{"id":"W6939951601","doi":"10.6084/m9.figshare.c.5323707","title":"Dramatic increase in water use efficiency with cumulative forest disturbance at the large forested watershed scale","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Disturbance (geology); Primary production; Evapotranspiration; Carbon sequestration; Ecosystem; Water balance; Forest ecology; Hydrology (agriculture)","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":[0.0002580891,0.0001442824,0.0001810842,0.0004417367,0.0003394165,0.0007725304,0.0002635816,0.0001690973,0.0009106888],"category_scores_gemma":[0.0006832393,0.00009137638,0.0001908901,0.0008255395,0.0006225992,0.0002370173,0.0004424381,0.0002602259,0.00006304586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460985,"about_ca_system_score_gemma":0.0007835578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1153086,"about_ca_topic_score_gemma":0.2175654,"domain_scores_codex":[0.9997286,0.00002848443,0.00001823085,0.00008531581,0.00007415385,0.0000651818],"domain_scores_gemma":[0.9994547,0.00009940514,0.0001966254,0.00004537015,0.0001011971,0.0001028007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006952321,0.00005062601,0.9794327,0.0000248473,0.00009783123,0.0002042384,0.0001340027,0.004308595,0.009395967,0.00009204251,0.0001853627,0.006004076],"study_design_scores_gemma":[9.400952e-7,0.00001362944,0.9966149,0.000001884697,0.000008411804,0.00003852191,0.0001403829,0.002492667,0.0005157955,0.00003125209,0.0001385586,0.000003073981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991698,0.00003603974,0.0002540562,0.00001762257,0.000001017707,0.000003343913,0.0001650579,0.00001427081,0.0003387878],"genre_scores_gemma":[0.9997496,0.00001175817,0.00007997545,0.000004132082,7.226544e-7,0.000001923845,0.00007741771,0.000001134385,0.00007332845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153086,"threshold_uncertainty_score":0.2292748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866181602604894,"score_gpt":0.214024680719743,"score_spread":0.195362864693694,"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."}}