{"id":"W2379680537","doi":"","title":"Bibliometrical Analysis of Soil Respiration Based on Bibliometric","year":2013,"lang":"en","type":"article","venue":"Xi'nan nongye xuebao","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soil respiration; Environmental science; Biomass (ecology); Respiration; Carbon cycle; Soil carbon; Soil science; Agronomy; Ecosystem; Ecology; Soil water; Biology; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0004708802,0.0001821121,0.0003809724,0.03214676,0.0001022113,0.0001392627,0.0003276191,0.0001720128,0.001601553],"category_scores_gemma":[0.0003824131,0.00007469633,0.0003597498,0.3588288,0.00006434997,0.0001792209,0.00004815716,0.0001344803,0.0001403943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000422931,"about_ca_system_score_gemma":0.00001510931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807946,"about_ca_topic_score_gemma":0.0007109869,"domain_scores_codex":[0.9980513,0.0001260915,0.0004029406,0.0003761903,0.0007025502,0.0003409499],"domain_scores_gemma":[0.9985201,0.000651911,0.0001883107,0.0001648361,0.0002859132,0.000188945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001093453,0.0009819578,0.6467301,0.0000184898,0.0003734832,0.000008512978,0.00002562689,0.003521924,0.0807691,0.000317524,0.004433534,0.2627104],"study_design_scores_gemma":[0.0001602182,0.0004415708,0.8382953,0.00000565567,0.0001321811,3.544862e-7,0.0000203968,0.1576744,0.002489377,0.0000592807,0.0005478193,0.0001735137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957414,0.00008320707,0.00003196426,0.0005830903,0.00009175643,0.0001854495,0.0000423846,0.00007240217,0.003168401],"genre_scores_gemma":[0.9988114,0.00002997094,0.0001378122,0.0006141098,0.00009206673,0.00002773229,0.00009827774,0.000001927438,0.000186708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.326682,"threshold_uncertainty_score":0.9993111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849242944707739,"score_gpt":0.248652240530321,"score_spread":0.2201598110832436,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}