{"id":"W4283030070","doi":"10.1007/s11273-022-09885-1","title":"Response of Typha to phosphorus, hydrology, and land use in Lake Ontario coastal wetlands and a companion greenhouse study","year":2022,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Typha; Wetland; Environmental science; Hydrology (agriculture); Phosphorus; Biomass (ecology); Eutrophication; Transect; Nutrient; Agronomy; Ecology; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001700513,0.0001178304,0.0001637021,0.0002232124,0.0008894827,0.0003723403,0.0002608002,0.0002591738,0.000969497],"category_scores_gemma":[0.0005533411,0.000153232,0.0002221707,0.0003895559,0.0006264407,0.0002288907,0.0003726172,0.0002558132,0.00009940322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004407797,"about_ca_system_score_gemma":0.002687234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7857512,"about_ca_topic_score_gemma":0.9309177,"domain_scores_codex":[0.9998822,0.00002704659,0.000003552616,0.00002330726,0.00001641803,0.00004744091],"domain_scores_gemma":[0.9994959,0.0001225566,0.00008104768,0.00003201448,0.0000852656,0.0001832486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001653383,0.0003864556,0.9754087,0.00002180332,0.00006794619,0.0002980901,0.004693528,0.0003528552,0.01267515,0.0001112172,0.0009742971,0.003356571],"study_design_scores_gemma":[0.000005555858,0.00004513306,0.9986058,8.88206e-7,0.000004219321,0.00001120505,0.001027612,0.00009073766,0.00008722062,0.0000105504,0.0001087754,0.000002295427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997026,0.000004763468,0.000007621545,0.00001617701,4.435264e-7,0.000003460892,0.00007455661,0.000001193604,0.0001889718],"genre_scores_gemma":[0.9993346,0.00001190649,0.00002457366,0.00002036171,6.771611e-7,0.00001052114,0.0001134221,0.00000117432,0.0004826711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7857512,"threshold_uncertainty_score":0.431021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017153381085123,"score_gpt":0.2104893333824675,"score_spread":0.2003177995716163,"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."}}