{"id":"W4399539042","doi":"10.1680/jenes.23.00111","title":"Seasonal changes in water of River Chenab and its tributaries, Jammu and Kashmir, India","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tributary; Environmental science; Water quality; Hydrology (agriculture); Seasonality; Oceanography; Fishery; Ecology; Geography; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006256123,0.00008245097,0.0001181773,0.0000941892,0.00004392735,0.00003866688,0.00008089051,0.00002904174,0.0001160238],"category_scores_gemma":[0.000008963812,0.00005871983,0.00001419954,0.00009513338,0.0003449956,0.0003421147,0.0001418251,0.0001292337,0.00000292555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008921714,"about_ca_system_score_gemma":0.000007597142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001053308,"about_ca_topic_score_gemma":0.000001745825,"domain_scores_codex":[0.999244,0.00001348807,0.0001643613,0.0001375612,0.0002729422,0.0001676612],"domain_scores_gemma":[0.9997928,0.00002288281,0.00003156756,0.00003903031,0.000001295528,0.0001124238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002962522,0.0000736672,0.03791435,0.00010032,0.00002333436,0.00007096987,0.009372149,0.003111839,0.9375609,0.0002796412,0.0000317111,0.01143148],"study_design_scores_gemma":[0.0004821348,0.0002395184,0.9004454,0.0001302958,0.00002203496,0.000273712,0.0002210931,0.02070917,0.07238824,0.0001001551,0.004785979,0.0002022865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986004,0.0008773518,0.00005908038,0.0002958563,0.00008675075,0.00003990496,0.000009070468,0.000003134619,0.00002850299],"genre_scores_gemma":[0.9990375,0.0004413454,0.0004062193,0.00002760103,0.00001729701,8.335069e-7,3.700698e-7,0.000003683809,0.00006515459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8651727,"threshold_uncertainty_score":0.2394525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007599968632243439,"score_gpt":0.2053814492111751,"score_spread":0.1977814805789317,"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."}}