{"id":"W4409037248","doi":"10.22541/essoar.174349984.43185979/v1","title":"Climate-Driven Alterations in Wetlandscape Properties Intensify Phytoplankton Blooms in Lake Winnipeg","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Phytoplankton; Algal bloom; Environmental science; Oceanography; Climate change; Ecology; Geology; Biology; Nutrient","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":[0.0001373766,0.000139057,0.0001211765,0.0004239753,0.0005560464,0.0006269535,0.0001947691,0.0001200443,0.0009062967],"category_scores_gemma":[0.0006576308,0.0001103161,0.0001506547,0.0007882764,0.0002846216,0.0001790343,0.0005062816,0.0001283529,0.0000476992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004663467,"about_ca_system_score_gemma":0.002694925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.93964,"about_ca_topic_score_gemma":0.9721501,"domain_scores_codex":[0.9999161,0.00000909294,0.000003961244,0.0000216148,0.00001802051,0.00003123471],"domain_scores_gemma":[0.9998785,0.00001387912,0.00003063354,0.000004086829,0.00003401383,0.00003884097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000641264,0.00002387287,0.9846844,0.00003007104,0.00006023124,0.0001701385,0.0007695942,0.001702674,0.004374642,0.0002159267,0.000603174,0.007301268],"study_design_scores_gemma":[0.000003012296,0.000004308485,0.9970907,0.000004218942,0.000009144552,0.00001448299,0.000535149,0.001626381,0.0002517022,0.00003263968,0.0004246711,0.000003577416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990997,0.00002767291,0.00004740147,0.00004528177,0.000001240835,0.000004099923,0.0003424639,0.000003769056,0.000428389],"genre_scores_gemma":[0.9989682,0.00004676522,0.000209043,0.00001392422,7.243436e-7,0.000003832786,0.0002825077,0.000002540478,0.0004724444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06036001,"threshold_uncertainty_score":0.1214309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018716824471226,"score_gpt":0.2437870556962126,"score_spread":0.2235998874515003,"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."}}