{"id":"W189933822","doi":"","title":"Srtrategic Analysis Of Spatial And Temporal Water Quality Of River Chenab And Its Management","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Effluent; Environmental science; Hydrology (agriculture); Material flow analysis; Irrigation; Water resource management; Agriculture; Geography; Environmental engineering; Engineering; Ecology; Waste management","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":[0.0002701779,0.0001484379,0.0001588122,0.000727886,0.0003068975,0.0004425651,0.0003066577,0.0002765914,0.0008525203],"category_scores_gemma":[0.00048904,0.00008925158,0.0003528598,0.001003874,0.000206388,0.0002441565,0.0003519189,0.000219954,0.00009814806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009848863,"about_ca_system_score_gemma":0.000762461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1129023,"about_ca_topic_score_gemma":0.1374778,"domain_scores_codex":[0.9998338,0.00002400132,0.00001081577,0.00005692416,0.0000369607,0.00003742856],"domain_scores_gemma":[0.9997247,0.00005262524,0.00006885194,0.00003260661,0.0000967414,0.00002442761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000153376,0.000177812,0.8844402,0.00008762517,0.0001834722,0.0003581039,0.0003204791,0.08611868,0.007188116,0.000660738,0.001043229,0.01926809],"study_design_scores_gemma":[0.00001136842,0.00009879547,0.7582741,0.000012402,0.00004746108,0.0001017912,0.0006737211,0.2371267,0.00221728,0.0001635518,0.001249021,0.00002375201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978942,0.00002056229,0.0007126369,0.00002870932,0.000002566623,0.000009339274,0.000746294,0.0000446842,0.0005410427],"genre_scores_gemma":[0.9982576,0.00001327854,0.0006015975,0.000002978919,0.000001217485,0.0000128189,0.0008571105,0.000002128763,0.0002513415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1129023,"threshold_uncertainty_score":0.2244903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277930400751067,"score_gpt":0.3070266209937395,"score_spread":0.2792335809186328,"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."}}