{"id":"W4408000154","doi":"10.3390/toxins17030109","title":"Tolerance to a Diet of Toxic Microcystis aeruginosa in Caenorhabditis elegans","year":2025,"lang":"en","type":"article","venue":"Toxins","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University; Ontario Centre of Innovation; Ontario Centres of Excellence","keywords":"Microcystis aeruginosa; Cyanobacteria; Caenorhabditis elegans; Microcystin; Biology; Microcystis; Eutrophication; Algal bloom; Nutrient; Microbiology; Cyanotoxin; Freshwater ecosystem; Ecosystem; Ecology; Bacteria; Phytoplankton; Biochemistry; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001276089,0.0001054124,0.0002124863,0.00005728886,0.00003417857,0.000009381783,0.0002217913,0.00005399701,0.0005720035],"category_scores_gemma":[0.00002589304,0.0001061892,0.00003811489,0.0004497333,0.00004096465,0.000060869,0.0001070779,0.00008095479,0.0001923317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465868,"about_ca_system_score_gemma":0.00001881054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00255119,"about_ca_topic_score_gemma":0.02135064,"domain_scores_codex":[0.9991148,0.00002778798,0.0002813129,0.0002252568,0.0001265059,0.0002244085],"domain_scores_gemma":[0.9995796,0.00004743611,0.00005091808,0.000259577,0.000004490892,0.00005794672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002098693,0.0004947835,0.8075978,0.000269585,0.00003639642,0.00006795442,0.004230331,0.01781763,0.1146884,0.00655892,0.02512079,0.02290747],"study_design_scores_gemma":[0.001348096,0.0004653639,0.8201961,0.0006176265,0.00002414711,0.00001247098,0.0003740021,0.01250528,0.02877893,0.001483324,0.1335064,0.000688315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687037,0.00004893713,0.00157863,0.0003298506,0.0001595435,0.0002547003,0.00005730367,0.00001604593,0.02885128],"genre_scores_gemma":[0.9961042,0.000009035816,0.001122832,0.0003476117,0.00001452834,0.00002307192,0.000003920314,0.000006353695,0.00236843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083856,"threshold_uncertainty_score":0.9965072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00385167861788326,"score_gpt":0.2195831549190051,"score_spread":0.2157314763011218,"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."}}