{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007848545,0.0009956178,0.001832319,0.1735217,0.001438082,0.004994195,0.00100387,0.000579478,0.005506529],"category_scores_gemma":[0.04482886,0.0002926172,0.002154852,0.2368946,0.000907162,0.003642187,0.002228885,0.0007114832,0.0009465854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002852479,"about_ca_system_score_gemma":0.003720866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006960858,"about_ca_topic_score_gemma":0.005660343,"domain_scores_codex":[0.9783502,0.00317444,0.004664085,0.001428722,0.01178073,0.0006018706],"domain_scores_gemma":[0.9682357,0.01519864,0.005921037,0.001899009,0.008201768,0.0005438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000289066,0.0002975196,0.4489599,0.0164072,0.004208133,0.0006509192,0.004093915,0.007135204,0.002657301,0.01883249,0.04014522,0.4563231],"study_design_scores_gemma":[0.0001186902,0.0002648873,0.826838,0.001750069,0.00263173,0.001340817,0.005933797,0.02605725,0.003813299,0.02284431,0.108053,0.0003540769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5588945,0.03761569,0.04921762,0.003353222,0.001077609,0.003345314,0.221687,0.004087237,0.1207218],"genre_scores_gemma":[0.8939759,0.01095697,0.02462603,0.0001388769,0.0006170326,0.002389096,0.06320961,0.0001974308,0.00388917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8264782,"threshold_uncertainty_score":0.0415076,"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."}}