score":0.29186782},"labels":[],"label_agreement":null},{"id":"W3179498717","doi":"10.1111/geb.13356","title":"Precipitation manipulation and terrestrial carbon cycling: The roles of treatment magnitude, experimental duration and local climate","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Ecosystem; Primary production; Environmental science; Terrestrial ecosystem; Precipitation; Cycling; Ecosystem respiration; Carbon cycle; Soil respiration; Biomass (ecology); Productivity; Ecology; Atmospheric sciences; Respiration; Climate change; Biology; Botany; Forestry; Geology; Geography","score_opus":0.006319836429152161,"score_gpt":0.21724017742096338,"score_spread":0.21092034099181123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179498717","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":[0.9987025,0.00048620973,0.000088592315,0.00011417211,0.00006688396,0.00013924869,0.0000074266895,0.000007405691,0.00038754786],"genre_scores_gemma":[0.99831766,0.00074802636,0.0008346159,0.000049866325,0.0000124066755,0.000010881904,0.000019971445,0.0000025301956,0.000004069764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994117,0.000054280143,0.00015502586,0.00020080044,0.000060204155,0.00011797726],"domain_scores_gemma":[0.9998072,0.000021031874,0.00007019687,0.00006221785,0.0000017180085,0.000037655365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006251605,0.00009545108,0.000098240096,0.0000042160723,0.000119629454,0.0000129356795,0.000024835641,0.00007597979,0.000020110141],"category_scores_gemma":[0.0000033929205,0.00007069776,0.00002618402,0.000080046935,0.00046003083,0.000059008762,0.00008718992,0.000025589723,6.3716897e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070975235,0.000080590755,0.98647684,0.000002340024,0.00002127536,0.0000027330211,0.0001716166,0.00068430166,0.0017119126,0.00013268516,0.0000016876096,0.0106430175],"study_design_scores_gemma":[0.0005807754,0.00037950408,0.99015254,0.0000027725296,0.000046804857,0.00002593273,0.0009959419,0.006653837,0.00055396254,0.00044208288,0.00008980891,0.0000760451],"about_ca_topic_score_codex":0.00024889875,"about_ca_topic_score_gemma":0.00090660533,"teacher_disagreement_score":0.010566973,"about_ca_system_score_codex":0.00005501902,"about_ca_system_score_gemma":0.000003348793,"threshold_uncertainty_score":0.2882971},"labels":[],"label_agreement":null},{"id":"W3184017506","doi":"10.1111/geb.13345","title":"Determinants of zoogeographical boundaries differ between vertebrate groups","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":32,"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":"Agence Nationale de la Recherche; Biodiversa+","keywords":"Ecology; Orographic lift; Vertebrate; Biogeography; Biology; Biological dispersal; Fauna; Climate change; Geography; Precipitation","score_opus":0.010284935268544019,"score_gpt":0.23495753702232514,"score_spread":0.22467260175378112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184017506","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":[0.99558425,0.00021624421,0.0000041224453,0.00030088733,0.00017192664,0.000060113103,0.00060028187,0.0000238227,0.0030383416],"genre_scores_gemma":[0.9993169,0.0001815993,0.00003630142,0.00034549134,0.000013122581,0.000005890116,0.00008790137,0.0000027139636,0.000010132643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990488,0.00005879768,0.00019588739,0.00027921956,0.00012759544,0.0002896428],"domain_scores_gemma":[0.99963766,0.000027099495,0.00006381317,0.00014087967,0.000017721539,0.0001128195],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009232295,0.00012321043,0.0002328224,0.000025274705,0.00023578716,0.00003775068,0.0001116464,0.00016430324,0.0077660927],"category_scores_gemma":[0.000023935008,0.00010914521,0.000119876226,0.00056676613,0.0015222479,0.000069961956,0.00023820631,0.000066030385,0.0000764213],"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":[0.000013904737,0.000075177886,0.99584806,0.000007567664,0.000023817056,0.000018338207,0.000014031101,2.244228e-8,0.00017095242,0.0015398812,0.00096349855,0.0013247671],"study_design_scores_gemma":[0.00031826508,0.000099578094,0.9853141,0.0000032370901,0.000040177732,0.000021906322,0.00016606892,0.0000022481374,0.0007657248,0.0024402281,0.010710364,0.00011811948],"about_ca_topic_score_codex":0.0001257826,"about_ca_topic_score_gemma":0.0025544078,"teacher_disagreement_score":0.01053396,"about_ca_system_score_codex":0.000031532585,"about_ca_system_score_gemma":0.000011114336,"threshold_uncertainty_score":0.99314094},"labels":[],"label_agreement":null},{"id":"W3184816744","doi":"10.1111/geb.13360","title":"Niche overlap and divergence times support niche conservatism in eastern Asia–eastern North America disjunct plants","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":30,"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 Alberta","funders":"Youth Innovation Promotion Association; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; Youth Innovation Promotion Association of the Chinese Academy of Sciences; China Scholarship Council; East China Normal University; Sun Yat-sen University; National Natural Science Foundation of China; Carlsbergfondet; Chinese Academy of Sciences; Danmarks Frie Forskningsfond; Government of Jiangsu Province; Villum Fonden","keywords":"Niche; Disjunct; Disjunct distribution; Range (aeronautics); Ecology; Biology; Ecological niche; Macroecology; Phylogenetic tree; Species distribution; Niche differentiation; Biogeography; Population","score_opus":0.0118083179688622,"score_gpt":0.2232710800366207,"score_spread":0.2114627620677585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184816744","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":[0.988832,0.0003741372,0.0000039280394,0.0007751178,0.00017110279,0.00010469288,0.0007113611,0.000022927497,0.0090047335],"genre_scores_gemma":[0.9967295,0.0011721422,0.000027366328,0.0016466922,0.0000086571645,0.000011804402,0.00025219258,0.0000033098001,0.00014833304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882853,0.000072554074,0.00018744508,0.00041616362,0.00013521833,0.00036010693],"domain_scores_gemma":[0.99960154,0.000033202923,0.00006912972,0.00014231986,0.000009306349,0.00014447639],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000069982525,0.00016316868,0.00020587089,0.00002644963,0.000120432414,0.000031273903,0.00012120447,0.00011126285,0.010051316],"category_scores_gemma":[0.00001930653,0.00014959105,0.00005524224,0.0004163022,0.00054669543,0.0001042458,0.0003639642,0.0000945769,0.0003271657],"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":[0.000030860545,0.000102754435,0.99380505,0.000006208758,0.000021007965,0.00010513038,0.0000505945,5.654588e-7,0.00004296291,0.000076084856,0.0033611709,0.0023975985],"study_design_scores_gemma":[0.00042536514,0.00009843082,0.9761872,0.000004459946,0.000015859303,0.000049266415,0.00082893524,0.000030547646,0.00001941523,0.00014489687,0.022032332,0.00016323738],"about_ca_topic_score_codex":0.0006118434,"about_ca_topic_score_gemma":0.010906779,"teacher_disagreement_score":0.01867116,"about_ca_system_score_codex":0.00005073674,"about_ca_system_score_gemma":0.000013487718,"threshold_uncertainty_score":0.9908536},"labels":[],"label_agreement":null},{"id":"W3186352298","doi":"10.1111/geb.13358","title":"Taxonomic and phylogenetic β‐diversity of freshwater fish assemblages in relationship to geographical and climatic determinants in North America","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Forest Service; Natural Resources Canada; Fisheries and Oceans Canada","funders":"","keywords":"Nestedness; Ecology; Beta diversity; Geography; Geographical distance; Taxonomic rank; Taxon; Phylogenetic diversity; Ecoregion; Phylogenetic tree; Biology; Biodiversity; Population","score_opus":0.009465978018104232,"score_gpt":0.22244791869081257,"score_spread":0.21298194067270834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186352298","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":[0.99908066,0.00037292085,0.000008157641,0.00015597203,0.00004179491,0.00011294121,0.00019104936,0.0000020597602,0.000034442706],"genre_scores_gemma":[0.99847937,0.00039420606,0.0006725606,0.00038306304,0.0000073159486,0.000003121844,0.000055601562,0.0000018500804,0.000002908471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992548,0.00008785932,0.0001592199,0.00029115923,0.000043318556,0.00016364332],"domain_scores_gemma":[0.99972683,0.00001943655,0.00004800974,0.00010338454,0.000029029066,0.00007331651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006636254,0.00010016411,0.00017361519,0.00011311159,0.00007864171,0.000009899708,0.00006198215,0.0001674012,0.0000075811],"category_scores_gemma":[0.000036546262,0.00010469146,0.00003489825,0.00030237978,0.00018450107,0.000004301626,0.0003287683,0.00005780452,4.4828806e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048631915,0.000029174831,0.99848664,0.000021783588,0.000016439251,0.000009545689,0.000050238556,0.00001928107,0.00046399422,0.000018877696,0.00004380288,0.0007915883],"study_design_scores_gemma":[0.0004962544,0.00013891472,0.9981138,0.000006783371,0.000021027612,0.000017859995,0.00013791124,0.00001297089,0.00023448997,0.00030334576,0.00040881764,0.000107804146],"about_ca_topic_score_codex":0.00012627809,"about_ca_topic_score_gemma":0.023615584,"teacher_disagreement_score":0.023489306,"about_ca_system_score_codex":0.0000035433438,"about_ca_system_score_gemma":0.000014161371,"threshold_uncertainty_score":0.9942009},"labels":[],"label_agreement":null},{"id":"W3188696161","doi":"10.1111/geb.13366","title":"Effects of climate and topography on the diversity anomaly of plants disjunctly distributed in eastern Asia and eastern North America","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":12,"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 Alberta","funders":"China Scholarship Council; Sun Yat-sen University; National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; East China Normal University; Villum Fonden","keywords":"Species richness; Disjunct; Ecology; Geography; Anomaly (physics); Taxon; Climate change; Physical geography; Biology","score_opus":0.0037841462824670935,"score_gpt":0.1862229080164591,"score_spread":0.182438761733992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188696161","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":[0.99859136,0.00031276254,0.000007279773,0.00022099615,0.000045518682,0.00012255469,0.00020338898,0.0000045312368,0.00049160386],"genre_scores_gemma":[0.9986651,0.0011024587,0.000028341025,0.0001769861,0.0000018022822,0.000004520675,0.000018024672,0.0000011213237,0.0000016329742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993303,0.0001016238,0.00012802453,0.00021237567,0.000060538117,0.00016713438],"domain_scores_gemma":[0.9996313,0.00016438277,0.00008975821,0.000069269554,0.000007880157,0.000037427846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007294564,0.00009779749,0.00019287884,0.00003568237,0.00017238277,0.0000043024247,0.00006553986,0.000065461674,0.000012270952],"category_scores_gemma":[0.000018163108,0.0000728042,0.00003932932,0.0002850445,0.00087702257,0.00003918099,0.000440695,0.00006098467,0.0000017505064],"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":[0.000075252436,0.00011808834,0.9982323,0.000028333438,0.000059217604,0.000017794135,0.00012550324,0.0000071642157,0.000017101547,0.0001850065,0.0000107112955,0.0011235437],"study_design_scores_gemma":[0.00041257805,0.00022721528,0.9983445,0.000010802993,0.000033907403,0.0000042299775,0.00022934943,0.00010536575,0.000017366117,0.0005181869,0.000030332973,0.00006617337],"about_ca_topic_score_codex":0.00017414478,"about_ca_topic_score_gemma":0.006088844,"teacher_disagreement_score":0.0059146993,"about_ca_system_score_codex":0.0000060697075,"about_ca_system_score_gemma":0.0000025459585,"threshold_uncertainty_score":0.33977178},"labels":[],"label_agreement":null},{"id":"W3188698065","doi":"10.1111/geb.13367","title":"Reduced habitat suitability and landscape connectivity in a songbird migratory divide","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":21,"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 Lethbridge","funders":"","keywords":"Songbird; Habitat; Ecology; Range (aeronautics); Ecological niche; Geography; Subspecies; Niche; Bird migration; Ecosystem; Biology","score_opus":0.00901215648327439,"score_gpt":0.22486917602296208,"score_spread":0.2158570195396877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188698065","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":[0.99404114,0.0006188735,0.00000102607,0.001593727,0.00009959358,0.00009067012,0.00019263326,0.000025198262,0.0033371586],"genre_scores_gemma":[0.99923515,0.0001891002,0.000018195235,0.00049919955,0.000006755614,0.000013516896,0.00003172229,0.0000018078758,0.000004527767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990912,0.00010381803,0.0001186159,0.00035305932,0.00007083035,0.00026244175],"domain_scores_gemma":[0.9996853,0.000059430902,0.000029930512,0.000113627066,0.000009768631,0.000101977916],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020577759,0.00010389716,0.00016143899,0.000020626272,0.00013533456,0.000029749935,0.00005333004,0.00012019295,0.0034422874],"category_scores_gemma":[0.000073479794,0.000097656586,0.000048866274,0.00041482263,0.0005344865,0.00007982059,0.00018602064,0.00007466932,0.000044903893],"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":[0.00002307676,0.0001522433,0.99638146,0.000006267244,0.000008425286,0.000020535781,0.000034752127,1.5732198e-7,0.0005368465,0.00034872978,0.0017416786,0.00074584427],"study_design_scores_gemma":[0.00053351297,0.00005428152,0.9937377,0.0000023789821,0.000009657112,0.000027739285,0.00058656046,0.0000040285067,0.00016436678,0.0014533708,0.0033153966,0.000111035864],"about_ca_topic_score_codex":0.00033539205,"about_ca_topic_score_gemma":0.05184154,"teacher_disagreement_score":0.051506143,"about_ca_system_score_codex":0.00007211611,"about_ca_system_score_gemma":0.000011587312,"threshold_uncertainty_score":0.9974687},"labels":[],"label_agreement":null},{"id":"W3189507770","doi":"10.1111/geb.13370","title":"The ghost of a giant – Six hypotheses for how an extinct megaherbivore structured kelp forests across the North Pacific Rim","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tula Foundation; University of Victoria; Sciencetech (Canada); Bamfield Marine Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Hakai Institute","keywords":"Kelp forest; Kelp; Megafauna; Ecology; Ecosystem; Geography; Extinction (optical mineralogy); Marine ecosystem; Biology; Fishery","score_opus":0.009643886034994038,"score_gpt":0.21374363774380373,"score_spread":0.2040997517088097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189507770","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":[0.992909,0.0013854703,0.000007799062,0.0012469359,0.00033851524,0.00024167367,0.0028639364,0.000015460959,0.0009912236],"genre_scores_gemma":[0.9987225,0.00032258878,0.00009850503,0.00026634103,0.000073204974,0.0000054287852,0.00043959354,0.0000017091555,0.000070143615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988729,0.00014254067,0.00016902605,0.0002959296,0.00008626293,0.0004333792],"domain_scores_gemma":[0.9990823,0.00040374612,0.00011435038,0.00022820114,0.000086857384,0.00008454661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022952445,0.00015651269,0.00020981023,0.000019235098,0.0006233551,0.00008541909,0.0002755969,0.00014049545,0.000070951195],"category_scores_gemma":[0.000071104274,0.000078818855,0.00012957302,0.00031919996,0.00064970437,0.00007306153,0.000050144004,0.000093388735,0.0000017847069],"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":[0.0001930332,0.000015816717,0.9121587,0.000013521329,0.00007783051,0.000012540181,0.00004299013,0.0000053123877,0.000019837475,0.00035986493,0.00037828818,0.08672223],"study_design_scores_gemma":[0.00026010734,0.00046092484,0.96308583,0.0000023942905,0.000027796315,0.00009489189,0.0010626486,0.000118160744,0.000036157333,0.0038709964,0.030871274,0.000108818174],"about_ca_topic_score_codex":0.0015137979,"about_ca_topic_score_gemma":0.57693994,"teacher_disagreement_score":0.57542616,"about_ca_system_score_codex":0.0000011311871,"about_ca_system_score_gemma":0.000048889437,"threshold_uncertainty_score":0.47944063},"labels":[],"label_agreement":null},{"id":"W3197335517","doi":"10.1111/geb.13378","title":"Stoichiometric models of microbial metabolic limitation in soil systems","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":221,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Newfoundland and Labrador","funders":"National Natural Science Foundation of China","keywords":"Ecosystem; Ecology; Environmental science; Biodiversity; Soil science; Biology","score_opus":0.012038792637522236,"score_gpt":0.20166148952564333,"score_spread":0.1896226968881211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197335517","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":[0.993702,0.0051661003,0.0000019020387,0.0001446701,0.00017422978,0.00008828349,0.00014959165,0.00001601982,0.00055723457],"genre_scores_gemma":[0.9988657,0.0008001812,0.00006315733,0.00013214664,0.000029891844,0.0000071679087,0.00009652159,3.3317707e-7,0.0000048554325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992251,0.000093975395,0.00020238984,0.00021007126,0.00007676183,0.00019174717],"domain_scores_gemma":[0.9996722,0.00008340707,0.00007056724,0.00003352021,0.000090209,0.00005011115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015244186,0.000090963564,0.00021924896,0.00006357812,0.00004945487,0.00001786327,0.00007781692,0.00015623243,0.000009432262],"category_scores_gemma":[0.000028194267,0.00004338183,0.00009496906,0.0020754845,0.00008564784,0.00005887783,0.000049044334,0.00005614975,0.0000018814081],"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":[0.000035811026,0.00018387967,0.9703503,0.0000116355495,0.00005094323,0.000012603843,0.000017570861,0.00011580544,0.012441511,0.010527746,0.00004392852,0.0062082456],"study_design_scores_gemma":[0.00032309446,0.000091175,0.9946898,0.000005711373,0.000025749046,0.000026855927,0.00021506028,0.0013413898,0.00031373923,0.002625818,0.00023916272,0.00010241106],"about_ca_topic_score_codex":0.0008225657,"about_ca_topic_score_gemma":0.007730548,"teacher_disagreement_score":0.024339514,"about_ca_system_score_codex":0.000008185828,"about_ca_system_score_gemma":0.000012474161,"threshold_uncertainty_score":0.43138272},"labels":[],"label_agreement":null},{"id":"W3203409826","doi":"10.1111/geb.13408","title":"Biodiversity alleviates the decrease of grassland multifunctionality under grazing disturbance: A global meta‐analysis","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Grazing; Biodiversity; Conservation grazing; Grassland; Ecosystem; Disturbance (geology); Ecology; Threatened species; Environmental science; Arid; Livestock; Agroforestry; Biology; Agronomy; Habitat","score_opus":0.014192334798976698,"score_gpt":0.2355707812641845,"score_spread":0.2213784464652078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203409826","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":[0.992657,0.002600149,0.00028499914,0.0024598327,0.00010087908,0.00009381352,0.00046617351,0.000017021977,0.0013201301],"genre_scores_gemma":[0.9984023,0.00029145862,0.00030975064,0.0009120935,0.0000040971413,0.000009619234,0.000058007616,6.917062e-7,0.000011989712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901515,0.00018449541,0.00017067672,0.0003222414,0.000112507354,0.00019492493],"domain_scores_gemma":[0.99947625,0.00015051861,0.00010930062,0.00015080125,0.000039514543,0.000073634124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024822244,0.00012787292,0.00033002035,0.000021101943,0.0004663034,0.000011587143,0.00011627316,0.00010595761,0.00053100375],"category_scores_gemma":[0.000052089163,0.00008723411,0.0004420432,0.0010457528,0.001061627,0.00006199676,0.0002533517,0.00006304936,0.000015700094],"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":[0.000024665678,0.000118667,0.98064667,0.000004225727,0.016906168,0.000005697849,0.0000148935815,0.00033136518,0.000003499445,0.0014786242,0.00044142723,0.00002412033],"study_design_scores_gemma":[0.0002194338,0.000027760081,0.97241044,3.1710454e-7,0.0154180005,0.00000738728,0.00015499575,0.00008631258,0.0000048139837,0.0114038065,0.00017796564,0.00008874963],"about_ca_topic_score_codex":0.00086490443,"about_ca_topic_score_gemma":0.04241751,"teacher_disagreement_score":0.041552607,"about_ca_system_score_codex":0.000032939373,"about_ca_system_score_gemma":0.000014574738,"threshold_uncertainty_score":0.9750559},"labels":[],"label_agreement":null},{"id":"W3212244089","doi":"10.1111/geb.13422","title":"Carbon and nitrogen dynamics in tropical ecosystems following fire","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Ecosystem; Tropical savanna climate; Biogeochemical cycle; Environmental science; Tropics; Ecology; Fire regime; Soil carbon; Nitrogen cycle; Nitrogen; Soil water; Biology; Chemistry; Soil science","score_opus":0.0025730120474775314,"score_gpt":0.1890540695559696,"score_spread":0.18648105750849206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212244089","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":[0.9957691,0.0008073612,0.0000010165745,0.00025842493,0.00034406676,0.00016713206,0.00003878477,0.000027904583,0.0025862076],"genre_scores_gemma":[0.9996335,0.000059637146,0.00008678093,0.00015073281,0.00001774412,0.00001706005,0.000022465527,0.0000048627967,0.000007222537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988403,0.00015562453,0.00019013714,0.00039260017,0.00009972359,0.0003216364],"domain_scores_gemma":[0.9996617,0.000055574943,0.000040353247,0.00013296709,0.0000040503837,0.000105347506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014203986,0.00013963439,0.00024553225,0.000030104038,0.00008197852,0.000025236217,0.00008057389,0.00019819044,0.000036145724],"category_scores_gemma":[0.000028666022,0.00013381358,0.00006720853,0.00043515957,0.000121994744,0.000063498,0.00017459055,0.00009906339,0.000013697277],"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":[0.000009089082,0.000062285486,0.99690545,0.000013882955,0.000028407794,0.00018478898,0.000010651934,0.0000011257973,0.000065274005,0.00017168997,0.000052289055,0.0024950837],"study_design_scores_gemma":[0.00059556385,0.00010277141,0.9903854,0.000014285164,0.000022160075,0.00011863507,0.000087471075,0.0069738366,0.000016470864,0.00088040996,0.00064791663,0.00015504383],"about_ca_topic_score_codex":0.0027394132,"about_ca_topic_score_gemma":0.061523188,"teacher_disagreement_score":0.058783777,"about_ca_system_score_codex":0.00014794049,"about_ca_system_score_gemma":0.000008688637,"threshold_uncertainty_score":0.9556016},"labels":[],"label_agreement":null},{"id":"W3212878742","doi":"10.1111/geb.13424","title":"Bioregions are predominantly climatic for fishes of northern lakes","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","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":true,"ca_institutions":"Ministry of Energy, Northern Development and Mines; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Minnesota Department of Natural Resources","keywords":"Ecology; Geography; Habitat; Climate change; Spatial ecology; Community structure; Biology","score_opus":0.006528584062222687,"score_gpt":0.20680682888477492,"score_spread":0.20027824482255224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212878742","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":[0.99181205,0.0001652811,0.000040622235,0.0024381422,0.0001398061,0.00021381438,0.0001347825,0.000018066212,0.005037426],"genre_scores_gemma":[0.998107,0.00026256908,0.0007104784,0.00077040534,0.000009266038,0.0000504193,0.000017495131,0.0000024392202,0.00006989368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993411,0.000032714037,0.0001448247,0.00022942713,0.000043285858,0.0002086526],"domain_scores_gemma":[0.9996769,0.00007374717,0.000091213624,0.00010929128,0.000017056744,0.000031793403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009260375,0.00009203316,0.0001889529,0.000021757787,0.00020199319,0.0000051919706,0.00008581713,0.000089293375,0.00014132806],"category_scores_gemma":[0.000054811117,0.00008017103,0.00008935195,0.00024354903,0.0005856708,0.000050406896,0.00017900574,0.00002832481,0.000013542459],"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":[0.000022831688,0.0001295819,0.98716074,0.000032377673,0.000091487505,0.000008701153,0.00003127762,0.0000045533216,0.000025524656,0.0005347356,0.011573044,0.0003851449],"study_design_scores_gemma":[0.00035825334,0.00013228843,0.9865473,0.00000634705,0.00008416287,0.000007750069,0.00033702975,0.000013552082,0.00005369324,0.006825617,0.0055493847,0.00008464597],"about_ca_topic_score_codex":0.000029897314,"about_ca_topic_score_gemma":0.03416327,"teacher_disagreement_score":0.03413337,"about_ca_system_score_codex":0.000012991352,"about_ca_system_score_gemma":0.000005174582,"threshold_uncertainty_score":0.9834607},"labels":[],"label_agreement":null},{"id":"W3216401123","doi":"10.1111/geb.13426","title":"Geographical homogenization but little net change in the local richness of Canadian butterflies","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Generalist and specialist species; Ecology; Biodiversity; Range (aeronautics); Species diversity; Butterfly; Beta diversity; Biology; Geography; Gamma diversity; Global biodiversity; Taxon; Habitat","score_opus":0.022302921657294524,"score_gpt":0.19599849951629583,"score_spread":0.1736955778590013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216401123","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":[0.9924049,0.0020673547,2.1279666e-7,0.00430629,0.000049809103,0.00008505864,0.00041992,0.000008106839,0.00065834756],"genre_scores_gemma":[0.99754035,0.0011836463,0.00000812126,0.0011030509,0.00006096727,0.000012967682,0.00008880959,1.9738e-7,0.0000018803892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993298,0.00007898808,0.000116704214,0.00016830699,0.000067172004,0.00023903008],"domain_scores_gemma":[0.99978554,0.000067425404,0.00003003765,0.00001819755,0.000046355184,0.000052448846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011713843,0.00008442941,0.0001384743,0.000042350162,0.00017178932,0.000018203851,0.00011409054,0.0001195837,0.000037819744],"category_scores_gemma":[0.000012744304,0.000032055355,0.0000605622,0.001580729,0.0002364051,0.00003711248,0.00004503692,0.000059655544,0.0000021844248],"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":[0.000009950196,0.00004164819,0.99121916,0.0000034069435,0.000014275822,0.000023892464,0.000036612717,1.03924e-7,0.00030085785,0.0015108348,0.00015860393,0.006680673],"study_design_scores_gemma":[0.000071746,0.00011160525,0.9891905,0.0000053671647,0.000012396493,0.000025759955,0.00056653086,0.0000039673123,0.00005508433,0.0007204757,0.009163993,0.00007255149],"about_ca_topic_score_codex":0.062267613,"about_ca_topic_score_gemma":0.8404461,"teacher_disagreement_score":0.77817845,"about_ca_system_score_codex":0.00000489966,"about_ca_system_score_gemma":0.000007766729,"threshold_uncertainty_score":0.9439768},"labels":[],"label_agreement":null},{"id":"W4200379083","doi":"10.1111/geb.13437","title":"A null model for quantifying the geometric effect of habitat subdivision on species diversity","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Species richness; Species evenness; Habitat; Subdivision; Species diversity; Ecology; Habitat fragmentation; Abundance (ecology); Null model; Fragmentation (computing); Beta diversity; Alpha diversity; Biology; Geography","score_opus":0.016777696588833792,"score_gpt":0.2447610299656855,"score_spread":0.2279833333768517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200379083","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":[0.99711496,0.00021938587,0.00059309514,0.00039333885,0.0001388876,0.00018083402,0.000080194484,0.000010170963,0.0012691607],"genre_scores_gemma":[0.99924713,0.00018351887,0.00022033471,0.00028481384,0.00000511688,0.000010694952,0.000010275374,0.0000014972265,0.00003659779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993455,0.000077532684,0.00010449913,0.00021723303,0.00008010223,0.00017516837],"domain_scores_gemma":[0.99933624,0.00046050487,0.00006319801,0.00009581057,0.000017642422,0.000026600952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031321548,0.00009213347,0.00016412295,0.000044702665,0.0006275997,0.0000062655176,0.000105669475,0.00008867818,0.000033860822],"category_scores_gemma":[0.00012237186,0.000061709514,0.00011556069,0.00048497776,0.00046722693,0.00004014242,0.000378509,0.000056879904,0.000008652434],"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":[0.00008050422,0.00005362948,0.9960732,0.0000141018145,0.000049474496,0.0000019112406,0.000049853355,0.00056101463,0.00003956707,0.0020753369,0.0004891779,0.0005122134],"study_design_scores_gemma":[0.00041938797,0.00039047742,0.99019426,0.0000031326424,0.00005714591,0.0000028588058,0.00004696008,0.0056217834,0.00012180533,0.0030140688,0.00006226281,0.00006587673],"about_ca_topic_score_codex":0.000023574528,"about_ca_topic_score_gemma":0.002301965,"teacher_disagreement_score":0.0058789756,"about_ca_system_score_codex":0.000022038972,"about_ca_system_score_gemma":0.0000039285346,"threshold_uncertainty_score":0.48270532},"labels":[],"label_agreement":null},{"id":"W4200424363","doi":"10.1111/geb.13441","title":"Warming effects on grassland productivity depend on plant diversity","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Grassland; Biodiversity; Ecology; Global warming; Dominance (genetics); Productivity; Ecosystem; Biology; Climate change; Environmental science","score_opus":0.004993178491009683,"score_gpt":0.19720643358598236,"score_spread":0.19221325509497267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200424363","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":[0.9925547,0.00008213306,0.000006919707,0.0009447545,0.00035453166,0.00011508181,0.000050839342,0.00002649858,0.0058645466],"genre_scores_gemma":[0.9990392,0.00008817104,0.00008171186,0.0007135813,0.000020568363,0.0000072887924,0.00001773157,0.0000016767913,0.000030099478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991329,0.00010635825,0.00007115511,0.00037727127,0.00008740737,0.00022492572],"domain_scores_gemma":[0.99965554,0.00013551259,0.000039896222,0.00010497708,0.0000072983757,0.00005674344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013450069,0.000115649374,0.00014232966,0.000026897394,0.0006652014,0.000007695497,0.00006939432,0.000109530534,0.00006020433],"category_scores_gemma":[0.000055105018,0.00010028558,0.00005278435,0.00022180207,0.000204925,0.000048153055,0.0003478289,0.00010713374,0.00007471784],"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":[0.000055471384,0.0001494745,0.9960798,0.00000794705,0.000055785746,0.00009688205,0.000034314067,0.000030442818,0.00005094822,0.00096302084,0.00055242126,0.0019234606],"study_design_scores_gemma":[0.00034483286,0.0002851908,0.99289155,0.000005025411,0.000029827159,0.000023551012,0.000018881079,0.00001901848,0.00036793394,0.00534988,0.00055331277,0.00011099275],"about_ca_topic_score_codex":0.00006080498,"about_ca_topic_score_gemma":0.00601899,"teacher_disagreement_score":0.0064844764,"about_ca_system_score_codex":0.000036707355,"about_ca_system_score_gemma":0.0000047231806,"threshold_uncertainty_score":0.5116259},"labels":[],"label_agreement":null},{"id":"W4200536161","doi":"10.1111/geb.13438","title":"Globally limited individual and combined effects of multiple global change factors on allometric biomass partitioning","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Biomass (ecology); Allometry; Biomass partitioning; Ecosystem; Ecology; Biology; Environmental science","score_opus":0.011553179211715217,"score_gpt":0.22262216780837138,"score_spread":0.21106898859665615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200536161","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":[0.99745655,0.00064588216,0.000011867557,0.0003147278,0.00027618487,0.0002083773,0.00020421958,0.000032223357,0.00084993726],"genre_scores_gemma":[0.99876356,0.00026278288,0.00024781015,0.0006117072,0.000008851963,0.000022359256,0.000077254,0.000002608455,0.000003092501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890286,0.00011877117,0.0001887608,0.0003572967,0.00014027058,0.00029204416],"domain_scores_gemma":[0.99940693,0.00025879196,0.00010990271,0.00010129909,0.000023921653,0.00009915697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012300417,0.00016916619,0.00025146746,0.00007006815,0.0002600082,0.000017872544,0.00009924241,0.00019955277,0.000039723964],"category_scores_gemma":[0.00018784202,0.0001544952,0.0000720248,0.001218049,0.00057339965,0.000090313486,0.00027681788,0.000067475674,0.000008940822],"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":[0.00003733308,0.00023557009,0.9970155,0.000025757347,0.00016404249,0.00002152691,0.000061400046,0.0000024443682,0.00005705762,0.0014114053,0.000103371225,0.0008646223],"study_design_scores_gemma":[0.0009945804,0.00059140334,0.9957152,0.00001122294,0.00008221277,0.0000098188,0.000075926924,0.000050727234,0.00013849512,0.0020812403,0.00010567652,0.00014349552],"about_ca_topic_score_codex":0.00019481304,"about_ca_topic_score_gemma":0.003039874,"teacher_disagreement_score":0.0028450608,"about_ca_system_score_codex":0.000040316234,"about_ca_system_score_gemma":0.0000075571415,"threshold_uncertainty_score":0.6300131},"labels":[],"label_agreement":null},{"id":"W4205776310","doi":"10.1111/geb.13453","title":"Biotic factors limit the invasion of the plague pathogen (<i>Yersinia pestis</i>) in novel geographical settings","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Niche; Ecology; Ecological niche; Yersinia pestis; Biology; Range (aeronautics); Environmental niche modelling; Host (biology); Macroecology; Plague (disease); Geography; Biogeography; Habitat","score_opus":0.007546275778371007,"score_gpt":0.22324432688978343,"score_spread":0.21569805111141244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205776310","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":[0.9965359,0.0005786491,0.0000036094855,0.0013738513,0.00024936206,0.00039524128,0.00072963804,0.000008237199,0.0001254903],"genre_scores_gemma":[0.9989383,0.000090410926,0.000056959645,0.0006786824,0.000029426908,0.000026617232,0.00016265264,0.000008781326,0.000008152397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826294,0.0003209537,0.000282763,0.00045780835,0.00023237758,0.0004431571],"domain_scores_gemma":[0.9992491,0.000091747985,0.00013445488,0.00039031645,0.00005331876,0.00008103397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000510421,0.00019627095,0.00021458261,0.00012964472,0.0004214094,0.00001926211,0.00057947927,0.00022519141,0.000027624725],"category_scores_gemma":[0.00013073593,0.00013183073,0.0002106239,0.0009961866,0.0007089815,0.0000055093647,0.0008725142,0.00034278337,9.734256e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014347986,0.00017138661,0.8924294,0.000013024339,0.0000509512,0.0000037052673,0.00005268715,0.000022271764,0.106606774,0.00009125866,0.0002998673,0.00011515657],"study_design_scores_gemma":[0.0006236573,0.00049919926,0.989234,0.0000059600575,0.00003125678,0.0000782973,0.00029239414,0.000018674345,0.0038276978,0.0001171336,0.0051187994,0.00015298587],"about_ca_topic_score_codex":0.00028402358,"about_ca_topic_score_gemma":0.0010023183,"teacher_disagreement_score":0.102779076,"about_ca_system_score_codex":0.000027953734,"about_ca_system_score_gemma":0.00013561078,"threshold_uncertainty_score":0.5375901},"labels":[],"label_agreement":null},{"id":"W4213080778","doi":"10.1111/geb.13458","title":"Fire severity and its local extent are key to assessing impacts of Australian mega‐fires on koala (<i>Phascolarctos cinereus</i>) density","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":33,"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 Victoria; University of British Columbia","funders":"","keywords":"Phascolarctos cinereus; Fire regime; Ecology; Geography; Habitat; Physical geography; Fire ecology; Biology; Ecosystem; Demography","score_opus":0.006364226090453118,"score_gpt":0.22843056980020976,"score_spread":0.22206634370975664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213080778","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":[0.99772125,0.00014240366,0.0000032746325,0.0009580624,0.00026031653,0.00044696633,0.00020614114,0.00003475889,0.00022682197],"genre_scores_gemma":[0.99904096,0.000018052227,0.00007169115,0.0007967493,0.00001632777,0.000027280415,0.000010520031,0.00000654003,0.00001187964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983004,0.0002761948,0.00023378614,0.0004967241,0.00027461722,0.00041832885],"domain_scores_gemma":[0.99930584,0.000073889125,0.00014969302,0.00019413319,0.0000135452,0.0002628787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043522718,0.00021274791,0.00032739708,0.000064794964,0.00041929985,0.000031186864,0.00019573625,0.00012009982,0.0002134801],"category_scores_gemma":[0.000048876645,0.00019879571,0.000083841776,0.00057628716,0.00023440919,0.00014222499,0.0005062153,0.00018396317,0.000013328509],"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":[0.00010784518,0.00019939528,0.9923967,0.00003189985,0.000039540926,0.00005893183,0.000059426387,0.00008639564,0.0015403351,0.000027204269,0.0021517572,0.0033005292],"study_design_scores_gemma":[0.00041262293,0.0007121564,0.99572116,0.000023657918,0.00003186102,0.00009079927,0.00018171445,0.00028481978,0.0006132118,0.00010412415,0.0016186611,0.00020520978],"about_ca_topic_score_codex":0.002206622,"about_ca_topic_score_gemma":0.0034824132,"teacher_disagreement_score":0.0033244223,"about_ca_system_score_codex":0.0001458894,"about_ca_system_score_gemma":0.000014125291,"threshold_uncertainty_score":0.81066537},"labels":[],"label_agreement":null},{"id":"W4213166058","doi":"10.1111/geb.13461","title":"Tree diversity effects on soil microbial biomass and respiration are context dependent across forest diversity experiments","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec en Outaouais; Université du Québec à Montréal","funders":"Agencia Nacional de Investigación y Desarrollo; Deutsche Forschungsgemeinschaft; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; National Science Foundation","keywords":"Environmental science; Biomass (ecology); Ecology; Abiotic component; Context (archaeology); Soil carbon; Soil ecology; Soil biology; Soil water; Soil organic matter; Biology; Soil biodiversity","score_opus":0.00839061504208007,"score_gpt":0.21965672193064004,"score_spread":0.21126610688855996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213166058","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":[0.99831915,0.00019801225,0.000008997186,0.0004103386,0.00029983363,0.00022102143,0.00016635074,0.000024952202,0.0003513168],"genre_scores_gemma":[0.99857736,0.000026189866,0.000015366686,0.0013064961,0.00000997228,0.000020378913,0.000017152663,0.0000019989677,0.000025089143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990107,0.00014363181,0.00008778339,0.00037478507,0.00012782766,0.00025527863],"domain_scores_gemma":[0.9996924,0.00005971414,0.00008761784,0.00008847181,0.000007494289,0.00006434895],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00019981734,0.00013013765,0.00015944075,0.00003485557,0.0035192245,0.000012666471,0.00013804241,0.000093913666,0.00006391332],"category_scores_gemma":[0.000011422775,0.00013124516,0.00006450824,0.00017211014,0.0004484326,0.00008211206,0.0029965828,0.000098284756,0.000014165019],"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":[0.00019233098,0.00013592154,0.9968526,0.000006241151,0.00008788012,0.00002886143,0.00038535832,0.00003083237,0.00012537152,0.00013684036,0.00077709917,0.0012406647],"study_design_scores_gemma":[0.001130229,0.0005394707,0.99643445,0.0000014109063,0.000034101125,0.0000074460954,0.00063189265,0.00002653374,0.00009275886,0.00065910345,0.00030910916,0.00013348134],"about_ca_topic_score_codex":0.0008242468,"about_ca_topic_score_gemma":0.033438373,"teacher_disagreement_score":0.032614127,"about_ca_system_score_codex":0.00009055022,"about_ca_system_score_gemma":0.0000026176367,"threshold_uncertainty_score":0.99777806},"labels":[],"label_agreement":null},{"id":"W4213430909","doi":"10.1111/geb.13456","title":"Avian seed dispersal may be insufficient for plants to track future temperature change on tropical mountains","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"H2020 European Research Council; Leibniz-Gemeinschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; Louisiana State University; European Commission; Alexander von Humboldt-Stiftung; Deutscher Akademischer Austauschdienst; Universiteit van Amsterdam; National Science Foundation","keywords":"Biological dispersal; Frugivore; Climate change; Ecology; Seed dispersal; Biology; Canopy; Biosphere; Environmental science; Habitat","score_opus":0.014531030777837212,"score_gpt":0.24326299359129072,"score_spread":0.2287319628134535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213430909","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":[0.9815626,0.00006487569,8.385585e-7,0.009613688,0.00060857035,0.000549509,0.0064775203,0.00004472331,0.0010776888],"genre_scores_gemma":[0.98474306,0.000034894256,0.000017022414,0.014435565,0.000101157486,0.00025429035,0.00038647492,0.0000051069733,0.00002242411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988409,0.00005218426,0.000119618286,0.0004005356,0.0001841928,0.00040256212],"domain_scores_gemma":[0.99964744,0.000017074879,0.000035780784,0.00012773855,0.0000060132243,0.00016597402],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007950446,0.0001597466,0.00015468021,0.00004752102,0.0005522158,0.000025834512,0.00018419475,0.00012582068,0.005972774],"category_scores_gemma":[0.0000061969863,0.00013811207,0.00010601741,0.00040342836,0.0001527326,0.00003953834,0.00019099272,0.0001370557,0.000051544397],"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":[0.00046455473,0.00059265847,0.97639704,0.000005730175,0.000025186913,0.000017458626,0.00031370248,0.0000051432444,0.00039834148,0.0058551384,0.01519765,0.00072738103],"study_design_scores_gemma":[0.00046765225,0.00090541405,0.7710919,9.4234565e-7,0.000010228697,0.000016813787,0.0024546166,0.000008201676,0.00002786635,0.00002959406,0.22485013,0.0001366762],"about_ca_topic_score_codex":0.00009142333,"about_ca_topic_score_gemma":0.0017830859,"teacher_disagreement_score":0.20965248,"about_ca_system_score_codex":0.00027028524,"about_ca_system_score_gemma":0.0000048903376,"threshold_uncertainty_score":0.9949359},"labels":[],"label_agreement":null},{"id":"W4214515118","doi":"10.1111/geb.13471","title":"Environmental filtering drives assembly of diatom communities over evolutionary time‐scales","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Museum of Nature","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Natural Environment Research Council; Sight Research UK","keywords":"Ecology; Species richness; Phylogenetic tree; Community structure; Biology; Extinction (optical mineralogy); Taxon; Macroevolution; Competition (biology); Community; Macroecology; Niche; Phylogenetics; Ecosystem; Paleontology","score_opus":0.0062781763033620186,"score_gpt":0.22647007146691644,"score_spread":0.22019189516355442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214515118","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":[0.9967812,0.0010782653,0.0000018674843,0.0000677575,0.00011593924,0.00008625929,0.00125874,0.000022877355,0.00058709976],"genre_scores_gemma":[0.9994746,0.00016073162,0.00016563736,0.00008838141,0.00001484154,0.000024788562,0.00005456396,0.0000033964732,0.0000130592425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911314,0.00018318865,0.00014335591,0.00014077891,0.000174423,0.00024509217],"domain_scores_gemma":[0.99967265,0.00007796804,0.000059161037,0.0001302391,0.000006852115,0.000053102176],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021450203,0.00008882293,0.00015375533,0.00008237017,0.0004076041,0.000016716634,0.0002199508,0.000043233387,0.0019250482],"category_scores_gemma":[0.000003262468,0.000084537045,0.00007418158,0.00014151743,0.0005428829,0.000088800676,0.00063160603,0.00008078954,0.000020049785],"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":[0.00005578453,0.00022887463,0.9477849,0.000013860144,0.000032694425,0.000008508634,0.00007113377,0.00002210473,0.049486686,0.0009543289,0.0008384553,0.0005026416],"study_design_scores_gemma":[0.0002497955,0.0002771128,0.9945038,0.0000033087838,0.000009955034,0.00002073153,0.00060908037,0.000103724204,0.0010191011,0.0007882007,0.0023111047,0.00010409672],"about_ca_topic_score_codex":0.00020403658,"about_ca_topic_score_gemma":0.000042539603,"teacher_disagreement_score":0.048467584,"about_ca_system_score_codex":0.000027286575,"about_ca_system_score_gemma":0.00001722033,"threshold_uncertainty_score":0.9989873},"labels":[],"label_agreement":null},{"id":"W4220682160","doi":"10.1111/geb.13477","title":"Tropicalization of temperate reef fish communities facilitated by urchin grazing and diversity of thermal affinities","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":25,"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 Victoria; Memorial University of Newfoundland","funders":"","keywords":"Ecology; Kelp; Temperate climate; Habitat; Kelp forest; Reef; Effects of global warming on oceans; Biology; Biodiversity; Climate change; Global warming","score_opus":0.008703761572841699,"score_gpt":0.17433802425786457,"score_spread":0.16563426268502288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220682160","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":[0.9938765,0.0003202266,0.0000019604543,0.00008834009,0.00005657048,0.00005903568,0.0039736843,0.000009599989,0.0016140823],"genre_scores_gemma":[0.9988564,0.00021558329,0.000016938724,0.00025230806,0.0000028566226,5.6539693e-7,0.00064342323,3.8261743e-7,0.000011529227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940825,0.00020690313,0.0001263324,0.00008559769,0.000057429235,0.00011546406],"domain_scores_gemma":[0.99975723,0.00008084591,0.0000654975,0.000049721504,0.000019021498,0.000027681011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012412603,0.0000660528,0.00014881682,0.000054664357,0.00036292739,0.0000050474655,0.00009693975,0.00004516009,0.00029953333],"category_scores_gemma":[0.0000053948625,0.000056944213,0.000029432826,0.00015417255,0.0003954891,0.000044747714,0.00016030214,0.000067490124,2.2797865e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001376409,0.000019009482,0.99549454,0.00001500653,0.00003690887,0.0000012694651,0.00017250008,0.000020250876,0.00004600211,0.00017385073,0.00022554497,0.0036574877],"study_design_scores_gemma":[0.00024227076,0.0005812336,0.9948576,0.0000015840233,0.000015799409,0.000009828689,0.0019223527,0.00012170553,0.000021732061,0.0006374315,0.0015252958,0.00006318352],"about_ca_topic_score_codex":0.018727666,"about_ca_topic_score_gemma":0.019722093,"teacher_disagreement_score":0.0049799127,"about_ca_system_score_codex":8.5897096e-7,"about_ca_system_score_gemma":0.000008283868,"threshold_uncertainty_score":0.9981654},"labels":[],"label_agreement":null},{"id":"W4220993955","doi":"10.1111/geb.13487","title":"Global soil microbiomes: A new frontline of biome‐ecology research","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"European Regional Development Fund; Tartu Ülikool; Ministry of Science and Higher Education of the Russian Federation; Vetenskapsrådet; Eesti Teadusagentuur","keywords":"Biome; Microbiome; Biodiversity; Ecology; Biology; Grassland; Taxon; Community structure; Ecosystem","score_opus":0.014732303366342623,"score_gpt":0.2515884745197819,"score_spread":0.23685617115343927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220993955","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":[0.9933955,0.0007275911,0.000003938964,0.0012520206,0.00031091776,0.0002742871,0.0010385944,0.000028392074,0.0029687716],"genre_scores_gemma":[0.99734914,0.00026801304,0.0015771537,0.00058778515,0.000018830084,0.00001947903,0.00004996926,0.0000037081252,0.00012590495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809384,0.00025619823,0.00023651317,0.00053705095,0.00030819472,0.0005681805],"domain_scores_gemma":[0.9994598,0.00006211661,0.00009743403,0.00022323093,0.000008525066,0.00014887644],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004825181,0.00017267176,0.00027265513,0.00010717127,0.0007426842,0.000008136412,0.00045921365,0.00013260636,0.002454606],"category_scores_gemma":[0.000022098784,0.00017397912,0.00012023241,0.0013633005,0.0028386696,0.00006507178,0.0026584838,0.00015948061,0.00014349114],"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":[0.000101942336,0.00028478875,0.94442225,0.0000045655074,0.000090755944,0.000021422411,0.00007285232,0.000034207147,0.00083244365,0.00017077336,0.052925143,0.0010388824],"study_design_scores_gemma":[0.0007100608,0.0008446756,0.95746547,0.0000013134562,0.000032663414,0.00004306076,0.0008210462,0.0000036265674,0.000078734054,0.002612976,0.037229102,0.00015729057],"about_ca_topic_score_codex":0.0037912566,"about_ca_topic_score_gemma":0.002563979,"teacher_disagreement_score":0.015696041,"about_ca_system_score_codex":0.0003854878,"about_ca_system_score_gemma":0.000015292604,"threshold_uncertainty_score":0.999875},"labels":[],"label_agreement":null},{"id":"W4221065167","doi":"10.1111/geb.13482","title":"How well do species distribution models predict occurrences in exotic ranges?","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Transferability; Range (aeronautics); Species distribution; Ecology; Taxon; Environmental niche modelling; Macroecology; Introduced species; Taxonomic rank; Environmental science; Geography; Biology; Biodiversity; Habitat; Statistics; Ecological niche; Mathematics","score_opus":0.01856382904245619,"score_gpt":0.20601572218926428,"score_spread":0.1874518931468081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221065167","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":[0.9836996,0.0004951508,0.000024792776,0.0013919185,0.00031088607,0.0001942974,0.0026119987,0.000038419963,0.011232905],"genre_scores_gemma":[0.9988213,0.00036962965,0.0000065238887,0.0002158661,0.000012254194,0.000056014254,0.00046947345,0.0000018542812,0.000047069323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891716,0.00009596876,0.0001272298,0.00032688733,0.00019528116,0.0003374451],"domain_scores_gemma":[0.9997224,0.000021329586,0.000061794744,0.00011063686,0.0000056331673,0.00007817457],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019480228,0.00012656288,0.00014477599,0.00003631769,0.00030508218,0.000049027087,0.00018789354,0.00006970789,0.010870709],"category_scores_gemma":[0.0000101535325,0.00011887283,0.00007180147,0.00072115695,0.00045008122,0.00015450173,0.00031880115,0.000119250384,0.000035808775],"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":[0.00004300751,0.00014543568,0.9830269,0.000004105971,0.000008833144,0.000017698077,0.000025574234,0.000058676484,0.000026824804,0.0050214087,0.01114143,0.00048005735],"study_design_scores_gemma":[0.0004464122,0.00016054371,0.93023366,0.0000015744586,0.000012819412,0.000028532651,0.0019691668,0.00014610216,0.000009692926,0.0028341268,0.0640164,0.00014097962],"about_ca_topic_score_codex":0.00015365166,"about_ca_topic_score_gemma":0.0011101275,"teacher_disagreement_score":0.05287497,"about_ca_system_score_codex":0.00025608024,"about_ca_system_score_gemma":0.000006089944,"threshold_uncertainty_score":0.9900335},"labels":[],"label_agreement":null},{"id":"W4223644750","doi":"10.1111/geb.13507","title":"Climatic and biogeographical drivers of functional diversity in the flora of the Canary Islands","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ecology; Endemism; Biology; Species richness; Archipelago; Insular biogeography; Taxon; Biological dispersal; Biogeography; Ecosystem; Geography; Population","score_opus":0.006446555311664432,"score_gpt":0.1865353118702031,"score_spread":0.18008875655853868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223644750","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":[0.99754673,0.00010829619,0.0000021728956,0.0009658109,0.0001119368,0.00011104435,0.00010309646,0.0000024602934,0.0010484502],"genre_scores_gemma":[0.99940014,0.000073046256,0.000019435498,0.00048795404,0.00000204736,0.000008570529,0.000005833016,5.9990646e-7,0.0000023749992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993755,0.00015896451,0.000114386974,0.00012619923,0.00011377968,0.00011112234],"domain_scores_gemma":[0.99973917,0.00009501137,0.00007126927,0.00007378835,0.000006255956,0.0000144967935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002998232,0.000056629327,0.000101311314,0.000042543612,0.00056703656,0.0000014398744,0.00014738667,0.000043276013,0.00012163345],"category_scores_gemma":[0.000013255607,0.00003669703,0.000050813524,0.00066493405,0.001160499,0.000026776392,0.00073603156,0.000100689635,4.0426664e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002734031,0.00007309422,0.9973939,0.0000044496755,0.000030086812,0.0000016910996,0.00033259369,0.00009804549,0.000007949852,0.0017153546,0.00024783865,0.0000676458],"study_design_scores_gemma":[0.00027592268,0.0001318182,0.991406,9.033209e-7,0.0000312595,0.000012398184,0.00117691,0.00013243209,5.355129e-7,0.0067169857,0.00007724726,0.000037572892],"about_ca_topic_score_codex":0.0005534115,"about_ca_topic_score_gemma":0.00800617,"teacher_disagreement_score":0.007452759,"about_ca_system_score_codex":0.000014712797,"about_ca_system_score_gemma":0.000006393447,"threshold_uncertainty_score":0.4467631},"labels":[],"label_agreement":null},{"id":"W4224290633","doi":"10.1111/geb.13497","title":"A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base","year":2022,"lang":"en","type":"review","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":99,"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":"Office of Experimental Program to Stimulate Competitive Research; Division of Emerging Frontiers; Division of Environmental Biology; American Museum of Natural History; Universidad Autónoma de Yucatán; Academy of Natural Sciences of Drexel University; Grantová Agentura České Republiky; Universidade Federal do Maranhão; Universidade Estadual de Santa Cruz; Instituto Serrapilheira; University of Texas at El Paso; Universidade Federal do Rio de Janeiro; Research Institute for Oceanochemistry Foundation; Muséum National d'Histoire Naturelle; Universidad Pública de Navarra; National Research Foundation; Agence Nationale de Sécurité du Médicament et des Produits de Santé; Aarhus Universitets Forskningsfond; European Research Council; Danmarks Frie Forskningsfond; Ministry of Business, Innovation and Employment; Universidad de Extremadura; Fondation pour la Recherche sur la Biodiversite; International Science and Technology Center; Division of Biological Infrastructure; Danmarks Grundforskningsfond; Universidade Federal do Rio Grande do Norte; New Mexico State University; University of Prince Edward Island; Kentucky Science and Technology Corporation; San José State University; Universidad ICESI; Mitsubishi Electric Research Laboratories; Global Environment Facility; Center for Makroøkologi, Evolution og Klima; Instituto Nacional de Pesquisas da Amazônia; King Saud University; Villum Fonden; National Science Foundation; University of Victoria; Centre International de Mathématiques et Informatique de Toulouse; Arctic Research Centre; Universidad Nacional de San Luis; U.S. Department of Agriculture; University of California, Santa Barbara; Maine Agricultural and Forest Experiment Station; Universidad Juárez Autónoma de Tabasco; Carlsbergfondet; Aarhus Universitet; Bhabha Atomic Research Centre","keywords":"Biodiversity; Geography; Knowledge base; Ecology; Environmental resource management; Biology; Computer science; World Wide Web; Environmental science","score_opus":0.13988423070786532,"score_gpt":0.288142784251467,"score_spread":0.14825855354360168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224290633","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007916065,0.97015536,1.1882616e-7,0.00025668426,0.00011433368,0.0006699165,0.027242946,0.000010024045,0.00075899385],"genre_scores_gemma":[0.000043927434,0.9992008,0.000007610881,0.00021969606,0.000003449462,0.00004010326,0.0004803368,0.000001854789,0.0000021937344],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988634,0.00024346942,0.0002627027,0.00033197453,0.0000954914,0.00020299178],"domain_scores_gemma":[0.99912524,0.00018418953,0.0003440719,0.0002514321,0.00001596166,0.00007910848],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039280756,0.00021207664,0.00079782185,0.000048870075,0.00023694285,0.000003945803,0.00029999236,0.00011310355,0.005144262],"category_scores_gemma":[0.000051275376,0.000149501,0.00043038328,0.00028804637,0.000798665,0.00003490614,0.0009119649,0.000068468034,0.000006971638],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015978348,0.0011543594,0.061974008,0.2376273,0.0011945971,0.000024539047,0.00012636004,3.7263824e-8,5.5498026e-7,0.0011424504,0.062486354,0.6341097],"study_design_scores_gemma":[0.00019086721,0.00010754487,0.0023596347,0.0012785904,0.00086286286,0.000034820805,0.00033352367,1.0681611e-7,6.811111e-7,0.0000058899686,0.9946813,0.00014418401],"about_ca_topic_score_codex":0.00008821865,"about_ca_topic_score_gemma":0.00037948583,"teacher_disagreement_score":0.93219495,"about_ca_system_score_codex":0.0000649497,"about_ca_system_score_gemma":0.000031900156,"threshold_uncertainty_score":0.99576515},"labels":[],"label_agreement":null},{"id":"W4224936427","doi":"10.1111/geb.13514","title":"Warmer and drier conditions have increased the potential for large and severe fire seasons across south‐eastern Australia","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Environmental science; Temperate climate; Fire regime; Climate change; Geography; Extreme weather; Climatology; Ecology; Ecosystem; Biology","score_opus":0.005521284226086278,"score_gpt":0.23740895099306844,"score_spread":0.23188766676698216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224936427","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":[0.99279207,0.00012528087,0.000014698146,0.0007614873,0.0002191066,0.0005717865,0.0054146415,0.000023307884,0.00007759294],"genre_scores_gemma":[0.9989624,0.000008004607,0.000036211717,0.0006145222,0.000026434529,0.00016068928,0.00009916948,0.0000055213163,0.00008706476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886376,0.00014859678,0.00011064042,0.0003532083,0.00011200511,0.00041181478],"domain_scores_gemma":[0.99960595,0.00006396724,0.00006782745,0.00013158272,0.0000067874435,0.00012387536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033092522,0.00014579223,0.00015039073,0.0000146848015,0.0012892052,0.000049666294,0.00012476018,0.00009585182,0.0004508439],"category_scores_gemma":[0.000014740174,0.00011581517,0.00007214604,0.00015797988,0.00043738622,0.00008374039,0.00038479295,0.000115774914,0.000013024441],"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":[0.000057174464,0.00005372633,0.99480975,0.000010811443,0.00005982622,0.000010343618,0.0001653887,0.00001114876,0.000044404933,0.00007811193,0.0043192375,0.00038006203],"study_design_scores_gemma":[0.0010078001,0.00022929382,0.9874557,0.0000025280453,0.00007661028,0.00015722217,0.00092922326,0.0015220196,0.0000033021147,0.00040494648,0.008052664,0.00015864318],"about_ca_topic_score_codex":0.00088629016,"about_ca_topic_score_gemma":0.002152892,"teacher_disagreement_score":0.007354017,"about_ca_system_score_codex":0.000027037313,"about_ca_system_score_gemma":0.000005667059,"threshold_uncertainty_score":0.9915654},"labels":[],"label_agreement":null},{"id":"W4229025788","doi":"10.1111/geb.13515","title":"Global estimates of the extent and production of macroalgal forests","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":252,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fundação para a Ciência e a Tecnologia; Natural Environment Research Council; Australian Research Council; Sight Research UK; Netherlands Earth System Science Centre; Fonds Français pour l'Environnement Mondial; Prince Albert II of Monaco Foundation; Agence Nationale de la Recherche","keywords":"Ecology; Production (economics); Geography; Environmental science; Agroforestry; Biology","score_opus":0.004620458620476204,"score_gpt":0.187876731670606,"score_spread":0.18325627305012981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229025788","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":[0.9959666,0.0008119475,0.0000011750226,0.00034588465,0.0003667393,0.000113983515,0.00064249657,0.0000062648455,0.0017448897],"genre_scores_gemma":[0.9996985,0.00007492685,0.00006642822,0.00008367037,0.000011262279,0.0000013943607,0.00005282043,3.0980436e-7,0.000010668166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994678,0.000058430738,0.00012214767,0.00015269355,0.00006858635,0.00013036063],"domain_scores_gemma":[0.9997801,0.000022639988,0.00008133823,0.000072453586,0.000015753303,0.000027710588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244696,0.00006442791,0.000117134,0.000023872131,0.00015321298,0.000003356522,0.00009855568,0.000037219757,0.0001536479],"category_scores_gemma":[0.000015003547,0.00004239733,0.000041726373,0.00028537374,0.00032656515,0.00002476626,0.00009251138,0.000040682735,3.745743e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009305657,0.000020026773,0.96299237,0.000012603919,0.000024487104,0.0000016870505,0.0000057025427,0.00004586771,0.000009319105,0.0005381239,0.00025513122,0.03600164],"study_design_scores_gemma":[0.00011401896,0.00034153843,0.9878428,0.0000016099832,0.000021040816,0.00015439141,0.000058033358,0.00008687901,0.000019094667,0.010241257,0.001074996,0.000044359767],"about_ca_topic_score_codex":0.005131616,"about_ca_topic_score_gemma":0.023550767,"teacher_disagreement_score":0.03595728,"about_ca_system_score_codex":0.0000013302844,"about_ca_system_score_gemma":0.000017700855,"threshold_uncertainty_score":0.99426687},"labels":[],"label_agreement":null},{"id":"W4229375533","doi":"10.1111/geb.13523","title":"Evaluating expert‐based habitat suitability information of terrestrial mammals with <scp>GPS‐</scp>tracking data","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","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":false,"ca_institutions":"Wilfrid Laurier University; Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of Guelph; University of British Columbia; University of Victoria; University of Alberta","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; National Science Foundation of Sri Lanka; Innotech Alberta; Provincia Autonoma di Trento; 15. Juni Fonden; Narodowe Centrum Nauki; Bundesministerium für Bildung und Forschung; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Royal Canadian Geographical Society; Radboud Universiteit; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Javna Agencija za Raziskovalno Dejavnost RS; Alberta Parks; Alberta Conservation Association; National Science Foundation; TD Friends of the Environment Foundation; University of California, Davis; Natural Sciences and Engineering Research Council of Canada; Safari Club International Foundation; European Commission; Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; Narodowe Centrum Badań i Rozwoju; Leakey Foundation; University of Victoria; Deutsche Forschungsgemeinschaft","keywords":"Global Positioning System; Habitat; Ecology; Tracking (education); Geography; Biology; Computer science; Telecommunications","score_opus":0.047068650249229835,"score_gpt":0.29875280452616176,"score_spread":0.2516841542769319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229375533","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":[0.99461985,0.00006533013,0.000028523786,0.00020594805,0.00016706037,0.0002637493,0.001570749,0.000030003139,0.0030488197],"genre_scores_gemma":[0.9982465,0.000011931624,0.00028028752,0.000472688,0.000010374213,0.000035668407,0.0009394324,0.0000020584716,0.0000010914243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880326,0.00014271463,0.00024703884,0.00025370074,0.00029579803,0.00025750173],"domain_scores_gemma":[0.9993391,0.00011345173,0.00017640156,0.00029157198,0.000013852985,0.000065645756],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006774159,0.0001103759,0.00014906358,0.000039020375,0.0003315061,0.000026957243,0.00030881705,0.000058065172,0.0027104022],"category_scores_gemma":[0.00015493401,0.00009591576,0.00004473671,0.0004906314,0.0003954571,0.00033769393,0.00051513134,0.000086345026,0.000014882834],"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":[0.000072474795,0.00010944097,0.99440897,0.0000067340325,0.000016076581,0.000001433453,0.0000813159,0.000069175585,0.00019079786,0.00011558845,0.0022514975,0.002676526],"study_design_scores_gemma":[0.001008594,0.00051498576,0.98439115,0.0000025119805,0.00002425494,0.00001030672,0.0024750426,0.00045646846,0.00010346418,0.00015428681,0.010795919,0.00006299098],"about_ca_topic_score_codex":0.00054684724,"about_ca_topic_score_gemma":0.0013650965,"teacher_disagreement_score":0.010017764,"about_ca_system_score_codex":0.0001254777,"about_ca_system_score_gemma":0.000022660055,"threshold_uncertainty_score":0.99820125},"labels":[],"label_agreement":null},{"id":"W4245589246","doi":"10.1111/geb.12720","title":"Front Cover","year":2018,"lang":"en","type":"paratext","venue":"Global Ecology and Biogeography","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","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":"Front cover; Cover (algebra); Host (biology); Ecology; Diversification (marketing strategy); Geography; Biology; Engineering","score_opus":0.008971228982580787,"score_gpt":0.21391940211956456,"score_spread":0.20494817313698377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245589246","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":[0.6377157,0.0069000777,3.1676012e-7,0.0011941793,0.003740426,0.00038849126,0.0034936115,0.0000646363,0.34650254],"genre_scores_gemma":[0.7899519,0.021139361,0.000416675,0.014154579,0.012226766,0.00018505675,0.00584831,0.00000782808,0.1560695],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998498,0.000082490784,0.00021926743,0.00058590365,0.00014781454,0.00046652457],"domain_scores_gemma":[0.9994891,0.00008849988,0.00014022701,0.00007271373,0.00008293174,0.00012648958],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011246593,0.00032295988,0.00043690554,0.000022835873,0.00034894334,0.000065065244,0.00034328114,0.000716539,0.037776794],"category_scores_gemma":[0.000013588142,0.000120206874,0.00022957422,0.00029807768,0.00064566126,0.000042500695,0.00024986573,0.00016434131,0.017802391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038182137,0.00006403703,0.079723224,0.000006759053,0.00011311611,0.000003696789,0.000006466511,3.3330416e-8,0.000089728615,0.000035845576,0.91515917,0.0047597694],"study_design_scores_gemma":[0.000084460225,0.00042588188,0.382753,0.00000890775,0.00003065366,0.000009914852,0.000037690766,2.4452225e-7,0.0000092821265,0.00020683446,0.61623,0.00020309185],"about_ca_topic_score_codex":0.0005837276,"about_ca_topic_score_gemma":0.0022616682,"teacher_disagreement_score":0.3030298,"about_ca_system_score_codex":0.000023729624,"about_ca_system_score_gemma":0.00001075524,"threshold_uncertainty_score":0.98296237},"labels":[],"label_agreement":null},{"id":"W4247389771","doi":"10.1111/j.1466-822x.2006.00220.x","title":"A wealth of information on seagrass","year":2006,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","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":"Seagrass; Geography; Ecology; Index (typography); Environmental resource management; World Wide Web; Ecosystem; Computer science; Environmental science; Biology","score_opus":0.002881662896986756,"score_gpt":0.17271206107785997,"score_spread":0.1698303981808732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247389771","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":[0.902438,0.00008653905,0.0000075032344,0.00020717531,0.00012311291,0.000065713044,0.00047480594,0.000014912707,0.09658224],"genre_scores_gemma":[0.9988819,0.000044620578,0.0000807179,0.0005403227,0.000021426793,3.6105618e-7,0.00041254246,1.8907096e-7,0.00001794322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956244,0.00002901556,0.0001356258,0.000078620375,0.000046399877,0.00014790751],"domain_scores_gemma":[0.9998051,0.00003472637,0.00006341761,0.000047133948,0.000016573833,0.00003308472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008752766,0.0000614746,0.00009998893,0.00007196875,0.00005500988,0.0000071916265,0.000054761324,0.00008379542,0.00016737598],"category_scores_gemma":[0.000004824623,0.000045296354,0.000033806187,0.00019731456,0.00010562793,0.00007134541,0.000008075627,0.00003828696,0.000035815723],"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":[0.00006581669,0.000011382085,0.9501638,0.0000072503885,0.000007424945,0.0000013772719,0.0000015965129,0.000014332103,0.0000011020038,0.0027831863,0.0012859001,0.04565683],"study_design_scores_gemma":[0.00016275373,0.00040600612,0.9732394,0.0000016564608,0.000005270925,0.000013422673,0.00001470279,0.000051838062,0.000008235993,0.0049889097,0.021058228,0.000049541173],"about_ca_topic_score_codex":0.015544861,"about_ca_topic_score_gemma":0.020589476,"teacher_disagreement_score":0.09656429,"about_ca_system_score_codex":6.794158e-7,"about_ca_system_score_gemma":0.000012791212,"threshold_uncertainty_score":0.9972822},"labels":[],"label_agreement":null},{"id":"W4280556553","doi":"10.1111/geb.13513","title":"Distance decay 2.0 – A global synthesis of taxonomic and functional turnover in ecological communities","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":129,"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 New Brunswick","funders":"H2020 European Research Council; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Jane ja Aatos Erkon Säätiö; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Grantová Agentura České Republiky; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Horizon 2020 Framework Programme; Norges Forskningsråd; Academy of Finland; National Natural Science Foundation of China; Akademie Věd České Republiky; Ella ja Georg Ehrnroothin Säätiö; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Ecology; Distance decay; Beta diversity; Macroecology; Geography; Biology; Biogeography; Biodiversity","score_opus":0.00722342093500165,"score_gpt":0.1976967437760926,"score_spread":0.19047332284109095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280556553","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":[0.99422795,0.00027480308,0.000021324022,0.00027283156,0.00011933617,0.00011176785,0.00021016014,0.000010602229,0.00475125],"genre_scores_gemma":[0.99931574,0.00013359907,0.0001473835,0.00029560682,0.000003262331,0.00008706758,0.000009954483,0.0000012437231,0.0000061184687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992337,0.00016532796,0.00017447238,0.000175255,0.000066070854,0.00018513424],"domain_scores_gemma":[0.9996202,0.00019007138,0.00007874802,0.000072673654,0.00000501983,0.000033300097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023301799,0.000096967575,0.0001852379,0.00003264825,0.0003440255,0.0000046349455,0.00009441426,0.00007250313,0.0005442038],"category_scores_gemma":[0.000012625629,0.000091611255,0.00004318158,0.0002847775,0.0010301332,0.000053516196,0.00034447943,0.000101441095,0.0000037297543],"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":[0.000091459595,0.00020463885,0.9892244,0.000004354752,0.000032638873,0.0000044239823,0.000045131746,0.00028828077,0.0000034625239,0.009633454,0.00020125757,0.00026653157],"study_design_scores_gemma":[0.0002940006,0.0001847703,0.99167216,0.0000014250207,0.000017585184,0.000026848365,0.0006402567,0.00021233637,0.000001373551,0.0060922597,0.0007668901,0.00009011128],"about_ca_topic_score_codex":0.00037595935,"about_ca_topic_score_gemma":0.0271337,"teacher_disagreement_score":0.026757741,"about_ca_system_score_codex":0.00009906582,"about_ca_system_score_gemma":0.000007962196,"threshold_uncertainty_score":0.9906186},"labels":[],"label_agreement":null},{"id":"W4281255639","doi":"10.1111/geb.13531","title":"Water table depth modulates productivity and biomass across Amazonian forests","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Environment Research Council; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Instituto Nacional de Pesquisas da Amazônia; Newton Fund; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Sight Research UK; ASCRS Research Foundation","keywords":"Edaphic; Water table; Environmental science; Biomass (ecology); Amazonian; Productivity; Hydrology (agriculture); Ecology; Water use; Groundwater; Amazon rainforest; Soil water; Agroforestry; Soil science; Geology; Biology","score_opus":0.003932740766690052,"score_gpt":0.19749602491073076,"score_spread":0.1935632841440407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281255639","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":[0.9981907,0.00008789421,0.0000084762005,0.00042507323,0.00012877178,0.00014803575,0.00028466276,0.000030984138,0.0006954169],"genre_scores_gemma":[0.9996518,0.000014189386,0.00008008622,0.00010151918,0.0000079078245,0.000028289083,0.00006697416,0.0000032078278,0.000046019475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990946,0.000050495182,0.00009454756,0.00032843492,0.000089330584,0.00034258945],"domain_scores_gemma":[0.99976933,0.000007186372,0.000027107442,0.00010958422,0.0000031762038,0.00008363746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020046196,0.000104954626,0.00010595991,0.000024589755,0.00057355815,0.000028710496,0.00009477797,0.000059653335,0.00016879852],"category_scores_gemma":[0.0000030332146,0.00008010257,0.00003046424,0.00025368144,0.00032323354,0.00010292097,0.00051039015,0.00008115193,0.000008937866],"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":[0.000019739047,0.000057646124,0.996957,0.0000028488605,0.000019803283,0.00001136398,0.00006708059,0.0003507955,0.0007793971,0.00007552091,0.00008638685,0.0015723989],"study_design_scores_gemma":[0.0002185942,0.00011663659,0.98828274,4.8910437e-7,0.00001263938,0.00011842751,0.000025114436,0.0011763864,0.000167723,0.0037376794,0.00601463,0.00012892704],"about_ca_topic_score_codex":0.00073205953,"about_ca_topic_score_gemma":0.0053003123,"teacher_disagreement_score":0.008674266,"about_ca_system_score_codex":0.00003362568,"about_ca_system_score_gemma":0.0000031522407,"threshold_uncertainty_score":0.44114038},"labels":[],"label_agreement":null},{"id":"W4281737692","doi":"10.1111/geb.13548","title":"The carbon cost of the 2019–20 Australian fires varies with fire severity and forest type","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","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":"Natural Resources Canada; Canadian Forest Service","funders":"Australian Research Council; Hermon Slade Foundation","keywords":"Understory; Canopy; Environmental science; Litter; Coarse woody debris; Ecology; Forestry; Biomass (ecology); Tree canopy; Disturbance (geology); Agroforestry; Geography; Biology; Habitat","score_opus":0.003158475201510531,"score_gpt":0.1830928209935574,"score_spread":0.17993434579204687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281737692","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":[0.997119,0.00023877747,5.876337e-8,0.0011796291,0.00024681265,0.00031626673,0.00014149942,0.000010744008,0.0007472045],"genre_scores_gemma":[0.9997439,0.000038631628,0.0000094444695,0.000115522394,0.000007313243,0.000021130227,0.000005209117,0.000002629111,0.000056268083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992581,0.0001455675,0.000095166775,0.00017792318,0.00012511441,0.00019811606],"domain_scores_gemma":[0.99963456,0.000075086406,0.00007723055,0.00016726543,0.0000056705635,0.000040177023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021662039,0.00009210698,0.00010717796,0.000007937575,0.00063156703,0.000015755086,0.00019417069,0.00004852404,0.00004636974],"category_scores_gemma":[0.000013487889,0.0000509058,0.000028863278,0.0003720543,0.0008792171,0.000032460008,0.00030897124,0.000098357676,0.000001451014],"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":[0.000074403826,0.000024523772,0.99679977,0.0000048479874,0.000028098682,0.0000028515306,0.000032506086,0.000036976307,0.000030542033,0.00009889644,0.0018741592,0.0009924327],"study_design_scores_gemma":[0.00016772868,0.00030541027,0.9799622,0.000002697117,0.000022447171,0.000044092085,0.00007350483,0.00015725438,0.000017283975,0.00032966165,0.018848006,0.00006965888],"about_ca_topic_score_codex":0.005942414,"about_ca_topic_score_gemma":0.030368593,"teacher_disagreement_score":0.024426179,"about_ca_system_score_codex":0.000029037998,"about_ca_system_score_gemma":0.000009507502,"threshold_uncertainty_score":0.98732466},"labels":[],"label_agreement":null},{"id":"W4283796366","doi":"10.1111/geb.13559","title":"Exceptions to the rule: Relative roles of time, diversification rates and regional energy in shaping the inverse latitudinal diversity gradient","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":32,"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":"Ministério da Ciência, Tecnologia, Inovações e Comunicações; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Danmarks Grundforskningsfond; Villum Fonden; National Research Foundation; Fundação de Amparo à Pesquisa do Estado de Goiás; European Commission; Grantová Agentura České Republiky; Univerzita Karlova v Praze","keywords":"Diversification (marketing strategy); Ecology; Diversity (politics); Geography; Bergmann's rule; Macroecology; Biodiversity; Biology; Latitude; Geodesy; Political science","score_opus":0.02242199515283939,"score_gpt":0.21568092108484205,"score_spread":0.19325892593200267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283796366","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":[0.99066937,0.0015373549,0.00000875932,0.00643653,0.00008275493,0.00009025373,0.0002098181,0.000006180083,0.0009589906],"genre_scores_gemma":[0.9986209,0.00039472865,0.00003983701,0.0008821025,0.0000087940025,0.0000033150152,0.000033703902,2.633108e-7,0.000016332222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993916,0.00018531458,0.000088467816,0.00014414308,0.00007416278,0.00011630443],"domain_scores_gemma":[0.99970186,0.00013899211,0.000055195564,0.000053317355,0.000021054157,0.000029572717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022992477,0.000058944945,0.000085611944,0.00007189872,0.0012082481,0.0000046537825,0.000110095374,0.00003023761,0.00012544995],"category_scores_gemma":[0.000013708643,0.000038482765,0.000031638,0.0003928167,0.00046732824,0.000049410337,0.000121971905,0.00007192082,0.0000035275061],"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":[0.000052746236,0.000013275146,0.9949333,0.0000010195141,0.00004108519,0.0000012579278,0.0007862652,0.00021940829,8.6277305e-7,0.0017284811,0.0016156978,0.00060659245],"study_design_scores_gemma":[0.00014760297,0.00010832658,0.99062127,0.000001617865,0.000022716196,0.000008685167,0.001708579,0.00037507157,1.7678407e-7,0.0025275669,0.0044332272,0.00004518681],"about_ca_topic_score_codex":0.0027878159,"about_ca_topic_score_gemma":0.13857819,"teacher_disagreement_score":0.13579038,"about_ca_system_score_codex":0.0000050024173,"about_ca_system_score_gemma":0.0000097753455,"threshold_uncertainty_score":0.92929894},"labels":[],"label_agreement":null},{"id":"W4286670544","doi":"10.1111/geb.13571","title":"Limited spatial rescue potential for coral reefs lost to future climate warming","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Coral and Marine Ecosystems Studies","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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Reef; Resilience of coral reefs; Coral reef; Coral reef protection; Biological dispersal; Environmental issues with coral reefs; Coral; Coral bleaching; Coral reef organizations; Ecology; Aquaculture of coral; Habitat; Population; Environmental science; Oceanography; Fishery; Biology; Geology","score_opus":0.004494073644441316,"score_gpt":0.20377331527320422,"score_spread":0.1992792416287629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286670544","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":[0.9936302,0.000099944424,0.0000887764,0.0025832485,0.0013725694,0.0005037041,0.0006313975,0.00004049081,0.0010497214],"genre_scores_gemma":[0.99807614,0.000044798122,0.00040391088,0.0010805547,0.00017726653,0.000113667644,0.000056636803,0.0000049164564,0.00004212604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885845,0.00005591953,0.00017142508,0.00037525798,0.000119199096,0.00041971836],"domain_scores_gemma":[0.9997124,0.000015910813,0.000049063514,0.00011111766,0.000010657944,0.0001008381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018812346,0.00013989424,0.00018546694,0.00004807628,0.0007963391,0.000019791636,0.00015521304,0.00006006483,0.00042686015],"category_scores_gemma":[0.0000090032945,0.00012616259,0.00011093272,0.00038130497,0.000099978985,0.000058117548,0.0011027314,0.00008459731,0.000042272666],"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":[0.00046220186,0.0001025536,0.9709362,0.000013741,0.000043065855,0.00002373345,0.000058011803,0.00007770103,0.00019525713,0.00044769613,0.013695011,0.0139448615],"study_design_scores_gemma":[0.0005279134,0.0008518348,0.86224246,0.0000017138227,0.000039369836,0.000042621457,0.0004267117,0.00019317021,0.000008043119,0.0006576204,0.13482136,0.00018718174],"about_ca_topic_score_codex":0.0010589595,"about_ca_topic_score_gemma":0.0071684523,"teacher_disagreement_score":0.12112635,"about_ca_system_score_codex":0.000058805374,"about_ca_system_score_gemma":0.0000063440616,"threshold_uncertainty_score":0.61248773},"labels":[],"label_agreement":null},{"id":"W4289766470","doi":"10.1111/geb.13580","title":"Most countries are vulnerable to novel pest invasions and under‐report the diversity of tree pests","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PEST analysis; Biology; Ecology; Agriculture; Agroforestry; Botany","score_opus":0.010070296155271332,"score_gpt":0.20121010303019268,"score_spread":0.19113980687492135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289766470","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":[0.9937747,0.00006613513,0.00002722594,0.0026590335,0.0001902677,0.00024765165,0.00014829241,0.000014796179,0.0028719034],"genre_scores_gemma":[0.99673563,0.000048099802,0.00007888632,0.003007178,0.0000053277504,0.000027877255,0.000011715045,0.0000016946689,0.00008359176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923694,0.000064901404,0.00012091994,0.00024743282,0.00012607718,0.00020375104],"domain_scores_gemma":[0.99962634,0.000067820285,0.0000866767,0.0001453147,0.000009021519,0.000064845364],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00037225726,0.00009105674,0.00012990506,0.000040676867,0.0015949327,0.000008791489,0.0001968404,0.00005015553,0.0006318192],"category_scores_gemma":[0.000025039026,0.00007213045,0.000031580512,0.00047008353,0.0006344914,0.000054414606,0.0018914229,0.00010565656,0.000010487838],"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":[0.000041470048,0.00014074052,0.98847234,0.000003917089,0.000040192976,0.000027402835,0.00008606877,0.00030177934,0.000029993926,0.0032598104,0.007479915,0.00011639044],"study_design_scores_gemma":[0.00029774307,0.00023108303,0.9829489,0.0000011148478,0.000041682288,0.00010028405,0.00067225186,0.000010726101,0.0000072754165,0.002233189,0.013373227,0.000082552724],"about_ca_topic_score_codex":0.0017589547,"about_ca_topic_score_gemma":0.023245398,"teacher_disagreement_score":0.021486444,"about_ca_system_score_codex":0.00004256082,"about_ca_system_score_gemma":0.000010568607,"threshold_uncertainty_score":0.99970484},"labels":[],"label_agreement":null},{"id":"W4290786622","doi":"10.1111/geb.13575","title":"Zooplankton assemblage structure and diversity since pre‐industrial times in relation to land use","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Bureau de Coopération Interuniversitaire; Université du Québec à Montréal","funders":"Groupe de recherche interuniversitaire en limnologie; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ecology; Geography; Subfossil; Land use; Zooplankton; Biodiversity; Ecosystem; Holocene; Biology","score_opus":0.007828297012079564,"score_gpt":0.19741735660241225,"score_spread":0.18958905959033268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290786622","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":[0.99851996,0.000028671186,0.000012088166,0.00018496247,0.00017344866,0.00025673653,0.0004770324,0.000012786206,0.00033431608],"genre_scores_gemma":[0.99958074,0.000008970356,0.00010823017,0.0002107638,0.000012948996,0.000005251477,0.000046942227,0.0000019674044,0.000024156572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921614,0.00011263805,0.0001191074,0.00026306766,0.00011391341,0.00017514646],"domain_scores_gemma":[0.9997267,0.00005562661,0.000054384738,0.00008556131,0.0000024708424,0.00007522569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018097277,0.00009403041,0.00012877592,0.00004677225,0.0003715605,0.000020026071,0.00009043137,0.000115432325,0.00024459418],"category_scores_gemma":[0.000017670365,0.00009037657,0.000021105083,0.00034021205,0.00007367669,0.00011036395,0.00062812725,0.00014219682,0.0000039127367],"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":[0.00008038871,0.000023626353,0.99774665,0.0000022576826,0.00000898566,0.000011615244,0.000104605155,0.0005516985,0.0000208913,0.0005054269,0.00050383236,0.00044000198],"study_design_scores_gemma":[0.00040446574,0.00019610832,0.9947153,0.0000025778495,0.000012270923,0.000022396105,0.00004033455,0.0006824665,0.0000017348727,0.0010169619,0.0027977522,0.00010767455],"about_ca_topic_score_codex":0.0022209734,"about_ca_topic_score_gemma":0.007889803,"teacher_disagreement_score":0.005668829,"about_ca_system_score_codex":0.00006952277,"about_ca_system_score_gemma":0.000005861996,"threshold_uncertainty_score":0.4402695},"labels":[],"label_agreement":null},{"id":"W4292457519","doi":"10.1111/geb.13583","title":"Divergent responses of autumn vegetation phenology to climate extremes over northern middle and high latitudes","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Biome; Phenology; Temperate climate; Taiga; Boreal; Latitude; Environmental science; Climate change; Climatology; Vegetation (pathology); Evergreen; Atmospheric sciences; Ecology; Physical geography; Ecosystem; Geography; Biology; Geology","score_opus":0.007061280349676705,"score_gpt":0.20285213848029085,"score_spread":0.19579085813061414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292457519","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":[0.9983031,0.000252685,0.0000041764306,0.00043793206,0.00019202412,0.00015059012,0.000079130354,0.000020391206,0.00055994175],"genre_scores_gemma":[0.9987081,0.000082114064,0.00081083714,0.00035673787,0.000008731243,0.0000036836232,0.0000127301055,0.000002481064,0.000014544134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916047,0.00012300629,0.00013555626,0.000261528,0.00012012622,0.00019934113],"domain_scores_gemma":[0.99973184,0.00003743166,0.000073246956,0.000092005124,0.000008399421,0.00005708899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013421422,0.00009747251,0.0001349166,0.00004416676,0.00024835594,0.000007095275,0.00008819133,0.00006121822,0.00018698984],"category_scores_gemma":[0.000016585858,0.00008001743,0.00003653296,0.00033051378,0.0002586888,0.000039892588,0.00039706915,0.000058772526,0.000009681122],"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":[0.00010589453,0.00006054565,0.9944797,0.0000064311876,0.000027319442,0.000007482884,0.00017278039,0.0003584266,0.0017610481,0.00032303075,0.00022974783,0.0024675746],"study_design_scores_gemma":[0.00021003833,0.00031179385,0.9957776,0.000002810723,0.000023785395,0.00002076017,0.000114828625,0.0000343463,0.00006636285,0.0011341694,0.0022092545,0.00009423742],"about_ca_topic_score_codex":0.00060573325,"about_ca_topic_score_gemma":0.0045143575,"teacher_disagreement_score":0.0039086244,"about_ca_system_score_codex":0.000041065417,"about_ca_system_score_gemma":0.0000040804794,"threshold_uncertainty_score":0.3263016},"labels":[],"label_agreement":null},{"id":"W4293153688","doi":"10.1111/geb.13572","title":"Global beta diversity patterns of microbial communities in the surface and deep ocean","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":34,"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; Fisheries and Oceans Canada","funders":"","keywords":"Biological dispersal; Beta diversity; Ecology; Subtropics; Deep sea; Biology; Microbial population biology; Taxon; Environmental science; Oceanography; Biodiversity; Population; Geology; Paleontology","score_opus":0.007832649523537013,"score_gpt":0.20001564460814855,"score_spread":0.19218299508461154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293153688","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":[0.9979867,0.00016003681,0.0000017069794,0.00040173205,0.00009743497,0.00014679553,0.0005277026,0.000007739389,0.0006701722],"genre_scores_gemma":[0.9983909,0.00012679874,0.00003321638,0.0013608744,0.0000035352862,0.0000016191773,0.00007997831,0.0000012358819,0.000001819159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855644,0.00087301194,0.00013724157,0.00014004202,0.00005960885,0.00023363829],"domain_scores_gemma":[0.9995871,0.000119544595,0.0000698395,0.00018909242,0.000004429373,0.000029982675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004543454,0.00010581188,0.00017620127,0.000021171201,0.00094535114,0.000005876928,0.0004900436,0.00008798484,0.00087704905],"category_scores_gemma":[0.0000033047017,0.000091987735,0.00005124101,0.00030042036,0.00084661815,0.000046661953,0.0025365825,0.00020690859,0.0000021587853],"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":[0.0000825188,0.0001614708,0.9970532,0.0000055347004,0.000023532979,0.0000054089824,0.00096077216,0.00010187279,0.000035993344,0.0005400039,0.0008353281,0.00019437498],"study_design_scores_gemma":[0.00039480926,0.000297338,0.99118304,0.0000010737688,0.000021741125,0.000052942964,0.0031357873,0.00000877069,0.0000026962127,0.0029143372,0.001896639,0.0000908337],"about_ca_topic_score_codex":0.012032243,"about_ca_topic_score_gemma":0.09458408,"teacher_disagreement_score":0.08255184,"about_ca_system_score_codex":0.00003822224,"about_ca_system_score_gemma":0.0000055691753,"threshold_uncertainty_score":0.9945467},"labels":[],"label_agreement":null},{"id":"W4296662678","doi":"10.1111/geb.13593","title":"No strong evidence that modularity, specialization or nestedness are linked to seasonal climatic variability in bipartite networks","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; St. Michael's Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nestedness; Seasonality; Modularity (biology); Ecology; Ecological network; Community structure; Sampling (signal processing); Variation (astronomy); Bipartite graph; Biological dispersal; Biology; Computer science; Species richness; Ecosystem; Evolutionary biology; Theoretical computer science; Population","score_opus":0.05192618080231312,"score_gpt":0.24534529459904372,"score_spread":0.1934191137967306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296662678","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":[0.99780977,0.00026130906,0.000011884449,0.0009959523,0.00020964762,0.00028999365,0.00023082094,0.000035268422,0.00015536557],"genre_scores_gemma":[0.99897677,0.00017255332,0.000029481087,0.00058842124,0.00012279156,0.000056068715,0.0000447127,4.0514635e-7,0.000008825944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986857,0.00029755005,0.00017210997,0.00034725963,0.00014046248,0.00035687673],"domain_scores_gemma":[0.99949515,0.0002504241,0.000097518336,0.000026223737,0.000040998366,0.000089672205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006064079,0.00013061354,0.00022529277,0.00001778667,0.00047523333,0.000041994364,0.00018234659,0.00008638323,0.00030734538],"category_scores_gemma":[0.00013120637,0.000059162456,0.00006292918,0.0009436698,0.00009072488,0.00009002366,0.00034971934,0.00011925603,0.000005115303],"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":[0.00024829918,0.00011057263,0.99671024,0.000008039737,0.000013195138,0.000014262723,0.000012128302,0.00005847129,0.00013373297,0.00026646143,0.00023984165,0.0021847608],"study_design_scores_gemma":[0.000103436134,0.00034336856,0.9963033,0.000020806181,0.00001403236,0.0000087550525,0.00016728969,0.0007624991,0.0000012449842,0.00035805046,0.001777321,0.00013990172],"about_ca_topic_score_codex":0.0002669142,"about_ca_topic_score_gemma":0.019738216,"teacher_disagreement_score":0.0194713,"about_ca_system_score_codex":0.00004191675,"about_ca_system_score_gemma":0.000008058065,"threshold_uncertainty_score":0.998149},"labels":[],"label_agreement":null},{"id":"W4307257947","doi":"10.1111/geb.13596","title":"Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundação de Amparo à Pesquisa do Estado do Amazonas; Natural Environment Research Council; Sight Research UK; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Biological dispersal; Seed dispersal; Ecology; Abundance (ecology); Amazon rainforest; Abiotic component; Dominance (genetics); Geography; Biology; Demography; Population","score_opus":0.004077288237249939,"score_gpt":0.19196368280338794,"score_spread":0.187886394566138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307257947","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":[0.9979251,0.00032327822,0.0000109870025,0.00041907924,0.00010055578,0.00014431379,0.000130922,0.000015496253,0.00093027815],"genre_scores_gemma":[0.99919593,0.00040557035,0.000044637105,0.0002804573,0.0000029933183,0.00004700433,0.0000146432185,0.0000022799777,0.0000064520946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909437,0.00013279945,0.00018650445,0.00028817513,0.00005713904,0.00024099964],"domain_scores_gemma":[0.99969614,0.00010758825,0.00007460961,0.000073469,0.000004395145,0.00004381694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022349089,0.00012432979,0.00021366404,0.00008300851,0.00027856053,0.0000045746674,0.00011650423,0.00009813283,0.00025421265],"category_scores_gemma":[0.000013222942,0.00010119533,0.00006138426,0.00032224657,0.00068013533,0.00004928855,0.0004559685,0.00014883092,0.0000020373661],"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":[0.00004217464,0.00020060342,0.9964532,0.0000043824566,0.00003861902,0.000008028377,0.00012984236,0.00019929772,0.000038193295,0.001834887,0.000023966895,0.0010267671],"study_design_scores_gemma":[0.00044421843,0.00041087816,0.9874246,0.0000014595634,0.000014827035,0.00002085796,0.0008051184,0.0015446012,0.0000028240192,0.009159887,0.000064570246,0.000106156585],"about_ca_topic_score_codex":0.0003170692,"about_ca_topic_score_gemma":0.02336411,"teacher_disagreement_score":0.023047041,"about_ca_system_score_codex":0.000025349684,"about_ca_system_score_gemma":0.0000039515126,"threshold_uncertainty_score":0.99445695},"labels":[],"label_agreement":null},{"id":"W4308650458","doi":"10.1111/geb.13611","title":"Examining the diversity, stability and functioning of marine fish communities across a latitudinal gradient","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ecology; Disturbance (geology); Biodiversity; Habitat; Benthic zone; Ecosystem; Biomass (ecology); Ecological stability; Habitat destruction; Geography; Biology; Environmental science","score_opus":0.028597794626937966,"score_gpt":0.23270355570296689,"score_spread":0.20410576107602893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308650458","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":[0.98569024,0.00001048491,0.0000019852514,0.000259818,0.000054475535,0.00009418796,0.00009499659,0.000007864948,0.013785958],"genre_scores_gemma":[0.99966407,0.000056438737,0.000029409046,0.00020382136,0.000004107035,0.000012163992,0.000013788016,0.0000010274285,0.000015183116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933505,0.00014239176,0.000087330285,0.00012083693,0.00013199716,0.00018237527],"domain_scores_gemma":[0.99972343,0.00007769694,0.000038640967,0.00011815908,0.000007024359,0.00003503532],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004756409,0.000056795536,0.00009091554,0.000013582871,0.0015155063,0.000015160699,0.00016052021,0.000024683692,0.0026495052],"category_scores_gemma":[0.000009115143,0.00004656081,0.000026314945,0.00027640365,0.0011186827,0.000056097506,0.0060856845,0.00013745774,4.2265592e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005627419,0.000046461973,0.99190474,0.0000054569887,0.000022756261,0.0000020747837,0.00056494074,0.0000034839104,0.0000030417261,0.000118846765,0.00014359702,0.0071283085],"study_design_scores_gemma":[0.00018898147,0.00032765768,0.989017,3.1045266e-7,0.000008871897,0.000014944269,0.005595439,0.000044480177,0.0000015927242,0.00063536875,0.0041181105,0.000047232767],"about_ca_topic_score_codex":0.0073197186,"about_ca_topic_score_gemma":0.012641288,"teacher_disagreement_score":0.013973832,"about_ca_system_score_codex":0.000028054594,"about_ca_system_score_gemma":0.0000031631323,"threshold_uncertainty_score":0.9997844},"labels":[],"label_agreement":null},{"id":"W4319790393","doi":"10.1111/geb.13639","title":"Flexible species distribution modelling methods perform well on spatially separated testing data","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":68,"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":"Random forest; Overfitting; Environmental niche modelling; Species distribution; Statistics; Multivariate statistics; Support vector machine; Multivariate adaptive regression splines; Nonparametric statistics; Generalized linear model; Regression; Generalized linear mixed model; Ecology; Computer science; Mathematics; Artificial intelligence; Nonparametric regression; Ecological niche; Biology; Habitat","score_opus":0.09396183038413604,"score_gpt":0.32570471109074595,"score_spread":0.23174288070660992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319790393","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":[0.95229566,0.000045929235,0.0012504628,0.000516723,0.0003059457,0.00018450724,0.002354441,0.00026336947,0.042782973],"genre_scores_gemma":[0.9928077,0.00033025266,0.0014607569,0.0003870927,0.000049157064,0.000014239787,0.004820341,0.000006816284,0.00012367658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987034,0.000076862285,0.00018662609,0.00047125845,0.00014510144,0.00041673201],"domain_scores_gemma":[0.99940795,0.000098575154,0.00007192283,0.00029829485,0.000017248904,0.00010602281],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00052933017,0.00015867392,0.0001589185,0.00003785657,0.000400123,0.000049320588,0.00028554344,0.00013852889,0.005018693],"category_scores_gemma":[0.00006330481,0.00014096401,0.000045369456,0.0013971757,0.00033038072,0.00014078025,0.0004630844,0.00010200353,0.0010402479],"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":[0.00008437026,0.00013331063,0.95331824,0.000012879963,0.000042765827,0.000014908761,0.000024600226,0.0021091623,0.0005105292,0.0029816157,0.032312065,0.008455569],"study_design_scores_gemma":[0.00030514342,0.00019847152,0.8773262,0.0000063873067,0.000032022177,0.000009969827,0.00021893192,0.037189268,0.00024188301,0.0009425571,0.083304144,0.00022503786],"about_ca_topic_score_codex":0.00033317006,"about_ca_topic_score_gemma":0.0002844469,"teacher_disagreement_score":0.07599204,"about_ca_system_score_codex":0.00012160178,"about_ca_system_score_gemma":0.000008711382,"threshold_uncertainty_score":0.99973756},"labels":[],"label_agreement":null},{"id":"W4319834864","doi":"10.1111/geb.13633","title":"Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Species richness; Biodiversity; Ecology; Biology; Species diversity; Macroecology; Alpha diversity; Geography","score_opus":0.019480266560784908,"score_gpt":0.2065047898678295,"score_spread":0.18702452330704458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319834864","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":[0.9970289,0.00020948538,0.0000033445237,0.00016852176,0.00030872683,0.000058685404,0.0008477663,0.000014959488,0.0013596306],"genre_scores_gemma":[0.9992343,0.00056071964,0.000013843979,0.00006479565,0.0000119281,5.452568e-7,0.00009890542,3.2619045e-7,0.000014614222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993715,0.000054003714,0.00015684147,0.0001474942,0.00009257052,0.00017755393],"domain_scores_gemma":[0.99972403,0.00009401148,0.000067796886,0.000048440852,0.000035281464,0.000030411322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014709987,0.00007470427,0.00018714185,0.00017897911,0.0001516877,0.0000020900368,0.00008004427,0.00007878696,0.00012342971],"category_scores_gemma":[0.000018835039,0.00006459801,0.000057351794,0.0005510243,0.0002959063,0.00005390171,0.00005348548,0.000049059072,0.0000060288526],"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":[0.000051595667,0.000021956408,0.998762,0.00002164075,0.000060516242,0.000007796282,0.000085035244,0.000038427912,9.208908e-7,0.00028024247,0.00037808839,0.00029177236],"study_design_scores_gemma":[0.000315223,0.00010625366,0.9978728,0.0000070396663,0.000016860522,0.000003490891,0.00063062285,0.000029343451,0.000001710184,0.0007951316,0.00016185413,0.00005964531],"about_ca_topic_score_codex":0.0029727262,"about_ca_topic_score_gemma":0.28307894,"teacher_disagreement_score":0.28010622,"about_ca_system_score_codex":0.0000018601644,"about_ca_system_score_gemma":0.00000934354,"threshold_uncertainty_score":0.730003},"labels":[],"label_agreement":null},{"id":"W4323262588","doi":"10.1111/geb.13649","title":"The dynamics of the diversity–energy relationship during the last 21,000 years","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Global Energy and Sustainability Research","field":"Energy","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":"Grantová Agentura České Republiky","keywords":"Ecology; Diversity (politics); Geography; Macroecology; Environmental science; Biodiversity; Biology; Sociology; Anthropology","score_opus":0.006673519257646263,"score_gpt":0.21896103951320572,"score_spread":0.21228752025555947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323262588","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":[0.99124885,0.0001838948,0.0000015944998,0.0030707002,0.0002680543,0.000090277004,0.000070233495,0.000048082802,0.005018312],"genre_scores_gemma":[0.99904484,0.00020730103,0.0000024429155,0.00011543173,0.000026028847,0.000012024389,0.000013060896,0.0000038396847,0.00057500554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987018,0.00031565104,0.00016809555,0.0002004128,0.00020579886,0.000408255],"domain_scores_gemma":[0.99908686,0.00034676795,0.00006294394,0.00036064952,0.000088818895,0.000053940905],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00042978144,0.000105175066,0.00011542729,0.00006353627,0.0017193404,0.000030308427,0.0005442898,0.00017017686,0.000016798105],"category_scores_gemma":[0.00018398548,0.00005722779,0.00016578518,0.001672383,0.0010994019,0.000043974756,0.00097100757,0.00017176979,0.0000075976163],"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":[0.000042236414,0.000014922115,0.6757206,0.000006340408,0.00005740822,0.000004931752,0.000036613354,0.00047237895,0.0000011847327,0.32192716,0.00021955752,0.0014966632],"study_design_scores_gemma":[0.00020168202,0.00003246342,0.9106633,0.0000029516345,0.000018261284,0.0000073525553,0.0007305996,0.00022220916,0.000004507278,0.08069902,0.0073563894,0.00006123589],"about_ca_topic_score_codex":0.0034002017,"about_ca_topic_score_gemma":0.036249276,"teacher_disagreement_score":0.24122815,"about_ca_system_score_codex":0.00006109083,"about_ca_system_score_gemma":0.00003682131,"threshold_uncertainty_score":0.99958026},"labels":[],"label_agreement":null},{"id":"W4323567157","doi":"10.1111/geb.13650","title":"Historical and contemporary processes drive global phylogenetic structure across geographical scales: Insights from bat communities","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Phylogenetic tree; Ecology; Biology; Taxon; Biome; Macroecology; Range (aeronautics); Spatial ecology; Biogeography; Macroevolution; Geography; Ecosystem","score_opus":0.015404064684435066,"score_gpt":0.22235291879336996,"score_spread":0.2069488541089349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323567157","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":[0.98210275,0.012776503,2.684132e-7,0.0021465276,0.0004217656,0.00021934231,0.001965861,0.00018498291,0.00018200971],"genre_scores_gemma":[0.9960845,0.0023451555,0.000024811345,0.00092166953,0.0001400625,0.000033186698,0.00044392174,0.0000010488795,0.0000056373556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983184,0.00022398635,0.00029838007,0.00051604526,0.00010191814,0.0005413244],"domain_scores_gemma":[0.9990802,0.0004503849,0.000112217785,0.00008563093,0.00010206736,0.00016949991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010607041,0.0003204533,0.0005018442,0.00002709507,0.0011837399,0.000046993075,0.00029141406,0.0006933961,0.000028375402],"category_scores_gemma":[0.0000517037,0.00014656823,0.00011017667,0.0011576986,0.0017456117,0.00009207971,0.00047595977,0.00022538594,0.000011766861],"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":[0.00014623068,0.00006822944,0.99429697,0.000014883507,0.00018676843,0.000024335572,0.00011701303,2.5307577e-7,0.00028079122,0.00021069452,0.0015191352,0.0031346888],"study_design_scores_gemma":[0.00034846834,0.0006852365,0.9747402,0.00001082447,0.000035941186,0.00003563864,0.0020720535,0.0000034425345,0.000014391891,0.014306819,0.0074667167,0.00028024524],"about_ca_topic_score_codex":0.0018084759,"about_ca_topic_score_gemma":0.07207184,"teacher_disagreement_score":0.07026336,"about_ca_system_score_codex":0.00003288729,"about_ca_system_score_gemma":0.00001530937,"threshold_uncertainty_score":0.94486046},"labels":[],"label_agreement":null},{"id":"W4323567362","doi":"10.1111/geb.13652","title":"Linking seed size and number to trait syndromes in trees","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sport Centre Pacific; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"National Science Foundation of Sri Lanka; National Institute of Advanced Industrial Science and Technology; Narodowa Agencja Wymiany Akademickiej; Narodowe Centrum Nauki; Sight Research UK; Gordon and Betty Moore Foundation; Natural Environment Research Council; Alabama Space Grant Consortium; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; U.S. Forest Service; U.S. Geological Survey; Agence Nationale de la Recherche; U.S. Department of Agriculture; National Aeronautics and Space Administration; National Science Foundation","keywords":"Biology; Trait; Specific leaf area; Biomass (ecology); Productivity; Ecology; Botany","score_opus":0.006227039375604825,"score_gpt":0.2329874767593463,"score_spread":0.2267604373837415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323567362","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":[0.9940558,0.00003267519,0.0000022046265,0.0013468326,0.000103128696,0.00012245054,0.000025606054,0.00004539506,0.0042659286],"genre_scores_gemma":[0.99864644,0.00014163485,0.00030255786,0.0007951735,0.000006015481,0.000023660403,0.0000055255055,0.0000023476098,0.00007667381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927115,0.000041099796,0.00012103826,0.00025922523,0.000047711354,0.00025979656],"domain_scores_gemma":[0.99973065,0.0001295393,0.000023650176,0.000051923224,0.0000033741394,0.000060895698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018437133,0.000094672396,0.0001445014,0.00004828933,0.00016374578,0.000010224692,0.00006503264,0.00011620214,0.000115722396],"category_scores_gemma":[0.000037081736,0.000086953965,0.000029060124,0.00071767624,0.00029282682,0.00005620452,0.00017771193,0.000061536506,0.00013454225],"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":[0.000012302853,0.000022329,0.9981329,0.0000038122066,0.000018375013,0.000021234986,0.00015100202,0.000041345545,0.000035135603,0.0005811455,0.00013950527,0.00084095687],"study_design_scores_gemma":[0.00026795262,0.00007361494,0.989651,0.0000045207075,0.000009357942,0.000019064028,0.0001463638,0.00007641812,0.0000012732975,0.00914774,0.0005038693,0.00009880932],"about_ca_topic_score_codex":0.00013069288,"about_ca_topic_score_gemma":0.022042366,"teacher_disagreement_score":0.021911671,"about_ca_system_score_codex":0.00001694923,"about_ca_system_score_gemma":0.0000030282786,"threshold_uncertainty_score":0.9958028},"labels":[],"label_agreement":null},{"id":"W4327723542","doi":"10.1111/geb.13666","title":"Disrupted montane forest recovery hinders biodiversity conservation in the tropical Andes","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":22,"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 Victoria","funders":"Rhodes Scholarships","keywords":"Forest restoration; Ecological succession; Biodiversity; Ecology; Forest dynamics; Geography; Ecosystem; Agroforestry; Secondary succession; Restoration ecology; Deforestation (computer science); Clearing; Context (archaeology); Forest ecology; Forestry; Environmental science; Biology","score_opus":0.009468435755665038,"score_gpt":0.19652107587369136,"score_spread":0.18705264011802633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327723542","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":[0.99067533,0.000022179815,0.000008517996,0.0076937717,0.00009808877,0.00020772355,0.00005138319,0.00004009361,0.0012029205],"genre_scores_gemma":[0.9976052,0.00017433707,0.000029078687,0.002101709,0.000007452654,0.000005080798,0.000060385864,7.537419e-7,0.000016000791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924195,0.00008988749,0.00010097352,0.00022669835,0.00012651228,0.0002139904],"domain_scores_gemma":[0.9997556,0.00005882129,0.000038153023,0.00010437024,0.0000052843084,0.000037743564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019067022,0.00008847762,0.000088803354,0.00007354082,0.0003126896,0.000026838676,0.00016798961,0.00009223538,0.00010883699],"category_scores_gemma":[0.000018444001,0.0000652432,0.000057499725,0.00087828,0.00041585634,0.00007929823,0.00019723944,0.000062208346,0.00009837922],"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":[0.000049827497,0.00004784113,0.99158823,0.000003688967,0.000017425165,0.000030410323,0.00010225154,0.000039841354,0.0000032096723,0.00004702099,0.0071176128,0.0009526257],"study_design_scores_gemma":[0.00039178855,0.00009339375,0.9892136,0.0000016679368,0.000022888837,0.0000043197747,0.0011013752,0.00013263701,5.2244144e-7,0.0011692127,0.0077852514,0.00008332678],"about_ca_topic_score_codex":0.0021682237,"about_ca_topic_score_gemma":0.017099125,"teacher_disagreement_score":0.014930902,"about_ca_system_score_codex":0.00004037651,"about_ca_system_score_gemma":0.000003759276,"threshold_uncertainty_score":0.95417136},"labels":[],"label_agreement":null},{"id":"W4353069887","doi":"10.1111/geb.13658","title":"Addressing the problem of scale that emerges with habitat fragmentation","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Fragmentation (computing); Habitat fragmentation; Habitat; Ecology; Habitat destruction; Biodiversity; Landscape connectivity; Geography; Interdependence; Scale (ratio); Spatial ecology; Environmental resource management; Environmental science; Biological dispersal; Biology; Cartography; Population","score_opus":0.018334942642138755,"score_gpt":0.25333955256014185,"score_spread":0.2350046099180031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353069887","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":[0.99465907,0.0000870562,0.000026070955,0.0013529421,0.000050352057,0.00015338676,0.00002017896,0.000029886347,0.0036210427],"genre_scores_gemma":[0.9988164,0.00016846879,0.000706283,0.00023650345,0.0000044130297,0.000029075496,0.0000128533675,0.000001988015,0.00002407219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994593,0.000050313138,0.00009332477,0.00015556948,0.00007773024,0.00016371622],"domain_scores_gemma":[0.9997758,0.00005874153,0.000073717434,0.000061132,0.000008529922,0.000022053742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016929743,0.00007267421,0.00009282921,0.00002984479,0.00031645063,0.00000633727,0.0000761902,0.000058112917,0.000054948945],"category_scores_gemma":[0.0000030345398,0.000044706816,0.00003043947,0.0004882423,0.0008216971,0.00007077366,0.0000938173,0.000045266464,0.000025455216],"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":[0.000019176492,0.000022214494,0.99707943,0.000007370138,0.000038368984,0.0000014131651,0.00014372721,0.0001623967,0.000050126302,0.0003269254,0.00078637846,0.0013624675],"study_design_scores_gemma":[0.00018542881,0.00012301894,0.9938599,0.0000052321366,0.000027493876,0.0000045050897,0.0005435108,0.0001018264,0.00003750743,0.004871067,0.00018422656,0.00005630979],"about_ca_topic_score_codex":0.000068763584,"about_ca_topic_score_gemma":0.0081209475,"teacher_disagreement_score":0.008052184,"about_ca_system_score_codex":0.000009197728,"about_ca_system_score_gemma":0.0000034971426,"threshold_uncertainty_score":0.45316795},"labels":[],"label_agreement":null},{"id":"W4360610999","doi":"10.1111/geb.13670","title":"Habitat–trait interactions that control response to climate change: North American ground beetles (Carabidae)","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Aeronautics and Space Administration; National Institute of Advanced Industrial Science and Technology; National Science Foundation","keywords":"Habitat; Ecology; Climate change; Abundance (ecology); Geography; Ground beetle; Biodiversity; Biology","score_opus":0.018925190743407296,"score_gpt":0.2622778921771319,"score_spread":0.2433527014337246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360610999","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":[0.99014354,0.00002160532,0.000004055425,0.004950081,0.000294262,0.00030111542,0.0023244945,0.00014953013,0.0018113329],"genre_scores_gemma":[0.99613094,0.00019976312,0.000021338223,0.0033416285,0.000028849967,0.00012941516,0.00012599003,0.00000587346,0.000016203263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987114,0.00011708663,0.00014482213,0.00036578358,0.00013617716,0.0005247016],"domain_scores_gemma":[0.99944717,0.00010121213,0.0000704923,0.00015553471,0.000012169307,0.00021341706],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022228717,0.00016133113,0.00019444688,0.000102645776,0.00032316873,0.000045083703,0.00015751492,0.0000512892,0.0018183802],"category_scores_gemma":[0.00003488008,0.00014876452,0.00010632077,0.0014597293,0.00054817705,0.00013011438,0.00019105597,0.00008017636,0.0014203298],"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":[0.00037755613,0.00005847409,0.99047357,0.0000027089288,0.000024709097,0.00001919578,0.0000734517,0.0000017301554,0.00021014635,0.00017837285,0.005217456,0.0033626424],"study_design_scores_gemma":[0.0003536888,0.00028578466,0.96520996,0.0000025624697,0.000024525556,0.000015381724,0.0009762285,0.000008944411,0.0000054634706,0.000059503458,0.03289638,0.00016157779],"about_ca_topic_score_codex":0.000677089,"about_ca_topic_score_gemma":0.03400937,"teacher_disagreement_score":0.033332285,"about_ca_system_score_codex":0.00013089506,"about_ca_system_score_gemma":0.00000351648,"threshold_uncertainty_score":0.99935716},"labels":[],"label_agreement":null},{"id":"W4360871665","doi":"10.1111/geb.13654","title":"Permeability of coastal biogeographic barriers to marine larval dispersal on the east and west coasts of North America","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Manitoba; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Biological dispersal; Biogeography; Habitat; Ecology; Benthic zone; Invertebrate; Plankton; Oceanography; Seasonality; Marine invertebrates; Larva; Biology; Geography; Geology; Population","score_opus":0.006990112171608248,"score_gpt":0.1885390213467928,"score_spread":0.18154890917518454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360871665","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":[0.9928329,0.000030676216,6.8281463e-7,0.0009608858,0.00012761157,0.00019074854,0.003996453,0.00002503948,0.0018349831],"genre_scores_gemma":[0.99870807,0.0002042096,0.00001829391,0.00052419177,0.00001820974,0.000002014794,0.0005149674,0.0000014569893,0.000008570679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892396,0.00011869727,0.0002192349,0.00030537366,0.000116881914,0.0003158711],"domain_scores_gemma":[0.9993298,0.0001716611,0.00008353697,0.00015622361,0.000040018334,0.00021877585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020641595,0.00015596744,0.00027295056,0.0001595564,0.00016980116,0.000010744451,0.00017547583,0.00008367442,0.0004711662],"category_scores_gemma":[0.000082540115,0.00010117544,0.00009241655,0.0010610713,0.0010395008,0.000034996534,0.00014543528,0.00009400378,0.000016274966],"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":[0.00028114492,0.000020878306,0.94916725,0.0000142131175,0.00006028362,0.0000076354245,0.00004429861,0.000013298544,0.0000079609235,0.00015478216,0.00020060007,0.050027654],"study_design_scores_gemma":[0.00017949707,0.0010599925,0.9954423,0.0000041230614,0.00002346567,0.00001466163,0.0003865604,0.00014351154,0.0000041430126,0.0002753981,0.0023583823,0.00010801833],"about_ca_topic_score_codex":0.013669307,"about_ca_topic_score_gemma":0.16306269,"teacher_disagreement_score":0.14939338,"about_ca_system_score_codex":7.3852306e-7,"about_ca_system_score_gemma":0.000028490576,"threshold_uncertainty_score":0.99289876},"labels":[],"label_agreement":null},{"id":"W4362556144","doi":"10.1111/geb.13664","title":"Drivers of the microbial metabolic quotient across global grasslands","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Fundação para a Ciência e a Tecnologia; Swiss Federal Institute for Forest, Snow and Landscape Research; Deutsche Forschungsgemeinschaft","keywords":"Biomass (ecology); Respiratory quotient; Nutrient; Herbivore; Ecology; Incubation; Soil water; Animal science; Biology; Chemistry; Environmental science","score_opus":0.006486536287181009,"score_gpt":0.21558693168289852,"score_spread":0.2091003953957175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362556144","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":[0.9969896,0.00018955667,7.9557964e-8,0.000661108,0.0005328113,0.00012149272,0.001079757,0.00006051221,0.00036508986],"genre_scores_gemma":[0.999343,0.0001822152,0.000008051475,0.00035155567,0.000048153444,0.0000049678715,0.000052226915,3.3360416e-7,0.000009495996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907047,0.00007232378,0.00015720644,0.0002297797,0.000113946226,0.00035626025],"domain_scores_gemma":[0.9997088,0.00003566205,0.00007916536,0.000058588474,0.000045739143,0.000072069415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015613853,0.00012398607,0.00018310794,0.000008193765,0.000244982,0.000018977451,0.00025215594,0.00016379109,0.000020259264],"category_scores_gemma":[0.000017213946,0.00004427001,0.00023709534,0.001538095,0.00039190878,0.000028112625,0.00022062176,0.00006115943,0.00000995188],"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":[0.000024811166,0.00003528448,0.99136513,0.0000021629191,0.00004755083,0.0000023530908,0.000015199581,0.0000015628389,0.0018073258,0.0012138133,0.00048467598,0.005000108],"study_design_scores_gemma":[0.00020436652,0.00010181985,0.99434966,0.0000026822916,0.000028550023,0.00001405016,0.00020831804,0.000028623836,0.00024358233,0.0014599533,0.003263657,0.000094719595],"about_ca_topic_score_codex":0.00066130765,"about_ca_topic_score_gemma":0.007655116,"teacher_disagreement_score":0.006993808,"about_ca_system_score_codex":0.000010591234,"about_ca_system_score_gemma":0.0000070451133,"threshold_uncertainty_score":0.42717344},"labels":[],"label_agreement":null},{"id":"W4365453979","doi":"10.1111/geb.13684","title":"Niche modelling predicts that soil fungi occupy a precarious climate in boreal forests","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","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":"Division of Environmental Biology; National Science Foundation","keywords":"Ecological niche; Ecology; Biome; Niche; Climate change; Climate sensitivity; Taiga; Environmental science; Ecosystem; Geography; Biology; Climate model; Habitat","score_opus":0.014672365059522545,"score_gpt":0.2186231014480398,"score_spread":0.20395073638851727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365453979","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":[0.9922405,0.00079187204,0.0000019068909,0.00044169978,0.00036914498,0.00019939883,0.0031415103,0.00014740504,0.0026666012],"genre_scores_gemma":[0.9926538,0.005365867,0.000021747523,0.0002831355,0.00007741247,0.000030347708,0.0015536809,6.772275e-7,0.000013348925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988132,0.00006865527,0.00017883904,0.0003321871,0.000095413445,0.00051168527],"domain_scores_gemma":[0.9992951,0.00044468592,0.000055791497,0.00004617413,0.000022864953,0.00013537948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020653961,0.00015227783,0.0001856039,0.000052227366,0.0002136092,0.00004308544,0.00014456037,0.00022782185,0.0001686699],"category_scores_gemma":[0.000024380597,0.00006852448,0.000108897584,0.00086624396,0.000028365004,0.00009919819,0.000098456134,0.00013975611,0.00012143315],"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":[0.00010420922,0.000048060876,0.9918326,0.00000734718,0.000020426362,0.000034623044,0.000026609778,0.00017687042,0.00011728622,0.0006387296,0.0027345484,0.0042586545],"study_design_scores_gemma":[0.000100250654,0.00021410016,0.9845801,0.000024875155,0.000018830162,0.000037955993,0.000078462566,0.0040253755,0.00002645215,0.0042554145,0.0064826063,0.00015560637],"about_ca_topic_score_codex":0.0026349444,"about_ca_topic_score_gemma":0.018424815,"teacher_disagreement_score":0.015789872,"about_ca_system_score_codex":0.000011423718,"about_ca_system_score_gemma":0.000008187903,"threshold_uncertainty_score":0.9994864},"labels":[],"label_agreement":null},{"id":"W4367319224","doi":"10.1111/geb.13686","title":"Climate or diet? The importance of biotic interactions in determining species range size","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Commission; Ministerio de Ciencia, Innovación y Universidades","keywords":"Ecology; Range (aeronautics); Ecological niche; Niche; Trophic level; Biology; Macroecology; Extinction (optical mineralogy); Species diversity; Species richness; Species distribution; Herbivore; Interspecific competition; Ecosystem; Habitat","score_opus":0.02460022413573494,"score_gpt":0.27212912304486064,"score_spread":0.24752889890912572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367319224","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":[0.9903607,0.000040325383,2.9501834e-7,0.000999614,0.00018394965,0.00011186412,0.00024369518,0.000027565447,0.008032041],"genre_scores_gemma":[0.9988014,0.00070621155,0.000012534145,0.00039802963,0.000008611066,0.000015494616,0.00001634019,0.0000020172974,0.00003933615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992847,0.000036278045,0.00017607152,0.00016956794,0.000071590446,0.00026181783],"domain_scores_gemma":[0.99963635,0.00014255664,0.00007077886,0.00010983347,0.0000049829523,0.000035513895],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017572891,0.000083060106,0.00012184683,0.000032391345,0.00013007762,0.000012226286,0.00012217215,0.000042892516,0.0077203363],"category_scores_gemma":[0.00006255142,0.000054084816,0.000059125363,0.000970239,0.00047455373,0.00006522822,0.00017903718,0.000058835234,0.00013714119],"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":[0.0000648953,0.0000327871,0.997615,0.0000057709553,0.0000069578678,0.00001356907,0.000055643683,0.0000010821656,0.00013104656,0.00035118434,0.001415303,0.0003067706],"study_design_scores_gemma":[0.00022457769,0.00008488464,0.9931226,0.0000061110113,0.000009792909,0.000010082729,0.0017630772,0.000019500636,0.00002646531,0.00018116433,0.004487472,0.00006429316],"about_ca_topic_score_codex":0.00007736734,"about_ca_topic_score_gemma":0.015163977,"teacher_disagreement_score":0.01508661,"about_ca_system_score_codex":0.000050009345,"about_ca_system_score_gemma":0.00000306545,"threshold_uncertainty_score":0.9931867},"labels":[],"label_agreement":null},{"id":"W4383821142","doi":"10.1111/geb.13728","title":"Disentangling the historical routes to community assembly in the global epicentre of biodiversity","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecology; Allopatric speciation; Character displacement; Biodiversity; Geography; Elevation (ballistics); Sympatry; Range (aeronautics); Biota; Biology; Sympatric speciation","score_opus":0.01174567654650891,"score_gpt":0.23255473222391376,"score_spread":0.22080905567740486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383821142","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":[0.99060774,0.00006940818,0.0000045016504,0.0073252036,0.00016290076,0.0001490389,0.00007258319,0.000017566961,0.0015910659],"genre_scores_gemma":[0.9987256,0.00006825973,0.0000345258,0.0011447459,0.000004942075,0.0000074250665,0.00000905325,5.2828113e-7,0.000004903185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999174,0.0002912735,0.00012312236,0.00012482243,0.000083976345,0.00020283203],"domain_scores_gemma":[0.9995578,0.00022749395,0.00004634815,0.00012893883,0.0000075591643,0.000031873748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000511119,0.00007637645,0.00011641286,0.0000254086,0.0005189136,0.0000065364525,0.00029278224,0.00007235927,0.000015402893],"category_scores_gemma":[0.00006396015,0.000047728678,0.000057181423,0.0010539457,0.00036251024,0.00004467944,0.00035712932,0.00011324839,0.000049471684],"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":[0.000018619514,0.00008194137,0.9955517,0.0000026436708,0.000019055997,0.000005257172,0.00045254224,0.000068524205,0.0000016577844,0.0009127256,0.002604268,0.0002810702],"study_design_scores_gemma":[0.00014293843,0.00008772427,0.992913,0.0000014658333,0.0000200761,0.000003143437,0.0014766675,0.000068526555,7.5341353e-7,0.004346082,0.0008887163,0.000050871702],"about_ca_topic_score_codex":0.0015071944,"about_ca_topic_score_gemma":0.038585123,"teacher_disagreement_score":0.037077926,"about_ca_system_score_codex":0.00012106928,"about_ca_system_score_gemma":0.000004009366,"threshold_uncertainty_score":0.9789582},"labels":[],"label_agreement":null},{"id":"W4384978990","doi":"10.1111/geb.13741","title":"Three major mesoplanktonic communities resolved by in situ imaging in the upper 500 m of the global ocean","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université Laval; Makivik Corporation","funders":"Sorbonne Université; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; Centre National de la Recherche Scientifique; European Commission; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Upwelling; Pelagic zone; Oceanography; Ecology; Mesopelagic zone; Phytoplankton; Plankton; Ordination; Benthic zone; Range (aeronautics); Geography; Biology; Geology; Nutrient","score_opus":0.006328300921539444,"score_gpt":0.1968272422633565,"score_spread":0.19049894134181705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384978990","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":[0.98581254,0.0012149054,5.895082e-7,0.0014392355,0.00021159423,0.0001955628,0.00051999703,0.000018293233,0.010587306],"genre_scores_gemma":[0.9990579,0.00013869775,0.0000054887464,0.00064414716,0.000012341426,0.0000018569725,0.00013389408,9.2141715e-7,0.000004741864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989801,0.00020613462,0.0002225153,0.00014052453,0.0001255338,0.0003252027],"domain_scores_gemma":[0.99956477,0.00012316929,0.00006236452,0.00020531156,0.000013411363,0.000030990806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005292528,0.00011648033,0.00017089133,0.00007301661,0.00015987342,0.00003134544,0.0004374492,0.00007644876,0.00007193383],"category_scores_gemma":[0.000010678991,0.0000682001,0.00007682145,0.0011353997,0.00028821352,0.00006864272,0.000085240106,0.00013159684,0.000011058068],"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":[0.00003154296,0.000017136985,0.99364823,0.000011974974,0.000011894639,0.00000960421,0.00008560357,0.000008966563,9.14593e-7,0.00039763044,0.002619142,0.003157372],"study_design_scores_gemma":[0.00031747544,0.000057712994,0.98794776,0.0000137970965,0.000009698783,0.000023631128,0.0018473775,0.00032537873,0.0000013459056,0.0063877665,0.0029885694,0.00007946375],"about_ca_topic_score_codex":0.036330633,"about_ca_topic_score_gemma":0.568752,"teacher_disagreement_score":0.53242135,"about_ca_system_score_codex":0.000004337847,"about_ca_system_score_gemma":0.00002858047,"threshold_uncertainty_score":0.9700865},"labels":[],"label_agreement":null},{"id":"W4385065624","doi":"10.1111/geb.13736","title":"Biogeographic pattern of living vegetation carbon turnover time in mature forests across continents","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Agence Nationale de la Recherche","keywords":"Abiotic component; Biomass (ecology); Woody plant; Vegetation (pathology); Environmental science; Ecology; Boreal; Coarse woody debris; Temperate climate; Biology","score_opus":0.0030363843545322218,"score_gpt":0.2016144350812878,"score_spread":0.19857805072675558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385065624","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":[0.9988502,0.000070045804,0.0000023572275,0.000079912315,0.00010317556,0.0001272319,0.00013401738,0.00003436112,0.00059867185],"genre_scores_gemma":[0.99978364,0.00006282891,0.000015959833,0.000052993833,0.000005989982,0.000008551294,0.000052117557,0.0000036683027,0.000014275066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991556,0.000043238408,0.00018562275,0.00022568004,0.000106375584,0.0002834862],"domain_scores_gemma":[0.99972725,0.00005026214,0.00007671538,0.00009608567,0.000006209351,0.000043483877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020816426,0.000108197884,0.0001479448,0.000102195125,0.000050697003,0.000011789884,0.00010059061,0.00017583575,0.000026218715],"category_scores_gemma":[0.000014390044,0.00009687222,0.000060771115,0.0010271561,0.00020382117,0.000068487774,0.00014297031,0.0000785318,0.000026111713],"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":[0.000008027014,0.00003597011,0.99823976,0.000008873633,0.000016976797,0.000009531803,0.00009251642,0.00027043116,0.00031949955,0.0000108370905,0.000031435975,0.00095616205],"study_design_scores_gemma":[0.00016621158,0.000048405094,0.9924729,0.000035350495,0.00001073752,0.000008150233,0.0000152321745,0.006536071,0.000009643932,0.0005396941,0.00005776501,0.00009985222],"about_ca_topic_score_codex":0.00097650895,"about_ca_topic_score_gemma":0.011421551,"teacher_disagreement_score":0.0104450425,"about_ca_system_score_codex":0.000015658341,"about_ca_system_score_gemma":0.0000025191725,"threshold_uncertainty_score":0.63734937},"labels":[],"label_agreement":null},{"id":"W4385274648","doi":"10.1111/geb.13735","title":"BioDeepTime: A database of biodiversity time series for modern and fossil assemblages","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Youth Innovation Promotion Association; Natural Environment Research Council; Agentúra na Podporu Výskumu a Vývoja; Chinese Academy of Sciences; Sight Research UK; Deutsche Forschungsgemeinschaft; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; European Commission; Volkswagen Foundation; Smithsonian Institution; European Research Council; Leverhulme Trust; National Science Foundation","keywords":"Quadrat; Assemblage (archaeology); Biodiversity; Taxon; Ecology; Geography; Series (stratigraphy); Sampling (signal processing); Physical geography; Ecosystem; Taxonomic rank; Geology; Biology; Paleontology; Transect","score_opus":0.012866499175423183,"score_gpt":0.23026833483987547,"score_spread":0.2174018356644523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385274648","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":[0.99554044,0.00070505636,0.0000038435,0.00084250415,0.00010250807,0.00020502445,0.0020616574,0.00004542605,0.0004935416],"genre_scores_gemma":[0.9978882,0.0008545257,0.0003014776,0.00012737834,0.000019455429,0.0000038782787,0.0007141727,7.866963e-7,0.00009013987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914056,0.00007148129,0.000119945704,0.0002852223,0.000050154653,0.00033264485],"domain_scores_gemma":[0.9995279,0.0001885217,0.000047235157,0.00009885119,0.00004085185,0.000096645155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040045683,0.00010562725,0.00020431016,0.00013830118,0.00029849468,0.0000124046355,0.00012448692,0.00019355159,0.00027975533],"category_scores_gemma":[0.000056091638,0.00008686222,0.000053712087,0.00035676602,0.0007478914,0.00011689121,0.000081640894,0.000061830135,0.00006812748],"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":[0.0002649303,0.000014746186,0.9911852,0.000039302464,0.00007693336,0.000009144639,0.000016334641,0.000002332364,0.000045863446,0.00007301523,0.003318208,0.0049539804],"study_design_scores_gemma":[0.00037254873,0.00052138086,0.9936375,0.0000024776746,0.000029083274,0.000019803741,0.00004851271,0.0007149438,0.000033929162,0.003405771,0.0011181849,0.000095880656],"about_ca_topic_score_codex":0.00041802463,"about_ca_topic_score_gemma":0.0029028938,"teacher_disagreement_score":0.0048581,"about_ca_system_score_codex":9.881643e-7,"about_ca_system_score_gemma":0.000025221038,"threshold_uncertainty_score":0.35421386},"labels":[],"label_agreement":null},{"id":"W4385501979","doi":"10.1111/geb.13740","title":"Chilling and forcing proceed in parallel to regulate spring leaf unfolding in temperate trees","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","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":"Université du Québec à Chicoutimi","funders":"National Natural Science Foundation of China","keywords":"Forcing (mathematics); Temperate climate; Phenology; Chilling requirement; Temperate deciduous forest; Environmental science; Dormancy; Ecology; Temperate forest; Biology; Temperate rainforest; Atmospheric sciences; Climatology; Deciduous; Botany; Geology; Ecosystem; Germination","score_opus":0.00518006041317383,"score_gpt":0.20148272550434282,"score_spread":0.19630266509116898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385501979","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":[0.9988772,0.000048096666,0.0000074614213,0.00027229325,0.00003623444,0.00015205536,0.000009197194,0.000030915035,0.0005665187],"genre_scores_gemma":[0.99937207,0.00016031244,0.00032002758,0.000109549794,0.0000041976296,0.000013185123,0.0000059337676,0.0000028525412,0.000011856046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926436,0.000018013825,0.00014371218,0.0002503465,0.00004941384,0.00027415797],"domain_scores_gemma":[0.9998577,0.000013590284,0.000022441904,0.000049172697,0.000001691395,0.000055378452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020623466,0.00008952961,0.000117969284,0.00015047046,0.00008599007,0.00002290326,0.000058603793,0.000082457715,0.000006158079],"category_scores_gemma":[0.00000719936,0.000082622166,0.000019125604,0.00086014904,0.00006757238,0.000092062735,0.00012913458,0.000064018655,0.000012534674],"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":[0.000016329685,0.000009053368,0.98586345,0.0000035081287,0.0000043712676,0.000013438521,0.00008534237,0.012058888,0.00059330603,0.00029448365,0.00000411227,0.0010537277],"study_design_scores_gemma":[0.00030117264,0.000032273736,0.983366,0.000019128094,0.0000035870578,0.000008478435,0.000055130666,0.014533684,0.000016813132,0.0014527697,0.00010660837,0.000104341976],"about_ca_topic_score_codex":0.0007683449,"about_ca_topic_score_gemma":0.010788364,"teacher_disagreement_score":0.0100200195,"about_ca_system_score_codex":0.000029561872,"about_ca_system_score_gemma":0.0000024598016,"threshold_uncertainty_score":0.60201603},"labels":[],"label_agreement":null},{"id":"W4387333226","doi":"10.1111/geb.13763","title":"Patterns and repeatability of multi‐ecotype assemblages of sympatric salmonids","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecotype; Sympatric speciation; Biology; Coregonus; Repeatability; Ecology; Ecological niche; Trait; Salvelinus; Trout; Fishery; Habitat; Statistics; Fish <Actinopterygii>","score_opus":0.007767996475052116,"score_gpt":0.22999593383705616,"score_spread":0.22222793736200405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387333226","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":[0.99820024,0.000077627,0.000010128799,0.00027477008,0.00009522743,0.00014817463,0.000068519315,0.000030640032,0.0010946726],"genre_scores_gemma":[0.99878407,0.0009427819,0.00012589183,0.00010488043,0.0000036032902,0.000009526635,0.000009220421,0.0000018647344,0.000018183551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999256,0.000057082394,0.00018032374,0.00025515707,0.000060886963,0.00019055985],"domain_scores_gemma":[0.9996734,0.00007113906,0.00008513108,0.00012657333,0.000008499738,0.000035232715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279589,0.000092443,0.00020445978,0.000065980756,0.00009657478,0.0000023857515,0.00008940885,0.00010070131,0.00009186958],"category_scores_gemma":[0.0000431064,0.000080140075,0.000046451052,0.0005040301,0.0005166798,0.000054826567,0.00040606628,0.00004128874,0.000011917367],"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":[0.000017324493,0.000079320336,0.9975405,0.000043695673,0.000046082037,0.000004294598,0.000033396784,0.000004617287,0.000036938607,0.0001360897,0.00087313476,0.001184625],"study_design_scores_gemma":[0.00026044127,0.00020338279,0.9980562,0.0000032056957,0.00004305015,0.0000019263223,0.00014226955,0.00003711265,0.000051296523,0.00093181484,0.00019845366,0.00007087844],"about_ca_topic_score_codex":0.0003792288,"about_ca_topic_score_gemma":0.0037148104,"teacher_disagreement_score":0.0033355814,"about_ca_system_score_codex":0.0000084673575,"about_ca_system_score_gemma":0.0000021382828,"threshold_uncertainty_score":0.32680172},"labels":[],"label_agreement":null},{"id":"W4387907809","doi":"10.1111/geb.13776","title":"Microbial traits dictate soil necromass accumulation coefficient: A global synthesis","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"Fundamental Research Funds for the Central Universities; Southwest University","keywords":"Edaphic; Soil carbon; Biomass (ecology); Environmental science; Ecosystem; Abundance (ecology); Carbon sequestration; Ecology; Microorganism; Terrestrial ecosystem; Microbial population biology; Soil water; Environmental chemistry; Soil science; Biology; Chemistry; Carbon dioxide; Bacteria","score_opus":0.01354017261367498,"score_gpt":0.23048912099249294,"score_spread":0.21694894837881795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387907809","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":[0.9959115,0.00010896416,0.0000013083616,0.001761133,0.00027849694,0.00016345746,0.0009557495,0.00026429136,0.00055512466],"genre_scores_gemma":[0.99911195,0.000107912936,0.000023889215,0.00046852624,0.000084117586,0.000019378092,0.0001714576,7.6742873e-7,0.000011975517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986925,0.000100139114,0.00020371481,0.00039543633,0.00012868077,0.000479507],"domain_scores_gemma":[0.99955815,0.00013049103,0.000074366224,0.00004220282,0.000050333034,0.00014443534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020089663,0.00018859663,0.00021661016,0.000026946042,0.00031856596,0.00006378517,0.00018316088,0.00025326014,0.00005945364],"category_scores_gemma":[0.000049913975,0.00008992636,0.0001853105,0.0016671898,0.00015192345,0.00006150461,0.00011035777,0.00006589526,0.00006681115],"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":[0.000113993636,0.00010702901,0.95665216,0.000007216455,0.00007456897,0.000027077263,0.000013845983,0.000030547755,0.005103987,0.0007484504,0.001052667,0.036068458],"study_design_scores_gemma":[0.00020875673,0.0001509388,0.99499404,0.0000063016696,0.000044879882,0.000029763325,0.00007573467,0.0013372961,0.000107773754,0.0015426185,0.0013037362,0.0001981366],"about_ca_topic_score_codex":0.00068536197,"about_ca_topic_score_gemma":0.009774908,"teacher_disagreement_score":0.038341906,"about_ca_system_score_codex":0.000047023135,"about_ca_system_score_gemma":0.000010485556,"threshold_uncertainty_score":0.54546285},"labels":[],"label_agreement":null},{"id":"W4388001707","doi":"10.1111/geb.13781","title":"Does non‐native diversity mirror Earth's biodiversity?","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust; Alexander von Humboldt-Stiftung","keywords":"Biodiversity; Ecology; Habitat; Global biodiversity; Taxon; Biology; Biodiversity hotspot; Aquatic biodiversity research; Species richness; Geography; Species diversity; Global change; Taxonomic rank; Climate change","score_opus":0.007097701268746849,"score_gpt":0.223503852423513,"score_spread":0.21640615115476616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388001707","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":[0.99783045,0.000046210014,0.0000033079134,0.00050419965,0.00061588397,0.00015841791,0.00035729876,0.000049513692,0.0004347377],"genre_scores_gemma":[0.99834156,0.0002165574,0.000071976596,0.0007756433,0.000044400622,0.000009672144,0.0002883895,0.0000025861473,0.00024923813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903905,0.000051648592,0.000102796286,0.00038199002,0.00006196066,0.0003625244],"domain_scores_gemma":[0.99965304,0.0000111052705,0.000049677477,0.00013683511,0.000054733126,0.0000946231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014781558,0.00015805589,0.00015347669,0.00009864584,0.00072050915,0.00001247781,0.00016940563,0.0003408624,0.000066407294],"category_scores_gemma":[0.000014260528,0.000113924885,0.00013702386,0.0003474606,0.0004168009,0.000007973724,0.0005874129,0.00008504429,0.00010768308],"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":[0.00011201822,0.00007309589,0.9886079,0.0000069555313,0.00009191988,0.000037119247,0.00003672466,3.1458436e-7,0.007038152,0.00006183128,0.0034672064,0.00046677183],"study_design_scores_gemma":[0.00057458057,0.00039946637,0.9865356,0.0000019197212,0.000056866833,0.0000076261827,0.0001793491,0.000002490759,0.0063367058,0.00032180443,0.005384872,0.00019871666],"about_ca_topic_score_codex":0.00010820968,"about_ca_topic_score_gemma":0.0011596945,"teacher_disagreement_score":0.0020722891,"about_ca_system_score_codex":0.0000046502723,"about_ca_system_score_gemma":0.000020576126,"threshold_uncertainty_score":0.55416465},"labels":[],"label_agreement":null},{"id":"W4388496005","doi":"10.1111/geb.13774","title":"Temporal shifts in the functional composition of Andean forests at different elevations are driven by climate change","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","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":false,"ca_institutions":"Université du Québec à Montréal","funders":"Instituto de Investigación de Recursos Biológicos Alexander von Humboldt; Universidad Nacional de Colombia; Université du Québec à Montréal","keywords":"Ecology; Climate change; Abundance (ecology); Specific leaf area; Biodiversity; Trait; Biology; Gradient analysis; Environmental gradient; Environmental change; Relative species abundance; Plant functional type; Ecosystem; Botany; Photosynthesis; Ecological succession; Habitat","score_opus":0.022375014137314735,"score_gpt":0.23854106228466493,"score_spread":0.2161660481473502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388496005","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":[0.9958645,0.000039994116,0.0000015223821,0.0017730889,0.000086588094,0.00018729741,0.0012952264,0.000022956534,0.0007288344],"genre_scores_gemma":[0.9982085,0.00017969351,0.0000015735388,0.00041748615,0.000009987526,0.000053885404,0.001124782,0.0000016610009,0.0000023803823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993372,0.000052151136,0.00012422237,0.00015857149,0.00012053171,0.00020734742],"domain_scores_gemma":[0.99978626,0.000028494218,0.00006947559,0.00007464722,0.0000056492227,0.00003546614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009177756,0.00008139637,0.00009709602,0.0000379901,0.0001771078,0.00000886758,0.000080846105,0.00007258726,0.0013479884],"category_scores_gemma":[0.0000031849418,0.00005870191,0.000051385985,0.0005069293,0.00024771292,0.00005296696,0.00011579249,0.00004213651,0.00006906661],"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":[0.000028392116,0.000100000536,0.9910551,0.000004972603,0.0000057987404,0.0000023262342,0.000041401272,0.0000011961296,0.00020319666,0.0008785756,0.007577832,0.00010121685],"study_design_scores_gemma":[0.00031888808,0.000073714786,0.9978978,0.000004127259,0.000008970031,0.0000028910117,0.0003580202,0.00003652321,0.00001683227,0.0003783554,0.00084248284,0.00006138304],"about_ca_topic_score_codex":0.00010542909,"about_ca_topic_score_gemma":0.009883089,"teacher_disagreement_score":0.00977766,"about_ca_system_score_codex":0.000072730334,"about_ca_system_score_gemma":7.4533864e-7,"threshold_uncertainty_score":0.9995649},"labels":[],"label_agreement":null},{"id":"W4389203951","doi":"10.1111/geb.13786","title":"Macroecological constraints on species' ‘movement profiles’: Body mass does not explain it all","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","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":"Université de Sherbrooke; Natural Resources Canada; Simon Fraser University; University of British Columbia, Okanagan Campus; Canadian Forest Service; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; University of British Columbia","keywords":"Guild; Trophic level; Biological dispersal; Foraging; Ecology; Biology; Movement (music); Ecosystem; Habitat; Taxon; Population","score_opus":0.0121527263202009,"score_gpt":0.23081396404973376,"score_spread":0.21866123772953286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389203951","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":[0.9696756,0.0000038753674,0.000009206972,0.013214925,0.00053919567,0.0004004591,0.00022054595,0.00012995172,0.015806247],"genre_scores_gemma":[0.9783243,0.00009418822,0.00019659955,0.02075544,0.00004738478,0.00010392953,0.0000909068,0.0000045353654,0.00038269407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834245,0.00013809092,0.0002569773,0.00053592195,0.00017065606,0.00055592536],"domain_scores_gemma":[0.9994493,0.00014732432,0.00009027492,0.00016830815,0.000009250092,0.00013554978],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00043484633,0.0002062216,0.00021089803,0.0000717262,0.00032410436,0.000024238643,0.00020610157,0.00030752516,0.005478041],"category_scores_gemma":[0.000054926193,0.00015307294,0.00009615393,0.00045140716,0.0012296747,0.00008427874,0.00019631941,0.00015713353,0.0013527329],"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":[0.00009732678,0.00011903341,0.96803725,0.000003943886,0.00005480084,0.00008637416,0.000019614537,0.000009764761,0.0007933592,0.0043356903,0.025339853,0.0011030138],"study_design_scores_gemma":[0.00050729857,0.00043231924,0.98014176,0.0000035053943,0.000022190728,0.0000070383344,0.00018388494,0.000050937193,0.000271123,0.006568898,0.011614395,0.00019663922],"about_ca_topic_score_codex":0.000033583554,"about_ca_topic_score_gemma":0.00047404403,"teacher_disagreement_score":0.015423552,"about_ca_system_score_codex":0.000074507545,"about_ca_system_score_gemma":0.0000123708905,"threshold_uncertainty_score":0.9994248},"labels":[],"label_agreement":null},{"id":"W4390232337","doi":"10.1111/geb.13790","title":"Global patterns and environmental drivers of forest functional composition","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Ontario Forest Research Institute; Ministry of Natural Resources and Forestry; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Natural Environment Research Council; Sight Research UK","keywords":"Biome; Ecology; Trait; Temperate rainforest; Temperate forest; Taiga; Temperate climate; Ecosystem; Precipitation; Latitude; Environmental change; Abundance (ecology); Boreal; Environmental science; Biology; Geography; Climate change","score_opus":0.004202180678796126,"score_gpt":0.19178651020285808,"score_spread":0.18758432952406195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390232337","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":[0.9983599,0.00004320162,0.000071894676,0.0002276837,0.00013221017,0.000086833345,0.0003478904,0.000024749,0.0007056115],"genre_scores_gemma":[0.9992907,0.00025393057,0.00007173828,0.0002211522,0.0000070232377,0.0000079633055,0.00013932573,0.0000013293239,0.000006805972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994332,0.000030447098,0.000108958484,0.0001979243,0.000069696005,0.00015976938],"domain_scores_gemma":[0.99982375,0.000030276442,0.000050082737,0.000047561196,0.0000024276521,0.00004591083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007322265,0.000083944185,0.00010372409,0.00002877301,0.00019095038,0.0000039274278,0.00004174356,0.00009200322,0.00012438596],"category_scores_gemma":[0.0000028190818,0.00008026371,0.000039688173,0.00020511395,0.00066928717,0.00006197702,0.0001595952,0.000031533884,0.000031070227],"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":[0.000021919017,0.000042722597,0.9977306,0.0000045986803,0.000044391083,0.000004534365,0.000022335487,0.00021484125,0.000040246716,0.0010312869,0.00039223925,0.00045027572],"study_design_scores_gemma":[0.00033556556,0.000121954574,0.99438787,0.000001802498,0.000026102609,0.00001716683,0.00017658975,0.000441478,0.0000028941704,0.0043219854,0.000093589704,0.00007302897],"about_ca_topic_score_codex":0.00008273237,"about_ca_topic_score_gemma":0.0023133184,"teacher_disagreement_score":0.0033427672,"about_ca_system_score_codex":0.000030462841,"about_ca_system_score_gemma":0.0000020399752,"threshold_uncertainty_score":0.3273059},"labels":[],"label_agreement":null},{"id":"W4391315987","doi":"10.1111/geb.13808","title":"A global analysis of field body temperatures of active squamates in relation to climate and behaviour","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":17,"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":"Azrieli Foundation; Israel Science Foundation","keywords":"Nocturnal; Substrate (aquarium); Air temperature; Ecology; Thermoregulation; Diel vertical migration; Atmospheric sciences; Biology; Environmental science; Geology","score_opus":0.0030230045264082617,"score_gpt":0.2358274662856472,"score_spread":0.23280446175923894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391315987","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":[0.9982539,0.00035643598,0.000003828531,0.00021142678,0.00006344817,0.00009306521,0.00023869105,0.000009100479,0.00077012886],"genre_scores_gemma":[0.9995997,0.00015842258,0.00010183631,0.000113329996,0.000003475536,0.0000039270117,0.000016321987,9.252295e-7,0.000002079266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994091,0.00003992121,0.00015387569,0.00022020414,0.000043803888,0.00013311436],"domain_scores_gemma":[0.9998215,0.00003723743,0.000034586963,0.00006094317,0.0000047212316,0.000041012136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096946904,0.00007235567,0.00018065867,0.00009322208,0.000027042714,0.0000057168563,0.00004757718,0.0001382258,0.00010359918],"category_scores_gemma":[0.000010370537,0.00005644924,0.00006652544,0.0010858711,0.00020523515,0.00004086473,0.00009470981,0.00003801207,0.000002205506],"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":[0.00006163345,0.0000430043,0.99676335,0.000007914629,0.000107776556,0.0000063590664,0.00006077998,0.000018188533,0.0005831967,0.00087866245,0.00008612889,0.0013829791],"study_design_scores_gemma":[0.00008339086,0.00024327113,0.9986651,0.000008163188,0.00017146449,0.000005121617,0.000092986076,0.00008267086,0.00012311712,0.00040837232,0.00006041528,0.00005594686],"about_ca_topic_score_codex":0.00075610285,"about_ca_topic_score_gemma":0.0035921056,"teacher_disagreement_score":0.0028360027,"about_ca_system_score_codex":0.000017500695,"about_ca_system_score_gemma":0.0000044847043,"threshold_uncertainty_score":0.23019333},"labels":[],"label_agreement":null},{"id":"W4391316042","doi":"10.1111/geb.13807","title":"Trait‐matching models predict pairwise interactions across regions, not food web properties","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; McGill University; Montreal Biodome","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise comparison; Trait; Food web; Ecology; Matching (statistics); Geography; Biology; Mathematics; Statistics; Computer science; Ecosystem","score_opus":0.04516106146062223,"score_gpt":0.22799877162053256,"score_spread":0.18283771015991032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391316042","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":[0.9897339,0.0033373479,0.0000022566555,0.0034916056,0.00023247859,0.00013571899,0.0018639646,0.00023017,0.00097259943],"genre_scores_gemma":[0.9983279,0.0010072422,0.000018942677,0.0003832927,0.00016046807,0.000030089195,0.00003276782,6.1521354e-7,0.000038674072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906534,0.000043937776,0.00015744983,0.00031994694,0.0000809799,0.00033234508],"domain_scores_gemma":[0.9997637,0.000090265145,0.000027699965,0.000017898066,0.000026244503,0.00007415782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012280329,0.00014866074,0.00016831137,0.000014558601,0.0005378596,0.000119662174,0.0001203073,0.0001051709,0.000021336793],"category_scores_gemma":[0.000009591175,0.000057500954,0.00014854441,0.00035119124,0.00020683797,0.00020768057,0.0001119219,0.00012746693,0.00001065617],"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":[0.0010931047,0.0010192858,0.5072431,0.00031907638,0.0022390378,0.00023463754,0.0021599801,0.00003869321,0.11208106,0.05980176,0.033821456,0.27994877],"study_design_scores_gemma":[0.0002140692,0.0011250672,0.8933836,0.00015137019,0.00008695188,0.00018964331,0.0017932983,0.0007038113,0.00016323791,0.023018137,0.07871055,0.00046024917],"about_ca_topic_score_codex":0.0001632025,"about_ca_topic_score_gemma":0.018535962,"teacher_disagreement_score":0.3861405,"about_ca_system_score_codex":0.000011468633,"about_ca_system_score_gemma":0.0000067808987,"threshold_uncertainty_score":0.9993732},"labels":[],"label_agreement":null},{"id":"W4392284758","doi":"10.1111/geb.13821","title":"Beyond salinity: Plants show divergent responses to soil ion composition","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","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":"University of Alberta","funders":"Akademie Věd České Republiky","keywords":"Salinity; Soil salinity; Alkalinity; Ecological niche; Habitat; Soil pH; Ecology; Soil water; Ion; Ecosystem; Biology; Chemistry; Botany","score_opus":0.012954996970947728,"score_gpt":0.22692484775199206,"score_spread":0.21396985078104433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392284758","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":[0.98911655,0.00180293,9.192942e-7,0.0051537813,0.00097357295,0.00016357543,0.0016787782,0.00012443378,0.0009854637],"genre_scores_gemma":[0.9970364,0.0007318564,0.00003114573,0.0018254424,0.00016710028,0.000017910768,0.00015130377,4.1882538e-7,0.000038442293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990027,0.000119969955,0.00014819854,0.0003496889,0.00007940909,0.00030006724],"domain_scores_gemma":[0.9995649,0.00024412434,0.000023681294,0.000030364403,0.0000238109,0.0001131258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021610233,0.00014734727,0.00017951668,0.000030565916,0.00042730416,0.000052825777,0.000104408326,0.00019377186,0.00017050812],"category_scores_gemma":[0.000013298559,0.00006315808,0.00008974189,0.00038058546,0.00014760433,0.00006181979,0.00011905222,0.00009383378,0.00009175829],"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":[0.0003731864,0.00009093553,0.96146744,0.000010432326,0.00014979557,0.00009638203,0.00004639921,7.331372e-7,0.007030141,0.0019387575,0.0150924465,0.013703333],"study_design_scores_gemma":[0.000070617236,0.0005436832,0.97155994,0.000016098382,0.00003462921,0.00006524876,0.00011656667,0.000007151941,0.00021595086,0.003139161,0.024075206,0.00015575002],"about_ca_topic_score_codex":0.00015893174,"about_ca_topic_score_gemma":0.004882027,"teacher_disagreement_score":0.013547583,"about_ca_system_score_codex":0.000013704845,"about_ca_system_score_gemma":0.00000571118,"threshold_uncertainty_score":0.32865214},"labels":[],"label_agreement":null},{"id":"W4392293932","doi":"10.1111/geb.13822","title":"Common processes drive metacommunity structure in freshwater fish","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Guelph","funders":"Japan Society for the Promotion of Science; Vetenskapsrådet","keywords":"Metacommunity; Abiotic component; Ecology; Biological dispersal; Temperate climate; Climate change; Environmental change; Biology; Environmental science","score_opus":0.00863063187356804,"score_gpt":0.2365051497863498,"score_spread":0.22787451791278174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392293932","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":[0.9898752,0.00046438928,6.536023e-7,0.0011209232,0.00015308661,0.000093961135,0.0013861136,0.00005103308,0.00685463],"genre_scores_gemma":[0.9985162,0.00029276553,0.00002195488,0.0009517651,0.0000082542765,0.000009042129,0.00018690975,0.0000022580225,0.000010838313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937123,0.0000494048,0.000103761195,0.00019376792,0.00006823152,0.00021362035],"domain_scores_gemma":[0.99980545,0.000027813187,0.000015608288,0.0000931999,0.000005101612,0.000052838153],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007421611,0.00010179215,0.00011424,0.000036338737,0.00010017287,0.000045435394,0.00013090724,0.00011947279,0.014611008],"category_scores_gemma":[0.000009613028,0.00007941136,0.00003748988,0.00065631204,0.00033490796,0.00010662525,0.00016675043,0.00012289548,0.00007783816],"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":[0.000010523871,0.000041849256,0.9889125,0.000024021405,0.000016774185,0.000019346757,0.00007295555,0.0000010597836,0.000094004834,0.000613259,0.009411099,0.0007825841],"study_design_scores_gemma":[0.00012069424,0.000052501255,0.9109713,0.000006291167,0.0000146121,0.000017953469,0.00030780668,0.000010452147,0.00015498813,0.0034560852,0.084789984,0.00009735101],"about_ca_topic_score_codex":0.00069813617,"about_ca_topic_score_gemma":0.1600788,"teacher_disagreement_score":0.15938066,"about_ca_system_score_codex":0.00007569094,"about_ca_system_score_gemma":0.000005319339,"threshold_uncertainty_score":0.9862898},"labels":[],"label_agreement":null},{"id":"W4393115503","doi":"10.1111/geb.13829","title":"Evolutionary history and environmental variability structure contemporary tropical vertebrate communities","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Division of Environmental Biology; Norges Forskningsråd; National Science Foundation","keywords":"Ecology; Vertebrate; Geography; Biology","score_opus":0.009840799574214243,"score_gpt":0.18764215856560457,"score_spread":0.17780135899139032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393115503","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":[0.92953175,0.06251378,0.0000053173094,0.0005087602,0.0007276622,0.000089856396,0.0011958355,0.000060870712,0.0053661666],"genre_scores_gemma":[0.9981122,0.0008915763,0.000101529804,0.0006009637,0.000038116224,0.000001126985,0.00023579299,8.979005e-7,0.000017768247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992189,0.00021422253,0.00012962548,0.00020474155,0.000058746533,0.00017378217],"domain_scores_gemma":[0.9996625,0.00014962227,0.000020453845,0.0000822148,0.0000056468302,0.00007955838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000844994,0.00012578677,0.00015787887,0.000056935554,0.00022886466,0.000013229867,0.000067238114,0.00016052762,0.0008421276],"category_scores_gemma":[0.000006059894,0.00010094195,0.000047221944,0.00007303838,0.0014351335,0.00011165287,0.000026195978,0.00015840592,0.000012326955],"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":[0.000039131042,0.0000113552705,0.9923165,0.00002002098,0.00008608136,0.000016409605,0.00010613852,8.5365883e-7,0.000001294069,0.0013691656,0.0049334667,0.0010995818],"study_design_scores_gemma":[0.00014871283,0.00014290158,0.9623792,0.000004880415,0.000025683157,0.000093820454,0.0003732297,0.000867606,1.4353053e-7,0.0052366164,0.030620066,0.00010712155],"about_ca_topic_score_codex":0.0006968457,"about_ca_topic_score_gemma":0.012885231,"teacher_disagreement_score":0.06858048,"about_ca_system_score_codex":0.0000129085465,"about_ca_system_score_gemma":0.000038081143,"threshold_uncertainty_score":0.9220706},"labels":[],"label_agreement":null},{"id":"W4393980877","doi":"10.1111/geb.13842","title":"Demographic change and loss of big trees in resprouting eucalypt forests exposed to megadisturbance","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest ecology and management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Western Sydney University; Hermon Slade Foundation","keywords":"Ecology; Geography; Agroforestry; Climate change; Forestry; Environmental science; Biology","score_opus":0.011752265426395805,"score_gpt":0.22347599967034276,"score_spread":0.21172373424394697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393980877","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":[0.99587077,0.0013076625,0.000030277353,0.0009723519,0.00024219544,0.00035427176,0.000027522245,0.00003222454,0.0011626967],"genre_scores_gemma":[0.99899167,0.00021630952,0.00018881487,0.000497678,0.000019317446,0.00006483001,0.000003986905,0.000003848029,0.000013517832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989769,0.00005321849,0.00019077896,0.00039275087,0.00007388427,0.00031250878],"domain_scores_gemma":[0.9997163,0.000051130926,0.000033366945,0.0001114759,0.0000037040518,0.00008405277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031312078,0.00012958383,0.00017767133,0.0001840796,0.000078075376,0.0000147175,0.0001193733,0.0001293705,0.000041418665],"category_scores_gemma":[0.000020192198,0.000112548405,0.00005102854,0.001019556,0.0005432976,0.00008777103,0.00024916598,0.00007938994,0.000013307309],"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":[0.000051207102,0.00004946431,0.983701,0.000025822588,0.000028015937,0.00005293311,0.00014275043,0.000007341952,0.000039741593,0.008432251,0.00030010246,0.00716937],"study_design_scores_gemma":[0.00023667935,0.0002802078,0.98474866,0.000028910848,0.000021351174,0.0000101579,0.000047149228,0.00007514934,0.000019102948,0.011857303,0.0025596533,0.00011569678],"about_ca_topic_score_codex":0.00044458092,"about_ca_topic_score_gemma":0.041512415,"teacher_disagreement_score":0.04106783,"about_ca_system_score_codex":0.000023241448,"about_ca_system_score_gemma":0.0000039878705,"threshold_uncertainty_score":0.9759775},"labels":[],"label_agreement":null},{"id":"W4394614104","doi":"10.1111/geb.13834","title":"Microclimate, an important part of ecology and biogeography","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":167,"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; Environment and Climate Change Canada; University of British Columbia","funders":"H2020 European Research Council; College of Natural Resources and Sciences, Humboldt State University; AgroParisTech; Ministerio de Ciencia e Innovación; Danmarks Frie Forskningsfond; Academy of Finland; Institut Polaire Français Paul Emile Victor; Fonds Wetenschappelijk Onderzoek; Svenska Forskningsrådet Formas; Grantová Agentura České Republiky; Sight Research UK; Natural Environment Research Council; Akademie Věd České Republiky; Agence Nationale de la Recherche; Danmarks Grundforskningsfond; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Villum Fonden","keywords":"Microclimate; Biogeography; Ecology; Insular biogeography; Geography; Biology","score_opus":0.005118364483383342,"score_gpt":0.21390028350288826,"score_spread":0.2087819190195049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394614104","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":[0.99549013,0.0016912029,0.0000027100052,0.00025611176,0.00034126098,0.00020207993,0.00035436536,0.00006908004,0.0015930288],"genre_scores_gemma":[0.9979827,0.0011832465,0.00038704276,0.00031498348,0.000028878261,0.000018051687,0.00007003759,0.0000062499844,0.000008840324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987416,0.00006748939,0.0002981249,0.00046881696,0.00008493838,0.00033898288],"domain_scores_gemma":[0.9995944,0.00004529736,0.000062101404,0.00014958976,0.000009272374,0.0001393757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025199883,0.00016937598,0.00021654651,0.0001238707,0.00011903428,0.000028224531,0.00010547562,0.00022065644,0.00036724153],"category_scores_gemma":[0.000007793908,0.00014380978,0.000087940236,0.00060385844,0.0009193073,0.00017487202,0.0001265581,0.000085789485,0.00002545832],"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":[0.000023150717,0.000077327255,0.9926009,0.000025096107,0.00005627037,0.000023267326,0.000046672245,4.8332504e-7,0.0023355868,0.0011354659,0.001850414,0.0018253742],"study_design_scores_gemma":[0.00022539272,0.00052296603,0.9776921,0.0000103203965,0.000074746255,0.00009705071,0.00005682016,0.000042683023,0.00046129368,0.0066581625,0.013994099,0.00016433494],"about_ca_topic_score_codex":0.00036920691,"about_ca_topic_score_gemma":0.0021709367,"teacher_disagreement_score":0.014908761,"about_ca_system_score_codex":0.000017989296,"about_ca_system_score_gemma":0.000011913349,"threshold_uncertainty_score":0.58643925},"labels":[],"label_agreement":null},{"id":"W4399444355","doi":"10.1111/geb.13877","title":"Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Biodiversity; Phylogenetic tree; Ecology; Geography; Biodiversity hotspot; Tree (set theory); Biology","score_opus":0.006006481659699601,"score_gpt":0.19653932441881047,"score_spread":0.19053284275911087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399444355","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":[0.9972945,0.00094784965,0.00004855906,0.0006488284,0.00019748975,0.000098222416,0.00019156796,0.000029115055,0.00054388837],"genre_scores_gemma":[0.99844337,0.0010806762,0.00015337157,0.0002688294,0.0000067661213,0.0000065392733,0.00002182683,0.0000013874818,0.000017244507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993245,0.000054282067,0.000120115525,0.00027765098,0.000059579565,0.00016387845],"domain_scores_gemma":[0.99976283,0.00007149924,0.000032167165,0.00006638403,0.000009726727,0.000057367397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012300047,0.000102745944,0.00012814393,0.00008075364,0.00021292358,0.00000755618,0.00005089673,0.00012558077,0.00013312229],"category_scores_gemma":[0.000007264234,0.00008077337,0.000063951215,0.00031249056,0.0008378259,0.00005016152,0.00018320329,0.00007691887,0.000020465477],"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":[0.000014166738,0.000039953382,0.9969395,0.000016972032,0.000092794304,0.000009468673,0.000028726246,0.00000939132,0.00014539665,0.0008687852,0.0007222579,0.0011126215],"study_design_scores_gemma":[0.00015673143,0.00016199873,0.9932923,0.000006251612,0.000071182265,0.000024794517,0.000045875244,0.00007258976,0.000013971881,0.005675788,0.00039035114,0.00008816985],"about_ca_topic_score_codex":0.00020567926,"about_ca_topic_score_gemma":0.0032856364,"teacher_disagreement_score":0.004807003,"about_ca_system_score_codex":0.000012113768,"about_ca_system_score_gemma":0.000005807301,"threshold_uncertainty_score":0.32938424},"labels":[],"label_agreement":null},{"id":"W4399460224","doi":"10.1111/geb.13856","title":"Tropical forest succession increases tree taxonomic and functional richness but decreases evenness","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Wageningen University and Research; Smithsonian Tropical Research Institute; Inter-American Institute for Global Change Research; Alberta Innovates; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Eidgenössische Technische Hochschule Zürich; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutscher Akademischer Austauschdienst; European Research Council; University of Connecticut; National Science Foundation; HSBC Bank USA; Andrew W. Mellon Foundation; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Consejo Nacional de Ciencia y Tecnología; Agence Nationale de la Recherche; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Aeronautics and Space Administration; Natural Sciences and Engineering Research Council of Canada; Smithsonian Institution; Yale-NUS College; Yale University","keywords":"Species richness; Species evenness; Ecology; Ecological succession; Biology; Biodiversity","score_opus":0.005700098640118735,"score_gpt":0.20827129739379144,"score_spread":0.20257119875367272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399460224","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":[0.9959865,0.001437688,0.0002309706,0.0005743362,0.00028923375,0.000120886216,0.00006298553,0.000064326734,0.0012330258],"genre_scores_gemma":[0.99896246,0.00043787426,0.00019379176,0.00025460022,0.000040122355,0.000044898246,0.000030125342,0.0000034877987,0.00003261856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991389,0.000062793406,0.00014563306,0.00036674977,0.00006356338,0.0002223616],"domain_scores_gemma":[0.9996179,0.00017811982,0.000031595282,0.000065284905,0.000007403508,0.00009973153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008602533,0.0001418295,0.00015442263,0.000060399947,0.0003131131,0.00003158314,0.000060892216,0.00014925453,0.00023076485],"category_scores_gemma":[0.00003300237,0.00011319169,0.000059544032,0.0002488457,0.00080293574,0.00015347046,0.00018599624,0.000084367755,0.000047219863],"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":[0.000060539925,0.00007741472,0.99176055,0.00001449457,0.00005725534,0.00002111499,0.000007831277,0.000014847091,0.000022265007,0.005411026,0.0007643857,0.0017882797],"study_design_scores_gemma":[0.00027169348,0.00012571318,0.9864156,0.000009510208,0.00006147628,0.00008730551,0.000069980735,0.0008150338,0.0000039963734,0.011093712,0.00091489335,0.00013107328],"about_ca_topic_score_codex":0.00030374902,"about_ca_topic_score_gemma":0.009396766,"teacher_disagreement_score":0.009093017,"about_ca_system_score_codex":0.00003488965,"about_ca_system_score_gemma":0.000012873974,"threshold_uncertainty_score":0.5243616},"labels":[],"label_agreement":null},{"id":"W4399708511","doi":"10.1111/geb.13878","title":"Wind dispersed tree species have greater maximum height","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Leverhulme Trust; U.S. Fish and Wildlife Service; Arcus Foundation","keywords":"Ecology; Tree (set theory); Geography; Environmental science; Biology; Mathematics","score_opus":0.006248853455410185,"score_gpt":0.20762175314798226,"score_spread":0.20137289969257208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399708511","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":[0.91816914,0.00057563995,0.000033968587,0.0021004074,0.0005184121,0.00012734356,0.000075854456,0.00007647215,0.07832273],"genre_scores_gemma":[0.9981276,0.0002238825,0.00016552159,0.00062616606,0.00003576638,0.000009694166,0.000014379233,0.0000040322084,0.0007929787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990939,0.00004108391,0.00013497358,0.0003652803,0.00007228894,0.00029245368],"domain_scores_gemma":[0.9997673,0.00004311801,0.000022409014,0.00009610436,0.000005365461,0.00006567107],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010655162,0.00015006746,0.00014942267,0.000054075834,0.000251572,0.000034384437,0.000098638746,0.00015133062,0.0014797347],"category_scores_gemma":[0.000007635668,0.00011599608,0.00009682279,0.00026477876,0.00091617455,0.00010927742,0.00014989132,0.00009464864,0.00033932034],"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":[0.000017178894,0.00003068409,0.9913744,0.0000076203314,0.00009779645,0.000055403172,0.00012517982,0.0000072373796,0.00003062553,0.003156722,0.0037565727,0.0013406121],"study_design_scores_gemma":[0.00017953898,0.000118151955,0.9689675,0.0000043121513,0.000047588856,0.00003134406,0.00013062968,0.00019991235,0.000011273941,0.014084478,0.016084762,0.00014052757],"about_ca_topic_score_codex":0.00004694461,"about_ca_topic_score_gemma":0.003969867,"teacher_disagreement_score":0.07995841,"about_ca_system_score_codex":0.00003952839,"about_ca_system_score_gemma":0.0000048176416,"threshold_uncertainty_score":0.99943304},"labels":[],"label_agreement":null},{"id":"W4400073723","doi":"10.1111/geb.13885","title":"A global assessment of nested patterns in insular mammal assemblages","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary 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":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Ecology; Mammal; Nestedness; Geography; Macroecology; Species richness; Biology","score_opus":0.008346406593681823,"score_gpt":0.2595490562573139,"score_spread":0.2512026496636321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400073723","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":[0.98344576,0.006587102,0.00003435588,0.00057566044,0.00050360936,0.00010985492,0.00052899827,0.000041364612,0.008173305],"genre_scores_gemma":[0.998884,0.0006699466,0.00016335883,0.00019552815,0.000022785489,0.0000020239731,0.000057635407,6.3170114e-7,0.000004069733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906194,0.00011626685,0.0002119014,0.00026240898,0.00008896229,0.00025849039],"domain_scores_gemma":[0.99973184,0.00007663021,0.000036385994,0.00007365972,0.000021565527,0.000059938517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020790333,0.00012223021,0.00021634661,0.00011059125,0.00006753917,0.000019423236,0.00009470146,0.00015219925,0.00015266801],"category_scores_gemma":[0.000010871477,0.00009828038,0.00007435075,0.00066474965,0.00023859642,0.000077632314,0.000019410985,0.000081501654,0.000008197459],"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":[0.000015896981,0.000025861718,0.99253106,0.00004172167,0.00007882461,0.000079955535,0.00001603368,0.000019264455,9.975475e-7,0.0020328339,0.00014219723,0.005015349],"study_design_scores_gemma":[0.00022408285,0.00021289926,0.9960621,0.000022996643,0.000028603417,0.0000457114,0.00013211784,0.00067052676,4.5170574e-7,0.001686265,0.00081535283,0.00009890762],"about_ca_topic_score_codex":0.0028251554,"about_ca_topic_score_gemma":0.2142,"teacher_disagreement_score":0.21137485,"about_ca_system_score_codex":0.0000059772174,"about_ca_system_score_gemma":0.000045377896,"threshold_uncertainty_score":0.8001388},"labels":[],"label_agreement":null},{"id":"W4400099412","doi":"10.1111/geb.13884","title":"Proximal microclimate: Moving beyond spatiotemporal resolution improves ecological predictions","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":40,"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":"Agencia Nacional de Investigación y Desarrollo; Vetenskapsrådet; Academy of Finland; Fonds Wetenschappelijk Onderzoek; Svenska Forskningsrådet Formas; European Research Council; Grantová Agentura České Republiky; Natural Environment Research Council; Akademie Věd České Republiky; Agencia Nacional de Promoción Científica y Tecnológica; Rijksdienst voor Ondernemend Nederland; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Sight Research UK; Biodiversa+; Danmarks Frie Forskningsfond; National Science Foundation","keywords":"Microclimate; Ecology; Environmental science; Geography; Physical geography; Biology","score_opus":0.008196779373160018,"score_gpt":0.22741598938363697,"score_spread":0.21921921001047695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400099412","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":[0.97355765,0.0005147464,0.000042103315,0.0014451145,0.00050442695,0.00021773853,0.00053137133,0.00021467915,0.02297217],"genre_scores_gemma":[0.9988478,0.00024879674,0.000189726,0.00040827494,0.000042364994,0.00003996901,0.00016994534,0.0000039656647,0.00004919962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894345,0.000040937066,0.00017571085,0.0003878639,0.0001036401,0.00034837972],"domain_scores_gemma":[0.99973446,0.000024693694,0.000034055327,0.00009203855,0.0000085641095,0.00010620233],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016214619,0.00013725519,0.000117204174,0.000045149358,0.00030123253,0.00007718144,0.000097391865,0.00020423127,0.0068878485],"category_scores_gemma":[0.000016549071,0.00011513825,0.00009393558,0.0004892039,0.0005366943,0.00016966047,0.00018916004,0.000116960524,0.00032827863],"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":[0.000047954465,0.00021349141,0.95611346,0.000029473498,0.000048154325,0.00003404473,0.000042002503,0.000003772166,0.0035237751,0.009672588,0.027109908,0.0031614054],"study_design_scores_gemma":[0.00015897886,0.00023109808,0.9635583,0.0000044053063,0.000033325734,0.00005359273,0.00019055953,0.00042165702,0.00007856647,0.0017444027,0.033389654,0.00013546705],"about_ca_topic_score_codex":0.00016017481,"about_ca_topic_score_gemma":0.0009790511,"teacher_disagreement_score":0.025290107,"about_ca_system_score_codex":0.0001937229,"about_ca_system_score_gemma":0.000010719513,"threshold_uncertainty_score":0.99402},"labels":[],"label_agreement":null},{"id":"W4400797634","doi":"10.1111/geb.13889","title":"Dominance and rarity in tree communities across the globe: Patterns, predictors and threats","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal; Lakehead University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Dominance (genetics); Ecology; Basal area; Species richness; Geography; Rare species; Biology; Habitat","score_opus":0.006596642753148543,"score_gpt":0.24235580886417848,"score_spread":0.23575916611102993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400797634","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":[0.99214154,0.0050744335,0.00001107599,0.0013708735,0.00015280652,0.00013429967,0.000121291654,0.000023519011,0.0009701314],"genre_scores_gemma":[0.9930286,0.006490329,0.00003502714,0.00038618073,0.00000951813,0.000023959014,0.0000069977705,0.000001941919,0.000017440354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993517,0.00008749503,0.00011478296,0.0001891844,0.00004265107,0.00021417861],"domain_scores_gemma":[0.99970514,0.0001533029,0.000022437,0.000084667845,0.0000032218154,0.00003125106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027648805,0.000107931926,0.00012658887,0.000019805122,0.00036857367,0.000037686597,0.0000886148,0.00011206801,0.000023702914],"category_scores_gemma":[0.000005740178,0.00007441467,0.000024117662,0.00019600133,0.0014248498,0.00010574485,0.00024200995,0.00013374595,0.000004010117],"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":[0.000016364032,0.000021474232,0.9910092,0.000016133157,0.000030691557,0.000009904091,0.0009954843,0.0000031167406,0.0000014772176,0.0012092054,0.00011184856,0.006575152],"study_design_scores_gemma":[0.00023262919,0.000084388426,0.9881934,0.0000127541925,0.000015316831,0.00003100651,0.0009639625,0.00038773517,9.96658e-7,0.00945145,0.00054724474,0.000079122496],"about_ca_topic_score_codex":0.0007047897,"about_ca_topic_score_gemma":0.11100577,"teacher_disagreement_score":0.11030098,"about_ca_system_score_codex":0.000017656754,"about_ca_system_score_gemma":0.0000029470189,"threshold_uncertainty_score":0.90521604},"labels":[],"label_agreement":null},{"id":"W4401257483","doi":"10.1111/geb.13895","title":"No general support for functional diversity enhancing resilience across terrestrial plant communities","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Inter-American Institute for Global Change Research; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Grantová Agentura České Republiky; Technology Agency of the Czech Republic; Agence Nationale de la Recherche; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Ecology; Dominance (genetics); Context (archaeology); Ecosystem; Trait; Plant community; Biology; Species diversity; Disturbance (geology); Geography; Species richness","score_opus":0.011337893566307987,"score_gpt":0.24089642286404578,"score_spread":0.2295585292977378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401257483","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":[0.9950724,0.000103355,0.00037932512,0.0001841681,0.0013272418,0.00015170177,0.00053018756,0.000053078275,0.0021985369],"genre_scores_gemma":[0.9986676,0.00010657882,0.00033613684,0.00046332862,0.00007160666,0.000025623573,0.00011767893,0.0000021196647,0.00020935545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927264,0.000041332532,0.0001277549,0.00020817625,0.000071120994,0.00027896007],"domain_scores_gemma":[0.99969953,0.00014949405,0.000029159253,0.000067565605,0.000008053701,0.000046188372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000263279,0.0001040696,0.00011732064,0.000024603378,0.0011170971,0.000027409209,0.00011271002,0.000119206336,0.00021362549],"category_scores_gemma":[0.000015433467,0.00009238337,0.00007962461,0.00013089948,0.0007428292,0.00012446943,0.00046802434,0.000088552646,0.00006699131],"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":[0.000112298076,0.000030769723,0.9936989,0.000010983528,0.00006320629,0.0000074517357,0.00020471387,0.00007243473,0.000039276765,0.0013095587,0.0041021896,0.00034821368],"study_design_scores_gemma":[0.0003304065,0.0002656501,0.9861562,0.000004476129,0.000030932875,0.000023439248,0.0002596593,0.0013269837,0.000009778301,0.0028478557,0.008621728,0.00012284401],"about_ca_topic_score_codex":0.00043850671,"about_ca_topic_score_gemma":0.018118963,"teacher_disagreement_score":0.017680455,"about_ca_system_score_codex":0.000041487634,"about_ca_system_score_gemma":0.000011596872,"threshold_uncertainty_score":0.9997978},"labels":[],"label_agreement":null},{"id":"W4401668133","doi":"10.1111/geb.13899","title":"Predation on Live and Artificial Insect Prey Shows Different Global Latitudinal Patterns","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministry of Science and Higher Education of the Russian Federation; Natural Sciences and Engineering Research Council of Canada; Ministério da Ciência, Tecnologia e Ensino Superior; Mitacs; Chinese Academy of Sciences; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Grantová Agentura České Republiky; National Natural Science Foundation of China; Biotieteiden ja Ympäristön Tutkimuksen Toimikunta; Fundação para a Ciência e a Tecnologia; McGill University","keywords":"Plasticine; Predation; Ecology; Biology; Predator; Boreal; Insect","score_opus":0.008422647508308668,"score_gpt":0.21998966009226079,"score_spread":0.2115670125839521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401668133","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":[0.9967441,0.00019623316,0.000043690736,0.00027161377,0.0006578714,0.00034902955,0.0004122115,0.00008828482,0.0012369847],"genre_scores_gemma":[0.9996045,0.0000520274,0.000022980856,0.0001790652,0.000068397596,0.000031288953,0.000030688527,0.000004171282,0.0000068598315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988354,0.0001067956,0.00016570027,0.00047808726,0.00014158193,0.00027242381],"domain_scores_gemma":[0.9996817,0.000060665938,0.00003749542,0.00011187105,0.0000042120782,0.00010404157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001406635,0.00018321187,0.00016517226,0.00003621588,0.00013733252,0.000084335894,0.00008590362,0.0001595838,0.00030851422],"category_scores_gemma":[0.0000144768655,0.00014531026,0.00006276378,0.0002285894,0.00019588466,0.00011897879,0.0001331498,0.000096014955,0.00014029484],"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":[0.00005233409,0.000083445186,0.98176676,0.00003300671,0.000050401923,0.000024327273,0.000038897062,0.000004688805,0.00010765458,0.0009620476,0.00056708703,0.01630935],"study_design_scores_gemma":[0.00013347235,0.00063009566,0.9952663,0.000031620028,0.000040257924,0.000037310176,0.000018939592,0.0009381626,0.000053876003,0.0022464376,0.00045306925,0.0001504564],"about_ca_topic_score_codex":0.0006626775,"about_ca_topic_score_gemma":0.010654927,"teacher_disagreement_score":0.016158894,"about_ca_system_score_codex":0.000102995924,"about_ca_system_score_gemma":0.0000054188904,"threshold_uncertainty_score":0.5945699},"labels":[],"label_agreement":null},{"id":"W4401778061","doi":"10.1111/geb.13897","title":"The Phylogenetic Structure Patterns of Angiosperm Species and Their Determinants in East Eurasia","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","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":"National Natural Science Foundation of China","keywords":"Phylogenetic tree; Ecology; Biology; Taxon; Niche; Biodiversity; Phylogenetics; Ecological niche; Phylogenetic comparative methods; Geography; Habitat","score_opus":0.003967103698288099,"score_gpt":0.20110509730940238,"score_spread":0.19713799361111428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401778061","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":[0.9966415,0.0024094724,0.0000035857472,0.00030414903,0.00015336006,0.00009147757,0.00010344285,0.0000080357095,0.00028496856],"genre_scores_gemma":[0.998999,0.0008765175,0.000017344735,0.000075606,0.000008099725,0.000004800602,0.0000017951957,0.0000019353304,0.000014907147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994463,0.00004233097,0.00012350446,0.0001865999,0.000032732947,0.0001685866],"domain_scores_gemma":[0.99980927,0.000071073795,0.00002794855,0.000064214466,0.000003798882,0.000023722023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008671393,0.00009405532,0.000112364345,0.000030482255,0.000141117,0.000014108062,0.00008059213,0.00008102753,0.000042311684],"category_scores_gemma":[0.000007870997,0.000056690762,0.000033883218,0.00019772185,0.00063910545,0.000033261822,0.00012550251,0.0000623669,0.0000025506029],"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":[0.000007548047,0.0000101839805,0.9944093,0.000012824356,0.000025465526,0.0000069016405,0.0001932385,0.0000047387757,0.00020052056,0.0006422607,0.000020367823,0.004466615],"study_design_scores_gemma":[0.00009282229,0.00007588751,0.9933688,0.000008757256,0.000010123986,0.000025070482,0.0002996563,0.00020133064,0.00004178161,0.0055432636,0.00027202533,0.00006046542],"about_ca_topic_score_codex":0.00004538337,"about_ca_topic_score_gemma":0.021077111,"teacher_disagreement_score":0.021031728,"about_ca_system_score_codex":0.000010936377,"about_ca_system_score_gemma":0.0000034594977,"threshold_uncertainty_score":0.9967857},"labels":[],"label_agreement":null},{"id":"W4402078085","doi":"10.1111/geb.13909","title":"Functional Traits of the World's Late Quaternary Terrestrial Mammalian Predators","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Charles Sturt University; National Research Foundation; Danmarks Grundforskningsfond; Villum Fonden","keywords":"Quaternary; Ecology; Predation; Biology; Geography; Paleontology","score_opus":0.007152635433398734,"score_gpt":0.20486462345072595,"score_spread":0.19771198801732723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402078085","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":[0.9936901,0.00008127475,0.000004754053,0.0025681793,0.0010666796,0.0001192079,0.00005177066,0.000027650613,0.002390414],"genre_scores_gemma":[0.9989816,0.000009047883,0.000033559412,0.0005807918,0.000052206553,0.0000068443987,0.0000088285715,0.000002171236,0.0003249391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993484,0.000073263494,0.00014256986,0.00020543925,0.000080065955,0.00015025078],"domain_scores_gemma":[0.9998081,0.000042688127,0.000038414022,0.000072205396,0.0000024329618,0.000036215944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013599364,0.000082794846,0.000082017796,0.00003664886,0.00011938185,0.000011832971,0.000112951486,0.00010364803,0.00080803054],"category_scores_gemma":[0.000008426652,0.00005723985,0.00008712006,0.00048763317,0.0004847582,0.00009326809,0.00010002531,0.00008509786,0.000060667837],"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":[0.000049977207,0.000028540502,0.9883947,0.0000039635315,0.000036670415,0.000004467116,0.000012333957,0.000026907564,0.00006684882,0.0012019464,0.008674329,0.0014993398],"study_design_scores_gemma":[0.00017258195,0.000060351133,0.98492146,0.000006330934,0.000032849654,0.000012456416,0.0000064986234,0.0000879238,0.00003769515,0.006228752,0.008372653,0.000060429244],"about_ca_topic_score_codex":0.00014121499,"about_ca_topic_score_gemma":0.0020252676,"teacher_disagreement_score":0.005291542,"about_ca_system_score_codex":0.000021034743,"about_ca_system_score_gemma":0.000015645855,"threshold_uncertainty_score":0.8847368},"labels":[],"label_agreement":null},{"id":"W4403047390","doi":"10.1111/geb.13918","title":"A Latitudinal Cline in the Taxonomic Structure of Eelgrass Epifaunal Communities is Associated With Plant Genetic Diversity","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université du Québec à Chicoutimi","funders":"National Science Foundation; Stiftelsen för Åbo Akademi; Fundação para a Ciência e a Tecnologia; Centro de Ciências do Mar; Svenska Forskningsrådet Formas; Smithsonian Institution","keywords":"Cline (biology); Ecology; Biology; Biodiversity; Geography","score_opus":0.018819738318053083,"score_gpt":0.20131410674669561,"score_spread":0.18249436842864253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403047390","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":[0.99590385,0.0011531758,3.8204823e-7,0.0010256021,0.00009774235,0.00016009544,0.0014680054,0.000017794515,0.00017332469],"genre_scores_gemma":[0.9992082,0.00028150802,0.000027717952,0.0004191463,0.000031996646,0.0000059774547,0.000023312108,2.8784788e-7,0.0000018591729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927336,0.00013813983,0.00015119636,0.00015929108,0.00006535435,0.00021267387],"domain_scores_gemma":[0.9995641,0.00027981226,0.00006376944,0.000038143466,0.000029190562,0.00002499641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014729257,0.0001229813,0.00021899257,0.000022117749,0.0003567037,0.00002386976,0.00019642021,0.00013361027,0.00006122198],"category_scores_gemma":[0.000007886918,0.0000431644,0.00006980331,0.00041883398,0.00052429916,0.00003854394,0.0001581805,0.00014809186,9.31705e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043420983,0.000056716588,0.9986547,0.000006816545,0.00015863706,0.00001828969,0.000048040587,0.0000010604923,0.000024390129,0.00013479295,0.0005186971,0.00033442868],"study_design_scores_gemma":[0.00016332993,0.00051900337,0.99540365,0.000017696368,0.00006509859,0.00002613827,0.0011005714,0.000019694147,0.0000037371346,0.0014450391,0.0011439951,0.00009207024],"about_ca_topic_score_codex":0.0005381555,"about_ca_topic_score_gemma":0.13847426,"teacher_disagreement_score":0.1379361,"about_ca_system_score_codex":0.00001506658,"about_ca_system_score_gemma":0.000007414574,"threshold_uncertainty_score":0.8772463},"labels":[],"label_agreement":null},{"id":"W4403141121","doi":"10.1111/geb.13922","title":"Dispersal Limitation Governs Bacterial Community Assembly in the Northern Pitcher Plant (<i>Sarracenia purpurea</i>) at the Continental Scale","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Howard Hughes Medical Institute; National Institute of Food and Agriculture; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biological dispersal; Ecology; Biology; Scale (ratio); Seed dispersal; Geography; Cartography; Sociology","score_opus":0.010141738372518274,"score_gpt":0.20183955574504314,"score_spread":0.19169781737252486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403141121","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":[0.9900885,0.0010486194,8.986304e-8,0.007123851,0.00021550979,0.00022679733,0.000894661,0.000042841264,0.00035909467],"genre_scores_gemma":[0.9978461,0.00042645918,0.000002305564,0.0009108878,0.00015647481,0.000029739738,0.0006076565,5.0004576e-7,0.000019877743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986992,0.00047659487,0.00016452472,0.00023648381,0.00009210294,0.00033112877],"domain_scores_gemma":[0.99926096,0.000591891,0.00004453741,0.00005140368,0.00001807513,0.000033155302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386259,0.00016932873,0.00018598115,0.00000855092,0.0006483588,0.00006866768,0.0002759121,0.0001891247,0.000033615288],"category_scores_gemma":[0.000027377922,0.00004537108,0.00012629993,0.0003654823,0.00047263346,0.000053247302,0.00015689169,0.00029156002,0.000027317714],"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":[0.0002796993,0.00016677903,0.9192343,0.0000052429673,0.00008042612,0.000019950412,0.00020812555,2.692932e-7,0.0718601,0.00027175815,0.0034491394,0.004424238],"study_design_scores_gemma":[0.0001300578,0.00047594192,0.9826242,0.00000703632,0.000031268493,0.00003954714,0.00080841425,0.000012022246,0.000059942344,0.0005099975,0.01518316,0.000118448064],"about_ca_topic_score_codex":0.0013054634,"about_ca_topic_score_gemma":0.17373815,"teacher_disagreement_score":0.17243269,"about_ca_system_score_codex":0.000026192429,"about_ca_system_score_gemma":0.000005197319,"threshold_uncertainty_score":0.841339},"labels":[],"label_agreement":null},{"id":"W4403777594","doi":"10.1111/geb.13917","title":"<scp>FreshLanDiv</scp>: A Global Database of Freshwater Biodiversity Across Different Land Uses","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Carleton University; McGill University; Wilfrid Laurier University","funders":"National Research, Development and Innovation Office; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Fundação de Amparo à Pesquisa do Estado do Amazonas; China Scholarship Council; Deutsche Forschungsgemeinschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Biodiversa+","keywords":"Macrophyte; Biodiversity; Abundance (ecology); Geography; Ecology; Taxon; Wetland; Land use; Metadata; Database; Freshwater fish; Fish <Actinopterygii>; Biology; Fishery","score_opus":0.007462701074500915,"score_gpt":0.22243126914463854,"score_spread":0.21496856807013762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403777594","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":[0.99107105,0.0005806825,0.000019268202,0.00045353465,0.0004592886,0.00018356762,0.003916689,0.00007635213,0.0032395674],"genre_scores_gemma":[0.99824566,0.0007388931,0.00010032062,0.0007214714,0.000018662573,0.000011851544,0.00011056456,0.000002038666,0.00005051727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987965,0.00005689174,0.0001637916,0.00043781238,0.00011961551,0.00042539174],"domain_scores_gemma":[0.99962735,0.00007674882,0.000045897403,0.00015702723,0.0000074051577,0.00008557072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015727556,0.00018872555,0.00023212914,0.000034364224,0.000290551,0.000031874773,0.00020357287,0.00014529999,0.00030379515],"category_scores_gemma":[0.000025509935,0.00014280206,0.00010449505,0.00037637088,0.0010367144,0.00014664147,0.000961924,0.000083358624,0.00016175587],"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":[0.00001362715,0.00010969296,0.88052243,0.00004493018,0.00019643953,0.00004644838,0.00006391167,0.0000021626938,0.000010209572,0.00025534545,0.11857199,0.00016283884],"study_design_scores_gemma":[0.00035553673,0.00016949275,0.9637291,0.0000118318685,0.00010083839,0.000011178646,0.0001550972,0.000017140143,0.000029032546,0.0015888473,0.03375882,0.00007309325],"about_ca_topic_score_codex":0.0007806763,"about_ca_topic_score_gemma":0.0491551,"teacher_disagreement_score":0.08481317,"about_ca_system_score_codex":0.000039636816,"about_ca_system_score_gemma":0.000003954176,"threshold_uncertainty_score":0.9681953},"labels":[],"label_agreement":null},{"id":"W4404613016","doi":"10.1111/geb.13934","title":"Fine‐Grain Predictions Are Key to Accurately Represent Continental‐Scale Biodiversity Patterns","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":7,"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":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Biodiversity; Ecology; Key (lock); Scale (ratio); Geography; Environmental science; Biology; Cartography","score_opus":0.01695903418379523,"score_gpt":0.24791578203816134,"score_spread":0.2309567478543661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404613016","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":[0.98407125,0.0011853635,0.00002671404,0.0080241915,0.00096791104,0.00024216791,0.002671002,0.0001228855,0.0026885257],"genre_scores_gemma":[0.99868476,0.00019142625,0.0000625705,0.0006160745,0.0000511172,0.0000047990866,0.00031074512,9.4223947e-7,0.00007758085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986042,0.00015428783,0.00016335917,0.00049184693,0.000106823725,0.00047949565],"domain_scores_gemma":[0.9993887,0.00013862942,0.000029574361,0.00015690744,0.000041860767,0.0002443358],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025325507,0.00015348317,0.00020421857,0.0002128068,0.00038491236,0.000060780014,0.00020148787,0.00024771842,0.0012515504],"category_scores_gemma":[0.000033695313,0.00012736034,0.00011192786,0.0006217638,0.00038448672,0.00010686939,0.00006848583,0.00021439692,0.0007846048],"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":[0.000069856156,0.000025822317,0.9862085,0.000025509342,0.00009325425,0.00016973313,0.000057387166,0.000013789158,9.39462e-7,0.00006783252,0.012703423,0.00056397676],"study_design_scores_gemma":[0.00018548491,0.00022803542,0.98912334,0.00001464738,0.00003821977,0.0001700698,0.00020071886,0.00012873975,0.000007918178,0.0006161284,0.009154101,0.00013257109],"about_ca_topic_score_codex":0.0011983244,"about_ca_topic_score_gemma":0.06257918,"teacher_disagreement_score":0.06138085,"about_ca_system_score_codex":0.0000018182154,"about_ca_system_score_gemma":0.000028619386,"threshold_uncertainty_score":0.9999934},"labels":[],"label_agreement":null},{"id":"W4405386056","doi":"10.1111/geb.13940","title":"A Trophic and Non‐Trophic Seasonal Interaction Network Reveals Potential Management Units and Functionally Important Species","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trophic level; Ecology; Boreal; Biome; Food web; Ecological network; Ecosystem; Biology","score_opus":0.012290997468008187,"score_gpt":0.18817695251726763,"score_spread":0.17588595504925944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405386056","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":[0.99220836,0.0052018035,0.0000010478008,0.0014785847,0.0002652098,0.00011948582,0.00020187908,0.000044992295,0.00047860795],"genre_scores_gemma":[0.9926495,0.0065763392,0.000035762074,0.00026645997,0.0003242605,0.000009905303,0.00006338359,4.97335e-7,0.00007390338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919707,0.000032133466,0.00014380057,0.00030676034,0.00008093154,0.0002392821],"domain_scores_gemma":[0.99980545,0.000046291345,0.000036484158,0.000011715395,0.000027708655,0.000072345414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012525759,0.00013873015,0.00015239687,0.000019115267,0.0003374283,0.00009946889,0.000044681554,0.00008673157,0.000051019793],"category_scores_gemma":[0.000003935092,0.000060017344,0.00004911351,0.00040760642,0.00017123368,0.0000776144,0.000118694516,0.000083522384,0.0000046357045],"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":[0.00019296973,0.000032499418,0.97796154,0.000037775135,0.0002499627,0.00015464678,0.000009125616,0.0000014222351,0.0026467892,0.004368703,0.004189808,0.010154756],"study_design_scores_gemma":[0.00009648366,0.0003344335,0.9785556,0.000033572534,0.000074120406,0.00012591804,0.00011561826,0.000064250264,0.0000011745956,0.0038442777,0.016633088,0.000121423975],"about_ca_topic_score_codex":0.0000328737,"about_ca_topic_score_gemma":0.00074151333,"teacher_disagreement_score":0.012443281,"about_ca_system_score_codex":0.0000076168335,"about_ca_system_score_gemma":0.0000028051509,"threshold_uncertainty_score":0.25952598},"labels":[],"label_agreement":null},{"id":"W4405733362","doi":"10.1111/geb.13952","title":"Sampling Simulation in a Virtual Ocean Reveals Strong Sampling Effect in Marine Diversity Patterns","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ministério da Ciência, Tecnologia, Inovações e Comunicações; Natural Sciences and Engineering Research Council of Canada; European Commission; Fundação de Amparo à Pesquisa do Estado de Goiás; Jarislowsky Foundation; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades","keywords":"Species richness; Undersampling; Sampling (signal processing); Macroecology; Sampling bias; Estimator; Null model; Ecology; Statistics; Species diversity; Marine protected area; Rarefaction (ecology); Biology; Sample size determination; Habitat; Mathematics; Computer science","score_opus":0.019336069979217628,"score_gpt":0.2758236573344552,"score_spread":0.2564875873552376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405733362","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":[0.9984495,0.0002547301,0.00002733041,0.00013880682,0.00034159864,0.00022156713,0.000115588504,0.000037735917,0.00041312503],"genre_scores_gemma":[0.9994683,0.000098626515,0.000038051396,0.00011927936,0.00004600643,0.0000011987156,0.00021948882,0.0000013296767,0.000007697206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863833,0.00023343408,0.00020036152,0.00040007112,0.00007393464,0.00045386772],"domain_scores_gemma":[0.9991236,0.00067936955,0.000025637957,0.00007935489,0.000011720967,0.00008031661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090605265,0.00014124667,0.0002307886,0.0003198169,0.00020092551,0.00003237043,0.00013910892,0.00026334246,0.0005720318],"category_scores_gemma":[0.0000688225,0.000120285644,0.000061826555,0.0005367267,0.000153906,0.00013074349,0.00017732213,0.0002885232,0.000027698135],"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":[0.00016801513,0.00001617903,0.97944564,0.000037547008,0.000031577325,0.000066445515,0.000030903066,0.0025608535,8.9745936e-7,0.00010239204,0.000008558734,0.01753101],"study_design_scores_gemma":[0.00035093667,0.00043738424,0.99070054,0.000020460828,0.000011768593,0.000009324014,0.000042482076,0.005956708,5.4421133e-7,0.0022865054,0.00006464339,0.00011868073],"about_ca_topic_score_codex":0.0032008367,"about_ca_topic_score_gemma":0.0424922,"teacher_disagreement_score":0.039291363,"about_ca_system_score_codex":0.000013473907,"about_ca_system_score_gemma":0.000019694087,"threshold_uncertainty_score":0.9749798},"labels":[],"label_agreement":null},{"id":"W4406048112","doi":"10.1111/geb.13937","title":"Spatiotemporal Synchrony of Climate and Fire Occurrence Across North American Forests (1750–1880)","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"Southwest Climate Adaptation Science Center; U.S. Geological Survey; Gordon and Betty Moore Foundation; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Ecology; Geography; Fire ecology; Fire regime; Climate change; Physical geography; Environmental science; Ecosystem; Biology","score_opus":0.005883734108495966,"score_gpt":0.2469325671281724,"score_spread":0.24104883301967645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406048112","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":[0.99432015,0.001327661,0.0000027759415,0.00018900867,0.00017727159,0.00012448042,0.0034608215,0.00003649081,0.00036136247],"genre_scores_gemma":[0.99786407,0.0016506936,0.00018283183,0.00015872161,0.000008955165,0.0000013973316,0.00013089411,8.0882324e-7,0.0000016140222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998923,0.00007838299,0.00021512256,0.00030374338,0.00007886053,0.0004009138],"domain_scores_gemma":[0.9994553,0.00017072422,0.00011717848,0.0001314701,0.000033646145,0.000091691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015725502,0.00014712728,0.00027492477,0.000075867065,0.00022041367,0.00003127743,0.00013702705,0.00007224647,0.000028928858],"category_scores_gemma":[0.000041388186,0.00012357054,0.000058790447,0.0007360321,0.0010699341,0.00008938681,0.00005695717,0.00007609482,0.000006834572],"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":[0.00016062155,0.00001882558,0.8962936,0.00005422937,0.000036762915,0.000009817882,0.000019191108,0.000011833844,4.1266387e-7,0.00003684505,0.00008834835,0.103269525],"study_design_scores_gemma":[0.00024862328,0.00033219825,0.99821407,0.000017410684,0.000024735837,0.000012917637,0.000080135804,0.00021164867,0.0000053914514,0.00014725186,0.0005900654,0.00011556922],"about_ca_topic_score_codex":0.0032219698,"about_ca_topic_score_gemma":0.114193015,"teacher_disagreement_score":0.11097105,"about_ca_system_score_codex":0.0000027396022,"about_ca_system_score_gemma":0.000037346552,"threshold_uncertainty_score":0.9019706},"labels":[],"label_agreement":null},{"id":"W4406132973","doi":"10.1111/geb.13954","title":"Rising Atmospheric <scp>CO<sub>2</sub></scp> Alleviates Drought Impact on Autumn Leaf Senescence Over Northern Mid‐High Latitudes","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Latitude; Senescence; Phenology; Environmental science; Atmospheric sciences; Climatology; Climate change; Biology; Ecology; Geography","score_opus":0.002540188675999333,"score_gpt":0.2032151119217486,"score_spread":0.20067492324574926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406132973","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":[0.995018,0.00023122631,0.00009078233,0.00009845492,0.00020979976,0.00017898316,0.00015266384,0.000069817106,0.00395024],"genre_scores_gemma":[0.9988511,0.00035635446,0.00022132842,0.00042726635,0.000017065333,0.000009984093,0.00006610059,0.0000065691397,0.00004419419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986373,0.00007828931,0.0002206467,0.00045840465,0.00015471608,0.0004506338],"domain_scores_gemma":[0.9994765,0.00010462138,0.00009708148,0.00020436311,0.000010429071,0.00010701385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014542782,0.00026427998,0.0002424633,0.000033126467,0.00031454331,0.00006230906,0.0001965948,0.00024277029,0.00004682726],"category_scores_gemma":[0.00001863284,0.00021084302,0.00015636279,0.0007333233,0.00035954532,0.00014173168,0.00013712209,0.00015663353,0.00009141762],"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":[0.000016807533,0.000115982155,0.99210954,0.0000067646147,0.0001081305,0.000018698836,0.000023819566,0.002866748,0.0019634156,0.00024179625,0.0004662193,0.002062091],"study_design_scores_gemma":[0.0003528542,0.0001445451,0.9925215,0.000019960198,0.00005341174,0.000013583597,0.000013945546,0.0019454461,0.0005778444,0.003012293,0.0012305785,0.00011403603],"about_ca_topic_score_codex":0.0006002364,"about_ca_topic_score_gemma":0.0023374986,"teacher_disagreement_score":0.003906046,"about_ca_system_score_codex":0.00012518872,"about_ca_system_score_gemma":0.000020395197,"threshold_uncertainty_score":0.8597929},"labels":[],"label_agreement":null},{"id":"W4406406038","doi":"10.1111/geb.13956","title":"Marked Variability in Distance‐Decay Patterns Suggests Contrasting Dispersal Ability in Abyssal Taxa","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Agencia Estatal de Investigación; University of California, Santa Barbara; Natural Environment Research Council; Sight Research UK","keywords":"Biological dispersal; Ecology; Taxon; Abyssal zone; Seed dispersal; Biology; Distance decay; Geography; Oceanography; Geology","score_opus":0.008128414229062476,"score_gpt":0.21046404657071766,"score_spread":0.2023356323416552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406406038","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":[0.9962788,0.00025365604,0.000004439858,0.0011056836,0.00010441115,0.00020572466,0.0004422018,0.000029930892,0.0015751395],"genre_scores_gemma":[0.9995938,0.00012360093,0.00000873654,0.00019463514,0.000025588275,0.000020982538,0.00002915111,2.120027e-7,0.000003288806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866116,0.00021151909,0.0002639378,0.00041472793,0.00006150437,0.00038712955],"domain_scores_gemma":[0.9993698,0.00048435075,0.00004880842,0.000025486532,0.000023712157,0.000047852423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006375886,0.00015241913,0.0002879164,0.000022514987,0.00014186627,0.0000250368,0.00013677918,0.0001604784,0.000046825076],"category_scores_gemma":[0.00011628294,0.000068420224,0.000076258104,0.00065469433,0.00023127199,0.000056134937,0.000114923474,0.00013126302,0.0000012460849],"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":[0.00014963596,0.00016532306,0.9871713,0.000013378295,0.00001573295,0.000012257995,0.000010249182,2.2810427e-7,0.0010793926,0.0016105111,0.000034455985,0.009737531],"study_design_scores_gemma":[0.0003038389,0.000082051636,0.99666816,0.000027527105,0.000008377543,0.0000017313943,0.00013536545,0.000034964145,0.000019844554,0.00197242,0.00061872776,0.00012699781],"about_ca_topic_score_codex":0.0020433823,"about_ca_topic_score_gemma":0.17565617,"teacher_disagreement_score":0.17361279,"about_ca_system_score_codex":0.00003769614,"about_ca_system_score_gemma":0.0000075261987,"threshold_uncertainty_score":0.839386},"labels":[],"label_agreement":null},{"id":"W4407613473","doi":"10.1111/geb.70004","title":"Global Marine Flyways Identified for Long‐Distance Migrating Seabirds From Tracking Data","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":15,"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; Environment and Climate Change Canada; Acadia University; Arkema (Canada)","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Ecology; Satellite tracking; Geography; Tracking (education); Biology; Satellite","score_opus":0.01676371807127357,"score_gpt":0.2716056495849113,"score_spread":0.2548419315136377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407613473","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":[0.9708711,0.0018776443,0.001905028,0.00096787827,0.0005556328,0.00060653425,0.0018934237,0.00009991775,0.021222861],"genre_scores_gemma":[0.9938499,0.0004157313,0.0038728232,0.0013917482,0.000048330756,0.000035492747,0.00032784927,0.0000044476187,0.000053717733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998398,0.000048049984,0.00028519286,0.00073785055,0.00012199595,0.00040891752],"domain_scores_gemma":[0.9993074,0.00009223238,0.000099603356,0.000410113,0.000017703205,0.0000729437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002715388,0.0002046712,0.00028061584,0.000019410687,0.0003915645,0.000065475084,0.00058079435,0.00013078842,0.0003223949],"category_scores_gemma":[0.0001030725,0.00019275588,0.000093926756,0.00070341455,0.0003370389,0.0001979375,0.0020723168,0.00006647483,0.000020046891],"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":[0.00006945485,0.00006405964,0.9351222,0.000031882653,0.0001141713,0.0000072497733,0.000005178736,0.0000021227552,0.0000055735877,0.0015700117,0.00905413,0.053953987],"study_design_scores_gemma":[0.0004838607,0.000055519256,0.9480899,0.000013033579,0.00010506037,0.0000027633594,0.000041353378,0.00028933643,0.0000073946553,0.00978124,0.04096111,0.00016946212],"about_ca_topic_score_codex":0.009132753,"about_ca_topic_score_gemma":0.2562289,"teacher_disagreement_score":0.24709614,"about_ca_system_score_codex":0.00009150301,"about_ca_system_score_gemma":0.000012846825,"threshold_uncertainty_score":0.9974655},"labels":[],"label_agreement":null},{"id":"W4407985026","doi":"10.1111/geb.70015","title":"<scp>LandFrag</scp>: A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","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":"Agencia Estatal de Investigación; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Universitas Lampung; Nottingham Trent University; Universidade Federal de Pernambuco; Universidade Federal de Viçosa; Consejo Nacional de Investigaciones Científicas y Técnicas; Norges Miljø- og Biovitenskapelige Universitet; Universidade Estadual Paulista; Universidade Federal de Minas Gerais; Universidad Nacional Autónoma de México; Universidad de Alcalá; Fundação Araucária; Fundação de Amparo à Pesquisa do Estado de São Paulo; Universidade Federal de Goiás; Universidade Federal de Santa Catarina; Directorate for Biological Sciences; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Deakin University; Universidade Estadual de Santa Cruz; DePaul University; Universidade do Estado de Mato Grosso; Commonwealth Scientific and Industrial Research Organisation; Universidad Nacional de Córdoba; College of Engineering, Michigan State University; University of Washington; Trent University; Michigan State University; University of Michigan","keywords":"Forest fragmentation; Biodiversity; Fragmentation (computing); Ecology; Geography; Habitat destruction; Forestry; Biology","score_opus":0.0030802800628021657,"score_gpt":0.19736701652334465,"score_spread":0.19428673646054248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407985026","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":[0.9979965,0.00010095676,0.000002445431,0.0005355208,0.000129617,0.00023377885,0.00062880456,0.000008364127,0.0003640106],"genre_scores_gemma":[0.9969602,0.000096505784,0.000025013489,0.0027927612,0.0000047790973,0.000008669102,0.00010929639,6.372707e-7,0.0000021439273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946684,0.000049329443,0.000084900246,0.00019580468,0.000060245453,0.000142909],"domain_scores_gemma":[0.99965334,0.00012770022,0.000041129802,0.00011213462,0.000003629753,0.00006208237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010864569,0.00008269412,0.000105364525,0.000037815244,0.00017785846,0.000015875412,0.00012251931,0.00006691511,0.000008553007],"category_scores_gemma":[0.000022146656,0.00005252498,0.000022428088,0.00031903962,0.00011980322,0.000058044807,0.0001995646,0.000035203408,0.00003109634],"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":[0.000014493074,0.00003128496,0.98824376,0.0000467497,0.00003493028,0.0000040051473,0.000047868805,0.000015809748,0.00002860392,0.000111749534,0.011184234,0.00023648642],"study_design_scores_gemma":[0.000343518,0.0002138731,0.99052197,0.000017892571,0.000045247307,0.000002042844,0.00005556742,0.000016080516,0.00025025834,0.0013797682,0.0071250172,0.00002879323],"about_ca_topic_score_codex":0.0011207118,"about_ca_topic_score_gemma":0.004772838,"teacher_disagreement_score":0.004059217,"about_ca_system_score_codex":0.00000976645,"about_ca_system_score_gemma":0.0000032274183,"threshold_uncertainty_score":0.26633558},"labels":[],"label_agreement":null},{"id":"W4407985363","doi":"10.1111/geb.70019","title":"Harnessing the Full Power of Data to Characterise Biological Scaling Relationships","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Macroecology; Scaling; Geography; Biodiversity; Biology; Mathematics","score_opus":0.03781318108786582,"score_gpt":0.26591512102183695,"score_spread":0.22810193993397113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407985363","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":[0.9955702,0.00008431928,0.00012568831,0.0026259122,0.000062323204,0.00011558224,0.00013289832,0.000016382975,0.0012667304],"genre_scores_gemma":[0.9979639,0.000024029618,0.0009396715,0.0010080505,0.0000072336593,0.0000066260277,0.000043326858,6.4802845e-7,0.000006527374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992906,0.00008226384,0.00015562521,0.0002714307,0.000048046524,0.00015204301],"domain_scores_gemma":[0.9995708,0.00012411125,0.000041837033,0.00020609147,0.000007745933,0.00004945018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021504644,0.00007436233,0.000109186214,0.00001818149,0.00023326195,0.000010899488,0.00032885597,0.00010343515,0.00013010163],"category_scores_gemma":[0.000111700334,0.000040999046,0.00003776184,0.0005804633,0.00051398017,0.00006460018,0.0006282299,0.00009223294,0.000025518542],"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":[0.00006835075,0.0001209011,0.92311805,0.0000024268058,0.000022876658,8.2139087e-7,0.000021356516,0.0000056288764,0.06856579,0.0015211863,0.0012267306,0.005325863],"study_design_scores_gemma":[0.00006773894,0.00005274383,0.98872757,0.0000056589215,0.000011834985,0.000001502707,0.00006173511,0.0000393295,0.00018867133,0.007364203,0.0034237779,0.00005526182],"about_ca_topic_score_codex":0.000037394715,"about_ca_topic_score_gemma":0.000047186604,"teacher_disagreement_score":0.06837712,"about_ca_system_score_codex":0.0000085702,"about_ca_system_score_gemma":0.0000046663604,"threshold_uncertainty_score":0.18937813},"labels":[],"label_agreement":null},{"id":"W4408843997","doi":"10.1111/geb.70013","title":"Synchrony and Tail‐Dependent Synchrony Have Different Effects on Stability of Terrestrial and Freshwater Communities","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Horizon 2020 Framework Programme; Board of the Swiss Federal Institutes of Technology; H2020 European Research Council; Universität Zürich; European Commission","keywords":"Ecology; Stability (learning theory); Biology; Geography; Environmental science","score_opus":0.004973702160485227,"score_gpt":0.21585351845214876,"score_spread":0.21087981629166352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408843997","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":[0.99725634,0.0002629766,0.000012642929,0.00038120378,0.00019256039,0.00030994977,0.00006608898,0.000015263679,0.0015029499],"genre_scores_gemma":[0.9992026,0.00022678991,0.00006731828,0.00043549808,0.000011710273,0.000028131877,0.0000145937065,0.0000027023316,0.000010626282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874127,0.00032588904,0.00024269342,0.0003093234,0.000100373625,0.00028042472],"domain_scores_gemma":[0.9992882,0.00030865983,0.00007927191,0.00025113652,0.00000551572,0.00006719203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024537378,0.00018997151,0.00036920237,0.0000885926,0.00020753562,0.000021372389,0.00015888392,0.0001980256,0.0002326424],"category_scores_gemma":[0.00003269742,0.00014796208,0.000067688205,0.00013396343,0.0014505725,0.000056036868,0.0005170355,0.00013915742,0.0000037660284],"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":[0.0001298518,0.00015401896,0.99433845,0.00003183638,0.0001261587,0.00000547333,0.00007940551,0.0000024804908,0.0002857521,0.00021275268,0.0002580034,0.004375785],"study_design_scores_gemma":[0.0009758127,0.0006238411,0.9929116,0.000017113412,0.00012861936,0.0000056184595,0.0002589896,0.00013849436,0.0017846575,0.002515836,0.0005085457,0.0001308697],"about_ca_topic_score_codex":0.0015967839,"about_ca_topic_score_gemma":0.039681643,"teacher_disagreement_score":0.038084857,"about_ca_system_score_codex":0.00006321375,"about_ca_system_score_gemma":0.00000710926,"threshold_uncertainty_score":0.9778417},"labels":[],"label_agreement":null},{"id":"W4409037501","doi":"10.1111/geb.70034","title":"Boreal Tree Growth May Be More Tolerant to Warming Than Previously Considered: Implications for Future Modelling Studies","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Université Laval; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; New Brunswick Innovation Foundation","keywords":"Boreal; Ecology; Taiga; Geography; Climate change; Tree (set theory); Global warming; Biology; Environmental science; Mathematics","score_opus":0.012825023212430356,"score_gpt":0.26076588539262,"score_spread":0.24794086218018968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409037501","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":[0.9810511,0.00057816575,0.002009088,0.013604289,0.00016978498,0.0005069979,0.00045588514,0.00004345329,0.0015812753],"genre_scores_gemma":[0.9931975,0.0004719344,0.004214929,0.0018668652,0.00002173445,0.00011622193,0.00007073557,0.000003249836,0.000036808877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917585,0.000018528417,0.000170498,0.00031444835,0.000045730474,0.00027496787],"domain_scores_gemma":[0.9996912,0.000051291816,0.000039919116,0.00012329336,0.000021957969,0.00007233334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010832155,0.00013300862,0.00017771406,0.000063458414,0.00030857313,0.000019401552,0.00011707327,0.00011399616,0.0000033057374],"category_scores_gemma":[0.0000084299545,0.00011008103,0.00008562804,0.00037575632,0.00019077999,0.000058262172,0.00012473435,0.0000550942,0.0000016858821],"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":[0.000032744716,0.000044533394,0.98225015,0.00001755332,0.00011500095,0.0000016329942,0.00020533273,0.0018116225,0.000024003577,0.011503195,0.0020073894,0.0019868484],"study_design_scores_gemma":[0.00049661624,0.00013752624,0.94857526,0.000020538526,0.00017405042,0.000024249632,0.00047519684,0.0064526876,0.0000212412,0.035565842,0.0078016673,0.00025515415],"about_ca_topic_score_codex":0.00020895337,"about_ca_topic_score_gemma":0.001802814,"teacher_disagreement_score":0.03367491,"about_ca_system_score_codex":0.000046132838,"about_ca_system_score_gemma":0.000011390017,"threshold_uncertainty_score":0.44889742},"labels":[],"label_agreement":null},{"id":"W4409131950","doi":"10.1111/geb.70035","title":"<scp> <i>tinyVAST</i> </scp> : R Package With an Expressive Interface to Specify Lagged and Simultaneous Effects in Multivariate Spatio‐Temporal Models","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Multivariate statistics; R package; Multivariate analysis; Ecology; Interface (matter); Computer science; Geography; Biology; Programming language; Machine learning; Meteorology","score_opus":0.004477121435106949,"score_gpt":0.2236520857578574,"score_spread":0.21917496432275044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409131950","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":[0.99139047,0.00013062704,0.0042109843,0.00009944336,0.000100220925,0.00045071886,0.000088425506,0.00003236564,0.0034967514],"genre_scores_gemma":[0.99434555,0.000029709907,0.004884587,0.00064317323,0.0000081847365,0.00002935985,0.000017414506,0.0000051176157,0.000036882455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988392,0.00007643806,0.00016300681,0.00048165314,0.00008738881,0.00035231432],"domain_scores_gemma":[0.99934715,0.0002837832,0.000059946684,0.00014919146,0.000013006651,0.00014693386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001312605,0.00019000233,0.00022560636,0.00008594029,0.00012528241,0.000044001375,0.00012612686,0.00012223145,0.000010368111],"category_scores_gemma":[0.00008788775,0.00016218802,0.000021983013,0.00048374006,0.00025245003,0.00011644652,0.00024247472,0.000110091976,0.00000776038],"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":[0.00013301261,0.00015798664,0.98528415,0.000027920576,0.00004158747,0.00013414734,0.00052716647,0.0032801267,0.00041363982,0.0007989212,0.00069446425,0.008506876],"study_design_scores_gemma":[0.0015510315,0.000804572,0.973921,0.000072797746,0.000037708858,0.000013941715,0.00042567696,0.008343771,0.00033214793,0.012133345,0.002198414,0.00016558575],"about_ca_topic_score_codex":0.0016035057,"about_ca_topic_score_gemma":0.008517431,"teacher_disagreement_score":0.011363143,"about_ca_system_score_codex":0.000033825374,"about_ca_system_score_gemma":0.000009789405,"threshold_uncertainty_score":0.66138357},"labels":[],"label_agreement":null},{"id":"W4409344035","doi":"10.1111/geb.70012","title":"How to Define, Use, and Interpret Pagel's λ$$ \\lambda $$ (Lambda) in Ecology and Evolution","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":28,"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":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Alan Turing Institute","keywords":"Ecology; Lambda; Geography; Biology; Physics","score_opus":0.007132362092217233,"score_gpt":0.20836389379472034,"score_spread":0.2012315317025031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409344035","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":[0.9850247,0.005416426,0.00004772232,0.0061698747,0.00044050234,0.00022921813,0.00014861298,0.000031975407,0.0024909724],"genre_scores_gemma":[0.9963907,0.0008976135,0.0005011373,0.0021125656,0.000015370033,0.0000063408424,0.000024021429,8.8870826e-7,0.00005135208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988351,0.00016000874,0.00017412583,0.00041630722,0.000048293987,0.0003661773],"domain_scores_gemma":[0.9994857,0.00023862123,0.00003450685,0.000093928946,0.000039504182,0.00010775937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020775468,0.00017044254,0.00028521632,0.00030298065,0.00023576761,0.000059385216,0.000082436956,0.0002543449,0.000018038012],"category_scores_gemma":[0.00014571621,0.00014815609,0.000036476857,0.00057069334,0.0005595406,0.00015713197,0.00005915977,0.00013186435,0.000005245337],"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":[0.00010973897,0.000015947158,0.9916947,0.000016558295,0.000055173154,0.000010385359,0.000038843864,0.0000022285678,0.0000030003534,0.003811791,0.0015016729,0.0027399985],"study_design_scores_gemma":[0.00047293562,0.0002999039,0.9888569,0.000014409551,0.000031642536,0.00003245503,0.0002658011,0.000085541964,8.659276e-7,0.0045036348,0.005295089,0.00014078188],"about_ca_topic_score_codex":0.001537532,"about_ca_topic_score_gemma":0.45532387,"teacher_disagreement_score":0.45378634,"about_ca_system_score_codex":0.0000073155434,"about_ca_system_score_gemma":0.00002680717,"threshold_uncertainty_score":0.604163},"labels":[],"label_agreement":null},{"id":"W4410127237","doi":"10.1111/geb.70021","title":"Worldwide Soundscapes: A Synthesis of Passive Acoustic Monitoring Across Realms","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; University of Northern British Columbia; Ocean Networks Canada Society; University of British Columbia; Fisheries and Oceans Canada; Environment and Climate Change Canada; Mount Allison University; University of Windsor; Raincoast Conservation Foundation; Wildlife Conservation Society Canada; Simon Fraser University; Ministry of Natural Resources and Forestry; University of Victoria","funders":"Pacific Northwest Research Station; Russian Academy of Sciences; Fundação para a Ciência e a Tecnologia; Universität Greifswald; Leibniz-Gemeinschaft; Australian Research Council; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Universidade Federal da Paraíba; HORIZON EUROPE Framework Programme; U.S. Forest Service; Consejo Superior de Investigaciones Científicas; Shanghai Ocean University; European Regional Development Fund; Centre National de la Recherche Scientifique; Directorate for Biological Sciences; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Sorbonne Université; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; Leverhulme Trust; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Rijksuniversiteit Groningen; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Federal do Rio Grande do Norte; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; University of Bristol; Academia Sinica; Muséum National d'Histoire Naturelle; Wildlife Conservation Society; Cetacean Society International; Universidade de Lisboa; National Science Foundation; Universidad Autónoma de Madrid; University of Waikato; Bat Conservation International; University of Northern British Columbia; Environment and Climate Change Canada; Royal Society Te Apārangi; University of Salford Manchester; Universität Hohenheim; Universidade Estadual de Santa Cruz; KU Leuven; Westlake University; Okinawa Institute of Science and Technology Graduate University; Pontifícia Universidade Católica de Minas Gerais; National Oceanic and Atmospheric Administration; Technische Universität Dresden; Bundesministerium für Bildung und Forschung","keywords":"Soundscape; Sampling (signal processing); Diel vertical migration; Ecosystem; Biodiversity; Metadata; Ecology; Environmental science; Marine ecosystem; Temporal scales; Geography; Environmental resource management; Oceanography; Sound (geography); Geology; Computer science; Biology","score_opus":0.007373115128775335,"score_gpt":0.2878988678109039,"score_spread":0.2805257526821286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410127237","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":[0.9967147,0.0011860953,0.00010852227,0.00020770715,0.00013135059,0.0001030868,0.000102474405,0.00001375797,0.0014322808],"genre_scores_gemma":[0.9986792,0.00070125505,0.00031739825,0.00016767585,0.000025112095,0.00003639601,0.000018359648,0.000003289754,0.000051269646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992565,0.00006234778,0.00018889765,0.00023159549,0.00005052475,0.00021013868],"domain_scores_gemma":[0.9994926,0.000040195297,0.00007774595,0.00024548656,0.00009498219,0.000049019447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110221976,0.000117466676,0.00016747805,0.00004298696,0.0001495902,0.000012899885,0.00020340328,0.000225623,0.0000063448488],"category_scores_gemma":[0.00009088865,0.00010747552,0.00011208031,0.00028134236,0.00031876235,0.000002987593,0.00021630482,0.00007227002,0.0000018285938],"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":[0.00014058055,0.000119144745,0.94019765,0.000025215384,0.00011764682,0.0000017870449,0.000010918922,0.0000022839674,0.048130274,0.00031736863,0.00035114016,0.0105860075],"study_design_scores_gemma":[0.00027282292,0.00020765381,0.9705878,0.000030027353,0.00008791993,0.000006290134,0.0004668821,0.0000031834732,0.025114015,0.0002766089,0.0028189693,0.00012781467],"about_ca_topic_score_codex":0.000059088183,"about_ca_topic_score_gemma":0.0002640616,"teacher_disagreement_score":0.03039018,"about_ca_system_score_codex":0.000007811031,"about_ca_system_score_gemma":0.000035428424,"threshold_uncertainty_score":0.43827245},"labels":[],"label_agreement":null},{"id":"W4410313037","doi":"10.1111/geb.70056","title":"Complex Life Cycles Shape the Functional Biogeography of European Dragonflies","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Leibniz-Gemeinschaft; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung","keywords":"Biogeography; Ecology; Geography; Insular biogeography; Biology","score_opus":0.018358581845592477,"score_gpt":0.23244846739540892,"score_spread":0.21408988554981645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410313037","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":[0.8988237,0.00040890567,0.000016934553,0.0029348275,0.00021873841,0.00012057882,0.00040916176,0.00004062439,0.09702653],"genre_scores_gemma":[0.9967123,0.00026105627,0.000028099823,0.002859517,0.000015395772,0.0000076649385,0.00009231866,0.0000021771855,0.0000214462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999138,0.0000986457,0.00019348848,0.0002359092,0.00011166081,0.00022230722],"domain_scores_gemma":[0.99964213,0.000048686677,0.00007364845,0.00015330805,0.000017097205,0.000065116525],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019779641,0.00012335778,0.00013783452,0.000057571877,0.00031759846,0.000023333625,0.00020412347,0.00006593332,0.0105939265],"category_scores_gemma":[0.00002403096,0.00008713957,0.00014227626,0.00082599826,0.0014812626,0.000045696743,0.00026756315,0.00006318691,0.00011089868],"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":[0.000034418146,0.000088863846,0.9567459,0.000005752686,0.000060463462,0.0000010780312,0.000011878127,0.0000018093089,0.00019639486,0.015427148,0.025884774,0.0015414692],"study_design_scores_gemma":[0.00025541332,0.00005145482,0.92448515,0.000002756529,0.000032894037,0.0000034789796,0.0004915824,0.000011766218,0.000017659704,0.0010667111,0.07350328,0.00007787658],"about_ca_topic_score_codex":0.00015771268,"about_ca_topic_score_gemma":0.00043294768,"teacher_disagreement_score":0.097888626,"about_ca_system_score_codex":0.00002277056,"about_ca_system_score_gemma":0.0000063939965,"threshold_uncertainty_score":0.99031055},"labels":[],"label_agreement":null},{"id":"W4410373514","doi":"10.1111/geb.70050","title":"Ecological Specialisation of Reef Fishes Peaks in Global Biodiversity Hotspots","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ecology; Biodiversity; Reef; Geography; Biodiversity hotspot; Coral reef fish; Fishery; Biology","score_opus":0.005731658570953835,"score_gpt":0.20616134526789864,"score_spread":0.2004296866969448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410373514","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":[0.97593135,0.000099966,0.0000021233247,0.0011452,0.00025478084,0.00014694555,0.00013207091,0.000016379745,0.0222712],"genre_scores_gemma":[0.999483,0.0001434121,0.000059593927,0.00027500532,0.0000074279883,0.000004911652,0.00000806232,2.5430026e-7,0.000018359895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992881,0.00005626405,0.00016825357,0.00024094469,0.0000624446,0.00018402237],"domain_scores_gemma":[0.99980074,0.000028670505,0.000055117966,0.00007475777,0.000008913528,0.00003179389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014176252,0.00009387808,0.00019200477,0.000039050552,0.00010379928,0.000006295961,0.00011224212,0.000116562354,0.00021412026],"category_scores_gemma":[0.000033446926,0.000079483165,0.000063798216,0.0006609412,0.00036740527,0.000057510293,0.00040511822,0.000043416287,0.000024139536],"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":[0.000051910967,0.00011753378,0.98866314,0.000008422563,0.000018880779,0.0000067125297,0.000009635043,0.0000013638271,0.000009666148,0.0006637223,0.00680757,0.0036414454],"study_design_scores_gemma":[0.00033326403,0.00011317366,0.9893884,0.000004142822,0.000017440483,0.000002432418,0.000072669594,0.0000042781653,0.0000066196835,0.005659881,0.004326354,0.00007134282],"about_ca_topic_score_codex":0.0016704631,"about_ca_topic_score_gemma":0.02073836,"teacher_disagreement_score":0.02355164,"about_ca_system_score_codex":0.000082430604,"about_ca_system_score_gemma":0.0000071513223,"threshold_uncertainty_score":0.99713063},"labels":[],"label_agreement":null},{"id":"W4410377162","doi":"10.1111/geb.70052","title":"Continental Connections: Changing Temperature, Wind and Precipitation Advance the Postbreeding Roosting Phenology of Avian Aerial Insectivores","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Avian ecology and behavior","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":"National Science Foundation","keywords":"Insectivore; Phenology; Ecology; Geography; Precipitation; Physical geography; Environmental science; Biology; Habitat; Meteorology","score_opus":0.00423813833971394,"score_gpt":0.2212213203060891,"score_spread":0.21698318196637517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410377162","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":[0.9973416,0.00039956757,0.00002189345,0.00059688155,0.0005024828,0.00025330993,0.000034150642,0.000021254184,0.00082888844],"genre_scores_gemma":[0.9993399,0.000058615737,0.00017730944,0.000350382,0.00002683348,0.000016102758,0.000008787366,0.0000022068866,0.000019882364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992007,0.0000976053,0.00016775381,0.00025174537,0.000043096563,0.00023907553],"domain_scores_gemma":[0.99964786,0.00012283158,0.00011216774,0.000074226664,0.000014040246,0.000028906783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022090018,0.00011112908,0.00015220798,0.00008001031,0.00046908495,0.000013004265,0.00009181517,0.00017484964,0.000056753343],"category_scores_gemma":[0.00008621521,0.000086626984,0.00003891992,0.00049063243,0.00091565325,0.000115618495,0.00016349615,0.000117101394,0.0000024059934],"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":[0.00006176094,0.000047389676,0.991845,0.000006272741,0.000029865894,0.0000019168397,0.00013672149,0.00000671931,0.0036412808,0.0009076702,0.000037878555,0.0032775009],"study_design_scores_gemma":[0.00048325318,0.00018533738,0.9957805,0.000012077745,0.000053596865,0.000033306762,0.00073265197,0.000010024377,0.0005142811,0.0018874883,0.0002276445,0.000079816025],"about_ca_topic_score_codex":0.0000790626,"about_ca_topic_score_gemma":0.000848145,"teacher_disagreement_score":0.003935499,"about_ca_system_score_codex":0.00002331965,"about_ca_system_score_gemma":0.000008066723,"threshold_uncertainty_score":0.36078694},"labels":[],"label_agreement":null},{"id":"W4410416531","doi":"10.1111/geb.70003","title":"BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","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":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Regina; Université du Québec à Montréal; University of Alberta; University of Waterloo; Memorial University of Newfoundland; University of Guelph; Simon Fraser University; Yukon Department of Environment; Dalhousie University; University of British Columbia; Fisheries and Oceans Canada; Environment and Climate Change Canada; Université du Québec en Outaouais; GDG Environnement; Western University; Université de Sherbrooke; University of Victoria","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Pacific Northwest Research Station; Instituut voor Landbouw-, Visserij- en Voedingsonderzoek, Vlaamse Overheid; School of Life and Environmental Sciences, Deakin University; Instituto Español de Oceanografía; Agencia Estatal de Investigación; Australian Antarctic Division; Fundação para a Ciência e a Tecnologia; Australian Research Council; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Cornell Atkinson Center for Sustainability, Cornell University; David R. Atkinson Center for a Sustainable Future , Cornell University; Horizon 2020 Framework Programme; U.S. Forest Service; Universidad de Ciencias Aplicadas y Ambientales; Office Français de la Biodiversité; Operation Wallacea; Agencia Nacional de Investigación y Desarrollo; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Instituto Milenio de Oceanografía; Ministerio del Ambiente, Agua y Transición Ecológica; Provincia autonoma di Bolzano - Alto Adige; Universidad de Cádiz; Universidade Estadual Paulista; Deakin University; Universidade Federal do Paraná; Hakai Institute; Åbo Akademi; Università di Pisa; Helmholtz-Zentrum für Umweltforschung; Stiftelsen för Åbo Akademi; Nærings- og Fiskeridepartementet; Deutscher Akademischer Austauschdienst; Hokkaido University; Directorate for Biological Sciences; Göteborgs Universitet; H2020 European Research Council; Universidade de São Paulo; Japan Society for the Promotion of Science; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Ghana; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Petrobras; HORIZON EUROPE Marie Sklodowska-Curie Actions; Florida Fish and Wildlife Conservation Commission; University of Hong Kong; National Research Foundation of Korea; Kerala State Council for Science, Technology and Environment; Euskal Herriko Unibertsitatea; Suomen Kulttuurirahasto; Pontificia Universidad Católica de Chile; Government of the United Kingdom; Canada Excellence Research Chairs, Government of Canada; Australian Marine Sciences Association; Universidade Federal da Paraíba; Marine National Facility; Universidad Nacional de Colombia; Fondation Bertarelli; Academy of Finland; Universiteit Hasselt; James Cook University; Centro de Ciências do Mar; Deutsche Forschungsgemeinschaft; Agricultural Research Service; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Federal de Santa Catarina; Gordon and Betty Moore Foundation; Macquarie University; Botanical Society of Britain and Ireland; Commonwealth Scientific and Industrial Research Organisation; Utah Agricultural Experiment Station; University of Tasmania; Royal Society; Fundação de Amparo à Pesquisa do Estado de São Paulo; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Bridgewater State University; University of St Andrews; European Regional Development Fund; Ministry of Environment; European Synchrotron Radiation Facility; Akademie Věd České Republiky; Ministry of Agriculture, Forestry and Fisheries; National Geographic Society; Fisheries Society of the British Isles; Universidade do Estado de Mato Grosso; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Biodiversa+; College of Science and Engineering, University of Minnesota; Agence Nationale de la Recherche; National Oceanic and Atmospheric Administration; Norges Forskningsråd; Division of Environmental Biology; Vlaamse regering; Australian Government; National Science and Technology Council; Uniwersytet Łódzki; Helsingin Yliopisto; International Institute of Tropical Forestry; Natural England; Universidade de Lisboa; National Institute of Food and Agriculture; U.S. Fish and Wildlife Service; Linnean Society of NSW; Northern Illinois University; National Park Service; Earthwatch Institute; James Hutton Institute; Anglia Ruskin University; University College Dublin; Wildlife Conservation Society; National Aeronautics and Space Administration; Fonds Wetenschappelijk Onderzoek; Université de Sherbrooke; Oregon State University; Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; New Mexico State University; National Research Foundation; McKnight Foundation; Grantová Agentura České Republiky; Universidade de Aveiro; Australian Biological Resources Study; Tel Aviv University; Pew Charitable Trusts; University of Technology Sydney; National Institute of Ecology; Environmental Studies Research Funds; Belgian Federal Science Policy Office; National Science Foundation; U.S. Department of Agriculture; Academia Sinica; Division of Graduate Education; ArcticNet; Smithsonian Institution","keywords":"Biodiversity; Series (stratigraphy); Geography; Ecology; Database; Environmental resource management; Environmental science; Biology; Computer science; Paleontology","score_opus":0.005638751973117583,"score_gpt":0.20981264839547803,"score_spread":0.20417389642236045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410416531","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":[0.992521,0.0002092456,0.000007246342,0.0004216294,0.000061468636,0.000074655276,0.0008438261,0.000020292042,0.005840622],"genre_scores_gemma":[0.99921644,0.00025016422,0.00012027966,0.00030024454,0.000002365865,0.000001836837,0.00007346627,6.033406e-7,0.000034602734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995294,0.000019505735,0.00008181657,0.00018307261,0.000041944248,0.00014423027],"domain_scores_gemma":[0.99982303,0.00001394777,0.000037675803,0.00007527744,0.0000056140507,0.00004442252],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008786977,0.00007163178,0.00010493091,0.00003718334,0.00015653156,0.000011877124,0.0000658522,0.000067037385,0.0027349442],"category_scores_gemma":[0.000013782045,0.00006554868,0.00003074901,0.00032523467,0.0005952696,0.000102216836,0.00031829227,0.000029470883,0.000042384057],"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":[0.00003385949,0.000032285858,0.9918729,0.000014643094,0.00001643005,0.0000022816027,0.000011513947,4.2174285e-8,0.003799173,0.00064626214,0.0028983483,0.00067224476],"study_design_scores_gemma":[0.00027393762,0.00006762223,0.99553955,0.0000048165657,0.00002983139,0.00000560769,0.00034107754,0.0000045433426,0.00093392393,0.0001908182,0.002538755,0.00006952926],"about_ca_topic_score_codex":0.00039725608,"about_ca_topic_score_gemma":0.0002938872,"teacher_disagreement_score":0.006695422,"about_ca_system_score_codex":0.000034033204,"about_ca_system_score_gemma":0.0000035847772,"threshold_uncertainty_score":0.9981767},"labels":[],"label_agreement":null},{"id":"W4410522203","doi":"10.1111/geb.70063","title":"Wetland Restoration Is Effective but Insufficient to Compensate for Soil Organic Carbon Losses From Degradation","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Chinese Academy of Sciences","keywords":"Wetland; Environmental science; Soil carbon; Ecology; Degradation (telecommunications); Restoration ecology; Agroforestry; Soil science; Biology; Soil water","score_opus":0.0035335766163707262,"score_gpt":0.20828042776793457,"score_spread":0.20474685115156385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410522203","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":[0.99612665,0.000059534646,0.000891383,0.0005879881,0.00037920746,0.00069097197,0.0003733965,0.00003357568,0.0008572774],"genre_scores_gemma":[0.998992,0.000020172178,0.00022672808,0.00055207504,0.00001611516,0.000059237344,0.000101439524,0.000003371706,0.000028818558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991372,0.000051240106,0.00016277621,0.00036187048,0.00007668645,0.00021021937],"domain_scores_gemma":[0.9996385,0.00008653681,0.00005754268,0.00013330155,0.000018657334,0.00006549315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012961273,0.00012913342,0.00016516936,0.000065789536,0.00018002994,0.000032737,0.00009923389,0.00012228295,0.000033453416],"category_scores_gemma":[0.000032393422,0.0001176722,0.00004805591,0.00049673236,0.000087523564,0.00005104936,0.00015568214,0.000043696375,0.000022401846],"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":[0.0001385772,0.00007297891,0.99332947,0.000011715446,0.00004120561,0.0000012108592,0.00004924135,0.00009378434,0.0027541409,0.00012069205,0.00057458325,0.0028124307],"study_design_scores_gemma":[0.00054708467,0.0003436927,0.9908114,0.000014218126,0.000054090728,0.0000018426405,0.00007804479,0.0033708042,0.0008001631,0.002368491,0.0014693491,0.00014079078],"about_ca_topic_score_codex":0.004141213,"about_ca_topic_score_gemma":0.06613639,"teacher_disagreement_score":0.06199518,"about_ca_system_score_codex":0.0001291707,"about_ca_system_score_gemma":0.000011973973,"threshold_uncertainty_score":0.9509042},"labels":[],"label_agreement":null},{"id":"W4410924638","doi":"10.1111/geb.70066","title":"Evolutionarily Distinct Species and Their Partners Have Fewer Links in Ecological Networks","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":2,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Biology; Nestedness; Ecological network; Geography; Biodiversity; Ecosystem","score_opus":0.015864740660918135,"score_gpt":0.21496820617386053,"score_spread":0.1991034655129424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410924638","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":[0.98981863,0.002442573,0.0000014474665,0.0025119314,0.00008984609,0.000120364115,0.00011772908,0.000032892844,0.0048645833],"genre_scores_gemma":[0.99839723,0.0007466556,0.00000974967,0.00068558357,0.00006322197,0.000013741997,0.000028184953,1.742223e-7,0.000055478013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915946,0.000058930924,0.00014811943,0.0002920115,0.000033761924,0.00030772024],"domain_scores_gemma":[0.9996848,0.00019120604,0.000035148507,0.000014410284,0.000022660646,0.000051762938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013257291,0.00014580257,0.00022302015,0.000019366464,0.00029783513,0.000031623127,0.00009198774,0.00029176346,0.000039395636],"category_scores_gemma":[0.000030251362,0.000053653563,0.00006661932,0.000352475,0.00042444814,0.00003364917,0.00016136417,0.00015615331,0.000001498558],"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":[0.000056462,0.000059696184,0.9921056,0.0000021035573,0.00002754046,0.000006495816,0.000008236293,9.1294095e-7,0.00008074604,0.002527178,0.0013132464,0.0038118022],"study_design_scores_gemma":[0.00015355006,0.00017811403,0.9755936,0.000008751763,0.000009202546,0.0000051475226,0.00026443388,0.000071957336,0.0000025634429,0.0035142524,0.020086326,0.0001120578],"about_ca_topic_score_codex":0.000105400715,"about_ca_topic_score_gemma":0.021314861,"teacher_disagreement_score":0.02120946,"about_ca_system_score_codex":0.000013045099,"about_ca_system_score_gemma":0.0000037812226,"threshold_uncertainty_score":0.9965436},"labels":[],"label_agreement":null},{"id":"W4411161199","doi":"10.1111/geb.70074","title":"Arctic Migrations Shape Global Meta‐Communities: Contrasting Insights From Species Occurrence, Abundance and Biomass","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université de Sherbrooke; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Nunavut Wildlife Management Board; Environment and Climate Change Canada; Natural Resources Canada; Indigenous and Northern Affairs Canada; Government of Canada; Canada First Research Excellence Fund; Canada Research Chairs; Université Laval; Polar Knowledge Canada; ArcticNet; Parks Canada; Garfield Weston Foundation; Université du Québec à Rimouski","keywords":"Abundance (ecology); Biomass (ecology); Ecology; Temperate climate; Arctic; Community structure; Relative species abundance; Geography; Taxon; Biology","score_opus":0.019820359780690786,"score_gpt":0.24332414997288315,"score_spread":0.22350379019219235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411161199","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":[0.97822154,0.004133648,0.000038171424,0.0008105792,0.00024581648,0.00014984432,0.0027787387,0.00005391497,0.013567748],"genre_scores_gemma":[0.99795765,0.00065462873,0.00007819217,0.0010141095,0.000009621796,0.000027677926,0.0002439005,0.0000011864398,0.0000130519065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909073,0.00008236518,0.00019616603,0.00027375878,0.000094153416,0.00026280584],"domain_scores_gemma":[0.9995613,0.00011005516,0.000069307156,0.0001493613,0.000019963132,0.00009003135],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000064460546,0.00018005897,0.00024566395,0.000037500868,0.00049995445,0.000084129104,0.00017444238,0.00012620006,0.0050895284],"category_scores_gemma":[0.000026662743,0.00015314334,0.00009990057,0.00071841705,0.0011608409,0.0001357728,0.0002431307,0.00007972056,0.000039040664],"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":[0.000019049749,0.00007519813,0.9879951,0.000008167706,0.00023708024,0.000003031886,0.00005289272,2.5700558e-7,0.0000852231,0.00847908,0.002555122,0.0004897988],"study_design_scores_gemma":[0.00036719436,0.000047336973,0.9672978,0.000008703634,0.00025541784,0.000005147735,0.0018357651,0.000040381885,0.000019890302,0.0053895637,0.024588324,0.00014446041],"about_ca_topic_score_codex":0.0027477879,"about_ca_topic_score_gemma":0.024445297,"teacher_disagreement_score":0.022033203,"about_ca_system_score_codex":0.000111502224,"about_ca_system_score_gemma":0.000010204978,"threshold_uncertainty_score":0.9958199},"labels":[],"label_agreement":null},{"id":"W4411161374","doi":"10.1111/geb.70064","title":"<scp>EcoregionsTreeFinder</scp>—A Global Dataset Documenting the Abundance of Observations of &gt; 45,000 Tree Species in 828 Terrestrial Ecoregions","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","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":"Darwin Initiative","keywords":"Ecoregion; Biodiversity; Abundance (ecology); Global biodiversity; Geography; Ecology; Taxon; Biology","score_opus":0.020383009266346605,"score_gpt":0.2494790553543311,"score_spread":0.2290960460879845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411161374","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":[0.9712087,0.0002309447,0.000013888813,0.0011031571,0.00026513424,0.00023365536,0.008138475,0.000014721597,0.018791316],"genre_scores_gemma":[0.9982575,0.00036986364,0.00005955919,0.00034939052,0.000014168449,0.000020412726,0.00087626226,0.0000017853049,0.00005103556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988111,0.0000680939,0.0003783165,0.00028635166,0.00014099611,0.00031509183],"domain_scores_gemma":[0.9993258,0.00015087251,0.00019119338,0.00026792003,0.000013128341,0.000051090152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019231682,0.00014795097,0.00023017266,0.000054993903,0.0001960297,0.000030381665,0.00036503846,0.0001347397,0.0005922054],"category_scores_gemma":[0.00011804975,0.0001176527,0.000107613916,0.0014534906,0.0013316422,0.0001423169,0.00030835724,0.00008901852,0.000014239795],"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":[0.00001606426,0.0001482751,0.93566865,0.000007546866,0.00003405239,0.0000018865622,0.000021261021,0.000005882661,0.00008532136,0.012911989,0.05062449,0.00047459026],"study_design_scores_gemma":[0.00058381225,0.000052804862,0.9186465,0.000014254967,0.00003544602,0.000004122919,0.00093021605,0.000016290685,0.000032765507,0.0023788232,0.07725853,0.000046415913],"about_ca_topic_score_codex":0.0010854127,"about_ca_topic_score_gemma":0.020095794,"teacher_disagreement_score":0.027048815,"about_ca_system_score_codex":0.00011265861,"about_ca_system_score_gemma":0.000022552207,"threshold_uncertainty_score":0.9977849},"labels":[],"label_agreement":null},{"id":"W4411981232","doi":"10.1111/geb.70083","title":"A Global Regionalisation of Tree Functional Capacity","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Regionalisation; Ecology; Geography; Tree (set theory); Biology; Economic geography; Mathematics","score_opus":0.009691798248693758,"score_gpt":0.19061597216068624,"score_spread":0.18092417391199248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411981232","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":[0.9745223,0.00005423232,0.00023029695,0.0015415908,0.0001619329,0.00010125834,0.00006176619,0.000017037986,0.023309564],"genre_scores_gemma":[0.9987017,0.000025780178,0.0002603567,0.000910998,0.000008071788,0.0000032279495,0.000019474724,3.9565705e-7,0.000069998314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946237,0.000037528705,0.000106478394,0.00018528046,0.000097129014,0.000111227055],"domain_scores_gemma":[0.9998095,0.0000154169,0.00004938335,0.000081715945,0.0000130911385,0.00003086864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108363405,0.00006874311,0.00008355835,0.00003633806,0.00015890574,0.0000067426317,0.000080629194,0.00007776289,0.00020610551],"category_scores_gemma":[0.000011161487,0.00006229681,0.00006481485,0.00055221585,0.00049421994,0.000040667135,0.00014769321,0.000022306413,0.000011057544],"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":[0.00004023882,0.000067891306,0.9896576,0.000006828035,0.000044566023,6.8008796e-7,0.00001029752,0.000027041608,0.000012204899,0.002711646,0.004925875,0.0024951566],"study_design_scores_gemma":[0.00030943428,0.000038975828,0.975478,0.0000028272823,0.00003945029,0.000001921679,0.00006766094,0.000037847993,0.000005056138,0.009374025,0.014592079,0.000052750427],"about_ca_topic_score_codex":0.0010852366,"about_ca_topic_score_gemma":0.0032186143,"teacher_disagreement_score":0.024179377,"about_ca_system_score_codex":0.000058294598,"about_ca_system_score_gemma":0.0000075753883,"threshold_uncertainty_score":0.25403902},"labels":[],"label_agreement":null},{"id":"W4413272305","doi":"10.1111/geb.70087","title":"Traits, Threats, and Popularity Explain Extinction Risk of Birds Globally","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Biodome","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"IUCN Red List; Threatened species; Extinction (optical mineralogy); Popularity; Ecology; Vulnerability (computing); Conservation-dependent species; Biodiversity; Geography; Biology; Near-threatened species; Environmental resource management; Habitat; Environmental science","score_opus":0.010963016181569907,"score_gpt":0.28462003720946516,"score_spread":0.27365702102789524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413272305","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":[0.9826452,0.0036011427,0.00013949715,0.0006326474,0.0007244898,0.00014580924,0.00027823998,0.000032904598,0.011800046],"genre_scores_gemma":[0.99856967,0.00072865444,0.0002798166,0.0002979174,0.000029765664,0.000010230988,0.000021222464,0.0000013075284,0.00006139113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990872,0.00013601832,0.00018859757,0.00031462853,0.00006124281,0.00021231014],"domain_scores_gemma":[0.99964654,0.00006209668,0.00009992144,0.00009240276,0.000039487804,0.000059552855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037414412,0.00011069954,0.00017436148,0.00012014639,0.00018449701,0.000014540093,0.00010275517,0.00021973815,0.000114444156],"category_scores_gemma":[0.000023746445,0.0000942633,0.000057576024,0.00056743686,0.000338016,0.000061083,0.000041756786,0.00009133828,0.0000065494364],"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":[0.00012962407,0.00011865725,0.9062387,0.000009882344,0.00007319137,0.0000017644082,0.00007465314,1.2572866e-7,0.000037344966,0.05125743,0.0013843951,0.04067425],"study_design_scores_gemma":[0.00032271034,0.0002217044,0.9621137,0.0000072225057,0.00007695698,0.000026557012,0.000522964,0.000004610772,0.0000082136685,0.0336129,0.0030023702,0.00008009141],"about_ca_topic_score_codex":0.0009841234,"about_ca_topic_score_gemma":0.0013532407,"teacher_disagreement_score":0.055875022,"about_ca_system_score_codex":0.000009825409,"about_ca_system_score_gemma":0.000027515965,"threshold_uncertainty_score":0.3843946},"labels":[],"label_agreement":null},{"id":"W4413882241","doi":"10.1111/geb.70110","title":"Indirect Effects of Temperature Drive Gradients in Fish Food Web Properties","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Northern Studies; Université de Sherbrooke","funders":"H2020 European Research Council; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; European Commission","keywords":"Food web; Fish <Actinopterygii>; Ecology; Biology; Fishery; Environmental science; Geography; Ecosystem","score_opus":0.008359042459836371,"score_gpt":0.20284484580566414,"score_spread":0.19448580334582777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413882241","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":[0.9967593,0.0009509901,7.4286595e-9,0.0010346115,0.00019307365,0.00024676442,0.000102435726,0.000023083183,0.00068973145],"genre_scores_gemma":[0.9991758,0.00017491184,0.0000067291867,0.000569734,0.000026074931,0.000014480464,0.000017133458,1.9317228e-7,0.000014979405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991732,0.000128228,0.0001666251,0.00026481904,0.000057632915,0.00020948007],"domain_scores_gemma":[0.9997861,0.00005917716,0.000045853518,0.00003545124,0.000036944428,0.000036516787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001503108,0.00011296753,0.00022883549,0.00003091039,0.0000981754,0.000014364158,0.00012464258,0.00016820671,0.0000098779055],"category_scores_gemma":[0.00006335538,0.0000437112,0.00007638211,0.00079449406,0.0001905757,0.000045385423,0.00007069541,0.00009035556,9.0080215e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062112165,0.00014453556,0.95032644,0.000059908787,0.000038257236,0.0000023208597,0.000017803934,4.036938e-8,0.045091398,0.00075232727,0.00037005983,0.003134819],"study_design_scores_gemma":[0.00023219189,0.0005543678,0.9851354,0.000051169645,0.000014503805,0.000001299245,0.000057066005,6.0979335e-7,0.010813045,0.0022215585,0.0008321127,0.00008667264],"about_ca_topic_score_codex":0.00009341942,"about_ca_topic_score_gemma":0.007804074,"teacher_disagreement_score":0.03480899,"about_ca_system_score_codex":0.000007587277,"about_ca_system_score_gemma":0.00000901855,"threshold_uncertainty_score":0.43548563},"labels":[],"label_agreement":null},{"id":"W4414299458","doi":"10.1111/geb.70124","title":"Looks Can Be Deceiving: Morphological Traits Are Weakly Associated With the Isotopic Niches of Freshwater Fishes","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Centre National de la Recherche Scientifique; Fondation pour la Recherche sur la Biodiversite","keywords":"Trophic level; Foraging; Omnivore; Ecological niche; Allometry; Niche; Taxon; Ecomorphology; Herbivore","score_opus":0.005567038089250869,"score_gpt":0.1999844816201533,"score_spread":0.19441744353090243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414299458","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":[0.9897549,0.00007884291,0.0000071775326,0.0058249664,0.000056572517,0.00018244401,0.00008842091,0.000024033476,0.0039826347],"genre_scores_gemma":[0.9959335,0.000026665295,0.00010725328,0.0037434374,0.0000059839767,0.000027799353,0.000011835837,0.000002621278,0.00014091514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884015,0.00018158452,0.00019713036,0.00033584307,0.00010909078,0.00033620425],"domain_scores_gemma":[0.9994764,0.00016175919,0.00013423232,0.00016457924,0.000018940587,0.00004409344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024482454,0.0001554592,0.0002916496,0.00005219606,0.00021566286,0.0000149886055,0.0003252074,0.00022820797,0.00058702024],"category_scores_gemma":[0.000075761716,0.000092191534,0.000102378726,0.00060947944,0.0014654745,0.000037033835,0.00021875702,0.00013432093,0.0000045182355],"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":[0.000025140966,0.00011381877,0.9921588,0.0000025982606,0.00018759564,0.000019341456,0.000040438084,0.000023555147,0.00021935678,0.00022114185,0.0065287496,0.00045949503],"study_design_scores_gemma":[0.0003055345,0.00020185247,0.99404055,0.0000062977065,0.00013003813,0.000009362264,0.00017128223,0.000027619983,0.00025507924,0.00155811,0.003190719,0.00010355009],"about_ca_topic_score_codex":0.00035844714,"about_ca_topic_score_gemma":0.091553494,"teacher_disagreement_score":0.09119505,"about_ca_system_score_codex":0.00004505091,"about_ca_system_score_gemma":0.000013717786,"threshold_uncertainty_score":0.92502326},"labels":[],"label_agreement":null},{"id":"W4414325088","doi":"10.1111/geb.70120","title":"Introducing <scp>FAMM</scp> : An Open‐Access Database of Fossil Arctic Marine Mammals","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; McGill University; Dalhousie University","funders":"Australian Research Council; Villum Fonden","keywords":"Arctic; Marine mammal; Marine conservation; Climate change; Biodiversity; Arctic ecology; Beluga Whale; Radiocarbon dating; Subfossil","score_opus":0.009142800489363589,"score_gpt":0.28254196242075597,"score_spread":0.27339916193139235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414325088","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":[0.97541165,0.00013985555,0.0001114526,0.000445781,0.00028088936,0.00032605964,0.00007145942,0.00002469855,0.023188151],"genre_scores_gemma":[0.99572694,0.00019173026,0.0024721748,0.0013056283,0.000024987608,0.00003819016,0.000060131762,0.000004509028,0.00017568987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981836,0.0002280244,0.00036985776,0.0006709031,0.00011140321,0.00043617666],"domain_scores_gemma":[0.9989815,0.00015915898,0.0001717093,0.00055016746,0.000029102315,0.000108413165],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071363844,0.00018574303,0.00038471466,0.00017168403,0.00023701027,0.000092194045,0.0013099951,0.00016071764,0.0009503539],"category_scores_gemma":[0.00024615697,0.00017134135,0.000075570584,0.001459909,0.00081299903,0.0006194844,0.0040091895,0.00013568538,0.0000340964],"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":[0.000023491519,0.000276403,0.9880072,0.000022645136,0.00012248088,0.000014977724,0.000013976819,0.000075528245,0.00045846173,0.002323811,0.0030663481,0.0055946964],"study_design_scores_gemma":[0.00048148655,0.00020359285,0.98087895,0.000008361412,0.00014083865,0.000013091611,0.0000749781,0.00011950724,0.00045087864,0.011347575,0.006206508,0.00007423462],"about_ca_topic_score_codex":0.004355413,"about_ca_topic_score_gemma":0.020282052,"teacher_disagreement_score":0.023012461,"about_ca_system_score_codex":0.00006457022,"about_ca_system_score_gemma":0.00003017485,"threshold_uncertainty_score":0.9999629},"labels":[],"label_agreement":null},{"id":"W4414354489","doi":"10.1111/geb.70121","title":"Higher Sensitivity of Deep Soil Root Productivity to Precipitation Changes","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant responses to water stress","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":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Precipitation; Productivity; Ecosystem; Abiotic component; Vegetation (pathology); Soil water; Primary production","score_opus":0.006838297466051139,"score_gpt":0.21310949258236747,"score_spread":0.20627119511631634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414354489","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":[0.9924119,0.00013495557,0.0000047038698,0.006199234,0.00023663623,0.00019392183,0.000248881,0.000033617765,0.00053612515],"genre_scores_gemma":[0.9995444,0.000013463468,0.000044279088,0.00025769568,0.000040573294,0.000013931989,0.000035127712,1.6785282e-7,0.000050382507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917984,0.00019490326,0.000093771865,0.00027269695,0.00006213128,0.0001966607],"domain_scores_gemma":[0.9996489,0.00015324916,0.00004464618,0.000042501855,0.000061054525,0.000049592425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024612647,0.00009826833,0.00016339657,0.00003195376,0.00009809055,0.00001387798,0.000073298455,0.00011154005,0.000018115472],"category_scores_gemma":[0.000047016918,0.000042574247,0.000044843924,0.0005957382,0.00011149003,0.000040243158,0.0000964865,0.000040642615,0.00000305134],"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":[0.00022334512,0.000096505624,0.83914834,0.000011708983,0.000039545263,0.0000044162625,0.000013169046,0.0000027397825,0.055523597,0.00047038702,0.00029656637,0.10416965],"study_design_scores_gemma":[0.00007087585,0.00021760436,0.98727983,0.000008393935,0.000017922193,0.0000044693393,0.000015154169,0.0000048871852,0.007094758,0.000820117,0.0043859417,0.00008002286],"about_ca_topic_score_codex":0.0006218101,"about_ca_topic_score_gemma":0.08595902,"teacher_disagreement_score":0.14813149,"about_ca_system_score_codex":0.0000091482025,"about_ca_system_score_gemma":0.000004143609,"threshold_uncertainty_score":0.93071985},"labels":[],"label_agreement":null},{"id":"W4416063356","doi":"10.1111/geb.70149","title":"<scp>FishSounds</scp> Versions 2 and 3: Achieving the Largest Global Database of Fish Sound Production","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Technical University of Nova Scotia; Dalhousie University; Simon Fraser University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; Mitacs","keywords":"Sound (geography); Fish <Actinopterygii>; Metadata; Sound production; Diversity of fish; Production (economics); Limiting","score_opus":0.007355527957187163,"score_gpt":0.22900026462384426,"score_spread":0.2216447366666571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416063356","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":[0.97875,0.0009070023,0.0000067897863,0.0018971649,0.00023150949,0.00022681536,0.00020413387,0.000020608994,0.01775599],"genre_scores_gemma":[0.9968001,0.0014626842,0.00013327636,0.0015116537,0.00002023472,0.000011283309,0.000016698603,0.0000016363207,0.0000424373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990788,0.00007448045,0.00015634416,0.0003420143,0.0001023292,0.00024601456],"domain_scores_gemma":[0.9995832,0.00008931873,0.00007396915,0.00019051509,0.000013297118,0.000049686536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027335636,0.0001263929,0.00016043786,0.00002036641,0.00044330323,0.000020415975,0.00017221172,0.000075696764,0.000047785677],"category_scores_gemma":[0.00018354779,0.00009405344,0.000057933186,0.00073017523,0.0007981516,0.000115147035,0.0008882818,0.000082580715,0.0000075073463],"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":[0.000008881595,0.00006778029,0.9725023,0.000025749863,0.00006159345,0.0000016908667,0.000013182007,0.000001638104,0.000018744095,0.0014677197,0.02436964,0.0014610692],"study_design_scores_gemma":[0.00017361903,0.00007441314,0.93224174,0.000010819112,0.000082263454,0.000012164253,0.00018108443,0.0000042689685,0.000006777159,0.0021773134,0.06499818,0.00003736058],"about_ca_topic_score_codex":0.0016600185,"about_ca_topic_score_gemma":0.015919395,"teacher_disagreement_score":0.040628538,"about_ca_system_score_codex":0.000039322644,"about_ca_system_score_gemma":0.000008243439,"threshold_uncertainty_score":0.88833964},"labels":[],"label_agreement":null},{"id":"W4416209389","doi":"10.1111/geb.70150","title":"Environmental Filtering Drives Widespread Trait Convergence in Marine Demersal Ray‐Finned Fishes","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ichthyology and Marine Biology","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":"Dalhousie University","funders":"Bundesamt für Naturschutz; European Commission","keywords":"Demersal zone; Trait; Demersal fish; Fishing; Biodiversity; Trophic level; Ecosystem; Taxon; Marine ecosystem","score_opus":0.002832813746717552,"score_gpt":0.19370450364379194,"score_spread":0.1908716898970744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416209389","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":[0.99135655,0.00011864197,0.000019947502,0.00069276616,0.00042655232,0.00017293094,0.0000419265,0.000030544536,0.007140161],"genre_scores_gemma":[0.9977618,0.00020426158,0.00060796284,0.0012853871,0.00001082334,0.000027526865,0.00003521146,0.0000026497626,0.00006439852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879336,0.00010149944,0.00022472485,0.00043253522,0.00004765509,0.00040019696],"domain_scores_gemma":[0.99969286,0.00006709196,0.000042574044,0.0001339103,0.000001550686,0.000062031206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015513865,0.00017922396,0.00022132625,0.0000777724,0.000136687,0.0000073642177,0.0002083402,0.00024997024,0.0025658265],"category_scores_gemma":[0.000021957008,0.00016977743,0.000069566304,0.0002945248,0.0010373503,0.00009216527,0.0005693868,0.00012921261,0.000066363944],"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":[0.00011643122,0.00010073935,0.98549527,0.000003994324,0.00004972588,0.000023369801,0.000022570954,0.000013104472,0.002131388,0.0006005553,0.00061534287,0.010827481],"study_design_scores_gemma":[0.0005833377,0.0001585067,0.98888123,0.0000035775042,0.000029055893,0.000016099017,0.000054995908,0.00004258495,0.00029857823,0.004048475,0.0057270746,0.00015647823],"about_ca_topic_score_codex":0.00079627376,"about_ca_topic_score_gemma":0.004356219,"teacher_disagreement_score":0.010671003,"about_ca_system_score_codex":0.000043771615,"about_ca_system_score_gemma":0.000008058717,"threshold_uncertainty_score":0.998346},"labels":[],"label_agreement":null},{"id":"W4416453696","doi":"10.1111/geb.70163","title":"Intraspecific Variation in Thermal Performance Suggests the Presence of Range‐Edge Divergence and Phenotypic Compensation of Northern Individuals in an Introduced Species","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; Canada Foundation for Innovation","keywords":"Intraspecific competition; Acclimatization; Range (aeronautics); Ectotherm; Local adaptation; Latitude; Divergence (linguistics); Adaptation (eye); Phenotypic plasticity","score_opus":0.0071589808396397316,"score_gpt":0.19320247265911566,"score_spread":0.18604349181947594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416453696","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":[0.99808687,0.00032244518,0.0000027066792,0.00016428127,0.000114134964,0.00016381737,0.000097958036,0.0000037123882,0.001044067],"genre_scores_gemma":[0.999583,0.00027180975,0.00002894101,0.000045484245,0.000012235735,0.0000013870505,0.00005202464,3.6258186e-7,0.000004749998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928117,0.00014541551,0.00021519134,0.00016914707,0.000053759533,0.00013531897],"domain_scores_gemma":[0.9996539,0.00012952583,0.000085023894,0.00008429801,0.000030279936,0.000016978775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033019218,0.00007442214,0.00016065512,0.00012548218,0.000051905896,0.000008146812,0.00012372046,0.00007865822,0.00006698609],"category_scores_gemma":[0.00002296893,0.000051898736,0.000014933459,0.0004595685,0.00028891765,0.00010046123,0.000035040382,0.00007148754,7.026811e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011775853,0.000028126628,0.97327816,0.00002086843,0.000010872151,6.4614005e-7,0.00020717908,0.000118821205,0.00021342468,0.00045010392,0.0000033948168,0.02555062],"study_design_scores_gemma":[0.00025946277,0.00018176182,0.99788725,0.000010100282,0.000007901038,0.0000016439272,0.00015991884,0.0004796261,0.000053152646,0.000880154,0.000029782092,0.000049221915],"about_ca_topic_score_codex":0.0038468223,"about_ca_topic_score_gemma":0.13088508,"teacher_disagreement_score":0.12703826,"about_ca_system_score_codex":0.0000017461946,"about_ca_system_score_gemma":0.00002229455,"threshold_uncertainty_score":0.884974},"labels":[],"label_agreement":null},{"id":"W7106505084","doi":"10.1111/geb.70159","title":"Here, There and Everywhere: Widespread Non‐Native Plants in the World's Urban Ecosystems","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Akademie Věd České Republiky; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Toronto; Grantová Agentura České Republiky; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Deutsche Forschungsgemeinschaft; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Natural Sciences and Engineering Research Council of Canada; European Commission; University of Toronto Scarborough; NextGenerationEU; National Science Foundation","keywords":"Urban ecology; Taxon; Urban ecosystem; Ordination; Temperate climate; Ecosystem; Introduced species; Species richness; Vascular plant","score_opus":0.005403103270518774,"score_gpt":0.23317508571068912,"score_spread":0.22777198244017036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106505084","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":[0.9700097,0.0012397855,0.000003409931,0.0016826954,0.00014727247,0.00033843314,0.000061117615,0.000013558222,0.02650403],"genre_scores_gemma":[0.99726146,0.00024898787,0.000039160463,0.0021911748,0.000015506814,0.000026399795,0.000006042196,0.0000021723502,0.00020911082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990209,0.0001347872,0.00015388751,0.00029881464,0.00008707487,0.00030458093],"domain_scores_gemma":[0.9996225,0.00012184823,0.00005346995,0.0001430564,0.0000037108389,0.00005539104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031489716,0.00013457928,0.00017812497,0.000074534575,0.00019136311,0.000027073116,0.00017816447,0.00011339331,0.00010381565],"category_scores_gemma":[0.0000062256727,0.00009189054,0.00003719628,0.00063604227,0.00032940533,0.000080305756,0.00011148668,0.0001345802,0.000026348831],"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":[0.000038416252,0.00005574742,0.9769513,0.000010731006,0.000022196033,0.000014083983,0.00011546845,6.4162947e-7,0.0000070629226,0.00088846456,0.020784419,0.0011114778],"study_design_scores_gemma":[0.00042909972,0.00010061732,0.9806437,0.000025739022,0.000013276946,0.000008776849,0.00061615,0.000024691055,0.0000041323083,0.0032193023,0.014820436,0.00009408235],"about_ca_topic_score_codex":0.005290947,"about_ca_topic_score_gemma":0.23702383,"teacher_disagreement_score":0.23173289,"about_ca_system_score_codex":0.000042008684,"about_ca_system_score_gemma":0.000013762419,"threshold_uncertainty_score":0.79983646},"labels":[],"label_agreement":null}]}