{"id":"W1868969064","doi":"10.1890/15-0302.1","title":"Nutrient fluxes from insect herbivory increase during ecosystem retrogression in boreal forest","year":2015,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chronosequence; Herbivore; Ecosystem; Ecology; Nutrient cycle; Taiga; Nutrient; Grassland; Biology; Terrestrial ecosystem; Forest ecology; Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002709889,0.0001096245,0.0001916584,0.00005577479,0.0001069391,0.000006218912,0.0001402406,0.0001392708,0.000194999],"category_scores_gemma":[0.0001389735,0.0001009829,0.00002727532,0.0001258964,0.0001078631,0.0001125761,0.0002609988,0.000149672,0.0004594426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004079156,"about_ca_system_score_gemma":0.00001963691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154985,"about_ca_topic_score_gemma":0.1444271,"domain_scores_codex":[0.9989377,0.0001831033,0.0002304651,0.0002798451,0.00009963819,0.0002692795],"domain_scores_gemma":[0.9995224,0.0001296073,0.00008985904,0.00014842,0.000008346516,0.000101363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007383106,0.0001074642,0.9976729,0.000006430575,0.00001113465,0.00007820858,0.0005768604,0.0007242585,0.0001012625,0.0001247771,0.0004754737,0.00004743416],"study_design_scores_gemma":[0.0009956165,0.0001170711,0.9930791,0.00001370977,0.000007066518,0.000007985069,0.000209166,0.001875366,0.00007896349,0.003314675,0.0001966728,0.0001046196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992987,0.0001163818,0.00001021786,0.0002088269,0.0003522453,0.000164683,0.000005174153,0.00003544827,0.006120061],"genre_scores_gemma":[0.9993324,0.00002132782,0.0002224142,0.0001101893,0.00004834623,0.0000603314,0.0000170713,0.00000861318,0.0001793202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432721,"threshold_uncertainty_score":0.8711848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107388253423194,"score_gpt":0.2206440365889736,"score_spread":0.2099052112466542,"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."}}