{"id":"W2077117594","doi":"10.1007/s10750-012-1323-6","title":"A water level drawdown index for aquatic macrophytes in Nordic lakes","year":2012,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Macrophyte; Drawdown (hydrology); Environmental science; Water Framework Directive; Hydrology (agriculture); Alkalinity; Water level; Range (aeronautics); Ecology; Water quality; Groundwater; Geography; Aquifer; Geology; 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":[0.0005913785,0.0003055368,0.0003455962,0.002380365,0.0003338477,0.0006569994,0.0002339651,0.0003282336,0.0003894982],"category_scores_gemma":[0.001278151,0.0002415011,0.0003196016,0.001232291,0.0001612869,0.0003932592,0.000474019,0.0002505551,0.000118812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042869,"about_ca_system_score_gemma":0.0006493943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04773868,"about_ca_topic_score_gemma":0.07761817,"domain_scores_codex":[0.999705,0.00004305208,0.00005638999,0.00004860208,0.0001046892,0.00004226087],"domain_scores_gemma":[0.9993019,0.0001498049,0.0001878192,0.00002674376,0.0002251626,0.0001085723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004477322,0.00006688292,0.9726658,0.00005403894,0.0001099627,0.0001202615,0.000234835,0.002387747,0.004758632,0.00007215131,0.0004998964,0.01858201],"study_design_scores_gemma":[0.00001153388,0.0001165748,0.9923716,0.00001836755,0.00006127802,0.0001301784,0.0002365846,0.005015362,0.001314242,0.00005456494,0.0006563232,0.00001346057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968938,0.000207734,0.000575482,0.00001286002,0.00001018718,0.00002849955,0.001113161,0.00001976489,0.00113856],"genre_scores_gemma":[0.994837,0.0001326775,0.002320633,0.00000670405,0.000006027361,0.00003195814,0.00191225,0.000005816781,0.00074693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04773868,"threshold_uncertainty_score":0.09492159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912414666228867,"score_gpt":0.2317908393769714,"score_spread":0.2126666927146827,"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."}}