{"id":"W2361350416","doi":"","title":"The Research Progress of Relationship between Forest Vegetation and Soil Microbes","year":2014,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Vegetation (pathology); Environmental science; Biodiversity; Forest ecology; Ecosystem; Ecology; Microorganism; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00383576,0.00006644001,0.0001144049,0.00008060578,0.001502255,0.00008355736,0.0002510982,0.0001521527,0.000003077117],"category_scores_gemma":[0.001379517,0.00005034077,0.00002830754,0.0002603249,0.001752903,0.0001410758,0.00004443547,0.000247716,0.00003082425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002220353,"about_ca_system_score_gemma":0.0001075414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061648,"about_ca_topic_score_gemma":0.0283023,"domain_scores_codex":[0.998354,0.0006986641,0.0001897173,0.0001573261,0.0002867228,0.0003136255],"domain_scores_gemma":[0.9947036,0.004820392,0.00008688542,0.000162283,0.000156467,0.00007039083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006819949,0.00001072542,0.8752312,0.00002033996,0.000007164586,4.707872e-7,0.003468226,0.000004296769,0.000003731686,0.1175295,0.0008080233,0.002909547],"study_design_scores_gemma":[0.0001337208,0.00008337543,0.9198028,0.0000304918,0.00001047109,7.152539e-7,0.0006935596,0.00005239431,0.00006282404,0.06724474,0.01182126,0.00006369021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787748,0.0004381769,0.00002502348,0.002080489,0.0001569429,0.00021938,0.000004428401,0.00002296363,0.01827783],"genre_scores_gemma":[0.9986448,0.00009379318,0.0001013406,0.00001670936,0.0003069709,0.00001894184,0.00001269813,0.000006947662,0.0007977641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05028472,"threshold_uncertainty_score":0.9997976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07831918012123706,"score_gpt":0.3767469870708747,"score_spread":0.2984278069496377,"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."}}