{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004117053,0.000159088,0.0004113074,0.0001255994,0.00003846338,0.0000130291,0.00008906081,0.0001122989,0.001744035],"category_scores_gemma":[0.000001597044,0.0001134181,0.00009220179,0.0001479188,0.00007565202,0.00008680199,0.00005236653,0.00006527566,0.00001093769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003248941,"about_ca_system_score_gemma":0.000003693411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005631718,"about_ca_topic_score_gemma":0.005047432,"domain_scores_codex":[0.9986427,0.0001099369,0.0004771515,0.0002913564,0.000342366,0.0001364383],"domain_scores_gemma":[0.9995587,0.00001039181,0.0002069879,0.0001548786,0.00001150354,0.00005755757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002811129,0.004113171,0.6272511,0.006612121,0.01770117,0.00004624639,0.07490713,0.002934831,0.1394426,0.0322124,0.001586549,0.09038151],"study_design_scores_gemma":[0.0003046471,0.00005775595,0.9799286,0.00001461149,0.0007643216,1.283622e-7,0.0005482615,0.0003664728,0.0170699,0.00053765,0.0002187392,0.0001889498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824626,0.00003602856,0.00008463165,0.00006691519,0.00003516648,0.000190085,0.00002979271,0.000007725507,0.017087],"genre_scores_gemma":[0.9906486,0.00008367246,0.0003174349,0.00004566237,0.000005245307,0.000004541144,0.0004498971,0.000004460392,0.008440489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3526774,"threshold_uncertainty_score":0.9991685,"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."}}