{"id":"W4313909773","doi":"10.1007/s10750-022-05114-1","title":"A review of the nature and source of nutrient impairment in small streams: a desk based characterisation for targeted mitigation measures","year":2023,"lang":"en","type":"review","venue":"Hydrobiologia","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Water Framework Directive; STREAMS; Environmental science; Water quality; Nutrient; Environmental resource management; Drainage basin; Reservation; Biodiversity; Water resource management; Hydrology (agriculture); Ecology; Computer science; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006268488,0.0002160116,0.0007096804,0.00005673285,0.00003124068,0.000004691109,0.00023939,0.0002809723,0.00000529829],"category_scores_gemma":[0.0001651119,0.0001273392,0.0002386111,0.0003781127,0.0001299329,0.00002472962,0.0001237016,0.0001920301,0.000002583913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558776,"about_ca_system_score_gemma":0.00003523774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007131027,"about_ca_topic_score_gemma":0.00002498653,"domain_scores_codex":[0.9986312,0.0002139624,0.0005853018,0.000302445,0.00009921048,0.0001678862],"domain_scores_gemma":[0.9989518,0.0001494853,0.0005996645,0.000256347,0.00001597051,0.00002674638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007180083,0.0005502037,0.04581949,0.2591973,0.0001706067,0.000001553358,0.0003249936,0.0001441206,0.0002391977,0.00003578132,0.0008113047,0.6926336],"study_design_scores_gemma":[0.002209807,0.0009330827,0.01502416,0.4468217,0.00157856,0.00001718771,0.00007814335,0.003419371,0.0008973003,0.001816095,0.5257403,0.001464297],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04543517,0.951398,0.00006184078,0.00004640751,0.0001015887,0.002723911,0.0002063059,0.0000210539,0.000005754613],"genre_scores_gemma":[0.003180641,0.9957722,0.0001453324,0.00009363214,0.00001144018,0.0002935804,0.0004686412,0.00001860335,0.00001596332],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6911693,"threshold_uncertainty_score":0.5192742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176490302475531,"score_gpt":0.2589383746591327,"score_spread":0.2371734716343774,"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."}}