{"id":"W4366274277","doi":"10.3390/soilsystems7020039","title":"Soil Texture Explains Soil Sensitivity to C and N Losses from Whole-Tree Harvesting in the Boreal Forest","year":2023,"lang":"en","type":"article","venue":"Soil Systems","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"Studium Loire Valley-Institute for Advanced Studies","keywords":"Environmental science; Soil texture; Soil water; Taiga; Agronomy; Biomass (ecology); Soil organic matter; Agroforestry; Limiting; Boreal; Soil science; Forestry; Ecology; Biology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007739112,0.0001968186,0.0002566294,0.0000275369,0.0002270378,0.0002648412,0.0002002377,0.0001418874,0.000001549147],"category_scores_gemma":[0.0001841879,0.00007384144,0.00006892448,0.0006742653,0.00006119054,0.0001080444,0.000117869,0.00019076,0.00005956263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003061957,"about_ca_system_score_gemma":0.00001248032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07654455,"about_ca_topic_score_gemma":0.4833706,"domain_scores_codex":[0.9983422,0.0003001272,0.0002436431,0.0003848871,0.0003226502,0.0004065652],"domain_scores_gemma":[0.9988808,0.0007576157,0.00007490188,0.0001170475,0.000045237,0.0001244198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005576632,0.00007967946,0.8825331,0.00006455222,0.00003997295,0.0003711719,0.002403304,0.001266596,0.04646143,0.0005050997,0.003774674,0.06244469],"study_design_scores_gemma":[0.0001556889,0.00008467829,0.9643888,0.0001034526,0.00001083913,0.00002978233,0.005234322,0.02797543,0.00009925336,0.0002152993,0.001470041,0.000232424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948131,0.0001474469,0.000002717393,0.001697032,0.0002603042,0.0002577109,0.0001686142,0.0001413624,0.002511668],"genre_scores_gemma":[0.9984799,0.00001855719,0.000003190311,0.0002913447,0.0006099831,0.00004708836,0.0001702965,0.00000289553,0.0003767422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4068261,"threshold_uncertainty_score":0.9296048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302409769681799,"score_gpt":0.2240893077659195,"score_spread":0.2010652100691015,"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."}}