{"id":"W2724462140","doi":"","title":"Seeing the forest for the trees : tree species effects on soil microbial communities and nutrient cycling dynamics","year":2017,"lang":"en","type":"article","venue":"Bangor University Research Portal (Bangor University)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; Nutrient cycle; Soil nutrients; Nutrient; Ecology; Tree (set theory); Environmental science; Agroforestry; Forest dynamics; Forestry; Geography; Biology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003513115,0.0001569219,0.0002474699,0.0002031701,0.0005668668,0.001233554,0.0002767306,0.0002961011,0.001552729],"category_scores_gemma":[0.0003282255,0.00009926038,0.0002151861,0.0003545837,0.0004869055,0.0005355084,0.0003297586,0.0003820793,0.0001860463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331172,"about_ca_system_score_gemma":0.001269863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0892741,"about_ca_topic_score_gemma":0.2931269,"domain_scores_codex":[0.9997758,0.0000323247,0.000005171779,0.00007809701,0.00005208414,0.00005651427],"domain_scores_gemma":[0.9997062,0.00005022745,0.00006311179,0.00002169654,0.00006119245,0.00009752459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001311333,0.0002647234,0.6466012,0.0003583033,0.0004087767,0.0006034263,0.004367468,0.0007668387,0.2520745,0.002016698,0.002692334,0.08853433],"study_design_scores_gemma":[0.00000414355,0.00009183575,0.9940369,0.00001689198,0.00004668314,0.00004735773,0.001332842,0.0003303221,0.00202558,0.0002738286,0.00178291,0.00001059344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967279,0.0005833748,0.0003333995,0.000202588,0.00001165487,0.000005765568,0.0002260621,0.000008434705,0.001900745],"genre_scores_gemma":[0.9971032,0.0005682289,0.0005133506,0.0001317205,0.000006844513,0.000004287875,0.0003093322,0.00001093479,0.001352047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0892741,"threshold_uncertainty_score":0.177509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05126794989440157,"score_gpt":0.2406609644142095,"score_spread":0.1893930145198079,"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."}}