{"meta":{"query_hash":"ff3bb8cf9e38","filters":{"venue":"Earth Critical Zone"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/ff3bb8cf9e38","api":"https://metacan.xera.ac/api/v1/cohort?venue=Earth+Critical+Zone"},"results":[{"id":"W4409987934","doi":"10.1016/j.ecz.2025.100029","title":"Towards 30×30 biodiversity targets: Potential contributions of ecological restoration based on biodiversity credit","year":2025,"lang":"en","type":"article","venue":"Earth Critical Zone","topic":"Environmental Conservation and Management","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":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Biodiversity; Restoration ecology; Environmental resource management; Ecology; Geography; Environmental science; Business; Biology","score_opus":0.010887711797605889,"score_gpt":0.23313745596225272,"score_spread":0.22224974416464682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409987934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74088216,0.00004514491,0.1463295,0.08064934,0.0010708073,0.0010654819,0.0010603344,0.00020933549,0.028687889],"genre_scores_gemma":[0.9931726,0.0000079364845,0.0013004456,0.0051801046,0.000012134979,0.0000050945114,0.00006854254,0.0000012909118,0.00025184551],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9988861,0.000113011214,0.00017903758,0.0002770028,0.00033427615,0.00021058631],"domain_scores_gemma":[0.9995711,0.000082128616,0.000034037977,0.0001900712,0.000019256635,0.00010343471],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023883666,0.00010751213,0.00014146394,0.000051958606,0.00027874036,0.000020043934,0.00015499932,0.000092320144,0.015148224],"category_scores_gemma":[0.00026418982,0.00010666593,0.00007702725,0.00016892924,0.0005273026,0.000119298646,0.000231761,0.00012678435,0.0015176497],"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":[0.0010625484,0.008601195,0.1987578,0.00018516801,0.00013110739,0.00027403317,0.00018503933,0.013554171,0.026531937,0.042667825,0.70134795,0.006701254],"study_design_scores_gemma":[0.0013483146,0.00044569295,0.90544426,0.00001715661,0.00008713066,3.4137835e-7,0.000106070496,0.004330865,0.006778664,0.0005868309,0.08063343,0.00022122933],"about_ca_topic_score_codex":0.00022275069,"about_ca_topic_score_gemma":0.00003054353,"teacher_disagreement_score":0.7066865,"about_ca_system_score_codex":0.00014074284,"about_ca_system_score_gemma":0.000015073176,"threshold_uncertainty_score":0.99925977},"labels":[],"label_agreement":null},{"id":"W4410552768","doi":"10.1016/j.ecz.2025.100033","title":"Machine learning models predict organic fertilization effects on soil organic carbon stocks in global agroecosystems","year":2025,"lang":"en","type":"article","venue":"Earth Critical Zone","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","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":"University of Alberta","funders":"Science and Technology Department of Zhejiang Province; Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China; Zhejiang Provincial Postdoctoral Science Foundation","keywords":"Agroecosystem; Soil carbon; Environmental science; Agroforestry; Total organic carbon; Human fertilization; Organic farming; Agriculture; Agronomy; Soil science; Ecology; Biology; Soil water","score_opus":0.009049199561191558,"score_gpt":0.21796837169921024,"score_spread":0.2089191721380187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410552768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945516,0.000493854,0.00025770807,0.0011157697,0.00026434753,0.00024255089,0.000014465975,0.0001682543,0.0028914667],"genre_scores_gemma":[0.9990665,0.000025158828,0.000012125475,0.0003861269,0.00011357739,0.000016086475,0.000052760537,0.0000023515472,0.00032534119],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842864,0.0002572933,0.00024651803,0.00038461995,0.00028293635,0.00039996416],"domain_scores_gemma":[0.99928206,0.000418014,0.000028303211,0.000074106865,0.00007150345,0.0001259886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022213456,0.00019552634,0.00027303016,0.000027166949,0.000120127865,0.000062592444,0.00016033453,0.00018534625,0.00008930619],"category_scores_gemma":[0.00039741062,0.000097722426,0.00006797931,0.0007742462,0.000040760096,0.000072282004,0.000076414166,0.00030195244,0.000023237244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001440954,0.0021519372,0.31139547,0.0008015334,0.00020444657,0.0003669177,0.00041433444,0.0067043887,0.50596446,0.045467257,0.00024661326,0.12484168],"study_design_scores_gemma":[0.0010473705,0.0010969624,0.13947773,0.00034273093,0.000058858805,0.000012393523,0.00015436008,0.8458004,0.0077177524,0.0035656316,0.00022950688,0.00049630896],"about_ca_topic_score_codex":0.0005101972,"about_ca_topic_score_gemma":0.009501506,"teacher_disagreement_score":0.839096,"about_ca_system_score_codex":0.00008896041,"about_ca_system_score_gemma":0.000022021764,"threshold_uncertainty_score":0.5302063},"labels":[],"label_agreement":null},{"id":"W4412026402","doi":"10.1016/j.ecz.2025.100035","title":"Global distribution and predictors of the mineral-associated to total soil organic carbon ratio: an indicator of soil carbon stability","year":2025,"lang":"en","type":"article","venue":"Earth Critical Zone","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","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":"University of Guelph","funders":"National Natural Science Foundation of China; University of Sydney","keywords":"Soil carbon; Total organic carbon; Environmental science; Carbon fibers; Soil science; Environmental chemistry; Soil organic matter; Soil water; Chemistry; Mathematics","score_opus":0.006770212869967577,"score_gpt":0.21680036443324754,"score_spread":0.21003015156327998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412026402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980098,0.00005432069,0.00000464854,0.00096201716,0.00017400771,0.0001635633,0.0003762201,0.000028270288,0.00022713291],"genre_scores_gemma":[0.9998067,0.0000034791046,0.000004886561,0.000067306435,0.000039877257,0.0000049931737,0.00005005233,6.9311284e-7,0.00002198114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886584,0.00017176694,0.000269177,0.0002351503,0.0002468871,0.00021119275],"domain_scores_gemma":[0.9994548,0.00015467193,0.000046909503,0.00009224571,0.00012671381,0.00012466851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023051546,0.000110665445,0.0002155502,0.00000654031,0.00006588137,0.000017012606,0.00012561333,0.00012569073,0.000025003274],"category_scores_gemma":[0.0007551618,0.00004837648,0.000060763778,0.0005392359,0.00023242275,0.000033142696,0.000107646854,0.00009130054,2.1812147e-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":[0.000093263094,0.00039289054,0.8268825,0.000028973554,0.0000329796,9.0662434e-7,0.00008609912,0.0000094999905,0.16975778,0.0013073727,0.0000145984895,0.001393164],"study_design_scores_gemma":[0.00015855474,0.0002787883,0.9785547,0.000021518455,0.00004022351,0.0000010047851,0.00014157579,0.0034096246,0.017053567,0.00025105654,0.000005732907,0.00008365182],"about_ca_topic_score_codex":0.0016787675,"about_ca_topic_score_gemma":0.011166186,"teacher_disagreement_score":0.15270422,"about_ca_system_score_codex":0.00004237721,"about_ca_system_score_gemma":0.000040081293,"threshold_uncertainty_score":0.6230994},"labels":[],"label_agreement":null}]}