{"id":"W2056654037","doi":"10.1080/10402381.2014.950438","title":"Characterization of phytoplankton seed banks in the sediments of a drinking water reservoir","year":2014,"lang":"en","type":"article","venue":"Lake and Reservoir Management","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Northern Studies","funders":"","keywords":"Water column; Sediment; Phytoplankton; Cyanobacteria; Benthic zone; Microcystis; Algae; Population; Bloom; Algal bloom; Oceanography; Environmental science; Environmental chemistry; Nutrient; Ecology; Geology; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009138587,0.0002523171,0.0002038444,0.0007928004,0.0005671546,0.0005192715,0.0002530263,0.0001790133,0.0003586233],"category_scores_gemma":[0.0002362408,0.0002257943,0.0001064457,0.0007825054,0.0002367953,0.0001723492,0.0002433145,0.0001330764,0.0001070419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007537452,"about_ca_system_score_gemma":0.0009571151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09968148,"about_ca_topic_score_gemma":0.2223267,"domain_scores_codex":[0.999909,0.000004878139,0.000006137474,0.00002047773,0.00003387334,0.00002569757],"domain_scores_gemma":[0.9997337,0.00002073616,0.00006373277,0.000006732892,0.0001087594,0.00006622395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001590666,0.00004201538,0.6462792,0.00006463839,0.00002790379,0.0004629948,0.001018732,0.0002056929,0.3469267,0.00003883742,0.00006947223,0.004704654],"study_design_scores_gemma":[0.000002792018,0.00005601185,0.9911268,0.000003412668,0.00001179808,0.00009043851,0.000314321,0.0003194752,0.007820101,0.000004464217,0.0002457966,0.000004621713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996845,0.0000263258,0.00004520542,0.000002954031,2.529331e-7,0.000004152279,0.00009528797,0.000002486832,0.0001388968],"genre_scores_gemma":[0.9989709,0.00005488711,0.0002649844,0.000007769666,7.810173e-7,0.000007488922,0.0003488513,0.000003054431,0.000341218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09968148,"threshold_uncertainty_score":0.1982026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006833214693372477,"score_gpt":0.2006088534546299,"score_spread":0.1937756387612574,"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."}}