{"id":"W7100340939","doi":"","title":"FINAL Bacteria Total Maximum Daily Load (TMDL) For North Canadian River Area (OK520520)","year":2010,"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); Bacteria; Coliform bacteria; Water quality; Water pollution","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":[0.0003279021,0.0003089039,0.0002655033,0.001357209,0.001496709,0.000626353,0.0005775226,0.0002579658,0.001921812],"category_scores_gemma":[0.0004061573,0.0001510369,0.0003191695,0.001787495,0.0001914369,0.0002527613,0.0002783474,0.0003008348,0.000442253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008606804,"about_ca_system_score_gemma":0.007695024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9853826,"about_ca_topic_score_gemma":0.9949104,"domain_scores_codex":[0.9997003,0.00001236076,0.00001683237,0.00004930267,0.000144613,0.00007671416],"domain_scores_gemma":[0.9995103,0.00001354644,0.00003905338,0.00001414722,0.0003580346,0.00006492329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004772346,0.0001174334,0.9475937,0.0001294278,0.0001743367,0.0001657777,0.0004183184,0.002157207,0.006624762,0.0002627196,0.01778536,0.02409356],"study_design_scores_gemma":[0.00000601033,0.00001881395,0.9940563,0.000005784611,0.00002588836,0.00001781996,0.0003174882,0.0005314047,0.0009754696,0.00001717985,0.004020278,0.000007485071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266299,0.0003107406,0.0008392709,0.0001214731,0.00002693282,0.00006103168,0.06060123,0.0001679738,0.01124152],"genre_scores_gemma":[0.9472404,0.0002464892,0.002030327,0.00009612527,0.000006522768,0.00005220721,0.0403821,0.00003253581,0.009913228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9853826,"threshold_uncertainty_score":0.06244707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094736774895651,"score_gpt":0.2225221545408385,"score_spread":0.201574786791882,"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."}}