{"id":"W2399809389","doi":"10.1111/gcb.13361","title":"Dry conditions disrupt terrestrial–aquatic linkages in northern catchments","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Trent University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Environmental science; Wetland; Aquatic ecosystem; Ecosystem; Terrestrial ecosystem; Riparian zone; Biogeochemical cycle; Soil water; Food web; Ecology; Environmental chemistry; Biota; Hydrology (agriculture); Chemistry; Biology; Soil science; Geology","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":[0.000200052,0.0001561586,0.0003359375,0.0004655442,0.0007657442,0.0007017436,0.0002458849,0.0002382044,0.0009944263],"category_scores_gemma":[0.0004539966,0.0002196864,0.0001681707,0.0007043848,0.0007413267,0.0004253626,0.0009135833,0.0002040342,0.00007155522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050379,"about_ca_system_score_gemma":0.0004948367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714806,"about_ca_topic_score_gemma":0.04999492,"domain_scores_codex":[0.9998419,0.00001997705,0.00000931233,0.00005662947,0.00002832493,0.00004381377],"domain_scores_gemma":[0.9997125,0.00003242441,0.0001338309,0.00001410933,0.00002566663,0.00008151402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000296025,0.000115773,0.8918613,0.00009177835,0.0001225112,0.0003396517,0.001653723,0.0007061698,0.09717937,0.0001795472,0.0002247401,0.007229461],"study_design_scores_gemma":[0.000002556653,0.00001648432,0.9990112,0.000001385942,0.000005579336,0.00001732571,0.0002968339,0.0001586013,0.0003292949,0.00003316827,0.0001257801,0.000001962721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996042,0.00004467991,0.00005757743,0.00001225347,6.71117e-7,0.000003173661,0.00006267753,0.000006342279,0.0002083785],"genre_scores_gemma":[0.9996129,0.00003913797,0.00008004355,0.00002398992,0.000001797898,0.000005668621,0.0001065357,0.00000200543,0.0001279233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714806,"threshold_uncertainty_score":0.05398011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449395810679794,"score_gpt":0.283355248003103,"score_spread":0.258861289896305,"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."}}