{"id":"W2150281642","doi":"10.1139/f00-125","title":"Comparative impacts of fire and forest harvesting on water quality in Boreal Shield lakes","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Taiga; Hydrology (agriculture); Water quality; Phosphorus; Boreal; Dissolved organic carbon; Nutrient; Watershed; Ecology; Environmental chemistry; Geology; Chemistry; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00028193,0.0002358548,0.000266008,0.0003592801,0.0005254691,0.0005231285,0.0002274824,0.0003127261,0.0002632514],"category_scores_gemma":[0.0004271656,0.0001747192,0.000336968,0.000417027,0.0004390939,0.0003302078,0.0003427179,0.0001917857,0.00004417592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101537,"about_ca_system_score_gemma":0.0004447878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05164898,"about_ca_topic_score_gemma":0.108916,"domain_scores_codex":[0.999873,0.00002062335,0.0000120375,0.00002878601,0.00003462613,0.00003084479],"domain_scores_gemma":[0.9995614,0.00004978803,0.0001688516,0.00001648368,0.00009430842,0.0001093035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008562753,0.0001137882,0.9694298,0.00003328438,0.0001081561,0.0002827255,0.0005827713,0.0004556662,0.02468139,0.0000216815,0.0001013926,0.003333007],"study_design_scores_gemma":[0.000002342889,0.00009785822,0.999084,9.3437e-7,0.0000119651,0.0000257117,0.0001372692,0.0001686014,0.000412279,0.000004377782,0.00005181305,0.00000274939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997957,0.00003117625,0.00001627274,0.000005814598,0.000001141538,0.000002183504,0.00005901748,0.00000242135,0.00008612482],"genre_scores_gemma":[0.9996382,0.00003190769,0.00007254891,0.00001234592,0.000001748031,0.000005303377,0.0001485351,9.459644e-7,0.00008846551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.948351,"threshold_uncertainty_score":0.1026967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719602178536349,"score_gpt":0.2452677133995135,"score_spread":0.21807169161415,"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."}}