{"id":"W4387822936","doi":"10.1002/tqem.22115","title":"Physicochemical and biological characteristics of River Hindon at Galheta station from 2009 to 2020","year":2023,"lang":"en","type":"article","venue":"Environmental Quality Management","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"SRM Institute of Science and Technology","keywords":"Biochemical oxygen demand; Alkalinity; Water quality; Chemical oxygen demand; Total suspended solids; Total dissolved solids; Environmental science; Hydrology (agriculture); Environmental engineering; Chemistry; Wastewater; Ecology; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001445938,0.0002151179,0.0001911316,0.0008863516,0.0005202874,0.0007797958,0.0002696213,0.000339978,0.001014868],"category_scores_gemma":[0.0001954554,0.0001266393,0.000203844,0.001444645,0.0002772284,0.0002965203,0.0003375352,0.0002317317,0.0002234185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006008435,"about_ca_system_score_gemma":0.0005995853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01726168,"about_ca_topic_score_gemma":0.04521379,"domain_scores_codex":[0.9998759,0.00001598771,0.000009378028,0.00003153344,0.0000430213,0.0000241417],"domain_scores_gemma":[0.9997631,0.00003219777,0.00005833579,0.00001438958,0.00009449258,0.00003754775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009545372,0.00005837986,0.973106,0.00008832128,0.00004232943,0.0008058485,0.001055024,0.0004550912,0.01184944,0.00007408084,0.0006073936,0.01176255],"study_design_scores_gemma":[0.000002426967,0.00005769074,0.9961396,0.0000079313,0.00001309335,0.0001526066,0.001075939,0.0003298142,0.0007050004,0.00002070915,0.001487506,0.000007635156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978115,0.00006824446,0.00008431656,0.00003855698,0.000005239252,0.000010907,0.0008909193,0.00001149399,0.001078853],"genre_scores_gemma":[0.99632,0.00008248352,0.0003061976,0.00004373432,0.000007255895,0.00001959992,0.001785794,0.000003470189,0.00143142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01726168,"threshold_uncertainty_score":0.03432244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281976717584167,"score_gpt":0.273857331833144,"score_spread":0.2456596600747273,"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."}}