{"id":"W2112799145","doi":"10.1371/journal.pone.0058542","title":"Predator-Driven Nutrient Recycling in California Stream Ecosystems","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canada Research Chairs; Universities Space Research Association","keywords":"Nutrient; Tributary; Biomass (ecology); Ecosystem; Ecology; Environmental science; Rainbow trout; Abundance (ecology); Biology; Aquatic ecosystem; Nutrient cycle; Hydrobiology; Fishery; Fish <Actinopterygii>","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":[0.0002553568,0.000172837,0.0001788793,0.000412967,0.0003997354,0.0005004816,0.0003284515,0.0002497601,0.0005424993],"category_scores_gemma":[0.0005589824,0.0002226257,0.000225521,0.0002636382,0.0002306118,0.0002806476,0.0003072251,0.0001065281,0.00005555866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514103,"about_ca_system_score_gemma":0.0006342472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05470284,"about_ca_topic_score_gemma":0.1163814,"domain_scores_codex":[0.9999171,0.00001333106,0.000008425683,0.00003286044,0.0000153603,0.0000128288],"domain_scores_gemma":[0.9998164,0.00003613849,0.00006649948,0.00001243925,0.00003369333,0.00003480758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002293851,0.0001142992,0.9334927,0.0001199568,0.0001515575,0.0001714877,0.0003468015,0.0352989,0.01645138,0.0004526684,0.0004526982,0.01271824],"study_design_scores_gemma":[0.00002680692,0.000116194,0.9296054,0.0000179228,0.00006424803,0.00009183177,0.0002698888,0.06792977,0.0009653381,0.0004201461,0.000471678,0.00002076712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995876,0.00003102161,0.00009047882,0.000008520901,5.528048e-7,0.000002484543,0.00005081935,0.000007171001,0.0002212415],"genre_scores_gemma":[0.9994879,0.00004305237,0.000281368,0.000006631911,4.5151e-7,0.000004939711,0.00006599786,0.000001929646,0.0001077417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05470284,"threshold_uncertainty_score":0.1087689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052626630415965,"score_gpt":0.193088274074083,"score_spread":0.1725620077699234,"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."}}