{"id":"W3158963638","doi":"10.7302/967","title":"Assessing Nutrient Management Strategies to Control Harmful Algal Blooms in Lake Erie","year":2021,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Algal bloom; Nutrient; Environmental science; Eutrophication; Oceanography; Ecology; Phytoplankton; 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":[0.00229337,0.0003781356,0.0003653073,0.0006965214,0.0008570595,0.0009498115,0.0006855857,0.0006592153,0.0003006419],"category_scores_gemma":[0.002731637,0.0002963586,0.000460476,0.0007465268,0.0004902796,0.0007773023,0.001394344,0.0003248394,0.00003900532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005709125,"about_ca_system_score_gemma":0.004787039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2965158,"about_ca_topic_score_gemma":0.5760704,"domain_scores_codex":[0.9991465,0.0003827601,0.00005202406,0.00009494903,0.0001343087,0.0001894496],"domain_scores_gemma":[0.9992363,0.0002704455,0.0002169891,0.00002026501,0.0001884053,0.0000674458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004050465,0.0005809119,0.8730029,0.0002997613,0.0004517558,0.0007037513,0.006943709,0.06733114,0.01358199,0.001807041,0.0006458404,0.03424621],"study_design_scores_gemma":[0.00007116819,0.0009874315,0.795654,0.0001016132,0.0002822098,0.00008182484,0.02443468,0.1672699,0.005433438,0.001171253,0.004403245,0.0001091382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984679,0.00004049276,0.0007125577,0.00008305834,5.664837e-7,0.00002544807,0.00003583316,0.000005295713,0.0006288702],"genre_scores_gemma":[0.9944606,0.0001055191,0.004900207,0.00007463629,9.276951e-7,0.00004049794,0.00009083517,0.000004028337,0.0003228074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7034842,"threshold_uncertainty_score":0.5895798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007513153778282333,"score_gpt":0.2046508146888529,"score_spread":0.1971376609105706,"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."}}