{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004556559,0.00006850887,0.0001642807,0.00004418231,0.0001357088,0.00007520009,0.0001135083,0.00002340125,0.00008957794],"category_scores_gemma":[0.00004286935,0.00004244297,0.00001695478,0.0001223339,0.0008437324,0.0003237851,0.000008677737,0.00006832747,0.000001488791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002672139,"about_ca_system_score_gemma":0.00004766784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05168424,"about_ca_topic_score_gemma":0.1079973,"domain_scores_codex":[0.9992793,0.00004054314,0.0002402393,0.00009639937,0.0001463516,0.0001972035],"domain_scores_gemma":[0.9995977,0.00008334631,0.00007064594,0.00004051974,0.000003682796,0.000204118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001082455,0.00000661382,0.9876292,0.000004251554,0.000001932626,0.000008190769,0.004739619,0.0001303869,0.00001164583,0.00002379026,0.00006827131,0.007365293],"study_design_scores_gemma":[0.000232335,0.0003976134,0.9895782,0.00008454885,0.000004217904,0.00002277654,0.001920061,0.002883065,0.0001425404,0.004200555,0.0004413307,0.00009272137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952596,0.00005488829,0.000001482605,0.0009206479,0.00003365204,0.00003555188,0.000002861617,8.080895e-7,0.003690513],"genre_scores_gemma":[0.9996496,0.00002701031,0.0001348747,0.0001141516,0.00001066172,3.723873e-7,5.350377e-7,0.000001510061,0.00006132169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05631309,"threshold_uncertainty_score":0.9546307,"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."}}