{"id":"W1597580382","doi":"10.1111/fwb.12072","title":"Multi‐scaled drivers of rural prairie stream metabolism along human activity gradients","year":2012,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Ecosystem; Environmental science; STREAMS; Primary production; Ecology; Nutrient; Aquatic ecosystem; Hydrology (agriculture); Biology","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":[0.0004719212,0.0001271932,0.0001859387,0.000444396,0.0002901603,0.0006504066,0.0002507527,0.0002184221,0.001959887],"category_scores_gemma":[0.001154007,0.0001430076,0.0002514535,0.0006086134,0.0002858873,0.0003041658,0.0005727363,0.000265355,0.0001475702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367903,"about_ca_system_score_gemma":0.000313748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02767747,"about_ca_topic_score_gemma":0.05139894,"domain_scores_codex":[0.9998159,0.00006486007,0.00001054158,0.00005650473,0.00002061619,0.00003162089],"domain_scores_gemma":[0.9992336,0.0002353596,0.0002194722,0.0000639724,0.0001005949,0.0001471113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002953304,0.00001806283,0.9957619,0.000008185832,0.00005882703,0.00005317388,0.0001351131,0.001020923,0.0005733129,0.0001263027,0.0001004292,0.002114287],"study_design_scores_gemma":[9.386417e-7,0.000007309588,0.9977013,0.000001792098,0.000005494452,0.00002161173,0.0001457334,0.001930556,0.00002126967,0.00006741487,0.00009428369,0.00000229646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992378,0.00004380734,0.000177381,0.00006839677,0.000001047297,0.000003422785,0.0002447183,0.000004386351,0.0002189605],"genre_scores_gemma":[0.9996462,0.00001801414,0.00009332773,0.00000584238,0.000001914327,0.000002671861,0.0001262004,0.000001288293,0.0001046707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02767747,"threshold_uncertainty_score":0.05503273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393693592130479,"score_gpt":0.2487945720717057,"score_spread":0.234857636150401,"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."}}