{"id":"W3119087108","doi":"10.1002/lno.11694","title":"Quantifying seasonal succession of phytoplankton trait‐environment associations in human‐altered landscapes","year":2021,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta; Alberta Environment and Protected Areas","funders":"Alberta Environment and Parks","keywords":"Trait; Ecology; Phytoplankton; Ecological succession; Habitat; Biology; Ecosystem; Environmental change; Temperate climate; Climate change; Environmental science; Nutrient","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002852507,0.0001284365,0.0001390636,0.0008939467,0.0003368449,0.0005315507,0.0002153874,0.0001431886,0.0004739925],"category_scores_gemma":[0.0006153393,0.0001154722,0.0001635779,0.001105002,0.0003412856,0.0001617767,0.0003251139,0.00009480671,0.00004912052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340439,"about_ca_system_score_gemma":0.0006735935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3260517,"about_ca_topic_score_gemma":0.6300535,"domain_scores_codex":[0.999886,0.00002662788,0.000005007011,0.00003252903,0.00002206691,0.00002772915],"domain_scores_gemma":[0.9997358,0.0000502161,0.00007298509,0.00002983138,0.00007442055,0.000036844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005394315,0.00001035364,0.9889736,0.00001160113,0.00006305901,0.00003534758,0.0001725228,0.002400841,0.003254428,0.00007954738,0.00008123754,0.004863598],"study_design_scores_gemma":[8.086097e-7,0.000006112913,0.9973902,0.00000116086,0.00000677832,0.00001207685,0.0001763941,0.002195738,0.0001112202,0.00003145148,0.00006607609,0.000001897823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996116,0.00001827514,0.000144587,0.000004159506,2.189899e-7,0.000001404603,0.0001268477,0.000003911595,0.00008903437],"genre_scores_gemma":[0.9995783,0.000009587968,0.0002345601,0.000001905433,2.22861e-7,0.000001117361,0.0001170912,7.681512e-7,0.00005646981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3260517,"threshold_uncertainty_score":0.6483078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559634224114575,"score_gpt":0.2443302292869949,"score_spread":0.2287338870458492,"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."}}