{"id":"W2911131634","doi":"10.1002/ecy.2570","title":"Consumer trophic positions respond variably to seasonally fluctuating environments","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"Japan Society for the Promotion of Science; National Science Council; Belmont Forum","keywords":"Trophic level; Ecology; Food web; Seasonality; Ecosystem; Foraging; Floodplain; Omnivore; Trophic state index; Range (aeronautics); Biology; Environmental science; Predation; Nutrient; Phytoplankton","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146342,0.0000829748,0.0001752285,0.0004484941,0.0001773598,0.0004009039,0.000125208,0.0002069942,0.001256621],"category_scores_gemma":[0.0006138442,0.0001358593,0.00009383417,0.000354345,0.0002604761,0.0001933927,0.0003174032,0.0001942369,0.0001378172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000243821,"about_ca_system_score_gemma":0.00009797105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010139,"about_ca_topic_score_gemma":0.008410352,"domain_scores_codex":[0.9999251,0.00001566822,0.000004693045,0.0000237711,0.00001558681,0.00001516852],"domain_scores_gemma":[0.9996598,0.00009240844,0.0001346035,0.00002491306,0.00004802557,0.00004017745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006311887,0.00005637264,0.8574467,0.0001015584,0.000218622,0.0002146647,0.0007755868,0.0008561462,0.1232186,0.0002123176,0.0003716729,0.01589651],"study_design_scores_gemma":[9.986683e-7,0.00002037037,0.9990163,0.000002213096,0.000004825868,0.00002279628,0.0001316054,0.0002642714,0.0003935676,0.00005561767,0.00008507017,0.000002328209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993336,0.00005544164,0.0001267901,0.00001302863,0.000001368572,0.000001324683,0.0001023632,0.000003657578,0.0003623751],"genre_scores_gemma":[0.9996252,0.00003194314,0.00008289822,0.00001310516,0.000001018811,0.000002807592,0.0001051983,0.000002059262,0.0001357146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003010139,"threshold_uncertainty_score":0.0059852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004620694010463637,"score_gpt":0.2161682995697568,"score_spread":0.2115476055592932,"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."}}