{"id":"W2267411421","doi":"","title":"Lagoon Wastewater Effluent Impacts Stream Metabolism in Red River Tributaries","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Environment; University of Alberta","keywords":"Tributary; Effluent; Environmental science; Wastewater; Hydrology (agriculture); Water resource management; Environmental engineering; Geography; Geology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005622053,0.0003435656,0.0003580074,0.0002590259,0.0001893511,0.0001251369,0.0006515752,0.0002040659,0.0008960395],"category_scores_gemma":[0.0000343076,0.0002689411,0.0001354048,0.0004544695,0.0003313332,0.002337781,0.0006061305,0.0002902437,0.001588041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007319598,"about_ca_system_score_gemma":0.00003662922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008240808,"about_ca_topic_score_gemma":0.003591606,"domain_scores_codex":[0.9972627,0.0005313921,0.0003467276,0.0006259884,0.0005197164,0.0007135409],"domain_scores_gemma":[0.9988241,0.00008284754,0.0001721219,0.0005498785,0.00002028262,0.0003507509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001734951,0.0001543093,0.979832,0.000011777,0.00003043966,0.0001405108,0.0008091844,0.00003999824,0.01801913,0.00008030584,0.000007820902,0.0007010083],"study_design_scores_gemma":[0.002227896,0.00007970427,0.9400591,0.00009365574,0.00004056355,0.00001103644,0.00009148435,1.204124e-7,0.03222569,0.000366254,0.02440683,0.0003977068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967836,0.00001945273,0.0001588258,0.002004219,0.0002240332,0.0003017795,0.00009107719,0.0001026595,0.000314328],"genre_scores_gemma":[0.9904512,0.00004236155,0.00005504072,0.0002995991,0.00004214631,0.00000205114,0.00001664393,0.00002532134,0.009065666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03977296,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06695660144303302,"score_gpt":0.300419778484493,"score_spread":0.23346317704146,"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."}}