{"id":"W2613281770","doi":"10.1007/s00027-017-0539-y","title":"Biomass loss and nutrient release from decomposing aquatic macrophytes: effects of detrital mixing","year":2017,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrophyte; Detritus; Decomposition; Myriophyllum; Nutrient; Biomass (ecology); Ceratophyllum demersum; Aquatic plant; Phragmites; Ecology; Biology; Environmental science; Wetland","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002857537,0.0001183066,0.0001916763,0.00005039824,0.000916969,0.0001543234,0.0005965822,0.00004855544,0.0001609188],"category_scores_gemma":[0.0003162922,0.0001012662,0.00003949651,0.0001265978,0.002157686,0.0005068814,0.0004464211,0.00005340439,0.0001990006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004257349,"about_ca_system_score_gemma":0.00001510066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009887511,"about_ca_topic_score_gemma":0.001820844,"domain_scores_codex":[0.9988006,0.00005909109,0.0001783654,0.000369087,0.0002998901,0.0002929097],"domain_scores_gemma":[0.9990611,0.0003566126,0.0001974504,0.0002706047,0.00000326483,0.0001109845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001908419,0.0001115368,0.9303943,0.00004275053,0.00001880368,0.00007329708,0.00129188,0.0000287773,0.06359191,0.0001075915,0.0002438255,0.00407627],"study_design_scores_gemma":[0.002353275,0.001046904,0.3910144,0.0002972651,0.0001367037,0.00002294943,0.0009032029,0.07813478,0.4872288,0.03792603,0.0002400855,0.0006955983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977587,0.0001694977,0.0005903772,0.0003040968,0.0003193164,0.0001503882,0.000003697628,0.0000122288,0.0006916663],"genre_scores_gemma":[0.9963488,0.00002304364,0.003460928,0.0001048867,0.00001750048,0.000002790699,0.00000124239,0.000003834612,0.00003700286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5393798,"threshold_uncertainty_score":0.9967057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182808373985269,"score_gpt":0.2252169372293597,"score_spread":0.213388853489507,"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."}}