{"id":"W2125011366","doi":"10.1016/j.tree.2007.11.011","title":"Agricultural modifications of hydrological flows create ecological surprises","year":2008,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":378,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Agriculture; Ecology; Geography; Environmental science; Environmental resource management; Biology","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":[0.0006551213,0.0001553883,0.000187551,0.0003012645,0.0004419018,0.001062284,0.0002665971,0.0008331545,0.003580374],"category_scores_gemma":[0.003962507,0.0001423412,0.0002218261,0.0003436099,0.001385169,0.001240174,0.0007165058,0.000848504,0.0004077476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908265,"about_ca_system_score_gemma":0.0002798716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105972,"about_ca_topic_score_gemma":0.001841805,"domain_scores_codex":[0.9997787,0.00004248434,0.00001239358,0.00005322732,0.00005204958,0.0000610857],"domain_scores_gemma":[0.9985582,0.000382529,0.0003501571,0.0003039993,0.0001780414,0.000226931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002584496,0.0007010421,0.572076,0.0002295768,0.0006223298,0.003576039,0.003415695,0.0227574,0.0870507,0.06683515,0.03613307,0.2040185],"study_design_scores_gemma":[0.00009074628,0.0002954808,0.8154781,0.00003535745,0.0001331435,0.001113491,0.006768297,0.01407162,0.008935022,0.1149583,0.03801621,0.0001041891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852836,0.0001560546,0.001695314,0.004802668,0.0002358054,0.000003538133,0.0001728638,0.00009228047,0.007557835],"genre_scores_gemma":[0.9988565,0.00007614219,0.00013723,0.0003402629,0.00005578683,0.000001567198,0.00003481269,0.0000121221,0.0004854766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003580374,"threshold_uncertainty_score":0.01197749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449419633876271,"score_gpt":0.2282960576744041,"score_spread":0.2138018613356414,"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."}}