{"meta":{"query_hash":"cb7914c7825a","filters":{"venue":"Evidence in Earth Science"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/cb7914c7825a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Evidence+in+Earth+Science"},"results":[{"id":"W4413308726","doi":"10.63221/eies.v1i03.145-167","title":"Research Progress on Estimation Methods of Forest Evapotranspiration Based on Bibliometrics","year":2025,"lang":"en","type":"article","venue":"Evidence in Earth Science","topic":"Plant Water Relations and Carbon Dynamics","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":"Nipissing University","funders":"Inner Mongolia Agricultural University; National Natural Science Foundation of China","keywords":"Evapotranspiration; Bibliometrics; Estimation; Environmental science; Geography; Forestry; Computer science; Ecology; Data mining; Biology; Engineering","score_opus":0.09614820504619609,"score_gpt":0.4396290534733084,"score_spread":0.3434808484271123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413308726","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2583313,0.22516598,0.27754653,0.009174289,0.0026425882,0.0010419752,0.0767364,0.0060401307,0.14332081],"genre_scores_gemma":[0.758426,0.112518005,0.075674266,0.00058595126,0.0030545914,0.00083145086,0.039468966,0.00039714348,0.009043678],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99021566,0.0023534633,0.0013328809,0.0017963442,0.0039565032,0.00034511453],"domain_scores_gemma":[0.97677124,0.014084316,0.00289303,0.0015746151,0.004404107,0.00027261203],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006538134,0.0014737148,0.0014332006,0.053624693,0.0007542547,0.006011235,0.0013017736,0.0009608196,0.0053450963],"category_scores_gemma":[0.03499441,0.00033387094,0.001754871,0.06136716,0.0007055881,0.0060366313,0.0013032729,0.00066665147,0.0027188861],"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":[0.00012726174,0.0001584091,0.09646592,0.0068811784,0.0010307863,0.00017119289,0.0006884513,0.006361416,0.001281075,0.011592542,0.023937386,0.8513044],"study_design_scores_gemma":[0.00013674854,0.00027227614,0.4201699,0.0056475336,0.0032468578,0.0012147157,0.004678959,0.13414773,0.009262171,0.053883463,0.36674815,0.0005914631],"about_ca_topic_score_codex":0.007970662,"about_ca_topic_score_gemma":0.004701863,"teacher_disagreement_score":0.9463753,"about_ca_system_score_codex":0.001417649,"about_ca_system_score_gemma":0.002850582,"threshold_uncertainty_score":0.03457737},"labels":[],"label_agreement":null}]}