{"id":"W4404885982","doi":"10.1016/j.heliyon.2024.e40687","title":"Cyanobacteria in winter: Seasonal dynamics of harmful algal blooms and their driving factors in boreal lakes","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Medical Research Council; Fondation de l’Université du Québec en Abitibi-Témiscamingue; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Forest Research Institute; Mitacs; Verband der Chemischen Industrie","keywords":"Algal bloom; Cyanobacteria; Environmental science; Boreal; Oceanography; Ecology; Eutrophication; Phytoplankton; Biology; 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":[0.0002750278,0.0002072644,0.000227117,0.0007737534,0.000771937,0.0006347815,0.0001890284,0.0002306433,0.0004521656],"category_scores_gemma":[0.0004197508,0.0001174902,0.0001955618,0.0008499415,0.0003149042,0.0003981949,0.0003508074,0.0001579324,0.00005899207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390621,"about_ca_system_score_gemma":0.0007391791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2098471,"about_ca_topic_score_gemma":0.3516828,"domain_scores_codex":[0.9998125,0.00001755749,0.00001743004,0.00004989638,0.00004801015,0.00005454757],"domain_scores_gemma":[0.9994515,0.00002886639,0.0002276664,0.00001120853,0.0001233586,0.0001574194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006013188,0.00001556235,0.9949753,0.00001128383,0.00001537059,0.0000417985,0.0003079138,0.00005163527,0.002888183,0.00001042824,0.00006464123,0.001557736],"study_design_scores_gemma":[4.492889e-7,0.000008200408,0.9996845,9.622316e-7,0.000002184817,0.00001322357,0.0001518268,0.00004706959,0.00003295059,0.000002337114,0.00005519412,0.000001184884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993319,0.0001521029,0.00002655086,0.00002448687,0.00000170034,0.000003236288,0.0002019609,0.000003821167,0.0002542606],"genre_scores_gemma":[0.9995556,0.00005767812,0.00006231671,0.00001490157,0.000003932674,0.000004062486,0.0002051395,9.289031e-7,0.00009530059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2098471,"threshold_uncertainty_score":0.4172513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005966179894094491,"score_gpt":0.2076958646321198,"score_spread":0.2017296847380253,"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."}}