{"id":"W2096803164","doi":"10.4081/jlimnol.2010.s1.126","title":"Inter-annual variations in water yield to lakes in northeastern Alberta: implications for estimating critical loads of acidity","year":2010,"lang":"en","type":"article","venue":"Journal of Limnology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boreal; Environmental science; Hydrology (agriculture); Surface runoff; Drainage basin; Ecosystem; Oil sands; Yield (engineering); Physical geography; Ecology; Geology; Geography","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":[0.0006236058,0.0002834012,0.000167008,0.000857956,0.0004892302,0.0005546387,0.000374923,0.0001577545,0.0002053551],"category_scores_gemma":[0.001382325,0.0001179361,0.000157626,0.001290271,0.0003547834,0.0002790688,0.000322108,0.000136101,0.00003628522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003205064,"about_ca_system_score_gemma":0.001356375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6857917,"about_ca_topic_score_gemma":0.8648725,"domain_scores_codex":[0.9998078,0.00002945948,0.00001111249,0.00003543806,0.00008325264,0.00003293364],"domain_scores_gemma":[0.9994331,0.0001374815,0.0001194261,0.00003029539,0.0002217582,0.00005796356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007344802,0.00001745255,0.977325,0.00001215001,0.00005368486,0.00006880832,0.0002959952,0.007165935,0.004123817,0.00006917592,0.0001014274,0.01069298],"study_design_scores_gemma":[0.000001805514,0.0000150041,0.9912952,0.000002630554,0.00001286056,0.000013049,0.0003141739,0.007253427,0.0008399796,0.00004851071,0.0001984119,0.000004877459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985669,0.00006097902,0.0006778265,0.00002053346,0.000001163203,0.000006429906,0.0001765779,0.00001961154,0.0004698459],"genre_scores_gemma":[0.998741,0.00005311622,0.0007670969,0.000007611294,0.0000011828,0.000003835775,0.0002266797,0.00000323368,0.000196325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3142083,"threshold_uncertainty_score":0.6321174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141704275194797,"score_gpt":0.2685514935845329,"score_spread":0.2571344508325849,"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."}}