{"id":"W2152953609","doi":"10.1139/f00-259","title":"Forest harvest impacts on water quality and aquatic biota on the Boreal Plain: introduction to the TROLS lake program","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Hydrology (agriculture); Biomass (ecology); Phytoplankton; Lake ecosystem; Water column; Plankton; Water quality; Zooplankton; Eutrophication; Boreal; Ecology; Nutrient; Ecosystem; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003233237,0.0001588413,0.00008690991,0.0002942476,0.0005277352,0.000467457,0.000292986,0.0001199019,0.0007139178],"category_scores_gemma":[0.0003483508,0.000081943,0.000144265,0.000350613,0.0003151565,0.0001908183,0.0002563193,0.0001488311,0.00006064562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002884313,"about_ca_system_score_gemma":0.001838356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5401717,"about_ca_topic_score_gemma":0.8380659,"domain_scores_codex":[0.9998567,0.0000204065,0.00000546993,0.0000196276,0.00004830565,0.00004946378],"domain_scores_gemma":[0.9997002,0.00002647638,0.00007603634,0.00001326986,0.00007975139,0.0001043233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004992174,0.0002313849,0.9763458,0.00002815313,0.00004413318,0.0003030305,0.0004138555,0.0004284391,0.004618227,0.00005579313,0.0005861404,0.01644581],"study_design_scores_gemma":[0.000004350611,0.00008164359,0.9990304,0.000002200577,0.000008394656,0.00001603029,0.0001975719,0.0001386346,0.0001798278,0.000006462892,0.000333031,0.000001598095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990096,0.00006324169,0.00003526624,0.00004114097,0.000001882564,0.00001018401,0.0001565059,0.000007832267,0.0006743468],"genre_scores_gemma":[0.9983028,0.0001061256,0.0002590919,0.00004021585,0.000004141122,0.0000103424,0.0004171878,0.000001946258,0.0008580236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4598283,"threshold_uncertainty_score":0.9250726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252390319266855,"score_gpt":0.2410848028396497,"score_spread":0.2185608996469811,"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."}}