{"id":"W4319311647","doi":"10.1016/j.scitotenv.2023.162042","title":"Phytoplankton metabolite profiles from two Lake Ontario Areas of Concern reveal differences associated with taxonomic community composition","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Phytoplankton; Bay; Algae; Ecosystem; Algal bloom; Environmental science; Environmental chemistry; Ecology; Oceanography; Biology; Chemistry; Nutrient; Geology","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":[0.0001076163,0.0002507948,0.0001986068,0.0006041278,0.001187457,0.0006102019,0.0001891546,0.0002702095,0.0007869356],"category_scores_gemma":[0.0003337287,0.0001507844,0.0001515974,0.001181174,0.0003443809,0.0002048484,0.0004419282,0.0001560442,0.00009351804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00345417,"about_ca_system_score_gemma":0.002157787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7160993,"about_ca_topic_score_gemma":0.9125432,"domain_scores_codex":[0.9998387,0.000008743125,0.000007002182,0.00004455923,0.0000584001,0.0000424745],"domain_scores_gemma":[0.9997506,0.0000166876,0.00006315125,0.000009122361,0.0001072294,0.00005322999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004039876,0.00003838377,0.84603,0.00006933303,0.00006659755,0.0002612298,0.003238806,0.0001294062,0.1414636,0.00005103807,0.0003645054,0.007883057],"study_design_scores_gemma":[0.000002054292,0.00001779491,0.9980161,0.000001619686,0.000008466687,0.00002059514,0.0004405013,0.00005546378,0.0009554847,0.000005002549,0.0004741289,0.000002706606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998535,0.00007174194,0.00009084491,0.00002718158,0.000001243772,0.00001379574,0.0006827832,0.000003669453,0.0005737815],"genre_scores_gemma":[0.9964457,0.0000945719,0.0004764968,0.00005269781,0.000001727895,0.00002464734,0.001402298,0.00000375473,0.001498051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2839007,"threshold_uncertainty_score":0.5711452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207184857953227,"score_gpt":0.2079642961570674,"score_spread":0.1872458103617447,"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."}}