{"id":"W7097424088","doi":"","title":"DRAFT Bacteria Total Maximum Daily Load (TMDL) For North Canadian River Area (OK520520)","year":2009,"lang":"en","type":"article","venue":"","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Water quality; Water pollution; Coliform bacteria; Alewife","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00459647,0.001361978,0.000767736,0.003203009,0.00206446,0.001681043,0.003449502,0.001175184,0.01139785],"category_scores_gemma":[0.004785785,0.0007607779,0.0009934059,0.004063739,0.0004227305,0.0007846372,0.0009111306,0.0009902999,0.005118758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01447056,"about_ca_system_score_gemma":0.04408098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9705415,"about_ca_topic_score_gemma":0.9669608,"domain_scores_codex":[0.9971011,0.00019261,0.0002296393,0.0001959619,0.00180222,0.0004784439],"domain_scores_gemma":[0.987677,0.0003509498,0.0004913735,0.0003550288,0.01030964,0.00081598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001746494,0.0006556626,0.1117126,0.001574109,0.000212659,0.0002703042,0.0009449946,0.01818383,0.01046115,0.003855745,0.7342014,0.1161811],"study_design_scores_gemma":[0.0003403723,0.0004448864,0.568488,0.0003330892,0.0002276401,0.00007386651,0.0008696919,0.01188303,0.01040736,0.001035058,0.4057339,0.0001630995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06554687,0.001450438,0.02555186,0.001769822,0.0009923485,0.002741174,0.8395607,0.002646482,0.05974034],"genre_scores_gemma":[0.1536784,0.001571409,0.08778486,0.0010367,0.0002038713,0.003339775,0.6542914,0.0008657641,0.09722783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02945846,"threshold_uncertainty_score":0.1049918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462616605804514,"score_gpt":0.2173248848142852,"score_spread":0.20269871875624,"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."}}