{"id":"W2065553200","doi":"10.1890/14-0991.1","title":"Does flood rhythm drive ecosystem responses in tropical riverscapes?","year":2015,"lang":"en","type":"article","venue":"Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Queensland Government; Fisheries Research and Development Corporation; Australian Government","keywords":"Ecology; Flood myth; Ecosystem; Floodplain; Disturbance (geology); Biodiversity; Productivity; Environmental science; Riparian zone; Predictability; Climate change; Species richness; Surface runoff; Geography; Biology; Habitat","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":[0.0003015444,0.00008943211,0.0001413099,0.000360561,0.000202589,0.0004490739,0.000155499,0.000244842,0.001384231],"category_scores_gemma":[0.001302962,0.0001131951,0.0001638548,0.000305783,0.0003985112,0.0003440441,0.0003097768,0.0001821186,0.00009819627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016522,"about_ca_system_score_gemma":0.0001736388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007646558,"about_ca_topic_score_gemma":0.01504996,"domain_scores_codex":[0.999878,0.00004070283,0.000008746414,0.00003364255,0.000009491816,0.00002931793],"domain_scores_gemma":[0.9993086,0.0002112165,0.0002444875,0.00004135058,0.00004592741,0.0001484023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005224747,0.00002102177,0.9947372,0.00001637012,0.00006606564,0.00004910958,0.0004310377,0.0001574594,0.001935253,0.00006154941,0.00007231098,0.002400251],"study_design_scores_gemma":[4.806244e-7,0.00001013133,0.9995327,0.000001736443,0.000004276982,0.00001157368,0.0001948602,0.0001487732,0.00002452468,0.00003734855,0.00003236961,0.00000118797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999532,0.00006334099,0.00004642996,0.00004190842,0.000001903274,0.000001547005,0.00005841242,0.000002002722,0.0002524386],"genre_scores_gemma":[0.9998257,0.00003481501,0.00002584643,0.00001401688,0.000003327187,0.000001449861,0.00003861437,0.000001009095,0.00005532197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007646558,"threshold_uncertainty_score":0.01520413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100925603296651,"score_gpt":0.2199639074228109,"score_spread":0.2098713470931458,"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."}}