{"id":"W1972548302","doi":"10.1007/s10750-014-2069-0","title":"Assessing the effects of dams and waterpower facilities on riverine dissolved organic matter composition","year":2014,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Ministry of Natural Resources and Forestry; Trent University","funders":"Brookfield Renewable Partners; Ontario Ministry of Natural Resources and Forestry","keywords":"Environmental science; Dissolved organic carbon; Hydrology (agriculture); Boreal; Nutrient; Drainage basin; Ecology; Hydroelectricity; STREAMS; Organic matter; Geography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001382489,0.000460869,0.0003428723,0.0005131097,0.000336143,0.0007735648,0.000620791,0.000670662,0.0008041851],"category_scores_gemma":[0.002519432,0.000293681,0.0007207028,0.0006378204,0.0004047571,0.0008788945,0.0005314195,0.0004910811,0.00009453038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278757,"about_ca_system_score_gemma":0.001096087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02417256,"about_ca_topic_score_gemma":0.05263593,"domain_scores_codex":[0.9993229,0.0002540874,0.00003745823,0.0001733277,0.0001204571,0.0000918942],"domain_scores_gemma":[0.9965773,0.00222931,0.0005222941,0.00009086009,0.0002646158,0.0003157317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002634214,0.001435609,0.9046598,0.00009180948,0.0007600238,0.0001925137,0.0001479824,0.02092096,0.05091825,0.0002094225,0.0001564673,0.01787291],"study_design_scores_gemma":[0.00006008899,0.00307154,0.9621059,0.000005245202,0.0003947243,0.0000471344,0.0003118025,0.0213524,0.01212318,0.0001862801,0.0003161282,0.0000255685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994904,0.00001571805,0.0001775997,0.000009642268,0.000001096556,0.000007071348,0.0001341735,0.000003402104,0.0001608843],"genre_scores_gemma":[0.9988497,0.00003242181,0.0005966843,0.000009852021,0.000001361005,0.000008612736,0.0001981269,0.00000200703,0.0003012384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02417256,"threshold_uncertainty_score":0.0480637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004080520928399688,"score_gpt":0.205975830725497,"score_spread":0.2018953097970973,"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."}}