{"id":"W2418580810","doi":"10.1098/rspb.2016.0825","title":"Climate constrains lake community and ecosystem responses to introduced predators","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada","keywords":"Ecosystem; Environmental science; Trophic level; Food web; Trophic cascade; Periphyton; Predation; Biomass (ecology); Ecology; Benthic zone; Lake ecosystem; Pelagic zone; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003159516,0.0001078233,0.0001621586,0.0002679563,0.0003704403,0.0005883693,0.0001607319,0.0002175457,0.001216741],"category_scores_gemma":[0.0007270264,0.0001811562,0.0001871325,0.0001987133,0.000360311,0.0003302002,0.0006215894,0.0001832676,0.00007782159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000619123,"about_ca_system_score_gemma":0.0003477093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343294,"about_ca_topic_score_gemma":0.0395822,"domain_scores_codex":[0.9998294,0.00005325125,0.00001063016,0.00003450273,0.00002388401,0.00004831595],"domain_scores_gemma":[0.9995251,0.00007275132,0.0001772242,0.00003227439,0.0000728008,0.0001199649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002829847,0.00009592627,0.934828,0.00005018033,0.0001641159,0.000167359,0.0008182785,0.001233406,0.0562447,0.0002047827,0.0002120389,0.005698127],"study_design_scores_gemma":[0.000002001174,0.00002865466,0.9989974,0.000001872325,0.0000102444,0.00001383173,0.000216983,0.0003906036,0.0002125482,0.00003370691,0.00008978571,0.000002370733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997107,0.00002826024,0.00002351647,0.00001365121,5.315021e-7,7.6367e-7,0.00002186814,0.000001741504,0.0001989118],"genre_scores_gemma":[0.9998335,0.00003197571,0.00002756396,0.00001394934,0.000001405449,0.000001294121,0.00003509909,0.000001070701,0.00005411698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343294,"threshold_uncertainty_score":0.0267095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326471063159337,"score_gpt":0.2368541413912963,"score_spread":0.2135894307597029,"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."}}