{"id":"W2801121445","doi":"10.1111/btp.12556","title":"Fine‐root exploitation strategies differ in tropical old growth and logged‐over forests in Ghana","year":2018,"lang":"en","type":"article","venue":"Biotropica","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; International Foundation for Science","keywords":"Biomass (ecology); Biology; Root (linguistics); Rainforest; Logging; Productivity; Root system; Environmental science; Rhizosphere; Agroforestry; Ecology; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688373,0.0002127362,0.0001993984,0.0006380128,0.0003336422,0.000371866,0.000204022,0.0001469082,0.001141975],"category_scores_gemma":[0.0003784398,0.0001754072,0.0001155261,0.0006561442,0.0005588972,0.0004740131,0.0003315247,0.0001472282,0.0001514979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000714417,"about_ca_system_score_gemma":0.0001788004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309359,"about_ca_topic_score_gemma":0.06598312,"domain_scores_codex":[0.9998956,0.00001621433,0.000006381099,0.00002480728,0.000008566945,0.00004832836],"domain_scores_gemma":[0.9996661,0.00006722906,0.0001367313,0.00001715081,0.00003483945,0.0000780338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004504228,0.0001058342,0.9650325,0.00005113891,0.00002821838,0.0008687996,0.004255359,0.0002242403,0.02060835,0.0001050821,0.00006290169,0.00820709],"study_design_scores_gemma":[0.000003543008,0.00003394151,0.9976137,0.000004586392,0.000003633821,0.0001448408,0.001714433,0.0001193014,0.000223127,0.00002225113,0.0001139848,0.000002730041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998548,0.0000210411,0.00001672074,0.000002996469,1.899879e-7,0.000001316388,0.00003085547,5.833263e-7,0.00007140222],"genre_scores_gemma":[0.9997627,0.00002470575,0.00005157696,0.000003439181,4.13293e-7,0.000001966052,0.00005019725,7.173307e-7,0.0001042426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02309359,"threshold_uncertainty_score":0.04591835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351202355342432,"score_gpt":0.2451195947271131,"score_spread":0.2216075711736887,"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."}}