{"id":"W2990498578","doi":"10.1016/j.ecoenv.2019.109945","title":"Assessing the toxicity of cell-bound microcystins on freshwater pelagic and benthic invertebrates","year":2019,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Queen's University; Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Ontario Federation of Anglers and Hunters","keywords":"Daphnia magna; Ceriodaphnia dubia; Biology; Cladocera; Microcystin; Algal bloom; Benthic zone; Invertebrate; Bioassay; Pelagic zone; Microcystis; Environmental chemistry; Microcystis aeruginosa; Cyanobacteria; Ecology; Zooplankton; Toxicity; Phytoplankton; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003173359,0.0001640083,0.0002132492,0.0000165854,0.0002221377,0.00002402624,0.0001298969,0.0001377465,0.002920034],"category_scores_gemma":[0.000006003816,0.000115038,0.00004308598,0.00003684938,0.0004174683,0.0001502691,0.0002333764,0.0001974057,0.0002187978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008371395,"about_ca_system_score_gemma":0.000004422961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004148863,"about_ca_topic_score_gemma":0.0004402089,"domain_scores_codex":[0.9989682,0.0001229642,0.0002528265,0.0003069615,0.0001271529,0.0002218916],"domain_scores_gemma":[0.9994105,0.0001837792,0.0001324835,0.0002044661,8.109614e-7,0.00006803071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004662432,0.0001834306,0.7717057,0.0000429697,0.00002690878,0.000003620782,0.0006775034,0.0005367431,0.2254101,0.0002138635,0.0002197907,0.0009327781],"study_design_scores_gemma":[0.001097938,0.0005484634,0.9356958,0.00003836219,0.00004684114,0.00005816385,0.001342709,0.01573981,0.03865514,0.0008500761,0.005539849,0.0003869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993371,0.00009415858,0.00002734451,0.0002016431,0.0001148206,0.0003133436,0.00004793555,0.000007237515,0.005822575],"genre_scores_gemma":[0.9985579,0.0001090304,0.0001336233,0.0006098833,0.00001526718,0.000006733698,0.00002044554,0.00001124484,0.000535908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1867549,"threshold_uncertainty_score":0.9979914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005679626175141596,"score_gpt":0.2052813589351351,"score_spread":0.1996017327599935,"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."}}